ObjectiveTo analyze the epidemiological characteristics and influencing factors of SARS-CoV-2 reinfection by conducting follow-up investigations among community residents who experienced their first SARS-CoV-2 infection between March and June 2022, so as to provide a scientific basis for predicting future epidemic trends and adjusting prevention and control strategies. MethodsA cohort study was conducted in Xuhui District, Shanghai. A total of 1 208 individuals with a documented primary SARS-CoV-2 infection between March and June 2022 were enrolled and followed-up longitudinally. Data were collected using structured questionnaire surveys to assess the reinfection rate, incidence density, and clinical manifestations of SARS-CoV-2 reinfection. A logistic regression model was used to analyze the influencing factors of SARS-CoV-2 reinfection. ResultsA total of 497 SARS-CoV-2 reinfection cases were observed among the 1 208 research subjects, with a reinfection rate of 41.14% and an incidence density of 0.63 cases per 1 000 person-days. The cumulative reinfection rates at 6, 9, 12, 15, and 18 months following the initial infection were 0.08%, 15.31%, 19.04%, 33.53%, and 38.25%, respectively. Compared with the primary infection, reinfection was more likely to be symptomatic, with a greater severity of fever, dry cough, sore throat, and runny nose. Being female, younger age, and symptom duration ≥7 days during the primary infection were identified as influencing factors for SARS-CoV-2 reinfection, while a higher socioeconomic status can reduce the risk of SARS-CoV-2 reinfection. ConclusionSARS-CoV-2 reinfection is relatively common and often symptomatic. Age, gender, income level, and the duration of symptoms during the primary infection are identified as infuencing factors for SARS-CoV-2 reinfection. Continuous monitoring of reinfection in the population is recommended, along with the development of effective strategies to mitigate the impact of reinfection.

Objective:To identify the change trajectory of intrinsic capacity in people aged ≥50 years in Shanghai and explore the impact of intrinsic capacity trajectory change on overall function and dalily life activities in this population.Methods:The longitudinal data from round 1 to 3 Study of Global Ageing and Adult Health in Shanghai were used. The total intrinsic ability scores from five dimensions of cognition, psychology, sensory, vitality and locomotion were calculated. The censored normal model of group-based trajectory was used to identify the trajectory of intrinsic capacity change over time. Linear regression model and multivariate logistic regression model were used to analyse the effects of different levels intrinsic capacity trajectory on the scores of the WHO Disability Assessment Schedule (WHODAS), the activity of daily living (ADL) and the instrumental activities of daily living (IADL).Results:A total of 2 302 study participants aged ≥50 years with 3 round complete data were included in this study, and 3 levels of intrinsic capacity trajectory were identified, low-level trajectory (9.3%), medium-level trajectory (41.7%), and high-level trajectory (49.0%). Compared with the high-level group, the medium-level and low-level groups had higher WHODAS scores, which increased by 3.578 (95% CI: 2.028-5.129) and 12.620 (95% CI: 9.951-15.289), respectively, and those with more severe disability and those in the low-level group were at higher risk for severe difficulty in ADLs ( OR=12.450, 95% CI: 4.310-35.966) and IADLs ( OR=5.479, 95% CI: 1.311-22.904). Conclusions:Heterogeneity in trajectory of intrinsic capacity exists in people aged ≥50 years in Shanghai. Middle-aged and elderly people with low initial level and rapid decline trajectory of intrinsic capacity are at greater risk for the decline of daily life ability and the increase of disability. It is necessary to strengthen the long-term dynamic monitoring and evaluation of the change trajectory of intrinsic capacity in this population.

ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

Objective To investigate the distribution of Streptococcus,sensitivity to commonly used antibiotics,and prognosis of the patients with bloodstream infections,and provide evidence for early diagnosis and selection of antibiotics.Methods The Streptococci i-solated from the blood samples of the First Affiliated Hospital of Nanjing Medical University from 2017 to 2022 were collected and di-vided into α-and β-hemolytic Streptococci according to the type of hemolysis.Their sensitivity to commonly used antibiotics was ana-lyzed.The differences in clinical data and prognosis between the two groups were also compared.Results A total of 314 strains of Streptococcus were isolated from 305 patients,including 270 strains of α-hemolytic Streptococcus and 44 β-hemolytic Streptococcus.The results of the drug sensitivity test showed that the proportion of Streptococcus strains with a diameter of 17-19 mm in the inhibition zone of vancomycin increased year by year.The positive alarm time of blood culture for β-hemolytic Streptococcus was significantly shorter than that for α-hemolytic Streptococcus(P＜0.001).Using 10.5 hours as the diagnostic threshold could assist in distinguishing blood-stream infections caused by α-and β-hemolytic Streptococcus.The overall mortality rate of patients with streptococcal bloodstream infec-tion was 15.1％,and there was no statistically significant difference in the mortality rate between the two groups(P=0.813).Conclu-sion The main Streptococcus causing bloodstream infections in our hospital is α-hemolytic Streptococcus.There are differences in the antimicrobial sensitivity and clinical characteristics among patients with different streptococcal bloodstream infections.The positive a-larm time of blood culture can assist in distinguishing the type of streptococcal bloodstream infections.In addition,the diameter of the inhibition zone of vancomycin against Streptococcus has drifted towards the breakpoint of drug resistance.

Objective:To identify the change trajectory of intrinsic capacity in people aged ≥50 years in Shanghai and explore the impact of intrinsic capacity trajectory change on overall function and dalily life activities in this population.Methods:The longitudinal data from round 1 to 3 Study of Global Ageing and Adult Health in Shanghai were used. The total intrinsic ability scores from five dimensions of cognition, psychology, sensory, vitality and locomotion were calculated. The censored normal model of group-based trajectory was used to identify the trajectory of intrinsic capacity change over time. Linear regression model and multivariate logistic regression model were used to analyse the effects of different levels intrinsic capacity trajectory on the scores of the WHO Disability Assessment Schedule (WHODAS), the activity of daily living (ADL) and the instrumental activities of daily living (IADL).Results:A total of 2 302 study participants aged ≥50 years with 3 round complete data were included in this study, and 3 levels of intrinsic capacity trajectory were identified, low-level trajectory (9.3%), medium-level trajectory (41.7%), and high-level trajectory (49.0%). Compared with the high-level group, the medium-level and low-level groups had higher WHODAS scores, which increased by 3.578 (95% CI: 2.028-5.129) and 12.620 (95% CI: 9.951-15.289), respectively, and those with more severe disability and those in the low-level group were at higher risk for severe difficulty in ADLs ( OR=12.450, 95% CI: 4.310-35.966) and IADLs ( OR=5.479, 95% CI: 1.311-22.904). Conclusions:Heterogeneity in trajectory of intrinsic capacity exists in people aged ≥50 years in Shanghai. Middle-aged and elderly people with low initial level and rapid decline trajectory of intrinsic capacity are at greater risk for the decline of daily life ability and the increase of disability. It is necessary to strengthen the long-term dynamic monitoring and evaluation of the change trajectory of intrinsic capacity in this population.

Objective To investigate the distribution of Streptococcus,sensitivity to commonly used antibiotics,and prognosis of the patients with bloodstream infections,and provide evidence for early diagnosis and selection of antibiotics.Methods The Streptococci i-solated from the blood samples of the First Affiliated Hospital of Nanjing Medical University from 2017 to 2022 were collected and di-vided into α-and β-hemolytic Streptococci according to the type of hemolysis.Their sensitivity to commonly used antibiotics was ana-lyzed.The differences in clinical data and prognosis between the two groups were also compared.Results A total of 314 strains of Streptococcus were isolated from 305 patients,including 270 strains of α-hemolytic Streptococcus and 44 β-hemolytic Streptococcus.The results of the drug sensitivity test showed that the proportion of Streptococcus strains with a diameter of 17-19 mm in the inhibition zone of vancomycin increased year by year.The positive alarm time of blood culture for β-hemolytic Streptococcus was significantly shorter than that for α-hemolytic Streptococcus(P＜0.001).Using 10.5 hours as the diagnostic threshold could assist in distinguishing blood-stream infections caused by α-and β-hemolytic Streptococcus.The overall mortality rate of patients with streptococcal bloodstream infec-tion was 15.1％,and there was no statistically significant difference in the mortality rate between the two groups(P=0.813).Conclu-sion The main Streptococcus causing bloodstream infections in our hospital is α-hemolytic Streptococcus.There are differences in the antimicrobial sensitivity and clinical characteristics among patients with different streptococcal bloodstream infections.The positive a-larm time of blood culture can assist in distinguishing the type of streptococcal bloodstream infections.In addition,the diameter of the inhibition zone of vancomycin against Streptococcus has drifted towards the breakpoint of drug resistance.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.