Predictive factors of progression to chronic glomerulonephritis in pediatric patients with post streptococcal acute glomerulonephritis

• Published in: Pediatrics and neonatology Vol. 65; no. 6; pp. 571 - 575
• Main Authors: Utari, Ida Ayu Laksmi Arnita, Adhi, Surya, Hermawan, Kristia, Arguni, Eggi
• Format: Journal Article
• Language: English
• Published: Singapore Elsevier B.V 01.11.2024; Elsevier
• Subjects: Acute Disease; Adolescent; Child; Child, Preschool; Children; Chronic Disease; Chronic glomerulonephritis; Disease Progression; Female; Glomerulonephritis - complications; Glomerulonephritis - etiology; Humans; Hypoalbuminemia; Male; Post streptococcal acute glomerulonephritis; Prognosis; Proteinuria; Proteinuria - etiology; Retrospective Studies; Risk Factors; Streptococcal Infections - complications; Hypoalbuminemia; Children; Post streptococcal acute glomerulonephritis; Chronic glomerulonephritis; Proteinuria
• ISSN: 1875-9572; 2212-1692
• DOI: 10.1016/j.pedneo.2023.11.005

Post streptococcal acute glomerulonephritis (PSAGN) patients have favorable prognosis, in which most patients showed full recovery in terms of kidney function. However, there is a slight chance ranging from 3 to 6% that PSAGN patients develop chronic kidney diseasewhich may progress into end-stage kidney disease in later life. It is important to identify the factors that can predict the development of chronic glomerulonephritis following PSAGN. Therefore, early intervention can be performed to halt the progression of chronic kidney disease. This study aimed to determine the predictive factors of chronic glomerulonephritis in pediatric patients with PSAGN. This study was an analytical observational study with retrospective cohort design. The accessible population was children within the age of 2–18 years old who were admitted with PSAGN between January 2015 and December 2020 in Dr. Sardjito General Hospital Yogyakarta. All anonymized patient data were evaluated for demographic variables, clinical features, laboratory profiles and outcome. Multivariate analysis was performed with multivariate logistic regression method. A total of 124 patients with PSAGN were obtained from medical record data. There were 65 patients (52.4%) with chronic glomerulonephritis. Bivariate analysis was performed on assumed predictive factors with the results indicating massive proteinuria with hypoalbuminemia (OR 1.670, 95%CI 1.199–2.326; p = 0.003), oliguria (OR 1.517, 95%CI 1.101–2.089; p = 0.028) and macroscopic hematuria (OR 1.647, 95%CI:1.061–2.555; p = 0.013) were significantly higher in the PSAGN group with chronic glomerulonephritis compared to those without. Results of the multivariate logistic regression analysis showed massive proteinuria with hypoalbuminemia (OR 2.896, 95%CI 1.177–7.123, p = 0.021) and macroscopic hematuria (OR 2.457, 95%CI ,1.018–5.933, p = 0.046) would highly predict chronic glomerulonephritis in subjects with PSAGN. We concluded that massive proteinuria with hypoalbuminemia and macroscopic hematuria are the predictive factors which highly predict chronic glomerulonephritis in PSAGN.