ArticleScientific reports2017
Clinical symptoms and related risk factors in pulmonary embolism patients and cluster analysis based on these symptoms.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 29 citations in OpenAlex.
- Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study.Journal of medical Internet research · 2024Article
- A Virtual Case Presentation Platform: Protocol Study.Methods and protocols · 2024Article
- Risk stratification and contributing factors of deep vein thrombosis among patients admitted at Debre Markos comprehensive specialized hospital, Ethiopia in 2024.Frontiers in medicine · 2024Article
- Acute Pulmonary Embolism in Oman: A Situational Analysis.Oman medical journal · 2023Article
- A nomogram for predicting the risk of pulmonary embolism in neurology department suspected PE patients: A 10-year retrospective analysis.Frontiers in neurology · 2023Article
- Dilemmas in the Choice of Adequate Therapeutic Treatment in Patients with Acute Pulmonary Embolism-From Modern Recommendations to Clinical Application.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Article
- Clinical Phenotypes With Prognostic Implications in Pulmonary Embolism Patients With Syncope.Frontiers in cardiovascular medicine · 2022Article
- Pulmonary embolism with chronic obstructive pulmonary disease.Chronic diseases and translational medicine · 2021Review
- Implications of elevated cardiac troponin in patients presenting with acute pulmonary embolism: an observational study.Journal of thoracic disease · 2019Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pulmonary embolism (PE) remains largely underdiagnosed due to nonspecific symptoms. This study aims to evaluate typical symptoms of PE patients, their related predictors, and to differentiate typical clusters of patients and principal components of PE symptoms. Clinical data from a total of 551 PE patients between January 2012 and April 2016 were retrospectively reviewed. PE was diagnosed according to the European Society of Cardiology Guidelines. Logistic regression models, system clustering method, and principal component analysis were used to identify potential risk factors, different clusters of the patients, and principal components of PE symptoms. The most common symptoms of PE were dyspnea, cough, and tachypnea in more than 60% of patients. Some combined chronic conditions, laboratory and clinical indicators were found to be related to these clinical symptoms. Our study also suggested that PE is associated with a broad list of symptoms and some PE patients might share similar symptoms, and some PE symptoms were usually cooccurrence. Based on ten symptoms generated from our sample, we classified the patients into five clusters which represent five groups of PE patients during clinical practice, and identified four principal components of PE symptoms. These findings will improve our understanding of clinical symptoms and their potential combinations which are helpful for clinical diagnosis of PE.
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