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The risk of post-operative pulmonary complications in lung resection candidates with normal forced expiratory volume in 1 s and diffusing capacity of the lung for carbon monoxide: a prospective multicentre study

I. Cundrle, Z. Merta, M. Bratova, P. Homolka, L. Mitas, V. Sramek, M. Svoboda, Z. Chovanec, M. Chobola, LJ. Olson, K. Brat

. 2023 ; 9 (2) : . [pub] 20230306

Status neindexováno Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc23002752

INTRODUCTION: According to the guidelines for preoperative assessment of lung resection candidates, patients with normal forced expiratory volume in 1 s (FEV1) and diffusing capacity of the lung for carbon monoxide (DLCO) are at low risk for post-operative pulmonary complications (PPC). However, PPC affect hospital length of stay and related healthcare costs. We aimed to assess risk of PPC for lung resection candidates with normal FEV1 and DLCO (>80% predicted) and identify factors associated with PPC. METHODS: 398 patients were prospectively studied at two centres between 2017 and 2021. PPC were recorded from the first 30 post-operative days. Subgroups of patients with and without PPC were compared and factors with significant difference were analysed by uni- and multivariate logistic regression. RESULTS: 188 subjects had normal FEV1 and DLCO. Of these, 17 patients (9%) developed PPC. Patients with PPC had significantly lower pressure of end-tidal carbon dioxide (PETCO2 ) at rest (27.7 versus 29.9; p=0.033) and higher ventilatory efficiency (V'E/V'CO2 ) slope (31.1 versus 28; p=0.016) compared to those without PPC. Multivariate models showed association between resting PETCO2 (OR 0.872; p=0.035) and V'E/V'CO2 slope (OR 1.116; p=0.03) and PPC. In both models, thoracotomy was strongly associated with PPC (OR 6.419; p=0.005 and OR 5.884; p=0.007, respectively). Peak oxygen consumption failed to predict PPC (p=0.917). CONCLUSIONS: Resting PETCO2 adds incremental information for risk prediction of PPC in patients with normal FEV1 and DLCO. We propose resting PETCO2 be an additional parameter to FEV1 and DLCO for preoperative risk stratification.

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$a INTRODUCTION: According to the guidelines for preoperative assessment of lung resection candidates, patients with normal forced expiratory volume in 1 s (FEV1) and diffusing capacity of the lung for carbon monoxide (DLCO) are at low risk for post-operative pulmonary complications (PPC). However, PPC affect hospital length of stay and related healthcare costs. We aimed to assess risk of PPC for lung resection candidates with normal FEV1 and DLCO (>80% predicted) and identify factors associated with PPC. METHODS: 398 patients were prospectively studied at two centres between 2017 and 2021. PPC were recorded from the first 30 post-operative days. Subgroups of patients with and without PPC were compared and factors with significant difference were analysed by uni- and multivariate logistic regression. RESULTS: 188 subjects had normal FEV1 and DLCO. Of these, 17 patients (9%) developed PPC. Patients with PPC had significantly lower pressure of end-tidal carbon dioxide (PETCO2 ) at rest (27.7 versus 29.9; p=0.033) and higher ventilatory efficiency (V'E/V'CO2 ) slope (31.1 versus 28; p=0.016) compared to those without PPC. Multivariate models showed association between resting PETCO2 (OR 0.872; p=0.035) and V'E/V'CO2 slope (OR 1.116; p=0.03) and PPC. In both models, thoracotomy was strongly associated with PPC (OR 6.419; p=0.005 and OR 5.884; p=0.007, respectively). Peak oxygen consumption failed to predict PPC (p=0.917). CONCLUSIONS: Resting PETCO2 adds incremental information for risk prediction of PPC in patients with normal FEV1 and DLCO. We propose resting PETCO2 be an additional parameter to FEV1 and DLCO for preoperative risk stratification.
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$a Sramek, Vladimir $u Department of Anesthesiology and Intensive Care, St. Anne's University Hospital, Brno, Czech Republic $u Faculty of Medicine, Masaryk University, Brno, Czech Republic
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$a Olson, Lyle J $u Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
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