PMID- 35669157
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 2522-8307 (Electronic)
IS  - 1110-0591 (Print)
IS  - 1110-0591 (Linking)
VI  - 46
IP  - 1
DP  - 2022
TI  - The association between different predictive biomarkers and mortality of 
      COVID-19.
PG  - 158
LID - 10.1186/s42269-022-00844-7 [doi]
LID - 158
AB  - BACKGROUND: Immunocompromised individuals are expected to be more prone to severe 
      diseases and, subsequently, death. Genetic disorders and polymorphisms in genes 
      involved in the immune system, such as human leukocyte antigen (HLA), 
      inflammatory cytokines, and killer-cell immunoglobulin-like receptors, can be 
      involved in the immune system's response to various pathogens. In the current 
      survey, the data were received from the world health organization, collected 
      around the world. RESULTS: Spearman's coefficient correlation test for evaluating 
      the relationship between the Daily Death Rates (DDR) and immunological variables 
      showed a statistically significant correlation between the DDR and all 
      immunological variables except TNFa857T, TNFa863A IL2330G, and IL2166T 
      (P < 0.001). Also, there was a statistically significant correlation between the 
      DDR and some HLA markers. CONCLUSION: This meta-analysis study shows that 
      predictive biomarkers and mortality of COVID-19 are associated with HLA markers. 
      However, these results should be confirmed in a more structured agreement. It is 
      worth noting that the design of new studies should consider potential diseases 
      with poor prognoses because they are related to these immune genetic markers. 
      SUPPLEMENTARY INFORMATION: The online version contains supplementary material 
      available at 10.1186/s42269-022-00844-7.
CI  - (c) The Author(s) 2022.
FAU - Ansari, Narges
AU  - Ansari N
AD  - Department of Internal Medicine, Isfahan Bone Metabolic Disorders Research 
      Center, School of Medicine, Isfahan University of Medical Sciences, Isfahan, 
      Iran. GRID: grid.411036.1. ISNI: 0000 0001 1498 685X
FAU - Jahangiri, Mina
AU  - Jahangiri M
AD  - Department of Biostatistics and Epidemiology, Faculty of Health, Ahvaz 
      Jundishapur University of Medical Sciences, Ahvaz, Iran. GRID: grid.411230.5. 
      ISNI: 0000 0000 9296 6873
FAU - Shirbandi, Kimia
AU  - Shirbandi K
AD  - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. GRID: 
      grid.411230.5. ISNI: 0000 0000 9296 6873
FAU - Ebrahimi, Mina
AU  - Ebrahimi M
AD  - Thalassemia and Hemoglobinopathy Research Centre, Ahvaz Jundishapur University of 
      Medical Sciences, Ahvaz, Iran. GRID: grid.411230.5. ISNI: 0000 0000 9296 6873
AD  - Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, 
      Ahvaz, Iran. GRID: grid.411230.5. ISNI: 0000 0000 9296 6873
FAU - Rahim, Fakher
AU  - Rahim F
AUID- ORCID: 0000-0002-2857-4562
AD  - Thalassemia and Hemoglobinopathy Research Centre, Ahvaz Jundishapur University of 
      Medical Sciences, Ahvaz, Iran. GRID: grid.411230.5. ISNI: 0000 0000 9296 6873
LA  - eng
PT  - Journal Article
DEP - 20220531
PL  - Germany
TA  - Bull Natl Res Cent
JT  - Bulletin of the National Research Centre
JID - 101755158
PMC - PMC9152825
OTO - NOTNLM
OT  - Biomarker
OT  - COVID-19
OT  - HLA
OT  - Polymorphism
COIS- Competing interestsThe authors declare that they have no competing interests.
EDAT- 2022/06/08 06:00
MHDA- 2022/06/08 06:01
PMCR- 2022/05/31
CRDT- 2022/06/07 02:26
PHST- 2021/11/11 00:00 [received]
PHST- 2022/05/13 00:00 [accepted]
PHST- 2022/06/07 02:26 [entrez]
PHST- 2022/06/08 06:00 [pubmed]
PHST- 2022/06/08 06:01 [medline]
PHST- 2022/05/31 00:00 [pmc-release]
AID - 844 [pii]
AID - 10.1186/s42269-022-00844-7 [doi]
PST - ppublish
SO  - Bull Natl Res Cent. 2022;46(1):158. doi: 10.1186/s42269-022-00844-7. Epub 2022 
      May 31.