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Association of physiological reserve measures with adverse outcomes following liver transplantation.
Kimber, James S; Woodman, Richard J; Narayana, Sumudu K; John, Libby; Ramachandran, Jeyamani; Schembri, David; Chen, John W C; Muller, Kate R; Wigg, Alan J.
Afiliação
  • Kimber JS; Faculty of Health and Medical Sciences University of Adelaide Adelaide South Australia Australia.
  • Woodman RJ; College of Medicine and Public Health Flinders University of South Australia Adelaide South Australia Australia.
  • Narayana SK; Hepatology and Liver Transplant Unit Flinders Medical Centre Adelaide South Australia Australia.
  • John L; South Australian Liver Transplant Unit Flinders Medical Centre Adelaide South Australia Australia.
  • Ramachandran J; College of Medicine and Public Health Flinders University of South Australia Adelaide South Australia Australia.
  • Schembri D; Hepatology and Liver Transplant Unit Flinders Medical Centre Adelaide South Australia Australia.
  • Chen JWC; South Australian Liver Transplant Unit Flinders Medical Centre Adelaide South Australia Australia.
  • Muller KR; Respiratory Function Unit Flinders Medical Centre Adelaide South Australia Australia.
  • Wigg AJ; Hepatology and Liver Transplant Unit Flinders Medical Centre Adelaide South Australia Australia.
JGH Open ; 6(2): 132-138, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35155823
ABSTRACT
BACKGROUND AND

AIM:

The comparative utility of physiological reserve measures in predicting important clinical outcomes following liver transplantation (LT) requires further study. The aim of this work was therefore to compare the utility of physiological reserve measures in predicting early adverse clinical outcomes post-LT.

METHODS:

A single-center, retrospective cohort study of LT patients consecutively recruited between 1 January 2015, and 31 August 2020. Outcomes measured were sepsis and death within 12 months of LT, hospital length of stay (LOS), and intensive care LOS. Physiological reserve measures were handgrip strength, mid-arm muscle circumference, and cardiopulmonary exercise testing (CPET) measures. Analysis was performed using univariate and multivariate logistic regression for sepsis and death, and univariate and multivariate Cox regression for hospital and intensive care LOS.

RESULTS:

Data were obtained for 109 subjects. Patients were predominantly (64%) male with a median (interquartile range [IQR]) age of 57 (49-63) and median (IQR) Model for End-Stage Liver Disease score of 16 (11-21). In multivariate analysis, the odds of sepsis were lower in patients in the highest versus lowest tertile (odds ratio = 0.004; 95% confidence interval [CI] 0.00-0.13; P = 0.002). Hospital LOS was linearly associated with handgrip strength (hazard ratio [HR] = 1.03; 95% CI 1.00-1.06; P = 0.03) in multivariate analysis. Intensive care LOS was associated with peak VO2 (HR 1.83; 95% CI 1.06-3.16; P = 0.03) and VE/VCO2 slope (HR 0.71; 95% CI 0.58-0.88; P = 0.002) in multivariate analysis.

CONCLUSION:

Handgrip strength and CPET both identify candidates at high risk of adverse outcomes after LT.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JGH Open Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JGH Open Ano de publicação: 2022 Tipo de documento: Article