Key result
Combining biomarkers, bioimpedance, and VExUS accurately detects clinical congestion in advanced non-dialysis CKD with ~0.94 AUC.
Why the study?
Volume overload is common in advanced CKD, but clinical assessment alone may underestimate venous and tissue congestion. BNP, CA-125, bioimpedance-derived fluid ratios, and Venous Excess Ultrasound Score (VExUS) may provide complementary information for detecting congestion in non-dialysis CKD G5.
Does a combined multimodal assessment of BNP, CA-125, bioimpedance (ECW/TBW), and VExUS accurately discriminate clinical congestion in adults with non-dialysis CKD stage 5?
Observational (n=47)
Yes
Does a combined multimodal assessment of BNP, CA-125, bioimpedance (ECW/TBW), and VExUS accurately discriminate clinical congestion in adults with non-dialysis CKD stage 5?
Combining BNP, CA-125, bioimpedance (ECW/TBW), and VExUS provides high diagnostic accuracy (AUC 0.94) for identifying clinical congestion in non-dialysis stage 5 CKD patients.
Answers are grounded in this paper and cite their sources.
May aid congestion detection in non-dialysis CKD G5; hypothesis-generating and requires prospective validation before clinical adoption.
Background Volume overload is common in advanced chronic kidney disease (CKD), but clinical assessment alone may underestimate venous and tissue congestion. BNP, CA-125, bioimpedance-derived fluid ratios, and Venous Excess Ultrasound Score (VExUS) may provide complementary information in non-dialysis CKD G5. Methods We conducted a two-center prospective observational pilot study including 47 adults with non-dialysis CKD G5 from two general hospitals in Mexico City. Patients were classified according to clinical congestion. BNP, CA-125, bioimpedance parameters, and VExUS were compared between groups. A combined logistic regression model was built using BNP, CA-125, ECW/TBW, and VExUS. Results Thirty-two patients had clinical congestion and 15 had no clinical congestion. Baseline age, sex, weight, diabetes, hypertension, loop diuretic use, albumin, and creatinine were generally similar between groups. Patients with clinical congestion had higher BNP levels [1169 (990-1638) vs. 889 (789-1050) pg/mL; p=0.007] and higher CA-125 levels [100 (89-110) vs. 79 (76-95) U/mL; p=0.002]. VExUS scores were higher in the congestion group (p=0.03), and ECW/TBW was also increased (0.40±0.04 vs. 0.33±0.18; p=0.01). The combined model showed high discriminatory performance for identifying clinical congestion: AUC 0.94, sensitivity 0.90, and specificity 1.00. In multivariable analysis, ECW/TBW remained significantly associated with clinical congestion (p=0.014), while VExUS showed a statistical trend (p=0.051). Conclusion In non-dialysis CKD G5, BNP, CA-125, VExUS, and bioimpedance identified a multimodal congestion phenotype. A combined model showed strong discriminatory performance for clinical congestion, supporting multimodal congestion assessment in advanced CKD and warranting larger validation studies.
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Erick Edgar Ramirez Badillo (2026) conducted an observational in Nondialysis-dependent CKD Stage 5 (n=47). Multimodal congestion assessment (BNP, CA-125, bioimpedance ECW/TBW, and VExUS) vs. Patients without clinical congestion was evaluated on Discriminatory performance for identifying clinical congestion (AUC 0.94). A combined model of BNP, CA-125, ECW/TBW, and VExUS demonstrated high discriminatory performance for detecting clinical congestion in non-dialysis CKD G5 (AUC 0.94, sensitivity 0.90, specificity 1.00).
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