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Combined B-type Natriuretic Peptide as strong predictor of short-term mortality in patients after Liver
Hyun Sik Chung1, AMi Woo1, Min Suk Chae2
1Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Insights
A novel combined B-type natriuretic peptide (cBNP) model effectively predicts 1-month mortality in liver transplant (LT) patients. This biomarker offers improved risk stratification for post-transplant outcomes.
Area of Science:
- Cardiology
- Hepatology
- Transplantation Medicine
Background:
- B-type natriuretic peptide (BNP) is a known prognostic marker in cardiac and renal diseases.
- Prognostic value of BNP in advanced liver disease and post-liver transplantation (LT) remains understudied.
- This study investigates BNP's predictive capability for LT patient prognosis.
Purpose of the Study:
- To evaluate the efficacy of B-type natriuretic peptide (BNP) in predicting short-term mortality after liver transplantation (LT).
- To assess the diagnostic accuracy of individual BNP measurements and a novel combined BNP (cBNP) model.
- To establish optimal cutoff values for cBNP for risk stratification.
Main Methods:
- Retrospective analysis of 187 liver transplant (LT) patients.
- Serum BNP levels measured at four perioperative time points: pre-anhepatic (T1), anhepatic (T2), neohepatic (T3), and postoperative day 1 (T4).
- A combined BNP (cBNP) model was developed using logistic regression (T2 and T4 measurements); predictive accuracy assessed via AUROC analysis.
Main Results:
- 1-month post-LT mortality rate was 7.5% (14/187), with sepsis as the primary cause.
- MELD and MELD-Na scores showed acceptable prediction (AUROC 0.714, 0.690).
- Individual BNP measurements demonstrated excellent predictive ability (AUROC 0.864-0.963); the cBNP model showed outstanding prediction (AUROC 0.976).
Conclusions:
- The combined BNP (cBNP) model significantly improves the prediction of 1-month mortality following liver transplantation (LT).
- cBNP serves as a valuable biomarker for stratifying mortality risk in LT recipients.
- This model can aid clinicians in identifying high-risk patients for closer monitoring and intervention.
Abstract:
Background: B-type natriuretic peptide (BNP) is a well-known predictor for prognosis in patients with cardiac and renal diseases. However, there is a lack of studies in patients with advanced hepatic disease, especially patients who underwent liver transplantation (LT). We evaluated whether BNP could predict the prognosis of patients who underwent LT. Material and Methods: The data from a total of 187 patients who underwent LT were collected retrospectively. The serum levels of BNP were acquired at four time points, the pre-anhepatic (T1), anhepatic (T2), and neohepatic phases (T3), and on postoperative day 1 (T4). The patients were dichotomized into survival and non-survival groups for 1-month mortality after LT. Combined BNP (cBNP) was calculated based on conditional logistic regression analysis of pairwise serum BNP measurements at two time points, T2 and T4. The area under the receiver operating characteristic curve (AUROC) was analyzed to determine the diagnostic accuracy and cut-off value of the predictive models, including cBNP. Results: Fourteen patients (7.5 %) expired within one month after LT. The leading cause of death was sepsis (N = 9, 64.3 %). The MELD and MELD-Na scores had an acceptable predictive ability for 1-month mortality (AUROC = 0.714, and 0.690, respectively). The BNPs at each time point (T1 - T4) showed excellent predictive ability (AUROC = 0.864, 0.962, 0.913, and 0.963, respectively). The cBNP value had an outstanding predictive ability for 1-month mortality after LT (AUROC = 0.976). The optimal cutoff values for cBNP at T2 and T4 were 137 and 187, respectively. Conclusions: The cBNP model showed the improved predictive ability for mortality within 1-month of LT. It could help clinicians stratify mortality risk and be a useful biomarker in patients undergoing LT.
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