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1.
Global Health ; 18(1): 58, 2022 06 08.
Article in English | MEDLINE | ID: covidwho-2038812

ABSTRACT

BACKGROUND: Apart from infecting a large number of people around the world and causing the death of many people, the COVID-19 pandemic seems to have changed the healthcare processes of other diseases by changing the allocation of health resources and changing people's access or intention to healthcare systems. OBJECTIVE: To compare the incidence of endpoints marking delayed healthcare seeking in medical emergencies, before and during the pandemic. METHODS: Based on a PICO model, medical emergency conditions that need timely intervention was selected to be evaluated as separate panels. In a systematic literature review, PubMed was quarried for each panel for studies comparing the incidence of various medical emergencies before and during the COVID-19 pandemic. Markers of failure/disruption of treatment due to delayed referral were included in the meta-analysis for each panel. RESULT: There was a statistically significant increased pooled median time of symptom onset to admission of the acute coronary syndrome (ACS) patients; an increased rate of vasospasm of aneurismal subarachnoid hemorrhage; and perforation rate in acute appendicitis; diabetic ketoacidosis presentation rate among Type 1 Diabetes Mellitus patients; and rate of orchiectomy among testicular torsion patients in comparison of pre-COVID-19 with COVID-19 cohorts; while there were no significant changes in the event rate of ruptured ectopic pregnancy and median time of symptom onset to admission in the cerebrovascular accident (CVA) patients. CONCLUSIONS: COVID-19 has largely disrupted the referral of patients for emergency medical care and patient-related delayed care should be addressed as a major health threat.


Subject(s)
COVID-19 , COVID-19/epidemiology , Delivery of Health Care , Emergencies , Humans , Pandemics , Retrospective Studies , SARS-CoV-2
2.
Int J Biol Macromol ; 177: 204-210, 2021 Apr 30.
Article in English | MEDLINE | ID: covidwho-1077919

ABSTRACT

BACKGROUND: Given the observed olfactory and gustatory dysfunctions in patients with COVID-19 and recent findings on taste receptors possible important activities in the immune system, we elected to estimate the correlation between COVID-19 mortality and polymorphism of a particular type of bitter taste receptor gene called TAS2R38, in a worldwide epidemiological point of view. METHODS: Pooled rate of each of the rs713598, rs1726866, rs10246939, and PAV/AVI polymorphisms of the TAS2R38 gene was obtained in different countries using a systematic review methodology and its relationship with the mortality of COVID-19. Data were analyzed by the comprehensive meta-analysis software and SPSS. RESULTS: There was only a significant reverse Pearson correlation in death counts and PAV/AVI ratio, p = 0.047, r = -0.503. Also, a significant reverse correlation of PAV/AVI ratio and death rate was seen, r = -0.572 p = 0.021. rs10246939 ratio had a significant positive correlation with death rate, r = 0.851 p = 0.031. Further analysis was not significant. Our results showed that the higher presence of PAV allele than AVI, and a higher rate of G allele than A in rs10246939 polymorphism in a country, could be associated with lower COVID-19 mortality. While assessing all three polymorphisms showed a huge diversity worldwide. CONCLUSION: Due to extraoral activities of bitter taste receptor genes, especially in mucosal immunity, this gene seems to be a good candidate for future studies on COVID-19 pathophysiology. Also, the high worldwide diversity of TAS2R38 genes polymorphism and its possible assassination with mortality raises concerns about the efficiency of vaccine projects in different ethnicities.


Subject(s)
COVID-19/genetics , COVID-19/mortality , Polymorphism, Single Nucleotide , Receptors, G-Protein-Coupled/genetics , Taste/genetics , Alleles , Correlation of Data , Databases, Factual , Genetic Association Studies , Genetic Predisposition to Disease , Genotype , Humans
3.
Endocrine ; 68(3): 479-484, 2020 06.
Article in English | MEDLINE | ID: covidwho-598767

ABSTRACT

With the emergence of the Novel Coronavirus (2019-nCoV), researchers worldwide have started detecting the probable pathogenesis of the disease. The renin-angiotensin system (RAS) and angiotensin-converting enzymes have received a good deal of attention as possible pathways involved in 2019-nCoV pathogenesis. As the experiments seeking to find potential medications acting on these pathways are being conducted in the early phases, having an ecological worldview on the relationship between the prevalence of COVID-19 disease and the genetic differences in the genes involved in the RAS system could be valuable for the field. In this regard, we conducted a meta-analysis study of the prevalence of ACE (I/D) genotype in countries most affected by the COVID-19. In the meta-analysis, 48,758 healthy subjects from 30 different countries were evaluated in 116 studies, using the Comprehensive Meta-analysis software. The I/D allele frequency ratio was pooled by a random-effect model. The COVID-19 prevalence data of death and recovery rates were evaluated as the latitudes for the meta-regression analysis. Our results demonstrated that with the increase of the I/D allele frequency ratio, the recovery rate significantly increased (point estimate: 0.48, CI 95%: 0.05-0.91, p = 0.027). However, there was no significant difference in the case of death rate (point estimate: 1.74, CI 95%: 4.5-1.04, p = 0.22). This ecological perspective coupled with many limitations does not provide a direct clinical relevance between the COVID-19 and RAS system, but it shows potential pathophysiological associations. Our results raise concerns about ethnic and genetic differences that could affect the effectiveness of the currently investigated RAS-associated medications in different regions.


Subject(s)
Betacoronavirus , Coronavirus Infections/genetics , Peptidyl-Dipeptidase A/genetics , Pneumonia, Viral/genetics , Polymorphism, Genetic/genetics , Renin-Angiotensin System/genetics , Angiotensin-Converting Enzyme 2 , COVID-19 , Coronavirus Infections/epidemiology , Gene Frequency , Genetic Predisposition to Disease , Humans , Pandemics , Pneumonia, Viral/epidemiology , SARS-CoV-2
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