Zobrazeno 1 - 10
of 330
pro vyhledávání: '"Group-based trajectory model"'
Autor:
Kai Guo, Qi Wang, Lin Zhang, Rui Qiao, Yujia Huo, Lipeng Jing, Xiaowan Wang, Zixuan Song, Siyu Li, Jinming Zhang, Yanfang Yang, Jinli Mahe, Zhengran Liu
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Background Insulin resistance is linked to an increased risk of frailty, yet the comprehensive relationship between the triglyceride glucose-body mass index (TyG-BMI), which reflects weight, and frailty, remains unclear. This relationship is
Externí odkaz:
https://doaj.org/article/5a04c3f07c0f49a3a262476e38c29581
Publikováno v:
Neurology and Therapy, Vol 13, Iss 3, Pp 749-761 (2024)
Abstract Introduction Acute ischemic stroke (AIS) significantly contributes to severe disability and mortality among the elderly. This study aims to explore the association between longitudinal fluid balance (FB) trajectories and clinical outcomes in
Externí odkaz:
https://doaj.org/article/016145066b3b4c3b8d714362e78eae41
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
ObjectiveThis study aimed to characterize multivariate trajectories of blood pressure [systolic blood pressure (SBP) and diastolic blood pressure (DBP)] jointly and examine their impact on incident cardiovascular disease (CVD) among a Chinese elderly
Externí odkaz:
https://doaj.org/article/552b9fb816394a3b9aa35b14fe4b81b3
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Although inverse associations have been found between medication adherence and healthcare use and spending outcomes in many clinical settings, no studies to date have examined these relationships for patients with idiopathic pulmo
Externí odkaz:
https://doaj.org/article/7283f5b583c34d30bd791bf1665a05bb
Autor:
Hua-Long Zheng, Fu-Hai Wang, Ling-Kang Zhang, Ping Li, Chao-Hui Zheng, Qi-Yue Chen, Chang-Ming Huang, Jian-Wei Xie
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Systemic inflammatory factors can predict the survival prognosis of gastric cancer (GC) patients after neoadjuvant chemotherapy (NACT). However, whether longitudinal changes in systemic inflammatory factors are associated with sho
Externí odkaz:
https://doaj.org/article/227f1cbc745047ed925818fc9c015e05
Autor:
Pufei Bai, Xian Shao, Xiaoqun Ning, Xi Jiang, Hongyan Liu, Yao Lin, Fang Hou, Yourui Zhang, Saijun Zhou, Pei Yu
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background There is a lack of relevant studies evaluating the long-term impact of cardiovascular health factor (CVH) metrics on chronic kidney disease (CKD). Objective This study investigates the long-term change in CVH metrics in older peop
Externí odkaz:
https://doaj.org/article/970f561752eb4be7b7cd0761e49818a0
Autor:
Shuo Chen, Yan-Yan Zhu, Zhen-Xing Chu, Hui Zhou, Miao Liu, Yong-Jun Jiang, Qing-Hai Hu, for the China Real-World Oral Intake of PrEP (CROPrEP) Study Team
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Anxiety and depression can influence adherence to Pre-exposure Prophylaxis (PrEP). However, there is limited research on the temporal dynamics of anxiety and depression among men who have sex with men (MSM) using PrEP. Methods Fro
Externí odkaz:
https://doaj.org/article/bcb96e3bc98e4a86b1d1786fb384f119
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e32948- (2024)
Background and objective: Neurocritical patients often experience uncontrolled high catabolic metabolism state during the acuta phase of the disease. The complex interactions of neuroendocrine, inflammation, and immune system lead to massive protein
Externí odkaz:
https://doaj.org/article/0dd164f35f124e33a2e9df074a1a5fcc
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 29, Pp 3636-3639 (2023)
Background High serum uric acid (SUA) levels may be associated with hypertriglyceridemia. However, prospective cohort studies on the effect of longitudinal trajectory changes in SUA on new-onset hypertriglyceridemia are still lacking. Objective To in
Externí odkaz:
https://doaj.org/article/01f886282db54f53ac37e9495e12e4fd
Autor:
Xiang Zhou, Xudong Ma, Sifa Gao, Yingying Ma, Jianwei Gao, Huizhen Jiang, Weiguo Zhu, Na Hong, Yun Long, Longxiang Su
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss S9, Pp 1-13 (2023)
Abstract Background With the global spread of COVID-19, detecting high-risk countries/regions timely and dynamically is essential; therefore, we sought to develop automatic, quantitative and scalable analysis methods to observe and estimate COVID-19
Externí odkaz:
https://doaj.org/article/0e960f36b7f748afbfe67072c6fea384