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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12710/33754
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dc.contributor.authorRăzlog, Tatiana-
dc.contributor.authorRussu, Eugeniu-
dc.contributor.authorGroppa, Liliana-
dc.date.accessioned2026-10-08T10:05:49Z-
dc.date.available2026-10-08T10:05:49Z-
dc.date.issued2026-
dc.identifier.citationRĂZLOG, Tatiana; Eugeniu RUSSU and Liliana GROPPA. Risk stratification for chronic kidney disease progression after COVID-19: insights from multivariate modeling. Arta Medica. 2026, nr. 2(99), pp. 1-8. ISSN 1810-1852. DOI: 10.5281/zenodo.21072411en_US
dc.identifier.issn1810-1852-
dc.identifier.uriDOI: 10.5281/zenodo.21072411-
dc.identifier.urihttps://repository.usmf.md/handle/20.500.12710/33754-
dc.description.abstractSUMMARY Objectives. Chronic kidney disease and COVID-19 have a bidirectional interaction: on one hand, it increases the risk of severe COVID-19, while SARS-CoV-2 may accelerate renal deterioration in vulnerable patients. We aimed to assess medium-term renal status after COVID-19 and to identify independent unfavorable prognostic factors for chronic kidney disease progression using multivariate regression models. Methods. In a prospective cohort study, 280 pre-dialysis patients (KDIGO stages G1–G5) were evaluated in a tertiary nephrology center. Participants were allocated to two matched groups: post-COVID-19 patients with chronic kidney disease (n=140) and non-COVID control patients with chronic kidney disease (n=140), comparable for age, sex, disease stage, and major comorbidities. Clinical variables, renal and metabolic parameters (including proteinuria, phosphate, and hemoglobin), inflammatory markers, and SF-36 quality-of-life scores were collected at follow-up. Group comparisons, correlation analyses, and multivariate logistic regression were performed. Advanced chronic kidney disease was defined as stage G4–G5 at follow-up. Results. Post-COVID and control groups showed similar renal function at follow-up (mean eGFR ≈35 mL/min/1.73m2; p>0.5), with no significant differences in serum creatinine, urea, or proteinuria prevalence. Inflammatory markers were mildly elevated and comparable between groups, consistent with chronic kidney disease related inflammation. SF-36 scores were broadly similar; post-COVID patients reported lower vitality (fatigue) but slightly better social functioning. Within the post-COVID cohort, multivariate logistic regression identified three independent predictors of advanced chronic kidney disease: proteinuria (adjusted OR 5.0; 95% CI 2.0–12.5; p<0.001), serum phosphate (OR 1.8 per +1 mg/ dL; 95% CI 1.3–2.5; p<0.001), and hemoglobin (OR 1.4 per −1 g/dL; 95% CI 1.1–1.8; p=0.005). Model performance was strong (Hosmer–Lemeshow p=0.45; AUC ≈0.88). Conclusions. COVID-19 history did not uniformly worsen medium-term renal outcomes in chronic kidney disease patients compared with matched non-COVID controls. However, persistent proteinuria, hyperphosphatemia, and anemia independently identified post-COVID patients at higher risk of advanced chronic kidney disease, supporting intensified post-COVID nephrology follow-up focused on these markers.en_US
dc.language.isoenen_US
dc.publisherAsociaţia chirurgilor “Nicolae Anestiadi” din Republica Moldovaen_US
dc.subjectCOVID-19en_US
dc.subjectchronic kidney diseaseen_US
dc.subjectprognostic factorsen_US
dc.subjectproteinuriaen_US
dc.subjectpost-COVID outcomesen_US
dc.subject.ddcUDC: 616.61-036.12-06:[616.98:578.834.1]en_US
dc.titleRisk stratification for chronic kidney disease progression after COVID-19: insights from multivariate modelingen_US
dc.typeArticleen_US
Appears in Collections:Arta Medica Nr. 2(99) 2026



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