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Modeling Survival in Patients With Brain Stroke in the Presence of Competing Risks

  • Norouzi, Solmaz (Department of Statistics and Epidemiology, Faculty of Medicine, Zanjan University of Medical Sciences) ;
  • Jafarabadi, Mohammad Asghari (Department of Statistics and Epidemiology and Road Traffic Injury Research Center, Faculty of Health, Tabriz University of Medical Sciences) ;
  • Shamshirgaran, Seyed Morteza (Department of Statistics and Epidemiology, Faculty of Health Sciences, Neyshabur University of Medical Sciences) ;
  • Farzipoor, Farshid (Department of Health Education and Promotion, Faculty of Health, Tabriz University of Medical Sciences) ;
  • Fallah, Ramazan (Department of Statistics and Epidemiology, Faculty of Medicine, Zanjan University of Medical Sciences)
  • Received : 2020.09.20
  • Accepted : 2020.12.04
  • Published : 2021.01.31

Abstract

Objectives: After heart disease, brain stroke (BS) is the second most common cause of death worldwide, underscoring the importance of understanding preventable and treatable risk factors for the outcomes of BS. This study aimed to model the survival of patients with BS in the presence of competing risks. Methods: This longitudinal study was conducted on 332 patients with a definitive diagnosis of BS. Demographic characteristics and risk factors were collected by a validated checklist. Patients' mortality status was investigated by telephone follow-up to identify deaths that may be have been caused by stroke or other factors (heart disease, diabetes, high cholesterol, etc.). Data were analyzed by the Lunn-McNeil approach at alpha=0.1. Results: Older age at diagnosis (59-68 years: adjusted hazard ratio [aHR], 2.19; 90% confidence interval [CI], 1.38 to 3.48; 69-75 years: aHR, 5.04; 90% CI, 3.25 to 7.80; ≥76 years: aHR, 5.30; 90% CI, 3.40 to 8.44), having heart disease (aHR, 1.65; 90% CI, 1.23 to 2.23), oral contraceptive pill use (women only) (aHR, 0.44; 90% CI, 0.24 to 0.78) and ischemic stroke (aHR, 0.52; 90% CI, 0.36 to 0.74) were directly related to death from BS. Older age at diagnosis (59-68 years: aHR, 21.42; 90% CI, 3.52 to 130.39; 75-69 years: aHR, 16.48; 90% CI, 2.75 to 98.69; ≥76 years: aHR, 26.03; 90% CI, 4.06 to 166.93) and rural residence (aHR, 2.30; 90% CI, 1.15 to 4.60) were directly related to death from other causes. Significant risk factors were found for both causes of death. Conclusions: BS-specific and non-BS-specific mortality had different risk factors. These findings could be utilized to prescribe optimal and specific treatment.

