Literature DB >> 29171148

Comorbidity and the increased mortality after hospitalization for stroke: a population-based cohort study.

P Corraini1, S K Szépligeti1, V W Henderson1,2, A G Ording1, E Horváth-Puhó1, H T Sørensen1,2.   

Abstract

Essentials Comorbidity is prevalent in the stroke population and affects post-stroke survival. A stroke patient cohort (n = 201 691) and a general population cohort were followed for survival. Cancer and advanced renal/liver disease substantially increased one-year stroke mortality. Tailoring stroke interventions according to comorbidity may reduce excess mortality.
SUMMARY: Background Comorbidity is prevalent among stroke patients, affecting post-stroke survival. It remains unknown whether comorbidity impacts post-stroke mortality beyond the combined individual effects of stroke and comorbidity. Methods Using nationwide Danish databases, we performed a cohort study of 201 691 patients ≥ 18 years old with incident ischemic stroke, intracerebral or subarachnoid hemorrhage, or unspecified stroke during 1995-2012, and 992 942 adults from the general population, matched to stroke patients by birth year, sex and individual comorbidities in the Charlson Comorbidity Index. During up to 5 years of follow-up, we computed standardized mortality rates (SMRs) to assess interaction contrasts as a measure of excess mortality not explained by the additive effects of stroke and comorbidity acting alone. Results Five-year post-stroke mortality was 48%, corresponding to an SMR of 187 deaths per 1000 person-years. During the 30-day peak post-stroke mortality (SMR, 180 per 1000 person-months), interaction with comorbidity represented 23%, 34% and 51% of post-stroke mortality rates among patients with low (score = 1), moderate (score = 2-3) and high (score = 4+) comorbidity based on Charlson Comorbidity Index scores. The interaction accounted for 5% to 32% of subsequent 31-365-day post-stroke mortality rates, depending on comorbidity level. The interaction contrasts were most notable among comorbid patients with cancer, particularly with hematological or metastatic disease, followed by patients with moderate-to-severe liver or renal disease. Conclusion Comorbidity, notably cancer and advanced renal or liver disease, increased 1-year mortality after stroke beyond the combined effects expected from either disease acting alone.
© 2017 International Society on Thrombosis and Haemostasis.

Entities:  

Keywords:  blood coagulation disorders; epidemiology; multimorbidity; stroke; survival

Mesh:

Year:  2017        PMID: 29171148     DOI: 10.1111/jth.13908

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  10 in total

1.  Bariatric Surgery Decreases the Risk of Non-traffic Accident-Related Fractures in Patients with Obesity: Real-world Data from Taiwan.

Authors:  Wei Leng Chin; Po-Jui Chi; Wei-Chieh Hung; Chi-Wei Lin; Chung-Yen Chen; Jian-Han Chen
Journal:  Obes Surg       Date:  2021-02-19       Impact factor: 4.129

2.  Lesion site and therapy time predict responses to a therapy for anomia after stroke: a prognostic model development study.

Authors:  Thomas M H Hope; Davide Nardo; Rachel Holland; Sasha Ondobaka; Haya Akkad; Cathy J Price; Alexander P Leff; Jenny Crinion
Journal:  Sci Rep       Date:  2021-09-17       Impact factor: 4.379

3.  Health outcomes after acute ischemic stroke:retrospective and survival analysis from Oman.

Authors:  Abdullah M Al Alawi; Ikhlas Al Busaidi; Emaad Al Shibli; Al-Reem Al-Senaidi; Shahd Al Manwari; Ibtisam Al Busaidi; Fatema Muhanna; Ahmed Al Qassabi
Journal:  Ann Saudi Med       Date:  2022-08-04       Impact factor: 1.707

4.  Long-term outcome after ischemic stroke in relation to comorbidity - An observational study from the Swedish Stroke Register (Riksstroke).

Authors:  Stefan Sennfält; Mats Pihlsgård; Jesper Petersson; Bo Norrving; Teresa Ullberg
Journal:  Eur Stroke J       Date:  2019-10-22

5.  Prognosis of Acute Ischaemic Stroke Patients with Cancer: A National Inpatient Sample Study.

Authors:  Tiberiu A Pana; Mohamed O Mohamed; Mamas A Mamas; Phyo K Myint
Journal:  Cancers (Basel)       Date:  2021-05-03       Impact factor: 6.639

6.  Machine learning to predict mortality after rehabilitation among patients with severe stroke.

Authors:  Domenico Scrutinio; Carlo Ricciardi; Leandro Donisi; Ernesto Losavio; Petronilla Battista; Pietro Guida; Mario Cesarelli; Gaetano Pagano; Giovanni D'Addio
Journal:  Sci Rep       Date:  2020-11-18       Impact factor: 4.379

7.  Long-term mortality in young and middle-aged adults hospitalised with chronic disease: a Danish cohort study.

Authors:  Nils Skajaa; Anne Gulbech Ording; Bianka Darvalics; Erzsebet Horvath-Puho; Henrik Toft Sørensen
Journal:  BMJ Open       Date:  2020-10-12       Impact factor: 2.692

8.  Physical Activity and Diet Quality Modify the Association between Comorbidity and Disability among Stroke Patients.

Authors:  Lien T K Nguyen; Binh N Do; Dinh N Vu; Khue M Pham; Manh-Tan Vu; Hoang C Nguyen; Tuan V Tran; Hoang P Le; Thao T P Nguyen; Quan M Nguyen; Cuong Q Tran; Kien T Nguyen; Shwu-Huey Yang; Jane C-J Chao; Tuyen Van Duong
Journal:  Nutrients       Date:  2021-05-13       Impact factor: 5.717

9.  Complications and Mortality after Surgeries in Patients with Prior Stroke Who Received General and Neuraxial Anesthesia: A Propensity-Score Matched Study.

Authors:  Yi-Ting Kao; Chuen-Chau Chang; Chun-Chieh Yeh; Chaur-Jong Hu; Yih-Giun Cherng; Ta-Liang Chen; Chien-Chang Liao
Journal:  J Clin Med       Date:  2022-03-09       Impact factor: 4.241

10.  Ischemic stroke patients with prestroke dependency: Characteristics and long-term prognosis.

Authors:  Stefan Sennfält; Mats Pihlsgård; Bo Norrving; Teresa Ullberg; Jesper Petersson
Journal:  Acta Neurol Scand       Date:  2020-08-18       Impact factor: 3.915

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.