NDLI: A nomogram to predict postoperative deep vein thrombosis in patients with femoral fracture: a retrospective study

Content Provider	Springer Nature : BioMed Central
Author	Wu, Linqin Cheng, Bo
Abstract	Objective The implementation of more active anticoagulant prevention and treatment measures has indeed led to a significant reduction in the incidence of perioperative deep vein thrombosis (DVT) among patients with bone trauma. However, it is important to note that despite these efforts, the incidence of DVT still remains relatively high. According to the Caprini score, all patients undergoing major orthopedic surgery were defined as the high-risk group for DVT. Stratifying the risk further within high-risk groups for DVT continues to present challenges. As a result, the commonly used Caprini score during the perioperative period is not applicable to orthopedic patients. We attempt to establish a specialized model to predict postoperative DVT risk in patients with femoral fracture. Methods We collected the clinical data of 513 patients undergoing femoral fracture surgery in our hospital from May 2018 to December 2019. According to the independent risk factors of DVT obtained by univariate and multivariate logistic regression analysis, the corresponding nomogram model was established and verified internally. The discriminative capacity of nomogram was evaluated by receiver operating characteristic (ROC) curve and area under the curve (AUC). The calibration curve used to verify model consistency was the fitted line between predicted and actual incidences. The clinical validity of the nomogram model was assessed using decision curve analysis (DCA) which could quantify the net benefit of different risk threshold probabilities. Bootstrap method was applied to the internal validation of the nomogram model. Furthermore, a comparison was made between the Caprini score and the developed nomogram model. Results The Caprini scores of subjects ranged from 5 to 17 points. The incidence of DVT was not positively correlated with the Caprini score. The predictors of the nomogram model included 10 risk factors such as age, hypoalbuminemia, multiple trauma, perioperative red blood cell infusion, etc. Compared with the Caprini scale (AUC = 0.571, 95% CI 0.479–0.623), the calibration accuracy and identification ability of nomogram were higher (AUC = 0.865,95% CI 0.780–0.935). The decision curve analysis (DCA) indicated the clinical effectiveness of nomogram was higher than the Caprini score. Conclusions The nomogram was established to effectively predict postoperative DVT in patients with femoral fracture. To further reduce the incidence, more specialized risk assessment models for DVT should take into account the unique risk factors and characteristics associated with specific patient populations.
Related Links	https://josr-online.biomedcentral.com/counter/pdf/10.1186/s13018-023-03931-1.pdf
Ending Page	15
Page Count	15
Starting Page	1
File Format	HTM / HTML
DOI	10.1186/s13018-023-03931-1
Journal	Journal of Orthopaedic Surgery and Research
Issue Number	1
Volume Number	18
Language	English
Publisher	BioMed Central
Publisher Date	2023-06-27
Access Restriction	Open
Subject Keyword	Orthopedics Surgical Orthopedics Deep venous thrombosis Risk factor Femoral fracture Nomogram model The Caprini score
Content Type	Text
Resource Type	Article
Subject	Surgery Orthopedics and Sports Medicine
Journal Impact Factor	2.8/2023
5-Year Journal Impact Factor	3/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A nomogram model based on the combination of the systemic immune-inflammation index, body mass index, and neutrophil/lymphocyte ratio to predict the risk of preoperative deep venous thrombosis in elderly patients with intertrochanteric femoral fracture: a retrospective cohort study

A nomogram for prediction of deep venous thrombosis risk in elderly femoral intertrochanteric fracture patients: A dual-center retrospective study

The incidence and risk factors of deep venous thrombosis in lower extremities following surgically treated femoral shaft fracture: a retrospective case-control study

Epidemiological status and risk factors of deep vein thrombosis in patients with femoral neck fracture

Risk factor analysis and nomogram model of DVT in hip fracture patients at hospital admission

Perioperative red blood cell infusion and deep vein thrombosis in patients with femoral and pelvic fractures: a propensity score matching

Nomogram based on high-density lipoprotein cholesterol for the occurrence of preoperative deep vein thrombosis in patients with intertrochanteric femur fracture: a retrospective study

Incidence and risk factors of preoperative deep vein thrombosis in patients with intertrochanteric fractures: a retrospective study

Admission deep venous thrombosis of lower extremity after intertrochanteric fracture in the elderly: a retrospective cohort study

A nomogram to predict postoperative deep vein thrombosis in patients with femoral fracture: a retrospective study

Similar Documents

A nomogram model based on the combination of the systemic immune-inflammation index, body mass index, and neutrophil/lymphocyte ratio to predict the risk of preoperative deep venous thrombosis in elderly patients with intertrochanteric femoral fracture: a retrospective cohort study

A nomogram for prediction of deep venous thrombosis risk in elderly femoral intertrochanteric fracture patients: A dual-center retrospective study

The incidence and risk factors of deep venous thrombosis in lower extremities following surgically treated femoral shaft fracture: a retrospective case-control study

Epidemiological status and risk factors of deep vein thrombosis in patients with femoral neck fracture

Risk factor analysis and nomogram model of DVT in hip fracture patients at hospital admission

Perioperative red blood cell infusion and deep vein thrombosis in patients with femoral and pelvic fractures: a propensity score matching

Nomogram based on high-density lipoprotein cholesterol for the occurrence of preoperative deep vein thrombosis in patients with intertrochanteric femur fracture: a retrospective study

Incidence and risk factors of preoperative deep vein thrombosis in patients with intertrochanteric fractures: a retrospective study

Admission deep venous thrombosis of lower extremity after intertrochanteric fracture in the elderly: a retrospective cohort study

A nomogram to predict postoperative deep vein thrombosis in patients with femoral fracture: a retrospective study