Results 101 to 110 of about 56,158 (307)

Management of multimorbidity

Journal of Multimorbidity and Comorbidity, 2023
Bricca, Alessio, Smith, Susan M, Skou, Søren T   +2 more
openaire   +3 more sources

Biological age in the meta omics era: Integrating physical activity, sleep, and diet to reshape paths of healthy ageing

iMetaOmics, EarlyView.
Biological age provides a translational endpoint linking modifiable lifestyle behaviors—physical activity, sleep, and diet—to multi‐omics changes and downstream clinical outcomes. Integrating multiple ageing clocks with inflammatory, metabolic, and oxidative pathways supports reproducible, intervention‐ready strategies to slow ageing and extend ...
Yanwei You, Yicong Cui, Yuquan Chen, Jiarong He, Dongmin Wang, Danijela Gasevic, Xifeng Wu, Steve Horvath, Mingming Zhang, Xindong Ma   +9 more
wiley   +1 more source

The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries

BMC Geriatrics
Background The impact of multimorbidity (≥ 2 chronic diseases) on the well-being of older adults is substantial but variable. The burden of multimorbidity varies by the number and kinds of conditions, and timing of onset.
David A. Dorr, Sheila Markwardt, Michelle Bobo, Heather G. Allore, Anda Botoseneanu, Jason T. Newsom, Corey Nagel, Ana R. Quiñones   +7 more
doaj   +1 more source

Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002–2015

SSM: Population Health, 2019
This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and multimorbidity of people aged 50 years or older in England.
Leo Singer, Mark Green, Francisco Rowe, Yoav Ben-Shlomo, Karyn Morrissey   +4 more
doaj   +1 more source

A British Pharmacological Society Position Statement on Medications in Pregnancy and Lactation

British Journal of Clinical Pharmacology, EarlyView.
Agnesa Mustafa, Cleodie C. Swire, Reya V. Shah, Bernadette Jenner, Rory H. McLean, Muhammad Shamsher Ahmed, Adrie Bekker, Julia Zöllner, Rachel K. Scott, Robert R. Bies, Sara K. Quinney, Dagan O. Lonsdale, Emma Forton Magavern, Catriona Waitt, Anita Banerjee   +14 more
wiley   +1 more source

Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

iMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni, Jiaojiao Xie, Zhichun Zhang, Keming Zhang, Jie Ding, Mingyang Chang, Ying Su, Yunan Zhang, Mingfei Yao, Chengyuan Wang, Yan Yan, Wenjie Fang, Hainv Gao, Xuecong Tian, Yangshuo Li, Xinlin Zhu, Wen Zhang, Wanqing Liao, Gaoyuan Xu, Guojing Chen, Xiaoyi Lv, Chaoqin Yu, Weihua Pan, Vadim Molodtsov, Lanjuan Li, Yue Gao, Wei Zhou   +26 more
wiley   +1 more source

Incidence, contributing factors, and predictors of diagnostic errors in medical inpatients: A retrospective cohort study

Journal of Hospital Medicine, EarlyView.
Abstract Background Diagnostic error is a major patient safety concern in hospitals, yet most studies have focused on selected high‐risk subgroups, leaving the broader general internal medicine inpatient population understudied. Objectives To determine the incidence, contributing factors, resulting harm, and predictors of diagnostic error in medical ...
Caterina E. Marx, Elena Hofmann, Martin Perrig, Gurpreet Dhaliwal, Wolf Hautz, Jörg P. Isenegger, Ernst Lipp, Drahomir Aujesky, Manuel R. Blum, Tobias Tritschler   +9 more
wiley   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

Safety profile comparison of intra‐articular corticosteroids, hyaluronic acid, platelet‐rich plasma, and cell‐based injections for knee osteoarthritis: A systematic review and meta‐analysis by the ESSKA Orthobiologics Initiative

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The aim was to compare the safety profiles of corticosteroids (CS), hyaluronic acid (HA), blood‐derived products based on platelet concentrates (for simplicity indicated as PRP ‐ platelet‐rich plasma ‐ being PRP the most common product), and cell‐based therapies (namely products exploiting the therapeutic function of mesenchymal ...
Alessandro Bensa, Andrea Piano, Giacomo Arthur Fumagalli, Laura de Girolamo, Lior Laver, Jérémy Magalon, Mikel Sánchez, Thomas Tischer, Giuseppe Filardo   +8 more
wiley   +1 more source

Patterns of multimorbidity in primary care electronic health records: A systematic review [PDF]

Multimorbidity; Electronic health records; Primary careMultimorbilidad; Registros médicos electrónicos; Atención primariaMultimorbiditat; Registres mèdics electrònics; Atenció primàriaBackground Multimorbidity, the coexistence of multiple chronic ...
Pérez, Laura-Mónica, Calderon-Larranaga, A, Ars, Joan, Calderón-Larrañaga, Amaia, Beridze, G,, Remelli, Francesca, Vetrano, DL, Beridze, Giorgi, Abbadi, A,, Vetrano, Davide Liborio, Ars , Joan, Ars, J, Lopez-Rodriguez, JA, Trevisan, C,, Trevisan, Caterina, Pérez, Laura Mónica, Vetrano, Davide L, Remelli, F, López-Rodríguez, Juan A, Abbadi, Ahmad, Perez, L-M   +20 more
core   +1 more source