↓ Read PDF
01 · ABSTRACT

Abstract

 

Background:

Since December 2019 mankind is agonized over the deadly coronavirus disease 2019 (COVID-19) which is due to the novel coronavirus (2019-nCoV) or Severe Acute Respiratory Syndrome Coronavirus-2 (Sars-cov-2).

Methods: In this retrospective study, laboratory findings and demographic features form all confirmed COVID-19 patients who attended the Emergency Department of both branches of our hospital during the first semester of 2021 were collected and analyzed. The working hypothesis was that initial laboratory data at the time the patients seeked medical assistant for the first time, regardless of comorbidities and day of onset of symptoms, can help predict patients’ outcome. Demographic data and laboratory tests were compared between hospitalized and non-hospitalized patients.

Results: Data of 270 patients were collected and analyzed retrospectively. 31 blood measurement parameters performed in both hospital branches were compared between hospitalized and non-hospitalized patients. Of those, WBC count (p=0.016), neutrophil percentage (p<0.001), lymphocyte percentage (p<0.001), platelet count (p=0.041), glucose (p<0.001), urea (p<0.001), creatinine (p<0.001), SGOT (p=0.024), CK (p<0.053), LDH (p<0.001), GGT (p<0.001), sodium (p<0.001), calcium (p<0.001), high sensitivity Troponin I (p<0.001), and ferritin levels (p<0.001), proved statistically significant. Regarding demographic data, age was significantly linked to patients’ survival.

Conclusion: Our data suggest that common initial laboratory findings of COVID-19 patients who seek for the first-time medical assistant regardless of comorbidities and time from onset of symptoms can give clues to the patient outcome. Age is also important for patients’ survival. Especially in a Primary Health Care Setting, common blood parameters like WBC count, neutrophil and lymphocyte percentage, platelet count, glucose, urea, creatinine, SGOT, CK, LDH, GGT, sodium, calcium, high sensitivity Troponin I, and ferritin levels, could be really helpful to predict disease severity.

↓ Read PDF
02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 10 No 3 (2022): Vol.10 Issue 3 March 2022
SectionResearch Articles
Published30 March 2022
DOI10.18103/mra.v10i3.2724
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

VD

Vasiliki Diamanti

Department of Microbiology, General Hospital of Eastern Achaia, Aigio, Greece

PM

Panagiota Masoura

Department of Microbiology, General Hospital of Eastern Achaia, Kalavrita, Greece

AR

Angeliki Rapanou

Department of Internal Medicine, General Hospital of Eastern Achaia, Aigio, Greece

ZG

Zoi Grammenidou

Department of Internal Medicine, General Hospital of Eastern Achaia, Aigio, Greece

AT

Aimilios Tzoudas

Department of Primary Healthcare, General Hospital of Eastern Achaia, Kalavrita, Greece

CS

Chara Sakarelou

Department of Internal Medicine, General Hospital of Eastern Achaia, Kalavrita, Greece

TB

Tatiana Beqo Rokaj

Department of Primary Healthcare, General Hospital of Eastern Achaia, Kalavrita, Greece

KN

Katerina Ntzinia

Department of Primary Healthcare, General Hospital of Eastern Achaia, Kalavrita, Greece

Medical Research Archives

Submit your own article

Register as an author to reserve your spot in the next issue of the Medical Research Archives.

Start your submission  ↗