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Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients

Mendy et al., medRxiv, doi:10.1101/2020.06.25.20137323
Jun 2020  
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Mortality 7% Improvement Relative Risk Death/ICU 17% ICU admission 55% Hospitalization 15% Vitamin D for COVID-19  Mendy et al.  Sufficiency Are vitamin D levels associated with COVID-19 outcomes? Retrospective 689 patients in the USA Lower death/ICU (p=0.001) and ICU admission (p=0.008) c19early.org Mendy et al., medRxiv, June 2020 Favorsvitamin D Favorscontrol 0 0.5 1 1.5 2+
Vitamin D for COVID-19
8th treatment shown to reduce risk in October 2020
 
*, now with p < 0.00000000001 from 122 studies, recognized in 9 countries.
No treatment is 100% effective. Protocols combine treatments. * >10% efficacy, ≥3 studies.
4,500+ studies for 81 treatments. c19early.org
Retrospective 689 patients showing vitamin D deficiency associated with hospitalization and disease severity.
This is the 3rd of 199 COVID-19 sufficiency studies for vitamin D, which collectively show higher levels reduce risk with p<0.0000000001 (1 in 835,162 vigintillion).
risk of death, 7.0% lower, RR 0.93, p = 0.89, high D levels 21 of 600 (3.5%), low D levels 5 of 89 (5.6%), inverted to make RR<1 favor high D levels, odds ratio converted to relative risk.
risk of death/ICU, 16.7% lower, RR 0.83, p < 0.001, high D levels 68 of 600 (11.3%), low D levels 23 of 89 (25.8%), NNT 6.9, inverted to make RR<1 favor high D levels, odds ratio converted to relative risk.
risk of ICU admission, 55.3% lower, RR 0.45, p = 0.008, high D levels 47 of 600 (7.8%), low D levels 18 of 89 (20.2%), NNT 8.1, inverted to make RR<1 favor high D levels, odds ratio converted to relative risk.
risk of hospitalization, 15.1% lower, RR 0.85, p < 0.001, high D levels 171 of 600 (28.5%), low D levels 45 of 89 (50.6%), NNT 4.5, inverted to make RR<1 favor high D levels, odds ratio converted to relative risk.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Mendy et al., 27 Jun 2020, retrospective, USA, preprint, 4 authors.
This PaperVitamin DAll
Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients
MD Angelico Mendy, Senu Apewokin, Anjanette A Wells, Ardythe L Morrow
doi:10.1101/2020.06.25.20137323
Disclosures: Authors declare no relationship with industry or other relevant entities that might pose a conflict of interest in connection with the submitted article. Author Contributions: AM contributed to the study concept and design, analysis and interpretation of data, and writing of the manuscript. SA, AAW, and ALM contributed to the interpretation of data and writing of the manuscript. AM takes full responsibility for the integrity of the dataset and the analysis results.
Abbreviations: IQR, interquartile range COPD, chronic obstructive pulmonary disease; N, number of participants in subgroups. P-values for difference calculated using Wilcoxon rank tests.
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The impact of COVID-19 is due to both its rapid spread ' 'and its severity, but the determinants of severity have not been fully ' 'delineated.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>Identify ' 'factors associated with hospitalization and disease severity in a racially and ethnically ' 'diverse cohort of COVID-19 ' 'patients.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We analyzed ' 'data from COVID-19 patients diagnosed at the University of Cincinnati health system from ' 'March 13, 2020 to May 31, 2020. Severe COVID-19 was defined as admission to intensive care ' 'unit or death. Logistic regression modeling adjusted for covariates was used to identify the ' 'factors associated with hospitalization and severe ' 'COVID-19.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Among the 689 ' 'COVID-19 patients included in our study, 29.2% were non-Hispanic White, 25.5% were ' 'non-Hispanic Black, 32.5% were Hispanic, and 12.8% were of ‘Other’ race/ethnicity. About ' '31.3% of patients were hospitalized and 13.2% had severe disease. In adjusted analyses, the ' 'sociodemographic factors associated with hospitalization and/or disease severity included ' 'older age, non-Hispanic Black or Hispanic race/ethnicity (compared non-Hispanic White), and ' 'smoking. The following comorbidities: diabetes, hypercholesterolemia, asthma, chronic ' 'obstructive pulmonary disease (COPD), chronic kidney disease, cardiovascular diseases, ' 'osteoarthritis, and vitamin D deficiency, were associated with hospitalization and/or disease ' 'severity. Hematological disorders such as anemia, coagulation disorders, and thrombocytopenia ' 'were associated with higher odds of both hospitalization and disease ' 'severity.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This study ' 'confirms race and ethnicity as predictors of severe COVID-19 and identifies clinical risk ' 'factors not previously reported such a vitamin D deficiency, hypercholesterolemia, ' 'osteoarthritis, and anemia.</jats:p></jats:sec>', 'DOI': '10.1101/2020.06.25.20137323', 'type': 'posted-content', 'created': {'date-parts': [[2020, 6, 26]], 'date-time': '2020-06-26T19:54:25Z', 'timestamp': 1593201265000}, 'source': 'Crossref', 'is-referenced-by-count': 82, 'title': 'Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically ' 'Diverse Population of COVID-19 Patients', 'prefix': '10.1101', 'author': [ { 'ORCID': 'http://orcid.org/0000-0002-8227-6830', 'authenticated-orcid': False, 'given': 'Angelico', 'family': 'Mendy', 'sequence': 'first', 'affiliation': []}, { 'ORCID': 'http://orcid.org/0000-0002-3915-5814', 'authenticated-orcid': False, 'given': 'Senu', 'family': 'Apewokin', 'sequence': 'additional', 'affiliation': []}, { 'ORCID': 'http://orcid.org/0000-0002-5948-7701', 'authenticated-orcid': False, 'given': 'Anjanette A.', 'family': 'Wells', 'sequence': 'additional', 'affiliation': []}, { 'ORCID': 'http://orcid.org/0000-0002-1126-4525', 'authenticated-orcid': False, 'given': 'Ardythe L.', 'family': 'Morrow', 'sequence': 'additional', 'affiliation': []}], 'member': '246', 'reference': [ { 'issue': '8', 'key': '2021010705151247000_2020.06.25.20137323v1.1', 'doi-asserted-by': 'crossref', 'first-page': '709', 'DOI': '10.1001/jama.2020.1097', 'article-title': 'The novel coronavirus originating in Wuhan, China: Challenges for ' 'global health governance', 'volume': '323', 'year': '2020', 'journal-title': 'JAMA'}, { 'key': '2021010705151247000_2020.06.25.20137323v1.2', 'unstructured': 'WHO Coronavirus Disease (COVID-19) Dashboard. https://covid19.who.int. 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Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
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