Blood transfusion risk prediction in spinal tuberculosis surgery: development and assessment of a novel predictive nomogram.
BMC Musculoskelet Disord
; 23(1): 182, 2022 Feb 25.
Article
en En
| MEDLINE
| ID: mdl-35216570
ABSTRACT
OBJECTIVE:
The present study attempted to predict blood transfusion risk in spinal tuberculosis surgery by using a novel predictive nomogram.METHODS:
The study was conducted on the clinical data of 495 patients (167 patients in the transfusion group and 328 patients in the non-transfusion group) who underwent spinal tuberculosis surgery in our hospital from June 2012 to June 2021. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression analyses were used to screen out statistically significant parameters, which were included to establish a novel predictive nomogram model. The receiver operating characteristic (ROC) curve, calibration curves, C-index, and decision curve analysis (DCA) were used to evaluate the model. Finally, the nomogram was further assessed through internal validation.RESULTS:
The C-index of the nomogram was 0.787 (95% confidence interval 74.6%-.82.8%). The C-value calculated by internal validation was 0.763. The area under the curve (AUC) of the predictive nomogram was 0.785, and the DCA was 0.01-0.79.CONCLUSION:
A nomogram with high accuracy, clinical validity, and reliability was established to predict blood transfusion risk in spinal tuberculosis surgery. Surgeons must prepare preoperative surgical strategies and ensure adequate availability of blood before surgery.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Tuberculosis de la Columna Vertebral
/
Nomogramas
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
BMC Musculoskelet Disord
Asunto de la revista:
FISIOLOGIA
/
ORTOPEDIA
Año:
2022
Tipo del documento:
Article
País de afiliación:
China