KI Research Institute, Kfar Malal, Israel.
Maccabi Institute for Research and Innovation, Tel Aviv, Israel.
JMIR Public Health Surveill. 2020 Aug 25;6(3):e20872. doi: 10.2196/20872.
Reliably identifying patients at increased risk for coronavirus disease (COVID-19) complications could guide clinical decisions, public health policies, and preparedness efforts. Multiple studies have attempted to characterize at-risk patients, using various data sources and methodologies. Most of these studies, however, explored condition-specific patient cohorts (eg, hospitalized patients) or had limited access to patients' medical history, thus, investigating related questions and, potentially, obtaining biased results.
This study aimed to identify factors associated with COVID-19 complications from the complete medical records of a nationally representative cohort of patients, with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.
We studied a cohort of all SARS-CoV-2-positive individuals, confirmed by polymerase chain reaction testing of either nasopharyngeal or saliva samples, in a nationwide health organization (covering 2.3 million individuals) and identified those who suffered from serious complications (ie, experienced moderate or severe symptoms of COVID-19, admitted to the intensive care unit, or died). We then compared the prevalence of pre-existing conditions, extracted from electronic health records, between complicated and noncomplicated COVID-19 patient cohorts to identify the conditions that significantly increase the risk of disease complications, in various age and sex strata.
Of the 4353 SARS-CoV-2-positive individuals, 173 (4%) patients suffered from COVID-19 complications (all age ≥18 years). Our analysis suggests that cardiovascular and kidney diseases, obesity, and hypertension are significant risk factors for COVID-19 complications. It also indicates that depression (eg, males ≥65 years: odds ratio [OR] 2.94, 95% CI 1.55-5.58; P=.01) as well as cognitive and neurological disorders (eg, individuals ≥65 years old: OR 2.65, 95% CI 1.69-4.17; P<.001) are significant risk factors. Smoking and presence of respiratory diseases do not significantly increase the risk of complications.
Our analysis agrees with previous studies on multiple risk factors, including hypertension and obesity. It also finds depression as well as cognitive and neurological disorders, but not smoking and respiratory diseases, to be significantly associated with COVID-19 complications. Adjusting existing risk definitions following these observations may improve their accuracy and impact the global pandemic containment and recovery efforts.
可靠地识别出患有冠状病毒病(COVID-19)并发症风险较高的患者,有助于指导临床决策、公共卫生政策和准备工作。多项研究试图使用各种数据源和方法来描述高危患者。然而,这些研究大多都只针对特定疾病的患者队列(例如住院患者),或者只能有限地获取患者的病史,因此可能会导致研究结果出现偏差。
本研究旨在从全国性的患者队列(覆盖 230 万人)的完整病历中识别出与 SARS-CoV-2 感染相关的 COVID-19 并发症的相关因素。
我们研究了一个全国性卫生组织(覆盖 230 万人)中所有经聚合酶链反应检测(鼻咽拭子或唾液样本)确诊为 SARS-CoV-2 阳性的个体,确定了那些患有严重并发症(即出现中度或重度 COVID-19 症状、入住重症监护病房或死亡)的患者。然后,我们比较了复杂和非复杂 COVID-19 患者队列中从电子健康记录中提取的既往疾病的患病率,以确定在不同年龄和性别层次下显著增加疾病并发症风险的疾病。
在 4353 例 SARS-CoV-2 阳性个体中,有 173 名(4%)患者患有 COVID-19 并发症(所有年龄≥18 岁)。我们的分析表明,心血管疾病和肾脏疾病、肥胖和高血压是 COVID-19 并发症的显著危险因素。同时也表明,抑郁(例如,男性≥65 岁:比值比[OR] 2.94,95%置信区间[CI] 1.55-5.58;P=.01)以及认知和神经障碍(例如,≥65 岁的个体:OR 2.65,95% CI 1.69-4.17;P<.001)也是显著的危险因素。吸烟和呼吸系统疾病的存在并不会显著增加并发症的风险。
我们的分析与之前关于包括高血压和肥胖在内的多种危险因素的研究一致。同时发现抑郁以及认知和神经障碍与 COVID-19 并发症显著相关,但吸烟和呼吸系统疾病与 COVID-19 并发症不相关。根据这些观察结果调整现有的风险定义,可能会提高其准确性,并影响全球大流行的控制和恢复工作。