BACKGROUND Retrograde intrarenal surgery(RIRS)has been proven to be a safe and effective treatment modality in large-scale quantitative studies.However,although its safety profile has been established,it also has a po...BACKGROUND Retrograde intrarenal surgery(RIRS)has been proven to be a safe and effective treatment modality in large-scale quantitative studies.However,although its safety profile has been established,it also has a potential risk of life-threatening complications.We here describe our experience with a patient who developed a huge periureteral hematoma after RIRS with holmium laser lithotripsy.CASE SUMMARY A 73-year-old woman visited our center with a complaint of gross hematuria.An enhanced computed tomography(CT)scan revealed a 1.5-cm left renal pelvis stone with hydronephrosis.The patient underwent RIRS.During the surgery,a 12/14-Fr ureteral access sheath was applied and a 6-Fr ureteral catheter was indwelled thereafter.On postoperative day 1,she experienced aggravated left flank pain and left lower-quadrant tenderness without rebound tenderness.A follow-up CT scan was taken,which revealed a huge hematoma in the periureteral space,not in the perirenal space,with suspicious contrast medium extravasation.Immediate angiography was performed;however,it showed no evidence of active bleeding.She was conservatively managed with hydration and antibiotic and nonsteroidal anti-inflammatory drug therapy,and was discharged on postoperative day 7.However,she visited our outpatient department with recurrent left flank pain at 5 d from discharge.Ultrasonography confirmed that the double J-stent was intact.To rule out stent malfunction,the stent was changed.Decreased size of the hematoma was observed in the imaging studies,and conservative management for candiduria was performed for 1 wk.CONCLUSION Although RIRS is an effective and safe procedure for the management of renal stones,clinicians should be aware of its potential complications.展开更多
BACKGROUND Acute appendicitis(AAp)is a prevalent medical condition characterized by inflammation of the appendix that frequently necessitates urgent surgical procedures.Approximately two-thirds of patients with AAp ex...BACKGROUND Acute appendicitis(AAp)is a prevalent medical condition characterized by inflammation of the appendix that frequently necessitates urgent surgical procedures.Approximately two-thirds of patients with AAp exhibit characteristic signs and symptoms;hence,negative AAp and complicated AAp are the primary concerns in research on AAp.In other terms,further investigations and algorithms are required for at least one third of patients to predict the clinical condition and distinguish them from uncomplicated patients with AAp.AIM To use a Stochastic Gradient Boosting(SGB)-based machine learning(ML)algorithm to tell the difference between AAp patients who are complicated and those who are not,and to find some important biomarkers for both types of AAp by using modeling to get variable importance values.METHODS This study analyzed an open access data set containing 140 people,including 41 healthy controls,65 individuals with uncomplicated AAp,and 34 individuals with complicated AAp.We analyzed some demographic data(age,sex)of the patients and the following biochemical blood parameters:White blood cell(WBC)count,neutrophils,lymphocytes,monocytes,platelet count,neutrophil-tolymphocyte ratio,lymphocyte-to-monocyte ratio,mean platelet volume,neutrophil-to-immature granulocyte ratio,ferritin,total bilirubin,immature granulocyte count,immature granulocyte percent,and neutrophil-to-immature granulocyte ratio.We tested the SGB model using n-fold cross-validation.It was implemented with an 80-20 training-test split.We used variable importance values to identify the variables that were most effective on the target.RESULTS The SGB model demonstrated excellent performance in distinguishing AAp from control patients with an accuracy of 96.3%,a micro aera under the curve(AUC)of 94.7%,a sensitivity of 94.7%,and a specificity of 100%.In distinguishing complicated AAp patients from uncomplicated ones,the model achieved an accuracy of 78.9%,a micro AUC of 79%,a sensitivity of 83.3%,and a specificity of 76.9%.The most useful biomarkers for confirming the AA diagnosis were WBC(100%),neutrophils(95.14%),and the lymphocyte-monocyte ratio(76.05%).On the other hand,the most useful biomarkers for accurate diagnosis of complicated AAp were total bilirubin(100%),WBC(96.90%),and the neutrophil-immature granulocytes ratio(64.05%).CONCLUSION The SGB model achieved high accuracy rates in identifying AAp patients while it showed moderate performance in distinguishing complicated AAp patients from uncomplicated AAp patients.Although the model's accuracy in the classification of complicated AAp is moderate,the high variable importance obtained is clinically significant.We need further prospective validation studies,but the integration of such ML algorithms into clinical practice may improve diagnostic processes.展开更多
