Objective:Artemether is a semi-synthetic derivative of artemisinin and is widely used in the treatment of Plasmodium(P.)falciparum malaria.This study aimed to characterize the safety profile of artemether based on 15-...Objective:Artemether is a semi-synthetic derivative of artemisinin and is widely used in the treatment of Plasmodium(P.)falciparum malaria.This study aimed to characterize the safety profile of artemether based on 15-year data retrived from FDA adverse event reporting system(FAERS).Methods:This is a retrospective analysis on 15-year data of artemether-related adverse effects(AEs)retrieved from the FAERS.AEs were classified according to System Organ Class(SOC)and Preferred Terms(PT).Signal detection was performed using Reporting Odds Ratios(ROR),Proportional Reporting Ratios(PRR),and Empirical Bayes Geometric Mean(EBGM).Stratified analyses examined the impact of demographic factors such as sex,age,and time-to-onset.Temporal patterns and associated risk factors were also investigated.Results:Haemolytic anaemia and haemolysis emerged as the most frequently reported AEs,exhibiting significantly elevated RORs(males:ROR 381.36,95%CI 247.06-588.60;females:ROR 455.11,95%CI 286.43-723.12).Sex-specific differences were evident,with females showing a higher incidence of reproductive-related AEs,including spontaneous abortion and premature labour.Temporal trend analysis revealed that the majority of AEs occurred within the first 30 days after the initiation of artemether administration,indicating a rapid onset.The most affected SOCs were blood and lymphatic system disorders and hepatobiliary disorders.Conclusions:Artemether is associated with a notable frequency of early-onset AEs,particularly hematological and hepatobiliary disorders.The observed sex-specific vulnerability to reproductive AEs highlights the need for sex-conscious clinical approaches.Enhanced post-treatment monitoring and further investigations into the drug’s pharmacokinetics and mechanistic pathways are recommended.展开更多
Objective:To characterize placental morphologic features in Moroccan women with adverse outcomes,across different clinical contexts,based on the Amsterdam consensus classification.Methods:A prospective analysis was co...Objective:To characterize placental morphologic features in Moroccan women with adverse outcomes,across different clinical contexts,based on the Amsterdam consensus classification.Methods:A prospective analysis was conducted on placentas with umbilical cords collected fresh between March 1,2024 and July 15,2024 from women with adverse pregnancy outcomes.Clinical data(age,parity,gravidity,complications)were retrieved.Macroscopic parameters(weight,dimensions,cord insertion,membranes,lesions)were assessed,followed by systematic sampling.Tissue was processed by standard histology(formalin fixation,paraffin embedding,hematoxylin and eosin staining),and lesions were classified per Amsterdam criteria.Results:16 placentas from patients with adverse pregnancy outcomes were included.The median maternal age was 30 years.Adverse conditions included placental abruption(50%),intrauterine growth restriction(IUGR,38%),intrauterine fetal death(IUFD,31%),pre-eclampsia/eclampsia(19%),premature rupture of membranes(13%),and oligohydramnios(13%).Several placentas were associated with more than one adverse condition.Histopathology revealed maternal vascular malperfusion lesions in 94%,particularly in pre-eclampsia,IUGR,and IUFD.Fetal vascular malperfusion was found in 88%,mainly in IUGR and IUFD.Inflammatory lesions,dominated by acute maternal and fetal responses stage 3(necrotizing chorioamnionitis and funisitis),were primarily linked to IUFD.Conclusions:Placental examination enhances understanding of the pathophysiology underlying adverse pregnancy outcomes,supports diagnostic confirmation,and guides preventive strategies for recurrence.This study highlights the prevalence of maternal vascular malperfusion in Moroccan women and emphasizes the importance of systematic placental histopathology in obstetric care.展开更多
Geological analysis,despite being a long-term method for identifying adverse geology in tunnels,has significant limitations due to its reliance on empirical analysis.The quantitative aspects of geochemical anomalies a...Geological analysis,despite being a long-term method for identifying adverse geology in tunnels,has significant limitations due to its reliance on empirical analysis.The quantitative aspects of geochemical anomalies associated with adverse geology provide a novel strategy for addressing these limitations.However,statistical methods for identifying geochemical anomalies are insufficient for tunnel engineering.In contrast,data mining techniques such as machine learning have demonstrated greater efficacy when applied to geological data.Herein,a method for identifying adverse geology using machine learning of geochemical anomalies is proposed.The method was identified geochemical anomalies in tunnel that were not identified by statistical methods.We by employing robust factor analysis and self-organizing maps to reduce the dimensionality of geochemical data and extract the anomaly elements combination(AEC).Using the AEC sample data,we trained an isolation forest model to identify the multi-element anomalies,successfully.We analyzed the adverse geological features based the multi-element anomalies.This study,therefore,extends the traditional approach of geological analysis in tunnels and demonstrates that machine learning is an effective tool for intelligent geological analysis.Correspondingly,the research offers new insights regarding the adverse geology and the prevention of hazards during the construction of tunnels and underground engineering projects.展开更多
BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery ...BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery and long-term survival.Accurate preoperative identification of high-risk patients is critical for improving outcomes.AIM To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with MIE.METHODS This retrospective study included 747 patients who underwent MIE at two centers from January 2019 to February 2024.Patients were separated into a train set(n=549)and a validation set(n=198).After screening by least absolute shrinkage and selection operator regression,multivariate logistic regression analyzed clinical and intraoperative variables to identify independent risk factors for SAEs.A risk stratification model was constructed and validated to predict the probability of SAEs.RESULTS SAEs occurred in 10.2%of patients in train set and 13.6%in the validation set.Patients with SAE had significantly higher complication rate and a longer hospital stay after surgery.The key independent risk factors identified included chronic obstructive pulmonary disease,a history of alcohol consumption,low forced expiratory volume in the first second,and low albumin levels.The stratification model has excellent prediction accuracy,with an area under the curve of 0.889 for the training set and an area under the curve of 0.793 for the validation set.CONCLUSION The developed risk stratification model effectively predicts the risk of SAEs in patients undergoing MIE,facilitating targeted preoperative interventions and improving perioperative management.展开更多
Treatment with immune checkpoint inhibitors(ICIs)is an innovative therapy for managing certain types of malignancy and has the potential to improve overall patient survival significantly.The most widely used ICIs sele...Treatment with immune checkpoint inhibitors(ICIs)is an innovative therapy for managing certain types of malignancy and has the potential to improve overall patient survival significantly.The most widely used ICIs selectively target different receptors comprising programmed cell death-1 receptor,programmed cell death-ligand 1 receptor,and cytotoxic T lymphocyte antigen 4 receptor.The widespread utilization of ICIs over the past several years,however,is frequently accompanied by immune-related adverse events(irAEs)that substantially impact the patient’s quality of life,particularly those affecting the digestive system,including both the upper and lower gastrointestinal tract.Based on a literature search covering databases such as PubMed,Web of Science,Embase,and the Cochrane Library,we present an insight into primary gastrointestinal irAEs,with a special focus on endoscopic manifestations.Additionally,we analyze data regarding the pathogenetic mechanisms,diagnostic approaches,histological characteristics,and proposed therapeutic interventions for managing irAEs involving the gastrointestinal tract.展开更多
