Objective: To explore the difference in intensive care unit (ICU) readmission rate between high dependency unit (HDU) and general ward for the patients with severe liver disease (SLD), and reflect the effect of HDU on SLD patientse. Methods: A clinical cohort of patients transferred out of ICU was established, and patients with severe liver disease who were transferred to HDU& general ward from July 2017 to December 2021 in the intensive care Unit of the Fifth Medical Center of PLA General Hospital were continuously enrolled. The main liver function indexes and MELD scores between the two groups were compared. Analyze the differences in severity and ICU readmission rate of SLD patients transferred to different wards, and clarify the role of HDU in the management of SLD patient. Area under the receiver operating characteristic (AUROC) was used to investigate the value of MELD score in predicting the occurrence of return to ICU. Results: The level of INR, TB, ALT and MELD scores of SLD patients transferred to HDU were significantly higher than those of patients transferred to general ward (all P < 0.05). MELD > 17 was found in 70.7% of SLD patients transferred to HDU group, while MELD ≤ 17 was found in 61.9% of SLD patients in general ward group. The ICU readmission rate of all patients in this cohort was 11.4%. By MELD quartile stratification, patients with SLD whose MELD > 23 had a significantly higher ICU readmission rate (20.0%) than those with SLD whose MELD ≤ 23 (8.6%) (P = 0.020). The ICU readmission rate was 8.2% when MELD ≤ 23 in the HDU group and 9.1% when MELD > 23, showing no significant difference (P = 1.000). The ICU readmission rate was 8.8% when MELD ≤ 23 in the general ward group. ICU reentry rate increased significantly to 36.4% when MELD > 23 (P = 0.001). MELD Score predicts that the optimal cut-off value of SLD patients in general ward readmitted to ICU was 23.5. Conclusion: The high dependency unit could better admit patients with SLD who were transferred out of ICU and required step-down treatment, and significantly reduced the ICU readmission rate of patients with SLD who were transferred out of ICU with MELD > 23. The patients with SLD and MELD score > 23 are suitable to be transferred from ICU to HDU.

Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
Humans ; Artificial Intelligence ; Urothelium/pathology* ; Cytodiagnosis ; Epithelial Cells/pathology* ; Sensitivity and Specificity ; Urologic Neoplasms/urine*

Objective: To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. Methods: This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. Results: Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). Conclusions: The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
Male ; Female ; Humans ; Prognosis ; Neoplasm Staging ; Retrospective Studies ; Nomograms ; Lymph Nodes/pathology* ; Risk Factors ; Colonic Neoplasms/surgery*

Humans ; Lung ; Pneumoconiosis/diagnostic imaging* ; Radiography ; Tomography, X-Ray Computed

From September 2017 to February 2018, 650 disabled children and adolescents aged 6-to 17-year-old in Beijing were matched 1∶1 to those in normal physical condition with same age, gender and place of residence. All children and adolescents were investigated for self-injury status in the last year to understand the difference of self-injury incidence between groups. Multivariate unconditional logistic regression model was applied for exploring relevant factors of self-injury of children and adolescents. This study found that the disability, insufficient sleep, difficulty falling asleep, and sleeping late were associated with self-injury of children and adolescents.
Adolescent ; Beijing ; epidemiology ; Child ; Cross-Sectional Studies ; Disabled Children ; statistics & numerical data ; Humans ; Logistic Models ; Self-Injurious Behavior ; epidemiology ; Sleep

Objective: To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. Methods: By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. Results: There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). Conclusions: There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China ; Genetic Structures ; Genome-Wide Association Study ; Humans ; Linear Models ; Principal Component Analysis

Objective: To explore the relationship between different dimensions of infectious disease-specific health literacy scale in China. Methods: Structural equation model (SEM) was employed to assess the psychometric properties of the infectious disease-specific health literacy scale. Based on the database from a randomly selected sample of 4 499 adult residents in three provinces in China, from March to May 2015. AMOS 21.0 software was used to build the SEM for data analyses. Results: SEM analyses showed a good model fit of data, with the following satisfied parameters: goodness-of-fit index was 0.969, adjusted goodness-of-fit index was 0.962, root mean square residual was 0.038, root mean square error of approximation was 0.038, standardized root mean square residual was 0.032, Tacker-Lewis index/non-normed fit index was 0.926, comparative fit index was 0.934, normed fit index was 0.925, relative fit index was 0.915, incremental fit index was 0.934, parsimony goodness-of-fit index was 0.782, parsimony-adjusted normed fit index was 0.817, parsimony-adjusted comparative fit index was 0.825 and critical N was 702. The established SEM showed that the total influence path coefficient of "infectious disease-related knowledge and values" on the "infectious disease prevention" , "management or treatment of infectious diseases" and "identification of infection sources" were 0.771, 0.744 and 0.843, respectively. The total influence path coefficients of "identification of infection sources" , "infectious disease prevention" on "management or treatment of infectious diseases" were 0.164 and 0.535, respectively. The effect of "infectious disease-related knowledge and values" on "management or treatment of infectious diseases" appeared the greatest (55.4%), followed by "infectious disease prevention" (28.6%) and "identification of infection sources" (2.7%). Conclusion: This SEM could be optimistically used for planning and evaluation of health education and promotion programs on infectious diseases prevention.
Adult ; China ; Health Literacy ; Humans ; Models, Theoretical ; Psychometrics ; Surveys and Questionnaires

