From: Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review
Reference | Biomarker | Patient Population | Variables used for multivariable analyses |
---|---|---|---|
Chen et al [29] | Urine TGF- β | Unilateral ureteral obstruction requiring percutaneous nephrostomy | NA |
Harris et al [30] | Blood TGF- β | Renal transplant recipients | Acute cellular rejection |
Wong et al [31] | Blood total and active TGF- β 1 | Type II diabetes | Sex, age, baseline eGFR, randomized treatment interventionsa, urinary albumin/creatinine ratio, hemoglobin A1c, BMI, diabetes duration, and history of macrovascular or microvascular disease |
Hsu et al [27] | Blood MMP-2 | Non diabetic patients referred for coronary angiography | Age, sex, smoking status, BMI, systolic blood pressure, fasting glucose, total cholesterol, and baseline eGFR |
Shi et al [28] | Urine MMP-2 | Chronic tubulointerstitial nephropathy | Age, baseline eGFR, mean blood pressure |
Titan et al [32] | Urine MCP-1 | Macroalbuminuric type II diabetes | Baseline creatinine clearance, baseline 24Â h proteinuria, and systolic blood pressure |
Verhave et al [33] | Urine MCP-1 | Diabetic nephropathy | Proteinuria, TGF-B |
Ogliari et al [34] | Blood MCP-1 | SPK recipients | Hemoglobin A1c, years of dialysis pre transplant, recipient BMI, enteric drainage, >1 episode of rejection, type of immunosuppression |
Nadkarni et al [35] | Urine MCP-1 | Type II diabetes | Hemoglobin A1c, mean arterial pressure, history of cardiovascular disease, intensive glycemic and blood pressure control, fibrates, angiotensin receptor blockers, angiotensin converting enzyme inhibitors, thiazolidinedione, baseline eGFR, urinary albumin-creatinine ratio. |