Objective: To investigate the association between occupational stress and health-related quality of life (HRQoL) among grassroots medical personnels, so as to provide the reference for improving their physical and mental well-being. Methods: From March to May 2024, medical staff from nine street community health service centers in Liangxi District, Wuxi City, Jiangsu Province were selected by a convenient sampling method. Basic information was collected through questionnaire surveys. Occupational stress was assessed using the Core Occupational Stress Measurement Scale. Health utility value and the Visual Analog Scale (EQ-VAS) score were investigated using the European Quality of Life Five-Dimension Five-Level (EQ-5D-5L) questionnaire. The association between occupational stress and HRQoL was analyzed using multiple linear regression model. Results: A total of 909 individuals were surveyed, including 141 males (15.51%) and 768 females (84.49%). The average occupational stress score was (24.41±9.45) points. The average health utility value was (0.96±0.07), with 372 individuals (40.92%) experiencing health problems in at least one dimension. The primarily problems were pain/discomfort and anxiety/depression, with 249 (27.39%) and 265 (29.15%) individuals, respectively. The average EQ-VAS score was (86.62±13.84) points. Multiple linear regression analysis revealed that occupation (nurses, β'=0.101; pharmacists, β'=0.101; medical technicians, β'=0.090), professional title (intermediate, β'=-0.079; associate senior, β'=-0.081; senior, β'=-0.101), and occupational stress (β'=-0.288) were influencing factors for health utility value. Occupation (nurses, β'=0.087; pharmacists, β'=0.146; medical technicians, β'=0.073) and occupational stress (β'=-0.226) were influencing factors for EQ-VAS score. After adjusting for variables such as gender, age, educational level, occupation, professional title, work experience, and monthly income, grassroots medical personnels with higher occupational stress score had lower health utility values (β'=-0.296) and EQ-VAS score (β'=-0.237). Conclusions Occupational stress can reduce the HRQoL among grassroots medical personnels. It is recommended to regularly assess occupational stress levels and intervene early to address their psychological and physical health issues.

Objective To construct a Nomogram prediction model for short-term prognosis of coronary heart disease(CAD)patients with hypertension after percutaneous coronary intervention(PCI)based on re-nin-angiotensin-aldosterone(ALD)system(RAAS)and Syntax score of coronary artery disease,so as to pro-vide a favorable basis for improving the prognosis of patients.Methods A total of 310 CAD patients with hy-pertension admitted to Jintang Hospital of West China Hospital of Sichuan University from June 2019 to April 2023 were selected.According to the ratio of 7:3,310 patients were randomly divided into a training set(217 cases)and a validation set(93 cases).All patients underwent PCI and were followed up for 3 months.The training set was further divided into poor prognosis group(n=68)and good prognosis group(n=148)ac-cording to the incidence of major adverse cardiovascular events(MACE).Multivariate Logistic regression model was used to analyze the risk factors of poor prognosis.The Nomogram prediction model was construc-ted by the R language in the training set,and the calibration curve and receiver operating characteristic(ROC)curve were used to verify the prediction efficiency of the model in the validation set.Results There was no significant difference in the general data between the training set and the validation set(P>0.05).MACE oc-curred in 68 cases(31.34％)in the training set and 28 cases(30.11％)in the validation set.There were sig-nificant differences in age,left ventricular ejection fraction,creatine kinase isoenzyme(CK-MB),number of diseased vessels,renin activity(PRA),angiotensin Ⅱ(ANG Ⅱ),ALD,preoperative Syntax score and N-termi-nal pro-B-type brain natriuretic peptide(NT-proBNP)between the good prognosis group and the poor prog-nosis group(P<0.05).Pearson correlation analysis showed that PRA,ANGⅡ,ALD were positively correla-ted with preoperative Syntax score(r=0.613,0.728,0.695,P<0.05).Lasso regression analysis included age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD,preoperative Syntax score.Multivariate Logistic regression analysis showed that age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD and preoperative Syntax score were independent influencing factors for poor short-term prognosis of PCI treatment(OR=4.448,5.153,4.571,3.875,4.914,4.468,5.224,P<0.05).The ROC curve showed that the area under the curve(AUC)of the Nomogram prediction model for poor short-term prognosis of CAD patients with hypertension after PCI in the training set and validation set were 0.884(95％CI 0.837-0.931)and 0.885(95％CI 0.818-0.953),respectively.The calibration curve showed that the prediction probability of poor short-term outcome of PCI in the training set and the validation set was basically consistent with the actual probability.Conclusion The short-term prognosis of CAD patients with hypertension after PCI is affected by age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD,preoperative Syntax score and other factors.The Nomogram prediction model based on the above factors has high predictive value and good predictive utility.