Introduction: Diabetes mellitus, a metabolic disease, is now an important public health problem across the world. Our aim was to study the epidemiological, clinical, paraclinical, and evolutionary aspects of acute met...Introduction: Diabetes mellitus, a metabolic disease, is now an important public health problem across the world. Our aim was to study the epidemiological, clinical, paraclinical, and evolutionary aspects of acute metabolic complications (AMC) of diabetes in the endocrinology department of the Oueme-Plateau Provincial Teaching Hospital. Methods: This was a descriptive cross-sectional study with data collection based on the medical records of patients presenting with acute metabolic complications of diabetes in the endocrinology department of the Oueme-Plateau Provincial Teaching Hospital during the 3 years study period (from January 2020 to December 2022). Results: Over 788 patients hospitalized during the study period, 157 had an acute metabolic complication of diabetes, which is a hospital prevalence of 19.9%. Among these 157 cases, 140 were suitable for analysis and therefore constituted our study sample. The mean age of the patients was 49.9 ± 14.7 years, with 19 as minimum and 90 years as maximum. Most of them were women (52.4%). Hypertensive diabetics accounted for 54.9% of cases. Ketoacidosis was the most common complication (62.1%), followed by hyperosmolar hyperglycemic syndrome (23.6%) and hypoglycemia (14.3%). Infection (69.3%) and therapeutic noncompliance (22.9%) were the most common triggers. The average length period of their hospital stay was 7.1 ± 5.1 days, and the outcome was satisfactory in 87.9% of the cases. Unfortunately, there were 3.6% deaths during hospitalization. Conclusion: Acute metabolic complications of diabetes were dominated by ketoacidosis. Infection was the dominant factor in decompensation. Therapeutic education of diabetic patients as well as clinical and biological monitoring must be more stringent and rigorous.展开更多
BACKGROUND Acute myocardial infarction(AMI)combined with ventricular septal perforation(VSR)is still a highly fatal condition in the era of reperfusion therapy.The incidence rate has decreased to 0.2%-0.4%due to the p...BACKGROUND Acute myocardial infarction(AMI)combined with ventricular septal perforation(VSR)is still a highly fatal condition in the era of reperfusion therapy.The incidence rate has decreased to 0.2%-0.4%due to the popularization of percutaneous coronary intervention.However,the risk is significantly increased for those who fail to undergo revascularization in time,and the mortality rate remains high.The current core contradiction in clinical practice lies in the selection of surgical timing,and the disparity in medical resources significantly affects prognosis.There is an urgent need to optimize the identification of high-risk populations and individualized treatment strategies.AIM To investigate the clinical features,determine the prognostic factors,and develop a predictive model for 30-day mortality in patients with acute myocardial infarction complicated by ventricular septal rupture(AMI-VSR)residing in high-altitude regions.METHODS This study retrospectively analyzed 48 AMI-VSR patients admitted to a Yunnan hospital from 2017 to 2024,with the establishment of survival(n=30)and mortality(n=18)groups based on patients’survival status.Risk factors were identified by univariate and multivariate logistic regression analyses.A nomogram model was developed using R software and validated via receiver operating characteristic(ROC)analysis and calibration curves.RESULTS Age,uric acid(UA),interleukin-6(IL-6),and low hemoglobin(Hb)were independent risk factors for 30-day mortality(odds ratios:1.147,1.006,1.034,and 0.941,respectively;P<0.05).The nomogram demonstrated excellent discrimination(area under the ROC curve=0.939)and calibration(Hosmer-Lemeshowχ²=2.268,P=0.971).In addition,patients’poor outcomes could be synergistically predicted by IL-6 and UA,advanced age,and reduced Hb.CONCLUSION This study highlights age,UA,IL-6,and Hb as critical predictors of mortality in AMI-VSR patients at high altitudes.The validated nomogram provides a practical tool for early risk stratification and tailored interventions,addressing gaps in managing this high-risk population in resource-limited settings.展开更多
