This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

Objective:To develop a quality assessment index system for infection prevention and control in integrated medical and elderly care facilities, providing methods for assessing infection control quality and a theoretical basis for enhancing infection prevention and control capabilities.Methods:This study initially constructed a framework for the quality evaluation index system through literature reviews, work specifications and standards and expert interviews. The Delphi method was employed to conduct two rounds of consultations with 19 experts to evaluate the necessity, feasibility, stability, and sensitivity of the indicators. The expert′s active coefficient, authority coefficient, degree of consensus, and coordination were statistically analyzed. The indicators were revised based on expert opinions to finalize the evaluation index system. The weights of the evaluation dimensions were determined using the Analytic Hierarchy Process (AHP), while the weights of the indicators were determined using the proportional allocation method. Reliability was assessed via Cronbach′s α coefficient, and content validity was verified through the Content Validity Index ( CVI). Results:After two rounds of expert consultation, the expert positive coefficient, expert authority coefficient ( Cr) and expert coordination coefficient Kendall′s W was 100%, 0.992 and 0.634 ( P<0.001), indicating high expert authority, good concentration and coordination of opinions. The assessment index system for infection prevention and control quality in integrated medical and elderly care facilities was ultimately constructed, comprising three primary indicators, 18 secondary indicators and 68 tertiary indicators. Among the primary indicators, the process quality had the highest weight of 0.338. Within the process quality, the secondary indicators with the highest weights were infection control material allocation, hand hygiene quality and the management of cluster outbreaks. A total of 11 unique evaluation indicators for integrated medical and elderly care facilities were established, with the highest weighted indicator being the rate of standardized surveillance of infection-related risk factors. Reliability and validity analyses demonstrated that the overall Cronbach′s α coefficient of the system was 0.991, and the Scale-level Content Validity Index was 0.936, confirming good reliability and validity. Conclusion:The evaluation index system constructed in this study can serve as an effective assessment tool for the quantitative evaluation of infection control quality in integrated medical and elderly care facilities. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.

Objective:To develop a quality assessment index system for infection prevention and control in integrated medical and elderly care facilities, providing methods for assessing infection control quality and a theoretical basis for enhancing infection prevention and control capabilities.Methods:This study initially constructed a framework for the quality evaluation index system through literature reviews, work specifications and standards and expert interviews. The Delphi method was employed to conduct two rounds of consultations with 19 experts to evaluate the necessity, feasibility, stability, and sensitivity of the indicators. The expert′s active coefficient, authority coefficient, degree of consensus, and coordination were statistically analyzed. The indicators were revised based on expert opinions to finalize the evaluation index system. The weights of the evaluation dimensions were determined using the Analytic Hierarchy Process (AHP), while the weights of the indicators were determined using the proportional allocation method. Reliability was assessed via Cronbach′s α coefficient, and content validity was verified through the Content Validity Index ( CVI). Results:After two rounds of expert consultation, the expert positive coefficient, expert authority coefficient ( Cr) and expert coordination coefficient Kendall′s W was 100%, 0.992 and 0.634 ( P<0.001), indicating high expert authority, good concentration and coordination of opinions. The assessment index system for infection prevention and control quality in integrated medical and elderly care facilities was ultimately constructed, comprising three primary indicators, 18 secondary indicators and 68 tertiary indicators. Among the primary indicators, the process quality had the highest weight of 0.338. Within the process quality, the secondary indicators with the highest weights were infection control material allocation, hand hygiene quality and the management of cluster outbreaks. A total of 11 unique evaluation indicators for integrated medical and elderly care facilities were established, with the highest weighted indicator being the rate of standardized surveillance of infection-related risk factors. Reliability and validity analyses demonstrated that the overall Cronbach′s α coefficient of the system was 0.991, and the Scale-level Content Validity Index was 0.936, confirming good reliability and validity. Conclusion:The evaluation index system constructed in this study can serve as an effective assessment tool for the quantitative evaluation of infection control quality in integrated medical and elderly care facilities. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.

