Clinical and histopathological analyses of kidney biopsies in a single center for 7 years.
Seunghye LeeSehyun JungMi-Ji KimJong Sil LeeHa Nee JangSe-Ho ChangHyun-Jung KimPublished in: Medicine (2022)
Kidney biopsy is the most important tool for diagnosing kidney disease and can be helpful in determining treatment and prognosis. Pathological spectra vary by country, region, race, sex, and age. We are the first to investigate the pathological spectrum of biopsy-proven kidney disease in Gyeongnam province of South Korea. We retrospectively analyzed 631 patients who underwent a kidney biopsy between 2013 and 2019 at Gyeongsang National University Hospital. The mean age of the 631 patients was 51.5 ± 18.1 years, and 361 patients (57.2%) were male. The mean estimated glomerular filtration rate by serum creatinine (Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI]) was 68.0 ± 45.7 mL/min/1.73 m2. The mean systolic blood pressure was higher in 2017, 2018, and 2019 than in 2013 (P = .002). Hypertension (47.4%) was the most common comorbid disease, followed by diabetes (18.2%) and dyslipidemia (10.9%). Common clinical syndromes at the time of biopsy were renal insufficiency (42.0%) and nephrotic syndrome (33.9%). The prevalence of primary and secondary glomerular disease and tubulointerstitial disease were 71.4%, 16.9%, and 5.4%, respectively. Immunoglobulin A nephropathy was the most common primary glomerular disease (34.9%). Diabetic nephropathy was the most common secondary glomerular disease, followed by lupus nephritis. Tubulointerstitial disease was underestimated, as in other reports. Our data can be a useful reference for diagnosing kidney disease and understanding the patients in our province.
Keyphrases
- end stage renal disease
- chronic kidney disease
- blood pressure
- diabetic nephropathy
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- heart failure
- type diabetes
- prognostic factors
- ultrasound guided
- risk factors
- metabolic syndrome
- adipose tissue
- insulin resistance
- skeletal muscle
- fine needle aspiration
- patient reported
- heart rate
- quality improvement
- artificial intelligence
- combination therapy