1.Prediction of abdominal complication after gastroenterological surgery for gastric and colorectal cancer
Qi WANG ; Zhouqiao WU ; Shiyang HOU ; Ziyu LI ; Jiafu JI
Chinese Journal of Digestive Surgery 2019;18(3):229-234
The postoperative complications in patients with gastric or colorectal cancer has been common but seriously affecting patients' recovery and even their life safety.According to the database of China Gastrointestinal Cancer Surgery Union,abdominal infectious complications are the main causes of secondary surgery and postoperative death,which deserve clinical attention.However,the incidence rate of postoperative abdominal infection varies widely from center to center.Due to the lack of nationwide data,it is unable to determine the incidence of abdominal infectious complications reasonably and formulate the corresponding strategies of evidence-based diagnosis and treatment.Therefore,this multi-center prospective cohort study,i.e.prediction of abdominal complication after gastroenterological surgery (PACAGE),aims to investigate the incidence,classification and outcomes of postoperative abdominal infection in patients with gastric or colorectal cancer,to implement the standardization of the complication registration,and to provide necessary data for improving surgical safety,preventing abdominal infection and decreasing the rate of postoperative complications in the future.
2.Diagnostic criteria and risk assessment of complications after gastric cancer surgery in western countries.
Zhouqiao WU ; Qi WANG ; Jinyao SHI ; Koh CHERRY ; Jacopo DESIDERIO ; Ziyu LI ; Jiafu JI
Chinese Journal of Gastrointestinal Surgery 2017;20(2):135-139
Postoperative complications are important outcome measurements for surgical quality and safety control. However, the complication registration has always been problematic due to the lack of definition consensus and the other practical difficulties. This narrative review summarizes the data registry system for single institutional registry, national data registry, international multi-center trial registries in the western world, aiming to share the experience of complication classification and data registration. We interviewed Dr. Koh from Royal Prince Alfred Hospital in Australia for single institutional experience, Dr. van der Wielen and Dr. Desideriofor, from two international multi-center trial(STOMACH) and registry (IMIGASTRIC) respectively, and Prof. Dr. Wijnhoven from the Dutch Upper GI Audit(DUCA). The major questions include which complications are obligated to report in the respective registry, what are the definitions of those complications, who perform the registration, and how are the complications evaluated or classified. Four telephone conferences were initiated to discuss the above-mentioned topics. The DUCA and IMGASTRIC provided the definition of the major complications. The consent definition provided by DUCA was based on the LOW classification which came out after a four-year discussion and consensus meeting among international experts in the according field. However, none of the four registries asked for an obligatory standardization of the diagnostic criteria among the participating centers or surgeons. Instead, all the registries required a detailed recording of the diagnostic strategy and classification of the complications with the Clavien-Dindo scoring system. Most data were registered by surgeons or data managers during or immediately after the hospitalization. The investigators or an independent third party conducted the auditing of the data quality. Standardization of complication diagnosis among different centers is a difficult task, consuming much effort and time. On top of that, standardization of the complication registration is of critical and practical importance. We encourage all centers to register complications with the diagnostic criteria and following intervention. Based on this, the Clavien-Dindo classification can be properly justified, which has been widely accepted by most centers and should be routinely used as the standard evaluation system for postoperative complications in gastric tumor surgery.
Australia
;
epidemiology
;
Data Collection
;
standards
;
statistics & numerical data
;
Diagnostic Techniques and Procedures
;
standards
;
statistics & numerical data
;
Digestive System Surgical Procedures
;
adverse effects
;
statistics & numerical data
;
Health Care Surveys
;
Humans
;
Netherlands
;
epidemiology
;
Postoperative Complications
;
classification
;
diagnosis
;
epidemiology
;
Registries
;
standards
;
Risk Assessment
;
methods
;
standards
;
Stomach Neoplasms
;
complications
;
surgery
3.Factors influencing malnutrition in tuberculosis patients based on analysis of nutritional status in different populations
Jinqi Hao ; Pengfei Gao ; Yanqin Yu ; Lan Zhang ; Jiafu Qi ; Mingyuan Hao ; Aixin Wang ; Fumin Feng
Acta Universitatis Medicinalis Anhui 2024;59(5):903-908,913
Objective :
To investigate the nutritional status and dietary structure of tuberculosis patients among different populations , analyze the factors influencing the nutritional status of tuberculosis patients , and provide theoretical basis for improving clinical nutrition and related issues in tuberculosis patients.
