The index systems are not only the tools to evaluate existing practice results, but also the guides to the future development direction and development way of practical activities. ＂Well-off society＂ is a relatively...The index systems are not only the tools to evaluate existing practice results, but also the guides to the future development direction and development way of practical activities. ＂Well-off society＂ is a relatively vague concept, and the contents of it ceaselessly change with the advancement of society and the development of productivity. Now the construction of a well-off society in an all-round way enters a critical stage, so the original evaluation standards must change with gradual advancement of the construction goal of a well-off society. So it is very necessary for us to build a comprehensive evaluation index system and make it better and better to provide effective statistical consultation and statistical supervision for constructing a well-off society in an all-round way. This paper attempts to analyze the current evaluation index system, then puts forward the general thinking and flame work of the index system of building a well-off society in an all-round way.展开更多
BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neut...BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.展开更多
BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia...BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia,nausea,vomiting,and other discomforts,and often suffer from malnutrition,which in turn negatively affects perioperative safety,prognosis,and the effectiveness of adjuvant therapeutic measures.Consequently,some nutritional indicators such as nutritional risk index(NRI),prognostic nutritional index(PNI),and systemic immune-inflammatorynutritional index(SIINI)can be used as predictors of the prognosis of GC patients.AIM To examine the prognostic significance of PNI,NRI,and SIINI in postoperative patients with GC.METHODS A retrospective analysis was conducted on the clinical data of patients with GC who underwent surgical treatment at the Guangxi Medical University Cancer Hospital between January 2010 and December 2018.The area under the receiver operating characteristic(ROC)curve was assessed using ROC curve analysis,and the optimal cutoff values for NRI,PNI,and SIINI were identified using the You-Review-HTMLden index.Survival analysis was performed using the Kaplan-Meier method.In addition,univariate and multivariate analyses were conducted using the Cox proportional hazards regression model.RESULTS This study included a total of 803 patients.ROC curves were used to evaluate the prognostic ability of NRI,PNI,and SIINI.The results revealed that SIINI had superior predictive accuracy.Survival analysis indicated that patients with GC in the low SIINI group had a significantly better survival rate than those in the high SIINI group(P<0.05).Univariate analysis identified NRI[hazard ratio(HR)=0.68,95%confidence interval(CI):0.52-0.89,P=0.05],PNI(HR=0.60,95%CI:0.46-0.79,P<0.001),and SIINI(HR=2.10,95%CI:1.64-2.69,P<0.001)as prognostic risk factors for patients with GC.However,multifactorial analysis indicated that SIINI was an independent risk factor for the prognosis of patients with GC(HR=1.65,95%CI:1.26-2.16,P<0.001).CONCLUSION Analysis of clinical retrospective data revealed that SIINI is a valuable indicator for predicting the prognosis of patients with GC.Compared with NRI and PNI,SIINI may offer greater application for prognostic assessment.展开更多
The recurrence of atrial fibrillation(AF)in patients after successful radiofrequency catheter ablation(RFCA)appears to be an unresolved clinical issue and needs to be clearly elucidated.There are many factors associat...The recurrence of atrial fibrillation(AF)in patients after successful radiofrequency catheter ablation(RFCA)appears to be an unresolved clinical issue and needs to be clearly elucidated.There are many factors associated with AF recurrence,such as duration of AF,male sex,concomitant heart failure,hemodynamic parameters,chronic obstructive pulmonary disease,hypertension,obstructive sleep apnea,hyperthyroidism,smoking and obesity.However,the inflammatory changes are strongly associated with electrical and structural cardiac remodeling,cardiac damage,myocardial fibrotic changes,microvascular dysfunction and altered reparative response.In this context,biomarkers reflecting the different stages of AF pathogenesis deserve thorough investigation.The authors of the retrospective study revealed that one-year recurrence rate of non-valvular AF in the high systemic immune inflammation(SII)index group was significantly increased compared to that of the low SII index group and provided additional predictive value to the APPLE.Furthermore,the authors suggest that this biomarker may help physicians to optimize the selection of AF patients and to develop a personalized treatment approach.In conclusion,the SII index may serve as a valuable indicator of recurrent AF in patients after RFCA and may be a biomarker with plausible predictive value for poor clinical outcomes.展开更多
Due to the mining,smelting,sewage irriga-tion,agricultural runoff,and development ofrural enterprises,combined pollution of Cd andZn in soil-rice systems has frequently oc-curred.This problem was studied by using thep...Due to the mining,smelting,sewage irriga-tion,agricultural runoff,and development ofrural enterprises,combined pollution of Cd andZn in soil-rice systems has frequently oc-curred.This problem was studied by using thepot-culture imitative method combined withhemical analysis and mathematical models.展开更多