Objective:Despite established associations between certain medications and urticaria,the risk profiles of most pharmaceutical agents remain poorly characterized.This investigation aimed to identify risk factors for me...Objective:Despite established associations between certain medications and urticaria,the risk profiles of most pharmaceutical agents remain poorly characterized.This investigation aimed to identify risk factors for medication-induced urticaria through comprehensive analysis of the FDA Adverse Event Reporting System(FAERS)database.Methods:We employed reporting odds ratios(ROR)to evaluate drug-urticaria associations using FAERS data spanning from Q12004 to Q32024.Analytical approaches included univariate screening,LASSO regression,and multivariate logistic regression to identify potential risk factors.Multiple comparison adjustments were implemented using the Bonferroni method.Results:The study identified 1807 pharmaceutical agents potentially associated with urticaria development.Univariate analysis categorized these agents into several therapeutic classes:antimicrobials(19/85),biologics(16/85),analgesics(8/85),dermatologicals(3/85),anti-rheumatic agents(4/85),hormonal preparations(3/85),antihypertensives(2/85),neuropsychiatric medications(2/85),uric acid-lowering drugs(2/85),multiple sclerosis therapies(2/85),and miscellaneous agents(17/85).Multivariate analysis identified three significant risk determinants:middle-aged individuals(36-53 years),female gender,and exposure to any of 82 specific medications.Conclusion:These evidence-based findings provide valuable insights for early clinical recognition of drug-induced urticaria and establish a foundation for subsequent mechanistic investigations into medication-related hypersensitivity reactions.展开更多
BACKGROUND In randomized controlled trials(RCTs),the placebo arm has often been ignored as the attention tends to be focused on the treatment arm.We undertook a meta-analysis based on the data from the placebo arm in ...BACKGROUND In randomized controlled trials(RCTs),the placebo arm has often been ignored as the attention tends to be focused on the treatment arm.We undertook a meta-analysis based on the data from the placebo arm in RCTs of hepatocellular carci-noma(HCC),the response rates and survival status,and adverse events(AEs)were summarized and evaluated.AIM To systematically evaluate the response rates,survival status and AEs in the placebo arms of RCTs for HCC.METHODS A systematic search was performed on PubMed,Ovid MEDLINE,Embase and Cochrane Library to identify relevant trials evaluating the efficacy of drugs for the treatment of HCC,published until December 31,2023.Statistical analysis was performed using R statistical software(version 4.3.2).RESULTS A total of 18 RCTs,involving 2390 patients,met the criteria for inclusion in the meta-analysis.The pooled overall disease control rate and objective response rate in the placebo group were 38%[95%confidence interval(CI):33%-42%]and 1%(95%CI:1%-2%),respectively.Overall survival and progression-free survival in the placebo group were 7.9 months(95%CI:7.6-8.31 months)and 1.9 months(95%CI:1.6-2.1 months),respectively.The incidence of grade 3 or 4 AEs was 37%(95%CI:30%-43%).Additionally,the incidence of interruptions or dose reductions due to AEs was 20%(95%CI:13%-27%),while the incidence of treatment discontinuation due to AEs was 9%(95%CI:6%-12%).CONCLUSION Over one-third of advanced HCC patients exhibit therapy-free disease control,with placebo-arm AEs observed.These findings guide single-arm trials design and enhance patient acceptance of anticancer therapies.展开更多
BACKGROUND Intra-arterial chemotherapy(IAC)has become a first-line standard treatment for retinoblastoma(RB).However,studies describing its adverse events are sparse,especially from the developing world.Our study desc...BACKGROUND Intra-arterial chemotherapy(IAC)has become a first-line standard treatment for retinoblastoma(RB).However,studies describing its adverse events are sparse,especially from the developing world.Our study described the outcomes and adverse events from a single center in South India.AIM To describe the challenges,treatment outcomes,and complications of selective IAC for RB in Indian eyes.METHODS This study was a single center,retrospective study that included 17 patients with RB who underwent IAC using melphalan(5/7.5 mg)and topotecan(1/2 mg)(n=12)or melphalan(5 mg)alone(n=3)or triple therapy that included carboplatin(30 mg)along with these drugs(n=2)between January 2018 and December 2023.In all,17 IAC procedures were performed using selective ophthalmic artery cannulation.Treatment outcomes were evaluated in terms of tumor control,vitreous and subretinal seed control,complications,and globe salvage rates.RESULTS Out of the 17 patients,11 were diagnosed with unilateral RB and 6 were diag-nosed with bilateral RB.The mean age at the time of diagnosis was 19.8 months.The mean interval between the first symptom and presentation was 6.5 months.IAC was employed as the primary(n=9)or secondary(n=8)modality of treatment.Each eye received a mean of 1.5 IAC sessions(median:1 session;range:1-3 sessions).Eyes were classified according to the international classification of RB as group B(n=5),group C(n=1),group D(n=4),and group E(n=7).Following IAC,complete regression of the main tumor was seen in 15 eyes(88%)and partial regression in 2 eyes(12%).Globe salvage was achieved in 15 eyes(88%).Adverse effects included vitreous hemorrhage(n=3),rhegmatogenous retinal de-tachment(n=2),choroidal ischemia(n=1),isolated subretinal hemorrhage(n=2),retinal pigment epithelium degeneration(n=2),forehead pigmentation(n=1),third nerve palsy with complete ptosis(n=1),and 30-degree exotropia(n=1).The mean follow-up period was 28.6 months(median:24 months,range:1–72 months).CONCLUSION IAC is an effective way to control RB and globe preservation.In the Indian context we encountered many cha-llenges highlighting the importance of case selection.Further studies in India are required to thoroughly un-derstand IAC as a treatment for RB.展开更多
To address the early separation problem in the Menter Shear-Stress Transport(SST)turbulence model,a correction for the Turbulent Kinetic Energy(TKE)production term,P_(k),is introduced to account for the effect of the ...To address the early separation problem in the Menter Shear-Stress Transport(SST)turbulence model,a correction for the Turbulent Kinetic Energy(TKE)production term,P_(k),is introduced to account for the effect of the Adverse Pressure Gradient(APG).The correction is determined based on the distribution of Pkin the APG region before separation.When the friction coefficient C_(f) is decomposed,its direct dependence on Pkis clearly observed.However,with the introduction of Bradshaw’s assumption,Pkin the SST turbulence model is over-suppressed,resulting in a lower inner peak or no significant inner peak distribution at all.To address this problem,this paper proposes a Gaussian function,HGauss,which corrects the numerical values of P_(k) involved in the calculation of the Menter SST model by focusing on the inner peak region of P_(k).The modified SST model is then applied to four cases with APGs.The modification leads to an increase in the wall friction coefficient C_(f)in the APG region and causes a downstream shift in the separation location,improving the model’s consistency with high-accuracy data and experimental results.It is demonstrated that this correction can improve the early separation problem in the Menter SST turbulence model.展开更多
Background: Exposure to adverse childhood experiences (ACEs) is associated with a higher likelihood of developing psychological disorders among adolescents. The current study aimed to analyze the effect of independent...Background: Exposure to adverse childhood experiences (ACEs) is associated with a higher likelihood of developing psychological disorders among adolescents. The current study aimed to analyze the effect of independent and cumulative effects of ACEs exposure on the likelihood of Posttraumatic Stress Disorder (PTSD) and a Complex PTSD (CPSTD) diagnosis in Indian adolescents. Methods: A sample of 411 schoolchildren participated in the study. It was collected data on exposure to ACEs, PTSD, CPTSD, and attachment styles. Results: It was found that exposure to bullying and threats of violence was significantly associated with PTSD and CPTSD diagnosis, and exposure to physical violence and serious illness was associated with CPTSD diagnosis. Exposure to one ACE and exposure to 2 - 3 ACEs were associated with PTSD and CPTSD diagnosis, while exposure to 4 - 5 ACEs was associated with CPTSD diagnosis. Preoccupied and fearful attachment styles were significantly associated with PTSD and CPTSD diagnosis. Conclusion: The results of the study suggest that biological, psychological, and social factors interact and contribute to the differential prevalence of ACE, attachment styles, and PTSD/CPTSD. This study emphasizes the need of addressing childhood trauma as a public health priority in India.展开更多
