Epidemiology, clinical characteristics, and virologic features of COVID-19 patients in Kazakhstan: A nation-wide retrospective cohort study.

COVID-19 Central Asia Clinical characteristics Disease risk factors Disease severity Kazakhstan Molecular epidemiology SARS-CoV-2 SARS-CoV-2 genomics

Journal

The Lancet regional health. Europe
ISSN: 2666-7762
Titre abrégé: Lancet Reg Health Eur
Pays: England
ID NLM: 101777707

Informations de publication

Date de publication:
May 2021
Historique:
entrez: 21 4 2021
pubmed: 22 4 2021
medline: 22 4 2021
Statut: ppublish

Résumé

The earliest coronavirus disease-2019 (COVID-19) cases in Central Asia were announced in March 2020 by Kazakhstan. Despite the implementation of aggressive measures to curb infection spread, gaps remain in the understanding of the clinical and epidemiologic features of the regional pandemic. We did a retrospective, observational cohort study of patients with laboratory-confirmed COVID-19 hospitalized in Kazakhstan between February and April 2020. We compared demographic, clinical, laboratory and radiological data of patients with different COVID-19 severities on admission. Logistic regression was used to assess factors associated with disease severity and in-hospital death. Whole-genome SARS-CoV-2 analysis was performed in 53 patients. Of the 1072 patients with laboratory-confirmed COVID-19 in March-April 2020, the median age was 36 years (IQR 24-50) and 484 (45%) were male. On admission, 683 (64%) participants had asymptomatic/mild, 341 (32%) moderate, and 47 (4%) severe-to-critical COVID-19 manifestation; 20 in-hospital deaths (1•87%) were reported by 5 May 2020. Multivariable regression indicated increasing odds of severe disease associated with older age (odds ratio 1•05, 95% CI 1•03-1•07, per year increase; p<0•001), the presence of comorbidities (2•34, 95% CI 1•18-4•85; p=0•017) and elevated white blood cell count (WBC, 1•13, 95% CI 1•00-1•27; p=0•044) on admission, while older age (1•09, 95% CI 1•06-1•13, per year increase; p<0•001) and male sex (5•63, 95% CI 2•06-17•57; p=0•001) were associated with increased odds of in-hospital death. The SARS-CoV-2 isolates grouped into seven phylogenetic lineages, O/B.4.1, S/A.2, S/B.1.1, G/B.1, GH/B.1.255, GH/B.1.3 and GR/B.1.1.10; 87% of the isolates were O and S sub-types descending from early Asian lineages, while the G, GH and GR isolates were related to lineages from Europe and the Americas. Older age, comorbidities, increased WBC count, and male sex were risk factors for COVID-19 disease severity and mortality in Kazakhstan. The broad SARS-CoV-2 diversity suggests multiple importations and community-level amplification predating travel restriction. Ministry of Education and Science of the Republic of Kazakhstan.

Sections du résumé

BACKGROUND BACKGROUND
The earliest coronavirus disease-2019 (COVID-19) cases in Central Asia were announced in March 2020 by Kazakhstan. Despite the implementation of aggressive measures to curb infection spread, gaps remain in the understanding of the clinical and epidemiologic features of the regional pandemic.
METHODS METHODS
We did a retrospective, observational cohort study of patients with laboratory-confirmed COVID-19 hospitalized in Kazakhstan between February and April 2020. We compared demographic, clinical, laboratory and radiological data of patients with different COVID-19 severities on admission. Logistic regression was used to assess factors associated with disease severity and in-hospital death. Whole-genome SARS-CoV-2 analysis was performed in 53 patients.
FINDINGS RESULTS
Of the 1072 patients with laboratory-confirmed COVID-19 in March-April 2020, the median age was 36 years (IQR 24-50) and 484 (45%) were male. On admission, 683 (64%) participants had asymptomatic/mild, 341 (32%) moderate, and 47 (4%) severe-to-critical COVID-19 manifestation; 20 in-hospital deaths (1•87%) were reported by 5 May 2020. Multivariable regression indicated increasing odds of severe disease associated with older age (odds ratio 1•05, 95% CI 1•03-1•07, per year increase; p<0•001), the presence of comorbidities (2•34, 95% CI 1•18-4•85; p=0•017) and elevated white blood cell count (WBC, 1•13, 95% CI 1•00-1•27; p=0•044) on admission, while older age (1•09, 95% CI 1•06-1•13, per year increase; p<0•001) and male sex (5•63, 95% CI 2•06-17•57; p=0•001) were associated with increased odds of in-hospital death. The SARS-CoV-2 isolates grouped into seven phylogenetic lineages, O/B.4.1, S/A.2, S/B.1.1, G/B.1, GH/B.1.255, GH/B.1.3 and GR/B.1.1.10; 87% of the isolates were O and S sub-types descending from early Asian lineages, while the G, GH and GR isolates were related to lineages from Europe and the Americas.
INTERPRETATION CONCLUSIONS
Older age, comorbidities, increased WBC count, and male sex were risk factors for COVID-19 disease severity and mortality in Kazakhstan. The broad SARS-CoV-2 diversity suggests multiple importations and community-level amplification predating travel restriction.
FUNDING BACKGROUND
Ministry of Education and Science of the Republic of Kazakhstan.

Identifiants

pubmed: 33880458
doi: 10.1016/j.lanepe.2021.100096
pii: S2666-7762(21)00073-9
pmc: PMC8050615
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100096

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

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Auteurs

Sergey Yegorov (S)

School of Sciences and Humanities, Nazarbayev University, 53 Kabanbay Batyr Ave, Nur-Sultan 010000, Kazakhstan.
Michael G. DeGroote Institute for Infectious Disease Research, Faculty of Health Sciences, McMaster University, 1280 Main St. West, Hamilton, Ontario, L8S 4L8, Canada.

Maiya Goremykina (M)

Department of Rheumatology and Non-Infectious Diseases, Semey Medical University 103 Abai street, Semey 071400, Kazakhstan.

Raifa Ivanova (R)

Department of Rheumatology and Non-Infectious Diseases, Semey Medical University 103 Abai street, Semey 071400, Kazakhstan.

Sara V Good (SV)

Department of Biology, University of Winnipeg, 599 Portage Avenue, Winnipeg, Manitoba R3B2E9, Canada.

Dmitriy Babenko (D)

Department of Biology, University of Winnipeg, 599 Portage Avenue, Winnipeg, Manitoba R3B2E9, Canada.
Research Centre, Karaganda Medical University, 40 Gogol St, Karaganda, 100008 Kazakhstan.

Alexandr Shevtsov (A)

National Centre for Biotechnology, 13/5 Kurgalzhynskoye road, Nur-Sultan 010000, Kazakhstan.

Kelly S MacDonald (KS)

Departments of Medicine, Microbiology & Immunology, Max Rady College of Medicine, University of Manitoba, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada.
JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, 745 Logan Avenue, Winnipeg, Manitoba R3E3L5, Canada.

Yersin Zhunussov (Y)

Department of Public Health, Semey Medical University, 103 Abai street, Semey 071400, Kazakhstan.

Classifications MeSH