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Published in: Journal of Neurology 6/2019

01-06-2019 | Stroke | Original Communication

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

Published in: Journal of Neurology | Issue 6/2019

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Abstract

Objective

Comorbidities are prevalent among stroke patients. The current study assesses the variations in cost and stroke prognosis by concurrent comorbidities in patients with acute ischemic stroke.

Methods

The Charlson comorbidity index was used as the composite comorbidity level (0 none, 1 mild, 2 moderate, and ≥ 3 severe). Outcomes included modified Rankin Scale (mRS) at 3 months and 1-year mortality and stroke recurrence. We utilized a multivariate log-normal model for cost, a proportional Cox hazards model for outcomes, and a decision analytic model for the excess cost per unit change in outcome probability compared with the no-comorbidity group.

Results

A total of 3605 consecutive patients were enrolled. At 3 months, the severe comorbidity group was 0.32 times less likely to have mRS ≤ 2, and were 4.86 times more likely to die from stroke than the no-comorbidity group. Within 1 year, the severe comorbidity group showed 10.36 and 3.38 times higher likelihoods of death from stroke and stroke recurrence than the no-comorbidity group. The incremental cost was 4376 in 3 months and 7074 USD in 1 year for the severe comorbidity group, and 985 in 3 months and 1265 USD in 1 year for the mild comorbidity group compared to the no-comorbidity group.

