ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective To analyze the risk factors and re-intervention strategies for mid- and long-term residual after arterial switch operation (ASO). Methods The clinical data of children with complex congenital heart disease who underwent ASO surgery in Shanghai Children’s Medical Center from January 2006 to June 2022 were retrospectively collected, and the risk factors for mid- and long-term residual after ASO were analyzed. Results A total of 952 children undergoing ASO were enrolled in this study, including 654 males and 298 females with an average age of (102.9±90.1) d and weight of (4.6±1.6) kg. There were 421 patients with D-transposition of the great arteries with intact ventricular septum (D-TGA/IVS), 357 patients with D-transposition of the great arteries with ventricular septal defect (D-TGA/VSD), and 174 patients with right ventricle double outlet combined with subpulmonary ventricular septal defect (Taussig-Bing malformation). Eighty-nine patients died early after the surgery, the mortality rate was 9.3%. The 746 surviving children were regularly followed up after the surgery (follow-up rate 86.4%), with a median follow-up time of 79.4 (12.0-188.0) months. During the follow-up, 53 children underwent surgical re-intervention due to residual, including 33 males and 20 females, with a median age of 62.5 (17.0-214.0) months. The median surgical weight was 19.0 (8.2-86.0) kg, and the mean time of re-intervention was 28.0-170.0 (77.5±45.4) months after the ASO. Residual problems included common trunk and branch stenosis of the pulmonary artery in 23 patients, right ventricular outflow tract (RVOT) obstruction in 11 patients, left ventricular outflow tract obstruction in 6 patients, aortic arch restenosis in 5 patients, aortic insufficiency in 5 patients, residual shunt of ventricular septal defect in 2 patients, and tricuspid valve insufficiency in 1 patient. The early postoperative mortality rate was 3.8% (2/53), with the causes of death being acute myocardial infarction due to coronary artery injury and acute left heart failure, respectively. The mean follow-up time of the surviving children was (52.4±28.6) months, and no mid- and long-term death occurred. Two patients underwent the third operations due to pulmonary restenosis. The multivariate analysis result showed that combined aortic arch surgery and early postoperative RVOT velocity>3 m/s were independent risk factors for mid- and long-term residual after ASO. Conclusion ASO is an ideal procedure for the treatment of D-TGA/IVS, D-TGA/VSD and Taussig-Bing malformations. Combined aortic arch surgery and early postoperative RVOT velocity>3 m/s are independent risk factors for mid- and long-term residual after ASO.

Objective To investigate the mechanism of action and potential biomarkers of Jiangzhi Qingshen capsules in the treatment of dyslipidaemia based on clinical lipid metabolomics.Methods 30 patients with dyslipidaemia from Zhengzhou Hospital of Chinese Medicine were collected as the test group,and their lipid levels before and after taking Jiang Zhi Qing Shen capsule for 12 weeks were compared.Another 30 healthy patients were enrolled in the physical examination department of Zhengzhou Hospital of Chinese Medicine,and metabolomics investigation was carried out on plasma samples of the test group before and after the treatment as well as those of the healthy patients by LC-MS/MS technology.The differences between the groups were compared by multivariate statistical analysis,and the potential biomarkers were identified by HMDB and lipidblast databases,so as to clarify the possible pathways and targets for the treatment of mild dyslipidaemia by Jiangzhi Qingshen capsules.Results Jiangzhi Qingshen capsules could improve patients' blood lipid level,BMI and abdominal circumference significantly(P<0.05).And metabolomics results showed that 29 lipid metabolites in the plasma of the treated patients were dialled back,which involved cholesterol metabolism,fat digestion and absorption,glycerol-phospholipid metabolism and other biological processes.Conclusion The efficacy of Jiangzhi Qingshen capsules in treating dyslipidaemia was confirmed,and its mechanism of action might be related to the regulation of lipid metabolism.Metabolites such as acylcarnitine(Acar),phosphatidylethanolamine(PE)and phosphatidylcholine(PC)were expected to be used as the biomarkers of dyslipidaemia,so as to provide objective scientific basis for the lipid-lowering capsule,and to facilitate the promotion of its application.

