{"title":"Clinical and Paraclinical Characteristics and Predictive Factors of Chronic Obstructive Pulmonary Exacerbation.","authors":"Hoang Thuy, Nguyen Dinh Tien, Nguyen Thi Huong Giang, Nguyen Thi Nguyet, Nguyen Ngoc Nghia, Tran Thi Ly","doi":"10.5455/msm.2025.37.32-36","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chronic obstructive pulmonary disease (COPD) is a common global condition, yet real-world data on exacerbations in Vietnamese patients remains limited. This highlights the need for further exploration of clinical complexities in this population.</p><p><strong>Objective: </strong>The aim of this study was to characterize the clinical and paraclinical features of COPD and identify predictors of exacerbation.</p><p><strong>Methods: </strong>A cross-sectional, prospective study was conducted on 180 inpatients at Vietnam National Lung Hospital from January 2016 to June 2021. Clinical and paraclinical data were collected.</p><p><strong>Results: </strong>The mean patient age was 69.38 ± 9.40 years, with 92.8% male. Common symptoms included dyspnea (97.8%), cough (85.6%), and expectoration (80.0%). GOLD stage distribution was: GOLD III (53.7%), GOLD IV (29.3%), and GOLD II (17.0%). Significant predictors of exacerbation included smoking (OR=2.79), comorbidities (OR=3.95), increased dyspnea (OR=14.83), increased sputum (OR=3.13), decreased alveolar murmur (OR=4.11), wheezing (OR=2.70), white blood cell count ≥10 G/L (OR=4.79), GOLD group D (OR=9.75), and FEV1 <30% (GOLD IV) (OR=7.51) (p < 0.05).</p><p><strong>Conclusion: </strong>Clinical and paraclinical predictors can aid in forecasting and mitigating COPD exacerbations.</p>","PeriodicalId":94128,"journal":{"name":"Materia socio-medica","volume":"37 1","pages":"32-36"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910905/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materia socio-medica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/msm.2025.37.32-36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Chronic obstructive pulmonary disease (COPD) is a common global condition, yet real-world data on exacerbations in Vietnamese patients remains limited. This highlights the need for further exploration of clinical complexities in this population.
Objective: The aim of this study was to characterize the clinical and paraclinical features of COPD and identify predictors of exacerbation.
Methods: A cross-sectional, prospective study was conducted on 180 inpatients at Vietnam National Lung Hospital from January 2016 to June 2021. Clinical and paraclinical data were collected.
Results: The mean patient age was 69.38 ± 9.40 years, with 92.8% male. Common symptoms included dyspnea (97.8%), cough (85.6%), and expectoration (80.0%). GOLD stage distribution was: GOLD III (53.7%), GOLD IV (29.3%), and GOLD II (17.0%). Significant predictors of exacerbation included smoking (OR=2.79), comorbidities (OR=3.95), increased dyspnea (OR=14.83), increased sputum (OR=3.13), decreased alveolar murmur (OR=4.11), wheezing (OR=2.70), white blood cell count ≥10 G/L (OR=4.79), GOLD group D (OR=9.75), and FEV1 <30% (GOLD IV) (OR=7.51) (p < 0.05).
Conclusion: Clinical and paraclinical predictors can aid in forecasting and mitigating COPD exacerbations.
背景:慢性阻塞性肺病(COPD)是一种全球常见疾病,但越南患者病情加重的实际数据仍然有限。这凸显了进一步探索这一人群临床复杂性的必要性:本研究旨在描述慢性阻塞性肺病的临床和辅助临床特征,并确定病情加重的预测因素:2016年1月至2021年6月,越南国立肺科医院对180名住院患者进行了横断面前瞻性研究。结果:患者平均年龄为 69.38 岁:患者平均年龄为(69.38±9.40)岁,92.8%为男性。常见症状包括呼吸困难(97.8%)、咳嗽(85.6%)和痰多(80.0%)。GOLD 阶段分布为GOLD III 期(53.7%)、GOLD IV 期(29.3%)和 GOLD II 期(17.0%)。病情加重的重要预测因素包括吸烟(OR=2.79)、合并症(OR=3.95)、呼吸困难加重(OR=14.83)、痰液增多(OR=3.13)、肺泡杂音减少(OR=4.11)、喘息(OR=2.70)、白细胞计数≥10 G/L(OR=4.79)、GOLD D 组(OR=9.75)和 FEV1 结论:临床和准临床预测因子有助于预测和缓解慢性阻塞性肺疾病的恶化。