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.

[Expression and Initial Mechanism of Nicotinamide Phosphoribosyltransferase (NAMPT) in Dilated Cardiomyopathy].

Objective: To explore nicotinamide phosphoribosyltransferase (NAMPT) expression in dilated cardiomyopathy (DCM) and its initial mechanism in the pathogenesis of DCM.

Methods: The peripheral blood of 131 Chinese patients with DCM confirmed by West China Hospital of Sichuan University during 2010-2013 were collected. 137 cases of Chinese Han healthy persons who were randomly selected in the physical examination center of West China Hospital of Sichuan University as the control group.

[Bone turnover markers in the detection of bone metastases in primary lung cancer].

Objective: To study which markers can be applied to monitor the presence of the bone metastases in primary lung cancer without bone lesion during the follow-up period.

Methods: Based on the criteria for inclusion, we screened and selected 10 cases of lung cancer with bone metastases, 10 cases of lung cancer without bone metastases and 10 healthy subjects. Then we measured their serum bone alkaline phosphatases (bALP) by chemiluminescence immunoassay, their serum beta-carboxyterminal telopeptide of type I collagen (sCTX) and their serum N-terminal midfragment osteoclacin (N-MID) by electro-chemiluminescence immunoassay, and their serum total alkaline phosphatases (tALP) by flurorescence enzyme immunoassay.