Exploring heterogeneity of stroke-patients with latent class analysis based on patient reported outcomes_Chinese Journal of Evidence-Based Medicine

Authors：

YANG Jie ^1,2 , ZHANG Yao ¹ , YAN Juanjuan ¹ , PEI Zhongyang ¹ , HU Anxia ¹ ,  ZHANG Yanbo ^1,3

1. School of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan 030619, P. R. China;
2. National International Joint Research Center for Molecular Chinese Medicine, Shanxi Key Laboratory of Chinese Medicine Encephalopathy, Shanxi University of Chinese Medicine, Taiyuan 030619, P. R. China;
3. Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Shanxi Medical University, Taiyuan 03001, P. R. China;

Corresponding?author：

ZHANG Yanbo, Email: sxmuzyb@126.com

Keywords：

Stroke; Patient reported outcome; Latent class analysis; Heterogeneity; Precision medicine

DOI：

10.7507/1672-2531.202210150

Video：

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Objective To categorize and describe stroke-patients based on factors related to patient reported outcomes. Methods A questionnaire survey was conducted among stroke-patients in nine hospitals and communities in Shanxi Province. The general information questionnaire and stroke-patient reported outcome manual (Stroke-PROM) were completed. Latent profile analysis was used to analyze the scores of Stroke-PROM, and the explicit variables of the model were the final scores of each dimension. ANOVA and correlation analysis were used to measure the correlation between the factors and subtypes. Results Four unique stroke-patient profiles emerged, including a low physiological and low social group (9%), a high physiological and middle social group (40%), a middle physiological and middle social group (26%), and a middle physiological and high social group (25%). There were significant differences in scores of four areas among patients with different subtypes (P<0.05). Moreover, there was a correlation between age, payment, exercise and subtypes (P<0.05). Conclusion There are obvious grouping characteristics for stroke patients. It is necessary to focus on stroke patients who are advanced in age, have a self-funded status and lack exercise, and provide targeted nursing measures to improve their quality of life.

Citation： YANG Jie, ZHANG Yao, YAN Juanjuan, PEI Zhongyang, HU Anxia, ZHANG Yanbo. Exploring heterogeneity of stroke-patients with latent class analysis based on patient reported outcomes. Chinese Journal of Evidence-Based Medicine, 2023, 23(4): 379-385. doi: 10.7507/1672-2531.202210150 Copy

