Degree of COVID-19 severity and mortality in stroke: correlation of clinical and laboratory parameters.

IF 2.4 4区 医学 Q3 NEUROSCIENCES
Abdul Gofir, Irawan Satriotomo, Yossy Catarina Budi Nur Syamsah, Mawaddah Ar Rochmah, Tommy Rachmat Setyawan, Adika Mianoki, Raymond Aris Nimrod Alvonsius Silalahi, Dhite Bayu Nugroho
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引用次数: 0

Abstract

Background: Stroke is one of the neurological manifestations of COVID-19, leading to a significant risk of morbidity and mortality. Clinical manifestations and laboratory parameters were investigated to determine mortality predictors in this case.

Method: The case control study was conducted at Dr. Sardjito General Hospital,Yogyakarta, Indonesia, with data collected between July 2020 and August 2021. All recorded clinical and laboratory data from acute stroke patients with confirmed COVID-19 were collected. Baseline characteristics, bivariate, and multivariate analyses were assessed to determine significant predictors for mortality.

Result: This study involved 72 subjects with COVID-19 and stroke. The majority experienced ischemic stroke, with hypertension as the most prevalent comorbidity. Notably, 45.8% of subjects (p < 0.05) loss of consciousness and 72.2% of exhibited motor deficits (p < 0.05). Severe degree of COVID-19 was observed in 52.8% of patients, with respiratory distress and death rates of 56.9% and 58.3%. Comparison of surviving and deceased groups highlighted significant differences in various clinical and laboratory characteristics differences. Hazard ratio (HR) analysis identified loss of consciousness (HR = 2.68; p = 0.01), motor deficit (HR = 2.34; p = 0.03), respiratory distress (HR = 81.51; p < 0.001), and monocyte count (HR:1.002; p = 0.04) as significant predictors of mortality.

Conclusion: Mortality in COVID-19 patients with stroke was significantly associated with loss of consciousness, motor deficit, respiratory distress, and raised monocyte count. The risk of mortality is heightened when multiple factors coexist.

COVID-19 严重程度与脑卒中死亡率:临床和实验室参数的相关性。
背景:脑卒中是COVID-19的神经系统表现之一,有很大的发病和死亡风险。研究人员对该病例的临床表现和实验室参数进行了调查,以确定预测死亡率的因素:病例对照研究在印度尼西亚日惹的萨吉托博士综合医院进行,数据收集时间为2020年7月至2021年8月。收集了确诊为COVID-19的急性中风患者的所有临床和实验室数据记录。对基线特征、双变量和多变量分析进行评估,以确定死亡率的重要预测因素:结果:这项研究涉及 72 名患有 COVID-19 和中风的受试者。结果:该研究涉及 72 名患有 COVID-19 和中风的受试者,其中大多数人经历了缺血性中风,高血压是最常见的并发症。值得注意的是,45.8% 的受试者(P 结论:COVID-19 患者的死亡率与合并症有关:COVID-19 中风患者的死亡率与意识丧失、运动障碍、呼吸窘迫和单核细胞计数升高有明显关系。当多种因素同时存在时,死亡风险会增加。
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来源期刊
BMC Neuroscience
BMC Neuroscience 医学-神经科学
CiteScore
3.90
自引率
0.00%
发文量
64
审稿时长
16 months
期刊介绍: BMC Neuroscience is an open access, peer-reviewed journal that considers articles on all aspects of neuroscience, welcoming studies that provide insight into the molecular, cellular, developmental, genetic and genomic, systems, network, cognitive and behavioral aspects of nervous system function in both health and disease. Both experimental and theoretical studies are within scope, as are studies that describe methodological approaches to monitoring or manipulating nervous system function.
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