bims-covirf Biomed News
on COVID19 risk factors
Issue of 2021‒06‒27
three papers selected by
Catherine Rycroft
BresMed


  1. JAMA Pediatr. 2021 Jun 21.
      Importance: Although children mainly experience mild COVID-19 disease, hospitalization rates are increasing, with limited understanding of underlying factors. There is an established association between race and severe COVID-19 outcomes in adults in England; however, whether a similar association exists in children is unclear.Objective: To investigate the association between race and childhood COVID-19 testing and hospital outcomes.
    Design, Setting, Participants: In this cohort study, children (0-18 years of age) from participating family practices in England were identified in the QResearch database between January 24 and November 30, 2020. The QResearch database has individually linked patients with national SARS-CoV-2 testing, hospital admission, and mortality data.
    Exposures: The main characteristic of interest is self-reported race. Other exposures were age, sex, deprivation level, geographic region, household size, and comorbidities (asthma; diabetes; and cardiac, neurologic, and hematologic conditions).
    Main Outcomes and Measures: The primary outcome was hospital admission with confirmed COVID-19. Secondary outcomes were SARS-CoV-2-positive test result and any hospital attendance with confirmed COVID-19 and intensive care admission.
    Results: Of 2 576 353 children (mean [SD] age, 9.23 [5.24] years; 48.8% female), 410 726 (15.9%) were tested for SARS-CoV-2 and 26 322 (6.4%) tested positive. A total of 1853 children (0.07%) with confirmed COVID-19 attended hospital, 343 (0.01%) were admitted to the hospital, and 73 (0.002%) required intensive care. Testing varied across race. White children had the highest proportion of SARS-CoV-2 tests (223 701/1 311 041 [17.1%]), whereas Asian children (33 213/243 545 [13.6%]), Black children (7727/93 620 [8.3%]), and children of mixed or other races (18 971/147 529 [12.9%]) had lower proportions. Compared with White children, Asian children were more likely to have COVID-19 hospital admissions (adjusted odds ratio [OR], 1.62; 95% CI, 1.12-2.36), whereas Black children (adjusted OR, 1.44; 95% CI, 0.90-2.31) and children of mixed or other races (adjusted OR, 1.40; 95% CI, 0.93-2.10) had comparable hospital admissions. Asian children were more likely to be admitted to intensive care (adjusted OR, 2.11; 95% CI, 1.07-4.14), and Black children (adjusted OR, 2.31; 95% CI, 1.08-4.94) and children of mixed or other races (adjusted OR, 2.14; 95% CI, 1.25-3.65) had longer hospital admissions (≥36 hours).
    Conclusions and Relevance: In this large population-based study exploring the association between race and childhood COVID-19 testing and hospital outcomes, several race-specific disparities were observed in severe COVID-19 outcomes. However, ascertainment bias and residual confounding in this cohort study should be considered before drawing any further conclusions. Overall, findings of this study have important public health implications internationally.
    DOI:  https://doi.org/10.1001/jamapediatrics.2021.1685
  2. Clin Endocrinol (Oxf). 2021 Jun 23.
      BACKGROUND: We sought to evaluate the association between vitamin D deficiency and severity of COVID-19 infection.METHODS: Multiple databases from January 1st, 2019 to December 3rd , 2020 were searched for observational studies evaluating the association between vitamin D deficiency and severity of COVID-19 infection. Independent reviewers selected studies and extracted data for the review. The main outcomes of interest were mortality, hospital admission, length of hospital stay and intensive care unit admission.
    RESULTS: 17 observational studies with 2,756 patients were included in the analyses. Vitamin D deficiency was associated with significantly higher mortality (OR: 2.47, 95% CI: 1.50 to 4.05; 12 studies; HR: 4.11, 95% CI: 2.40 to 7.04; 3 studies), higher rates of hospital admissions (OR: 2.18, 95% CI: 1.48 to 3.21; 3 studies); and longer hospital stays (0.52 days; 95% CI: 0.25 to 0.80; 2 studies) as compared to non-vitamin D deficient status. Subgroup analyses based on different cut offs for defining vitamin D deficiency, study geographic locations and latitude also showed similar trends.
    CONCLUSIONS: Vitamin D deficiency is associated with greater severity of COVID-19 infection. Further studies are warranted to determine if vitamin D supplementation can decrease severity of COVID-19. This article is protected by copyright. All rights reserved.
    Keywords:  COVID-19; Vitamin D; hospital admission; mortality
    DOI:  https://doi.org/10.1111/cen.14540
  3. J Infect Public Health. 2021 Jun 17. pii: S1876-0341(21)00166-0. [Epub ahead of print]14(8): 1028-1034
      INTRODUCTION: An unidentified cluster of pneumonia was identified in Wuhan city of China in the last week of December 2019, named Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COV-2). The current study explored the predictors associated with critical illness and mortality based on symptoms at the time of admission and initial physical examination findings in patients with SARS-CoV-2.MATERIAL AND METHODS: A total of 249 records of laboratory-confirmed SARS-COV-2 patients were analyzed. Demographic profile and findings of initial physical examination were collected and analyzed. Bivariate logistic and multivariable stepwise forward regression analysis was used to identify the predictors of critical illness and mortality.
    RESULTS: A total of 249 records of SARS-COV-2 patients were retrospectively studied, of whom 66 (26.5%) developed a critical illness, and 58 (23.29%) died. The mean age of patients was 45.15 (16.34) years; 171 (68.71%) were men. From 27 potential predictors for developing a critical illness, 15 were reported independent predictors for critical illness, and 13 were for increased risk of mortality. Stepwise forward regression reported dyspnea as a single strongest predictor (OR, 5.800, 95% CI-2.724-12.346; p = 0.001, R2 = 0.272) to develop critical illness. Likewise, the respiratory rate was alone reported as a strong predictor (OR, 1.381, 95% CI- 1.251-1.525; p = 0.000, R2 = 0.329) for mortality.
    CONCLUSIONS: Coronavirus disease is a new challenge to the medical fraternity, leading to significant morbidity and mortality. Knowledge of potential risk factors could help clinicians assess patients' risk with unfavourable outcomes and improve hospitalization decisions in the early stage.
    Keywords:  Critical; Mortality; Predictor; Risk factors; SARS-CoV-2
    DOI:  https://doi.org/10.1016/j.jiph.2021.06.010