Objective The systemic immune-inflammation index(SII)has recently attracted significant interest as a new biomarker for predicting the prognosis of patients with glioblastoma(GBM).However,the predictive significance o...Objective The systemic immune-inflammation index(SII)has recently attracted significant interest as a new biomarker for predicting the prognosis of patients with glioblastoma(GBM).However,the predictive significance of it is still a subject of debate.This study intended to assess the clinical effectiveness of the SII in GBM and establish a nomogram.Methods Receiver operating characteristic(ROC)curves were utilized to determine the optimal cut-off values of the SII.Kaplan–Meier(KM)survival curves were used to analyze the median overall survival(OS).Cox regression analysis was carried out to evaluate the associations between OS and different clinical factors.Based on the SII and clinical characteristics,a nomogram was constructed,and its value in clinical application was evaluated by means of decision curve analysis.Results The optimal SII cut-off value was 610.13.KM analysis revealed that GBM patients with higher SII values had shorter OS(15.0 vs.34.0 months,P=0.044).Multivariate analysis demonstrated that a high SII was an independent predictor of poor outcome in GBM(HR=1.79,P=0.029).The nomogram incorporating the preoperative SII showed good predictive accuracy for GBM patient prognosis(C-index=0.691).Conclusions The SII is an independent predictive indicator for GBM.Patients with elevated SII levels tend to have a poorer prognosis.A nomogram combining the SII with clinical and molecular pathological features can assist clinicians in assessing the risk of death in GBM patients,providing a basis for individualized treatment decisions.展开更多
Background:No clear evidence exists regarding the relationship between the systemic immune-inflammation index(SII)and the efficacy of first-line chemotherapy combined with immunotherapy in patients with advanced non-s...Background:No clear evidence exists regarding the relationship between the systemic immune-inflammation index(SII)and the efficacy of first-line chemotherapy combined with immunotherapy in patients with advanced non-small cell lung cancer(NSCLC).This study aimed to establish the relationship between the SII and survival of patients with advanced NSCLC.Methods:This study included 123 patients with advanced NSCLC.The cutoff value of the SII was determined to be 1172 using ROC curve analysis.We evaluated the relationship between the SII and progression-free survival(PFS)and overall survival(OS)using the Cox regression model and Kaplan-Meier(KM)curve analysis.We stratified patients into multiple subgroups based on covariates such as age,sex,and smoking history.Subgroup analysis was used to evaluate the relationship between high SII,disease progression,and mortality risk.Results:Univariate analysis indicated that no significant difference existed between SII and PFS,but univariate analysis showed a significant association between SII and OS(hazard ratio[HR]=1.93,95% confidence interval[CI]=1.14-3.29,p=0.015).The fully adjusted Cox regression analysis also showed a significant correlation between the SII and OS after adjustment for covariables(HR=1.76,95%CI=1.02-3.02,p=0.041).In some subgroups,a high SII positively correlated with the risk of disease progression,and the relationship between a high SII and the risk of mortality was consistent in almost all subgroups.Conclusions:These results indicate that pretreatment SII may be an independent predictivemarker for patients with advanced NSCLC undergoing first-line chemotherapy combined with immunotherapy.However,large-scale prospective studies are required to confirm our results.展开更多
Atrial fibrillation(Afib)is a common arrhythmia with significant public health implications,affecting millions of individuals worldwide.Catheter ablation(CA)is an established treatment for drug-resistant Afib,yet recu...Atrial fibrillation(Afib)is a common arrhythmia with significant public health implications,affecting millions of individuals worldwide.Catheter ablation(CA)is an established treatment for drug-resistant Afib,yet recurrence remains a major concern,impacting quality of life in a significant portion of patients.Inflammation plays a critical role in the recurrence of Afib after ablation,with systemic inflammatory markers such as C-reactive protein being linked to higher recurrence rates.In this editorial,we discuss the study by Wang et al,published in the latest issue,which investigates the predictive role of the systemic immune inflammation index(SII)in Afib recurrence following radiofrequency CA.Elevated pre-ablation SII levels are identified as an independent predictor of recurrence,significantly enhancing the predictive power of the APPLE score.Integration of SII improved the APPLE score’s predictive performance,as shown by enhanced area under the curve,net reclassification improvement,and integrated discrimination improvement.This combined model highlights the importance of both structural and inflammatory factors in Afib recurrence,offering a more personalized approach to patient management.Additionally,the affordability and accessibility of SII enhance its practicality in clinical workflows.The study by Wang et al underscores the potential of integrating SII with existing scoring systems to refine risk stratification and optimize treatment strategies.Future research should validate these findings across diverse populations,explore limitations such as the potential influence of comorbidities on SII reliability,and investigate additional biomarkers to enhance predictive accuracy.展开更多
