BACKGROUND The application of perioperative disinfection and isolation measures to patients undergoing gastrointestinal surgery with postoperative infection can provide a data reference for reducing the postoperative ...BACKGROUND The application of perioperative disinfection and isolation measures to patients undergoing gastrointestinal surgery with postoperative infection can provide a data reference for reducing the postoperative infection rate,improving post-operative biochemical markers,and enhancing postoperative recovery outcomes.AIM To explore the effectiveness of perioperative disinfection and isolation measures in controlling postoperative infection following gastrointestinal surgery.It also sought to compare infection rates and biochemical markers between the obser-vation and control groups and evaluate the impact of disinfection and isolation measures on reducing postoperative complications.METHODS A retrospective analysis was conducted.Ninety-six patients who underwent gastrointestinal surgery between January 2022 and December 2023 were selected and divided into an observation group and a control group,with 48 cases in each.The observation group received disinfection and isolation measures during the perioperative period,whereas the control group received standard nursing care.The incidence of infection,white blood cell count,C-reactive protein levels,hemoglobin levels,and liver function markers(alanine aminotransferase,aspartate aminotransferase,creatinine,and blood urea nitrogen)were monitored postoperatively in both groups.RESULTS The postoperative infection rate in the observation group was significantly lower than that in the control group(P<0.05).White blood cell and C-reactive protein levels decreased significantly after surgery in the observation group and were significantly lower than those in the control group(P<0.05).Alanine aminotransferase,aspartate aminotransferase,creatinine,and blood urea nitrogen levels in the observation group were lower than those in the control group on postoperative days 1 and 3,showing a significant difference(P<0.05).CONCLUSION Perioperative disinfection and isolation measures effectively reduce postoperative infection rates in gastrointestinal surgery patients and improve biochemical markers,thereby enhancing recovery outcomes.This study provides a valuable basis for postoperative infection control and has significant clinical applications.展开更多
This editorial critically evaluated the recent study by Wang et al,which systematically investigated the efficacy of perioperative disinfection and isolation measures(including preoperative povidone-iodine disinfectio...This editorial critically evaluated the recent study by Wang et al,which systematically investigated the efficacy of perioperative disinfection and isolation measures(including preoperative povidone-iodine disinfection,intraoperative sterile barrier techniques,and postoperative intensive care)in reducing infection rates.The study further incorporated the surgical site infection risk prediction model(constructed via the least absolute shrinkage and selection operator al-gorithm,integrating patients'baseline characteristics,surgical indicators,and regional antibiotic-resistant bacterial data),and proposed a dynamic prevention and control system termed“disinfection protocols-predictive models–real-time monitoring”.The article highlighted that preoperative risk stratification,intraoperative personalized antibiotic selection,and postoperative multidimensional monitoring(encompassing inflammatory biomarkers,imaging,and microbiological testing)enabled the precise identification of high-risk patients and optimized intervention thresholds.Future research is deemed necessary to validate the synergistic effects of disinfection protocols and predictive models through large-scale multicenter studies,combined with advanced intraoperative rapid microbial detection technologies.This approach aims to establish standardized infection control protocols tailored for precision medicine and regional adaptability.Future research should prioritize validating the synergistic effects of disinfection protocols and predictive models via multi-center studies,while incorporating advanced rapid intraoperative microbial detection technologies to develop standardized infection prevention and control procedures.Such efforts will enhance the implementation of precise and regionally adaptive infection control strategies.展开更多
This study aims to improve control schemes for COVID-19 by a numerical model with estimation of parameters.We established a multi-level and multi-objective nonlinear SEIDR model to simulate the virus transmission.The ...This study aims to improve control schemes for COVID-19 by a numerical model with estimation of parameters.We established a multi-level and multi-objective nonlinear SEIDR model to simulate the virus transmission.The early spread in Japan was adopted as a case study.The first 96 days since the infection were divided into five stages with parameters estimated.Then,we analyzed the trend of the parameter value,age structure ratio,and the defined PCR test index(standardization of the scale of PCR tests).It was discovered that the self-healing rate and confirmed rate were linear with the age structure ratio and the PCR test index using the stepwise regression method.The transmission rates were related to the age structure ratio,PCR test index,and isolation efficiency.Both isolation measures and PCR test medical screening can effectively reduce the number of infected cases based on the simulation results.However,the strategy of increasing PCR test medical screening would encountered a bottleneck effect on the virus control when the index reached 0.3.The effectiveness of the policy would decrease and the basic reproduction number reached the extreme value at 0.6.This study gave a feasible combination for isolation and PCR test by simulation.The isolation intensity could be adjusted to compensate the insufficiency of PCR test to control the pandemic.展开更多
