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Clinical and laboratory profiles of the SARS-CoV-2 Delta variant compared with pre-Delta variants.
Bhakta, Shivang; Sanghavi, Devang K; Johnson, Patrick W; Kunze, Katie L; Neville, Matthew R; Wadei, Hani M; Bosch, Wendelyn; Carter, Rickey E; Shah, Sadia Z; Pollock, Benjamin D; Oman, Sven P; Speicher, Leigh; Siegel, Jason; Libertin, Claudia R; Matson, Mark W; Moreno Franco, Pablo; Cowart, Jennifer B.
Afiliação
  • Bhakta S; Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA. Electronic address: bhakta.shivang@mayo.edu.
  • Sanghavi DK; Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Johnson PW; Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Kunze KL; Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ, USA.
  • Neville MR; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, USA.
  • Wadei HM; Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA.
  • Bosch W; Division of Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA.
  • Carter RE; Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Shah SZ; Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA.
  • Pollock BD; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, USA.
  • Oman SP; Division of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Speicher L; Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Siegel J; Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA; Department of Neurology, Mayo Clinic, Jacksonville, FL, USA.
  • Libertin CR; Division of Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA.
  • Matson MW; Center for Digital Health - Data & Analytics, Mayo Clinic, Rochester, MN, USA.
  • Moreno Franco P; Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, USA; Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA.
  • Cowart JB; Division of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL, USA. Electronic address: cowart.jennifer@mayo.edu.
Int J Infect Dis ; 120: 88-95, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35487339
OBJECTIVES: The emergence of SARS-CoV-2 variants of concern has led to significant phenotypical changes in transmissibility, virulence, and public health measures. Our study used clinical data to compare characteristics between a Delta variant wave and a pre-Delta variant wave of hospitalized patients. METHODS: This single-center retrospective study defined a wave as an increasing number of COVID-19 hospitalizations, which peaked and later decreased. Data from the United States Department of Health and Human Services were used to identify the waves' primary variant. Wave 1 (August 8, 2020-April 1, 2021) was characterized by heterogeneous variants, whereas Wave 2 (June 26, 2021-October 18, 2021) was predominantly the Delta variant. Descriptive statistics, regression techniques, and machine learning approaches supported the comparisons between waves. RESULTS: From the cohort (N = 1318), Wave 2 patients (n = 665) were more likely to be younger, have fewer comorbidities, require more care in the intensive care unit, and show an inflammatory profile with higher C-reactive protein, lactate dehydrogenase, ferritin, fibrinogen, prothrombin time, activated thromboplastin time, and international normalized ratio compared with Wave 1 patients (n = 653). The gradient boosting model showed an area under the receiver operating characteristic curve of 0.854 (sensitivity 86.4%; specificity 61.5%; positive predictive value 73.8%; negative predictive value 78.3%). CONCLUSION: Clinical and laboratory characteristics can be used to estimate the COVID-19 variant regardless of genomic testing availability. This finding has implications for variant-driven treatment protocols and further research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Infect Dis Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Infect Dis Ano de publicação: 2022 Tipo de documento: Article