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Utility of the Hospital Frailty Risk Score Derived From Administrative Data and the Association With Stroke Outcomes.
Kilkenny, Monique F; Phan, Hoang T; Lindley, Richard I; Kim, Joosup; Lopez, Derrick; Dalli, Lachlan L; Grimley, Rohan; Sundararajan, Vijaya; Thrift, Amanda G; Andrew, Nadine E; Donnan, Geoffrey A; Cadilhac, Dominique A.
  • Kilkenny MF; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (M.F.K., H.T.P., J.K., L.L.D., R.G., A.G.T., N.E.A., D.A.C.).
  • Phan HT; The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia (M.F.K., J.K., D.A.C.).
  • Lindley RI; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (M.F.K., H.T.P., J.K., L.L.D., R.G., A.G.T., N.E.A., D.A.C.).
  • Kim J; Menzies Institute for Medical Research, University of Tasmania, Australia (H.T.P.).
  • Lopez D; Westmead Applied Research Centre, University of Sydney, New South Wales, Australia (R.I.L.).
  • Dalli LL; George Institute for Global Health, Sydney, New South Wales, Australia (R.I.L.).
  • Grimley R; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (M.F.K., H.T.P., J.K., L.L.D., R.G., A.G.T., N.E.A., D.A.C.).
  • Sundararajan V; The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia (M.F.K., J.K., D.A.C.).
  • Thrift AG; School of Population and Global Health, The University of Western Australia, Perth, Australia (D.L.).
  • Andrew NE; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (M.F.K., H.T.P., J.K., L.L.D., R.G., A.G.T., N.E.A., D.A.C.).
  • Donnan GA; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (M.F.K., H.T.P., J.K., L.L.D., R.G., A.G.T., N.E.A., D.A.C.).
  • Cadilhac DA; Sunshine Coast Clinical School, Griffith University, Birtinya, Queensland, Australia (R.G.).
Stroke ; 52(9): 2874-2881, 2021 08.
Article en En | MEDLINE | ID: mdl-34134509
ABSTRACT
Background and

Purpose:

Conditions associated with frailty are common in people experiencing stroke and may explain differences in outcomes. We assessed associations between a published, generic frailty risk score, derived from administrative data, and patient outcomes following stroke/transient ischemic attack; and its accuracy for stroke in predicting mortality compared with other measures of clinical status using coded data.

Methods:

Patient-level data from the Australian Stroke Clinical Registry (2009­2013) were linked with hospital admissions data. We used International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes with a 5-year look-back period to calculate the Hospital Frailty Risk Score (termed Frailty Score hereafter) and summarized results into 4 groups no-risk (0), low-risk (1­5), intermediate-risk (5­15), and high-risk (>15). Multilevel models, accounting for hospital clustering, were used to assess associations between the Frailty Score and outcomes, including mortality (Cox regression) and readmissions up to 90 days, prolonged acute length of stay (>20 days; logistic regression), and health-related quality of life at 90 to 180 days (quantile regression). The performance of the Frailty Score was then compared with the Charlson and Elixhauser Indices using multiple tests (eg, C statistics) for predicting 30-day mortality. Models were adjusted for covariates including sociodemographics and stroke-related factors.

Results:

Among 15 468 adult patients, 15% died ≤90 days. The frailty scores were 9% no risk; 23% low, 45% intermediate, and 22% high. A 1-point increase in frailty (continuous variable) was associated with greater length of stay (ORadjusted, 1.05 [95% CI, 1.04 to 1.06), 90-day mortality (HRadjusted, 1.04 [95% CI, 1.03 to 1.05]), readmissions (ORadjusted, 1.02 [95% CI, 1.02 to 1.03]; and worse health-related quality of life (median difference, −0.010 [95% CI −0.012 to −0.010]). Adjusting for the Frailty Score provided a slightly better explanation of 30-day mortality (eg, larger C statistics) compared with other indices.

Conclusions:

Greater frailty was associated with worse outcomes following stroke/transient ischemic attack. The Frailty Score provides equivalent precision compared with the Charlson and Elixhauser indices for assessing risk-adjusted outcomes following stroke/transient ischemic attack.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ataque Isquémico Transitorio / Accidente Cerebrovascular / Fragilidad / Hospitales Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ataque Isquémico Transitorio / Accidente Cerebrovascular / Fragilidad / Hospitales Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article