ClinicalTrials.gg
Status unknownNCT04987853Updated Aug 3, 2021

Clinical, Functional, Immunological and Genetic Factors on the Severity of the Course of Coronavirus Infection

An observational study in Covid19 and Corona Virus Infection, sponsored by National Research Center for Cardiac Surgery, Kazakhstan. Status unknown at 1 site in Kazakhstan. Open to participants aged 18 Years to 65 Years. Per ClinicalTrials.gov, last updated 2021-08-03.

Sponsored by National Research Center for Cardiac Surgery, Kazakhstan · Observational

The sponsor has not verified this record recently (last verified Jul 2021), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
300
Ages
18 Years to 65 Years
Sex
All
01

Study summary

The purpose of the program. To determine the clinical, functional, immunological, and genetic factors affecting the severity of the course of acute coronavirus infection COVID-19 and PostCovid syndrome, in order to develop management tactics for such patients to reduce the risk of complications and disability.

Read the detailed description

Objectives of the program:

  1. To determine the clinical and functional characteristics of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.

    1.1. To study the features of neurological disorders in patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.

  2. To study the immunological profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
  3. To study the genetic profile of patients with varying degrees of the course of the acute phase of COVID-19 and Post Covid syndrome.
  4. Identify potential predictors of COVID-19 severity.
  5. To determine the markers that allows predicting the development of the Post Covid syndrome.
  6. Based on the selected markers, develop a COVID-19 outcome scale to determine the tactics of patient management to prevent the development of Post Covid syndrome.

The study will include patients with a positive PCR test for COVID-19. Patients in the acute phase of the course of the disease are monitored and treated in accordance with the republican COVID-19 treatment protocol. After signing the informed consent, the patient will be included in the study. The collection of the necessary materials for subsequent analyzes (clinical-functional, genetic, immunological) will be carried out in accordance with this protocol. Subsequently, patients are observed within one year from the moment of illness in accordance with the study protocol and with the collection of all necessary materials.

Clinical and functional analysis:

Detection of RNA of the COVID-19 virus using PCR analysis. Conducting complex laboratory studies in accordance with table 1.

General blood analysis Complete blood count on an analyzer with differentiation of 5 classes of cells, the ratio of neutrophils to lymphocytes

Blood chemistry ALT, AST, total bilirubin, direct, LDH, CRP, alpha-amylase, creatinine, urea, glucose, ferritin, glycosylated hemoglobin, vitamin 25 - OH vitamin D, vitamin B12

Coagulogram D-dimers, fibrinogen, INR, APTT

Other NT-pro BNP, Homocysteine, IL 6, Troponin, blood group determination

Linked immunosorbent assay Determination of IgG and IgM antibodies to SARS-CoV-2 coronavirus (COVID-19) in blood serum, RBD

Functional diagnostics • ECG

  • EchoCG + strain
  • CT scan of the lungs
  • Holter
  • SMAD
  • Kidney ultrasound
  • Ultrasound
  • Doppler ultrasonography of veins and arteries
  • Chalder Scale, EQ Questionnaire Table 1. Clinical and functional analysis

Neurological disorders:

  1. Neurological examination with the isolation of neurological syndromes (motor, cognitive impairments, sleep disorders, asthenic-depressive syndromes, etc.).
  2. Neuropsychological methods - research on the scales of anxiety and depression, MMSE, etc.
  3. Instrumental method - EEG, polysonography, ultrasound of the neck vessels, CT perfusion.
  4. Laboratory research methods:

    1. The study of antibodies to some neurospecific antigens - myelin basic protein (MBP), neurospecific enolase (NSE).
    2. Study of cellular immunity (CD3 +, CD4 +, CD8 +) and general indicators of humoral immunity (IgG, IgA, IgM, circulating immune complexes).