Atrial fibrillation(AF)is the most common arrhythmia in humans,affecting more than 40 million people worldwide.Radiofrequency catheter ablation(RFCA)was first introduced as a treatment for AF by Haïssaguerre M in...Atrial fibrillation(AF)is the most common arrhythmia in humans,affecting more than 40 million people worldwide.Radiofrequency catheter ablation(RFCA)was first introduced as a treatment for AF by Haïssaguerre M in the late 1990s.This procedure quickly became the treatment of choice,especially for symptomatic patients with AF refractory to medication.However,up to 45%of patients may experience AF recurrence within 12 months after RFCA.In this setting,AF recurrence is likely multifactorial,including atrial remodeling,local fibrosis or incomplete ablation due to failure in locating the trigger.Additionally,patients with obesity,sleep apnea,hypertension,or diabetes are at an increased risk of AF recurrence after RFCA.Inflammation is increasingly recognized as a potential key factor in AF recurrence and may arise both from the healing response of heart tissue post-ablation or from chronic low-grade inflammation,as observed in many risk factors.Here,we present an original study by Wang et al,which investigated the combination of the systemic immune-inflammation index-a marker developed to assess overall inflammatory status-and the APPLE score,designed to predict AF recurrence following RFCA.The study found that using both indicators together improved the accuracy of AF recurrence prediction.These findings underscore the significant role of inflammation in cardiovascular disease and demonstrated its impact on AF recurrence after RFCA.Further research is warranted to validate the combined use of these two scores in clinical settings for predicting AF recurrence following catheter ablation.展开更多
BACKGROUND Systemic immune-inflammation index(SII)combined with serum lactoferrin(LF)level can provide a reference for predicting the postoperative survival and prognosis of older patients with colon cancer.AIM To eva...BACKGROUND Systemic immune-inflammation index(SII)combined with serum lactoferrin(LF)level can provide a reference for predicting the postoperative survival and prognosis of older patients with colon cancer.AIM To evaluate the predictive value of SII combined with serum LF for postoperative survival in older patients with colon cancer.METHODS This prospective study included 62 older patients[range,65-85 years;average age(72.46±6.02)years]with colon cancer who underwent radical surgery at our hospital between January 2023 and September 2024.Colon cancer was confirmed on postoperative pathology.All patients underwent peripheral blood,LF,and tumor marker tests and imaging examinations preoperatively.The ability to predict overall survival(OS)and disease-free survival(DFS)by dynamically monitoring the SII[platelet(PLT)count×neutrophil(NEU)count/lymphocyte(LYM)count]and LF levels in combination with postoperative follow-up data was assessed.SII,LF levels,and postoperative data were analyzed using receiver operating characteristic curves,univariate,and multivariate Cox regression analyses to assess OS and DFS.RESULTS All patients were followed up conventionally postoperatively.There were no significant differences in the patients’baseline data.From 3 months preoperatively until after surgery,the values of routine blood indices(NEUs,LYMs,and PLTs)and SII tended to decrease,but the difference was not statistically significant.The LF level gradually decreased,and there were significant differences at 1 week,1 month and 3 months postoperatively(P<0.05).Liver and kidney functions significantly increased 1 week postoperatively and gradually recovered(P<0.05).The C-reactive protein level significantly increased 1 week postoperatively,whereas the prealbumin level significantly decreased then recovered 3 months postoperatively(P<0.05).The levels of carcinoembryonic antigen(CEA)and carbohydrate antigen 19-9(CA19-9)significantly increased 6 months postoperatively,suggesting an increased risk of recurrence(P<0.05).Both the OS and DFS showed significant changes over time.Preoperative SII and LF levels had significant predictive values for OS and DFS.In logistics regression analysis,a SII of 585 or greater and LF level less than 185 ng/mL(determined by maximizing the Youden index)correlated with postoperative survival(P<0.05).Further Cox regression analysis showed that the SII and LF,CA19-9,and CEA levels were independent predictors of postoperative OS(P<0.05),whereas the tumor,node,metastasis stage;LF level;and SII were independent predictors of DFS.CONCLUSION This preliminary analysis suggests that the SII and LF levels may predict the survival and prognosis of older patients with colon cancer postoperatively,when assessing the risk of postoperative recurrence and complications.These two categories of indicators have good prognostic evaluation potential in clinical practice and can provide strong support for the development of individualized treatment strategies.展开更多
文摘The index systems are not only the tools to evaluate existing practice results, but also the guides to the future development direction and development way of practical activities. ＂Well-off society＂ is a relatively vague concept, and the contents of it ceaselessly change with the advancement of society and the development of productivity. Now the construction of a well-off society in an all-round way enters a critical stage, so the original evaluation standards must change with gradual advancement of the construction goal of a well-off society. So it is very necessary for us to build a comprehensive evaluation index system and make it better and better to provide effective statistical consultation and statistical supervision for constructing a well-off society in an all-round way. This paper attempts to analyze the current evaluation index system, then puts forward the general thinking and flame work of the index system of building a well-off society in an all-round way.
