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1.
Thorax ; 76(9): 939-941, 2021 09.
Article in English | MEDLINE | ID: covidwho-1158124

ABSTRACT

Non-pharmaceutical interventions (NPIs) have been widely implemented to mitigate the spread of COVID-19. We assessed the effect of NPIs on hospitalisations for pneumonia, influenza, COPD and asthma. This retrospective, ecological study compared the weekly incidence of hospitalisation for four respiratory conditions before (January 2016-January 2020) and during (February-July 2020) the implementation of NPI against COVID-19. Hospitalisations for all four respiratory conditions decreased substantially during the intervention period. The cumulative incidence of admissions for COPD and asthma was 58% and 48% of the mean incidence during the 4 preceding years, respectively.


Subject(s)
Asthma/epidemiology , COVID-19/prevention & control , Influenza, Human/epidemiology , Patient Admission/statistics & numerical data , Pulmonary Disease, Chronic Obstructive/epidemiology , Administrative Claims, Healthcare/statistics & numerical data , Humans , Republic of Korea/epidemiology , Retrospective Studies , SARS-CoV-2
2.
Endocrinol Metab (Seoul) ; 36(1): 196-200, 2021 02.
Article in English | MEDLINE | ID: covidwho-1121720

ABSTRACT

Although obesity is a risk factor for infection, whether it has the same effect on coronavirus disease 2019 (COVID-19) need confirming. We conducted a retrospective propensity score matched case-control study to examine the association between obesity and COVID-19. This study included data from the Nationwide COVID-19 Registry and the Biennial Health Checkup database, until May 30, 2020. We identified 2,231 patients with confirmed COVID-19 and 10-fold-matched negative test controls. Overweight (body mass index [BMI] 23 to 24.9 kg/m2; adjusted odds ratio [aOR], 1.16; 95% confidence interval [CI], 1.1.03 to 1.30) and class 1 obesity (BMI 25 to 29.9 kg/m2; aOR, 1.27; 95% CI, 1.14 to 1.42) had significantly increased COVID-19 risk, while classes 2 and 3 obesity (BMI ≥30 kg/m2) showed similar but non-significant trend. Females and those <50 years had more robust association pattern. Overweight and obesity are possible risk factors of COVID-19.


Subject(s)
COVID-19/epidemiology , COVID-19/etiology , Obesity/virology , Overweight/virology , SARS-CoV-2 , Adult , Aged , Body Mass Index , COVID-19/virology , COVID-19 Testing/statistics & numerical data , Case-Control Studies , Databases, Factual , Female , Humans , Male , Middle Aged , Obesity/physiopathology , Odds Ratio , Overweight/physiopathology , Propensity Score , Registries , Risk Factors , Young Adult
3.
Int J Infect Dis ; 104: 7-14, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-988031

ABSTRACT

OBJECTIVES: Concerns have been expressed that some drugs may increase susceptibility to SARS-CoV-2 infection. In contrast, other drugs have generated interest as potential therapeutic agents. METHODS: All adults aged ≥18 years who were tested for COVID-19 were included. Exposure was defined as a prescription of study drugs which would have been continued until 7 days prior to test for COVID-19 or later. The outcome measures were the diagnosis of COVID-19 and severe COVID-19. Disease risk score matching and multiple logistic regression was used. RESULTS: Matched claims and testing results were available for 219,961 subjects, of whom 7,341 (3.34%) were diagnosed with COVID-19. Patients were matched to 36,705 controls, and the subset of 878 patients of severe COVID-19 also matched with 1,927 mild-to-moderate patients. Angiotensin receptor blockers were not associated with either the diagnosis of COVID-19 (adjusted OR [aOR], 1.02; 95% confidence interval [CI], 0.90-1.15) or severe disease (aOR, 1.11; 95% CI, 0.87-1.42). The use of hydroxychloroquine was not associated with a lower risk for COVID-19 (aOR, 0.94; 95% CI, 0.53-1.66) or severe disease (aOR, 3.51; 95% CI, 0.76-16.22). CONCLUSIONS: In this national claims data-based case-control study, no commonly prescribed medications were associated with risk of COVID-19 infection or COVID-19 severity.