Methods :
Tuberculosis patients , non⁃tuberculosis patients , and healthy individuals were randomly selected for a questionnaire survey. Descriptive analysis was conducted using SPSS 20. 0 software. Statistical description was performed using rates and composition ratios , and qualitative data were described using relative numbers. Chi⁃square test was used to compare overall rates and composition ratios among different health conditions groups , with a significance level of α = 0. 05. Independent factors analysis of nutritional status body mass index (BMI) was conducted using multiple Logistic regression analysis for variables with statistically significant differences in the univariate analysis.
Results :
There were differences in the nutritional status (χ2 = 62. 184 , P < 0. 05) and dietary diversity score (χ2 = 64. 049 , P < 0. 05 ) among tuberculosis patients , non⁃tuberculosis patients , and healthy individuals. Univariate analysis of nutritional status BMI showed statistically significant differences in gender, smoking , meat⁃based diet , vegetable⁃based diet , moderate diet diversity score , and 6 other variables for tuberculosis patients ( P < 0. 05 ) , and in gender, age , ethnicity , marital status , occupation , education level , smoking , drinking white wine , drinking beer, meatcally significant differences in the univariate analysis were included in the multiple ordinal logistic regression analysis model for both tuberculosis patients and healthy individuals. The results showed that the level of education , vegetable intake , moderate food diversity score (DDS) of 4 - 6 were independent influencing factors of nutritional status BMI among tuberculosis patients (P < 0. 05) ; marital status was an independent influencing factor of nutritional status BMI among non⁃tuberculosis patients (P < 0. 05) ; while gender and occupation were independent influencing factors of nutritional status BMI among healthy individuals (P < 0. 05) .
Conclusion
The dietary nutritional status of the three population groups varied. Targeted health education should be conducted , especially for tuberculosis patients , to address the issue of uneven dietary intake and promote good dietary habits among local tuberculosis patients.
4.Gender differences in mortality following tanscatheter aortic valve replacement (TAVR): a single-centre retrospective analysis from China.
Qi LIU ; Yali WANG ; Yijian LI ; Tianyuan XIONG ; Fei CHEN ; Yuanweixiang OU ; Xi WANG ; Yijun YAO ; Kaiyu JIA ; Yujia LIANG ; Xin WEI ; Xi LI ; Yong PENG ; Jiafu WEI ; Sen HE ; Qiao LI ; Wei MENG ; Guo CHEN ; Wenxia ZHOU ; Mingxia ZHENG ; Xuan ZHOU ; Zhengang ZHAO ; Chen MAO ; Feng YUAN
Chinese Medical Journal 2023;136(20):2511-2513
5.Peri-procedural myocardial injury predicts poor short-term prognosis after TAVR: A single-center retrospective analysis from China.
Qi LIU ; Kaiyu JIA ; Yijun YAO ; Yijian LI ; Tianyuan XIONG ; Fei CHEN ; Yuanweixiang OU ; Xi WANG ; Yujia LIANG ; Xi LI ; Yong PENG ; Jiafu WEI ; Sen HE ; Qiao LI ; Wei MENG ; Guo CHEN ; Wenxia ZHOU ; Mingxia ZHENG ; Xuan ZHOU ; Yuan FENG ; Mao CHEN
Chinese Medical Journal 2023;136(24):3013-3015