Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study.

This study aimed to develop a deep learning model to predict the risk stratification of all-cause death for older people with disability, providing guidance for long-term care plans. Based on the government-led long-term care insurance program in a pilot city of China from 2017 and followed up to 2021, the study included 42,353 disabled adults aged over 65, with 25,071 assigned to the training set and 17,282 to the validation set. The administrative data (including baseline characteristics, underlying medical conditions, and all-cause mortality) were collected to develop a deep learning model by least absolute shrinkage and selection operator.

Effect of China's long-term care insurance on health outcomes of older disabled people: role of institutional care.

Since the public long-term care insurance (LTCI) system was piloted in Chengdu, China, in October 2017, there has been considerable growth of LTC institutions in China. This study aimed to evaluate the health value effect of LTCI in older patients with severe disabilities in an LTC institution. This prospective study was based on data from 985 severe disability patients with or without LTCI from October 2017 to May 2021 in the Eighth People's Hospital, Chengdu, China.

Mid-Upper Arm Circumference as an Alternative Screening Instrument to Appendicular Skeletal Muscle Mass Index for Diagnosing Sarcopenia.

Purpose: Mid-upper arm circumference (MUAC) is a simple, noninvasive anthropometric indicator. This study evaluated the applicability of MUAC as an alternative screening instrument to appendicular skeletal muscle mass index (ASMI) for detecting sarcopenia, and determined the optimal MUAC cutoff values.

Patients And Methods: A total of 4509 subjects ≥50 years of age from the West China Health and Aging Trend study were included in the present study.

The role of SARC-F scale in predicting progression risk of COVID-19 in elderly patients: a prospective cohort study in Wuhan.

Background: Since the outbreak of COVID-19, it has been documented that old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, it is unknown whether sarcopenia, a common geriatric syndrome, is associated with poor prognosis among older COVID-19 patients. The aim of our prospective cohort study is to investigate the association between sarcopenia risk and severe disease among COVID-19 patients aged ≥60 years.

The association of sleep quality and sleep duration with nutritional status in older adults: Findings from the WCHAT study.

Objective: To identify the associations between sleep quality, sleep duration and nutritional status in older adults.

Methods: Data from a total of 6792 community-dwellings adults aged 50 and over from the baseline of the West China Health and Aging Trend (WCHAT) study were analyzed. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI).

The association between systemic inflammatory markers and sarcopenia: Results from the West China Health and Aging Trend Study (WCHAT).

Background: Increased evidence suggests chronic inflammation is significant in the progression of sarcopenia in older adults. In this study, we aimed to compare the level of systemic inflammation markers (White blood cells, neutrophils, lymphocytes, platelets and their derived ratios) between sarcopenic and non-sarcopenic individuals and investigate the association of these inflammatory markers with sarcopenia.

Methods: This cross-sectional study included 4224 adults (1514 men and 2710 women) from the West China Health and Aging Trend (WCHAT) study.

Associations between Lesion Locations and Stroke Recurrence in Survivors of First-ever Ischemic Stroke: A Prospective Cohort Study.

Several studies have indicated that stroke survivors with multiple lesions or with larger lesion volumes have a higher risk of stroke recurrence. However, the relationship between lesion locations and stroke recurrence is unclear. We conducted a prospective cohort study of first-ever ischemic stroke survivors who were consecutively enrolled from January 2010 to December 2015.

High prevalence of obesity-related hypertension among adults aged 40 to 79 years in Southwest China.

This study aimed to assess the prevalence and related factors of obesity-related hypertension among adults aged 40 to 79 years in Southwest China. From September 2013 to March 2014, a multi-stage, stratified sampling method was conducted on 10,589 people aged 40 to 79 years and living in Chengdu and Chongqing investigated by using a questionnaire and performing physical and biochemical measurements. The prevalence of obesity-related hypertension and hypertension overall (systolic ≥130 mmHg and/or diastolic ≥80 mmHg or treated hypertension) was 22.

Prevalence and Associated Factors of Sarcopenia in Nursing Home Residents: A Systematic Review and Meta-analysis.

Objective: To review the prevalence and associated factors of sarcopenia in nursing homes.

Design: A systematic review and meta-analysis of published studies in MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials.

Setting: Nursing homes.

[Sample Size Calculation using SAS for PhaseⅡin Two-stage Clinical Trials of Anti-tumor Drugs].

Objective: To compare Gehan two-stage design and Simon two-stage design in sample size calculations for phase Ⅱ clinical trials of anti-tumor drugs.

Methods: We explained the sample size calculation methods with a single-stage design, Gehan two-stage design, and Simon optimal two-stage and minimax two-stage designs in line with the principle of exact binomial probability. By setting up different parameters in SAS macro program, the advantages and disadvantages of these designs were compared.

[Application of Competing Risks Model in Predicting Smoking Relapse Following Ischemic Stroke].

Objective: To determine factors associated with smoking relapse in men who survived from their first stroke.

Methods: Data were collected through face to face interviews with stroke patients in the hospital, and then repeated every three months via telephone over the period from 2010 to 2014. Kaplan-Meier method and competing risk model were adopted to estimate and predict smoking relapse rates.

[Depressive Symptoms in the Mid- and Old-aged People in China].

Objectives: To determine the prevalence and determinants of depressive symptoms in the mid- and old-aged people in China.

Methods: Data were extracted from the 2013 China Health and Retirement Longitudinal Study (CHARLS),which containthe Center Epidemiologic Studies-Depression scale(CES-D). Binary logistic regression models were developed to identify factors associated with the prevalence of depression symptoms.

Long-term trends and predictors of smoking behaviors among men following first-ever ischemic stroke.

Continued smoking following stroke is associated with adverse outcomes including increased risk of mortality and secondary stroke. The aim of this study was to examine the long-term trends in smoking behaviors and factors associated with smoking relapse among men who survived their first-ever stroke. Data collection for this longitudinal study was conducted at baseline through face-to-face interviews and follow-up was completed every 3 months via telephone, beginning in 2010 and continuing through 2014.

[Lesion Locations and Quality of Life in Patients with Ischemic Stroke].

Objective: To determine the relationship between lesion locations and quality of life (QOL) in patients with ischemic stroke.

Methods: The QOL of 456 stroke survivors was assessed two years after the occurrence of stroke. The EQ-5D was used for measuring QOL.