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Association of comorbidities with COVID-19 infection rate and severity: nationwide cohort study with propensity score matching
Jiyong Kim; Seong Hun Park; Jong Moon Kim.
Afiliação
  • Jiyong Kim; Inje University Ilsanpaik Hospital, Goyang, Republic of Korea
  • Seong Hun Park; Medical statistics company WIO
  • Jong Moon Kim; CHA Bundang Medical Center, CHA University
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21263946
ABSTRACT
OO_SCPLOWBJECTIVEC_SCPLOWTo describe the association of comorbidities with coronavirus infection-19 (COVID-19) infection rates and severity of infection through Korean nationwide medical system. DO_SCPLOWESIGNC_SCPLOWNationwide population-based retrospective cohort study. SO_SCPLOWETTINGC_SCPLOWKorean national health insurance claims database between January 1, 2020, and May 30, 2020. PO_SCPLOWARTICIPANTSC_SCPLOWPatients with positive COVID-19 test and 12 folded controls matched by age, sex and region. MO_SCPLOWAINC_SCPLOW OO_SCPLOWUTCOMESC_SCPLOW MO_SCPLOWEASURESC_SCPLOWOutcomes were confirmation of the comorbidities affecting the infection rate and the severity of COVID-19. Patients and outcomes were propensity score matching of factors which may affect COVID-19 infection rate and severity was performed. COVID-19 infections were confirmed through laboratory testing. Severe infection was defined as those who underwent tracheostomy, continuous renal replacement therapy, intensive care unit admission, ventilator use, cardiopulmonary resuscitation, or died. RO_SCPLOWESULTSC_SCPLOWA total of 8070 individuals with positive covid-19 test and 12015 controls were identified. In people aged 60 or older, in those insured with Medicaid, and in the disabled, the proportion corresponding to the severe group of patients showed a tendency to increase. The infection rate of COVID-19 was highest in pulmonary disease (adjusted odds ratio 1.88, 95% confidence interval 1.70 to 2.03), and hyperlipidemia (0.73, 0.67 to 0.80) had a lower infection rate. Disease severity was highest in kidney disease (5.59, 2.48 to 12.63), and lower in hyperlipidemia (0.78, 0.60 to 1.00). CO_SCPLOWONCLUSIONSC_SCPLOWThere is less bias as the government pays for all tests and treatments related to COVID-19 included in the data used in this study. Using propensity matching to reduce statistical bias, we found that most comorbidities increased the infection rate and severity of COVID-19, whereas hyperlipidemia reduced the rate and severity of infection. These results can be utilized to effectively manage COVID-19 infections.
Licença
cc_by_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
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