Improving the Prediction of Mortality in the High Model for End-Stage Liver Disease Score Liver Transplant Recipient: A Role for the Left Atrial Volume Index
Autor: | Jennifer Scovotti, Gabriel Vorobiof, Christopher Wray, J. S. Gordin, Randolph H. Steadman, Brent D. Ershoff, David Elashoff |
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Rok vydání: | 2017 |
Předmět: |
Adult
Male medicine.medical_specialty Severity of Illness Index End Stage Liver Disease 03 medical and health sciences Liver disease 0302 clinical medicine Model for End-Stage Liver Disease Liver Function Tests Risk Factors Internal medicine medicine Humans 030212 general & internal medicine Aged Proportional Hazards Models Retrospective Studies Transplantation Heart Failure Diastolic medicine.diagnostic_test Proportional hazards model business.industry Retrospective cohort study Middle Aged medicine.disease Confidence interval Transplant Recipients Liver Transplantation body regions Echocardiography Heart failure Cardiology 030211 gastroenterology & hepatology Surgery Female Liver function tests business |
Zdroj: | Transplantation proceedings. 50(5) |
ISSN: | 1873-2623 |
Popis: | Left atrial volume index (LAVI) is an echocardiographic measurement used in assessing diastolic dysfunction, and is associated with mortality in many populations. In this retrospective cohort study including 254 patients, we investigated whether LAVI is an independent predictor of post–liver transplantation mortality using multivariable Cox regression. We found that elevated LAVI was associated with increased mortality among patients with high Model for End-Stage Liver Disease (MELD) scores, but not among those with lower MELD scores, indicating that recipients with high LAVI values and high MELD scores may represent patients at an increased risk of post-transplantation mortality. Specifically, there was a statistically significant interaction between LAVI and MELD score (P = .006) such that for patients with MELD scores ≥33, LAVI >27 mL/m2 was associated with increased mortality (hazard ratio = 2.3; 95% confidence interval, 1.04–5.20; P = .04.) We further show that the inclusion of LAVI in a multivariable model led to a statistically significant improvement in the ability to predict post–liver transplantation mortality, with an increase in the model's C-statistic from 0.68 to 0.71. The incorporation of LAVI in multivariable risk models may be useful in the selection of transplant recipients with high MELD scores, and may be helpful in decreasing the probability of futile transplantation. |
Databáze: | OpenAIRE |
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