COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France.
Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France.
PLoS Negl Trop Dis. 2021 Apr 26;15(4):e0008879. doi: 10.1371/journal.pntd.0008879. eCollection 2021 Apr.
As coronavirus 2019 (COVID-19) is spreading globally, several countries are handling dengue epidemics. As both infections are deemed to share similarities at presentation, it would be useful to distinguish COVID-19 from dengue in the context of co-epidemics. Hence, we performed a retrospective cohort study to identify predictors of both infections.
METHODOLOGY/PRINCIPAL FINDINGS: All the subjects suspected of COVID-19 between March 23 and May 10, 2020, were screened for COVID-19 within the testing center of the University hospital of Saint-Pierre, Reunion island. The screening consisted in a questionnaire surveyed in face-to-face, a nasopharyngeal swab specimen for the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) reverse transcription polymerase chain-reaction and a rapid diagnostic orientation test for dengue. Factors independently associated with COVID-19 or with dengue were sought using multinomial logistic regression models, taking other febrile illnesses (OFIs) as controls. Adjusted Odds ratios (OR) and 95% Confidence Intervals (95%CI) were assessed. Over a two-month study period, we diagnosed 80 COVID-19, 61 non-severe dengue and 872 OFIs cases eligible to multivariate analysis. Among these, we identified delayed presentation (>3 days) since symptom onset (Odds ratio 1.91, 95% confidence interval 1.07-3.39), contact with a COVID-19 positive case (OR 3.81, 95%CI 2.21-6.55) and anosmia (OR 7.80, 95%CI 4.20-14.49) as independent predictors of COVID-19, body ache (OR 6.17, 95%CI 2.69-14.14), headache (OR 5.03, 95%CI 1.88-13.44) and retro-orbital pain (OR 5.55, 95%CI 2.51-12.28) as independent predictors of dengue, while smoking was less likely observed with COVID-19 (OR 0.27, 95%CI 0.09-0.79) and upper respiratory tract infection symptoms were associated with OFIs.
CONCLUSIONS/SIGNIFICANCE: Although prone to potential biases, these data suggest that non-severe dengue may be more symptomatic than COVID-19 in a co-epidemic setting with higher dengue attack rates. At clinical presentation, nine basic clinical and epidemiological indicators may help to distinguish COVID-19 or dengue from each other and other febrile illnesses.
随着 2019 年冠状病毒(COVID-19)在全球范围内传播,有几个国家正在应对登革热疫情。由于这两种感染在表现上被认为有相似之处,因此在同时发生的疫情中区分 COVID-19 和登革热将很有用。因此,我们进行了一项回顾性队列研究,以确定这两种感染的预测因素。
方法/主要发现:2020 年 3 月 23 日至 5 月 10 日期间,所有疑似 COVID-19 的患者均在留尼汪圣皮埃尔大学医院的检测中心接受 COVID-19 筛查。筛查包括面对面的问卷调查、对严重急性呼吸综合征冠状病毒-2(SARS-CoV-2)进行逆转录聚合酶链反应的鼻咽拭子标本和登革热的快速诊断定向试验。使用多项逻辑回归模型寻找与 COVID-19 或登革热相关的独立因素,以其他发热性疾病(OFIs)作为对照。评估调整后的优势比(OR)和 95%置信区间(95%CI)。在为期两个月的研究期间,我们诊断出 80 例 COVID-19、61 例非重症登革热和 872 例 OFIs 病例,符合多变量分析的条件。在这些病例中,我们发现自症状出现以来的延迟就诊(超过 3 天)(优势比 1.91,95%置信区间 1.07-3.39)、与 COVID-19 阳性病例接触(OR 3.81,95%CI 2.21-6.55)和嗅觉丧失(OR 7.80,95%CI 4.20-14.49)是 COVID-19 的独立预测因素,肌肉疼痛(OR 6.17,95%CI 2.69-14.14)、头痛(OR 5.03,95%CI 1.88-13.44)和眼眶后疼痛(OR 5.55,95%CI 2.51-12.28)是登革热的独立预测因素,而吸烟与 COVID-19 的相关性较低(OR 0.27,95%CI 0.09-0.79),上呼吸道感染症状与 OFIs 相关。
结论/意义:尽管存在潜在的偏倚,但这些数据表明,在登革热发病率较高的同时流行环境中,非重症登革热的症状可能比 COVID-19 更明显。在临床表现方面,九个基本的临床和流行病学指标可以帮助区分 COVID-19 或登革热以及其他发热性疾病。