Immunological analysis:

A comprehensive immunological analysis will be carried out to determine the level of the immune response. Calculation of the level of CD4 +, CD8 + and NK cells. The level of antibodies of the IgG and IgM classes to the proteins of the coronavirus S1, RBD and N was determined Multiplex Immunoassay. For evaluation of immunological parameters, samples are diluted in 200 μl of phosphate buffer, centrifuged and the supernatant analyzed using the manufacturer's protocol. The MILLIPLEX MAP human cytokine / chemokine magnetic bead panel will be used for the analysis of multiple cytokines and chemokines / immunoglobulins, and the Milliplex® magnetic bead panel (HGAMMAG-301K-06, EMD Millipore Corp., Billerica, MA) will be used for immunoglobulin isotyping. Samples will be analyzed on Bioplex BIO-RAD for the following indicators: sCD40L, EGF, Eotaxin / CCL11, FGF-2, Flt-3 ligand, Fractalkine, G-CSF, GM-CSF, GRO, IFN-α2, IFN-γ, IL -1α, IL-1β, IL-1ra, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17A, IP-10, MCP-1, MCP-3, MDC (CCL22), MIP-1α, MIP-1β, PDGF- AA, PDGF-AB / BB, RANTES, TGF-α, TNF-α, Immunophenotyping of T-cell and B-cell subpopulations using the flow cytometry method. Subpopulations of B- and T-lymphocytes will be examined by staining peripheral blood mononuclear cells (PBMCs) isolated from whole peripheral blood with monoclonal antibodies conjugated to fluorochromes. PBMCs can be isolated from EDTA-treated whole blood using Ficoll density gradient centrifugation or special erythrocyte lysis buffers. It is preferable to analyze isolated PBMCs directly on the day of blood collection, which gives more reliable results. PBMC viability will be assessed using LIVE / DEAD ™ fixed dead cell kits or 0.4% trypan blue and propidium iodide solution. After lysis of erythrocytes and incubation with monoclonal antibodies, the stained cells are resuspended in a staining medium and examined using a MoFlo Astrios flow cytometer (Beckman Coulter, USA). The resulting data will be analyzed using Summit (Beckman Coulter) and FloJo (Tree Star) software.

Forward and side scatter will be used to distinguish the lymphocyte population in addition to the signal from specific fluorochromes. Distribution CD3-, CD5 +, CD19 + (total number of B-lymphocytes), CD5-, CD19 +, CD27 + (memory B-cells), CD19 + CD27- (naive B-cells), CD19 + CD27 + CD38 + IgD - (Class-Switched Memory B-Cells) CD19 + CD27 + CD38 + IgD + (Unswitched Memory B-Cells) will be analyzed on the general lymphocyte population. The distribution of markers CD3, CD4 and CD8 will be analyzed in the pool of T-lymphocytes. To analyze the differentiation status of T cells, cells are additionally stained with anti-CCR7, anti-CD45RO antibodies. Antibodies will be purchased from Invitrogen ™ unless otherwise noted.

Genetic analysis:

Isolation (extraction) of DNA will be performed from whole blood using commercial kits according to the manufacturer's instructions. To analyze a large number of genetic markers, it is planned to carry out genome-wide sequencing followed by analysis of genetic polymorphisms of candidate genes encoding coronavirus receptors and immunological factors.

Sequencing will be performed using high-throughput next generation sequencing platforms Illumina NovaSeq6000 (Illumina), method validation using traditional capillary sequencing - ABI 3730XL ™ DNA Analyzer (Life Technologies), real-time PCR.

Bioinformatic data analysis.Bioinformatics sequencing data will be analyzed. The software packages for bioinformatic analysis of sequencing data (GATK, bwa, bowtie, bowtie2, VarScan etc) will be used. The sequencing data will be compared with the publicly available data from the world's international databases of genomic research (https://www.covid19hg.org/, ExAC, HGMD (Human Gene Mutation Database), ESP, GeneBank, NCBI, ESP6500, 1000Genomes, SNPDb130, Ensembl, ClinVar, SNPedia, etc.). Differences in the type and frequency of genomic variation among the surveyed groups will be determined.

To classify the detected genetic variants, in silico models will be used (SIFT_score / pred, Polyphen2_HDIVscore / pred, Polyphen2_HVAR_score / pred, LRT_score / pred, MutationTaster_score / pred, MutationAssessor_score / pred, FATHMM_score / pred, Radial / MetaRVM_score pred). The classification of clinically significant genetic variants will be carried out according to the international ACMG / AMG criteria.

Statistical analysis:

Statistical analysis will be carried out using version R 3.6.2. Quantitative data, including clinical, biochemical, molecular genetic parameters, will be checked for normality using the Shapiro-Wilks test and recognized as parametric in distribution. Comparison of mean differences will be performed using one-way ANOVA, and subsequent pairwise comparison will be performed using Tukey's special test. Within-group mean differences will be performed using the paired sample t-test. The graphs will be executed using the ggplot2 R package. Statistical analysis will be performed for the multiplex analysis results using the R psych package and standard t-tests.