This study sought to investigate adverse drug event(ADE)signals associated with eltrombopag use in pediatric patients aged 0–18 years,utilizing data from the U.S.Food and Drug Administration Adverse Event Reporting S...This study sought to investigate adverse drug event(ADE)signals associated with eltrombopag use in pediatric patients aged 0–18 years,utilizing data from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS).By analyzing this extensive pharmacovigilance database,the study aimed to offer meaningful insights for improving the clinical safety of eltrombopag in children.Data covering eltrombopag-related ADEs from Q12004 to Q42023 were extracted from FAERS,and signal detection was conducted using both the reporting odds ratio(ROR)and proportional reporting ratio(PRR)methods.ADEs were categorized based on the System Organ Class(SOC)classification in MedDRA version 25.0.A total of 582 reports involving pediatric patients receiving eltrombopag were identified,encompassing 21 SOC categories.The analysis revealed that,in addition to the known ADEs listed in the drug label,clinicians should remain vigilant for potential off-label ADE signals.These included abnormal platelet counts,thrombocytosis,antiphospholipid syndrome,myelofibrosis,reduced serum iron levels,myelodysplastic syndrome,hepatic infections,and other related conditions.Given these findings,it is strongly recommended that serum iron and ferritin levels should be routinely monitored in pediatric patients undergoing eltrombopag therapy,particularly during long-term treatment.Such proactive surveillance may help prevent the onset of iron deficiency anemia and enhance overall treatment safety.展开更多
Objective:To utilize the VigiAccess database for data mining to analyze the characteristics of adverse reactions induced by mirogabalin,providing critical information for clinical medication use.Method:This study anal...Objective:To utilize the VigiAccess database for data mining to analyze the characteristics of adverse reactions induced by mirogabalin,providing critical information for clinical medication use.Method:This study analyzed data from the VigiAccess database,filtering out adverse reaction reports where mirogabalin was identified as the Primary Suspect Drug(PS).Reporting Odds Ratio(ROR),Proportional Reporting Ratio(PRR),Bayesian Confidence Propagation Neural Network(BCPNN),and Empirical Bayes Geometric Mean(EBGM)methods were employed as data mining algorithms for pharmacovigilance and adverse event monitoring.These methods identify potential drug-adverse event association signals by analyzing the relationship between drug use and adverse event reporting.ROR and PRR focus on calculating reporting ratios,while BCPNN and EBGM use neural networks and empirical Bayes models,respectively,to enhance the accuracy and reliability of signal detection.Results:A total of 734 adverse reaction reports associated with mirogabalin were obtained.The results showed that females reported the highest number of adverse reactions,accounting for 59.67%,while males accounted for 38.83%.In terms of age distribution,the highest number of reports came from individuals over 75 years old,accounting for 33.79%.Adverse reactions mainly involved the nervous system(33.45%),general diseases and reactions at the site of administration(11.62%),and gastrointestinal disorders(10.74%).The most common adverse reactions included dizziness(11.62%),somnolence(8.27%),renal dysfunction(2.90%),and edema(2.82%).Signal intensity analysis revealed that certain adverse reactions(such as renal dysfunction,rhabdomyolysis,and drug-induced liver injury)had significant signal strength,suggesting a strong association with mirogabalin.Conclusion:This study,through signal mining of the VigiAccess database,reveals the characteristics of mirogabalin’s adverse reactions in the real world,particularly in the nervous system and renal function.These findings provide important reference information for clinicians,aiding in the optimization of the safe use of mirogabalin.Future research should further validate the causal relationships of these signals and explore individualized treatment strategies to reduce the incidence of adverse reactions and improve patient outcomes.展开更多
Obesity is a global pandemic that has been threatening the worldwide population.It has been reported to be associated with an increase in the risk of chronic diseases such as type 2 diabetes mellitus(T2DM),cardiovascu...Obesity is a global pandemic that has been threatening the worldwide population.It has been reported to be associated with an increase in the risk of chronic diseases such as type 2 diabetes mellitus(T2DM),cardiovascular disease,and other diseases,including some malignancies.Currently,the first line of management includes lifestyle modifications.However,recently,bariatric surgeries were introduced to combat obesity.The previous modalities of management are always challenging since lifestyle could have limited long-term effectiveness and difficulty to achieve,and surgeries are invasive and also require a lifestyle modification and commitment.Glucagon-like peptide-1 receptor agonists(GLP-1RAs)were initially introduced as a rising star for managing T2DM,with patients benefiting from the control of blood sugar and weight loss.These medications work by enhancing feelings of fullness,slowing down digestion,and ultimately reducing calorie intake.However,GLP-1RAs are not without side effects and have some costs.Common side effects include gastrointestinal(GI)adverse events such as nausea,vomiting,diarrhea,and a lack of GI motility,which is the main mechanism through which the drug induces a feeling of fullness and promotes weight loss,potentially resulting in treatment discontinuation.More serious,though less frequent,risks include pancreatitis,gallbladder diseases,and,rarely,thyroid Ccell cancers.This review aimed to discuss the globally emerging role of GLP-1RAs in obesity management and highlight some safety considerations for patients taking these drugs.展开更多
Accurate prediction of drug-induced adverse drug reactions(ADRs)is crucial for drug safety evaluation,as it directly impacts public health and safety.While various models have shown promising results in predicting ADR...Accurate prediction of drug-induced adverse drug reactions(ADRs)is crucial for drug safety evaluation,as it directly impacts public health and safety.While various models have shown promising results in predicting ADRs,their accuracy still needs improvement.Additionally,many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints,which can introduce bias.To address these challenges,we propose ToxBERT,an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system(SMILES)representations.Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve(AUROC)scores of 0.839,0.759,and 0.664 for predicting drug-induced QT prolongation(DIQT),rhabdomyolysis,and liver injury,respectively,outperforming previous studies.Furthermore,ToxBERT can identify drug substructures that are closely associated with specific ADRs.These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.展开更多
BACKGROUND Aortic adverse remodeling remains a critical complication following thoracic endovascular aortic repair(TEVAR)for Stanford type B aortic dissection(TBAD),significantly impacting long-term survival.Accurate ...BACKGROUND Aortic adverse remodeling remains a critical complication following thoracic endovascular aortic repair(TEVAR)for Stanford type B aortic dissection(TBAD),significantly impacting long-term survival.Accurate risk prediction is essential for optimized clinical management.AIM To develop and validate a logistic regression-based risk prediction model for aortic adverse remodeling following TEVAR in patients with TBAD.METHODS This retrospective observational cohort study analyzed 140 TBAD patients undergoing TEVAR at a tertiary center(2019–2024).Based on European guidelines,patients were categorized into adverse remodeling(aortic growth rate>2.9 mm/year,n=45)and favorable remodeling groups(n=95).Comprehensive variables(clinical/imaging/surgical)were analyzed using multivariable logistic regression to develop a predictive model.Model performance was assessed via receiver operating characteristic-area under the curve(AUC)and Hosmer-Lemeshow tests.RESULTS Multivariable analysis identified several strong independent predictors of negative aortic remodeling.Larger false lumen diameter at the primary entry tear[odds ratio(OR):1.561,95%CI:1.197–2.035;P=0.001]and patency of the false lumen(OR:5.639,95%CI:4.372-8.181;P=0.004)were significant risk factors.False lumen involvement extending to the thoracoabdominal aorta was identified as the strongest predictor,significantly increasing the risk of adverse remodeling(OR:11.751,95%CI:9.841-15.612;P=0.001).Conversely,false lumen involvement confined to the thoracic aorta demonstrated a significant protective effect(OR:0.925,95%CI:0.614–0.831;P=0.015).The prediction model exhibited excellent discrimination(AUC=0.968)and calibration(Hosmer-Lemeshow P=0.824).CONCLUSION This validated risk prediction model identifies aortic adverse remodeling with high accuracy using routinely available clinical parameters.False lumen involvement thoracoabdominal aorta is the strongest predictor(11.751-fold increased risk).The tool enables preoperative risk stratification to guide tailored TEVAR strategies and improve long-term outcomes.展开更多
BACKGROUND Major adverse cardiovascular(CV)events(MACEs)are the primary cause of morbidity and mortality in kidney transplantation(KT)recipients.The risk for MACEs is impacted by an array of traditional and transplant...BACKGROUND Major adverse cardiovascular(CV)events(MACEs)are the primary cause of morbidity and mortality in kidney transplantation(KT)recipients.The risk for MACEs is impacted by an array of traditional and transplant-related non-traditional CV risk factors.AIM To investigate the association between potential CV risk factors related to KT and MACEs,and their potential modification by hyperuricemia(HU).METHODS The relationship between CV risk factors related to KT and MACEs was examined in a cohort of 545 patients who underwent transplantation between 2008 and 2019.The mean age of patients at KT was 55.0 years±14.2 years(range 15.0–89.0 years).Univariate and multivariate logistic regression models were constructed to identify risk factors influencing MACEs.To explore the potential effect modification by uric acid(UA),patients were categorized into groups based on UA levels:(1)Low(<356μmol/L);(2)Normal(356–416μmol/L);(3)High(416–475μmol/L);and(4)Very high(>475μmol/L).RESULTS MACEs occurred in 145 of 545(26.6%)KT recipients.The most prevalent comorbidities were hypertension(87%),dyslipidemia(78%),secondary hyperparathyroidism(68%),HU(63%)and anemia(33%).In the multivariate logistic regression model,the most significant factors associated with MACEs were previous CV events[odds ratio(OR)=70.6,95%CI:24.9–200.1],left ventricular hypertrophy(LVH)(OR=12.6,95%CI:2.7–58.3),HU treatment(OR=4.3,95%CI:2.4–7.6),and anemia(OR=5.3,95%CI:2.9–9.8).Effect modification by the presence of HU revealed that independent factors associated with MACEs were age(OR=1.03,95%CI:1.0–1.1),previous CV events(OR=41.7,95%CI:13.6–127.6),LVH(OR=15.3,95%CI:2.0–116.6),HU treatment(OR=2.5,95%CI:1.3–4.6)and anemia(OR=5.4,95%CI:2.8–10.5).Effect modification by UA levels dichotomized at 475μmol/L(very high level of UA)revealed that HU treatment was not associated with MACEs in groups with or without very high UA levels.CONCLUSION A very high level of UA was observed to act as an effect-modifying factor for MACEs,especially when combined with other risk factors such as age,previous CV events,LVH,and anemia.展开更多
BACKGROUND Depression is a common psychological disorder often associated with genetic,neurobiological,and psychosocial factors.This condition is characterized by low mood and decreased conscious activity and can lead...BACKGROUND Depression is a common psychological disorder often associated with genetic,neurobiological,and psychosocial factors.This condition is characterized by low mood and decreased conscious activity and can lead to severe consequences such as suicidal thoughts.Respiratory failure,a disorder of pulmonary ventilation and gas exchange,is frequently complicated by depression,aggravating the condition and creating complications in treatment.Patients with both conditions tend to exhibit poor compliance with medical advice,resulting in adverse outcomes such as sleep disorders,arrhythmias,and electrolyte imbalances.Therefore,effective nursing interventions are crucial for improving patient outcomes.While routine nursing care can provide basic support,dedicated nursing,which involves specialized and personalized care by highly trained professionals,may offer additional benefits.AIM To examine the effect of dedicated nursing intervention on medical advice compliance and adverse event incidence in patients with depression complicated by respiratory failure.METHODS A total of 160 patients with depression complicated by respiratory failure admitted to the Second Affiliated Hospital of Soochow University from January to December 2024 were randomly categorized into a control group(n=80)receiving routine nursing care and observation group(n=80)receiving routine nursing combined with dedicated nursing care.The establishment of a specialized nursing team;the development of a personalized nursing plan;and the implementation of comprehensive care strategies targeting emotional support,sleep improvement,pulmonary function enhancement,and adherence to medical advice were included in the dedicated nursing intervention.Emotional state[evaluated using the Self-Rating Depression Scale(SDS)],sleep quality[assessed using the Pittsburgh Sleep Quality Index(PSQI)],hope level[measured using the Herth Hope Scale(HHS)],pulmonary function[comprising forced vital capacity(FVC)and forced expiratory volume in the first second(FEV1)],exercise endurance[6-minute walk distance test(6MWD)],compliance with medical advice,and incidence of adverse events were compared between the two groups.RESULTS No significant differences were observed in SDS,PSQI,HHS,FVC,FEV1,6MWD,or compliance with medical advice between the two groups(P>0.05)before the intervention.However,after the intervention,the control group exhibited significantly lower SDS and PSQI scores;higher HHS scores;greater improvements in FVC,FEV1,and 6MWD;and higher compliance with medical advice compared with the control group(P<0.05).In addition,the incidence of adverse events was significantly lower in the control group(P<0.05).CONCLUSION Dedicated nursing intervention significantly improves emotional state,sleep quality,hope level,pulmonary function,exercise endurance,and compliance with medical advice while reducing adverse events in patients with depression complicated by respiratory failure.Therefore,dedicated nursing appears to be an effective approach to enhance patient outcomes in this population.展开更多
This letter addressed the impactful study by Zhong et al,which introduced a risk prediction and stratification model for surgical adverse events following minimally invasive esophagectomy.By identifying key risk facto...This letter addressed the impactful study by Zhong et al,which introduced a risk prediction and stratification model for surgical adverse events following minimally invasive esophagectomy.By identifying key risk factors such as chronic obstructive pulmonary disease and hypoalbuminemia,the model demonstrated strong predictive accuracy and offered a pathway to personalized perioperative care.This correspondence highlighted the clinical significance,emphasizing its potential to optimize patient outcomes through tailored inter-ventions.Further prospective validation and application across diverse settings are essential to realize its full potential in advancing esophageal surgery practices.展开更多
Atopic dermatitis(AD)is one of the most common chronic inflammatory skin diseases.It usually develops in childhood and may persist into adulthood.Dupilumab is a fully human monoclonal antibody directed against interle...Atopic dermatitis(AD)is one of the most common chronic inflammatory skin diseases.It usually develops in childhood and may persist into adulthood.Dupilumab is a fully human monoclonal antibody directed against interleukin-4R-alpha,the common chain of interleukin-4 and interleukin-13 receptors.Dupilumab showed clinical improvements in patients with atopic dermatitis,asthma,and chronic rhinosinusitis and is currently under development for other indications.However,there are many adverse effects reported after dupilumab therapy including local injection site reactions,conjunctivitis,headache,and nasopharyngitis.We report a new case of a 4-year-old child who experienced anaphylaxis after dupilumab injection.In addition to,we summary and disscuss the rare adverse reactions caused by dupilumab injection by searching the literature in pubmed.展开更多
