ArticleJournal of orthopaedic surgery and research2021
Development and validation of a nomogram for prediction of the risk of positive hidden blood loss in the perioperative period of single-level thoracolumbar burst fracture.
Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- A comparative study on hemostasis effect of different application methods and time of tranexamic acid in total hip arthroplasty.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Trial
- A nomogram for assessing the risk of deep vein thrombosis following surgery for pilon fractures.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026Article
- Practice advisory on the management of the perioperative period of scoliosis correction surgery.Journal of anesthesia and translational medicine · 2025Review
- Development and validation of a predictive model for preoperative deep vein thrombosis following traumatic thoracolumbar fractures.Scientific reports · 2024Article
- Development and validation of a nomogram for predicting the risk of postoperative fracture blister after pilon fracture.Frontiers in surgery · 2024Article
- Hidden blood loss between percutaneous pedicle screw fixation and the mini-open Wiltse approach with pedicle screw fixation for neurologically intact thoracolumbar fractures: a retrospective study.Journal of orthopaedic surgery and research · 2023Article
- Development and validation of a predictive nomogram for preoperative deep vein thrombosis (DVT) in isolated calcaneal fracture.Scientific reports · 2022Article
- Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise.Frontiers in public health · 2022Article
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6 authors.
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Abstract
backgroundThis study aimed to develop and validate an individualized nomogram to predict the risk of positive hidden blood loss (HBL) in patients with single-level thoracolumbar burst fracture (TBF) during the perioperative period.
methodsWe conducted a retrospective investigation including 150 consecutive patients with TBL, and the corresponding patient data was extracted from March 2013 to March 2019. The independent risk factors for positive HBL were screened using univariate and multivariate logistic regression analyses. According to published literature and clinical experience, a series of variables were selected to develop a nomogram prediction model for positive HBL. The area under the receiver operating characteristic curves (AUC), C-index, calibration plot, and decision curve analysis (DCA) were used to evaluate the performance of the prediction model. Bootstrapping validation was performed to evaluate the performance of the model.
resultsAmong the 150 consecutive patients, 62 patients were positive for HBL (38.0%). The multivariate logistic regression analysis showed that the six risk factors of age, length of surgical incision, duration of operation, percentage of vertebral height restoration (P
conclusionOverall, we explored the relationship between the positive HBL requirement and predictors. The individualized prediction model for patients with single-level TBF can accurately assess the risk of positive HBL and facilitate clinical decision making. However, external validation will be needed in the future.
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