Objective:To explore the correlation between defecation disorders and diet in patients undergoing sphincter-preserving surgery for rectal cancer.Methods:This study was a cross-sectional survey. From 2021 to 2023, convenience sampling was used to select 159 patients with rectal cancer who underwent sphincter-preserving surgery at Peking University Third Hospital as participants. The General Information Questionnaire, Food Frequency Questionnaire, and Defecation Questionnaire were used for the survey.Results:The incidence of defecation disorders in 159 patients with rectal cancer after sphincter-preserving surgery was 74.2% (118/159), and the types of defecation disorders with high to low incidence were "frequent defecation (96/159, 60.4%) " "constipation (37/159, 23.3%) " "diarrhea (33/159, 20.8%) " and "fecal incontinence" (24/159, 15.1%). Diets were clustered into 9 categories (vegetables and fruits, carbohydrate staple foods, red meat foods, gas producing foods, dairy products, white meat foods, dessert foods, high-fat foods, and spicy and stimulating foods). Binomial Logistic regression analysis showed that red meat foods and gas producing foods were the influencing factors of frequent defecation ( P<0.05), red meat foods was the influencing factor of diarrhea ( P<0.05), and carbohydrate staple foods was the influencing factor of fecal incontinence ( P<0.05) . Conclusions:The incidence of defecation disorders in patients with rectal cancer after sphincter-preserving surgery is relatively high, and the intake of red meat foods, gas producing foods, and carbohydrate staple foods should be appropriately controlled. Clinical medical and nursing staff should pay close attention to the diet of elderly patients.

Objective:To explore the incidence of low anterior resection syndrome (LARS) in patients undergoing sphincter-preserving surgery for rectal cancer and analyze related factors.Methods:This study was a cross-sectional survey. From 2021 to 2023, convenience sampling was used to select 195 patients with rectal cancer who underwent sphincter-preserving surgery at Peking University Third Hospital as participants. The patients were surveyed using the General Information Questionnaire, LARS Scale, Visual Analog Score, and Chinese version of Insomnia Severity Index.Results:A total of 195 questionnaires were distributed, and 156 valid questionnaires were collected, with a valid response rate of 80.00% (156/195). The incidence of LARS in 156 rectal cancer patients with sphincter-preserving surgery was 36.54% (57/156), and the incidence of severe LARS was 15.38% (24/156). Binomial Logistic regression analyses showed that gender ( OR=0.445, P=0.034) and preoperative neoadjuvant chemoradiotherapy ( OR=6.343, P<0.01) were influencing factors for the occurrence of LARS in patients with rectal cancer after sphincter-preserving surgery. Preoperative neoadjuvant chemoradiotherapy ( OR=3.322, P=0.047) and intraoperative prophylactic stoma ( OR=4.855, P=0.035) were influencing factors for severe LARS. LARS score was positively correlated with anxiety score ( r=0.238, P=0.003) and total insomnia score ( r=0.168, P=0.036) in patients with rectal cancer who underwent sphincter-preserving surgery. Conclusions:Preoperative neoadjuvant chemoradiotherapy is an independent risk factor for postoperative LARS and severe LARS in rectal cancer patients undergoing sphincter-preserving surgery. LARS is correlated with patients' anxiety and insomnia.

Objective:To investigate the types and number of symptom clusters in patients undergoing sphincter-preserving surgery for rectal cancer and explore the influencing factors of these symptom clusters.Methods:Totally 192 patients who underwent sphincter-preserving surgery for rectal cancer in the Department of General Surgery at Peking University Third Hospital between January 2021 and January 2023 were selected by convenience sampling. A general information questionnaire, Post-sphincter-preserving Surgery Symptom Questionnaire, and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) were used for data collection.Results:A total of 192 questionnaires were distributed, with 159 valid questionnaires returned. Exploratory factor analysis on 18 symptoms with an incidence rate of over 10.0% identified five primary symptom clusters: the psychological symptom cluster, increased defecation cluster, fatigue-pain cluster, sleep disturbance cluster, and constipation-related cluster. Logistic regression analysis showed that postoperative duration was an influencing factor for the psychological symptom cluster ( P<0.05) ; preoperative radiotherapy and postoperative duration were influencing factors for the increased defecation cluster ( P<0.05) ; postoperative chemotherapy was an influencing factor for the fatigue-pain cluster ( P<0.05) ; and weekly sedentary time was an influencing factor for the sleep disturbance cluster ( P<0.05) . Conclusions:Patients undergoing sphincter-preserving surgery for rectal cancer experience multiple symptom clusters. Preoperative radiotherapy and prolonged sedentary behavior increase the risk of symptom clusters, and different postoperative periods are associated with varying risks for different symptom clusters. However, physical activity levels do not appear to influence the occurrence of symptom clusters. Healthcare providers should implement targeted interventions based on the symptom clusters and their influencing factors to reduce the incidence of symptoms in patients.

Dilated cardiomyopathy(DCM)has a concealed onset with left or even whole heart enlargement as the main imaging manifestation.It is a common primary disease of heart failure and arrhythmia.With the continuous deepening of research in recent years,the intrinsic molecular mechanism of regulatory cell death(RCD)has gradually become clear.Researchers have found that the RCD mode plays a very important role in the occurrence and development of DCM.At present,the RCD modes involved in DCM mainly include apoptosis,necrotic apoptosis,pyroptosis,iron death,autophagy,and cuproptosis,and a certain correlation exists among them,which interact and regulate each other.This article provides an overview of the current research status on the mechanisms of the six RCD modes involved in DCM to provide a reference for future basic research and clinical applications.

Objective:To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China.Methods:This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis.Results:Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) ( Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS ( Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion:Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.