文摘BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.
基金Supported by the Scientific Research Project of Hospital Pharmacy of Guangxi Pharmaceutical Association in 2022,No.GXYXH1-202202.
文摘BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia,nausea,vomiting,and other discomforts,and often suffer from malnutrition,which in turn negatively affects perioperative safety,prognosis,and the effectiveness of adjuvant therapeutic measures.Consequently,some nutritional indicators such as nutritional risk index(NRI),prognostic nutritional index(PNI),and systemic immune-inflammatorynutritional index(SIINI)can be used as predictors of the prognosis of GC patients.AIM To examine the prognostic significance of PNI,NRI,and SIINI in postoperative patients with GC.METHODS A retrospective analysis was conducted on the clinical data of patients with GC who underwent surgical treatment at the Guangxi Medical University Cancer Hospital between January 2010 and December 2018.The area under the receiver operating characteristic(ROC)curve was assessed using ROC curve analysis,and the optimal cutoff values for NRI,PNI,and SIINI were identified using the You-Review-HTMLden index.Survival analysis was performed using the Kaplan-Meier method.In addition,univariate and multivariate analyses were conducted using the Cox proportional hazards regression model.RESULTS This study included a total of 803 patients.ROC curves were used to evaluate the prognostic ability of NRI,PNI,and SIINI.The results revealed that SIINI had superior predictive accuracy.Survival analysis indicated that patients with GC in the low SIINI group had a significantly better survival rate than those in the high SIINI group(P<0.05).Univariate analysis identified NRI[hazard ratio(HR)=0.68,95%confidence interval(CI):0.52-0.89,P=0.05],PNI(HR=0.60,95%CI:0.46-0.79,P<0.001),and SIINI(HR=2.10,95%CI:1.64-2.69,P<0.001)as prognostic risk factors for patients with GC.However,multifactorial analysis indicated that SIINI was an independent risk factor for the prognosis of patients with GC(HR=1.65,95%CI:1.26-2.16,P<0.001).CONCLUSION Analysis of clinical retrospective data revealed that SIINI is a valuable indicator for predicting the prognosis of patients with GC.Compared with NRI and PNI,SIINI may offer greater application for prognostic assessment.
文摘The recurrence of atrial fibrillation(AF)in patients after successful radiofrequency catheter ablation(RFCA)appears to be an unresolved clinical issue and needs to be clearly elucidated.There are many factors associated with AF recurrence,such as duration of AF,male sex,concomitant heart failure,hemodynamic parameters,chronic obstructive pulmonary disease,hypertension,obstructive sleep apnea,hyperthyroidism,smoking and obesity.However,the inflammatory changes are strongly associated with electrical and structural cardiac remodeling,cardiac damage,myocardial fibrotic changes,microvascular dysfunction and altered reparative response.In this context,biomarkers reflecting the different stages of AF pathogenesis deserve thorough investigation.The authors of the retrospective study revealed that one-year recurrence rate of non-valvular AF in the high systemic immune inflammation(SII)index group was significantly increased compared to that of the low SII index group and provided additional predictive value to the APPLE.Furthermore,the authors suggest that this biomarker may help physicians to optimize the selection of AF patients and to develop a personalized treatment approach.In conclusion,the SII index may serve as a valuable indicator of recurrent AF in patients after RFCA and may be a biomarker with plausible predictive value for poor clinical outcomes.
