Ontology highlight
ABSTRACT: Introduction
Chronic kidney disease (CKD) is estimated to affect about 9.1% of the global population with a substantially increased risk of the condition (6.8%–17.2%) among people living with HIV (PLWH). This increased risk is attributed to HIV infection itself, antiretroviral therapy, coexisting viral infections, non-infectious comorbidities and traditional risk factors for CKD. Predictive models have been employed in the estimation of prevalent and incident CKD risk in both PLWH and the general population. A predictive model showing an individual’s risk of prevalent and/or progression to kidney failure is useful for initiating timely interventions that prevent further worsening of kidney function. This study will systematically review published prediction models developed and/or
SUBMITTER: Odubela O
PROVIDER: S-EPMC9301783 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature