Comparing a new multimorbidity index with other multimorbidity measures for predicting disability trajectories.

Background: The optimal multimorbidity measures for predicting disability trajectories are not universally agreed upon. We developed a multimorbidity index among middle-aged and older community-dwelling Chinese adults and compare its predictive ability of disability trajectories with other multimorbidity measures.

Methods: This study included 17,649 participants aged ≥50 years from the China Health and Retirement Longitudinal Survey 2011-2018.

[Associations of cardiometabolic multimorbidity with grip strength and gait speed among older Chinese adults].

To investigate the associations of cardiometabolic multimorbidity (CMM) with grip strength and gait speed among older Chinese adults. This study included participants aged ≥60 years from the China Health and Retirement Longitudinal Survey during 2011-2015. Generalized estimating equation models were employed to estimate the associations of CMM with grip strength and gait speed.

Better Life's Essential 8 Is Associated With Lower Risk of Diabetic Kidney Disease: A Community-Based Study.

Background Diabetic kidney disease (DKD) is a common diabetic complication and increases the complexity of diabetes management. No prospective study has focused on the association between DKD and Life's Essential 8 (LE8). Our study aims to examine the association between LE8 and DKD risk.

[Applications of microsimulation model for cost-effectiveness analysis on screening in epidemiology].

Microsimulation model simulates individuals and estimates transition probabilities within the population using individual participant data. This approach could deal with the heterogeneous characteristics among the people or personal history of diseases and may be relevant in addressing cost-effectiveness problems of screening for complex conditions in epidemiology. This paper introduces the general principles, basic steps involved in implementation, analytic methods, and other related issues of the microsimulation model.

A Cross-Sectional Study of Breast Cancer Surgery and the Cost Based on Data From 77 Chinese 3A Hospitals in 2015.

Purposes: We aimed to clarify the real-world status of breast cancer surgery and the cost in China.

Methods: This cross-sectional survey relied on data obtained from the hospitalization summary reports (HSRs) in 77 top-ranked (grade 3A) hospitals in China to analyze breast cancer patients who underwent surgery between January 2015 and December 2015. The surgery and cost were mainly evaluated.

[Predicting prolonged length of intensive care unit stay machine learning].

Objective: To construct length of intensive care unit (ICU) stay (LOS-ICU) prediction models for ICU patients, based on three machine learning models support vector machine (SVM), classification and regression tree (CART), and random forest (RF), and to compare the prediction perfor-mance of the three machine learning models with the customized simplified acute physiology score Ⅱ(SAPS-Ⅱ) model.

Methods: We used medical information mart for intensive care (MIMIC)-Ⅲ database for model development and validation. The primary outcome was prolonged LOS-ICU(pLOS-ICU), defined as longer than the third quartile of patients' LOS-ICU in the studied dataset.

Long-Term Effect of Early Post-operative Transcutaneous Electrical Stimulation on Voiding Function After Radical Hysterectomy: A Multicenter, Randomized, Controlled Trial.

Post-radical-hysterectomy (RH) patients suffer from a series of problems resulting from neurovascular injury, such as bladder dysfunction, which reduce their quality of life. We have designed this study to evaluate the efficacy of transcutaneous electrical stimulation (TENS) on patient rehabilitation after RH for early cervical cancer. A total of 97 patients were enrolled in a randomized-controlled trial (from January 2015 to December 2019) involving 7 medical centers nationwide.

[Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].

Objective: To develop machine learning models for predicting intensive care unit (ICU) readmission using ensemble learning algorithms.

Methods: A publicly accessible American ICU database, medical information mart for intensive care (MIMIC)-Ⅲ as the data source was used, and the patients were selected by the inclusion and exclusion criteria. A set of variables that had the predictive ability of outcome including demographics, vital signs, laboratory tests, and comorbidities of patients were extracted from the dataset.

Vision impairment, vision correction, and cognitive decline among middle-aged and older Chinese: results from the China health and retirement longitudinal study.

Objectives: To investigate the associations between vision impairment (VI), vision correction (VC), and cognitive function.

Method: We included 20,677 participants aged ≥45 years from the China Health and Retirement Longitudinal Study (2011-2015). Participants were grouped into no VI, distance VI (DVI) only, near VI (NVI) only, or both distance and near VI (DNVI), and VI(+)/VC(-), VI(+)/VC(+), VI(-)/VC(-), or VI(-)/VC(+) further at baseline.

Status of health information exchange: a comparison of six countries.

Background: Health information exchange (HIE) is frequently cited as an important objective of health information technology investment because of its potential to improve quality, reduce cost, and increase patient satisfaction. In this paper we examine the status and practices of HIE in six countries, drawn from a range of higher and lower income regions.

Methods: For each of the countries represented - China, England, India, Scotland, Switzerland, and the United States - we describe the state of current practice of HIE with reference to two scenarios: transfer of care and referral.

Association between ambient particulate matter and hospitalization for anxiety in China: A multicity case-crossover study.

Aims: Evidence concerning the impact of ambient particulate matter (PM) on mental health is just emerging and inconsistent. Air pollution with high PM levels has been frequently reported in China, however, no Chinese study has determined the association between PM exposures and anxiety hospitalizations. We examined the potential association between PM concentrations and anxiety admissions in 26 Chinese cities from January 2014 to December 2015.

Ambient fine particulate matter is associated with increased emergency ambulance dispatches for psychiatric emergencies.

Aims: As a top ambient pollutant in urban area, fine particulate matter (PM) has been associated with the occurrence and deterioration of many medical conditions, while limited studies have observed the association with psychiatric conditions. This study aimed to investigate the association between short-term PM exposure and psychiatric emergency events, and further explored the variation by age, sex and seasonal patterns, which have been suggested to be associated with both psychiatric risk and pollutant toxicity.

Methods: We used time-series analysis to investigate the association between short-term exposure of PM and emergency ambulance dispatches for psychiatric emergencies (EPE) (n = 158634) in Beijing, one of the top polluted cities in China during the study period between 2008 and 2014.

Dietary Fat Intake and Cognitive Function among Older Populations: A Systematic Review and Meta-Analysis.

Objective: The associations between dietary fat intake and cognitive function are inconsistent and inconclusive. This study aimed to provide a quantitative synthesis of prospective cohort studies on the relationship between dietary fat intake and cognitive function among older adults.

Methods: PubMed, EMBASE, PsycINFO and Web of Science databases were searched for prospective cohort studies published in English before March 2018 reporting cognitive outcomes in relation to dietary fat intake.

Food insecurity is associated with higher-than-normal blood serum copper level.

Objective: To determine associations between household food security status and risk of Cu toxicity.

Design: A population-level cross-sectional study to determine adult household food security status and its relationship with serum total Cu concentration (serum Cu) using multivariable regression models.

Setting: Adult participants in the US National Health and Nutrition Examination Survey (NHANES) 2011-2014.

Association Between PM and Daily Hospital Admissions for Heart Failure: A Time-Series Analysis in Beijing.

There is little evidence that acute exposure to fine particulate matter (PM) impacts the rate of hospitalization for congestive heart failure (CHF) in developing countries. The primary purpose of the present retrospective study was to evaluate the short-term association between ambient PM and hospitalization for CHF in Beijing, China. A total of 15,256 hospital admissions for CHF from January 2010 to June 2012 were identified from Beijing Medical Claim Data for Employees and a time-series design with generalized additive Poisson model was used to assess the obtained data.

[Prevalence of diabetes in Chinese adults: a Meta-analysis].

To evaluate the prevalence and trend of diabetes mellitus among Chinese adults during the past thirty years. Papers, published before October 1, 2017 and related to the prevalence of diabetes mellitus among Chinese adults, were searched through PubMed, China Knowledge Resource Integrated Database, Wanfang Digital Database and VIP Citation Databases. Stata 13.

Ambient concentrations of particulate matter and hospitalization for depression in 26 Chinese cities: A case-crossover study.

Objective: Air pollution with high ambient concentrations of particulate matter (PM) has been frequently reported in China. However, no Chinese study has looked into the short-term effect of PM on hospitalization for depression. We used a time-stratified case-crossover design to identify possible links between ambient PM levels and hospital admissions for depression in 26 Chinese cities.

Clinical characteristics, treatment patterns, and outcomes of primary canaliculitis among patients in Beijing, China.

Background: Canaliculitis may cause punctal or canalicular swelling, discharge, erythema, and sometimes concretions. This study examined the clinical characteristics, treatment patterns, and outcomes of primary canaliculitis from patients at a top-rated hospital in Beijing, China.

Methods: Medical records of 16 patients (retrospective case series) were studied.

Control costs, enhance quality, and increase revenue in three top general public hospitals in Beijing, China.

Background: With market-oriented economic and health-care reform, public hospitals in China have received unprecedented pressures from governmental regulations, public opinions, and financial demands. To adapt the changing environment and keep pace of modernizing healthcare delivery system, public hospitals in China are expanding clinical services and improving delivery efficiency, while controlling costs. Recent experiences are valuable lessons for guiding future healthcare reform.

Variable lengths of stay among ischemic stroke subtypes in Chinese general teaching hospitals.

Background: Length of stay (LOS) is one of the most important quantitative indexes that measures health service utilization within a hospital. Many studies have examined the association of three major stroke categories with LOS. Our aim is to investigate the differences of LOS among ischemic stroke subtypes, results from which are helpful to healthcare providers and government agencies to improve health care delivery efficiency.

[caCORE: core architecture of bioinformation on cancer research in America].

A critical factor in the advancement of biomedical research is the ease with which data can be integrated, redistributed and analyzed both within and across domains. This paper summarizes the Biomedical Information Core Infrastructure built by National Cancer Institute Center for Bioinformatics in America (NCICB). The main product from the Core Infrastructure is caCORE--cancer Common Ontologic Reference Environment, which is the infrastructure backbone supporting data management and application development at NCICB.