Family-based cohort study is a special type of study design, in which biological samples and environmental exposure information of the member in a family are collected and related follow up is conducted. Family-based cohort study can be applied to explore the effect of genetic factors, environmental factors, gene-gene interaction, and gene-environment interaction in the etiology of complex diseases. This paper summarizes the objectives, methods and results, as well as the opportunities and challenges of the family-based cohort study on common chronic non-communicable diseases in rural population in northern China.
China/epidemiology* ; Chronic Disease/ethnology* ; Cohort Studies ; Female ; Gene-Environment Interaction ; Humans ; Male ; Middle Aged ; Noncommunicable Diseases/ethnology* ; Research Design ; Rural Population

Objective: To understand the current overall status of implementation on the National Demonstration Areas of Comprehensive Prevention and Control of Non-communicable Diseases. Methods: According to the scheme design of the questionnaires, all the National Demonstration Areas were involved in this study. For each National Demonstration Areas, eight departments were selected to complete a total of 12 questionnaires. Results: Scores related to the implementation of the National Demonstration Areas accounted for 71.8% of the total 170 points. Based on the scores gathered from this study, the 23-items-index-system that represented the status of project implementation was classified into seven categories. Categories with higher percentile scores would include: monitoring (88.0%), safeguard measures (75.0%), health education and health promotion (75.0%). Categories with lower percentile scores would include: the national health lifestyle actions (67.7%), community diagnosis (66.7%), discovery and intervention of high-risk groups (64.7%), and patient management (60.9%). There were significant differences noticed among the eastern, central and western areas on items as safeguard measures, health education/promotion, discovery and intervention of high-risk groups. In all, the implementation programs in the eastern Demonstration Areas seemed better than in the central or western regions. As for the 23 items, five of the highest scores appeared on policy support, mortality surveillance, tumor registration, reporting system on cardiovascular/cerebrovascular events, and on tobacco control, respectively. However, the lowest five scores fell on healthy diet, patient self-management program, oral hygiene, setting up the demonstration units and promotion on basic public health services, respectively. The overall scores in the eastern region was higher than that in the central or the western regions. The scores in the central and western regions showed basically the same. Conclusions: The overall status of implementation on the National Demonstration Areas was satisfactory. Future attention should be focusing on patient management as well as discovery and intervention of high-risk groups, which also presented the lowest scores, in this survey.
China/epidemiology* ; Chronic Disease/epidemiology* ; Delivery of Health Care ; Health Promotion/organization & administration* ; Humans ; National Health Programs ; Noncommunicable Diseases/prevention & control* ; Outcome Assessment, Health Care ; Population Surveillance ; Preventive Health Services/organization & administration* ; Program Evaluation ; Public Health ; United States

Objective: To study the modification effect of age on the association between body mass index and the risk of hypertension. Methods: People age ≥18 years old were selected by clusters, from a rural area of Henan province. In total, 20 194 people were recruited at baseline during 2007 and 2008, and the follow-up study was completed from 2013 to 2014. Logistic regression model was used to assess the risk of incident hypertension by baseline BMI and age-specific BMI. Results: During the 6-year follow-up period, 1 950 hypertensive persons were detected, including 784 men and 1 166 women, with cumulative incidence rates as 19.96%, 20.51%, and 19.61%, respectively. Compared with those whose BMI<22 kg/m(2), the RRs of hypertension were 1.09 (0.93-1.27), 1.17 (1.01-1.37), 1.34 (1.14-1.58) and 1.31 (1.09-1.56) for participants with BMI as 22-, 24-, 26- and ≥28 kg/m(2), respectively. In young and middle-aged populations, the risk of hypertension gradually increased with the rise of BMI (trend P<0.05). However, in the elderly, the increasing trend on the risk of hypertension risk was not as significantly obvious (trend P>0.05). Conclusion: The effect of BMI on the incidence of hypertension seemed to depend on age. Our findings suggested that a weight reduction program would be more effective on young or middle-aged populations, to prevent the development of hypertension.
Adolescent ; Age Factors ; Aged ; Asian People/statistics & numerical data* ; Body Mass Index ; Cohort Studies ; Female ; Follow-Up Studies ; Humans ; Hypertension/ethnology* ; Incidence ; Logistic Models ; Male ; Middle Aged ; Risk Factors ; Rural Population