Objective To develop a subgroup analysis method that can simultaneously deal with longitudinal data containing measurement errors and dropouts.Methods Subgroup analysis was carried out based on a threshold regression model.A new generalized unbiased estimation equation is constructed by using the independence between repeated measurements to deal with measurement errors and introducing an inverse probability weighting matrix to deal with missing response.Results The computer stochastic simulation shows that the proposed estimation method is effective in dealing with measurement errors and dropouts,and has smaller bias and mean square error than the generalized estimation equation method without correcting measurement errors or dropouts.Conclusion In subgroup analysis,when there are measurement errors in covariables and missing values in response variables,it is usually necessary to deal with the measurement errors and missing values in order to obtain reliable parameter estimation.

Obesity is a very common public health problem.It is a chronic metabolic disease of multi-factorial origin with limited treatment options.Weight loss surgery is considered to be the most effective treatment option for obesity,which can reduce the body weight and improve metabolism.About 60％of obese patients have abnormal changes in blood lipid levels,and dyslipidemia is considered to be an independent risk factor for the development of atherosclerosis-related diseases.Weight loss surgery can significantly improve the serum lipid profile of obese patients and reduce the risk of cardiovascular disease,but its specific mecha-nism is still inconclusive.This paper introduces the possible mechanism of lipid metabolism changes from the aspects of the mass change of visceral tissues,adipokine changes,insulin sensitivity improvement,gastrointes-tinal hormones and intestinal flora,bile acid metabolism pathway,vitamins and trace elements.It is expected to further clarify the lipid-lowering mechanism of weight loss surgery in the future and provide a new way for the treatment of dyslipidemia.

Objective:To explore the feasibility and effect of remote medical education model using online film reading training to improve the ability of ophthalmologists in the Xinjiang Uygur Autonomous Region (hereinafter referred to as "Xinjiang Region" ) in diagnosing fundus diseases.Methods:The three-level film reading training system of Xinjiang Production and Construction Corps system division hospital-Corps Hospital-Peking Union Medical College Hospital was established. From June 2022 to January 2023, 4 159 posterior color fundus images were continuously collected from Department of Ophthalmology of Xinjiang Corps Hospital and 4 divisional hospitals in the Corps medical system. Among them, hypertensive retinopathy, diabetic retinopathy, exudative age-related macular degeneration (AMD), atrophic AMD and retinal vein occlusion were 3 073, 651, 43, 186 and 206 cases, respectively. The images were divided into 3 rounds (first, second and last) according to the proportion of diseases. The doctors who participated in the training (hereinafter referred to as the "training") were 15 ophthalmologists from the Corps Hospital of Xinjiang Region and the division hospital of the Corps system. There were 7 male and 8 female. Age was (38.1±4.0) years. The titles of senior, deputy senior, intermediate and junior are 1, 6, 5 and 3 respectively; Bachelor's degree and master's degree are 13 and 2 respectively. The working time of fundus disease specialty was (9.6±3.3) years. The film reading system training was conducted before the first round of labeling, and after each round of film reading, the doctors of Peking Union Medical College Hospital gave feedback and explanation on the film reading results. The diagnostic consistency, sensitivity and specificity were compared by paired sample t test. Spearman or Pearson correlation analysis was conducted between the improvement of diagnostic level and professional title, education, age and working hours of ocular fundus disease. Results:All the participating doctors completed the first, second and last reading. After each round of film reading, the film reading summary was carried out for 2 hours. The average diagnostic agreement rates of participating physicians were 53.0%, 67.0% and 75.0%, respectively. The sensitivity and specificity were 0.38, 0.69, 054 and 0.66, 0.85, 0.96, respectively. There was significant difference between the first and last examination ( P<0.001). The sensitivity of the second reading was significantly higher than that of the first reading, and the sensitivity of the last reading was significantly lower than that of the second reading, with statistical significance ( P<0.05). The specificity of the second reading was significantly higher than that of the first reading, and the last reading was significantly higher than that of the second reading, with statistical significance ( P<0.05). There was no significant correlation ( P>0.05) between the improvement of diagnostic level of participating physicians and educational background ( Rho=0.07), professional title ( Rho=0.13), age ( r=0.20), and working time of ophthalmofundus disease specialty ( r=0.26). Conclusions:Relying on the three-level online telemedicine training, it can improve the ability of ophthalmologists in Xinjiang region to diagnose fundus diseases. The preliminary telemedicine education model has demonstrated potential for feasibility and effectiveness in remote areas with inadequate medical resources.

