Natural History of Asymptomatic SARS-CoV-2 Infection.
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ABSTRACT:
SUBMITTER: Sakurai A
PROVIDER: S-EPMC7304419 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Publications
Natural History of Asymptomatic SARS-CoV-2 Infection.
Sakurai Aki A Sasaki Toshiharu T Kato Shigeo S Hayashi Masamichi M Tsuzuki Sei-Ichiro SI Ishihara Takuma T Iwata Mitsunaga M Morise Zenichi Z Doi Yohei Y
The New England journal of medicine 20200612 9
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Project description:This study tested the hypothesis that high frequencies of natural killer (NK) cells are protective against symptomatic SARS-CoV-2 infection. Samples were utilized from the COVID-19 Health Action Response for Marines study, a prospective, observational study of SARS-CoV-2 infection in which participants were enrolled prior to infection and then serially monitored for development of symptomatic or asymptomatic infection. Frequencies and phenotypes of NK cells (CD3-CD14-CD19-CD56+) were assessed by flow cytometry. Individuals that developed asymptomatic infections were found to have higher pre-infection frequencies of total NK cells compared to symptomatic individuals (10.61% [SD 4.5] vs 8.33% [SD 4.6], p = 0.011). Circulating total NK cells decreased over the course of infection, reaching a nadir at 4 weeks, while immature NK cells increased, a finding confirmed by multidimensional reduction analysis. These results indicate that NK cells likely play a key role in controlling the severity of clinical illness in individuals infected with SARS-CoV-2.
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Project description:ImportanceReal-world evidence of SARS-CoV-2 transmission is needed to understand the prevalence of infection in the Japanese population.ObjectiveTo conduct sentinel screening of the Japanese population to determine the prevalence of SARS-CoV-2 infection in asymptomatic individuals, with complementary analysis for symptomatic patients as reported by active epidemiologic surveillance used by the government.Design, setting, and participantsThis cross-sectional study of a sentinel screening program investigated approximately 1 million asymptomatic individuals with polymerase chain reaction (PCR) testing for SARS-CoV-2 infection between February 22 and December 8, 2021. Participants included children, students, employed adults, and older individuals, as well as volunteers to broadly reflect the general Japanese population in the 14 prefectures of Japan that declared a state of emergency. Saliva samples and a cycle threshold (Ct) value of approximately 40 as standard in Japan were used. Polymerase chain reaction testing for symptomatic patients was separately done by public health authorities, and the results were obtained from the Ministry of Health, Labour, and Welfare of Japan to complement data on asymptomatic infections from the present study.Main outcomes and measuresTemporal trends in positivity and prevalence (including surges of different variants) and demographic associations (eg, age, geographic location, and vaccination status) were assessed.ResultsThe positive rate of SARS-CoV-2 infection in 1 082 976 asymptomatic individuals (52.08% males; mean [SD] age 39.4 [15.7] years) was 0.03% (95% CI, 0.02%-0.05%) during periods without surges and a maximum of 0.33% (95% CI, 0.25%-0.43%) during peak surges at the Japanese standard Ct value of approximately 40; however, the positive rate would have been 10-fold less at a Ct value of 25 as used elsewhere in the world (eg, UK). There was an increase in patients with a positive PCR test result with a Ct value of 25 or 30 preceding surges in infection and hotspots of asymptomatic infections.Conclusions and relevanceIn this cross-sectional study of asymptomatic SARS-CoV-2 infection in the general population of Japan in 2021, as investigated by sentinel surveillance, a low rate of infection was seen in the Japanese population compared with reported levels elsewhere in the world. This finding provides real-world data on the state of infection in Japan.
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Project description:ObjectiveEvaluating the prevalence of long-COVID symptoms in patients with a history of mild or asymptomatic infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and the factors associated with developing long-COVID.DesignA nationwide cohort study. Using a centralized database, we have identified patients with and without a history of SARS-CoV-2 infection 1-6 months before data collection. Patients were asked to fill out an online questionnaire through text messages.SettingIsraeli general practice.Subjects2755 persons participated in the study in September 2021 (a response rate of 7.5%): 819 with and, 936 without a history of SARS-CoV-2 infection.Main outcome measuresWe asked patients to provide details about their demographic status, medical history, COVID-related variables and the presence of long-COVID symptoms.ResultsMost prevalent long-COVID symptoms were decreased smell sensation (35.1% vs. 4.3%, p < 0.001), decreased taste sensation (25.2% vs. 3.2%, p < 0.001), memory disturbances (36.9% vs. 14.4%, p < 0.001), dyspnea (24.2% vs. 10.7%, p < 0.001) and arthralgia (33% vs. 16.3%, p < 0.001). Risk factors associated with long-COVID included female gender, symptomatic COVID-19, overweight or obesity and the presence of dyslipidemia. About 34.6% of participants reported not returning to their baseline health condition after the acute illness.ConclusionLong-COVID is frequently seen following a mild symptomatic COVID-19 infection and, to a lesser extent, following an asymptomatic SARS-CoV-2 infection. Primary care physicians should be aware of these symptoms and consider this option in their differential diagnosis. Health policymakers should expect a significant impact of this syndrome on public health.Key PointsLong-COVID has emerged as a significant health problem with a serious impact on normal daily function• Long-COVID symptoms were evident in patients with mild symptomatic disease and in asymptomatic patients to a lesser extent.• Risk factors for having Long-COVID symptoms include female gender, symptomatic disease, increased BMI, and the presence of dyslipidemia.• Fatigue, dyspnea, weakness, decreased libido, weight changes, memory, and sleep disturbances were associated with not returning to the baseline health state.
