Characteristics of COVID-19 Patients in Kazakhstan in Early 2020

Epidemiological and Clinical Characteristics of COVID-19 Patients in Kazakhstan in Early 2020: a Retrospective, Observational Cohort Study

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04627194

Enrollment

1000

Registered

2020-11-13

Start date

2020-02-20

Completion date

2020-12-01

Last updated

2020-11-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid19, Pneumonia, Viral

Brief summary

The aim of this study is to assess the epidemiological and clinical features of patients diagnosed with COVID-19 in Kazakhstan at the onset of the pandemic.

Detailed description

There is a paucity of data available on the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) in Kazakhstan. While a global effort in search for effective treatments and vaccines against COVID-19 is in effect, it is important that high quality and up-to-date information be available from a broad variety of populations on the dynamics of infection. This is especially important in regions where, due to resource shortage, epidemiologic surveillance may have gaps. To address the current gaps, medical records will be obtained for patients with confirmed COVID-19 during the first months of the pandemic (February-April 2020). The epidemiologic and clinical features including the demographics, clinical manifestation, laboratory parameters, radiologic assessments and clinical outcomes will be analyzed. The results of this study will facilitate the clinical management of COVID-19 patients in Kazakhstan and ultimately inform the ongoing efforts to curb the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the region.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

0 Years to No maximum

Healthy volunteers

Inclusion criteria

* Laboratory confirmation of SARS-CoV-2 infection by polymerase chain reaction.

Design outcomes

Primary

Measure	Time frame	Description
Clinical and demographic predictors of disease severity among hospitalized COVID-19 patients.	approximately 70 days	Risk factors associated with disease severity and their odds ratios (ORs) will be assessed by the univariable and multivariable logistic regression models.
Clinical and demographic predictors of mortality among hospitalized COVID-19 patients.	approximately 70 days	Risk factors associated with death and their odds ratios (ORs) will be assessed by the univariable and multivariable logistic regression models.

Countries

Kazakhstan

Outcome results