Literature DB >> 35831611

Effect of Comorbidity Burden and Polypharmacy on Poor Functional Outcome in Acute Ischemic Stroke.

Ewgenia Barow1, Ann-Cathrin Probst2, Hans Pinnschmidt3, Marlene Heinze2, Märit Jensen2, David Leander Rimmele2, Fabian Flottmann4, Gabriel Broocks4, Jens Fiehler4, Christian Gerloff2, Götz Thomalla2.   

Abstract

PURPOSE: Comorbidities and polypharmacy are risk factors for worse outcome in stroke. However, comorbidities and polypharmacy are mostly studied separately with various approaches to assess them. We aimed to analyze the impact of comorbidity burden and polypharmacy on functional outcome in acute ischemic stroke (AIS) patients undergoing mechanical thrombectomy (MT).
METHODS: Acute ischemic stroke patients with large vessel occlusion (LVO) treated with MT from a prospective observational study were analyzed. Relevant comorbidity burden was defined as a Charlson Comorbidity Index (CCI) score ≥ 2, polypharmacy as the intake of ≥ 5 medications at time of stroke onset. Favorable outcome was a score of 0-2 on the modified Rankin scale at 90 days after stroke. The effect of comorbidity burden and polypharmacy on favorable outcome was studied via multivariable regression analysis.
RESULTS: Of 903 patients enrolled, 703 AIS patients (mean age 73.4 years, 54.9% female) with anterior circulation LVO were included. A CCI ≥ 2 was present in 226 (32.1%) patients, polypharmacy in 315 (44.8%) patients. Favorable outcome was less frequently achieved in patients with a CCI ≥ 2 (47, 20.8% vs. 172, 36.1%, p < 0.001), and in patients with polypharmacy (69, 21.9% vs. 150, 38.7%, p < 0.001). In multivariable regression analysis including clinical covariates, a CCI ≥ 2 was associated with lower odds of favorable outcome (odds ratio, OR 0.52, 95% confidence interval, 95% CI 0.33-0.82, p = 0.005), while polypharmacy was not (OR 0.81, 95% CI 0.52-1.27, p = 0.362).
CONCLUSION: Relevant comorbidity burden and polypharmacy are common in AIS patients with LVO, with comorbidity burden being a risk factor for poor outcome.
© 2022. The Author(s).

Entities:  

Keywords:  Acute stroke; Charlson Comorbidity Index; Clinical outome; Large vessel occlusion; Thrombectomy

Year:  2022        PMID: 35831611     DOI: 10.1007/s00062-022-01193-8

Source DB:  PubMed          Journal:  Clin Neuroradiol        ISSN: 1869-1439            Impact factor:   3.156


  31 in total

1.  Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study.

Authors:  Lorenzo Falsetti; Giovanna Viticchi; Nicola Tarquinio; Mauro Silvestrini; William Capeci; Vania Catozzo; Agnese Fioranelli; Laura Buratti; Francesco Pellegrini
Journal:  Neurol Sci       Date:  2016-05-11       Impact factor: 3.307

2.  Chronic post-stroke fatigue: It may no longer be about the stroke itself.

Authors:  Karen Chen; Elisabeth B Marsh
Journal:  Clin Neurol Neurosurg       Date:  2018-09-17       Impact factor: 1.876

3.  Factors influencing survival after stroke in Western Australia.

Authors:  Andy H Lee; Peter J Somerford; Kelvin K W Yau
Journal:  Med J Aust       Date:  2003-09-15       Impact factor: 7.738

4.  Charlson Index comorbidity adjustment for ischemic stroke outcome studies.

Authors:  Larry B Goldstein; Gregory P Samsa; David B Matchar; Ronnie D Horner
Journal:  Stroke       Date:  2004-07-01       Impact factor: 7.914

Review 5.  Long-term outcome after ischaemic stroke/transient ischaemic attack.

Authors:  Graeme J Hankey
Journal:  Cerebrovasc Dis       Date:  2003       Impact factor: 2.762

6.  Relative risks for stroke by age, sex, and population based on follow-up of 18 European populations in the MORGAM Project.

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Journal:  Stroke       Date:  2009-06-11       Impact factor: 7.914

7.  Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

Authors:  Karen Barnett; Stewart W Mercer; Michael Norbury; Graham Watt; Sally Wyke; Bruce Guthrie
Journal:  Lancet       Date:  2012-05-10       Impact factor: 79.321

8.  Heterogeneity in costs and prognosis for acute ischemic stroke treatment by comorbidities.

Authors:  Euna Han; Tae Hyun Kim; Heejo Koo; Joonsang Yoo; Ji Hoe Heo; Hyo Suk Nam
Journal:  J Neurol       Date:  2019-03-16       Impact factor: 4.849

9.  Co-prescription trends in a large cohort of subjects predict substantial drug-drug interactions.

Authors:  Jeffrey J Sutherland; Thomas M Daly; Xiong Liu; Keith Goldstein; Joseph A Johnston; Timothy P Ryan
Journal:  PLoS One       Date:  2015-03-04       Impact factor: 3.240

10.  Stroke, multimorbidity and polypharmacy in a nationally representative sample of 1,424,378 patients in Scotland: implications for treatment burden.

Authors:  Katie I Gallacher; G David Batty; Gary McLean; Stewart W Mercer; Bruce Guthrie; Carl R May; Peter Langhorne; Frances S Mair
Journal:  BMC Med       Date:  2014-10-03       Impact factor: 8.775

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