Conclusion

The excess cost per unit increase of a short-term good prognosis was largest for the severe comorbidity group. Patients with severe comorbidities showed poor prognosis and large health expenditure. Assessing comorbidity level is crucial for better prediction of outcomes and excess cost.
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Literature
1.
go back to reference Feigin VL (2015) Update on the global burden of ischaemic and haemorrhagic stroke in 1990–2013: the GBD 2013 study. Neuroepidemiol 45(3):161–176CrossRef Feigin VL (2015) Update on the global burden of ischaemic and haemorrhagic stroke in 1990–2013: the GBD 2013 study. Neuroepidemiol 45(3):161–176CrossRef
2.
go back to reference Feigin VL, Norrving B, Mensah GA (2017) Global burden of stroke. Circ Res 120(3):439–448CrossRef Feigin VL, Norrving B, Mensah GA (2017) Global burden of stroke. Circ Res 120(3):439–448CrossRef
3.
go back to reference Hankey GJ (2003) Long-term outcome after ischaemic stroke/transient ischaemic attack. Cerebrovasc Dis 16(1):14–19CrossRefPubMed Hankey GJ (2003) Long-term outcome after ischaemic stroke/transient ischaemic attack. Cerebrovasc Dis 16(1):14–19CrossRefPubMed
4.
go back to reference Kostulas N, Markaki I, Cansu H, Masterman T, Kostulas V (2009) Hyperglycaemia in acute ischaemic stroke is associated with an increased 5-year mortality. Age Ageing 38(5):590–594CrossRefPubMed Kostulas N, Markaki I, Cansu H, Masterman T, Kostulas V (2009) Hyperglycaemia in acute ischaemic stroke is associated with an increased 5-year mortality. Age Ageing 38(5):590–594CrossRefPubMed
5.
go back to reference Feigin VL, Krishnamurthi RV, Parmar P, Norrving B, Mensah GA, Bennett DA et al (2015) Update on the global burden of ischemic and hemorrhagic stroke in 1990–2013: the GBD 2013 study. Neuroepidemiol 45:161–176CrossRef Feigin VL, Krishnamurthi RV, Parmar P, Norrving B, Mensah GA, Bennett DA et al (2015) Update on the global burden of ischemic and hemorrhagic stroke in 1990–2013: the GBD 2013 study. Neuroepidemiol 45:161–176CrossRef
6.
go back to reference Karvanen AK, Giampaoli S, Jousilahti P, Niemelä M, Broda G, Cesana G et al (2009) MORGAM project relative risks for stroke by age, sex, and population based on follow-up of 18 European populations in the MORGAM project. Stroke 40:2319–2326CrossRefPubMed Karvanen AK, Giampaoli S, Jousilahti P, Niemelä M, Broda G, Cesana G et al (2009) MORGAM project relative risks for stroke by age, sex, and population based on follow-up of 18 European populations in the MORGAM project. Stroke 40:2319–2326CrossRefPubMed
7.
go back to reference Seshadri S, Beiser A, Kelly-Hayes M (2006) The lifetime risk of stroke: estimates from the Framingham Study. Stroke 37:345–350CrossRefPubMed Seshadri S, Beiser A, Kelly-Hayes M (2006) The lifetime risk of stroke: estimates from the Framingham Study. Stroke 37:345–350CrossRefPubMed
8.
go back to reference Lee AH, Somerford PJ, Yau KK (2003) Factors influencing survival after stroke in Western Australia. Med J Aust 179(6):289–293PubMed Lee AH, Somerford PJ, Yau KK (2003) Factors influencing survival after stroke in Western Australia. Med J Aust 179(6):289–293PubMed
9.
go back to reference Koton S, Tanne D, Green MS, Bornstein NM (2010) Mortality and predictors of death 1 month and 3 years after first-ever ischemic stroke: data from the first national acute stroke Israeli survey (NASIS 2004). Neuroepidemiol 34(2):90–96CrossRef Koton S, Tanne D, Green MS, Bornstein NM (2010) Mortality and predictors of death 1 month and 3 years after first-ever ischemic stroke: data from the first national acute stroke Israeli survey (NASIS 2004). Neuroepidemiol 34(2):90–96CrossRef
10.
go back to reference Schmidt M, Jacobsen JB, Johnsen SP, Botker HE, Sorensen HT (2014) Eighteen-year trends in stroke mortality and the prognostic influence of comorbidity. Neurol 82:340–350CrossRef Schmidt M, Jacobsen JB, Johnsen SP, Botker HE, Sorensen HT (2014) Eighteen-year trends in stroke mortality and the prognostic influence of comorbidity. Neurol 82:340–350CrossRef
11.
go back to reference Turhan N, Atalay A, Muderrisoglu H (2009) Predictors of functional outcome in first-ever ischemic stroke: a special interest to ischemic subtypes, comorbidity and age. NeuroRehabilitation 24:321–326PubMed Turhan N, Atalay A, Muderrisoglu H (2009) Predictors of functional outcome in first-ever ischemic stroke: a special interest to ischemic subtypes, comorbidity and age. NeuroRehabilitation 24:321–326PubMed