Subject(s)
COVID-19/etiology , SARS-CoV-2 , Adult , Aged , Angiotensin Receptor Antagonists/adverse effects , Disease Susceptibility , Female , Humans , Hydroxychloroquine/adverse effects , Logistic Models , Male , Middle Aged , Retrospective Studies , Risk Factors , Severity of Illness Index
4.
Diabetes Res Clin Pract ; 170: 108515, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-885245

ABSTRACT

AIMS: This study aimed to assess whether body mass index (BMI), fasting plasma glucose (FPG) levels, blood pressure (BP), and kidney function were associated with the risk of severe disease or death in patients with COVID-19. METHODS: Data on candidate risk factors were extracted from patients' last checkup records. Propensity score-matched cohorts were constructed, and logistic regression models were used to adjust for age, sex, and comorbidities. The primary outcome was death or severe COVID-19, defined as requiring supplementary oxygen or higher ventilatory support. RESULTS: Among 7,649 patients with confirmed COVID-19, 2,231 (29.2%) received checkups and severe COVID-19 occurred in 307 patients (13.8%). A BMI of 25.0-29.9 was associated with the outcome among women (aOR, 2.29; 95% CI, 1.41-3.73) and patients aged 50-69 years (aOR, 1.64; 95% CI, 1.06-2.54). An FPG ≥ 126 mg/dL was associated with poor outcomes in women (aOR, 2.06; 95% CI, 1.13-3.77) but not in men. Similarly, estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 was a risk factor in women (aOR, 3.46; 95% CI, 1.71-7.01) and patients aged < 70 years. CONCLUSIONS: The effects of BMI, FPG, and eGFR on outcomes associated with COVID-19 were prominent in women but not in men.


Subject(s)
Blood Glucose/metabolism , Blood Pressure Determination/methods , COVID-19/complications , Kidney Function Tests/methods , Obesity/complications , SARS-CoV-2/pathogenicity , Sex Characteristics , Adult , Aged , Aged, 80 and over , Body Mass Index , Female , Humans , Male , Middle Aged , Retrospective Studies , Risk Factors , Young Adult
5.
J Korean Med Sci ; 35(25): e237, 2020 Jun 29.
Article in English | MEDLINE | ID: covidwho-619680

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is an emerging threat worldwide. It remains unclear how comorbidities affect the risk of infection and severity of COVID-19. METHODS: This is a nationwide retrospective case-control study of 219,961 individuals, aged 18 years or older, whose medical costs for COVID-19 testing were claimed until May 15, 2020. COVID-19 diagnosis and infection severity were identified from reimbursement data using diagnosis codes and on the basis of respiratory support use, respectively. Odds ratios (ORs) were estimated using multiple logistic regression, after adjusting for age, sex, region, healthcare utilization, and insurance status. RESULTS: The COVID-19 group (7,341 of 219,961) was young and had a high proportion of female. Overall, 13.0% (954 of 7,341) of the cases were severe. The severe COVID-19 group had older patients and a proportion of male ratio than did the non-severe group. Diabetes (odds ratio range [ORR], 1.206-1.254), osteoporosis (ORR, 1.128-1.157), rheumatoid arthritis (ORR, 1.207-1.244), substance use (ORR, 1.321-1.381), and schizophrenia (ORR, 1.614-1.721) showed significant association with COVID-19. In terms of severity, diabetes (OR, 1.247; 95% confidential interval, 1.009-1.543), hypertension (ORR, 1.245-1.317), chronic lower respiratory disease (ORR, 1.216-1.233), chronic renal failure, and end-stage renal disease (ORR, 2.052-2.178) were associated with severe COVID-19. CONCLUSION: We identified several comorbidities associated with COVID-19. Health care workers should be more careful while diagnosing and treating COVID-19 when patients have the abovementioned comorbidities.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/pathology , Pneumonia, Viral/epidemiology , Pneumonia, Viral/pathology , Severity of Illness Index , Adolescent , Adult , Aged , Aged, 80 and over , Arthritis, Rheumatoid/epidemiology , Betacoronavirus , COVID-19 , COVID-19 Testing , Case-Control Studies , Clinical Laboratory Techniques , Comorbidity , Coronavirus Infections/diagnosis , Female , Humans , Hypertension/epidemiology , Kidney Failure, Chronic/epidemiology , Male , Middle Aged , Osteoporosis/epidemiology , Pandemics , Republic of Korea/epidemiology , Retrospective Studies , SARS-CoV-2 , Schizophrenia/epidemiology , Substance-Related Disorders/epidemiology , Young Adult
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