Background::Total human immunodeficiency virus (HIV) DNA and integrated HIV DNA are widely used markers of HIV persistence. Droplet digital polymerase chain reaction (ddPCR) can be used for absolute quantification without needing a standard curve. Here, we developed duplex ddPCR assays to detect and quantify total HIV DNA and integrated HIV DNA.Methods::The limit of detection, dynamic ranges, sensitivity, and reproducibility were evaluated by plasmid constructs containing both the HIV long terminal repeat (LTR) and human CD3 gene (for total HIV DNA) and ACH-2 cells (for integrated HIV DNA). Forty-two cases on stable suppressive antiretroviral therapy (ART) were assayed in total HIV DNA and integrated HIV DNA. Correlation coefficient analysis was performed on the data related to DNA copies and cluster of differentiation 4 positive (CD4 +) T-cell counts, CD8 + T-cell counts and CD4/CD8 T-cell ratio, respectively. The assay linear dynamic range and lower limit of detection (LLOD) were also assessed. Results::The assay could detect the presence of HIV-1 copies 100% at concentrations of 6.3 copies/reaction, and the estimated LLOD of the ddPCR assay was 4.4 HIV DNA copies/reaction (95% confidence intervals [CI]: 3.6-6.5 copies/reaction) with linearity over a 5-log 10-unit range in total HIV DNA assay. For the integrated HIV DNA assay, the LLOD was 8.0 copies/reaction (95% CI: 5.8-16.6 copies/reaction) with linearity over a 3-log 10-unit range. Total HIV DNA in CD4 + T cells was positively associated with integrated HIV DNA ( r = 0.76, P <0.0001). Meanwhile, both total HIV DNA and integrated HIV DNA in CD4 + T cells were inversely correlated with the ratio of CD4/CD8 but positively correlated with the CD8 + T-cell counts. Conclusions::This ddPCR assay can quantify total HIV DNA and integrated HIV DNA efficiently with robustness and sensitivity. It can be readily adapted for measuring HIV DNA with non-B clades, and it could be beneficial for testing in clinical trials.

ObjectiveTo investigate the quality of disinfection in the SARS-CoV-2 nucleic acid sampling sites in Shanghai. MethodsSwab samples of medical staff’ hands and environments of different SARS-CoV-2 nucleic acid sampling sites were collected from July to September 2022， with the total number of bacterial colonies cultured and counted. ResultsA total of 728 swab samples were collected from 69 sampling sites. The median total number of bacterial colonies on hand surface， object surface and air samples were 0 CFU·cm^-2， 0 CFU·cm^-2， and1 CFU·（petri dish∙5 min）^-1， respectively， and P₉₅ was 13 CFU·cm^-2， 5.3 CFU·cm^-2， and 17.8 CFU·（culture vessel∙5 min）^-1， respectively. According to the GB 15982‒2012 Hygienic Standard for Disinfection in Hospitals class Ⅳ environment， 680 samples met the standard （93.4%）. Furthermore， 96.9%， 92.0%， and 92.2% of the samples in the sampling sites of tertiary/secondary hospitals， community health centers， and community convenience sampling sites met the standard， respectively. Quality of disinfection did not differ significantly across these sampling sites. ConclusionThe quality of disinfection in the SARS-CoV-2 nucleic acid sampling sites in Shanghai is generally good. Additionally， hand hygiene of medical staff and disinfection on object surface in some sampling sites need to be strengthened.

Objective: To understand the knowledge of disinfection and its influencing factors among caregivers in childcare centers in Huangpu District, Shanghai, in order to provide a basis for the future development of targeted training programs and the work plan to enhance the professional level of disinfection practitioners in childcare centers. Methods: A total of 423 caregivers from 62 childcare centers (including nursery schools) in Huangpu District were selected for a questionnaire about disinfection knowledge, influencing factors, and training needs in March 2023. Differences in disinfection knowledge among subjects with different characteristics were compared using χ 2 tests, and influencing factors were analyzed using a multi factor binary Logistic regression model. Results: The overall knowledge rate of disinfection among caregivers was 50.12%, and those in public kindergartens, private ones, and nursery schools were 51.35%, 46.18%, and 42.57%, respectively, with statistically significant differences ( χ 2=14.25, P < 0.05 ). The caregivers in the highest level kindergartens ( OR =4.50, 95% CI =1.97-10.29), in first level ones ( OR =4.29, 95% CI = 1.98-9.33), in the institutions had clusters of outbreaks ( OR =1.87, 95% CI =1.14-3.07), in which the number of children to caregivers ratio being less than 10∶1 ( OR =21.81, 95% CI =2.55-186.59), with 6-14 years of working experience ( OR =3.51, 95% CI = 1.59 -7.75) had better knowledge of disinfection( P <0.05). Conclusions Knowledge of disinfection among caregivers of childcare institutions is low in Huangpu District, Shanghai. Training of caregivers disinfection knowledge should be strengthened for caregivers with fewer years of experience, in childcare institutions, to improve caregivers disinfection expertise and skills.

The clinical data, laboratory testing, genetic testing results, diagnosis and treatment process of a child with PERCHING syndrome diagnosed and treated in the Department of Neonatology, the Third Affiliated Hospital of Zhengzhou University in June 2022 were retrospectively analyzed, and the relevant literatures were reviewed.The proband mainly presented with dyspnea and feeding difficulties after delivery, facial nevus flammeus, protrusion of eyes, small fissure of eyes, wide nasal root, limited opening of mouth, slightly high palatal arch, special posture, cryptorchid, hypospadias, and high muscle tone of limbs.Magnetic resonance imaging of the brain suggested possible agenesis of corpus callosum.Genetic testing showed complex heterozygous variations in the KLHL7 gene, and the two mutation sites have not been previously reported.A case of PERCHING syndrome caused by the KLHL7 gene mutation in China was reported for the first time, which provided new ideas for the diagnosis and treatment of children with PERCHING syndrome and reliable genetic evidence for family reproduction.

