Literature DB >> 29096229

Lumbar skeletal muscle index derived from routine computed tomography exams predict adverse post-extubation outcomes in critically ill patients.

Georg Fuchs1, Tharusan Thevathasan2, Yves R Chretien3, Julia Mario4, Annop Piriyapatsom5, Ulrich Schmidt6, Matthias Eikermann7, Florian J Fintelmann8.   

Abstract

PURPOSE: To evaluate the effect of a skeletal muscle index derived from a routine CT image at the level of vertebral body L3 (L3SMI) on outcomes of extubated patients in the surgical intensive care unit.
MATERIALS AND METHODS: 231 patients of a prospective observational trial (NCT01967056) who had undergone CT within 5days of extubation were included. L3SMI was computed using semi-automated segmentation. Primary outcomes were pneumonia within 30days of extubation, adverse discharge disposition and 30-day mortality. Secondary outcomes included re-intubation within 72h, total hospital costs, ICU length of stay (LOS), post-extubation LOS and total hospital LOS. Outcomes were analyzed using multivariable regression models with a priori-defined covariates height, gender, age, APACHE II score and Charlson Comorbidity Index.
RESULTS: L3SMI was an independent predictor of pneumonia (aOR 0.96; 95% CI 0.941-0.986; P=0.002), adverse discharge disposition (aOR 0.98; 95% CI 0.957-0.999; P=0.044) and 30-day mortality (aOR 0.94; 95% CI 0.890-0.995; P=0.033). L3SMI was significantly lower in re-intubated patients (P=0.024). Secondary analyses suggest that L3SMI is associated with total hospital costs (P=0.043) and LOS post-extubation (P=0.048).
CONCLUSION: The lumbar skeletal muscle index, derived from routine abdominal CT, is an objective prognostic tool at the time of extubation.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adverse discharge disposition; Extubation; Hospital costs; Lumbar skeletal muscle index; Mortality; Pneumonia

Mesh:

Year:  2017        PMID: 29096229     DOI: 10.1016/j.jcrc.2017.10.033

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  6 in total

1.  ICU Admission Muscle and Fat Mass, Survival, and Disability at Discharge: A Prospective Cohort Study.

Authors:  Ariel Jaitovich; Malik M H S Khan; Ria Itty; Hau C Chieng; Camille L Dumas; Pallavi Nadendla; John P Fantauzzi; Recai M Yucel; Paul J Feustel; Marc A Judson
Journal:  Chest       Date:  2018-10-28       Impact factor: 9.410

2.  Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.

Authors:  Ryan Barnard; Josh Tan; Brandon Roller; Caroline Chiles; Ashley A Weaver; Robert D Boutin; Stephen B Kritchevsky; Leon Lenchik
Journal:  Acad Radiol       Date:  2019-07-17       Impact factor: 3.173

3.  A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

Authors:  Christopher P Bridge; Till D Best; Maria M Wrobel; J Peter Marquardt; Kirti Magudia; Cylen Javidan; Jonathan H Chung; Jayashree Kalpathy-Cramer; Katherine P Andriole; Florian J Fintelmann
Journal:  Radiol Artif Intell       Date:  2022-01-05

4.  ROUNDS Studies: Relation of OUtcomes with Nutrition Despite Severity-Round One: Ultrasound Muscle Measurements in Critically Ill Adult Patients.

Authors:  Carlos Alfredo Galindo Martín; Reyna Del Carmen Ubeda Zelaya; Enrique Monares Zepeda; Octavio Augusto Lescas Méndez
Journal:  J Nutr Metab       Date:  2018-04-01

Review 5.  Measuring and monitoring lean body mass in critical illness.

Authors:  Wilhelmus G P M Looijaard; Jeroen Molinger; Peter J M Weijs
Journal:  Curr Opin Crit Care       Date:  2018-08       Impact factor: 3.687

6.  Low thoracic muscle mass index on computed tomography predicts adverse outcomes following lobectomy via thoracotomy for lung cancer.

Authors:  Hüseyin Ulaş Çınar; Burçin Çelik; Gülten Taşkın; Özgür İnce
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-10-29
  6 in total

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