Objectives To observe the efficacy and safety of recombinant human brain natriuretic peptide(rh-BNP)on patients with acute myocardial infarction complicating congestive heart failure.Methods 40 patients with acute myo...Objectives To observe the efficacy and safety of recombinant human brain natriuretic peptide(rh-BNP)on patients with acute myocardial infarction complicating congestive heart failure.Methods 40 patients with acute myocardial infarction complicated by congestive heart failure were randomly divided into control group and treatment group of 20 cases.The control group,15 cases of acute anterior myocardial infarction,5 cases of acute inferior wall myocardial infarction,15 males and 5 females,aged 55-70 years,mean age 58±12 years;treated 16 cases of acute anterior myocardial infarction,4 cases of acute myocardial infarction,16 males and 4 females,aged 56-70 years,mean age 59±11 years;two groups of age,gender,severity of disease and vascular lesions no significant difference and comparable(P】0.05).Conventional group were given aspirin,clopidogrel,statins,Inotropic,diuretic and vasodilator therapy.In the con-ventional treatment group based on the use of recombinant human brain natriuretic peptide(new bios,Xizang Pharmaceutical Co.,Ltd.Chengdu Nuodikang biopharmaceutical production,usage:1.5μg/Kg intravenous injection(impact),then 0.0075μg-0.01μg/(kg·min)infusion rate).Continuous medication 72 h.The clinical symptoms observed for 3 days in patients before treatment and after treatment,heart rate,blood pressure and left ventricular ejection fraction(LVEF)and tumor necrosis factor(TNF-α),brain natriuretic peptide(BNP)levels were measured.Results In control group,8 cases markedly effect,5 cases effect and 7 cases no effect,the total effective rate was 65%;In treatment group,13 cases markedly effect,6 cases effect and 1 cases no effect,the total effective rate was 95%,compared with two groups P New bios treatment group significantly increased cardiac index(CI)in patients with heart failure and left ventricular ejection fraction(LVEF)than the control group(all P【0.05),further reduce the levels of tumor necrosis(TNF-α)and brain natriuretic peptide(BNP).Conclusions rh-BNP can improve symptoms and heart function,reduced plasma tumor necrosis factor(TNF-α)and BNP levels of acute myocardial infarction patients with congestive heart failure,the treatment safe and reliable.As small sample size observed,larger sample to be accumulated to further evaluate its efficacy and safety.展开更多
BACKGROUND Although antibiotic therapy has become the primary treatment for acute unco-mplicated appendicitis,the management of acute complicated appendicitis nece-ssitates careful consideration of various treatment o...BACKGROUND Although antibiotic therapy has become the primary treatment for acute unco-mplicated appendicitis,the management of acute complicated appendicitis nece-ssitates careful consideration of various treatment options.AIM To analyze the clinical data of patients who underwent emergency appendectomy for acute complicated appendicitis with peri-appendiceal abscess or phlegmon,identify factors influencing the postoperative length of hospital stay(LOS),and improve treatment strategies.METHODS The clinical data of acute complicated appendicitis patients with peri-appendiceal abscess or phlegmon who underwent emergency appendectomy at The Depart-ment of Emergency Surgery,Zhongshan Hospital,Fudan University from January 2016 to March 2023 were retrospectively analyzed.RESULTS A total of 234 patients were included in our study.The duration of symptoms and the presence of an appendicolith were significantly correlated with the occurrence of peri-appendiceal abscess in patients with acute complicated appendicitis(P<0.001 and P=0.015,respectively).Patients with symptoms lasting longer than 72 h had a significantly longer postoperative LOS compared to those with symptoms lasting 72 h or less[hazard ratio(HR),1.208;95%CI:1.107-1.319;P<0.001].Additionally,patients with peri-appendiceal abscesses had a significantly longer postoperative LOS compared to those with phlegmon(HR,1.217;95%CI:1.095-1.352;P<0.001).The patients with peri-appendiceal abscesses were divided into two groups based on the median size of the abscess:Those with abscesses smaller than 5.0 cm(n=69)and those with abscesses 5.0 cm or larger(n=82).Patients with peri-appendiceal abscesses measuring 5.0 cm or larger had a significantly longer postoperative LOS than those with abscesses smaller than 5.0 cm(P=0.038).CONCLUSION The duration of symptoms and the presence of an appendicolith are significant risk factors for the formation of peri-appendiceal abscesses in patients with acute complicated appendicitis.Patients with peri-appendiceal abscesses experience a significantly longer postoperative LOS compared to those with peri-appendiceal phlegmon.展开更多