Objective:To explore the role of serum cholinesterase (CHE) levels in the prognosis of patients with acute decompensated heart failure (ADHF).Methods:Total of 244 consecutive patients with ADHF who were admitted to the emergency department and were successfully discharged were prospectively enrolled from January 2018 to June 2020. Patients were divided into groups according to the first and third quartile of CHE level and the clinical data, laboratory tests and other nutritional indices were recorded after discharge, and then were followed up. The primary end points were the composites of cardiovascular death and hospitalization for worsening HF (composite end points). The secondary end points were all-cause mortality and cardiovascular death. Cox proportional risk analysis, time-dependent Cox regression model or stratified cox regression were used to identify the risk of primary and secondary endpoints. Clinical, biomarker and the compound models of clinical and biomarker were constructed. Kaplan-Meier method was used to plot the survival curves of different groups and compare their differences. Receiver Operating characteristics (ROC) curves were used to compare the area under the curve for CHE levels and other nutritional or prognostic indicators to identify composite end-point events.Results:During a follow-up period of 350(100,683) days, 158 patients reached the composite end points. In the multivariable Cox analysis, cholinesterase level was significantly associated with the composite end points after adjustment for major confounders. Cox proportional risk analysis or time-dependent Cox regression model showed that CHE level was significantly associated with the composite end points, all-cause mortality and cardiovascular mortality in both clinical, biomarker and composite models (all P< 0.05). A Kaplan–Meier analysis revealed that patients with low cholinesterase levels had significantly greater risk of reaching the composite end points than those with middle or high cholinesterase levels (78.1% vs 66.7% vs. 46.7%, P<0.001); Cholinesterase level showed the largest area under the receiver operating characteristic curve (AUROC) of 0.736 (95% CI, 0.664-0.888) for prediction of the composite end points among other nutritional indices. The AUROC of the Global Meta-Analysis Group Chronic Heart Failure (MAGGIC) Risk Score for prediction of the composite end points was increased from 0.704 to 0.762 ( P=0.038), when cholinesterase level was added. Conclusions:Cholinesterase may serve as a simple and effective prognostic marker for predicting adverse outcomes in ADHF patients.

Objective:To explore the feasibility and effect of remote medical education model using online film reading training to improve the ability of ophthalmologists in the Xinjiang Uygur Autonomous Region (hereinafter referred to as "Xinjiang Region" ) in diagnosing fundus diseases.Methods:The three-level film reading training system of Xinjiang Production and Construction Corps system division hospital-Corps Hospital-Peking Union Medical College Hospital was established. From June 2022 to January 2023, 4 159 posterior color fundus images were continuously collected from Department of Ophthalmology of Xinjiang Corps Hospital and 4 divisional hospitals in the Corps medical system. Among them, hypertensive retinopathy, diabetic retinopathy, exudative age-related macular degeneration (AMD), atrophic AMD and retinal vein occlusion were 3 073, 651, 43, 186 and 206 cases, respectively. The images were divided into 3 rounds (first, second and last) according to the proportion of diseases. The doctors who participated in the training (hereinafter referred to as the "training") were 15 ophthalmologists from the Corps Hospital of Xinjiang Region and the division hospital of the Corps system. There were 7 male and 8 female. Age was (38.1±4.0) years. The titles of senior, deputy senior, intermediate and junior are 1, 6, 5 and 3 respectively; Bachelor's degree and master's degree are 13 and 2 respectively. The working time of fundus disease specialty was (9.6±3.3) years. The film reading system training was conducted before the first round of labeling, and after each round of film reading, the doctors of Peking Union Medical College Hospital gave feedback and explanation on the film reading results. The diagnostic consistency, sensitivity and specificity were compared by paired sample t test. Spearman or Pearson correlation analysis was conducted between the improvement of diagnostic level and professional title, education, age and working hours of ocular fundus disease. Results:All the participating doctors completed the first, second and last reading. After each round of film reading, the film reading summary was carried out for 2 hours. The average diagnostic agreement rates of participating physicians were 53.0%, 67.0% and 75.0%, respectively. The sensitivity and specificity were 0.38, 0.69, 054 and 0.66, 0.85, 0.96, respectively. There was significant difference between the first and last examination ( P<0.001). The sensitivity of the second reading was significantly higher than that of the first reading, and the sensitivity of the last reading was significantly lower than that of the second reading, with statistical significance ( P<0.05). The specificity of the second reading was significantly higher than that of the first reading, and the last reading was significantly higher than that of the second reading, with statistical significance ( P<0.05). There was no significant correlation ( P>0.05) between the improvement of diagnostic level of participating physicians and educational background ( Rho=0.07), professional title ( Rho=0.13), age ( r=0.20), and working time of ophthalmofundus disease specialty ( r=0.26). Conclusions:Relying on the three-level online telemedicine training, it can improve the ability of ophthalmologists in Xinjiang region to diagnose fundus diseases. The preliminary telemedicine education model has demonstrated potential for feasibility and effectiveness in remote areas with inadequate medical resources.