Keywords

References

  1. Feigin VL, Norrving B, Mensah GA. Global Burden of Stroke. Circ Res 2017 Feb 3;120(3):439-448. https://doi.org/10.1161/CIRCRESAHA.116.308413
  2. Boehme AK, Esenwa C, Elkind MS. Stroke risk factors, genetics, and prevention. Circ Res 2017;120(3):472-495. https://doi.org/10.1161/CIRCRESAHA.116.308398
  3. Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM, et al. Heart disease and stroke statistics-2011 update: a report from the American Heart Association. Circulation 2011; 123(4):e18-e209.
  4. Ovbiagele B, Goldstein LB, Higashida RT, Howard VJ, Johnston SC, Khavjou OA, et al. Forecasting the future of stroke in the United States: a policy statement from the American Heart Association and American Stroke Association. Stroke 2013; 44(8):2361-2375. https://doi.org/10.1161/STR.0b013e31829734f2
  5. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics-2015 update: a report from the American Heart Association. Circulation 2015; 131(4):e29-e322. https://doi.org/10.1161/CIR.0000000000000152
  6. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 2006;367(9524): 1747-1757. https://doi.org/10.1016/S0140-6736(06)68770-9
  7. Azarpazhooh MR, Etemadi MM, Donnan GA, Mokhber N, Majdi MR, Ghayour-Mobarhan M, et al. Excessive incidence of stroke in Iran: evidence from the Mashhad Stroke Incidence Study (MSIS), a population-based study of stroke in the Middle East. Stroke 2010;41(1):e3-e10. https://doi.org/10.1161/STROKEAHA.109.559708
  8. Delbari A, Salman Roghani R, Tabatabaei SS, Lokk J. A stroke study of an urban area of Iran: risk factors, length of stay, case fatality, and discharge destination. J Stroke Cerebrovasc Dis 2010;19(2):104-109. https://doi.org/10.1016/j.jstrokecerebrovasdis.2009.06.003
  9. Petty GW, Brown RD Jr, Whisnant JP, Sicks JD, O'Fallon WM, Wiebers DO. Ischemic stroke subtypes: a population-based study of functional outcome, survival, and recurrence. Stroke 2000;31(5):1062-1068. https://doi.org/10.1161/01.str.31.5.1062
  10. Bravata DM, Ho SY, Meehan TP, Brass LM, Concato J. Readmission and death after hospitalization for acute ischemic stroke: 5-year follow-up in the medicare population. Stroke 2007;38(6): 1899-1904. https://doi.org/10.1161/strokeaha.106.481465
  11. Roth EJ, Lovell L, Harvey RL, Heinemann AW, Semik P, Diaz S. Incidence of and risk factors for medical complications during stroke rehabilitation. Stroke 2001;32(2):523-529. https://doi.org/10.1161/01.STR.32.2.523
  12. Friday G, Alter M, Lai SM. Control of hypertension and risk of stroke recurrence. Stroke 2002;33(11):2652-2657. https://doi.org/10.1161/01.str.0000033929.62136.6f
  13. Straus SE, Majumdar SR, McAlister FA. New evidence for stroke prevention: scientific review. JAMA 2002;288(11):1388-1395. https://doi.org/10.1001/jama.288.11.1388
  14. Sheehy SB, Lee G. Emergency nursing: principles and practice. 3rd ed. St. Louis: Mosby Year Book; 1992, p. 112-119.
  15. Amini Sani N, Savadi Oskoui D, Shamshirgaran S, Dastgiri S, Hashemilar M, Jafariani M. One-month stroke case-fatality rate in Ardabil province, 2004. J Ardabil Univ Med Sci 2007; 7(4):353-356 (Persian).
  16. Bakoyannis G, Touloumi G. Practical methods for competing risks data: a review. Stat Methods Med Res 2012;21(3):257-272. https://doi.org/10.1177/0962280210394479
  17. Cooke RM, Morales-Napoles O. Competing risk and the Cox proportional hazard model. J Stat Plan Inference 2006;136(5): 1621-1637. https://doi.org/10.1016/j.jspi.2004.09.017
  18. Someeh N, Shamshirgaran SM, Farzipoor F, Asghari-Jafarabadi M. The moderating role of underlying predictors of survival in patients with brain stroke: a statistical modeling. Sci Rep 2020; 10(1):15833. https://doi.org/10.1038/s41598-020-72814-w
  19. Kleinbaum DG, Klein M. Survival analysis. New York: Springer; 2010, p. 455-467.
