Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review.

ABSTRACT:

Background

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive cessation or reduction in airflow during sleep. Stroke patients have a higher risk of OSA, which can worsen their cognitive and functional disabilities, prolong their hospitalization, and increase their mortality rates.

Methods

We conducted a comprehensive literature search in the databases of PubMed, CINAHL, Embase, PsycINFO, Cochrane Library, and CNKI, using a combination of keywords and MeSH words in both English and Chinese. Studies published up to March 1, 2022, which reported the development and/or validation of clinical prediction models for OSA diagnosis in stroke patients.

Results

We identified 11 studies that met our inclusion criteria. Most of the studies used lo

SUBMITTER: Yang H 

PROVIDER: S-EPMC10807185 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature