Literature DB >> 32586162

A comparison of frailty indices in predicting length of inpatient stay and discharge destination following angiogram-negative subarachnoid hemorrhage.

Matthew K McIntyre1, Chirag Gandhi2, James Dragonette1, Meic Schmidt2,3, Chad Cole2, Justin Santarelli2, Rachel Lehrer2, Fawaz Al-Mufti2, Christian A Bowers2,3.   

Abstract

BACKGROUND AND
PURPOSE: While patients with angiogram-negative subarachnoid hemorrhages (ANSAH) have better prognoses than those with aneurysmal SAH, frailty's impact on outcomes in ANSAH is unclear. We previously showed that the modified frailty index (mFI-11) is associated with poor outcomes following ANSAH. Here, we compared the mFI-5, mFI-11, Charlson Comorbidity Index (CCI), and temporalis thickness (TMT) to determine which index was the best predictor of ANSAH outcomes and mortality rates.
METHODS: In this retrospective cohort analysis between 2014 and 2018, patients with non-traumatic, angiogram negative SAH (ANSAH) were identified. The admission mFI-5, mFI-11, CCI, and TMT were calculated for each patient. Primary outcomes were mortality rate, discharge location, and prolonged length of stay (PLOS; LOS >85th percentile). Multivariate logistic regression and receiver operating characteristic (ROC) curves were used to evaluate frailty as predictors of primary endpoints.
RESULTS: We included 75 patients with a mean age of 55.4 ± 1.5 years. There were 4 patient deaths (5.3%), 53 patients (70.7%) discharged home, and 11 patients (14.7%) with PLOS. On ROC analysis, the mFI-5 had the highest discriminatory value for mortality (AUC = 0.97) while the mFI-11 was most discriminatory for discharge home (AUC = 0.85) and PLOS (AUC = 0.78). On multivariate analysis, the only independent predictor of mortality was the mFI-11 (OR = 0.46; 95%CI: 1.45-14.23; p = 0.009) while the mFI-5 was the best predictor of discharge home (OR = 0.21; 95% CI: 0.08-0.61; p = 0.004). On multivariate analysis, the only independent predictor of PLOS was the Hunt and Hess score (OR = 2.63; 95%CI: 1.38-5.00; p = 0.003). The CCI and TMT were inferior to either mFI for predicting primary endpoints.
CONCLUSIONS: Increasing frailty is associated with poorer outcomes and higher mortality following ANSAH. The mFI-5 and mFI-11 were found to be superior predictors of discharge home and mortality rate. While larger prospective study is needed, frailty, as measured by mFI-11 and -5, should be considered when evaluating ANSAH prognosis.

Entities:  

Keywords:  Charlson Comorbidity index; Subarachnoid hemorrhage; angiogram-negative subarachnoid hemorrhage; modified frailty index; temporalis thickness

Mesh:

Year:  2020        PMID: 32586162     DOI: 10.1080/02688697.2020.1781056

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  3 in total

1.  XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage.

Authors:  Ruoran Wang; Jing Zhang; Baoyin Shan; Min He; Jianguo Xu
Journal:  Neuropsychiatr Dis Treat       Date:  2022-03-29       Impact factor: 2.570

2.  Relevance of presenting risks of frailty, sarcopaenia and osteopaenia to outcomes from aneurysmal subarachnoid haemorrhage.

Authors:  Jia Xu Lim; Yuan Guang Lim; Aravin Kumar; Tien Meng Cheong; Julian Xinguang Han; Min Wei Chen; David Wen; Winston Lim; Ivan Hua Bak Ng; Vincent Yew Poh Ng; Ramez Wadie Kirollos; Nicole Chwee Har Keong
Journal:  BMC Geriatr       Date:  2022-04-16       Impact factor: 4.070

3.  Exploration of Risk Factors for Poor Prognosis of Non-Traumatic Non-Aneurysmal Subarachnoid Hemorrhage.

Authors:  Yuan Yuan; Jingjiong Chen; Yaxuan Zhang; Fei Zhao; Yanyu Zhai; Xiaofeng Xu; Lixia Xue; Yuwu Zhao; Hongmei Wang
Journal:  Biomolecules       Date:  2022-07-06
  3 in total

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