文摘Due to the mining,smelting,sewage irriga-tion,agricultural runoff,and development ofrural enterprises,combined pollution of Cd andZn in soil-rice systems has frequently oc-curred.This problem was studied by using thepot-culture imitative method combined withhemical analysis and mathematical models.
基金funded by National Natural Science Foundation of China,grant number 82203007.
文摘Objective The systemic immune-inflammation index(SII)has recently attracted significant interest as a new biomarker for predicting the prognosis of patients with glioblastoma(GBM).However,the predictive significance of it is still a subject of debate.This study intended to assess the clinical effectiveness of the SII in GBM and establish a nomogram.Methods Receiver operating characteristic(ROC)curves were utilized to determine the optimal cut-off values of the SII.Kaplan–Meier(KM)survival curves were used to analyze the median overall survival(OS).Cox regression analysis was carried out to evaluate the associations between OS and different clinical factors.Based on the SII and clinical characteristics,a nomogram was constructed,and its value in clinical application was evaluated by means of decision curve analysis.Results The optimal SII cut-off value was 610.13.KM analysis revealed that GBM patients with higher SII values had shorter OS(15.0 vs.34.0 months,P=0.044).Multivariate analysis demonstrated that a high SII was an independent predictor of poor outcome in GBM(HR=1.79,P=0.029).The nomogram incorporating the preoperative SII showed good predictive accuracy for GBM patient prognosis(C-index=0.691).Conclusions The SII is an independent predictive indicator for GBM.Patients with elevated SII levels tend to have a poorer prognosis.A nomogram combining the SII with clinical and molecular pathological features can assist clinicians in assessing the risk of death in GBM patients,providing a basis for individualized treatment decisions.
基金supported by grants from the“Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation”under Grant No.2023JJA141341the“Guangxi Medical and Health Key Discipline Construction Project.”。
文摘Background:No clear evidence exists regarding the relationship between the systemic immune-inflammation index(SII)and the efficacy of first-line chemotherapy combined with immunotherapy in patients with advanced non-small cell lung cancer(NSCLC).This study aimed to establish the relationship between the SII and survival of patients with advanced NSCLC.Methods:This study included 123 patients with advanced NSCLC.The cutoff value of the SII was determined to be 1172 using ROC curve analysis.We evaluated the relationship between the SII and progression-free survival(PFS)and overall survival(OS)using the Cox regression model and Kaplan-Meier(KM)curve analysis.We stratified patients into multiple subgroups based on covariates such as age,sex,and smoking history.Subgroup analysis was used to evaluate the relationship between high SII,disease progression,and mortality risk.Results:Univariate analysis indicated that no significant difference existed between SII and PFS,but univariate analysis showed a significant association between SII and OS(hazard ratio[HR]=1.93,95% confidence interval[CI]=1.14-3.29,p=0.015).The fully adjusted Cox regression analysis also showed a significant correlation between the SII and OS after adjustment for covariables(HR=1.76,95%CI=1.02-3.02,p=0.041).In some subgroups,a high SII positively correlated with the risk of disease progression,and the relationship between a high SII and the risk of mortality was consistent in almost all subgroups.Conclusions:These results indicate that pretreatment SII may be an independent predictivemarker for patients with advanced NSCLC undergoing first-line chemotherapy combined with immunotherapy.However,large-scale prospective studies are required to confirm our results.
文摘Atrial fibrillation(Afib)is a common arrhythmia with significant public health implications,affecting millions of individuals worldwide.Catheter ablation(CA)is an established treatment for drug-resistant Afib,yet recurrence remains a major concern,impacting quality of life in a significant portion of patients.Inflammation plays a critical role in the recurrence of Afib after ablation,with systemic inflammatory markers such as C-reactive protein being linked to higher recurrence rates.In this editorial,we discuss the study by Wang et al,published in the latest issue,which investigates the predictive role of the systemic immune inflammation index(SII)in Afib recurrence following radiofrequency CA.Elevated pre-ablation SII levels are identified as an independent predictor of recurrence,significantly enhancing the predictive power of the APPLE score.Integration of SII improved the APPLE score’s predictive performance,as shown by enhanced area under the curve,net reclassification improvement,and integrated discrimination improvement.This combined model highlights the importance of both structural and inflammatory factors in Afib recurrence,offering a more personalized approach to patient management.Additionally,the affordability and accessibility of SII enhance its practicality in clinical workflows.The study by Wang et al underscores the potential of integrating SII with existing scoring systems to refine risk stratification and optimize treatment strategies.Future research should validate these findings across diverse populations,explore limitations such as the potential influence of comorbidities on SII reliability,and investigate additional biomarkers to enhance predictive accuracy.