Increasing evidence suggests that non-operative management(NOM)with antibiotics could serve as a safe alternative to surgery for the treatment of uncomplicated acute appendicitis(AA).However,accurately differentiating...Increasing evidence suggests that non-operative management(NOM)with antibiotics could serve as a safe alternative to surgery for the treatment of uncomplicated acute appendicitis(AA).However,accurately differentiating between uncomplicated and complicated AA remains challenging.Our aim was to develop and validate machine-learning-based diagnostic models to differentiate uncomplicated from complicated AA.This was a multicenter cohort trial conducted from January 2021 and December 2022 across five tertiary hospitals.Three distinct diagnostic models were created,namely,the clinical-parameter-based model,the CT-radiomicsbased model,and the clinical-radiomics-fused model.These models were developed using a comprehensive set of eight machinelearning algorithms,which included logistic regression(LR),support vector machine(SVM),random forest(RF),decision tree(DT),gradient boosting(GB),K-nearest neighbors(KNN),Gaussian Naïve Bayes(GNB),and multi-layer perceptron(MLP).The performance and accuracy of these diverse models were compared.All models exhibited excellent diagnostic performance in the training cohort,achieving a maximal AUC of 1.00.For the clinical-parameter model,the GB classifier yielded the optimal AUC of 0.77(95%confidence interval[CI]:0.64-0.90)in the testing cohort,while the LR classifier yielded the optimal AUC of 0.76(95%CI:0.66-0.86)in the validation cohort.For the CT-radiomics-based model,GB classifier achieved the best AUC of 0.74(95%CI:0.60-0.88)in the testing cohort,and SVM yielded an optimal AUC of 0.63(95%CI:0.51-0.75)in the validation cohort.For the clinical-radiomics-fused model,RF classifier yielded an optimal AUC of 0.84(95%CI:0.74-0.95)in the testing cohort and 0.76(95%CI:0.67-0.86)in the validation cohort.An openaccess,user-friendly online tool was developed for clinical application.This multicenter study suggests that the clinical-radiomicsfused model,constructed using RF algorithm,effectively differentiated between complicated and uncomplicated AA.展开更多
文摘BACKGROUND Retrograde intrarenal surgery(RIRS)has been proven to be a safe and effective treatment modality in large-scale quantitative studies.However,although its safety profile has been established,it also has a potential risk of life-threatening complications.We here describe our experience with a patient who developed a huge periureteral hematoma after RIRS with holmium laser lithotripsy.CASE SUMMARY A 73-year-old woman visited our center with a complaint of gross hematuria.An enhanced computed tomography(CT)scan revealed a 1.5-cm left renal pelvis stone with hydronephrosis.The patient underwent RIRS.During the surgery,a 12/14-Fr ureteral access sheath was applied and a 6-Fr ureteral catheter was indwelled thereafter.On postoperative day 1,she experienced aggravated left flank pain and left lower-quadrant tenderness without rebound tenderness.A follow-up CT scan was taken,which revealed a huge hematoma in the periureteral space,not in the perirenal space,with suspicious contrast medium extravasation.Immediate angiography was performed;however,it showed no evidence of active bleeding.She was conservatively managed with hydration and antibiotic and nonsteroidal anti-inflammatory drug therapy,and was discharged on postoperative day 7.However,she visited our outpatient department with recurrent left flank pain at 5 d from discharge.Ultrasonography confirmed that the double J-stent was intact.To rule out stent malfunction,the stent was changed.Decreased size of the hematoma was observed in the imaging studies,and conservative management for candiduria was performed for 1 wk.CONCLUSION Although RIRS is an effective and safe procedure for the management of renal stones,clinicians should be aware of its potential complications.