Inspection frequency:

Patients are followed up for 12 months from the date of illness. Disease detection corresponds to the baseline (day 0). At the time of diagnosis, materials are taken for clinical, functional and immunological diagnostics. After that, the sampling is carried out every month for the next year from the moment of the disease in accordance with the study protocol (Figure 2). The collection of materials for genetic analysis is carried out once.

02

Conditions studied

  • Covid19
  • Corona Virus Infection

Keywords

  • Post Covid syndrome
  • pneumonia
  • cardiology
  • genetic research
  • immunology
03

In context

COVID-19

7,990 studies on the registry are indexed under COVID-19; 466 are open to participants now.

This study's planned enrollment of 300 is above the median of 268 across 3,208 observational studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

National Research Center for Cardiac Surgery, Kazakhstan is the lead sponsor of 5 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

The study will include patients with a positive PCR test for COVID-19. Patients in the acute phase of the course of the disease are monitored and treated in accordance with the republican COVID-19 treatment protocol. After signing the informed consent, the patient will be included in the study. The collection of the necessary materials for subsequent analyzes (clinical-functional, genetic, immunological) will be carried out in accordance with this protocol. Subsequently, patients are observed within one year from the moment of illness in accordance with the study protocol and with the collection of all necessary materials.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age over 18 years old
  • Patients with a history of coronavirus infection COVID-19 confirmed by PCR analysis
  • Patients who signed to participate in the study

Exclusion criteria

Exclusion Criteria:

  • Refusal to undergo diagnostic procedures determined by the research protocol.
  • Evidence for preexisting interstitial lung disease.
  • Participation in another study.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
300 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Acute COVID patients

    Patients in the acute phase of the course of the disease

    Diagnostic Test: Clinical and functional analysis · Diagnostic Test: Neurological analysis · Diagnostic Test: Immunological analysis: · Diagnostic Test: Genetic analysis:

  • Long Covid Patients

    Patients with chronic symptoms after a previous Covid-19 (4-12 weeks)

    Diagnostic Test: Clinical and functional analysis · Diagnostic Test: Neurological analysis · Diagnostic Test: Immunological analysis: · Diagnostic Test: Genetic analysis:

  • Postcovid patients

    Patients with chronic symptoms after a previous Covid-19 (more than 12 weeks)

    Diagnostic Test: Clinical and functional analysis · Diagnostic Test: Neurological analysis · Diagnostic Test: Immunological analysis: · Diagnostic Test: Genetic analysis:

Interventions

  • Diagnostic testClinical and functional analysis

    General blood analysis - Complete blood count on an analyzer with differentiation of 5 classes of cells, the ratio of neutrophils to lymphocytes; Blood chemistry - ALT, AST, total bilirubin, direct, LDH, CRP, alpha-amylase, creatinine, urea, glucose, ferritin, glycosylated hemoglobin, vitamin 25 - OH vitamin D, vitamin B12; Coagulogram - D-dimers, fibrinogen, INR, APTT; Other - NT-pro BNP, Homocysteine, IL 6, Troponin, blood group determination; Linked immunosorbent assay - Determination of IgG and IgM antibodies to SARS-CoV-2 coronavirus (COVID-19) in blood serum, RBD; Functional diagnostics • ECG * EchoCG + strain * CT scan of the lungs * Holter * SMAD * Kidney ultrasound * Ultrasound * Doppler ultrasonography of veins and arteries * Chalder Scale, EQ Questionnaire

    Also known as: Immunological analysis, Genetic analysis

  • Diagnostic testNeurological analysis

    Neurological examination with the isolation of neurological syndromes (motor, cognitive impairments, sleep disorders, asthenic-depressive syndromes, etc.). 2. Neuropsychological methods - research on the scales of anxiety and depression, MMSE, etc. 3. Instrumental method - EEG, polysonography, ultrasound of the neck vessels, CT perfusion. 4. Laboratory research methods: 1. The study of antibodies to some neurospecific antigens - myelin basic protein (MBP), neurospecific enolase (NSE). 2. Study of cellular immunity (CD3 +, CD4 +, CD8 +) and general indicators of humoral immunity (IgG, IgA, IgM, circulating immune complexes).

