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Comparative Analysis of Frailty Scores for Predicting Adverse Outcomes in Hip Fracture Patients: Insights from the United States National Inpatient Sample.
Forssten, Maximilian Peter; Cao, Yang; Mohammad Ismail, Ahmad; Tennakoon, Lakshika; Spain, David A; Mohseni, Shahin.
Afiliación
  • Forssten MP; Department of Orthopedic Surgery, Faculty of Medicine and Health, Orebro University, Orebro 701 82, Sweden.
  • Cao Y; School of Medical Sciences, Orebro University, 701 82 Orebro, Sweden.
  • Mohammad Ismail A; Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Orebro University, 701 82 Orebro, Sweden.
  • Tennakoon L; School of Medical Sciences, Orebro University, 701 82 Orebro, Sweden.
  • Spain DA; Department of Surgery, Section of Trauma and Acute Care Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Mohseni S; Department of Surgery, Section of Trauma and Acute Care Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
J Pers Med ; 14(6)2024 Jun 10.
Article en En | MEDLINE | ID: mdl-38929842
ABSTRACT
The aim of the current investigation was to compare the ability of several frailty scores to predict adverse outcomes in hip fracture patients. All adult patients (18 years or older) who suffered a hip fracture due to a fall and underwent surgical fixation were extracted from the 2019 National Inpatient Sample (NIS) Database. A combination of logistic regression and bootstrapping was used to compare the predictive ability of the Orthopedic Frailty Score (OFS), the Nottingham Hip Fracture Score (NHFS), the 11-factor modified Frailty Index (11-mFI) and 5-factor (5-mFI) modified Frailty Index, as well as the Johns Hopkins Frailty Indicator. A total of 227,850 patients were extracted from the NIS. In the prediction of in-hospital mortality and failure-to-rescue (FTR), the OFS surpassed all other frailty measures, approaching an acceptable predictive ability for mortality [AUC (95% CI) 0.69 (0.67-0.72)] and achieving an acceptable predictive ability for FTR [AUC (95% CI) 0.70 (0.67-0.72)]. The NHFS demonstrated the highest predictive ability for predicting any complication [AUC (95% CI) 0.62 (0.62-0.63)]. The 11-mFI exhibited the highest predictive ability for cardiovascular complications [AUC (95% CI) 0.66 (0.64-0.67)] and the NHFS achieved the highest predictive ability for delirium [AUC (95% CI) 0.69 (0.68-0.70)]. No score succeeded in effectively predicting venous thromboembolism or infections. In summary, the investigated frailty scores were most effective in predicting in-hospital mortality and failure-to-rescue; however, they struggled to predict complications.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Pers Med Año: 2024 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Pers Med Año: 2024 Tipo del documento: Article País de afiliación: Suecia