Prediction model of deep vein thrombosis risk after lower extremity orthopedic surgery

• DOI: 10.1016/j.heliyon.2024.e29517
• Publication Date: 2024-04-16T17:53:29Z
• Authors: Jiannan Zhang; Yang Shao; Hongmei Zhou; Ronghua Li; Jie Xu; Zhongzhou Xiao; Lu Lu; Liangyu Cai
• Keywords: Social sciences (General); H1-99; Q1-390; 03 medical and health sciences; Science (General); 0302 clinical medicine; D-dimer; Deep venous thrombosis; Risk prediction; Lower extremity orthopedic surgery; Research Article

PurposeThis investigation was conceived to engineer and appraise a pioneering clinical nomogram, crafted bridge the extant chasm in literature regarding postoperative risk stratification for deep vein thrombosis (DVT) aftermath of lower extremity orthopedic procedures. This novel tool offers sophisticated discerning algorithm prediction, heretofore unmet by existing methodologies.MethodsIn this retrospective observational study, records hospitalized patients who underwent surgery were collected at Wuxi TCM Hospital Affiliated Nanjing University Chinese Medicine between Jan 2017 Oct 2019. The univariate multivariate analysis with backward stepwise method applied select features predictive nomogram. performance nomogram evaluated respect its discriminant capability, calibration ability, utility.ResultA total 5773 in-hospital eligible incidence being approximately 1% population. Among 31 variables included, 5 them identified be including age, mean corpuscular hemoglobin concentration (MCHC), D-dimer, platelet distribution width (PDW), thrombin time (TT). area under receiver operating characteristic (ROC) curve training validation cohort 85.9% (95%CI: 79.96% - 90.04%) 85.7% 78.96% 90.69%), respectively. Both curves decision demonstrated overall satisfactory model.ConclusionOur groundbreaking is distinguished unparalleled accuracy discriminative calibrating functions, complemented tangible applicability. innovative instrument set empower clinicians robust framework accurate forecasting DVT, thus facilitating crafting bespoke prompt therapeutic strategies, aligning rigorous standards upheld most esteemed biomedical journals.