Objective To investigate the prevalence and genotypes of Cryptosporidium spp. and Giardia lamblia in dogs and cats from a pet hospital in Shanghai Municipality. Methods A total of 145 fresh fecal samples were collected from pet dogs and cats in a pet hospital in Shanghai Municipality during the period from November 2021 to June 2022, including 99 dog fecal samples and 46 cat fecal samples. The small subunit ribosomal ribonucleic acid (SSU rRNA) gene of Cryptosporidium and the triose phosphate isomerase (TPI) gene of G. lamblia were amplified using nested PCR assay, and the positive amplification products were sequenced from both directions. The sequence assembly was performed using the software Clustal X 2.1, and sequence alignment was conducted using BLAST. A phylogenetic tree was created with the Neighbor-Joining method using MEGA 11.0 to identify parasite species or genotype. Results The overall prevalence of Cryptosporidium and G. lamblia was 20.00% (29/145) in 145 pet dog and cat fecal samples, with the prevalence of 0.69% (1/145) and 19.31% (28/145) in Cryptosporidium and G. lamblia, respectively. G. lamblia was only detected in dog fecal samples, with prevalence of 18.18% (18/99), while the detection rates of Cryptosporidium and G. lamblia were 2.17% (1/46) and 21.74% (10/46) in cat fecal samples. Nucleotide sequence analysis showed that one Cryptosporidium positive sample was characterized as C. felis, and 28 G. lamblia positive samples were all characterized as Giardia assemblage A, which showed 100% sequence homology with human isolates of Giardia. Phylogenetic analysis revealed that the sequences obtained in this study belonged to the same branch with the reported Giardia assemblage A. Conclusions Cryptosporidium and G. lamblia infection was prevalent in pet dogs and cats from the study pet hospital in Shanghai Municipality, and there is a zoonotic risk for the species and genotype. Intensified surveillance of Cryptosporidium and Giardia infection is recommended in pets and their owners, and improved management of pet keeping is required.

Objective:To investigate the effects of self-help mindfulness-based stress reduction (MBSR) training on illness uncertainty andsleep quality in patients with atrial fibrillation (AF) after radiofrequency ablation. To provide the basis for improving the quality of life of these patients.Methods:This was a randam controlled Test. A convenient sampling method was used to select 90 patients with atrial fibrillation who underwent radiofrequency ablation in the First Peoples Hospital of Changzhou from January 2021 to December 2021. According to the random number table method. They were divided into the experimental group and the control group, with 45 cases in each group. The control group received routine nursing, and the observation group received home-based self-help MBSR training based on the routine nursing. Five Facet Mindfulness Questionnaire (FFMQ), Mishel Uncertainty in Illness Scale and the Pittsburgh Sleep Quality Index Scale (PSQI) were used to evaluate the scores of each scale before intervention, 8 weeks and 3 months after intervention.Results:A total of 42 cases were completed in the experimental group and 41 cases in the control group. Repeated measurement analysis of variance showed that there were interaction effect ( F interaction = 90.98, 46.27, 39.61, all P<0.01), time effect ( F time = 298.67, 179.06, 76.32, all P<0.01) and inter-group effect ( F intergroup = 19.88, 4.07, 18.70, all P<0.05) on mindfulness score, disease uncertainty score, total score of sleep quality and scores of all dimensionsin between the two groups. Simple effect analysis showed that scores of all scales in experimental groups were significantly better than those in control group after the intervention ( F values were 11.75 to 66.49, all P<0.01). Conclusion:Self-help MBSR training can improve the level of mindfulness, reduce the feeling of uncertainty and improve the quality of sleep in patients with atrial fibrillation after radiofrequency ablation.