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Project description:Nonpharmaceutical interventions (NPIs) to contain the SARS-CoV-2 pandemic drastically reduced human-to-human interactions, decreasing the circulation of other respiratory viruses, as well. Consequently, influenza virus circulation, which is normally responsible for 3 to 5 million hospitalizations per year globally, was significantly reduced. With the downscaling of the NPI countermeasures, there is a concern for increased influenza disease, particularly in individuals suffering from postacute effects of SARS-CoV-2 infection. To investigate this, we performed a sequential influenza H1N1 infection 4 weeks after an initial SARS-CoV-2 infection in ferrets. Upon H1N1 infection, ferrets that were previously infected with SARS-CoV-2 showed an increased tendency to develop clinical signs, compared to the control H1N1-infected animals. A histopathological analysis indicated only a slight increase for type II pneumocyte hyperplasia and bronchitis. Thus, the effects of the sequential infection appeared minor. However, ferrets were infected with B.1.351-SARS-CoV-2, the beta variant of concern, which replicated poorly in our model. The histopathology of the respiratory organs was mostly resolved 4 weeks after the SARS-CoV-2 infection, with only reminiscent histopathological features in the upper respiratory tract. Nevertheless, SARS-CoV-2 specific cellular and humoral responses were observed, confirming an established infection. On account of a modest trend toward the enhancement of the influenza disease, even upon a mild SARS-CoV-2 infection, our findings suggest that a stronger SARS-CoV-2 infection and its consequent, long-term effects could have a greater impact on the outcome of disease after a sequential influenza infection. Hence, the influenza vaccination of individuals suffering from postacute SARS-CoV-2 infection effects may be considered an avertible measure for such a scenario. IMPORTANCE During the COVID-19 pandemic, the use of face masks, social distancing, and isolation were effective not only in decreasing the circulation of SARS-CoV-2 but also in reducing other respiratory viruses, such as influenza. With fewer restrictions currently in place, influenza is slowly returning. In the meantime, people who are still suffering from long-COVID could be more vulnerable to an influenza virus infection and could develop a more severe influenza disease. This study provides directions to the effect of a previous SARS-CoV-2 exposure on influenza disease severity in a ferret model. This model is highly valuable to test sequential infections under controlled settings for translation to humans. We could not induce clear long-term COVID-19 effects, as the SARS-CoV-2 infections in the ferrets were mild. However, we still observed a slight increase in influenza disease severity compared to ferrets that had not encountered SARS-CoV-2 before. Therefore, it may be advisable to include long-COVID patients as a risk group for influenza vaccination.
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Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly throughout the world since the first cases of coronavirus disease 2019 (COVID-19) were observed in December 2019 in Wuhan, China. It has been suspected that infected persons who remain asymptomatic play a significant role in the ongoing pandemic, but their relative number and effect have been uncertain. The authors sought to review and synthesize the available evidence on asymptomatic SARS-CoV-2 infection. Asymptomatic persons seem to account for approximately 40% to 45% of SARS-CoV-2 infections, and they can transmit the virus to others for an extended period, perhaps longer than 14 days. Asymptomatic infection may be associated with subclinical lung abnormalities, as detected by computed tomography. Because of the high risk for silent spread by asymptomatic persons, it is imperative that testing programs include those without symptoms. To supplement conventional diagnostic testing, which is constrained by capacity, cost, and its one-off nature, innovative tactics for public health surveillance, such as crowdsourcing digital wearable data and monitoring sewage sludge, might be helpful.
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Project description:BackgroundImmunoglobulin A (IgA) is an important component of the early immune response to SARS-CoV-2. Prior serosurveys in high-risk groups employing IgG testing alone have provided discordant estimates. The potential added benefit of IgA in serosurveys has not been established.MethodsLongitudinal serosurvey of first responders (police, emergency medical service providers, fire fighters, and other staff) employing 3 serologic tests (anti-spike IgA, anti-spike IgG, and anti-nucleocapsid IgG) correlated with surveys assessing occupational and nonoccupational risk, exposure to COVID-19, and illnesses consistent with COVID-19.ResultsTwelve percent of first responders in Colorado at baseline and 22% at follow-up were assessed as having SARS-CoV-2 infection. Five percent at baseline and 6% at follow-up were seropositive only for IgA. Among those IgA positive only at baseline, the majority (69%) had a positive antibody at follow-up; 45% of those infected at baseline and 33% at follow-up were asymptomatic. At all time points, the estimated cumulative incidence in our study was higher than that in the general population.ConclusionsFirst responders are at high risk of infection with SARS-CoV-2. IgA testing identified a significant portion of cases missed by IgG testing and its use as part of serologic surveys may improve retrospective identification of asymptomatic infection.
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