Good Outcome Following Attempted Resuscitation Score and Clinical Frailty Scale for Estimating Long-Term Mortality: An Ancillary Study of the CLEAR Randomized Clinical Trial
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View abstract on PubMed
Summary
This summary is machine-generated.The Clinical Frailty Scale (CFS) and GO-FAR score accurately predict long-term mortality in medical inpatients. Combining these tools with the Charlson Comorbidity Index (CCI) further improves risk prediction for better clinical decisions.
Area Of Science
- Gerontology
- Clinical Medicine
- Health Services Research
Background
- Risk estimation tools are vital for managing aging and complex patient populations.
- The Clinical Frailty Scale (CFS) and GO-FAR score assess frailty and survival post-cardiac arrest, respectively.
- Their utility in predicting all-cause mortality in general medical inpatients requires further evaluation.
Purpose Of The Study
- To evaluate the accuracy of the CFS and GO-FAR score in predicting long-term all-cause mortality among medical inpatients.
- To assess the added value of combining these scores with the Charlson Comorbidity Index (CCI).
Main Methods
- An ancillary analysis of the CLEAR trial involving 2840 medical inpatients from 6 Swiss hospitals.
- Collection of CFS, GO-FAR, and CCI scores at admission.
- Long-term vital status follow-up until October 2024.
Main Results
- The GO-FAR score (AUROC 0.78) and CFS (AUROC 0.74) demonstrated good discriminatory performance for all-cause mortality.
- Combining GO-FAR, CFS, and CCI improved the AUROC to 0.87.
- High specificity but low sensitivity was observed for both scores in highest-risk categories.
Conclusions
- The GO-FAR score and CFS are effective in estimating long-term all-cause mortality in medical inpatients.
- Combining these scores with the CCI enhances predictive accuracy.
- These tools can aid clinical decision-making, resource allocation, and advance care planning in elderly, multimorbid patients.
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