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Background: Primary nephrotic syndromes are rare diseases which can impede adequate sample size for observational patient-oriented research and clinical trial enrollment. A computable phenotype may be powerful in identifying patients with these diseases for research across multiple institutions.
Methods: A comprehensive algorithm of inclusion and exclusion ICD-9 and ICD-10 codes to identify patients with primary nephrotic syndrome was developed. The algorithm was executed against the PCORnet CDM at three institutions from January 1, 2009 to January 1, 2018, where a random selection of 50 cases and 50 noncases (individuals not meeting case criteria seen within the same calendar year and within 5 years of age of a case) were reviewed by a nephrologist, for a total of 150 cases and 150 noncases reviewed. The classification accuracy (sensitivity, specificity, positive and negative predictive value, F1 score) of the computable phenotype was determined.
Results: The algorithm identified a total of 2708 patients with nephrotic syndrome from 4,305,092 distinct patients in the CDM at all sites from 2009 to 2018. For all sites, the sensitivity, specificity, and area under the curve of the algorithm were 99% (95% CI, 97% to 99%), 79% (95% CI, 74% to 85%), and 0.9 (0.84 to 0.97), respectively. The most common causes of false positive classification were secondary FSGS (nine out of 39) and lupus nephritis (nine out of 39).
Conclusion: This computable phenotype had good classification in identifying both children and adults with primary nephrotic syndrome utilizing only ICD-9 and ICD-10 codes, which are available across institutions in the United States. This may facilitate future screening and enrollment for research studies and enable comparative effectiveness research. Further refinements to the algorithm including use of laboratory data or addition of natural language processing may help better distinguish primary and secondary causes of nephrotic syndrome.
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http://dx.doi.org/10.34067/KID.0002892021 | DOI Listing |
Cureus
August 2025
Department of Nephrology, Georgian American University, Tbilisi, GEO.
This case report describes a 38-year-old female patient with type 1 diabetes who developed collapsing-type glomerulonephritis (CTGN), a rare but severe kidney injury. The patient presented with nephrotic syndrome symptoms, including edema and hypertension. Laboratory tests showed significant proteinuria with normal serum creatinine and glomerular filtration rate.
View Article and Find Full Text PDFIndian Pediatr
September 2025
Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Objective: To determine the cyclosporine trough (C) and two-hour post-dose concentrations (C) in children with nephrotic syndrome (NS) and study the factors influencing them.
Methods: In this ambispective cohort study, children with NS (including frequently relapsing, steroid-dependent and steroid-resistant nephrotic syndrome) on cyclosporine therapy were enrolled. Clinical and laboratory data were recorded.
Int J Gen Med
September 2025
Department of Medical Services and Techniques, Health Services Vocational School, Mardin Artuklu University, Mardin, Turkiye.
Background: Brucellosis is a zoonotic and multisystemic disease that is widespread worldwide and can present with many different clinical conditions, ranging from asymptomatic to serious and fatal conditions. Brucellosis may be linked to renal tubular and acute kidney damage, nephrotic syndrome, and various types of nephropathies.
Objective: Our research was carried out prospectively to investigate the relationship between brucellosis and various biochemical markers and particularly to investigate the role of renal tubular damage biomarkers.
Indian J Endocrinol Metab
August 2025
Department of Pediatrics, Endocrinology and Metabolism, University College of Medical Sciences and Guru Teg Bahadur Hospital, New Delhi, India.
Introduction: Glucocorticoid-induced adrenal insufficiency (AI) is underestimated and under-reported in children with nephrotic syndrome (NS). This study aimed to estimate the prevalence of AI in children with steroid-sensitive NS, defined by serum cortisol level <18 mcg/dL 30 minutes after low-dose adrenocorticotropin stimulation test (LDST) and/or baseline (8 AM) serum cortisol level <5 mcg/dL, 4-12 weeks after stopping steroid therapy.
Methods: In this cross-sectional study, 73 children with steroid-sensitive NS, in remission and off steroids for 4-12 weeks, were enrolled from the Paediatrics Department at a tertiary care hospital.
Pediatr Nephrol
September 2025
Department of Clinical Laboratory, Medical School, South China Hospital, Shenzhen University, Shenzhen, Guangdong, China.