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- Title
Inflammation‐based modified Glasgow prognostic score and renal outcome in chronic kidney disease patients: is there a relationship?
- Authors
Stefan, Gabriel; Stancu, Simona; Zugravu, Adrian; Capusa, Cristina
- Abstract
Background: Chronic kidney disease (CKD) progression is presumably related to inflammatory response. The modified Glasgow prognostic score (mGPS), based on a combination of albumin and C‐reactive protein, has been derived from oncology and validated in multiple diseases. Aims: To evaluate the relationship between the mGPS and CKD progression. Methods: The present retrospective unicentric cohort study included 547 CKD patients (age 60.2 years; 53% male; estimated glomerular filtration (eGFR) 42.0 mL/min; mean change −2 mL/min/year) admitted between 1 January 2007 and 31 December 2012. Patients' records were reviewed from the CKD diagnosis to one of the four outcomes: end‐stage kidney disease (ESKD), death, loss to follow up or until 31 July 2017. Results: The mGPS score was 0 for 420 (78%), 1 for 110 (19%) and 2 for 17 (3%) patients. More patients with rapid CKD progression were found in the group with the highest mGPS (P = 0.05). mGPS was negatively correlated with baseline eGFR and positively with albuminuria. In the multivariate analysis, mGPS was associated with the eGFR slope. During the study period, 130 (24%) patients died and 109 (20%) reached ESKD. The mean kidney survival time was 8.1 (95% confidence interval 7.9–8.4) years. Patients with zero mGPS had better kidney survival than those with the score of 1 and 2 (Kaplan–Meier, P = 0.02). However, the kidney survival differences were not present after adjusting for CKD progression risk factors. Conclusion: The inflammation‐based mGPS score was associated with eGFR decline in CKD patients. Therefore, could prove useful in improving risk stratification of CKD patients.
- Subjects
ROMANIA; EUROPE; CHRONIC kidney failure; DISEASE progression; ALBUMINS; C-reactive protein; GLOMERULAR filtration rate; STATISTICS; KRUSKAL-Wallis Test; BIOMARKERS; CONFIDENCE intervals; INFLAMMATION; MULTIVARIATE analysis; LOG-rank test; RETROSPECTIVE studies; ACQUISITION of data; RISK assessment; DESCRIPTIVE statistics; SURVIVAL analysis (Biometry); KAPLAN-Meier estimator; MEDICAL records; STATISTICAL models; DATA analysis software; LONGITUDINAL method; ALBUMINURIA; PROPORTIONAL hazards models; DISEASE risk factors
- Publication
Internal Medicine Journal, 2022, Vol 52, Issue 6, p968
- ISSN
1444-0903
- Publication type
Article
- DOI
10.1111/imj.15251