文摘BACKGROUND Acute appendicitis(AAp)is a prevalent medical condition characterized by inflammation of the appendix that frequently necessitates urgent surgical procedures.Approximately two-thirds of patients with AAp exhibit characteristic signs and symptoms;hence,negative AAp and complicated AAp are the primary concerns in research on AAp.In other terms,further investigations and algorithms are required for at least one third of patients to predict the clinical condition and distinguish them from uncomplicated patients with AAp.AIM To use a Stochastic Gradient Boosting(SGB)-based machine learning(ML)algorithm to tell the difference between AAp patients who are complicated and those who are not,and to find some important biomarkers for both types of AAp by using modeling to get variable importance values.METHODS This study analyzed an open access data set containing 140 people,including 41 healthy controls,65 individuals with uncomplicated AAp,and 34 individuals with complicated AAp.We analyzed some demographic data(age,sex)of the patients and the following biochemical blood parameters:White blood cell(WBC)count,neutrophils,lymphocytes,monocytes,platelet count,neutrophil-tolymphocyte ratio,lymphocyte-to-monocyte ratio,mean platelet volume,neutrophil-to-immature granulocyte ratio,ferritin,total bilirubin,immature granulocyte count,immature granulocyte percent,and neutrophil-to-immature granulocyte ratio.We tested the SGB model using n-fold cross-validation.It was implemented with an 80-20 training-test split.We used variable importance values to identify the variables that were most effective on the target.RESULTS The SGB model demonstrated excellent performance in distinguishing AAp from control patients with an accuracy of 96.3%,a micro aera under the curve(AUC)of 94.7%,a sensitivity of 94.7%,and a specificity of 100%.In distinguishing complicated AAp patients from uncomplicated ones,the model achieved an accuracy of 78.9%,a micro AUC of 79%,a sensitivity of 83.3%,and a specificity of 76.9%.The most useful biomarkers for confirming the AA diagnosis were WBC(100%),neutrophils(95.14%),and the lymphocyte-monocyte ratio(76.05%).On the other hand,the most useful biomarkers for accurate diagnosis of complicated AAp were total bilirubin(100%),WBC(96.90%),and the neutrophil-immature granulocytes ratio(64.05%).CONCLUSION The SGB model achieved high accuracy rates in identifying AAp patients while it showed moderate performance in distinguishing complicated AAp patients from uncomplicated AAp patients.Although the model's accuracy in the classification of complicated AAp is moderate,the high variable importance obtained is clinically significant.We need further prospective validation studies,but the integration of such ML algorithms into clinical practice may improve diagnostic processes.
文摘Introduction: Diabetes mellitus, a metabolic disease, is now an important public health problem across the world. Our aim was to study the epidemiological, clinical, paraclinical, and evolutionary aspects of acute metabolic complications (AMC) of diabetes in the endocrinology department of the Oueme-Plateau Provincial Teaching Hospital. Methods: This was a descriptive cross-sectional study with data collection based on the medical records of patients presenting with acute metabolic complications of diabetes in the endocrinology department of the Oueme-Plateau Provincial Teaching Hospital during the 3 years study period (from January 2020 to December 2022). Results: Over 788 patients hospitalized during the study period, 157 had an acute metabolic complication of diabetes, which is a hospital prevalence of 19.9%. Among these 157 cases, 140 were suitable for analysis and therefore constituted our study sample. The mean age of the patients was 49.9 ± 14.7 years, with 19 as minimum and 90 years as maximum. Most of them were women (52.4%). Hypertensive diabetics accounted for 54.9% of cases. Ketoacidosis was the most common complication (62.1%), followed by hyperosmolar hyperglycemic syndrome (23.6%) and hypoglycemia (14.3%). Infection (69.3%) and therapeutic noncompliance (22.9%) were the most common triggers. The average length period of their hospital stay was 7.1 ± 5.1 days, and the outcome was satisfactory in 87.9% of the cases. Unfortunately, there were 3.6% deaths during hospitalization. Conclusion: Acute metabolic complications of diabetes were dominated by ketoacidosis. Infection was the dominant factor in decompensation. Therapeutic education of diabetic patients as well as clinical and biological monitoring must be more stringent and rigorous.
基金Supported by Science and Technology Department of Yunnan Province-Kunming Medical University,Kunming Medical Joint Special Project-Surface Project,No.202401AY070001-164Yunnan Provincial Department of Science and Technology Science and Technology Plan Project-Major Science and Technology Special Projects,No.202405AJ310003+1 种基金Yunnan Provincial Department of Science and Technology Science and Technology Plan Project-Key Research and Development Program,No.202103AC100004Yunnan Province Science and Technology Department Key Research and Development Plan,No.202103AC100002.
