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

被引:2
|
作者
Zhang, Jiannan [1 ]
Shao, Yang [1 ]
Zhou, Hongmei [1 ]
Li, Ronghua [1 ]
Xu, Jie [2 ,3 ]
Xiao, Zhongzhou [2 ]
Lu, Lu [2 ]
Cai, Liangyu [1 ]
机构
[1] Wuxi TCM Hosp, Dept Anesthesiol, 8 Zhongnan West Rd, Wuxi 214071, Jiangsu, Peoples R China
[2] Shanghai Artificial Intelligence Lab, Shanghai 200030, Peoples R China
[3] Univ Montpellier, Roussillon, Languedoc Rouss, France
关键词
Lower extremity orthopedic surgery; Deep venous thrombosis; Risk prediction; D-dimer; VENOUS THROMBOEMBOLISM; D-DIMER; PREOPERATIVE PREVALENCE; DIAGNOSIS; PREVENTION; FRACTURES; CHINESE; LIMB; AGE; IMPUTATION;
D O I
10.1016/j.heliyon.2024.e29517
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose: This investigation was conceived to engineer and appraise a pioneering clinical nomogram, crafted to bridge the extant chasm in literature regarding the postoperative risk stratification for deep vein thrombosis (DVT) in the aftermath of lower extremity orthopedic procedures. This novel tool offers a sophisticated and discerning algorithm for risk prediction, heretofore unmet by existing methodologies. Methods: In this retrospective observational study, clinical records of hospitalized patients who underwent lower extremity orthopedic surgery were collected at the Wuxi TCM Hospital Affiliated to the Nanjing University of Chinese Medicine between Jan 2017 and Oct 2019. The univariate and multivariate analysis with the backward stepwise method was applied to select features for the predictive nomogram. The performance of the nomogram was evaluated with respect to its discriminant capability, calibration ability, and clinical utility. Result: A total of 5773 in-hospital patients were eligible for the study, with the incidence of deep vein thrombosis being approximately 1 % in this population. Among 31 variables included, 5 of them were identified to be the predictive features in the nomogram, including age, mean corpuscular hemoglobin concentration (MCHC), D-dimer, platelet distribution width (PDW), and thrombin time (TT). The area under the receiver operating characteristic (ROC) curve in the training and validation cohort was 85.9 % (95%CI: 79.96 %-90.04 %) and 85.7 % (95%CI: 78.96 %-90.69 %), respectively. Both the calibration curves and decision curve analysis demonstrated the overall satisfactory performance of the model. Conclusion: Our groundbreaking nomogram is distinguished by its unparalleled accuracy in discriminative and calibrating functions, complemented by its tangible clinical applicability. This innovative instrument is set to empower clinicians with a robust framework for the accurate forecasting of postoperative DVT, thus facilitating the crafting of bespoke and prompt therapeutic strategies, aligning with the rigorous standards upheld by the most esteemed biomedical journals.
引用
收藏
页数:10
相关论文
共 50 条
  • [11] Prevention of deep vein thrombosis in orthopedic surgery
    Eichinger, S
    Kyrle, PA
    [J]. EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2004, 9 (03) : 112 - 118
  • [12] Deep Vein Thrombosis Prophylaxis in Orthopedic Surgery
    Lin, Shu
    Alepuz, Adrian
    Tritsch, Tara
    Schwartz, Gary
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (02)
  • [13] Metaphyseal trauma of the lower extremities in major orthopedic surgery as an independent risk factor for deep vein thrombosis
    Hartono, Franky
    Ananditya, Tessi
    Augustinus, Yohanes
    Hendra
    Gabriel, Nicholas
    [J]. EUROPEAN JOURNAL OF ORTHOPAEDIC SURGERY AND TRAUMATOLOGY, 2024, 34 (05): : 2797 - 2803
  • [14] Development and validation of a predictive nomogram for lower extremity deep vein thrombosis dislodgement in orthopedic patients
    Li, Zongxuan
    Liu, Xiangdong
    Li, Liang
    Cao, Pengkai
    Zhang, Guanyu
    Jiao, Zhipeng
    Wang, Fengkai
    Hao, Qingchun
    Li, Yunsong
    Zhang, Yanrong
    [J]. FRONTIERS IN SURGERY, 2023, 10
  • [15] Active Ankle Movements Prevent Formation of Lower-Extremity Deep Venous Thrombosis After Orthopedic Surgery
    Li, Ye
    Guan, Xiang-Hong
    Wang, Rui
    Li, Bin
    Ning, Bo
    Su, Wei
    Sun, Tao
    Li, Hong-Yan
    [J]. MEDICAL SCIENCE MONITOR, 2016, 22 : 3169 - 3176
  • [16] Incidence and Risk Factors for Deep Vein Thrombosis after Radiofrequency and Laser Ablation of the Lower Extremity Veins
    Itoga, Nathan K.
    Rothenberg, Kara A.
    Deslarzes-Dubuis, Celine
    George, Elizabeth L.
    Chandra, Venita
    Harris, E. John
    [J]. ANNALS OF VASCULAR SURGERY, 2020, 62 : 45 - +
  • [17] Risk Factors for Deep Vein Thrombosis after Orthopedic Surgery and the Diagnostic Value of D-Dimer
    Jiang, Yong
    Li, Jie
    Liu, Yang
    Li, Yuan-Cheng
    Zhang, Wei-Guo
    [J]. ANNALS OF VASCULAR SURGERY, 2015, 29 (04) : 675 - 681
  • [18] Thrombolysis for Lower-Extremity Deep Vein Thrombosis
    Mewissen, Mark W.
    [J]. SEMINARS IN VASCULAR SURGERY, 2010, 23 (04) : 228 - 234
  • [19] Lower extremity deep vein thrombosis - diagnostic algorithm
    Linnemann, B.
    Lindhoff-Last, E.
    [J]. DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2013, 138 (08) : 369 - 374
  • [20] Non-lower extremity deep vein thrombosis
    Volturo, GA
    Repeta, RJ
    [J]. EMERGENCY MEDICINE CLINICS OF NORTH AMERICA, 2001, 19 (04) : 877 - +