Minimally invasive esophagectomy(MIE)has transformed esophageal surgery by reducing morbidity,accelerating recovery,and improving postoperative out-comes compared to traditional open esophagectomy.By utilizing techniq...Minimally invasive esophagectomy(MIE)has transformed esophageal surgery by reducing morbidity,accelerating recovery,and improving postoperative out-comes compared to traditional open esophagectomy.By utilizing techniques such as laparoscopic,thoracoscopic,and robotic-assisted approaches,MIE mini-mizes surgical trauma while maintaining oncological thoroughness.However,it also presents unique challenges,including risks of complications such as ana-stomotic leakage,pulmonary complications,and atrial fibrillation.Zhong et al developed and validated a risk stratification model for predicting surgical adverse events after MIE,enhancing preoperative assessment and patient management.This editorial further examines the advantages of MIE,its comparable oncological and long-term outcomes,as well as the incidence and contributing factors of post-operative complications.Emerging technologies,including machine learning models,intraoperative nerve monitoring,and robotic-assisted surgery,are high-lighted as innovative solutions for risk prediction and prevention.Strategies such as enhanced recovery after surgery protocols and multidisciplinary collaboration are emphasized for their critical roles in minimizing complications and optimizing patient outcomes.By addressing these aspects,this editorial provides guidance to surgical teams in maximizing the benefits of MIE while effectively managing its associated risks.展开更多
文摘Objective:Artemether is a semi-synthetic derivative of artemisinin and is widely used in the treatment of Plasmodium(P.)falciparum malaria.This study aimed to characterize the safety profile of artemether based on 15-year data retrived from FDA adverse event reporting system(FAERS).Methods:This is a retrospective analysis on 15-year data of artemether-related adverse effects(AEs)retrieved from the FAERS.AEs were classified according to System Organ Class(SOC)and Preferred Terms(PT).Signal detection was performed using Reporting Odds Ratios(ROR),Proportional Reporting Ratios(PRR),and Empirical Bayes Geometric Mean(EBGM).Stratified analyses examined the impact of demographic factors such as sex,age,and time-to-onset.Temporal patterns and associated risk factors were also investigated.Results:Haemolytic anaemia and haemolysis emerged as the most frequently reported AEs,exhibiting significantly elevated RORs(males:ROR 381.36,95%CI 247.06-588.60;females:ROR 455.11,95%CI 286.43-723.12).Sex-specific differences were evident,with females showing a higher incidence of reproductive-related AEs,including spontaneous abortion and premature labour.Temporal trend analysis revealed that the majority of AEs occurred within the first 30 days after the initiation of artemether administration,indicating a rapid onset.The most affected SOCs were blood and lymphatic system disorders and hepatobiliary disorders.Conclusions:Artemether is associated with a notable frequency of early-onset AEs,particularly hematological and hepatobiliary disorders.The observed sex-specific vulnerability to reproductive AEs highlights the need for sex-conscious clinical approaches.Enhanced post-treatment monitoring and further investigations into the drug’s pharmacokinetics and mechanistic pathways are recommended.
文摘Objective:To characterize placental morphologic features in Moroccan women with adverse outcomes,across different clinical contexts,based on the Amsterdam consensus classification.Methods:A prospective analysis was conducted on placentas with umbilical cords collected fresh between March 1,2024 and July 15,2024 from women with adverse pregnancy outcomes.Clinical data(age,parity,gravidity,complications)were retrieved.Macroscopic parameters(weight,dimensions,cord insertion,membranes,lesions)were assessed,followed by systematic sampling.Tissue was processed by standard histology(formalin fixation,paraffin embedding,hematoxylin and eosin staining),and lesions were classified per Amsterdam criteria.Results:16 placentas from patients with adverse pregnancy outcomes were included.The median maternal age was 30 years.Adverse conditions included placental abruption(50%),intrauterine growth restriction(IUGR,38%),intrauterine fetal death(IUFD,31%),pre-eclampsia/eclampsia(19%),premature rupture of membranes(13%),and oligohydramnios(13%).Several placentas were associated with more than one adverse condition.Histopathology revealed maternal vascular malperfusion lesions in 94%,particularly in pre-eclampsia,IUGR,and IUFD.Fetal vascular malperfusion was found in 88%,mainly in IUGR and IUFD.Inflammatory lesions,dominated by acute maternal and fetal responses stage 3(necrotizing chorioamnionitis and funisitis),were primarily linked to IUFD.Conclusions:Placental examination enhances understanding of the pathophysiology underlying adverse pregnancy outcomes,supports diagnostic confirmation,and guides preventive strategies for recurrence.This study highlights the prevalence of maternal vascular malperfusion in Moroccan women and emphasizes the importance of systematic placental histopathology in obstetric care.
基金the support from the National Natural Science Foundation of China(Nos.52279103,52379103)the Natural Science Foundation of Shandong Province(No.ZR2023YQ049)。
文摘Geological analysis,despite being a long-term method for identifying adverse geology in tunnels,has significant limitations due to its reliance on empirical analysis.The quantitative aspects of geochemical anomalies associated with adverse geology provide a novel strategy for addressing these limitations.However,statistical methods for identifying geochemical anomalies are insufficient for tunnel engineering.In contrast,data mining techniques such as machine learning have demonstrated greater efficacy when applied to geological data.Herein,a method for identifying adverse geology using machine learning of geochemical anomalies is proposed.The method was identified geochemical anomalies in tunnel that were not identified by statistical methods.We by employing robust factor analysis and self-organizing maps to reduce the dimensionality of geochemical data and extract the anomaly elements combination(AEC).Using the AEC sample data,we trained an isolation forest model to identify the multi-element anomalies,successfully.We analyzed the adverse geological features based the multi-element anomalies.This study,therefore,extends the traditional approach of geological analysis in tunnels and demonstrates that machine learning is an effective tool for intelligent geological analysis.Correspondingly,the research offers new insights regarding the adverse geology and the prevention of hazards during the construction of tunnels and underground engineering projects.
基金Supported by Joint Funds for the Innovation of Science and Technology,Fujian Province,No.2023Y9187 and No.2021Y9057.
文摘BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery and long-term survival.Accurate preoperative identification of high-risk patients is critical for improving outcomes.AIM To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with MIE.METHODS This retrospective study included 747 patients who underwent MIE at two centers from January 2019 to February 2024.Patients were separated into a train set(n=549)and a validation set(n=198).After screening by least absolute shrinkage and selection operator regression,multivariate logistic regression analyzed clinical and intraoperative variables to identify independent risk factors for SAEs.A risk stratification model was constructed and validated to predict the probability of SAEs.RESULTS SAEs occurred in 10.2%of patients in train set and 13.6%in the validation set.Patients with SAE had significantly higher complication rate and a longer hospital stay after surgery.The key independent risk factors identified included chronic obstructive pulmonary disease,a history of alcohol consumption,low forced expiratory volume in the first second,and low albumin levels.The stratification model has excellent prediction accuracy,with an area under the curve of 0.889 for the training set and an area under the curve of 0.793 for the validation set.CONCLUSION The developed risk stratification model effectively predicts the risk of SAEs in patients undergoing MIE,facilitating targeted preoperative interventions and improving perioperative management.
文摘Treatment with immune checkpoint inhibitors(ICIs)is an innovative therapy for managing certain types of malignancy and has the potential to improve overall patient survival significantly.The most widely used ICIs selectively target different receptors comprising programmed cell death-1 receptor,programmed cell death-ligand 1 receptor,and cytotoxic T lymphocyte antigen 4 receptor.The widespread utilization of ICIs over the past several years,however,is frequently accompanied by immune-related adverse events(irAEs)that substantially impact the patient’s quality of life,particularly those affecting the digestive system,including both the upper and lower gastrointestinal tract.Based on a literature search covering databases such as PubMed,Web of Science,Embase,and the Cochrane Library,we present an insight into primary gastrointestinal irAEs,with a special focus on endoscopic manifestations.Additionally,we analyze data regarding the pathogenetic mechanisms,diagnostic approaches,histological characteristics,and proposed therapeutic interventions for managing irAEs involving the gastrointestinal tract.
