Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review

I. M. Kariasa, Elly Nurachmah, S. Setyowati, R. Koestoer
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Abstract

Background Improving awareness in patients with stroke to detect risk factors of recurrent stroke has recently become a major challenge for all health professionals in preventing recurrence among stroke survivors. Utilization of advanced technology, such as digital sensors, (a non-invasive device) is among the breakthroughs in detecting the risk of disease and promotes more effective prevention and improves quality of care. This study aims to conduct a systematic review on studies addressing early detection of the risk factors of recurrent stroke through the utilization of digital sensors. Methods A literature search was carried out on articles published between 2011 - 2018 on EBSCO, Elsevier, Science Direct, ProQuest, Springer link, PubMed, MEDLINE, PLoS, and the Journal of Community Nursing. The search identified quantitative research studies on the utilization of digital sensors in cases of hypertension, diabetes mellitus, hypercholesterolemia, and cardiac disorders that contributed to stroke recurrence. Each study’s bias was assessed using Review Manager 5. Results Ten articles were analyzed through data extraction. Robust assessment of independent risk factors which provoke recurrent stroke such as hypertension, diabetes mellitus, hypercholesterolemia, and heart diseases could lead to conservation of health resources. It is very important to monitor these factors. With the development of technology, the potential use of non-invasive monitoring for hypertension, diabetes mellitus, hypercholesterolemia, and heart diseases as risk factors for recurrent stroke events is considered effective because it is easy, simple, low cost, sensitive, and does not cause additional suffering for patients. Conclusion A practical and non-invasive method for early detection and monitoring of risk factors may reduce the risk of stroke recurrence among stroke survivors.
用于早期检测复发性中风危险因素的数字传感器(非侵入性):系统综述
背景 提高脑卒中患者对检测脑卒中复发风险因素的认识,已成为所有医务人员预防脑卒中幸存者复发的主要挑战。利用数字传感器(一种非侵入性设备)等先进技术是检测疾病风险的突破之一,可促进更有效的预防并提高护理质量。本研究旨在对利用数字传感器早期检测复发性中风风险因素的研究进行系统综述。方法 对 EBSCO、Elsevier、Science Direct、ProQuest、Springer link、PubMed、MEDLINE、PLoS 和《社区护理杂志》上 2011 - 2018 年间发表的文章进行文献检索。该检索确定了有关在高血压、糖尿病、高胆固醇血症和心脏病导致中风复发的病例中使用数字传感器的定量研究。使用 Review Manager 5 对每项研究的偏倚性进行了评估。结果 通过数据提取分析了 10 篇文章。对高血压、糖尿病、高胆固醇血症和心脏病等导致脑卒中复发的独立危险因素进行全面评估可节约医疗资源。对这些因素进行监测非常重要。随着技术的发展,无创监测高血压、糖尿病、高胆固醇血症和心脏病作为脑卒中复发的危险因素被认为是有效的,因为它简便易行、成本低、灵敏度高,而且不会给患者带来额外的痛苦。结论 早期检测和监测风险因素的实用无创方法可降低中风幸存者中风复发的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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