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基于印度高通量检测机构的 SARS-CoV-2 阳性患者的流行病学特征及相关危险因素分析。

Epidemiological profiles and associated risk factors of SARS-CoV-2 positive patients based on a high-throughput testing facility in India.

机构信息

Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi 110029, India.

Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi 110029, India.

出版信息

Open Biol. 2021 Jun;11(6):200288. doi: 10.1098/rsob.200288. Epub 2021 Jun 2.

Abstract

We describe the epidemiological characteristics and associated risk factors of those presenting at a large testing centre for SARS-CoV-2 infection. This is a retrospective record review of individuals who underwent SARS-CoV-2 testing by reverse transcription-polymerase chain reaction (RT-PCR) at a high-throughput national-level government facility located in the north of India. Samples collected from 6 April to 31 December 2020 are included in this work and represent four highly populous regions. Additionally, there was a prospective follow-up of 1729 cases through telephone interviews from 25 May 2020 to 20 June 2020. Descriptive analysis has been performed for profiling clinic-epidemiological aspects of suspect cases. Multivariable logistic regression analysis was undertaken to determine risk factors that are associated with SARS-CoV-2 test positivity and symptom status. A total of 125 600 participants' details have been included in this report. The mean (s.d.) age of the participants was 33.1 (±15.3) years and 66% were male. Among these tested, 9515 (7.6%) were positive for COVID-19. A large proportion of positive cases were asymptomatic. In symptomatic positive cases, the commonest symptoms were cough and fever. Increasing age (groups 20-59 and ≥60 years compared to age group less than 5 years), male sex, history of international travel, symptoms for SARS-CoV-2, and participants from Delhi and Madhya Pradesh were positively associated with SARS-CoV-2 test positivity. Having co-morbidity, risk behaviours and intra-familial positivity were associated with a positive odds ratio for exhibiting SARS-CoV-2 symptoms. Intensified testing and isolation of cases, identification of both asymptomatic and symptomatic individuals and additional care of those with co-morbidities and risk behaviours will all be collectively important for disease containment in India. Reasons for differentials in testing between men and women remain an important area for in-depth study. The increased deployment of vaccines is likely to impact the trajectory of COVID-19 in the coming time, and therefore our data will serve as a comparative resource as India experiences the second wave of infection in light of newer variants that are likely to accelerate disease spread.

摘要

我们描述了在印度北部一个大型 SARS-CoV-2 感染检测中心就诊的患者的流行病学特征和相关危险因素。这是一项对在印度北部一个高通量国家级政府设施通过逆转录-聚合酶链反应(RT-PCR)进行 SARS-CoV-2 检测的个体进行的回顾性记录审查。本研究纳入了 2020 年 4 月 6 日至 12 月 31 日期间采集的样本,这些样本代表了印度四个人口最多的地区。此外,还对 2020 年 5 月 25 日至 6 月 20 日期间通过电话访谈对 1729 例病例进行了前瞻性随访。对疑似病例的临床流行病学方面进行了描述性分析。进行了多变量逻辑回归分析,以确定与 SARS-CoV-2 检测阳性和症状状态相关的危险因素。本报告共纳入了 125600 名参与者的详细信息。参与者的平均(标准差)年龄为 33.1(±15.3)岁,66%为男性。在这些检测中,有 9515 人(7.6%)COVID-19 检测呈阳性。阳性病例中有很大一部分为无症状。在有症状的阳性病例中,最常见的症状是咳嗽和发热。年龄较大(20-59 岁和≥60 岁组与年龄小于 5 岁组相比)、男性、有国际旅行史、有 SARS-CoV-2 症状、来自德里和中央邦的参与者与 SARS-CoV-2 检测阳性呈正相关。合并症、风险行为以及家庭内阳性与 SARS-CoV-2 症状呈阳性的比值比相关。加强对病例的检测和隔离、识别无症状和有症状个体以及对合并症和风险行为患者进行额外护理,都将对印度控制疾病具有重要意义。男女之间检测差异的原因仍然是一个需要深入研究的重要领域。随着新的可能加速疾病传播的变异株的出现,疫苗的大量使用可能会影响 COVID-19 的未来发展轨迹,因此,随着印度出现第二波感染,我们的数据将作为一个比较资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c51/8169211/09bee9504504/rsob200288f01.jpg

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