Results 51 to 60 of about 2,570,971 (306)
Do Past Mortality Rates Predict Future Hospital Mortality? [PDF]
This study aimed to determine whether hospitals with higher historical mortality rates are independently associated with worse patient outcomes.Observational study of in-hospital mortality in open abdominal aortic aneurysm repair, aortic valve replacement, and coronary artery bypass graft surgery in a California in-patient database was conducted ...
Coe, Taylor M +2 more
openaire +4 more sources
Aim. To assess the features of cerebral stroke course in patients with diabetes mellitus (DM) within the framework of the register of acute cerebrovascular event (ACVE) REGION-M.Material and methods.
V. P. Voronina +12 more
doaj +1 more source
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
FUNDAMENTO: Identificação de fatores de risco pré-operatórios na cirurgia cardíaca valvar visa melhor resultado cirúrgico pela possível neutralização de condições relacionadas com morbi-mortalidade aumentada.
Mateus W. De Bacco +9 more
doaj +1 more source
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
ChatGPT Predicts In-Hospital All-Cause Mortality for Sepsis: In-Context Learning with the Korean Sepsis Alliance Database [PDF]
Objectives Sepsis is a leading global cause of mortality, and predicting its outcomes is vital for improving patient care. This study explored the capabilities of ChatGPT, a state-of-the-art natural language processing model, in predicting in-hospital ...
Namkee Oh +11 more
doaj +1 more source
Objective: To develop a reliable risk score prediction model to accurately predict the likelihood of lethal outcomes (LO) in severe acute composite tissue injuries (CTI) cases.
A.M. NAIMOV, A.A. RAZZOKOV, F.M. PARPIEV
doaj +1 more source
Joint Model for Mortality and Hospitalization [PDF]
Abstract: Modeling hospitalization is complicated because the follow-up time can be censored due to death. In this paper, we propose a shared frailty joint model for survival time and hospitalization. A random effect semi-parametric proportional hazard model is assumed for the survival time and conditional on the follow-up time, hospital
Chen, Yuqi +4 more
openaire +2 more sources
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
OBJETIVO: Descrever as características clínicodemográficas e testar sua relação com a mortalidade hospitalar em pacientes submetidos à cirurgia de revascularização do miocárdio (CRM).
Eduardo Lafaiette de Oliveira +2 more
doaj +1 more source

