A Nomogram for Predicting Pulmonary Embolism in Silicosis Patients

IF 1.9 4区医学 Q3 RESPIRATORY SYSTEM

Clinical Respiratory Journal Pub Date : 2025-03-04 DOI:10.1111/crj.70059

Jiaqing Zhou, Wen Du, Jin Liu, Lijun Peng

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引用次数: 0

Abstract

Background

As one of the most severe occupational diseases that prevention efforts have supported for several decades, silicosis is still a public health issue that lacks a prediction model for pulmonary embolism.

Methods

A total of 162 patients confirmed to have silicosis were all involved in a training cohort to construct a nomogram with the outcome diagnosed by the CTPA using logistic regression. Univariate and LASSO analyses were used to select variables for the nomogram.

Result

mMRC, pectoralgia, history of VTE, active tumor, unilateral lower limb pain or edema, hormonotherapy, reduced mobility, and heart failure/respiratory failure were selected for the establishment of the nomogram for silicosis with pulmonary embolism.

Conclusion

A novel nomogram was developed to predict pulmonary embolism in silicosis patients. The internal validation indicated that clinicians could utilize this predictive model to help decision-making and patient management.

Abstract Image

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背景矽肺病是最严重的职业病之一，几十年来，预防工作一直在支持矽肺病的治疗，但矽肺病仍然是一个公共卫生问题，缺乏肺栓塞的预测模型。方法共有 162 名确诊为矽肺的患者参与了训练队列，利用逻辑回归法构建了一个与 CTPA 诊断结果相关的提名图。采用单变量分析和 LASSO 分析为提名图选择变量。结果 mMRC、胸痛、VTE 病史、活动性肿瘤、单侧下肢疼痛或水肿、激素治疗、行动不便和心力衰竭/呼吸衰竭被选中用于建立矽肺合并肺栓塞的提名图。结论建立了一个新的提名图来预测矽肺患者的肺栓塞。内部验证结果表明，临床医生可以利用这一预测模型帮助决策和患者管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Respiratory Journal 医学-呼吸系统

CiteScore

3.70

自引率

0.00%

发文量

104

审稿时长

>12 weeks

期刊介绍： Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)