Literature DB >> 34166958

Association of baseline diaphragm, rectus femoris and vastus intermedius muscle thickness with weaning from mechanical ventilation.

Berrin Er1, Meltem Simsek2, Mehmet Yildirim3, Burcin Halacli4, Serpil Ocal5, Ebru Ortac Ersoy6, Ahmet Ugur Demir7, Arzu Topeli8.   

Abstract

BACKGROUND: To determine whether baseline diaphragm (Tdi), rectus femoris (RF) and vastus intermedius (VI) muscle thickness (TRF and TRF + VI) are associated with weaning success.
MATERIAL AND METHODS: Right Tdi, TRF and TRF + VI were measured by ultrasonography within 36 h of intubation and diaphragmatic excursion (DE) was evaluated at the first spontaneous breathing trial in adult critically-ill patients. Reintubation or death within 7 days after extubation was defined as weaning failure. Weaning failure and success groups were compared in terms of ultrasonographic measurements and clinical features.
RESULTS: Thirty-eight patients were assessed for weaning, 15 (39.4%) being in the weaning failure group. The median body mass index (BMI) was lower while the median clinical frailty scale (CFS), vasopressor use, duration of mechanical ventilation, intensive care and hospital mortality rate were higher in the weaning failure group, and the median TRF + VI (14.0 [12.3-26.2] vs 23.6 [21.3-27.1] mm, p = 0.03) and median DE (19.4 [14.6-24.0] vs 25.9 [19.3-38.5] mm, p = 0.045) were lower. The median Tdi was similar in two groups (1.9 [1.5-2.3] vs 2.0 [1.7-2.4] mm, p = 0.26). In ROC analysis, area under the curve for TRF + VI was 0.71 (95% CI: 0.51-0.90; p = 0.035), with 21 mm cut-off having sensitivity of 82% and specificity of 57%. Binary logistic regression analysis revealed TRF + VI < 21 mm as the only predictor of weaning failure with an odds ratio of 10.5 (95% CI: 1.1-97.8, p = 0.038) after adjusting for age, sex, BMI and CFS.
CONCLUSIONS: TRF + VI lower than 21 mm, measured by ultrasonography within 36 h of intubation, was associated with weaning failure among critically-ill patients.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Critical care; Intensive care; Liberation from mechanical ventilation; Quadriceps femoris; Respiratory failure; Ultrasound

Mesh:

Year:  2021        PMID: 34166958     DOI: 10.1016/j.rmed.2021.106503

Source DB:  PubMed          Journal:  Respir Med        ISSN: 0954-6111            Impact factor:   3.415


  1 in total

1.  Development and validation of a machine-learning model for prediction of hypoxemia after extubation in intensive care units.

Authors:  Ming Xia; Chenyu Jin; Shuang Cao; Bei Pei; Jie Wang; Tianyi Xu; Hong Jiang
Journal:  Ann Transl Med       Date:  2022-05
  1 in total

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