Demographic data in COVID 19 patients

Mohammed, Alaa Hamid; sharkawy, Esmat El; Saber, Manal Mohamed; Zaki, Zaki

doi:10.21608/mjmr.2022.150649.1124

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Fever, coughing, and dyspnea were mostly the prominent presentations in patients during the third pandemic wave. Tese observations were supported by other studies [30][31][32].…”

Section: Discussionsupporting

confidence: 83%

Angiotensin-Converting Enzyme-2 (ACE-2) with Interferon-Induced Transmembrane Protein-3 (IFITM-3) Genetic Variants and Interleukin-6 as Severity and Risk Predictors among COVID-19 Egyptian Population

Makled,

Ali,

Eldahdouh

et al. 2023

International Journal of Microbiology

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Introduction. The host genetic background is a crucial factor that underlies the interindividual variability of COVID-19 fatality and outcomes. Angiotensin-converting enzyme-2 (ACE-2) and interferon-induced transmembrane protein-3 (IFITM-3) have a key role in viral cell entrance and priming. The evoked immune response will also provide a predictive prognosis for COVID-19 infection. This study aimed to explore the association between ACE-2 and IFITM-3 genotypes and their corresponding allele frequencies with disease severity indices in the Egyptian COVID-19 population. The serum level of interleukin-6, as a biomarker of hyperinflammatory response, and cytokine storm, was correlated with disease progression, single nucleotide polymorphisms (SNPs) of the selected receptors, and treatment response. Methodology. We enrolled 900 COVID-19-confirmed cases and 100 healthy controls. Genomic DNA was extracted from 200 subjects (160 patients selected based on clinical and laboratory data and 40 healthy controls). The ACE-2 rs2285666 and IFITM-3 rs12252 SNPs were genotyped using the TaqMan probe allelic discrimination assay, and the serum IL-6 level was determined by ELISA. Logistic regression analysis was applied to analyze the association between ACE-2 and IFITM-3 genetic variants, IL-6 profile, and COVID-19 severity. Results. The identified genotypes and their alleles were significantly correlated with COVID-19 clinical deterioration as follows: ACE2 rs2285666 CT + TT, odds ratio (95% confidence interval): 12.136 (2.784–52.896) and IFITM-3 rs12252 AG + GG: 17.276 (3.673–81.249), both p<0.001. Compared to the controls, the heterozygous and mutant genotypes for both SNPs were considerable risk factors for increased susceptibility to COVID-19. IL-6 levels were significantly correlated with disease progression (p<0.001). Conclusion. ACE-2 and IFITM-3 genetic variants are potential predictors of COVID-19 severity, critical outcomes, and post-COVID-19 complications. Together, these SNPs and serum IL-6 levels explain a large proportion of the variability in the severity of COVID-19 infection and its consequences among Egyptian subjects.

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“…Fever, coughing, and dyspnea were mostly the prominent presentations in patients during the third pandemic wave. Tese observations were supported by other studies [30][31][32].…”

Section: Discussionsupporting

confidence: 83%

Angiotensin-Converting Enzyme-2 (ACE-2) with Interferon-Induced Transmembrane Protein-3 (IFITM-3) Genetic Variants and Interleukin-6 as Severity and Risk Predictors among COVID-19 Egyptian Population

Makled,

Ali,

Eldahdouh

et al. 2023

International Journal of Microbiology

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“…Hasil penelitian (12)(13)(14) melaporkan hal yang sama yaitu pasien COVID-19 yang berjenis kelamin laki-laki lebih banyak dibandingkan Perempuan. Hasil berbeda dilaporakan (15) menyebutkan bahwa jumlah pasien COVID-19 laki-laki sama banyak dengan pasien Perempuan. Perbedaan hasil ini mungkin saja bergantung pada populasi yang diuji.…”

Section: Diskusi Karakteristik Demografi Sampelunclassified

Identifikasi Bakteri Dari Sampel Darah Pasien COVID-19 Di RSUD Ciawi Kabupaten Bogor

Safari,

Wardhiati,

Dewi

2024

J Medlabres

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Coronavirus Disease 2019 (COVID-19) is a disease caused by the Severe Acute Respiratory Syndrome Corona Virus 2 virus called SARSCov-2, this virus attacks the respiratory tract and creates a risk of infection in COVID-19 patients. Bacterial infections are known to complicate viral infections of the respiratory tract and are associated with worsening conditions in COVID-19 patients. The aim of this research is to identify bacteria from blood samples of COVID-19 patients at Ciawi Hospital, Bogor Regency. This type of research is quantitative descriptive which describes the types of bacteria from blood samples from COVID-19 patients. The samples in this study were patients who were confirmed (PCR) positive for COVID-19 who underwent blood culture microbiology examinations at Ciawi Regional Hospital. Data collection was carried out using the documentation study method. The research results showed that of the 243 COVID-19 patients who underwent blood culture examination, 63 samples showed positive results. In blood culture from 63 positive samples, 51 samples (80.9%) found Gram positive bacteria consisting of: S. hominis, S. haemolyticus, S. epidermidis, S. cohnii ureal, S. aureus, S. warneri and E. faecalis. There were 12 Gram Negative bacteria in blood culture (19.1%) consisting of A. baumannii, E. coli, Pseudomonas sp, K. pneumoniae, S. paucimobilis and E. aerogenes.

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Demographic data in COVID 19 patients

Cited by 2 publications

References 2 publications

Angiotensin-Converting Enzyme-2 (ACE-2) with Interferon-Induced Transmembrane Protein-3 (IFITM-3) Genetic Variants and Interleukin-6 as Severity and Risk Predictors among COVID-19 Egyptian Population

Angiotensin-Converting Enzyme-2 (ACE-2) with Interferon-Induced Transmembrane Protein-3 (IFITM-3) Genetic Variants and Interleukin-6 as Severity and Risk Predictors among COVID-19 Egyptian Population

Identifikasi Bakteri Dari Sampel Darah Pasien COVID-19 Di RSUD Ciawi Kabupaten Bogor

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