OBJECTIVE To explore the risk factors for serum COVID-19 antibodies in the population of Fuzhou to provide scientific basis for prevention and control strategies.METHODS The prospective study and the multi-stage stratified random sampling method were performed to select at least 200 subjects from each of the 12 counties(cit-ies)in Fuzhou.Questionnaires follow-ups and serum collections were conducted in Mar,Jun,Sep,and Dec.2024,respectively.The antibody levels in Dec.were divided into a high protective antibody group(IgG antibody≥50 AU/ml)and a low protective antibody group(IgG antibody≤20 AU/ml).The influencing factors of serum anti-body levels were analyzed by multivariate logistic regression model.RESULTS A total of 2816 subjects were en-rolled.In Mar,1454 subjects with high-protective antibodies were identified.After nine months of follow-up,of the 1454 subjects,344 had high protective antibodies and 369 had low protective antibodies in Dec..There were statistically significant differences in age,presence of typical symptoms after infection,underlying diseases,surgi-cal history,healing time,smoking and drinking histories between the high and low antibody groups(P<0.05).Multivariate logistic regression model showed that older age,underlying diseases,history of surgery,smoking and drinking were risk factors which could reduce antibody levels(P<0.05),while typical symptoms after infec-tion and longer recovery time were protective factors which could increase antibody levels(P<0.05).After the COVID-19 infection in spring of 2024,the serum antibody levels in Fuzhou residents showed the downward trend,especially after Sep.2024,with a more pronounced downward trend.CONCLUSIONS According to the risk factors of COVID-19 antibody levels,prevention and control efforts should be focused on the key population.It is necessa-ry to strengthen health education and carry out vaccination to maintain the levels of immunity to protect population from COVID-19 infection.

OBJECTIVE To explore the risk factors for severe influenza patients in Fuzhou,and to provide reference for the prevention and control of severe influenza.METHODS Information on 412 patients with severe influenza in Fuzhou City with onset dates from Jan.2023 to Jan.2025 was collected from the China Influenza Surveillance In-formation System and the China Disease Prevention and Control Information System.The severe patients were matched 1∶1 with non-severe patients based on gender and age±3 years of the severe patients.Basic infor-mation,vaccination history,clinical symptoms,types of infecting viruses and medical history of both groups of patients were collected to summarize the risk factors for severe illness progression in influenza patients.RESULTS The proportions of obesity,retired personnel,children or students,unemployed individuals and smokers in the se-vere group were all higher than those in the non-severe group,while the vaccination rate(6.07％)was lower than that of the non-severe group(16.50％)(P＜0.001).The proportions of typical symptoms of shortness of breath/dyspnea and altered mental status/convulsions in the severe group were 23.30％and 21.60％,respectively,which were higher than those in the non-severe group(P＜0.001).The proportions of individuals with a history of chro-nic respiratory diseases and cancer/tumors in the severe group were 26.70％and 19.90％,respectively,which were higher than those in the non-severe group(P＜0.001).The proportion of influenza A(H1 N1)in the severe group(58.50％)was higher than that in the non-severe group(39.32％)(P＜0.001).Retired personnel,children or students and unemployed individuals were high-risk groups for the severe influenza,while farmers were a low-risk group.Obesity(OR=1.966),unvaccination(OR=3.738),smoking(OR=1.787),typical symptoms of shortness of breath/dyspnea(OR=3.305),altered mental status/convulsions(OR=4.099),history of chronic respiratory diseases(OR=4.820)and history of cancer/tumors(OR=3.269)and infection with influenza A(H1N1)(OR=6.422)and influenza A(H3N2)(OR=4.441)were risk factors for the severe influenza(P＜0.05).The recovery time in the severe group was 21(6,33)days,which was longer than that in the non-severe group(P＜0.001).CONCLUSIONS Obesity,unvaccination,smoking,typical symptoms of shortness of breath/dyspnea,altered mental status/convulsions,history of chronic respiratory diseases and history of cancer/tumors and infection with influenza A(H1N1)and influenza A(H3N2)are risk factors for severe influenza patients.It is necessary to strengthen influenza prevention and control among the elderly and children,enhance health edu-cation,and continuously promote influenza vaccination among key populations.