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2.	《中國腦卒中防治報告》編寫組. 《中國腦卒中防治報告2020》概要. 中國腦血管病雜志, 2022, 19(2): 136-144.
3.	張江, 常莉莎, 彭延波, 等. 急性腦梗死CISS分型評估1個月內預后的價值. 中國實用神經疾病雜志, 2017, 20(19): 48-51.
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5.	Kluetz PG, O'Connor DJ, Soltys K. Incorporating the patient experience into regulatory decision making in the USA, Europe, and Canada. Lancet Oncol, 2018, 19(5): e267-e274.
6.	Fenton BW, Grey SF, Tossone K, et al. Classifying patients with chronic pelvic pain into levels of biopsychosocial dysfunction using latent class modeling of patient reported outcome measures. Pain Res Treat, 2015, 2015: 940675.
7.	Pinheiro LC, Tan X, Olshan AF, et al. Examining health-related quality of life patterns in women with breast cancer. Qual Life Res, 2017, 26(7): 1733-1743.
8.	Alonso-Recio L, Martín-Plasencia P, Ruiz M, et al. Differences in cognitive performance in nondemented Parkinson's disease: a latent profile analysis of cognitive subtypes. J Clin Exp Neuropsychol, 2018, 40(8): 777-789.
9.	Saracino RM, Cham H, Rosenfeld B, et al. Latent profile analyses of depressive symptoms in younger and older oncology patients. Assessment, 2020, 27(7): 1383-1398.
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13.	Zhang F, Zhu T, Li H, et al. Plasma interleukin-37 is elevated in acute ischemic stroke patients and probably associated with 3-month functional prognosis. Clin Interv Aging, 2020, 15: 1285-1294.
14.	Ungvari Z, Tarantini S, Sorond F, et al. Mechanisms of vascular aging, a geroscience perspective: JACC focus seminar. J Am Coll Cardiol, 2020, 75(8): 931-941.
15.	谷強, 余孝君, 張津. 高齡與中低齡老年輕型缺血性腦卒中臨床特點及預后分析. 首都醫科大學學報, 2022, 43(3): 474-479.
16.	Wang Y, Zhao X, Jiang Y, et al. Prevalence, knowledge, and treatment of transient ischemic attacks in China. Neurology, 2015, 84(23): 2354-2361.
17.	曹英南, 關天嘉, 李晉磊, 等. 腦卒中患者住院費用及預后影響因素研究. 中國衛生政策研究, 2016, 9(5): 54-60.
18.	崔牛牛, 張蕾. 農村高返貧風險腦卒中患者就診行為與自評治療效果關聯分析. 中華疾病控制雜志, 2022, 26(4): 437-441, 496.
19.	趙凱麗, 韋桂源, 農峰, 等. 慢性心力衰竭患者自我感受負擔影響因素及干預措施的研究進展. 護理實踐與研究, 2021, 18(20): 3033-3037.
20.	鄭瑞芳. 首次發病腦卒中患者自我管理現狀及影響因素. 中國衛生工程學, 2019, 18(1): 44-46.
21.	李萍, 孔海霞, 李洪娟. 有氧運動對腦卒中后慢性偏癱患者下肢運動功能、血趨化素及代謝危險因素的影響. 中國動脈硬化雜志, 2017, 25(4): 393-397.
22.	Nathoo C, Buren S, El-Haddad R, et al. Aerobic training in Canadian stroke rehabilitation programs. J Neurol Phys Ther, 2018, 42(4): 248-255.
23.	Gezer H, Karaahmet OZ, Gurcay E, et al. The effect of aerobic exercise on stroke rehabilitation. Ir J Med Sci, 2019, 188(2): 469-473.
24.	Linder SM, Rosenfeldt AB, Davidson S, et al. Forced, not voluntary, aerobic exercise enhances motor recovery in persons with chronic stroke. Neurorehabil Neural Repair, 2019, 33(8): 681-690.
25.	Astuti P, Kusnanto K, Dwi Novitasari F. Depression and functional disability in stroke patients. J Public Health Res, 2020, 9(2): 1835.
26.	Hepburn M, Bollu PC, French B, et a1. Sleep medicine: stroke and sleep. Mis Med, 2018, 115(6): 527-532.
27.	Aguiar LT, Nadeau S, Britto RR, et al. Effects of aerobic training on physical activity in people with stroke: a randomized controlled trial. NeuroRehabilitation, 2020, 46(3): 391-401.

1. GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the global burden of disease study 2019. Lancet Neurol, 2021, 20(10): 795-820.
2. 《中國腦卒中防治報告》編寫組. 《中國腦卒中防治報告2020》概要. 中國腦血管病雜志, 2022, 19(2): 136-144.
3. 張江, 常莉莎, 彭延波, 等. 急性腦梗死CISS分型評估1個月內預后的價值. 中國實用神經疾病雜志, 2017, 20(19): 48-51.
4. 陳澤, 陳玨璇, 段玉婷, 等. 隨機對照試驗中的患者報告結局: CONSORTPRO擴展版. 中國循證醫學雜志, 2021, 21(3): 347-354.
5. Kluetz PG, O'Connor DJ, Soltys K. Incorporating the patient experience into regulatory decision making in the USA, Europe, and Canada. Lancet Oncol, 2018, 19(5): e267-e274.
6. Fenton BW, Grey SF, Tossone K, et al. Classifying patients with chronic pelvic pain into levels of biopsychosocial dysfunction using latent class modeling of patient reported outcome measures. Pain Res Treat, 2015, 2015: 940675.
7. Pinheiro LC, Tan X, Olshan AF, et al. Examining health-related quality of life patterns in women with breast cancer. Qual Life Res, 2017, 26(7): 1733-1743.
8. Alonso-Recio L, Martín-Plasencia P, Ruiz M, et al. Differences in cognitive performance in nondemented Parkinson's disease: a latent profile analysis of cognitive subtypes. J Clin Exp Neuropsychol, 2018, 40(8): 777-789.
9. Saracino RM, Cham H, Rosenfeld B, et al. Latent profile analyses of depressive symptoms in younger and older oncology patients. Assessment, 2020, 27(7): 1383-1398.
10. Park J, Moser DK, Griffith K, et al. Exploring symptom clusters in people with heart failure. Clin Nurs Res, 2019, 28(2): 165-181.
11. Luo Y, Yang J, Zhang Y. Development and validation of a patient-reported outcome measure for stroke patients. Health Qual Life Outcomes, 2015, 13: 53.
12. Nelson EC, Eftimovska E, Lind C, et al. Patient reported outcome measures in practice. BMJ, 2015, 350: g7818.
13. Zhang F, Zhu T, Li H, et al. Plasma interleukin-37 is elevated in acute ischemic stroke patients and probably associated with 3-month functional prognosis. Clin Interv Aging, 2020, 15: 1285-1294.
14. Ungvari Z, Tarantini S, Sorond F, et al. Mechanisms of vascular aging, a geroscience perspective: JACC focus seminar. J Am Coll Cardiol, 2020, 75(8): 931-941.
15. 谷強, 余孝君, 張津. 高齡與中低齡老年輕型缺血性腦卒中臨床特點及預后分析. 首都醫科大學學報, 2022, 43(3): 474-479.
16. Wang Y, Zhao X, Jiang Y, et al. Prevalence, knowledge, and treatment of transient ischemic attacks in China. Neurology, 2015, 84(23): 2354-2361.
17. 曹英南, 關天嘉, 李晉磊, 等. 腦卒中患者住院費用及預后影響因素研究. 中國衛生政策研究, 2016, 9(5): 54-60.
18. 崔牛牛, 張蕾. 農村高返貧風險腦卒中患者就診行為與自評治療效果關聯分析. 中華疾病控制雜志, 2022, 26(4): 437-441, 496.
19. 趙凱麗, 韋桂源, 農峰, 等. 慢性心力衰竭患者自我感受負擔影響因素及干預措施的研究進展. 護理實踐與研究, 2021, 18(20): 3033-3037.
20. 鄭瑞芳. 首次發病腦卒中患者自我管理現狀及影響因素. 中國衛生工程學, 2019, 18(1): 44-46.
21. 李萍, 孔海霞, 李洪娟. 有氧運動對腦卒中后慢性偏癱患者下肢運動功能、血趨化素及代謝危險因素的影響. 中國動脈硬化雜志, 2017, 25(4): 393-397.
22. Nathoo C, Buren S, El-Haddad R, et al. Aerobic training in Canadian stroke rehabilitation programs. J Neurol Phys Ther, 2018, 42(4): 248-255.
23. Gezer H, Karaahmet OZ, Gurcay E, et al. The effect of aerobic exercise on stroke rehabilitation. Ir J Med Sci, 2019, 188(2): 469-473.
24. Linder SM, Rosenfeldt AB, Davidson S, et al. Forced, not voluntary, aerobic exercise enhances motor recovery in persons with chronic stroke. Neurorehabil Neural Repair, 2019, 33(8): 681-690.
25. Astuti P, Kusnanto K, Dwi Novitasari F. Depression and functional disability in stroke patients. J Public Health Res, 2020, 9(2): 1835.
26. Hepburn M, Bollu PC, French B, et a1. Sleep medicine: stroke and sleep. Mis Med, 2018, 115(6): 527-532.
27. Aguiar LT, Nadeau S, Britto RR, et al. Effects of aerobic training on physical activity in people with stroke: a randomized controlled trial. NeuroRehabilitation, 2020, 46(3): 391-401.

Chinese Journal of Evidence-Based Medicine

Exploring heterogeneity of stroke-patients with latent class analysis based on patient reported outcomes

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