Eur Rev Med Pharmacol Sci. 2023 Aug;27(15):7031-7036. doi: 10.26355/eurrev_202308_33275.
OBJECTIVE: The aim of this study was to create a predictive nomogram that can accurately identify the risk factors of venous thromboembolism (VTE) in hospitalized patients exhibiting hemoptysis.
PATIENTS AND METHODS: The present study gathered clinical and demographic data of 1,052 hospitalized patients with hemoptysis at Dongyang Hospital between January 2016 and January 2021 through the Lejiu database. The patients were categorized into two groups: the thrombotic event group (n=123) and the non-thrombotic event group (n=929), based on the presence of VTE before discharge. The study utilized univariable and multivariable logistic regression analyses to identify the independent risk factors for VTE, with the occurrence of thrombotic events serving as the dependent variable. Furthermore, a nomogram prediction model was formulated to verify the findings.
RESULTS: In hospitalized patients with hemoptysis, the risk of VTE was found to be independently associated with the administration of tranexamic acid (TXA), the presence of D-dimer, and the Charlson Comorbidity Index (CCI) score (p<0.05).
CONCLUSIONS: A nomogram model was constructed to evaluate the probability of VTE in patients hospitalized with hemoptysis. This model allows for the timely detection of early VTE warning signs, which may ultimately reduce its occurrence.