- Pulmonary
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Evaluating diaphragmatic dysfunction and predicting non-invasive ventilation failure in acute exacerbation of chronic obstructive pulmonary disease in India
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Nupur B Patel, Gaurav Jain, Udit Chauhan, Ajeet Singh Bhadoria, Saurabh Chandrakar, Haritha Indulekha
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Acute Crit Care. 2023;38(2):200-208. Published online May 25, 2023
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DOI: https://doi.org/10.4266/acc.2022.01060
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 Abstract
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- Background
Baseline diaphragmatic dysfunction (DD) at the initiation of non-invasive ventilation (NIV) correlates positively with subsequent intubation. We investigated the utility of DD detected 2 hours after NIV initiation in estimating NIV failure in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients. Methods: In a prospective-cohort design, we enrolled 60 consecutive patients with AECOPD initiated on NIV at intensive care unit admission, and NIV failure events were noted. The DD was assessed at baseline (T1 timepoint) and 2 hours after initiating NIV (T2 timepoint). We defined DD as ultrasound-assessed change in diaphragmatic thickness (ΔTDI) <20% (predefined criteria [PC]) or its cut-off that predicts NIV failure (calculated criteria [CC]) at both timepoints. A predictive-regression analysis was reported. Results: In total, 32 patients developed NIV failure, nine within 2 hours of NIV and remaining in next 6 days. The ∆TDI cut-off that predicted NIV failure (DD-CC) at T1 was ≤19.04% (area under the curve [AUC], 0.73; sensitivity, 50%; specificity, 85.71%; accuracy; 66.67%), while that at T2 was ≤35.3% (AUC, 0.75; sensitivity, 95.65%; specificity, 57.14%; accuracy, 74.51%; hazard ratio, 19.55). The NIV failure rate was 35.1% in those with normal diaphragmatic function by PC (T2) versus 5.9% by CC (T2). The odds ratio for NIV failure with DD criteria ≤35.3 and <20 at T2 was 29.33 and 4.61, while that for ≤19.04 and <20 at T1 was 6, respectively. Conclusions: The DD criterion of ≤35.3 (T2) had a better diagnostic profile compared to baseline and PC in prediction of NIV failure.
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Citations
Citations to this article as recorded by  - Advancing healthcare through thoracic ultrasound research in older patients
Simone Scarlata, Chukwuma Okoye, Sonia Zotti, Fulvio Lauretani, Antonio Nouvenne, Nicoletta Cerundolo, Adriana Antonella Bruni, Monica Torrini, Alberto Finazzi, Tessa Mazzarone, Marco Lunian, Irene Zucchini, Lorenzo Maccioni, Daniela Guarino, Silvia Fabbr
Aging Clinical and Experimental Research.2023; 35(12): 2887. CrossRef
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