ObjectiveThis study aimed to investigate the risk factors affecting the positive detection of Acinetobacter baumannii on the hands in medical staff of hospitals in Shanghai， and provide epidemiological evidence for the prevention and control of nosocomial infections. MethodsThe hands of doctors， nurses and care workers in key departments were sampled every quarter from 2018 to 2020 according toGB 15982‒2012 "Hospital Disinfection and Hygiene Standards". Separation and identification of A. baumannii were followed with sampling shortly. Information about the working years of sampling subjects， the hand sanitizers of which sampling subjects had used and the ingredients and actual using time of the hand sanitizers was collected while sampling. Finally， 709 samples were selected for this research after excluding the unqualified samples. ResultsThe positive detection of the hand samples was 7.05%. The logistic regression model suggested that the department， the time of using hand sanitizer， the hospital grade and occupational category were determinants of A. baumannii positive detection on hands in medical staff. The risk of A. baumannii positive detection in internal medicine department was 2.846 （95%CI：1.402‒5.776） times higher than that in intensive care unit while it was 3.357 （95%CI：1.349‒8.353） times higher in surgery department than that in intensive care unit. Regarding the use of hand sanitizer， the risk of A. baumannii positive detection was 3.076 （95%CI：1.534‒6.168） times higher in the staff used the hand sanitizer over 14 days than in the medical staff used the sanitizer within 14 days. The risk of A. baumannii positive detection in medical worker in secondary hospitals was 2.235（95%CI：1.088‒4.588）times than in tertiary hospitals. The risk of A. baumannii positive detection of care workers was 3.634 （95%CI：1.764‒7.484） times higher than nurses. ConclusionThe positive detection of hand samples was 7.05%. Department， the time of using hand sanitizer， the hospital grade and occupational category were determinants of A. baumannii positive detection on hands in medical staff. It was necessary to improve hand hygiene for medical staff， especially for care worker. Cleaning and disinfection need to be strengthened in internal department and surgery department.

Objective:To understand the dynamics of circulating Tfh (cTfh) and B cells, and their relationship in individuals with acute (AHI) and chronic HIV infection (CHI).Methods:HIV infected subjects and HIV negative healthy controllers (HC) were enrolled from the men who have sex with men(MSM) high-risk cohort at Beijing Youan hospital. Multicolor flow cytometry was used for the frequency and absolute number analysis of cTfh cell and B-cell subsets with AHI, CHI, and HC.Results:Compared to HC, AHI resulted in an increase in cTfh cell levels and persisted into CHI, however, there was no significant difference between AHI and CHI (AHI vs HC: 2.09±1.48 vs 0.26±0.38, t=5.25, P<0.001; CHI vs HC: 2.26±1.35 vs 0.26±0.38, t=6.25, P<0.001; AHI vs CHI: 2.09±1.48 vs 2.26±1.35, t=0.40, P=0.449). Among B cell subsets, activated memory (AM), tissue-like memory (TLM), and plasmablast (PB) cell levels increased [AM(AHI vs HC: 3.59±1.77 vs 0.83±0.44, t=6.65, P<0.001; CHI vs HC: 3.99±2.49 vs 0.83±0.44, t=5.46, P<0.001); TLM(AHI vs HC: 11.05±4.96 vs 1.30±0.93, t=8.45, P<0.001; CHI vs HC: 13.91±6.59 vs 1.30±0.93, t=8.28, P<0.001); PB( AHI vs HC: 3.01±2.50 vs 0.43±0.26, t=4.47, P<0.001; CHI vs HC: 1.88±1.57 vs 0.43±0.26, t=3.97, P<0.001)], whereas resting memory (RM) and na?ve mature (NM) cell levels decreased in both AHI and CHI [RM(AHI vs HC: 20.06±9.74 vs 25.43±10.91, t=1.70, P=0.040; CHI vs HC: 15.70±8.47 vs 25.43±10.91, t=3.29, P=0.003); NM(AHI vs HC: 55.71±13.88 vs 66.26±11.71, t=2.90, P=0.004; CHI vs HC: 58.33±14.47 vs 66.26±11.71, t=1.94, P=0.006)]. The levels of cTfh cells were positively correlated with those of AM ( r=0.67, P<0.001), classical memory (CM) ( r=0.59, P=0.001), RM ( r=0.47, P=0.010), and PB ( r=0.65, P<0.001), and negatively correlated with those of NM B cells in AHI ( r=-0.55, P=0.003). However, cTfh cells did not show any relationship with B cell subsets except for the positive correlation with PB ( r=0.56, P=0.003) in CHI. Conclusions:HIV infection drives the expansion of cTfh cells, which may in turn leads to perturbations of B cell differentiation during AHI stage.