12.
go back to reference Demaerschalk BM, Kleindorfer DO, Adeoye OM, Demchuk AM, Fugate JE, Grotta JC et al (2016) Scientific rationale for the inclusion and exclusion criteria for intravenous alteplase in acute ischemic stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 47(2):581–641CrossRef Demaerschalk BM, Kleindorfer DO, Adeoye OM, Demchuk AM, Fugate JE, Grotta JC et al (2016) Scientific rationale for the inclusion and exclusion criteria for intravenous alteplase in acute ischemic stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 47(2):581–641CrossRef
13.
go back to reference Lee BI, Nam HS, Heo JH, Kim DI, Yonsei Stroke Team (2001) Yonsei stroke registry. Analysis of 1000 patients with acute cerebral infarctions. Cerebrovasc Dis 12:145–151CrossRefPubMed Lee BI, Nam HS, Heo JH, Kim DI, Yonsei Stroke Team (2001) Yonsei stroke registry. Analysis of 1000 patients with acute cerebral infarctions. Cerebrovasc Dis 12:145–151CrossRefPubMed
14.
go back to reference Brott T, Adams HP Jr, Olinger CP (1989) Measurement of acute cerebral infarction: a clinical examination scale. Stroke 20:864–870CrossRef Brott T, Adams HP Jr, Olinger CP (1989) Measurement of acute cerebral infarction: a clinical examination scale. Stroke 20:864–870CrossRef
15.
go back to reference Goldstein LB, Bertels C, Davis JN (1989) Interrater reliability of the NIH stroke scale. Arch Neurol 46:660–662CrossRefPubMed Goldstein LB, Bertels C, Davis JN (1989) Interrater reliability of the NIH stroke scale. Arch Neurol 46:660–662CrossRefPubMed
16.
go back to reference Schroeder V, Ortner E, Mono M-L, Galimanis A, Meier N, Findling O et al (2010) Coagulation factor XIII activation peptide and subunit levels in patients with acute ischaemic stroke: a pilot study. Thromb Res 126:e122–e127CrossRefPubMed Schroeder V, Ortner E, Mono M-L, Galimanis A, Meier N, Findling O et al (2010) Coagulation factor XIII activation peptide and subunit levels in patients with acute ischaemic stroke: a pilot study. Thromb Res 126:e122–e127CrossRefPubMed
17.
go back to reference Rangaraju S, Jovin TG, Frankel M, Schonewille WJ, Algra A, Kappelle LJ et al (2016) Neurologic examination at 24–48 h predicts functional outcomes in basilar artery occlusion stroke. Stroke 47(10):2534–2540CrossRefPubMedPubMedCentral Rangaraju S, Jovin TG, Frankel M, Schonewille WJ, Algra A, Kappelle LJ et al (2016) Neurologic examination at 24–48 h predicts functional outcomes in basilar artery occlusion stroke. Stroke 47(10):2534–2540CrossRefPubMedPubMedCentral
18.
go back to reference Rangaraju S, Frankel M, Jovin TG (2016) Prognostic value of the 24-h neurological examination in anterior circulation ischemic stroke: a post hoc analysis of two randomized controlled stroke trials. Interv Neurol 4(3–4):120–129PubMedPubMedCentral Rangaraju S, Frankel M, Jovin TG (2016) Prognostic value of the 24-h neurological examination in anterior circulation ischemic stroke: a post hoc analysis of two randomized controlled stroke trials. Interv Neurol 4(3–4):120–129PubMedPubMedCentral
19.
go back to reference Nam HS, Kim HC, Kim YD (2012) Long-term mortality in patients with stroke of undetermined etiology. Stroke 43:2948–2956CrossRefPubMed Nam HS, Kim HC, Kim YD (2012) Long-term mortality in patients with stroke of undetermined etiology. Stroke 43:2948–2956CrossRefPubMed
20.
go back to reference Hong KS, Bang OY, Kang DW, Yu KH, Bae HJ, Lee JS et al (2013) Stroke statistics in Korea: part I. Epidemiology and risk factors: a report from the Korean Stroke Society and Clinical Research Center for Stroke. J Stroke 15(1):2–20CrossRefPubMedPubMedCentral Hong KS, Bang OY, Kang DW, Yu KH, Bae HJ, Lee JS et al (2013) Stroke statistics in Korea: part I. Epidemiology and risk factors: a report from the Korean Stroke Society and Clinical Research Center for Stroke. J Stroke 15(1):2–20CrossRefPubMedPubMedCentral
21.
go back to reference Duncan PW, Goldstein LB, Matchar D, Divine GW, Feussner J (1992) Measurement of motor recovery after stroke. Outcome assessment and sample size requirements. Stroke 23:1084–1089CrossRefPubMed Duncan PW, Goldstein LB, Matchar D, Divine GW, Feussner J (1992) Measurement of motor recovery after stroke. Outcome assessment and sample size requirements. Stroke 23:1084–1089CrossRefPubMed
22.