文摘BACKGROUND The application of perioperative disinfection and isolation measures to patients undergoing gastrointestinal surgery with postoperative infection can provide a data reference for reducing the postoperative infection rate,improving post-operative biochemical markers,and enhancing postoperative recovery outcomes.AIM To explore the effectiveness of perioperative disinfection and isolation measures in controlling postoperative infection following gastrointestinal surgery.It also sought to compare infection rates and biochemical markers between the obser-vation and control groups and evaluate the impact of disinfection and isolation measures on reducing postoperative complications.METHODS A retrospective analysis was conducted.Ninety-six patients who underwent gastrointestinal surgery between January 2022 and December 2023 were selected and divided into an observation group and a control group,with 48 cases in each.The observation group received disinfection and isolation measures during the perioperative period,whereas the control group received standard nursing care.The incidence of infection,white blood cell count,C-reactive protein levels,hemoglobin levels,and liver function markers(alanine aminotransferase,aspartate aminotransferase,creatinine,and blood urea nitrogen)were monitored postoperatively in both groups.RESULTS The postoperative infection rate in the observation group was significantly lower than that in the control group(P<0.05).White blood cell and C-reactive protein levels decreased significantly after surgery in the observation group and were significantly lower than those in the control group(P<0.05).Alanine aminotransferase,aspartate aminotransferase,creatinine,and blood urea nitrogen levels in the observation group were lower than those in the control group on postoperative days 1 and 3,showing a significant difference(P<0.05).CONCLUSION Perioperative disinfection and isolation measures effectively reduce postoperative infection rates in gastrointestinal surgery patients and improve biochemical markers,thereby enhancing recovery outcomes.This study provides a valuable basis for postoperative infection control and has significant clinical applications.
文摘This editorial critically evaluated the recent study by Wang et al,which systematically investigated the efficacy of perioperative disinfection and isolation measures(including preoperative povidone-iodine disinfection,intraoperative sterile barrier techniques,and postoperative intensive care)in reducing infection rates.The study further incorporated the surgical site infection risk prediction model(constructed via the least absolute shrinkage and selection operator al-gorithm,integrating patients'baseline characteristics,surgical indicators,and regional antibiotic-resistant bacterial data),and proposed a dynamic prevention and control system termed“disinfection protocols-predictive models–real-time monitoring”.The article highlighted that preoperative risk stratification,intraoperative personalized antibiotic selection,and postoperative multidimensional monitoring(encompassing inflammatory biomarkers,imaging,and microbiological testing)enabled the precise identification of high-risk patients and optimized intervention thresholds.Future research is deemed necessary to validate the synergistic effects of disinfection protocols and predictive models through large-scale multicenter studies,combined with advanced intraoperative rapid microbial detection technologies.This approach aims to establish standardized infection control protocols tailored for precision medicine and regional adaptability.Future research should prioritize validating the synergistic effects of disinfection protocols and predictive models via multi-center studies,while incorporating advanced rapid intraoperative microbial detection technologies to develop standardized infection prevention and control procedures.Such efforts will enhance the implementation of precise and regionally adaptive infection control strategies.
基金National Natural Science Foundation of China under Grant Nos.61803152,31920103016,and 11871475Doctoral Start-Up Foundation of Hunan Normal University under Grant No.0531120-3827Hunan Provincial Education Department under Grant No.HNKCSZ-2020-0813.
文摘This study aims to improve control schemes for COVID-19 by a numerical model with estimation of parameters.We established a multi-level and multi-objective nonlinear SEIDR model to simulate the virus transmission.The early spread in Japan was adopted as a case study.The first 96 days since the infection were divided into five stages with parameters estimated.Then,we analyzed the trend of the parameter value,age structure ratio,and the defined PCR test index(standardization of the scale of PCR tests).It was discovered that the self-healing rate and confirmed rate were linear with the age structure ratio and the PCR test index using the stepwise regression method.The transmission rates were related to the age structure ratio,PCR test index,and isolation efficiency.Both isolation measures and PCR test medical screening can effectively reduce the number of infected cases based on the simulation results.However,the strategy of increasing PCR test medical screening would encountered a bottleneck effect on the virus control when the index reached 0.3.The effectiveness of the policy would decrease and the basic reproduction number reached the extreme value at 0.6.This study gave a feasible combination for isolation and PCR test by simulation.The isolation intensity could be adjusted to compensate the insufficiency of PCR test to control the pandemic.
