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Clinical and epidemiological features discriminating confirmed COVID-19 patients from SARS-CoV-2 negative patients at screening centres in Madagascar

机译:临床和流行病学特征在马达加斯加筛查中心鉴定SARS-COV-2负患者的确认的Covid-19患者

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Early and fast detection of COVID-19 patients help limit the transmission and wide spread of the virus in the community and will have impact on mortality by reducing the incidence of infection among vulnerable people. Therefore, community-based screening is critical. We aimed to identify clinical signs and symptoms and epidemiological features that could help discriminate confirmed cases of COVID-19 from SARS-CoV-2 negative patients. We found that age (aOR:1.02, 95%CI:1.02–1.03, p 0.001), symptoms onset between 3 and 14 days (aOR:1.35, 95%CI:1.09)1.68, p = 0.006), fever or history of fever (aOR:1.75, 95%CI:1.42–2.14, p 0.001), cough (aOR:1.68, 95%CI:1.31–2.04), sore throat (aOR:0.65, 95%CI:0.49–0.85, p = 0.002), ageusia (aOR:2.24, 95%CI:1.42–3.54, p = 0.001), anosmia (aOR:6.04, 95%CI:4.19–8.69, p 0.001), chest pain (aOR:0.63, 95%CI:0.47–0.85, p = 0.003), myalgia and/or arthralgia (aOR:1.64, 95%CI:1.31–2.04, p 0.001), household cluster (aOR:1.49, 95%CI:1.17–1.91, p = 0.001) and evidence of confirmed cases in the neighbourhood (aOR:1.92, 95%CI:1.56–2.37, p 0.001) could help discriminate COVID-19 patients from SARS-CoV-2 negative. A screening score derived from multivariate logistic regression was developed to assess the probability of COVID-19 in patients. We suggest that a patient with a score ≥14 should undergo SARS-CoV-2 PCR testing. A patient with a score ≥30 should be considered at high risk of COVID-19 and should undergo testing but also needs prompt isolation and contact tracing.
机译:早期和快速检测Covid-19患者有助于限制社区中病毒的传播和广泛蔓延,并通过降低弱势人群中感染的发生率来影响死亡率。因此,基于社区的筛选至关重要。我们旨在鉴定临床症状和症状和流行病学特征,可以帮助区分SARS-COV-2负患者的Covid-19病例。我们发现该年龄(AOR:1.02,95%CI:1.02-1.03,P <0.001),症状发作在3到14天之间(AOR:1.35,95%CI:1.09)1.68,P = 0.006),发热或历史发烧(AOR:1.75,95%CI:1.42-2.14,P <0.001),咳嗽(AOR:1.68,95%CI:1.31-2.04),喉咙痛(AOR:0.65,95%CI:0.49-0.85, P = 0.002),Aceusia(AOR:2.24,95%CI:1.42-3.54,P = 0.001),Anosmia(AOR:6.04,95%CI:419-8.69,P <0.001),胸痛(AOR:0.63, 95%CI:0.47-0.85,P = 0.003),肌痛和/或关节痛(AOR:1.64,95%CI:1.31-2.04,P <0.001),家庭集群(AOR:1.49,95%CI:1.17-1.91 ,p = 0.001)和邻里确诊病例的证据(AOR:1.92,95%CI:1.56-2.37,P <0.001)可以帮助区分SARS-COV-2阴性的Covid-19患者。开发了一种源自多变量逻辑回归的筛选得分,以评估患者Covid-19的可能性。我们建议≥14分的患者应经过SARS-COV-2 PCR测试。 Covid-19的高风险应考虑一个分数≥30的患者,并且应该进行测试,但也需要迅速隔离和接触跟踪。

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