文摘Objective:Despite established associations between certain medications and urticaria,the risk profiles of most pharmaceutical agents remain poorly characterized.This investigation aimed to identify risk factors for medication-induced urticaria through comprehensive analysis of the FDA Adverse Event Reporting System(FAERS)database.Methods:We employed reporting odds ratios(ROR)to evaluate drug-urticaria associations using FAERS data spanning from Q12004 to Q32024.Analytical approaches included univariate screening,LASSO regression,and multivariate logistic regression to identify potential risk factors.Multiple comparison adjustments were implemented using the Bonferroni method.Results:The study identified 1807 pharmaceutical agents potentially associated with urticaria development.Univariate analysis categorized these agents into several therapeutic classes:antimicrobials(19/85),biologics(16/85),analgesics(8/85),dermatologicals(3/85),anti-rheumatic agents(4/85),hormonal preparations(3/85),antihypertensives(2/85),neuropsychiatric medications(2/85),uric acid-lowering drugs(2/85),multiple sclerosis therapies(2/85),and miscellaneous agents(17/85).Multivariate analysis identified three significant risk determinants:middle-aged individuals(36-53 years),female gender,and exposure to any of 82 specific medications.Conclusion:These evidence-based findings provide valuable insights for early clinical recognition of drug-induced urticaria and establish a foundation for subsequent mechanistic investigations into medication-related hypersensitivity reactions.
文摘BACKGROUND In randomized controlled trials(RCTs),the placebo arm has often been ignored as the attention tends to be focused on the treatment arm.We undertook a meta-analysis based on the data from the placebo arm in RCTs of hepatocellular carci-noma(HCC),the response rates and survival status,and adverse events(AEs)were summarized and evaluated.AIM To systematically evaluate the response rates,survival status and AEs in the placebo arms of RCTs for HCC.METHODS A systematic search was performed on PubMed,Ovid MEDLINE,Embase and Cochrane Library to identify relevant trials evaluating the efficacy of drugs for the treatment of HCC,published until December 31,2023.Statistical analysis was performed using R statistical software(version 4.3.2).RESULTS A total of 18 RCTs,involving 2390 patients,met the criteria for inclusion in the meta-analysis.The pooled overall disease control rate and objective response rate in the placebo group were 38%[95%confidence interval(CI):33%-42%]and 1%(95%CI:1%-2%),respectively.Overall survival and progression-free survival in the placebo group were 7.9 months(95%CI:7.6-8.31 months)and 1.9 months(95%CI:1.6-2.1 months),respectively.The incidence of grade 3 or 4 AEs was 37%(95%CI:30%-43%).Additionally,the incidence of interruptions or dose reductions due to AEs was 20%(95%CI:13%-27%),while the incidence of treatment discontinuation due to AEs was 9%(95%CI:6%-12%).CONCLUSION Over one-third of advanced HCC patients exhibit therapy-free disease control,with placebo-arm AEs observed.These findings guide single-arm trials design and enhance patient acceptance of anticancer therapies.
文摘BACKGROUND Intra-arterial chemotherapy(IAC)has become a first-line standard treatment for retinoblastoma(RB).However,studies describing its adverse events are sparse,especially from the developing world.Our study described the outcomes and adverse events from a single center in South India.AIM To describe the challenges,treatment outcomes,and complications of selective IAC for RB in Indian eyes.METHODS This study was a single center,retrospective study that included 17 patients with RB who underwent IAC using melphalan(5/7.5 mg)and topotecan(1/2 mg)(n=12)or melphalan(5 mg)alone(n=3)or triple therapy that included carboplatin(30 mg)along with these drugs(n=2)between January 2018 and December 2023.In all,17 IAC procedures were performed using selective ophthalmic artery cannulation.Treatment outcomes were evaluated in terms of tumor control,vitreous and subretinal seed control,complications,and globe salvage rates.RESULTS Out of the 17 patients,11 were diagnosed with unilateral RB and 6 were diag-nosed with bilateral RB.The mean age at the time of diagnosis was 19.8 months.The mean interval between the first symptom and presentation was 6.5 months.IAC was employed as the primary(n=9)or secondary(n=8)modality of treatment.Each eye received a mean of 1.5 IAC sessions(median:1 session;range:1-3 sessions).Eyes were classified according to the international classification of RB as group B(n=5),group C(n=1),group D(n=4),and group E(n=7).Following IAC,complete regression of the main tumor was seen in 15 eyes(88%)and partial regression in 2 eyes(12%).Globe salvage was achieved in 15 eyes(88%).Adverse effects included vitreous hemorrhage(n=3),rhegmatogenous retinal de-tachment(n=2),choroidal ischemia(n=1),isolated subretinal hemorrhage(n=2),retinal pigment epithelium degeneration(n=2),forehead pigmentation(n=1),third nerve palsy with complete ptosis(n=1),and 30-degree exotropia(n=1).The mean follow-up period was 28.6 months(median:24 months,range:1–72 months).CONCLUSION IAC is an effective way to control RB and globe preservation.In the Indian context we encountered many cha-llenges highlighting the importance of case selection.Further studies in India are required to thoroughly un-derstand IAC as a treatment for RB.
基金supported by the National Natural Science Foundation of China(No.92252201)。
文摘To address the early separation problem in the Menter Shear-Stress Transport(SST)turbulence model,a correction for the Turbulent Kinetic Energy(TKE)production term,P_(k),is introduced to account for the effect of the Adverse Pressure Gradient(APG).The correction is determined based on the distribution of Pkin the APG region before separation.When the friction coefficient C_(f) is decomposed,its direct dependence on Pkis clearly observed.However,with the introduction of Bradshaw’s assumption,Pkin the SST turbulence model is over-suppressed,resulting in a lower inner peak or no significant inner peak distribution at all.To address this problem,this paper proposes a Gaussian function,HGauss,which corrects the numerical values of P_(k) involved in the calculation of the Menter SST model by focusing on the inner peak region of P_(k).The modified SST model is then applied to four cases with APGs.The modification leads to an increase in the wall friction coefficient C_(f)in the APG region and causes a downstream shift in the separation location,improving the model’s consistency with high-accuracy data and experimental results.It is demonstrated that this correction can improve the early separation problem in the Menter SST turbulence model.
文摘Background: Exposure to adverse childhood experiences (ACEs) is associated with a higher likelihood of developing psychological disorders among adolescents. The current study aimed to analyze the effect of independent and cumulative effects of ACEs exposure on the likelihood of Posttraumatic Stress Disorder (PTSD) and a Complex PTSD (CPSTD) diagnosis in Indian adolescents. Methods: A sample of 411 schoolchildren participated in the study. It was collected data on exposure to ACEs, PTSD, CPTSD, and attachment styles. Results: It was found that exposure to bullying and threats of violence was significantly associated with PTSD and CPTSD diagnosis, and exposure to physical violence and serious illness was associated with CPTSD diagnosis. Exposure to one ACE and exposure to 2 - 3 ACEs were associated with PTSD and CPTSD diagnosis, while exposure to 4 - 5 ACEs was associated with CPTSD diagnosis. Preoccupied and fearful attachment styles were significantly associated with PTSD and CPTSD diagnosis. Conclusion: The results of the study suggest that biological, psychological, and social factors interact and contribute to the differential prevalence of ACE, attachment styles, and PTSD/CPTSD. This study emphasizes the need of addressing childhood trauma as a public health priority in India.
