Literature DB >> 20048215

Model for end-stage liver disease score predicts left ventricular assist device operative transfusion requirements, morbidity, and mortality.

Jennifer C Matthews1, Francis D Pagani, Jonathan W Haft, Todd M Koelling, David C Naftel, Keith D Aaronson.   

Abstract

BACKGROUND: The Model for End-Stage Liver Disease (MELD) predicts events in cirrhotic subjects undergoing major surgery and may offer similar prognostication in left ventricular assist device candidates with comparable degrees of multisystem dysfunction. METHODS AND
RESULTS: Preoperative MELD scores were calculated for subjects enrolled in the University of Michigan Health System (UMHS) mechanical circulatory support database. Univariate and multiple regression analyses were performed to investigate the ability of patient characteristics, laboratory data (including MELD scores), and hemodynamic measurements to predict total perioperative blood product exposure and operative mortality. The ability of preoperative MELD scores to predict operative mortality was evaluated in subjects enrolled in the Interagency Registry of Mechanically Assisted Circulatory Support (INTERMACS), and results were compared with those from the UMHS cohort. The mean+/-SD MELD scores for the UMHS (n=211) and INTERMACS (n=324) cohorts were 13.7+/-6.1 and 15.2+/-5.8, respectively, with 29 (14%) and 19 (6%) perioperative deaths. In the UMHS cohort, median total perioperative blood product exposure was 74 units (25th and 75th percentiles, 44 and 120 units). Each 5-unit MELD score increase was associated with 15.1+/-3.8 units (beta+/-SE) of total perioperative blood product exposure. Each 10-unit increase in total perioperative blood product exposure increased the odds of operative death (odds ratio, 1.05; 95% confidence interval, 1.01 to 1.10). Odds ratios, measuring the ability of MELD scores to predict perioperative mortality, were 1.5 (95% confidence interval, 1.1 to 2.0) and 1.5 (95% confidence interval, 1.1 to 2.1) per 5 MELD units for the UMHS and INTERMACS cohorts, respectively. When MELD scores were dichotomized as >or=17 and <17, risk-adjusted Cox proportional-hazard ratios for 6-month mortality were 2.5 (95% confidence interval, 1.2 to 5.3) and 2.5 (95% confidence interval, 1.1 to 5.4) for the UMHS and INTERMACS cohorts, respectively.
CONCLUSIONS: The MELD score identified left ventricular assist device candidates at high risk for perioperative bleeding and mortality.

Entities:  

Mesh:

Year:  2010        PMID: 20048215      PMCID: PMC2824259          DOI: 10.1161/CIRCULATIONAHA.108.838656

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  21 in total

1.  Mechanical circulatory support device database of the International Society for Heart and Lung Transplantation: third annual report--2005.

Authors:  Mario C Deng; Leah B Edwards; Marshall I Hertz; Amanda W Rowe; Berkeley M Keck; Robert Kormos; David C Naftel; James K Kirklin; David O Taylor
Journal:  J Heart Lung Transplant       Date:  2005-09       Impact factor: 10.247

2.  Model for End-Stage Liver Disease (MELD) predicts nontransplant surgical mortality in patients with cirrhosis.

Authors:  Patrick G Northup; Ryan C Wanamaker; Vanessa D Lee; Reid B Adams; Carl L Berg
Journal:  Ann Surg       Date:  2005-08       Impact factor: 12.969

3.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

Authors:  M Malinchoc; P S Kamath; F D Gordon; C J Peine; J Rank; P C ter Borg
Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

4.  A comparison of transfusion requirements between living donation and cadaveric donation liver transplantation: relationship to model of end-stage liver disease score and baseline coagulation status.

Authors:  Peter E Frasco; Karl A Poterack; Joseph G Hentz; David C Mulligan
Journal:  Anesth Analg       Date:  2005-07       Impact factor: 5.108

5.  Preventing, minimizing, and managing postoperative bleeding.

Authors:  A Pavie; J Szefner; P Leger; I Gandjbakhch
Journal:  Ann Thorac Surg       Date:  1999-08       Impact factor: 4.330

6.  The safety of intra-abdominal surgery in patients with cirrhosis: model for end-stage liver disease score is superior to Child-Turcotte-Pugh classification in predicting outcome.

Authors:  Alex S Befeler; Dean E Palmer; Martin Hoffman; Walter Longo; Harvey Solomon; Adrian M Di Bisceglie
Journal:  Arch Surg       Date:  2005-07

7.  Increased mortality, postoperative morbidity, and cost after red blood cell transfusion in patients having cardiac surgery.

