Journal of Internal Medicine Concepts & Practice >
Screening of risk or protective factors for prognosis and their interaction in elderly patients with stroke
Received date: 2024-07-17
Online published: 2025-10-27
Objective To explore the risk or protective factors and their interactions for recurrence after acute ischemic stroke (AIS). Methods A total of 143 AIS patients admitted in our hospital from March 2020 to March 2023 were selected and followed up, and general clinical data were collected. Twelve patients were lost to follow-up. The end point of follow-up was stroke recurrence. The risk factors of stroke recurrence were screened by COX analysis, and the interaction between risk factors was analyzed. Results Univariate COX analysis showed that age, modified Rankin scale (mRS) score, the National Institutes of Health stroke scale (NIHSS) score, activated partial thrombin time and diabetes history were risk factors for poor prognosis in elderly patients with AIS [hazard ratio (HR) > 1, P < 0.05]. Montreal cognitive assessment scale (MoCA) score and fibrinogen are protective factors for good prognosis in elderly patients with AIS (HR < 1, P > 0.05). Multivariate COX analysis showed that mRS score and NIHSS score were independent risk factors for poor prognosis in elderly patients with AIS (HR > 1, P > 0.05). MoCA score and fibrinogen are protective factors for good prognosis in elderly patients with AIS (HR < 1, P > 0.05). Patients with high mRS score and high NIHSS score had worse prognosis (P < 0.001). Patients with high MoCA score and high fibrinogen level had better prognosis (P < 0.001). mRS score, NIHSS score, MoCA score and fibrinogen level had no significant interaction. Conclusions mRS score and NIHSS score are independent risk factors for poor prognosis in elderly patients with AIS. MoCA score and independent protective factor of good prognosis in elderly patients with AIS of fibrinogen. There was no significant interaction between these risk factors and protective factors.
Key words: Elderly; Acute ischemic stroke; Recurrence; Risk factor
XU Ting , RONG Jieli , GU Renli , XU Yang , LIU Xiaojiang . Screening of risk or protective factors for prognosis and their interaction in elderly patients with stroke[J]. Journal of Internal Medicine Concepts & Practice, 2025 , 20(04) : 296 -300 . DOI: 10.16138/j.1673-6087.2025.04.06
| [1] | Feske SK. Ischemic stroke[J]. Am J Med, 2021, 134(12):1457-1464. |
| [2] | Herpich F, Rincon F. Management of acute ischemic stroke[J]. Crit Care Med, 2020, 48(11):1654-1663. |
| [3] | Walter K. What is acute ischemic stroke?[J]. JAMA, 2022, 327(9):885. |
| [4] | Joundi RA, Menon BK. Thrombus composition, imaging, and outcome prediction in acute ischemic stroke[J]. Neurology, 2021, 97(20Suppl 2):S68-S78. |
| [5] | Zubair AS, Sheth KN. Emergency care of patients with acute ischemic stroke[J]. Neurol Clin, 2021, 39(2):391-404. |
| [6] | 韩艺, 赵丽蓉, 张丽, 等. 老年脑卒中患者生活质量特征及影响因素分析[J]. 老年医学与保健, 2021, 27(5):959-961. |
| Han Y, Zhao LR, Zhang L, et al. Analysis of the characteristics and influencing factors of the quality of life of elderly stroke patients[J]. Geriatr Health Care, 2021, 27(5)959-961. | |
| [7] | Staessens S, De Meyer SF. Thrombus heterogeneity in ischemic stroke[J]. Platelets, 2021, 32(3):331-339. |
| [8] | Saini V, Guada L, Yavagal DR. Global epidemiology of stroke and access to acute ischemic stroke interventions[J]. Neurology, 2021, 97(20Suppl 2):S6-S16. |
| [9] | Kolmos M, Christoffersen L, Kruuse C. Recurrent ischemic stroke—a systematic review and meta-analysis[J]. J Stroke Cerebrovasc Dis, 2021, 30(8):105935. |
| [10] | Oza R, Rundell K, Garcellano M. Recurrent ischemic stroke: strategies for prevention[J]. Am Fam Physician, 2017, 96(7):436-440. |
| [11] | Kwah LK, Diong J. National institutes of health stroke scale (NIHSS)[J]. J Physiother, 2014, 60(1):61. |
| [12] | Yi K, Nakajima M, Ikeda T, et al. Modified Rankin scale assessment by telephone using a simple questionnaire[J]. J Stroke Cerebrovasc Dis, 2022, 31(10):106695. |
| [13] | Vasquez KA, Valverde EM, Aguilar DV, et al. Montreal cognitive assessment scale in patients with Parkinson disease with normal scores in the Mini-Mental State Examination[J]. Dement Neuropsychol, 2019, 13(1):78-81. |
| [14] | Davis SM, Donnan GA. Clinical practice: secondary prevention after ischemic stroke or transient ischemic attack[J]. N Engl J Med, 2012, 366(20):1914-1922. |
| [15] | Zhuo Y, Wu J, Qu Y, et al. Clinical risk factors associated with recurrence of ischemic stroke within two years: a cohort study[J]. Medicine (Baltimore), 2020, 99(26):e20830. |
| [16] | 张淑君, 李礼, 王舒. Essen卒中风险评分(ESRS)预测性能的系统综述[J]. 中风与神经疾病杂志, 2022, 39(7):624-630. |
| Zhang SJ, Li L, Wang S. Predictive performance of Essen stroke risk score: a systematic review[J]. J Apoplexy and Nervous Diseases, 2022, 39(7):624-630. | |
| [17] | Hankey GJ, Wee CK. Predicting early recurrent stroke with the recurrence risk estimator[J]. JAMA Neurol, 2016, 73(4):376-378. |
| [18] | Stahmeyer JT, Stubenrauch S, Geyer S, et al. The frequency and timing of recurrent stroke: an analysis of routine health insurance data[J]. Dtsch Arztebl Int, 2019, 116(42):711-717. |
| [19] | Garcia-Avila J, Torres SD, Rodriguez CA, et al. Predictive modeling of soft stretchable nanocomposites using recurrent neural networks[J]. Polymers (Basel), 2022, 14(23):5290. |
/
| 〈 |
|
〉 |