{"title":"Prognostic and Diagnostic Value of Platelet Distribution Width in COPD Patients with Pulmonary Hypertension: A Retrospective Study.","authors":"Xiang Xie, Yan Wang, Suochen Tian, Dongming Cao","doi":"10.1002/bab.2723","DOIUrl":null,"url":null,"abstract":"<p><p>The objective of the study was to investigate the value of platelet distribution width (PDW) as a prognostic biomarker by comparing PDW between COPD patients with pulmonary hypertension (PH) (PASP 50 mmHg) and those without PH (PASP < 50 mmHg) and to explore its diagnostic and predictive value in this population. A retrospective study of 270 COPD patients in Liaocheng People's Hospital (July 2018 to July 2019) was done by dividing them into two groups according to pulmonary artery systolic pressure (PASP): COPD-only (PASP <50 mmHg) and COPD with PH (PASP ≥50 mmHg). Routine blood tests, C-reactive protein, pulmonary function tests, echocardiography, Chronic Obstructive Pulmonary Disease Assessment Questionnaire (CAT), Clinical COPD Questionnaire were performed. PDW was higher in COPD with PH group than COPD-only group. After adjusting for confounders including age, smoking history, CAT scores, white blood cell count, PDW, and NT-proBNP in COPD with PH, PDW was positively correlated with various parameters. PDW can diagnose COPD with PH, also prognostic value and cardiovascular distinction in these patients. The study concluded that PDW is a prognostic marker, reflecting pulmonary and cardiovascular physiology in COPD patients with PH. It can be used for early diagnosis, risk stratification, and individualized management for this high-risk population.</p>","PeriodicalId":9274,"journal":{"name":"Biotechnology and applied biochemistry","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology and applied biochemistry","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/bab.2723","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of the study was to investigate the value of platelet distribution width (PDW) as a prognostic biomarker by comparing PDW between COPD patients with pulmonary hypertension (PH) (PASP 50 mmHg) and those without PH (PASP < 50 mmHg) and to explore its diagnostic and predictive value in this population. A retrospective study of 270 COPD patients in Liaocheng People's Hospital (July 2018 to July 2019) was done by dividing them into two groups according to pulmonary artery systolic pressure (PASP): COPD-only (PASP <50 mmHg) and COPD with PH (PASP ≥50 mmHg). Routine blood tests, C-reactive protein, pulmonary function tests, echocardiography, Chronic Obstructive Pulmonary Disease Assessment Questionnaire (CAT), Clinical COPD Questionnaire were performed. PDW was higher in COPD with PH group than COPD-only group. After adjusting for confounders including age, smoking history, CAT scores, white blood cell count, PDW, and NT-proBNP in COPD with PH, PDW was positively correlated with various parameters. PDW can diagnose COPD with PH, also prognostic value and cardiovascular distinction in these patients. The study concluded that PDW is a prognostic marker, reflecting pulmonary and cardiovascular physiology in COPD patients with PH. It can be used for early diagnosis, risk stratification, and individualized management for this high-risk population.
期刊介绍:
Published since 1979, Biotechnology and Applied Biochemistry is dedicated to the rapid publication of high quality, significant research at the interface between life sciences and their technological exploitation.
The Editors will consider papers for publication based on their novelty and impact as well as their contribution to the advancement of medical biotechnology and industrial biotechnology, covering cutting-edge research in synthetic biology, systems biology, metabolic engineering, bioengineering, biomaterials, biosensing, and nano-biotechnology.