文摘This study sought to investigate adverse drug event(ADE)signals associated with eltrombopag use in pediatric patients aged 0–18 years,utilizing data from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS).By analyzing this extensive pharmacovigilance database,the study aimed to offer meaningful insights for improving the clinical safety of eltrombopag in children.Data covering eltrombopag-related ADEs from Q12004 to Q42023 were extracted from FAERS,and signal detection was conducted using both the reporting odds ratio(ROR)and proportional reporting ratio(PRR)methods.ADEs were categorized based on the System Organ Class(SOC)classification in MedDRA version 25.0.A total of 582 reports involving pediatric patients receiving eltrombopag were identified,encompassing 21 SOC categories.The analysis revealed that,in addition to the known ADEs listed in the drug label,clinicians should remain vigilant for potential off-label ADE signals.These included abnormal platelet counts,thrombocytosis,antiphospholipid syndrome,myelofibrosis,reduced serum iron levels,myelodysplastic syndrome,hepatic infections,and other related conditions.Given these findings,it is strongly recommended that serum iron and ferritin levels should be routinely monitored in pediatric patients undergoing eltrombopag therapy,particularly during long-term treatment.Such proactive surveillance may help prevent the onset of iron deficiency anemia and enhance overall treatment safety.
基金Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund Project(2025AFD278)Three Gorges University Scientific Fund Project(2022kj008)Three Gorges University Special Scientific Fund Project(2023kjzx001)。
文摘Objective:To utilize the VigiAccess database for data mining to analyze the characteristics of adverse reactions induced by mirogabalin,providing critical information for clinical medication use.Method:This study analyzed data from the VigiAccess database,filtering out adverse reaction reports where mirogabalin was identified as the Primary Suspect Drug(PS).Reporting Odds Ratio(ROR),Proportional Reporting Ratio(PRR),Bayesian Confidence Propagation Neural Network(BCPNN),and Empirical Bayes Geometric Mean(EBGM)methods were employed as data mining algorithms for pharmacovigilance and adverse event monitoring.These methods identify potential drug-adverse event association signals by analyzing the relationship between drug use and adverse event reporting.ROR and PRR focus on calculating reporting ratios,while BCPNN and EBGM use neural networks and empirical Bayes models,respectively,to enhance the accuracy and reliability of signal detection.Results:A total of 734 adverse reaction reports associated with mirogabalin were obtained.The results showed that females reported the highest number of adverse reactions,accounting for 59.67%,while males accounted for 38.83%.In terms of age distribution,the highest number of reports came from individuals over 75 years old,accounting for 33.79%.Adverse reactions mainly involved the nervous system(33.45%),general diseases and reactions at the site of administration(11.62%),and gastrointestinal disorders(10.74%).The most common adverse reactions included dizziness(11.62%),somnolence(8.27%),renal dysfunction(2.90%),and edema(2.82%).Signal intensity analysis revealed that certain adverse reactions(such as renal dysfunction,rhabdomyolysis,and drug-induced liver injury)had significant signal strength,suggesting a strong association with mirogabalin.Conclusion:This study,through signal mining of the VigiAccess database,reveals the characteristics of mirogabalin’s adverse reactions in the real world,particularly in the nervous system and renal function.These findings provide important reference information for clinicians,aiding in the optimization of the safe use of mirogabalin.Future research should further validate the causal relationships of these signals and explore individualized treatment strategies to reduce the incidence of adverse reactions and improve patient outcomes.
文摘Obesity is a global pandemic that has been threatening the worldwide population.It has been reported to be associated with an increase in the risk of chronic diseases such as type 2 diabetes mellitus(T2DM),cardiovascular disease,and other diseases,including some malignancies.Currently,the first line of management includes lifestyle modifications.However,recently,bariatric surgeries were introduced to combat obesity.The previous modalities of management are always challenging since lifestyle could have limited long-term effectiveness and difficulty to achieve,and surgeries are invasive and also require a lifestyle modification and commitment.Glucagon-like peptide-1 receptor agonists(GLP-1RAs)were initially introduced as a rising star for managing T2DM,with patients benefiting from the control of blood sugar and weight loss.These medications work by enhancing feelings of fullness,slowing down digestion,and ultimately reducing calorie intake.However,GLP-1RAs are not without side effects and have some costs.Common side effects include gastrointestinal(GI)adverse events such as nausea,vomiting,diarrhea,and a lack of GI motility,which is the main mechanism through which the drug induces a feeling of fullness and promotes weight loss,potentially resulting in treatment discontinuation.More serious,though less frequent,risks include pancreatitis,gallbladder diseases,and,rarely,thyroid Ccell cancers.This review aimed to discuss the globally emerging role of GLP-1RAs in obesity management and highlight some safety considerations for patients taking these drugs.
基金supported by the National Natural Science Foundation of China(Grant Nos.:22173065 and 21575094).
文摘Accurate prediction of drug-induced adverse drug reactions(ADRs)is crucial for drug safety evaluation,as it directly impacts public health and safety.While various models have shown promising results in predicting ADRs,their accuracy still needs improvement.Additionally,many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints,which can introduce bias.To address these challenges,we propose ToxBERT,an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system(SMILES)representations.Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve(AUROC)scores of 0.839,0.759,and 0.664 for predicting drug-induced QT prolongation(DIQT),rhabdomyolysis,and liver injury,respectively,outperforming previous studies.Furthermore,ToxBERT can identify drug substructures that are closely associated with specific ADRs.These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.
基金Supported by Zhangjiajie"Xiao He(Young Talent)"Project,No.2024XHRC03Jishou University School-Level Research Project.
文摘BACKGROUND Aortic adverse remodeling remains a critical complication following thoracic endovascular aortic repair(TEVAR)for Stanford type B aortic dissection(TBAD),significantly impacting long-term survival.Accurate risk prediction is essential for optimized clinical management.AIM To develop and validate a logistic regression-based risk prediction model for aortic adverse remodeling following TEVAR in patients with TBAD.METHODS This retrospective observational cohort study analyzed 140 TBAD patients undergoing TEVAR at a tertiary center(2019–2024).Based on European guidelines,patients were categorized into adverse remodeling(aortic growth rate>2.9 mm/year,n=45)and favorable remodeling groups(n=95).Comprehensive variables(clinical/imaging/surgical)were analyzed using multivariable logistic regression to develop a predictive model.Model performance was assessed via receiver operating characteristic-area under the curve(AUC)and Hosmer-Lemeshow tests.RESULTS Multivariable analysis identified several strong independent predictors of negative aortic remodeling.Larger false lumen diameter at the primary entry tear[odds ratio(OR):1.561,95%CI:1.197–2.035;P=0.001]and patency of the false lumen(OR:5.639,95%CI:4.372-8.181;P=0.004)were significant risk factors.False lumen involvement extending to the thoracoabdominal aorta was identified as the strongest predictor,significantly increasing the risk of adverse remodeling(OR:11.751,95%CI:9.841-15.612;P=0.001).Conversely,false lumen involvement confined to the thoracic aorta demonstrated a significant protective effect(OR:0.925,95%CI:0.614–0.831;P=0.015).The prediction model exhibited excellent discrimination(AUC=0.968)and calibration(Hosmer-Lemeshow P=0.824).CONCLUSION This validated risk prediction model identifies aortic adverse remodeling with high accuracy using routinely available clinical parameters.False lumen involvement thoracoabdominal aorta is the strongest predictor(11.751-fold increased risk).The tool enables preoperative risk stratification to guide tailored TEVAR strategies and improve long-term outcomes.
