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1.
Obes Res Clin Pract ; 16(6): 484-490, 2022.
Article in English | MEDLINE | ID: covidwho-2086608

ABSTRACT

OBJECTIVES: We investigated the association between metabolic syndrome (MetS) and mortality among coronavirus disease 2019 (COVID-19) patients in Korea. METHODS: We analyzed 3876 individuals aged ≥ 20 years who were confirmed with COVID-19 from January 1 to June 4, 2020 based on the Korea National Health Insurance Service (NHIS)-COVID-19 database and had undergone health examination by NHIS between 2015 and 2017. Multivariable Cox proportional hazard regression analyses were performed. RESULTS: Of total participants, the prevalence of MetS was 21.0% (n = 815). During 58.6 days of mean follow-up, 3.1 % (n = 120) of the participants died. Compared to individuals without MetS, COVID-19 patients with MetS had a significantly increased mortality risk after adjusting for confounders in total participants (hazard ratio [HR]: 1.68, 95 % confidence interval [CI]: 1.14-2.47) and women (HR: 2.41, 95 % CI: 1.17-4.96). A low high-density lipoprotein cholesterol level in total participants (HR: 1.63, 95 % CI: 1.12-2.37) and hyperglycemia in women (HR: 1.97, 95 % CI: 1.01-3.84) was associated with higher mortality risk. The mortality risk increased as the number of MetS components increased among total participants and women (P for trend = 0.009 and 0.016, respectively). In addition, MetS groups had higher mortality risk in aged ≥ 60 years (HR: 1.60, 95 % CI: 1.07-2.39), and never-smokers (2.08, 1.21-3.59). CONCLUSIONS: The presence of MetS and greater number of its components were associated with increased mortality risks particularly in female patients with COVID-19. Managing MetS may contribute to better outcomes of COVID-19.


Subject(s)
COVID-19 , Metabolic Syndrome , Humans , Female , Metabolic Syndrome/epidemiology , Cohort Studies , COVID-19/complications , Risk Factors , Prevalence
2.
Am J Hypertens ; 34(4): 367-376, 2021 04 20.
Article in English | MEDLINE | ID: covidwho-1003506

ABSTRACT

BACKGROUND: Angiotensin-converting enzyme 2 (ACE2) has been identified as the entry receptor for coronaviruses into human cells, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19). Since hypertension (HT) is a leading comorbidity in non-survivors of COVID-19, we tested for association between ACE2 gene and HT in interaction with specific pre-existing conditions known to be associated with COVID-19 severity. METHODS: Genetic analysis of ACE2 gene was conducted in French-Canadian (FC) and British populations. RESULTS: In FC individuals, the T allele of the single nucleotide polymorphism rs2074192 of ACE2 gene was a risk factor for HT in adult obese males [odds ratio (OR) = 1.39, 95% confidence interval (CI) 1.06-1.83)] and even more so in obese males who smoked (OR = 1.67, CI: 1.24-2.55), but not in lean males, non-smoker males or females. The T allele was significantly associated with severity of HT and with earlier penetrance of HT in obese smoking males. Significant interaction between the T allele and obesity was present in both sexes. The association of ACE2 (rs233575) genotype with blood pressure was also seen in adolescents but the interaction with obesity was present only in females. Several variants in ACE2 gene were found to be associated with HT in obese, smoking males in British individuals of the UK Biobank. In addition, we observed more severe outcomes to COVID-19 in association with ACE2 risk alleles in obese, smoking males. CONCLUSIONS: This is the first report that ACE2 variants are associated with earlier penetrance and more severe HT and with more severe outcomes of COVID-19 in obese smoking males.


Subject(s)
Angiotensin-Converting Enzyme 2/genetics , COVID-19 , Hypertension , Obesity , Adolescent , Blood Pressure/physiology , COVID-19/epidemiology , COVID-19/therapy , Canada/epidemiology , Comorbidity , Female , Genetic Predisposition to Disease , Humans , Hypertension/diagnosis , Hypertension/epidemiology , Hypertension/genetics , Male , Middle Aged , Obesity/diagnosis , Obesity/epidemiology , Obesity/etiology , Polymorphism, Single Nucleotide , SARS-CoV-2/physiology , Severity of Illness Index , Sex Factors , Smoking/epidemiology
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