Authors:  Gavin J Murphy; Barnaby C Reeves; Chris A Rogers; Syed I A Rizvi; Lucy Culliford; Gianni D Angelini
Journal:  Circulation       Date:  2007-11-12       Impact factor: 29.690

8.  Platelet transfusions are associated with the development of anti-major histocompatibility complex class I antibodies in patients with left ventricular assist support.

Authors:  N Moazami; S Itescu; M R Williams; M Argenziano; A Weinberg; M C Oz
Journal:  J Heart Lung Transplant       Date:  1998-09       Impact factor: 10.247

9.  Preoperative characteristics and intraoperative transfusion and vasopressor requirements in patients with low vs. high MELD scores.

Authors:  Victor W Xia; Bin Du; Michelle Braunfeld; Gundappa Neelakanta; Ke-Qin Hu; Hamid Nourmand; Philip Levin; Ronald Enriquez; Jonathan R Hiatt; R Mark Ghobrial; Douglas G Farmer; Ronald W Busuttil; Randolph H Steadman
Journal:  Liver Transpl       Date:  2006-04       Impact factor: 5.799

10.  Use of aprotinin in LVAD recipients reduces blood loss, blood use, and perioperative mortality.

Authors:  D J Goldstein; J A Seldomridge; J M Chen; K A Catanese; C M DeRosa; A D Weinberg; C R Smith; E A Rose; H R Levin; M C Oz
Journal:  Ann Thorac Surg       Date:  1995-05       Impact factor: 4.330

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  41 in total

Review 1.  The future of left ventricular assist devices.

Authors:  Ahmet Kilic
Journal:  J Thorac Dis       Date:  2015-12       Impact factor: 2.895

2.  Preoperative patient optimization for mechanical circulatory support.

Authors:  Brian A Houston; Stuart D Russell
Journal:  Ann Cardiothorac Surg       Date:  2014-11

3.  Liver Strain Using Feature Tracking of Cine Cardiac Magnetic Resonance Imaging: Assessment of Liver Dysfunction in Patients with Fontan Circulation and Tetralogy of Fallot.

Authors:  Ryoko Ohashi; Michinobu Nagao; Umiko Ishizaki; Yumi Shiina; Kei Inai; Shuji Sakai
Journal:  Pediatr Cardiol       Date:  2019-12-18       Impact factor: 1.655

4.  Should women receive left ventricular assist device support?: findings from INTERMACS.

Authors:  Eileen M Hsich; David C Naftel; Susan L Myers; Eiran Z Gorodeski; Kathleen L Grady; Darlene Schmuhl; Karen L Ulisney; James B Young
Journal:  Circ Heart Fail       Date:  2012-01-18       Impact factor: 8.790

5.  Preoperative liver dysfunction influences blood product administration and alterations in circulating haemostatic markers following ventricular assist device implantation.

Authors:  Joshua R Woolley; Robert L Kormos; Jeffrey J Teuteberg; Christian A Bermudez; Jay K Bhama; Kathleen L Lockard; Nicole M Kunz; William R Wagner
Journal:  Eur J Cardiothorac Surg       Date:  2014-05-07       Impact factor: 4.191

6.  Regional differences in use and outcomes of left ventricular assist devices: Insights from the Interagency Registry for Mechanically Assisted Circulatory Support Registry.

Authors:  Selim R Krim; Rey P Vivo; Patrick Campbell; Jerry D Estep; Gregg C Fonarow; David C Naftel; Hector O Ventura
Journal:  J Heart Lung Transplant       Date:  2015-01-16       Impact factor: 10.247

Review 7.  Model for End-stage Liver Disease.

Authors:  Ashwani K Singal; Patrick S Kamath
Journal:  J Clin Exp Hepatol       Date:  2012-12-01

Review 8.  Frailty and the selection of patients for destination therapy left ventricular assist device.

Authors:  Kelsey M Flint; Daniel D Matlock; Joann Lindenfeld; Larry A Allen
Journal:  Circ Heart Fail       Date:  2012-03-01       Impact factor: 8.790

9.  Combination of liver biopsy with MELD-XI scores for post-transplant outcome prediction in patients with advanced heart failure and suspected liver dysfunction.

Authors:  Maryjane Farr; James Mitchell; Matthew Lippel; Tomoko S Kato; Zhezhen Jin; Paul Ippolito; Lorna Dove; Ulrich P Jorde; Hiroo Takayama; Jean Emond; Yoshifumi Naka; Donna Mancini; Jay H Lefkowitch; P Christian Schulze
Journal:  J Heart Lung Transplant       Date:  2014-12-23       Impact factor: 10.247

Review 10.  Mechanical circulatory support as a bridge to transplant or for destination therapy.

Authors:  Satya S Shreenivas; J Eduardo Rame; Mariell Jessup
Journal:  Curr Heart Fail Rep       Date:  2010-12
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