go back to reference Lees KR, Bath PMW, Schellinger PD (2012) Contemporary outcome measures in acute stroke research. Stroke 43:1163–1170CrossRefPubMed Lees KR, Bath PMW, Schellinger PD (2012) Contemporary outcome measures in acute stroke research. Stroke 43:1163–1170CrossRefPubMed
24.
go back to reference Charlson ME, Pompei P, Ales KL, Mackenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383CrossRef Charlson ME, Pompei P, Ales KL, Mackenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383CrossRef
25.
go back to reference Duan N (1983) Smearing estimate: a nonparametric retransformation method. J Am Stat Assoc 383:605–610CrossRef Duan N (1983) Smearing estimate: a nonparametric retransformation method. J Am Stat Assoc 383:605–610CrossRef
26.
go back to reference Sarikaya H, Elmas F, Arnold M, Georgiadis D, Baumgartner RW (2011) Impact of obesity on stroke outcome after intravenous thrombolysis. Stroke 42:2330–2332CrossRefPubMed Sarikaya H, Elmas F, Arnold M, Georgiadis D, Baumgartner RW (2011) Impact of obesity on stroke outcome after intravenous thrombolysis. Stroke 42:2330–2332CrossRefPubMed
27.
go back to reference Sun W, Huang Y, Xian Y, Zhu S, Jia Z, Liu R et al (2017) Association of body mass index with mortality and functional outcome after acute ischemic stroke. Sci Rep 7:2507CrossRefPubMedPubMedCentral Sun W, Huang Y, Xian Y, Zhu S, Jia Z, Liu R et al (2017) Association of body mass index with mortality and functional outcome after acute ischemic stroke. Sci Rep 7:2507CrossRefPubMedPubMedCentral
28.
go back to reference Wolf PA, Abbott RD, Kannel WB (1991) Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 22(8):983–988CrossRef Wolf PA, Abbott RD, Kannel WB (1991) Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 22(8):983–988CrossRef
29.
go back to reference Kim BJ, Park JM, Kang K, Lee SJ, Ko Y, Kim JG et al (2015) Case characteristics, hyperacute treatment, and outcome information from the clinical research center for stroke-fifth division registry in South Korea. J Stroke 17:38–53CrossRefPubMedPubMedCentral Kim BJ, Park JM, Kang K, Lee SJ, Ko Y, Kim JG et al (2015) Case characteristics, hyperacute treatment, and outcome information from the clinical research center for stroke-fifth division registry in South Korea. J Stroke 17:38–53CrossRefPubMedPubMedCentral
30.
go back to reference Giaquinto S, Palma E, Maiolo I, Piro MT, Roncacci S, Sciarra A et al (2001) Importance and evaluation of comorbidity in rehabilitation. Disabil Rehabil 23:296–299CrossRefPubMed Giaquinto S, Palma E, Maiolo I, Piro MT, Roncacci S, Sciarra A et al (2001) Importance and evaluation of comorbidity in rehabilitation. Disabil Rehabil 23:296–299CrossRefPubMed
31.
go back to reference Liu M, Domen K, Chino N (1997) Comorbidity measures for stroke outcome research: a preliminary study. Arch Phys Med Rehabil 78:166–172CrossRefPubMed Liu M, Domen K, Chino N (1997) Comorbidity measures for stroke outcome research: a preliminary study. Arch Phys Med Rehabil 78:166–172CrossRefPubMed
32.
go back to reference Patrick L, Knoefel F, Gaskowski P, Rexroth D (2001) Medical comorbidity and rehabilitation efficiency in geriatric inpatients. J Am Geriatr Soc 49:1471–1477CrossRefPubMed Patrick L, Knoefel F, Gaskowski P, Rexroth D (2001) Medical comorbidity and rehabilitation efficiency in geriatric inpatients. J Am Geriatr Soc 49:1471–1477CrossRefPubMed
33.
go back to reference Fischer U, Arnold M, Nedeltchev K, Schoenenberger RA, Kappeler L, Hollinger PG (2006) Impact of comorbidity on ischemic stroke outcome. Acta Neurol Scand 113:108–113CrossRefPubMed Fischer U, Arnold M, Nedeltchev K, Schoenenberger RA, Kappeler L, Hollinger PG (2006) Impact of comorbidity on ischemic stroke outcome. Acta Neurol Scand 113:108–113CrossRefPubMed
34.
go back to reference Fried TR, O’Leary J, Towle V, Goldstein MK, Trentelange M, Martin DK (2014) The effects of comorbidity on the benefits and harms of treatment for chronic disease: a systematic review. PLoS One 9(11):e112593CrossRefPubMedPubMedCentral Fried TR, O’Leary J, Towle V, Goldstein MK, Trentelange M, Martin DK (2014) The effects of comorbidity on the benefits and harms of treatment for chronic disease: a systematic review. PLoS One 9(11):e112593CrossRefPubMedPubMedCentral
Metadata
Title
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
Publication date
01-06-2019
Publisher
Springer Berlin Heidelberg
Keyword
Stroke
Published in
Journal of Neurology / Issue 6/2019
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-019-09278-0

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