https://doi.org/10.4081/monaldi.2024.3099
Prediction of spirometry outcome in Croatian patients with chronic obstructive pulmonary disease
Submitted: June 25, 2024
Accepted: September 20, 2024
Published: November 15, 2024
Accepted: September 20, 2024
Abstract Views: 431
PDF_EARLY VIEW: 98
SUPPLEMENTARY MATERIAL: 24
SUPPLEMENTARY MATERIAL: 24
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The current study offers an extensive examination of the influence of 29 diverse parameters on spirometry measurement variables in a cohort of 534 patients with chronic obstructive pulmonary disease (COPD) from five different centers in Croatia. The study elucidates both the magnitude and direction of the effect exerted by the 29 predictors on forced vital capacity (FVC), forced expiratory volume in one second (FEV1), the ratio FEV1/FVC, and predicted forced expiratory flow at 50% of FVC. Additionally, the development of prediction models for these parameters has been undertaken using several statistical methods. The study identifies fat-free mass index, 6-minute walk distance, predicted diffusing capacity of the lung for carbon monoxide, arterial partial pressure of oxygen, and both arterial and tissue hemoglobin oxygen saturation percentage as robust positive predictors for all four spirometry parameters. Body mass index is recognized as a weak positive predictor for FEV1 and FEV1/FVC, commonly observed in COPD patients. As expected, smoking years is identified as a strong negative predictor for all four spirometry parameters, while age and illness duration exhibit strong predictive negative associations. Furthermore, modified medical research council, arterial partial pressure carbon dioxide, St George's respiratory questionnaire, COPD assessment test, depression anxiety stress scales, and nutritional risk screening are identified as weak negative predictors. Charlson comorbidity index, phase angle, and number of comorbidities do not exhibit a significant impact on spirometry variables. Ultimately, the performed factorial analysis categorized the 29 parameters into five groups, which were identified as relating to lung function, health status, nutritional status, age, and smoking. Multiple regression analysis, including four newly derived parameters based on the results of factorial analysis, identified nutritional status as a positive predictor for spirometry readings, while smoking, poor health status, and age were identified as negative predictors in successive order.
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Ethics Approval
The study protocol was approved by the Ethical Review Committee of the University of University Hospital Centre Zagreb (ID 02/18 AG) as well as by the Ethical Committee of the University Hospital Centre Rijeka, the University Hospital Centre Osijek and Zadar General Hospital.How to Cite
Bešić, Erim, Davorka Muršić, Tajana Jalušić Glunčić, Jelena Ostojić, Sanda Škrinjarić-Cincar, Martina Dokoza, Nataša Karamarković Lazarušić, Miroslav Samaržija, and Andrea Vukić Dugac. 2024. “Prediction of Spirometry Outcome in Croatian Patients With Chronic Obstructive Pulmonary Disease”. Monaldi Archives for Chest Disease, November. https://doi.org/10.4081/monaldi.2024.3099.
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