Clinical features and risk factors for poor prognosis in malignant tumor patients with pulmonary embolism: a case control study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Pulmonary embolism (PE) is a significant cause of death in cancer patients. Although there are many reports on the clinical features and In-hospital prognosis for PE, but few studies on malignant tumors combined with pulmonary embolism. Early identification of high-risk populations, enhanced monitoring, and targeted therapeutic measures are crucial for improving patient prognosis. We conducted this study to identify reliable prognostic indicators through the analysis of real-world data. METHODS: A total of 471 patients of malignant tumors complicated with PE were divided into two groups: (1) PE with poor prognosis group (n = 146). (2) PE without poor prognosis group (n = 325). Clinical characteristics, laboratory parameters and adverse prognostic events were recorded and analyzed. RESULTS: High diastolic blood pressure (Odds Ratio [OR] = 1.819, 95% confidence interval [CI]: 1.144–2.893, p = 0.011), myoglobin (MYO) (OR = 3.283, 95% CI: 2.016–5.347, p < 0.001), procalcitonin (PCT) (OR = 2.530, 95% CI: 1.581–4.049, p < 0.001), pleural effusion (OR = 1.618, 95% CI: 1.013–2.584, p = 0.044) and invasive surgery (OR = 2.339, 95% CI: 1.471–3.719, p < 0.001) were found to be independent risk factors for poor prognosis in malignant tumor patients with PE. The ROC curve analysis showed that the area under the curve (AUC) for MYO and PCT were 0.683 and 0.657, respectively. The combined predictive value of MYO and PCT was 0.704. CONCLUSION: High diastolic blood pressure, MYO, PCT, pleural effusion, invasive surgery were proved to be independent risk factors for poor prognosis in malignant tumor patients with PE. In biomarkers, the indicator of MYO combined with PCT shows the highest predictive value.
Source: Thrombosis Journal
Authors: Kexin Dong, Hongyuan Kong, Lin Wang, Zhonghui Yu, Xinyan Lu, Zhaoxing Cui, Jin Yang, Yuxin Xia, Beibei Zhang, Zhenkun Li
Language: English
Subfield: Internal Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W4416664901
