Epidemiological and initial clinical characteristics of patients with family aggregation of COVID-19

Xiao-Ying Xia1, Jing Wu1, He-Lei Liu1

  • 1Infectious Disease Department, The People's Hospital of Dazu District, Chongqing, 402360, China.

Insights

Family clusters of COVID-19 show that lower CD4+ lymphocyte counts and higher neutrophil-lymphocyte ratios may indicate severe infection. These findings help predict disease severity in SARS-CoV-2 family outbreaks.

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Clinical Medicine

Background:

  • The global outbreak of coronavirus disease 2019 (COVID-19) continues to spread.
  • Understanding transmission dynamics within family units is crucial.

Purpose of the Study:

  • To investigate the epidemiological history and clinical characteristics of COVID-19 in a family cluster.
  • To identify potential indicators of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Main Methods:

  • Retrospective analysis of 10 patients with confirmed SARS-CoV-2 infection from a family cluster in Chongqing, China.
  • Collection of epidemiological, clinical, laboratory, and imaging data.
  • Analysis based on the Diagnosis and Treatment Guideline for COVID-19 (5th edition, China).

Main Results:

  • One initial case, with a history of travel to Wuhan, China, led to a family cluster of 10 infected individuals.
  • The average age was 56.5 years, with a 2-14 day incubation period. Common symptoms included dry cough, fever, and fatigue.
  • Severe cases exhibited lower CD4+ lymphocyte counts, lower RT-PCR cycle threshold (CT) values (indicating higher viral load), and higher neutrophil-lymphocyte ratios (NLR).

Conclusions:

  • Lower CD4+ lymphocyte counts and higher NLR in RT-PCR tests may predict COVID-19 severity in family clusters.
  • Family gatherings pose a significant risk for SARS-CoV-2 transmission.
  • Early identification of severe cases through these markers can aid clinical management.
Abstract

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