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1.
J Immunol Methods ; 489: 112909, 2021 02.
Article in English | MEDLINE | ID: covidwho-912357

ABSTRACT

OBJECTIVES: We validate the use of a lateral flow immunoassay (LFI) intended for rapid screening and qualitative detection of anti-SARS-CoV-2 IgM and IgG in serum, plasma, and whole blood, and compare results with ELISA. We also seek to establish the value of LFI testing on blood obtained from a capillary blood sample. METHODS: Samples collected by venous blood draw and finger stick were obtained from patients with SARS-CoV-2 detected by RT-qPCR and control patients. Samples were tested with Biolidics 2019-nCoV IgG/IgM Detection Kit lateral flow immunoassay, and antibody calls were compared with ELISA. RESULTS: Biolidics LFI showed clinical sensitivity of 92% with venous blood at 7 days after PCR diagnosis of SARS-CoV-2. Test specificity was 92% for IgM and 100% for IgG. There was no significant difference in detecting IgM and IgG with Biolidics LFI and ELISA at D0 and D7 (p = 1.00), except for detection of IgM at D7 (p = 0.04). Capillary blood of SARS-CoV-2 patients showed 93% sensitivity for antibody detection. CONCLUSIONS: Clinical performance of Biolidics 2019-nCoV IgG/IgM Detection Kit is comparable to ELISA and was consistent across sample types. This provides an opportunity for decentralized rapid testing and may allow point-of-care and longitudinal self-testing for the presence of anti-SARS-CoV-2 antibodies.


Subject(s)
Antibodies, Viral/blood , Antibodies, Viral/immunology , COVID-19/blood , COVID-19/immunology , Immunologic Tests/standards , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , COVID-19/genetics , Capillaries , Enzyme-Linked Immunosorbent Assay , Humans , Immunoglobulin G/blood , Immunoglobulin G/immunology , Immunoglobulin M/blood , Immunoglobulin M/immunology , Retrospective Studies , Sensitivity and Specificity , Veins
2.
Genome Res ; 30(12): 1781-1788, 2020 12.
Article in English | MEDLINE | ID: covidwho-889658

ABSTRACT

Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.


Subject(s)
COVID-19 , Genome, Viral , Pandemics , Phylogeny , SARS-CoV-2/genetics , Whole Genome Sequencing , COVID-19/epidemiology , COVID-19/genetics , COVID-19/transmission , Female , Humans , Male , New York City
3.
medRxiv ; 2020 Aug 19.
Article in English | MEDLINE | ID: covidwho-828498

ABSTRACT

Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.

5.
J Cutan Pathol ; 48(1): 110-115, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-748638

ABSTRACT

COVID-19, an infectious disease caused by the novel coronavirus, was initially identified in Wuhan, China, in December 2019. By March 2020, it was declared a pandemic by the World Health Organization. Although most findings have been reported in the lungs, primarily due to catastrophic respiratory decline, other organs, including the skin, are affected. Recent reports have been published describing the clinical spectrum of COVID-19-related lesions. In addition, recent case series have described a subset of these lesions having underlying thrombotic microangiopathy with increased complement activation characterized by increased C4d deposition within the blood vessel walls. Herein, we describe a series of COVID-19-related cutaneous manifestations found at autopsy examination and their underlying histopathologic findings. Although the clinical manifestations seen in these lesions vary widely, the underlying etiology of thrombotic microangiopathy remains consistent and reproducible.


Subject(s)
COVID-19/complications , Skin Diseases, Viral/pathology , Humans , Male , Middle Aged , SARS-CoV-2 , Young Adult
6.
Am J Pathol ; 190(9): 1881-1887, 2020 09.
Article in English | MEDLINE | ID: covidwho-726391

ABSTRACT

The dynamics of viral load (VL) of the severe acute respiratory syndrome coronavirus 2 and its association with different clinical parameters remain poorly characterized in the US patient population. Herein, we investigate associations between VL and parameters, such as severity of symptoms, disposition (admission versus direct discharge), length of hospitalization, admission to the intensive care unit, length of oxygen support, and overall survival in 205 patients from a tertiary care center in New York City. VL was determined using quantitative PCR and log10 transformed for normalization. Associations were tested with univariate and multivariate regression models. Diagnostic VL was significantly lower in hospitalized patients than in patients not hospitalized (log10 VL = 3.3 versus 4.0; P = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities. Higher VL was associated with shorter duration of the symptoms in all patients and hospitalized patients only and shorter hospital stay (coefficient = -2.02, -2.61, and -2.18; P < 0.001, P = 0.002, and P = 0.013, respectively). No significant association was noted between VL, admission to intensive care unit, length of oxygen support, and overall survival. Our findings suggest a higher shedding risk in less symptomatic patients, an important consideration for containment strategies. Furthermore, we identify a novel association between VL and history of cancer. Larger studies are warranted to validate our findings.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Viral Load , Adult , COVID-19 , Female , Hospitalization/statistics & numerical data , Humans , Male , Middle Aged , New York City/epidemiology , Pandemics , Risk Factors , SARS-CoV-2
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