文摘BACKGROUND Acute myocardial infarction(AMI)combined with ventricular septal perforation(VSR)is still a highly fatal condition in the era of reperfusion therapy.The incidence rate has decreased to 0.2%-0.4%due to the popularization of percutaneous coronary intervention.However,the risk is significantly increased for those who fail to undergo revascularization in time,and the mortality rate remains high.The current core contradiction in clinical practice lies in the selection of surgical timing,and the disparity in medical resources significantly affects prognosis.There is an urgent need to optimize the identification of high-risk populations and individualized treatment strategies.AIM To investigate the clinical features,determine the prognostic factors,and develop a predictive model for 30-day mortality in patients with acute myocardial infarction complicated by ventricular septal rupture(AMI-VSR)residing in high-altitude regions.METHODS This study retrospectively analyzed 48 AMI-VSR patients admitted to a Yunnan hospital from 2017 to 2024,with the establishment of survival(n=30)and mortality(n=18)groups based on patients’survival status.Risk factors were identified by univariate and multivariate logistic regression analyses.A nomogram model was developed using R software and validated via receiver operating characteristic(ROC)analysis and calibration curves.RESULTS Age,uric acid(UA),interleukin-6(IL-6),and low hemoglobin(Hb)were independent risk factors for 30-day mortality(odds ratios:1.147,1.006,1.034,and 0.941,respectively;P<0.05).The nomogram demonstrated excellent discrimination(area under the ROC curve=0.939)and calibration(Hosmer-Lemeshowχ²=2.268,P=0.971).In addition,patients’poor outcomes could be synergistically predicted by IL-6 and UA,advanced age,and reduced Hb.CONCLUSION This study highlights age,UA,IL-6,and Hb as critical predictors of mortality in AMI-VSR patients at high altitudes.The validated nomogram provides a practical tool for early risk stratification and tailored interventions,addressing gaps in managing this high-risk population in resource-limited settings.
文摘Objectives To observe the efficacy and safety of recombinant human brain natriuretic peptide(rh-BNP)on patients with acute myocardial infarction complicating congestive heart failure.Methods 40 patients with acute myocardial infarction complicated by congestive heart failure were randomly divided into control group and treatment group of 20 cases.The control group,15 cases of acute anterior myocardial infarction,5 cases of acute inferior wall myocardial infarction,15 males and 5 females,aged 55-70 years,mean age 58±12 years;treated 16 cases of acute anterior myocardial infarction,4 cases of acute myocardial infarction,16 males and 4 females,aged 56-70 years,mean age 59±11 years;two groups of age,gender,severity of disease and vascular lesions no significant difference and comparable(P】0.05).Conventional group were given aspirin,clopidogrel,statins,Inotropic,diuretic and vasodilator therapy.In the con-ventional treatment group based on the use of recombinant human brain natriuretic peptide(new bios,Xizang Pharmaceutical Co.,Ltd.Chengdu Nuodikang biopharmaceutical production,usage:1.5μg/Kg intravenous injection(impact),then 0.0075μg-0.01μg/(kg·min)infusion rate).Continuous medication 72 h.The clinical symptoms observed for 3 days in patients before treatment and after treatment,heart rate,blood pressure and left ventricular ejection fraction(LVEF)and tumor necrosis factor(TNF-α),brain natriuretic peptide(BNP)levels were measured.Results In control group,8 cases markedly effect,5 cases effect and 7 cases no effect,the total effective rate was 65%;In treatment group,13 cases markedly effect,6 cases effect and 1 cases no effect,the total effective rate was 95%,compared with two groups P New bios treatment group significantly increased cardiac index(CI)in patients with heart failure and left ventricular ejection fraction(LVEF)than the control group(all P【0.05),further reduce the levels of tumor necrosis(TNF-α)and brain natriuretic peptide(BNP).Conclusions rh-BNP can improve symptoms and heart function,reduced plasma tumor necrosis factor(TNF-α)and BNP levels of acute myocardial infarction patients with congestive heart failure,the treatment safe and reliable.As small sample size observed,larger sample to be accumulated to further evaluate its efficacy and safety.