Objective:To determine whether the blood urea nitrogen to serum albumin (B/A) ratio was a useful prognostic factor of mortality in the patients with acute non-variceal upper gastrointestinal bleeding (ANVUGIB).Methods:Totally 1 120 patients with acute upper gastrointestinal bleeding (VUGIB) admitted to the Emergency Department from January 2019 to December 2021 were prospectively and continuously collected and 449 eligible patients with acute non-varicose upper gastrointestinal tract were finally enrolled. The clinical data, laboratory tests and endoscopic results of the patients were recorded, and the data from the 30-day survival group and the non-survival group were compared and analyzed.Results:Significant differences were observed in age, mean arterial pressure, pulse rate, albumin levels, total protein levels, blood urea nitrogen levels, glucose, Glasgow-Blatchford score (GBS), Rockall, and AIMS65 scores between the survival and non-survival groups (all P <0.05). The B/A ratio in the non-survival group was significantly higher than that in the survival group [(24.9 ± 16.4) vs. (9.0 ± 8.6) mg/g, P<0.001]. Receiver operating characteristic (ROC) curve showed that the best cutoff value of B/A ratio for predicting 30-day death was 32.08 mg/g, with a sensitivity of 0.776 and specificity of 0.823. There was a significant difference in the 30-day Kaplan-Meier survival curve between patients with B/A ratio ≥32.08 mg/g and those with B/A ratio <32.08 mg/g (Log Rank 32.229, P<0.001). Multivariate logistic regression analysis revealed that the B/A ratio (≥32.08 mg/g) was associated with 30-day mortality ( OR=4.87, 95% CI: 1.94-6.85, P<0.001). Area under the ROC curve (AUC) for B/A ratio, GBS, Rockall and AIMS65 scores for predicting 30-day mortality were 0.855 (95% CI: 0.807-0.902), 0.849 (95% CI: 0.796-0.901), 0.657 (95% CI: 0.576-0.737), and 0.828 (95% CI: 0.774-0.883), respectively. Conclusions:The B/A ratio is a simple but potentially useful prognostic factor of mortality in the ANVUGIB patients.

【Objective】 To investigate the death time of patients with coronavirus disease 2019 (COVID-19). 【Methods】 The death time was calculated and analyzed using individual data and aggregated data through the daily notification of the epidemic situation and the death cases published on the website of the Heath Commission of China and provinces. 【Results】 In the 153 patients who died of COVID-19, the shortest time from onset to death was 4 days and the longest time was 50 days with the mean±standard deviation of (16.7±9.2) days. The median was 14 days and the 95% confidence interval was 4.6-42.9. The shortest time from admission to death was 1 day and the longest time was 50 days with the mean ± standard deviation of (12.1±7.8) days. The median was 11 days and the 95% confidence interval was 2-32.8. The time curve from diagnosis to death was skewed. The death time from diagnosis to death was 0 to 48 days with the mean ± standard deviation of (11.1±8.9) days. The median was 9 days, the interquartile interval was 10.5 days, and the 95% confidence interval was 0-35.4. It took 3 days from onset to admission and 1 day from admission to diagnosis. Aggregated data showed that the time from diagnosis to death of COVID-19 patients in China, China (except Hubei Province), Hubei Province and Wuhan City was 8, 9, 6 and 6 days, respectively. 【Conclusion】 The time from diagnosis to death of COVID-19 patients varied significantly, with the median time of 6-9 days in different regions.

Objective:To investigate the difference of metabolomics between acute heart failure (AHF) patients and control. To find and validate new metabolic biomarkers.Methods:This was a single-center case-control study which included 89 acute heart failure patients admitted to the emergency department of Henan Provincial People's Hospital from January 2018 to June 2019. Eighty people without heart failure and diastolic dysfunction were enrolled as control group whose age and sex were matched to the study group. The fasting blood samples were collected from femoral arterial. Qualitative and quantitative analyses of plasma metabolites were performed in 2 groups by high performance liquid chromatography tandem mass spectrometry (UHPLC-MS), Orthogonal partial least squares-discriminant analysis (OPLS-DA) model and ROC curve method were applied.Results:Compared with the control group, we found that AHF group had higher likelihood to groups with coronary heart disease (37% vs. 7%, P<0.001), hypertension (58% vs. 28%, P<0.001), diabetes (33% vs. 18%, P=0.033), atrial fibrillation (24% vs. 4%, P<0.001), smoking history (42% vs. 18%, P=0.001), and that AHF group had higher creatinine level [(121.6 ± 78.4) vs. (69.0 ± 21.0), P<0.001], higher urea level [(11.5 ± 7.6) vs. (6.2 ± 2.0), P<0.001], higher heart rate [(92 ± 23) vs. (78 ± 14), P<0.001], hypoproteinemia [(32.4 ± 5 .2) vs. (40.4 ± 2.2), P<0.001], and significantly increased BNP level [(4 200 ± 5 229) vs. (100 ± 68), P<0.001], lower left ventricular ejection fraction[(45 ± 8) vs. (57 ± 6), P<0.001], low serum sodium level ( P<0.001). The metabolites of AHF group were significantly different from those of the control group. The metabolites involved amino acids, fatty acids, lipids, nucleosides and their derivatives. Adenine, N-acetyl-L-glutamic, pseudouridine and Gamma-Glutamylcysteine had certain diagnostic value for AHF comparing to control. The AUC were 0.995, 0.932, 0.920 and 0.900. And the AUC value for BNP diagnosis of AHF is 0.978. Conclusions:There were significant differences in metabolism between AHF group and control group including multiple substances. Adenine, N-acetyl-L-glutamic, pseudouridine and Gamma-Glutamylcysteine has similar diagnostic value compared with BNP for diagnosing AHF.