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ASA Physical Status Classification Improves Predictive Ability of a Validated Trauma Risk Score
Sanjit R Konda1, Rown Parola1, Cody Perskin1
1Department of Orthopedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, New York, NY, USA.
Geriatric Orthopaedic Surgery & Rehabilitation
|February 8, 2021
Summary
Adding the ASA physical status classification system to the Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) significantly improves mortality prediction for older hip fracture patients. This enhanced tool offers better risk stratification for this vulnerable population.
Area of Science:
- Geriatric Trauma Care
- Trauma Triage Tools
- Risk Stratification Models
Background:
- The Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) is a validated tool for assessing mortality risk in trauma patients.
- Key criteria include age, comorbidities, vital signs, and injuries.
Purpose of the Study:
- To evaluate if incorporating the ASA physical status classification system into the STTGMA improves risk stratification for middle-aged and elderly trauma patients.
- To enhance the predictive accuracy of the STTGMA for inpatient mortality.
Main Methods:
- 1332 patients aged 55+ with low-energy hip fractures were analyzed.
- STTGMA and STTGMA with ASA (STTGMAASA) scores were calculated.
- Model predictive performance for inpatient mortality was compared using AUROCs and DeLong's test.
Main Results:
- STTGMAASA demonstrated a significantly higher predictive capacity for inpatient mortality (AUROC 0.823) compared to STTGMA (AUROC 0.742, p=0.04).
- Risk stratification using STTGMAASA showed a significantly different distribution of mortality, complications, and length of stay across risk cohorts (p<0.01).
- Total hospital cost was correlated with both STTGMAASA and STTGMA scores.
Conclusions:
- The addition of ASA physical status classification enhances the STTGMA's ability to predict inpatient mortality in geriatric and middle-aged hip fracture patients.
- STTGMAASA provides improved risk stratification, aiding clinical decision-making and resource allocation for this demographic.

