Evidence map›Paper›PMID 38774743›Full record

ArticleSAGE open medicine2024

Assessment of the hematological profiles among COVID-19 patients during the first and second waves in Ethiopia: A multicenter retrospective cohort study.

Minale Fekadie Baye, Diliab Desta, Samuel Hunegnaw, Ahmed Johar, Israel Bekele, Kebenesa Angasu, Nebiyou Simegnew Bayleyegn, Habtamu Abebe Getahun, Assefa Legesse Sisay

Abstract read
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Article in SAGE open medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Minale Fekadie BayeDepartment of Biochemistry, School of Biomedical Sciences, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-9338-9953
Diliab DestaDepartment of Anatomy, School of Biomedical Sciences, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-3429-8306
Samuel HunegnawDepartment of Internal Medicine, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Ahmed JoharDepartment of Biomedical Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Israel BekeleFaculty of Health Sciences, School of Nursing, Jimma University, Jimma, Ethiopia.
Kebenesa AngasuFaculty of Health Sciences, School of Nursing, Jimma University, Jimma, Ethiopia.
Nebiyou Simegnew BayleyegnFaculty of Health Sciences, Department of Surgery, Institute of Health, Jimma University, Jimma, Ethiopia.
Habtamu Abebe GetahunPublic Health Faculty, Department of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-3861-0782
Assefa Legesse SisayPublic Health Faculty, Department of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-3289-3355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 is highly infectious and patients with coronavirus diseases demonstrated a series of clinical symptoms caused by severe acute respiratory syndrome coronavirus-2. Without a break of the wave's hematological profile of the patients is still ambiguous and differs from wave to wave. Objective: This study aimed to assess the hematological profile among coronavirus disease 2019 patients during the first and the second waves in Ethiopia. Methods: A multi-centered facility-based retrospective cohort study design was conducted at six coronavirus disease 2019 treatment centers. A total of 538 study participants were enrolled in the selected coronavirus disease 2019 treatment centers during the first and second waves of the pandemic. The demographic characteristics, underlying diseases, symptoms, and hematological parameters of patients were recorded. Data were entered into Epi-Data Manager 4.6 and analyzed using STATA 14.2. An independent sample Results: Among the total study participants, 240 (44.6%) and 298 (55.4%) patients were taken from wave-1 and wave-2, respectively. The average age of the study participants was 56.44 ± 16.25 years. The most frequent comorbidities in this study were hypertension, diabetes mellitus, ischemic heart disease, and asthma. The most presenting symptoms of COVID-19 infection across the two waves were presented. In the first wave, dry cough 166 (69.2%), fatigue 153 (63.75%), shortness of breath 148 (61.67%), and fever accounted 116 (48.33%), while during the second wave, dry cough 242 (81.2%), fatigue 244 (81.88%) shortness of breath 204 (68.47%) and fever account 180 (60.40%). White blood cells (WBC), neutrophils, and lymphocytes had shown increment during the first wave. Platelet count and platelet distribution width ( Conclusion: In the present study, dry cough, fatigue, shortness of breath, and fever were found to be the most presenting symptoms of COVID-19 infection across the two waves. Only the platelet count and platelet distribution width had significant mean differences across the two waves, while the other had no significant mean difference across waves.

Indexed as

COVID-19Ethiopiahematological profilewaves

Identifiers

PMID38774743
PMCPMC11107322

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