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Lancet Reg Health Eur . Epidemiology, clinical characteristics, and virologic features of COVID-19 patients in Kazakhstan: A nation-wide retrospect

tetano

Editor, Senior Moderator
Lancet Reg Health Eur


. 2021 May;4:100096.
doi: 10.1016/j.lanepe.2021.100096. Epub 2021 Apr 16.
Epidemiology, clinical characteristics, and virologic features of COVID-19 patients in Kazakhstan: A nation-wide retrospective cohort study


Sergey Yegorov[SUP] 1 2 [/SUP], Maiya Goremykina[SUP] 3 [/SUP], Raifa Ivanova[SUP] 3 [/SUP], Sara V Good[SUP] 4 [/SUP], Dmitriy Babenko[SUP] 4 5 [/SUP], Alexandr Shevtsov[SUP] 6 [/SUP], Kelly S MacDonald[SUP] 7 8 [/SUP], Yersin Zhunussov[SUP] 9 [/SUP], COVID-19 Genomics Research Groupon behalf of the Semey COVID-19 Epidemiology Research Group



Affiliations

Abstract

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: 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: 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: 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: Ministry of Education and Science of the Republic of Kazakhstan.

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