Aim: We sought to validate the 2010 Caprini risk assessment model (RAM) in risk stratification for deep vein thrombosis (DVT) prophylaxis among Chinese bedridden patients.
Methods: We performed a prospective study in 25 hospitals in China over 9 months. Patients were risk-stratified using the 2010 Caprini RAM.
Results: We included a total 24,524 patients. Fresh DVT was found in 221 patients, with overall incidence of DVT 0.9%. We found a correlation of DVT incidence with Caprini score according to risk stratification (χ =196.308, P<0.001). Patients in the low-risk and moderate-risk groups had DVT incidence <0.5%. More than half of patients with DVT were in the highest risk group. Compared with the low-risk group, risk was 2.10-fold greater in the moderate-risk group, 3.34-fold greater in the high-risk group, and 16.12-fold greater in the highest-risk group with Caprini scores ≥ 9. The area under the receiver operating characteristic curve was 0.74 (95% confidence interval, 0.71-0.78; P<0.01) for all patients. A Caprini score of ≥ 5 points was considered the criterion of a reliably increased risk of DVT in surgical patients with standard thromboprophylaxis. Predicting DVT using a cumulative risk score ≥ 4 is recommended for nonsurgical patients.
Conclusions: Our study suggested that the 2010 Caprini RAM can be effectively used to stratify hospitalized Chinese patients into DVT risk categories, based on individual risk factors. Classification of the highest risk levels using a cumulative risk score ≥ 4 and ≥ 5 provides significantly greater clinical information in nonsurgical and surgical patients, respectively.
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http://dx.doi.org/10.5551/jat.51359 | DOI Listing |
Transl Androl Urol
September 2024
Department of Urology, Peking University People's Hospital, Beijing, China.
Background: Radical cystectomy (RC) patients are at significant risk for venous thromboembolism (VTE). Current predictive models, such as the Caprini risk assessment (CRA) model, have limitations. This research aimed to create a novel predictive model for forecasting the risk of VTE after RC.
View Article and Find Full Text PDFEur J Surg Oncol
January 2024
Department of Ultrasound, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China. Electronic address:
Objectives: This study aimed to establish and validate a novel predictive model for venous thromboembolism (VTE) in patients undergoing oral and maxillofacial oncological surgery with simultaneous reconstruction.
Material And Methods: A total of 372 patients were selected, and their demographic data, comorbidities, medical history, laboratory variables, postoperative Caprini scores, perioperative indicators, and procedures were recorded and analyzed to build the model. The predictive model is displayed as a nomogram.
Thromb Res
February 2023
Division of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China. Electronic address:
Introduction: Several DVT risk assessment tools have been developed and validated to stratify the patients. The 2005 and 2010 Caprini risk assessment models (RAMs) proved reliable in detecting deep vein thrombosis (DVT) and are widely used worldwide. Although the 2010 version was recently modified, the 2005 version is still more exact and popular in the surgical population.
View Article and Find Full Text PDFAnn Surg
September 2023
Department of Surgery, Carolinas Medical Center, Charlotte, NC.
Objective: To define the impact of missed ordering of venous thromboembolism (VTE) chemoprophylaxis in high-risk general surgery populations.
Background: The primary cause of preventable death in surgical patients is VTE. Although guidelines and validated risk calculators assist in dosing recommendations, there remains considerable variability in ordering and adherence to recommended dosing.
Plast Reconstr Surg Glob Open
December 2022
College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Unlabelled: Postoperative venous thromboembolism (VTE) is the most common complication of plastic surgery procedures. Diverse risk assessment models (RAMs) exist to stratify patients by VTE risk, but due to a lack of high-quality evidence and heterogeneity in RAM data, there is no recommendation regarding RAM that can be used for plastic surgery patients. This study compares the reliability and outcomes of Caprini and American Society of Anesthesiologists (ASA) physical status classification RAMs used in plastic surgery to help surgeons stratify the risk of VTE.
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