基金Supported by The National Natural Science Foundation of China,No.82373417The Natural Science Foundation of Shanghai,China,No.23ZR1409900The Clinical Research Fund of Zhongshan Hospital,Fudan University,China,No.ZSLCYJ202343.
文摘BACKGROUND Although antibiotic therapy has become the primary treatment for acute unco-mplicated appendicitis,the management of acute complicated appendicitis nece-ssitates careful consideration of various treatment options.AIM To analyze the clinical data of patients who underwent emergency appendectomy for acute complicated appendicitis with peri-appendiceal abscess or phlegmon,identify factors influencing the postoperative length of hospital stay(LOS),and improve treatment strategies.METHODS The clinical data of acute complicated appendicitis patients with peri-appendiceal abscess or phlegmon who underwent emergency appendectomy at The Depart-ment of Emergency Surgery,Zhongshan Hospital,Fudan University from January 2016 to March 2023 were retrospectively analyzed.RESULTS A total of 234 patients were included in our study.The duration of symptoms and the presence of an appendicolith were significantly correlated with the occurrence of peri-appendiceal abscess in patients with acute complicated appendicitis(P<0.001 and P=0.015,respectively).Patients with symptoms lasting longer than 72 h had a significantly longer postoperative LOS compared to those with symptoms lasting 72 h or less[hazard ratio(HR),1.208;95%CI:1.107-1.319;P<0.001].Additionally,patients with peri-appendiceal abscesses had a significantly longer postoperative LOS compared to those with phlegmon(HR,1.217;95%CI:1.095-1.352;P<0.001).The patients with peri-appendiceal abscesses were divided into two groups based on the median size of the abscess:Those with abscesses smaller than 5.0 cm(n=69)and those with abscesses 5.0 cm or larger(n=82).Patients with peri-appendiceal abscesses measuring 5.0 cm or larger had a significantly longer postoperative LOS than those with abscesses smaller than 5.0 cm(P=0.038).CONCLUSION The duration of symptoms and the presence of an appendicolith are significant risk factors for the formation of peri-appendiceal abscesses in patients with acute complicated appendicitis.Patients with peri-appendiceal abscesses experience a significantly longer postoperative LOS compared to those with peri-appendiceal phlegmon.
基金funded by the Natural Science Foundation of China for Youth[grant number 82103593]Program of Three Talents and One Team[grant number 4143524].
文摘Increasing evidence suggests that non-operative management(NOM)with antibiotics could serve as a safe alternative to surgery for the treatment of uncomplicated acute appendicitis(AA).However,accurately differentiating between uncomplicated and complicated AA remains challenging.Our aim was to develop and validate machine-learning-based diagnostic models to differentiate uncomplicated from complicated AA.This was a multicenter cohort trial conducted from January 2021 and December 2022 across five tertiary hospitals.Three distinct diagnostic models were created,namely,the clinical-parameter-based model,the CT-radiomicsbased model,and the clinical-radiomics-fused model.These models were developed using a comprehensive set of eight machinelearning algorithms,which included logistic regression(LR),support vector machine(SVM),random forest(RF),decision tree(DT),gradient boosting(GB),K-nearest neighbors(KNN),Gaussian Naïve Bayes(GNB),and multi-layer perceptron(MLP).The performance and accuracy of these diverse models were compared.All models exhibited excellent diagnostic performance in the training cohort,achieving a maximal AUC of 1.00.For the clinical-parameter model,the GB classifier yielded the optimal AUC of 0.77(95%confidence interval[CI]:0.64-0.90)in the testing cohort,while the LR classifier yielded the optimal AUC of 0.76(95%CI:0.66-0.86)in the validation cohort.For the CT-radiomics-based model,GB classifier achieved the best AUC of 0.74(95%CI:0.60-0.88)in the testing cohort,and SVM yielded an optimal AUC of 0.63(95%CI:0.51-0.75)in the validation cohort.For the clinical-radiomics-fused model,RF classifier yielded an optimal AUC of 0.84(95%CI:0.74-0.95)in the testing cohort and 0.76(95%CI:0.67-0.86)in the validation cohort.An openaccess,user-friendly online tool was developed for clinical application.This multicenter study suggests that the clinical-radiomicsfused model,constructed using RF algorithm,effectively differentiated between complicated and uncomplicated AA.
