Objectives: Pulmonary dead-space fraction is one of few lung-specific independent predictors of mortality from acute respiratory distress syndrome. However, it is not measured routinely in clinical trials and thus altogether ignored in secondary analyses that shape future research directions and clinical practice. This study sought to validate an estimate of dead-space fraction for use in secondary analyses of clinical trials.
Design: Analysis of patient-level data pooled from acute respiratory distress syndrome clinical trials. Four approaches to estimate dead-space fraction were evaluated: three required estimating metabolic rate; one estimated dead-space fraction directly.
Setting: U.S. academic teaching hospitals.
Patients: Data from 210 patients across three clinical trials were used to compare performance of estimating equations with measured dead-space fraction. A second cohort of 3,135 patients from six clinical trials without measured dead-space fraction was used to confirm whether estimates independently predicted mortality.
Interventions: None.
Measurements And Main Results: Dead-space fraction estimated using the unadjusted Harris-Benedict equation for energy expenditure was unbiased (mean ± SD Harris-Benedict, 0.59 ± 0.13; measured, 0.60 ± 0.12). This estimate predicted measured dead-space fraction to within ±0.10 in 70% of patients and ±0.20 in 95% of patients. Measured dead-space fraction independently predicted mortality (odds ratio, 1.36 per 0.05 increase in dead-space fraction; 95% CI, 1.10-1.68; p < 0.01). The Harris-Benedict estimate closely approximated this association with mortality in the same cohort (odds ratio, 1.55; 95% CI, 1.21-1.98; p < 0.01) and remained independently predictive of death in the larger Acute Respiratory Distress Syndrome Network cohort. Other estimates predicted measured dead-space fraction or its association with mortality less well.
Conclusions: Dead-space fraction should be measured in future acute respiratory distress syndrome clinical trials to facilitate incorporation into secondary analyses. For analyses where dead-space fraction was not measured, the Harris-Benedict estimate can be used to estimate dead-space fraction and adjust for its association with mortality.
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http://dx.doi.org/10.1097/CCM.0000000000000921 | DOI Listing |
Eur Rev Med Pharmacol Sci
November 2024
Athens General Hospital "Evangelismos", Athens, Greece.
Objective: Acute respiratory distress syndrome (ARDS) is a systemic disease with high morbidity and mortality. Dead space fraction (Vd/Vt) represents the volume of air that does not participate in gas exchange and accurately depicts the pathophysiology of ARDS due to ventilation and perfusion mismatch. In this study, we aim to conduct a systematic review and meta-analysis regarding its usefulness for predicting mortality.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
November 2024
Facultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, KM 299, 50830 Villanueva de Gállego, Zaragoza, Spain.
J Clin Anesth
December 2024
Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, China. Electronic address:
Sci Rep
October 2024
Department of Medical Physics and Informatics, University of Szeged, 9 Korányi Fasor, Szeged, 6720, Hungary.
Capnography, routinely used in operating rooms and intensive care units, reveals essential information on lung ventilation and ventilation-perfusion matching. Mainstream capnography directly measures CO in the breathing circuit for accurate analysis and is considered a reference technique. Sidestream capnography, however, analyzes gas away from the patient leading to potentially less accurate measures.
View Article and Find Full Text PDFCardiol Young
October 2024
Department of Surgery, The Ohio State University, Columbus, OH, USA.
Objective: Our objective was to assess the predictive value of physiologic dead space fraction for mortality in patients undergoing the comprehensive stage 2 operation.
Methods: This was a single-centre retrospective observational study conducted at a quaternary free-standing children's hospital specialising in hybrid palliation of single ventricle cardiac disease. 180 patients underwent the comprehensive stage 2 operation.
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