Background: Venous thromboembolism (VTE) is a common postoperative complication of lung cancer, but the incidence and risk stratification of postoperative VTE in stage IA non-small-cell lung cancer (NSCLC) patients remains unclear, therefore we conducted a single-center prospective study.
Methods: A total of 314 consecutive patients hospitalized for lung cancer surgery and diagnosed with stage IA NSCLC from January 2017 to July 2021 were included. The patients were divided into the VTE group and the non-VTE group according to whether VTE occurred after the operation. The patient's age, operation time, D-dimer (D-D) value, tumor pathology, and Caprini score were recorded. The different items were compared and included in logistic regression analysis to obtain independent risk factors, and the area under the receiver operating characteristics curve (AUC) was calculated.
Results: The incidence of VTE was 7.3%. Significant differences in age, operation time, preoperative and postoperative day 1 D-D value, neuron-specific enolase value, forced expiratory volume in 1 second, maximum ventilation, carbon monoxide diffusion capacity, and pathological diameter were noted between the two groups. Age (95% confidence interval [CI] 1.056-1.216) and postoperative day 1 D-D value (95% CI 1.125-1.767) were independent risk factors. The incidence of VTE in the low-, medium-, and high-risk groups with Caprini scores was 0%, 7.3%, and 11.5%, respectively. The AUC of the Caprini score was 0.704 (p < 0.05).
Conclusions: The incidence of postoperative VTE in patients with stage IA NSCLC was 7.3%. Age and postoperative day 1 D-D value were independent risk factors for VTE. The Caprini score has a certain value in the diagnosis of postoperative VTE of stage IA NSCLC.
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http://dx.doi.org/10.1111/1759-7714.14373 | DOI Listing |
Best Pract Res Clin Anaesthesiol
March 2024
Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, Department of Anesthesia and Critical Care Medicine, 1275 York Avenue, New York, NY, 10028, USA. Electronic address:
The objectives of this minireview are two-fold. The first is to discuss the evolution of opioid analgesia in perioperative medicine in the context of thoracic non-cardiac surgery. Current standard-of-care, aiming to optimize analgesia and limit undesirable side effects, is discussed in the context of multimodal analgesia, specifically enhanced recovery after thoracic surgery pathways.
View Article and Find Full Text PDFBest Pract Res Clin Anaesthesiol
March 2024
1400 Holcombe Blvd, FC 13.2000, Houston, TX, 77030, USA. Electronic address:
Lung cancer is among one of the most commonly diagnosed malignancies and is the leading cause of cancer-related mortality in both men and women globally, with an estimated 1.8 million deaths annually. Moreover, it is also the leading cause of cancer related deaths in the United States (U.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFCancer Med
January 2025
The Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah, USA.
Introduction: The purpose of this study was to evaluate the association between body composition, overall survival, odds of receiving treatment, and patient-reported outcomes (PROs) in individuals living with metastatic non-small-cell lung cancer (mNSCLC).
Methods: This retrospective analysis was conducted in newly diagnosed patients with mNSCLC who had computed-tomography (CT) scans and completed PRO questionnaires close to metastatic diagnosis date. Cox proportional hazard models and logistic regression evaluated overall survival and odds of receiving treatment, respectively.
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