文摘BACKGROUND Major adverse cardiovascular(CV)events(MACEs)are the primary cause of morbidity and mortality in kidney transplantation(KT)recipients.The risk for MACEs is impacted by an array of traditional and transplant-related non-traditional CV risk factors.AIM To investigate the association between potential CV risk factors related to KT and MACEs,and their potential modification by hyperuricemia(HU).METHODS The relationship between CV risk factors related to KT and MACEs was examined in a cohort of 545 patients who underwent transplantation between 2008 and 2019.The mean age of patients at KT was 55.0 years±14.2 years(range 15.0–89.0 years).Univariate and multivariate logistic regression models were constructed to identify risk factors influencing MACEs.To explore the potential effect modification by uric acid(UA),patients were categorized into groups based on UA levels:(1)Low(<356μmol/L);(2)Normal(356–416μmol/L);(3)High(416–475μmol/L);and(4)Very high(>475μmol/L).RESULTS MACEs occurred in 145 of 545(26.6%)KT recipients.The most prevalent comorbidities were hypertension(87%),dyslipidemia(78%),secondary hyperparathyroidism(68%),HU(63%)and anemia(33%).In the multivariate logistic regression model,the most significant factors associated with MACEs were previous CV events[odds ratio(OR)=70.6,95%CI:24.9–200.1],left ventricular hypertrophy(LVH)(OR=12.6,95%CI:2.7–58.3),HU treatment(OR=4.3,95%CI:2.4–7.6),and anemia(OR=5.3,95%CI:2.9–9.8).Effect modification by the presence of HU revealed that independent factors associated with MACEs were age(OR=1.03,95%CI:1.0–1.1),previous CV events(OR=41.7,95%CI:13.6–127.6),LVH(OR=15.3,95%CI:2.0–116.6),HU treatment(OR=2.5,95%CI:1.3–4.6)and anemia(OR=5.4,95%CI:2.8–10.5).Effect modification by UA levels dichotomized at 475μmol/L(very high level of UA)revealed that HU treatment was not associated with MACEs in groups with or without very high UA levels.CONCLUSION A very high level of UA was observed to act as an effect-modifying factor for MACEs,especially when combined with other risk factors such as age,previous CV events,LVH,and anemia.
基金Supported by the Second Nursing Research Project of the Humanities Nursing Professional Committee,No.RW2024PY03the Open Project of Suzhou Key Laboratory of Elderly Smart Nursing and Health Care in 2024.
文摘BACKGROUND Depression is a common psychological disorder often associated with genetic,neurobiological,and psychosocial factors.This condition is characterized by low mood and decreased conscious activity and can lead to severe consequences such as suicidal thoughts.Respiratory failure,a disorder of pulmonary ventilation and gas exchange,is frequently complicated by depression,aggravating the condition and creating complications in treatment.Patients with both conditions tend to exhibit poor compliance with medical advice,resulting in adverse outcomes such as sleep disorders,arrhythmias,and electrolyte imbalances.Therefore,effective nursing interventions are crucial for improving patient outcomes.While routine nursing care can provide basic support,dedicated nursing,which involves specialized and personalized care by highly trained professionals,may offer additional benefits.AIM To examine the effect of dedicated nursing intervention on medical advice compliance and adverse event incidence in patients with depression complicated by respiratory failure.METHODS A total of 160 patients with depression complicated by respiratory failure admitted to the Second Affiliated Hospital of Soochow University from January to December 2024 were randomly categorized into a control group(n=80)receiving routine nursing care and observation group(n=80)receiving routine nursing combined with dedicated nursing care.The establishment of a specialized nursing team;the development of a personalized nursing plan;and the implementation of comprehensive care strategies targeting emotional support,sleep improvement,pulmonary function enhancement,and adherence to medical advice were included in the dedicated nursing intervention.Emotional state[evaluated using the Self-Rating Depression Scale(SDS)],sleep quality[assessed using the Pittsburgh Sleep Quality Index(PSQI)],hope level[measured using the Herth Hope Scale(HHS)],pulmonary function[comprising forced vital capacity(FVC)and forced expiratory volume in the first second(FEV1)],exercise endurance[6-minute walk distance test(6MWD)],compliance with medical advice,and incidence of adverse events were compared between the two groups.RESULTS No significant differences were observed in SDS,PSQI,HHS,FVC,FEV1,6MWD,or compliance with medical advice between the two groups(P>0.05)before the intervention.However,after the intervention,the control group exhibited significantly lower SDS and PSQI scores;higher HHS scores;greater improvements in FVC,FEV1,and 6MWD;and higher compliance with medical advice compared with the control group(P<0.05).In addition,the incidence of adverse events was significantly lower in the control group(P<0.05).CONCLUSION Dedicated nursing intervention significantly improves emotional state,sleep quality,hope level,pulmonary function,exercise endurance,and compliance with medical advice while reducing adverse events in patients with depression complicated by respiratory failure.Therefore,dedicated nursing appears to be an effective approach to enhance patient outcomes in this population.
文摘This letter addressed the impactful study by Zhong et al,which introduced a risk prediction and stratification model for surgical adverse events following minimally invasive esophagectomy.By identifying key risk factors such as chronic obstructive pulmonary disease and hypoalbuminemia,the model demonstrated strong predictive accuracy and offered a pathway to personalized perioperative care.This correspondence highlighted the clinical significance,emphasizing its potential to optimize patient outcomes through tailored inter-ventions.Further prospective validation and application across diverse settings are essential to realize its full potential in advancing esophageal surgery practices.
基金supported by Clinical Research Operating Fund of Central High Level Hospitals(2022-PUMCH-B-088).
文摘Atopic dermatitis(AD)is one of the most common chronic inflammatory skin diseases.It usually develops in childhood and may persist into adulthood.Dupilumab is a fully human monoclonal antibody directed against interleukin-4R-alpha,the common chain of interleukin-4 and interleukin-13 receptors.Dupilumab showed clinical improvements in patients with atopic dermatitis,asthma,and chronic rhinosinusitis and is currently under development for other indications.However,there are many adverse effects reported after dupilumab therapy including local injection site reactions,conjunctivitis,headache,and nasopharyngitis.We report a new case of a 4-year-old child who experienced anaphylaxis after dupilumab injection.In addition to,we summary and disscuss the rare adverse reactions caused by dupilumab injection by searching the literature in pubmed.
文摘Minimally invasive esophagectomy(MIE)has transformed esophageal surgery by reducing morbidity,accelerating recovery,and improving postoperative out-comes compared to traditional open esophagectomy.By utilizing techniques such as laparoscopic,thoracoscopic,and robotic-assisted approaches,MIE mini-mizes surgical trauma while maintaining oncological thoroughness.However,it also presents unique challenges,including risks of complications such as ana-stomotic leakage,pulmonary complications,and atrial fibrillation.Zhong et al developed and validated a risk stratification model for predicting surgical adverse events after MIE,enhancing preoperative assessment and patient management.This editorial further examines the advantages of MIE,its comparable oncological and long-term outcomes,as well as the incidence and contributing factors of post-operative complications.Emerging technologies,including machine learning models,intraoperative nerve monitoring,and robotic-assisted surgery,are high-lighted as innovative solutions for risk prediction and prevention.Strategies such as enhanced recovery after surgery protocols and multidisciplinary collaboration are emphasized for their critical roles in minimizing complications and optimizing patient outcomes.By addressing these aspects,this editorial provides guidance to surgical teams in maximizing the benefits of MIE while effectively managing its associated risks.