  • Diagnostic testImmunological analysis:

    A comprehensive immunological analysis will be carried out to determine the level of the immune response. Calculation of the level of CD4 +, CD8 + and NK cells. The level of antibodies of the IgG and IgM classes to the proteins of the coronavirus S1, RBD and N was determined

    Also known as: Multiplex Immunoassay, Immunophenotyping of T-cell and B-cell subpopulations

  • Diagnostic testGenetic analysis:

    Isolation (extraction) of DNA will be performed from whole blood using commercial kits according to the manufacturer's instructions. To analyze a large number of genetic markers, it is planned to carry out genome-wide sequencing followed by analysis of genetic polymorphisms of candidate genes encoding coronavirus receptors and immunological factors.

06

What researchers measure

Primary outcomes

  1. bioinformatic data analysis

    To analyze a large number of genetic markers, it is planned to carry out genome-wide sequencing followed by analysis of genetic polymorphisms of candidate genes encoding coronavirus receptors and immunological factors

    Time frame: 24 months

  2. the level of the immune response

    Calculation of the level of CD4 +, CD8 + and NK cells. The level of antibodies of the IgG and IgM classes to the proteins of the coronavirus S1, RBD and N was determined

    Time frame: 24 months

07

Study locations

1 of 1 sites recruiting
  • National Research Center for Cardiac Surgery
    Astana, 010000, Kazakhstan
    Recruiting
08

References and documents

Publications

  • Soy M, Keser G, Atagunduz P, Tabak F, Atagunduz I, Kayhan S. Cytokine storm in COVID-19: pathogenesis and overview of anti-inflammatory agents used in treatment. Clin Rheumatol. 2020 Jul;39(7):2085-2094. doi: 10.1007/s10067-020-05190-5. Epub 2020 May 30. PubMed 32474885 ↗
  • Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD, Chen J, Luo Y, Guo H, Jiang RD, Liu MQ, Chen Y, Shen XR, Wang X, Zheng XS, Zhao K, Chen QJ, Deng F, Liu LL, Yan B, Zhan FX, Wang YY, Xiao GF, Shi ZL. Addendum: A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020 Dec;588(7836):E6. doi: 10.1038/s41586-020-2951-z. No abstract available. PubMed 33199918 ↗
  • de Wit E, van Doremalen N, Falzarano D, Munster VJ. SARS and MERS: recent insights into emerging coronaviruses. Nat Rev Microbiol. 2016 Aug;14(8):523-34. doi: 10.1038/nrmicro.2016.81. Epub 2016 Jun 27. PubMed 27344959 ↗
  • Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Feb 15;395(10223):496. doi: 10.1016/S0140-6736(20)30252-X. PubMed 31986264 ↗
  • Ragab D, Salah Eldin H, Taeimah M, Khattab R, Salem R. The COVID-19 Cytokine Storm; What We Know So Far. Front Immunol. 2020 Jun 16;11:1446. doi: 10.3389/fimmu.2020.01446. eCollection 2020. PubMed 32612617 ↗
  • Vabret N, Britton GJ, Gruber C, Hegde S, Kim J, Kuksin M, Levantovsky R, Malle L, Moreira A, Park MD, Pia L, Risson E, Saffern M, Salome B, Esai Selvan M, Spindler MP, Tan J, van der Heide V, Gregory JK, Alexandropoulos K, Bhardwaj N, Brown BD, Greenbaum B, Gumus ZH, Homann D, Horowitz A, Kamphorst AO, Curotto de Lafaille MA, Mehandru S, Merad M, Samstein RM; Sinai Immunology Review Project. Immunology of COVID-19: Current State of the Science. Immunity. 2020 Jun 16;52(6):910-941. doi: 10.1016/j.immuni.2020.05.002. Epub 2020 May 6. PubMed 32505227 ↗
  • Liu J, Wu P, Gao F, Qi J, Kawana-Tachikawa A, Xie J, Vavricka CJ, Iwamoto A, Li T, Gao GF. Novel immunodominant peptide presentation strategy: a featured HLA-A*2402-restricted cytotoxic T-lymphocyte epitope stabilized by intrachain hydrogen bonds from severe acute respiratory syndrome coronavirus nucleocapsid protein. J Virol. 2010 Nov;84(22):11849-57. doi: 10.1128/JVI.01464-10. Epub 2010 Sep 15. PubMed 20844028 ↗
  • Henderson LA, Canna SW, Schulert GS, Volpi S, Lee PY, Kernan KF, Caricchio R, Mahmud S, Hazen MM, Halyabar O, Hoyt KJ, Han J, Grom AA, Gattorno M, Ravelli A, De Benedetti F, Behrens EM, Cron RQ, Nigrovic PA. On the Alert for Cytokine Storm: Immunopathology in COVID-19. Arthritis Rheumatol. 2020 Jul;72(7):1059-1063. doi: 10.1002/art.41285. Epub 2020 May 10. PubMed 32293098 ↗
  • Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. Radiology. 2020 Aug;296(2):E41-E45. doi: 10.1148/radiol.2020200343. Epub 2020 Feb 12. PubMed 32049601 ↗
  • Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, Tao Q, Sun Z, Xia L. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020 Aug;296(2):E32-E40. doi: 10.1148/radiol.2020200642. Epub 2020 Feb 26. PubMed 32101510 ↗
  • Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. No abstract available. PubMed 32091533 ↗
  • Li X, Geng M, Peng Y, Meng L, Lu S. Molecular immune pathogenesis and diagnosis of COVID-19. J Pharm Anal. 2020 Apr;10(2):102-108. doi: 10.1016/j.jpha.2020.03.001. Epub 2020 Mar 5. PubMed 32282863 ↗
  • Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, Bi Y, Ma X, Zhan F, Wang L, Hu T, Zhou H, Hu Z, Zhou W, Zhao L, Chen J, Meng Y, Wang J, Lin Y, Yuan J, Xie Z, Ma J, Liu WJ, Wang D, Xu W, Holmes EC, Gao GF, Wu G, Chen W, Shi W, Tan W. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020 Feb 22;395(10224):565-574. doi: 10.1016/S0140-6736(20)30251-8. Epub 2020 Jan 30. PubMed 32007145 ↗
  • Halpin S, O'Connor R, Sivan M. Long COVID and chronic COVID syndromes. J Med Virol. 2021 Mar;93(3):1242-1243. doi: 10.1002/jmv.26587. Epub 2020 Oct 30. No abstract available. PubMed 33034893 ↗
  • Mendelson M, Nel J, Blumberg L, Madhi SA, Dryden M, Stevens W, Venter FWD. Long-COVID: An evolving problem with an extensive impact. S Afr Med J. 2020 Nov 23;111(1):10-12. doi: 10.7196/SAMJ.2020.v111i11.15433. PubMed 33403997 ↗
  • Vink M, Vink-Niese A. Could Cognitive Behavioural Therapy Be an Effective Treatment for Long COVID and Post COVID-19 Fatigue Syndrome? Lessons from the Qure Study for Q-Fever Fatigue Syndrome. Healthcare (Basel). 2020 Dec 11;8(4):552. doi: 10.3390/healthcare8040552. PubMed 33322316 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — all IPD that underlie results in a publication

Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Clinical study report, Analytic code

Time frame: starting 6 months after publication

Access criteria: all types of supporting information will be shared with the interested party within the framework of the legislation of the Republic of Kazakhstan

Data sharing details ↗ · heartcenter.kz

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Jun 2021 (actual). Primary completion is estimated for Dec 2022, 18 months after the start.

Of 1,640 non-industry observational studies under COVID-19, half reached primary completion within 14 months of starting (the median), counting those still running; a quarter within 5 and three quarters within 30. This study's planned 18 months is above that.

Counting every sponsor, half of 1,774 studies reached it within 13 months; a quarter within 5 and three quarters within 29.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 23, 2021
First posted
Aug 3, 2021
StartActual
Jun 1, 2021
Primary completionEst.
Dec 1, 2022
CompletionEst.
Jun 1, 2023
Last update
Aug 3, 2021
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 3, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04987853
Lead sponsor
National Research Center for Cardiac Surgery, Kazakhstan
Collaborators
Nazarbayev University Medical Center
Responsible party
Makhabbat Bekbossynova (Chairman of the Board, National Research Center for Cardiac Surgery, Kazakhstan) — Principal investigator
First posted
Aug 3, 2021
Start date
Jun 1, 2021
Primary completion
Dec 1, 2022 (estimated)
Completion
Jun 1, 2023 (estimated)
Last update
Aug 3, 2021

Study contacts

Makhabbat Sansyzbaeva, PhD, MD
Contact
cardiacsurgeryres@gmail.com
+77055965060 ext. +77172703153
Ainur Tauekelova, MD
Contact
ainuratau@mail.ru
+7 (7172) 703 158
Makhabbat Sansyzbaeva
principal investigator · Chairman of the Board of "National Research Cardiac Surgery Centre" JSC

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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