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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Clinical findings in a group of COVID-19 patients: a single-center retrospective study

Fang Ji1, Liang Wang2,3, Chunyang Li1

  • 1Department of Infectious Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Annals of Translational Medicine
|February 8, 2021
PubMed

Insights

This study analyzed 25 coronavirus disease 2019 (COVID-19) patients, revealing key laboratory markers that may help identify early-stage infections. All patients recovered and were discharged after treatment.

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Clinical Medicine

Background:

  • The global COVID-19 pandemic continues to spread, with millions infected worldwide.
  • The ongoing nature of the pandemic necessitates understanding disease progression and patient characteristics.

Purpose of the Study:

  • To provide a comprehensive overview of COVID-19 patients in a single center.
  • To investigate epidemiological features, clinical findings, and laboratory markers in COVID-19 patients.
  • To identify potential early indicators of COVID-19 infection.

Main Methods:

  • Retrospective, single-center cohort analysis of 25 adult inpatients with laboratory-confirmed COVID-19.
  • Collection and reporting of epidemiological data, clinical findings, and medical treatments.
  • Investigation of laboratory markers and their temporal changes during treatment.

Main Results:

  • Detailed epidemiological and clinical data were collected for all 25 patients.
  • Temporal changes in laboratory markers were identified.
  • All patients successfully recovered and were discharged following medical treatment.

Conclusions:

  • The study offers a comprehensive view of COVID-19 patient characteristics at a single institution.
  • Certain laboratory markers showed statistically significant differences during the disease course.
  • These markers may serve as valuable indicators for early COVID-19 detection.
Abstract

Keywords:
Coronavirus disease 2019 (COVID-19)SARS-CoV-2infectionmedical treatmentsymptomtransmission

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