Literature DB >> 33024024

New Index for Multiple Chronic Conditions Predicts Functional Outcome in Ischemic Stroke.

Xiaqing Jiang1, Lu Wang1, Lewis B Morgenstern1, Christine T Cigolle1, Edward S Claflin1, Lynda D Lisabeth2.   

Abstract

OBJECTIVE: To determine whether a new index for multiple chronic conditions (MCCs) predicts poststroke functional outcome (FO), we developed and internally validated the new MCC index in patients with ischemic stroke.
METHODS: A prospective cohort of patients with ischemic stroke (2008-2017) was interviewed at baseline and 90 days in the Brain Attack Surveillance in Corpus Christi Project. An average of 22 activities of daily living (ADL)/instrumental ADL (IADL) items measured the FO score (range 1-4) at 90 days. A FO score >3 (representing a lot of difficulty with ADL/IADLs) was considered unfavorable FO. A new index was developed using machine learning techniques to select and weight conditions and prestroke impairments.
RESULTS: Prestroke modified Rankin Scale (mRS) score, age, congestive heart failure (CHF), weight loss, diabetes, other neurologic disorders, and synergistic effects (dementia × age, CHF × renal failure, and prestroke mRS × prior stroke/TIA) were identified as important predictors in the MCC index. In the validation dataset, the index alone explained 31% of the variability in the FO score, was well-calibrated (p = 0.41), predicted unfavorable FO well (area under the receiver operating characteristic curve 0.81), and outperformed the modified Charlson Comorbidity Index in predicting the FO score and poststroke mRS.
CONCLUSIONS: A new MCC index was developed and internally validated to improve the prediction of poststroke FO. Novel predictors and synergistic interactions were identified. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that in patients with ischemic stroke, an index for MCC predicts FO at 90 days.
© 2020 American Academy of Neurology.

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Year:  2020        PMID: 33024024      PMCID: PMC7884978          DOI: 10.1212/WNL.0000000000010992

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  41 in total

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  2 in total

1.  Multiple Chronic Conditions Explain Ethnic Differences in Functional Outcome Among Patients With Ischemic Stroke.

Authors:  Xiaqing Jiang; Lewis B Morgenstern; Christine T Cigolle; Lu Wang; Edward S Claflin; Lynda D Lisabeth
Journal:  Stroke       Date:  2021-09-14       Impact factor: 7.914

2.  Public health adherence and information-seeking for people with chronic conditions during the early phase of the COVID-19 pandemic.

Authors:  Michelle K Roberts; Dawn M Ehde; Tracy E Herring; Kevin N Alschuler
Journal:  PM R       Date:  2021-08-18       Impact factor: 2.218

  2 in total

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