Predictors of Hospital Mortality in Patients with Atrial Fibrillation and Stroke


Predictors, hospital mortality, patients, atrial fibrillation, stroke.

How to Cite

D.M. Akpanova, D.A. Ospanova, S.F. Berkinbayev, A.T. Mussagaliyeva, & A.M. Grjibovsk. (2019). Predictors of Hospital Mortality in Patients with Atrial Fibrillation and Stroke. Journal of Pharmacy and Nutrition Sciences, 9(1), 49–59.


Atrial fibrillation is one of the most common cardiac arrhythmias; it accounts for about a third of all hospital admissions for cardiac arrhythmias. Currently, there is a tendency of aging of the population and an increase in overall life expectancy, which will further lead to an increase in the number of patients with atrial fibrillation.
Usually atrial fibrillation is associated with a number of symptoms such as palpitations, interruptions, shortness of breath, pain in the heart area, fatigue, dizziness and syncopal states, but at the same time the course of both paroxysmal and permanent atrial fibrillation may not be accompanied by obvious symptoms or a noticeable decrease in quality life. Such asymptomatic atrial fibrillation is usually diagnosed by chance during an examination and can be considered a clinical finding. According to a number of studies, every third to fifth patient with atrial fibrillation was asymptomatic, and in a recently completed study in patients with paroxysmal atrial fibrillation, more than 50% of all episodes of arrhythmia were asymptomatic. When newly diagnosed atrial fibrillation, the asymptomatic form may occur in 83.2% of cases [1].
The purpose of the research is on the basis of studying the clinical features of the course of atrial fibrillation, determine the effect of asymptomatic arrhythmia on the development of fatal complications and patient survival in various forms of atrial fibrillation and develop a therapeutic strategy for managing patients with asymptomatic atrial fibrillation for the first time.


Lopez AD, Mathers CD, Ezzatti M, Jamison DT, Murray CJ. Global and regional risk and risk factors, 2001: systematic analysis of population health data. Lancet 2006; 367: 1747-1757.

Kolominsky-Rabas PL, Weber M, Gefeller O, Neundoerfer B, Heuschmann PU. Epidemiology of ishemic stroke subtypes according to the TOAST criteria: incidence, recurrence, and long-term survival in ishemic stroke subtypes: a population-based study. Stroke 2001; 32(12): 2735-40.

Marrone LCP, Brunelli JPF, Saute RL, Tomasi GH, et al. Source in South of Brazil. Thrombosis Volume 2014, Article ID 753780.

Steger C, Pratter A, Martinek-Bregel M, et al. Stroke patients with atrial fibrillation have a worse prognosis than patients. Eur Heart J 2004; 25(19): 1734-1740.

Arboix A, Garcia-Eroles L, Massons JB, Oliveres M, Pujades R, Targa C. Atrial fibrillation and clinical presentation of cardioembolic versus atherothrombotic infarction. Int J Cardiol 2000; 73(1): 33-42.

Ong C-T, Wong Y-S, Wu C-S, Su Y-H. Atrial fibrillation is a predictor of in-hospital mortality in ischemic stroke patients. Ther Clin Risk Manag 2016; 12: 1057-1064.

Lin S, Wu B, Hao ZL, et al. Characteristics of the Chinese hospital-based stroke study. Cerebrovasc Dis 2011; 31(5): 419-426.

Heuschmann PU, Kolominsky-Rabas PL, Misselwitz B, Hermanek P, Leffmann C, Janzen RW, Rother J, Buecker-Nott HJ, Berger K. German Stroke Registers Study Group. The Stroke Registers Study Group. Arch Intern Med 2004; 164(16): 1761-8.

Ho WM, Lin JR, Wang HH, Liou CW, Chang KC, Lee JD, Peng TY, Yang JT, Chang YJ, Chang CH, Lee TH. Prediction of in-hospital stroke. Springerplus 2016; 5(1): 1051.

Mittal SH, Goel D, Mittal M, Govil T, Mittal S. Identification of Mortality-related Predictive Factors in Hospitalized Patients with Ischemic Stroke. Astrocyte 2015; 1(4): 272-276.

David SH, Bell MB. Stroke in the Diabetic Patient. Diabetes Care 1994; 17(3): 213-219.

Goldstein LB, Adams R, Becker K, et al. For the Members. AHA Stroke Council. Primary Prevention of Ischemic Stroke. The Statement on the American Heart Association. Circulation 2001; 103: 163.

Owolabi L, Nagode M, Ibrahim A, Uloko A, Gezawa I, Datti M. Stroke in patients with diabetes mellitus: a study from North Western Nigeria. Afr Health Sci 2016; 16(3): 781-789.

Hamidon BB, Raymond AA. The impact of diabetes mellitus on in-hospital stroke mortality. J Postgrad Med 2003; 49(4): 307-9.

Cestari DM, Weine DM, Panageas KS, Segal AZ, DeAngelis LM. Stroke in patients with cancer: incidence and etiology. Neurology 2004; 62(11): 2025-30.

Zhang YY, Chan DK, Cordato D, Shen Q, Sheng AZ. Stroke risk factor, pattern and outcomes in patients with cancer. Acta Neurol Scand 2006; 114(6): 378-83.

Zhang YY, Cordato D, Shen Q, Sheng AZ, Hung WT, Chan DK. Risk factor, pattern, etiology and ischemic stroke patients with cancer: a nested case-control study. Cerebrovasc Dis 2007; 23(2-3): 181-7.

Aarnio K, Joensuu H, Haapaniemi E, Melkas S, Kaste M, Tatlisumak T, et al. Cancer in young adults with ischemic stroke. Stroke 2015; 46: 1601-1606.

Toyoda K, Ninomiya T. Stroke and cerebrovascular diseases in chronic kidney disease. Lancet Neurol 2014; 13(8): 823-33.

Snarska K, Kapica-Topczewska K, Bachórzewska-Gajewska H, Ma?yszko J. Renal Function Predicts Outcomes in Patients with Ischaemic Stroke and Haemorrhagic Stroke. Kidney Blood Press Res 2016; 41(4): 424-33.

Khatri M, Himmelfarb J, Adams D, Becker K, Longstreth WT, Tirschwell DL. Acute kidney injury after stroke. J Stroke Cerebrovasc Dis 2014; 23(1): 25-30.

Covic A, Schiller A, Mardare NG, Petrica L, Petrica M, Mihaescu A, Posta N. Nephrol Dial Transplant 2008; 23(7): 2228-34.

Sabin CA, Ryom L, Kovari H, Kirk O, de Wit S, Law M, Reiss P, Dabis F, Pradier C, El-Sadr W, Monforte AD, Kamara D, Phillips AN, Lundgren JD. Association between ALT level.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2019 D.M. Akpanova , D.A. Ospanova , S.F. Berkinbayev , A.T. Mussagaliyeva , A.M. Grjibovsk