11 research outputs found
Datasheet1_Evaluating the impact of sickle cell disease on COVID-19 susceptibility and severity: a retrospective cohort study based on electronic health record.docx
BackgroundSickle cell trait/disease (SCT/SCD) are enriched among Black people and associated with various comorbidities. The overrepresentation of these characteristics prevents traditional regression approach obtaining convincing evidence for the independent effect of SCT/SCD on other health outcomes. This study aims to investigate the association between SCT/SCD and COVID-19-related outcomes using causal inference approaches that balance the covariate.MethodsWe leveraged electronic health record (EHR) data from the University of Chicago Medicine between March 2020 and December 2021. Demographic characteristics were retrieved. Medical conditions were identified using ICD-10 codes. Five approaches, including two traditional regression approaches (unadjusted and adjusted) and three causal inference approaches [covariate balancing propensity score (CBPS) matching, CBPS weighting, and CBPS adjustment], were employed.ResultsA total of 112,334 patients were included in the study, among which 504 had SCT and 388 SCD. Patients with SCT/SCD were more likely to be non-Hispanic Black people, younger, female, non-smokers, and had a diagnosis of diabetes, heart failure, asthma, and cerebral infarction. Causal inference approaches achieved a balanced distribution of these covariates while traditional approaches failed. Across these approaches, SCD was consistently associated with COVID-19-related pneumonia (odds ratios (OR) estimates, 3.23 (95% CI: 2.13–4.89) to 2.57 (95% CI: 1.10–6.00)) and pain (OR estimates, 6.51 (95% CI: 4.68–9.06) to 2.47 (95% CI: 1.35–4.49)). While CBPS matching suggested an association between SCD and COVID-19-related acute respiratory distress syndrome (OR = 2.01, 95% CI: 0.97–4.17), this association was significant in other approaches (OR estimates, 2.96 (95% CI: 1.69–5.18) to 2.50 (95% CI: 1.43–4.37)). No association was observed between SCT and COVID-19-related outcomes in causal inference approaches.ConclusionUsing causal inference approaches, we provide comprehensive evidence for the link between SCT/SCD and COVID-19-related outcomes.</p
SNPs with number of pregnancies number of children (linear) or extreme number children (≥6 compared to ≤1) in Bangladeshi women (p<1X10–5) for entire study population and excluding hormonal contraceptive users.
<p>SNPs with number of pregnancies number of children (linear) or extreme number children (≥6 compared to ≤1) in Bangladeshi women (p<1X10–5) for entire study population and excluding hormonal contraceptive users.</p
Genome-wide SNP association signals for number of pregnancies (a) number of children (b) and ≥6 vs. ≤1 children (c) for overall study population (N = 1,686).
<p>Genome-wide SNP association signals for number of pregnancies (a) number of children (b) and ≥6 vs. ≤1 children (c) for overall study population (N = 1,686).</p
Locuszoom plots of SNPs rs10009124, rs7775534, and rs696888.
<p>Locuszoom plots of SNPs rs10009124, rs7775534, and rs696888.</p
Quantile-quantile (Q-Q) plot for number of pregnancies (a) number of children (b) and ≥6 vs. ≤1 children for overall study population (N = 1,686).
<p>Quantile-quantile (Q-Q) plot for number of pregnancies (a) number of children (b) and ≥6 vs. ≤1 children for overall study population (N = 1,686).</p
Characteristics of the 1,686 women included in GWAS analyses.
<p>Characteristics of the 1,686 women included in GWAS analyses.</p
Associations between tertiles of steamed rice intake and urinary arsenic measures for total population.
<p>Multivariate models adjusted for sex, age, study cohort, BMI, total water intake, skin lesion status, rice consumption(yes/no), water arsenic, education length and smoking status </p>*<p>multivariate model also adjusted for urinary creatinine</p
Associations between steamed rice intake and urinary arsenic measures, stratified by sex and water arsenic intake for overall cohort (N=18,470) and subset with urinary arsenic metabolites data (N=4,517).
<p>Multivariate models adjusted for sex, age, BMI,study cohort, total water intake, skin lesion status, water arsenic, education length, and smoking status</p>*<p>models additionally adjusted for urinary creatinine</p>**<p>Estimates are per standard deviation increase in rice intake</p
Associations between steamed rice intake and prevalent and incident skin lesions, stratified by well water arsenic concentration (N=18,740).
<p>Adjusted for water arsenic, age, energy intake, education length, BMI, gender, smoking status, and study cohort.</p
Participant characteristics for Overall Population.
*<p>urinary total arsenic cutpoints were determined by tertiles of study population</p>**<p>steamed rice consumption cutpoints determined by distribution of consumption in total study population</p