  20. Asghari Jafarabadi M, Pourhosseingholi MA, Hajizadeh E, Fatemi SR. State of art the competing risks survival analysis for cancer patients. Transl Gastrointest Cancer 2014;3(4):155-159.
  21. Kleinbaum DG, Klein M. Competing risks survival analysis. In: Kleinbaum DG, Klein M, editors. Survival analysis: a self-learning text. New York: Springer; 2005, p. 391-461.
  22. Hardie K, Hankey GJ, Jamrozik K, Broadhurst RJ, Anderson C. Ten-year survival after first-ever stroke in the Perth community stroke study. Stroke 2003;34(8):1842-1846. https://doi.org/10.1161/01.str.0000082382.42061.ee
  23. Putaala J, Yesilot N, Waje-Andreassen U, Pitkaniemi J, Vassilopoulou S, Nardi K, et al. Demographic and geographic vascular risk factor differences in European young adults with ischemic stroke: the 15 cities young stroke study. Stroke 2012; 43(10):2624-2630. https://doi.org/10.1161/strokeaha.112.662866
  24. Mazaheri S, Beheshti F, Hosseinzadeh A, Mazdeh M, Ghiasian M. Epidemiologic study of cardinal risk factors of stroke in patients who referred to Farshchian hospital of Hamadan during 2014-2015. Avicenna J Clin Med 2016;22(4):331-337 (Persian).
  25. Farghaly WM, El-Tallawy HN, Shehata GA, Rageh TA, Abdel-Hakeem NM, Elhamed MA, et al. Epidemiology of nonfatal stroke and transient ischemic attack in Al-Kharga District, New Valley, Egypt. Neuropsychiatr Dis Treat 2013;9:1785-1790. https://doi.org/10.2147/NDT.S48322
  26. Andersen MN, Andersen KK, Kammersgaard LP, Olsen TS. Sex differences in stroke survival: 10-year follow-up of the Copenhagen stroke study cohort. J Stroke Cerebrovasc Dis 2005;14(5): 215-220. https://doi.org/10.1016/j.jstrokecerebrovasdis.2005.06.002
  27. Madsen TE, Howard VJ, Jimenez M, Rexrode KM, Acelajado MC, Kleindorfer D, et al. Impact of conventional stroke risk factors on stroke in women: an update. Stroke 2018;49(3):536-542. https://doi.org/10.1161/STROKEAHA.117.018418
  28. Javor A, Ferrari J, Posekany A, Asenbaum-Nan S. Stroke risk factors and treatment variables in rural and urban Austria: an analysis of the Austrian Stroke Unit Registry. PLoS One 2019; 14(4):e0214980. https://doi.org/10.1371/journal.pone.0214980
  29. Ferri CP, Schoenborn C, Kalra L, Acosta D, Guerra M, Huang Y, et al. Prevalence of stroke and related burden among older people living in Latin America, India and China. J Neurol Neurosurg Psychiatry 2011;82(10):1074-1082. https://doi.org/10.1136/jnnp.2010.234153
  30. Li Y, Zhang X, Sang H, Niu X, Liu T, Liu W, et al. Urban-rural differences in risk factors for ischemic stroke in northern China. Medicine (Baltimore) 2019;98(21):e15782. https://doi.org/10.1097/md.0000000000015782
  31. Gnonlonfoun DD, Adjien C, Ossou-Nguiet PM, Avlessi I, Goudjinou G, Houannou O, et al. Stroke: medium and long-term mortality and associated factors in French-speaking West Africa, case of Benin. World J Neurosci 2014;4(1):68-74. https://doi.org/10.4236/wjns.2014.41008
  32. Carlton C, Banks M, Sundararajan S. Oral contraceptives and ischemic stroke risk. Stroke 2018;49(4):e157-e159. https://doi.org/10.1161/STROKEAHA.117.020084
  33. Gillum LA, Mamidipudi SK, Johnston SC. Ischemic stroke risk with oral contraceptives: a meta-analysis. JAMA 2000;284(1): 72-78. https://doi.org/10.1001/jama.284.1.72
  34. Rutten-Jacobs LC, Arntz RM, Maaijwee NA, Schoonderwaldt HC, Dorresteijn LD, van Dijk EJ, et al. Long-term mortality after stroke among adults aged 18 to 50 years. JAMA 2013;309(11): 1136-1144. https://doi.org/10.1001/jama.2013.842
  35. Goulart AC. "EMMA Study: a Brazilian community-based cohort study of stroke mortality and morbidity". Sao Paulo Med J 2016;134(6):543-554. https://doi.org/10.1590/1516-3180.2016.024227092016
  36. Mogensen UB, Olsen TS, Andersen KK, Gerds TA. Cause-specific mortality after stroke: relation to age, sex, stroke severity, and risk factors in a 10-year follow-up study. J Stroke Cerebrovasc Dis 2013;22(7):e59-e65. https://doi.org/10.1016/j.jstrokecerebrovasdis.2012.04.006