文摘Atrial fibrillation(AF)is the most common arrhythmia in humans,affecting more than 40 million people worldwide.Radiofrequency catheter ablation(RFCA)was first introduced as a treatment for AF by Haïssaguerre M in the late 1990s.This procedure quickly became the treatment of choice,especially for symptomatic patients with AF refractory to medication.However,up to 45%of patients may experience AF recurrence within 12 months after RFCA.In this setting,AF recurrence is likely multifactorial,including atrial remodeling,local fibrosis or incomplete ablation due to failure in locating the trigger.Additionally,patients with obesity,sleep apnea,hypertension,or diabetes are at an increased risk of AF recurrence after RFCA.Inflammation is increasingly recognized as a potential key factor in AF recurrence and may arise both from the healing response of heart tissue post-ablation or from chronic low-grade inflammation,as observed in many risk factors.Here,we present an original study by Wang et al,which investigated the combination of the systemic immune-inflammation index-a marker developed to assess overall inflammatory status-and the APPLE score,designed to predict AF recurrence following RFCA.The study found that using both indicators together improved the accuracy of AF recurrence prediction.These findings underscore the significant role of inflammation in cardiovascular disease and demonstrated its impact on AF recurrence after RFCA.Further research is warranted to validate the combined use of these two scores in clinical settings for predicting AF recurrence following catheter ablation.
基金Supported by Rugao Science and Technology Research and Development Program(Agriculture and Social Development)Project,No.SRGS(24)061.
文摘BACKGROUND Systemic immune-inflammation index(SII)combined with serum lactoferrin(LF)level can provide a reference for predicting the postoperative survival and prognosis of older patients with colon cancer.AIM To evaluate the predictive value of SII combined with serum LF for postoperative survival in older patients with colon cancer.METHODS This prospective study included 62 older patients[range,65-85 years;average age(72.46±6.02)years]with colon cancer who underwent radical surgery at our hospital between January 2023 and September 2024.Colon cancer was confirmed on postoperative pathology.All patients underwent peripheral blood,LF,and tumor marker tests and imaging examinations preoperatively.The ability to predict overall survival(OS)and disease-free survival(DFS)by dynamically monitoring the SII[platelet(PLT)count×neutrophil(NEU)count/lymphocyte(LYM)count]and LF levels in combination with postoperative follow-up data was assessed.SII,LF levels,and postoperative data were analyzed using receiver operating characteristic curves,univariate,and multivariate Cox regression analyses to assess OS and DFS.RESULTS All patients were followed up conventionally postoperatively.There were no significant differences in the patients’baseline data.From 3 months preoperatively until after surgery,the values of routine blood indices(NEUs,LYMs,and PLTs)and SII tended to decrease,but the difference was not statistically significant.The LF level gradually decreased,and there were significant differences at 1 week,1 month and 3 months postoperatively(P<0.05).Liver and kidney functions significantly increased 1 week postoperatively and gradually recovered(P<0.05).The C-reactive protein level significantly increased 1 week postoperatively,whereas the prealbumin level significantly decreased then recovered 3 months postoperatively(P<0.05).The levels of carcinoembryonic antigen(CEA)and carbohydrate antigen 19-9(CA19-9)significantly increased 6 months postoperatively,suggesting an increased risk of recurrence(P<0.05).Both the OS and DFS showed significant changes over time.Preoperative SII and LF levels had significant predictive values for OS and DFS.In logistics regression analysis,a SII of 585 or greater and LF level less than 185 ng/mL(determined by maximizing the Youden index)correlated with postoperative survival(P<0.05).Further Cox regression analysis showed that the SII and LF,CA19-9,and CEA levels were independent predictors of postoperative OS(P<0.05),whereas the tumor,node,metastasis stage;LF level;and SII were independent predictors of DFS.CONCLUSION This preliminary analysis suggests that the SII and LF levels may predict the survival and prognosis of older patients with colon cancer postoperatively,when assessing the risk of postoperative recurrence and complications.These two categories of indicators have good prognostic evaluation potential in clinical practice and can provide strong support for the development of individualized treatment strategies.
