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1.
Sci Rep ; 11(1): 4945, 2021 03 02.
Article in English | MEDLINE | ID: covidwho-1114730

ABSTRACT

Although models have been developed for predicting severity of COVID-19 from the medical history of patients, simplified models with good accuracy could be more practical. In this study, we examined utility of simpler models for estimating risk of hospitalization of patients with COVID-19 and mortality of these patients based on demographic characteristics (sex, age, race, median household income based on zip code) and smoking status of 12,347 patients who tested positive at Mass General Brigham centers. The corresponding electronic records were queried (02/26-07/14/2020) to construct derivation and validation cohorts. The derivation cohort was used to fit generalized linear models for estimating risk of hospitalization within 30 days of COVID-19 diagnosis and mortality within approximately 3 months for the hospitalized patients. In the validation cohort, the model resulted in c-statistics of 0.77 [95% CI 0.73-0.80] for hospitalization, and 0.84 [95% CI 0.74-0.94] for mortality among hospitalized patients. Higher risk was associated with older age, male sex, Black ethnicity, lower socioeconomic status, and current/past smoking status. The models can be applied to predict the absolute risks of hospitalization and mortality, and could aid in individualizing the decision making when detailed medical history of patients is not readily available.


Subject(s)
COVID-19 Testing/methods , COVID-19/mortality , Hospitalization/statistics & numerical data , Adult , Aged , Algorithms , COVID-19/epidemiology , Cohort Studies , Computational Biology/methods , Ethnicity , Female , Humans , Male , Middle Aged , Models, Statistical , Nomograms , Racial Groups/statistics & numerical data , Risk Factors , SARS-CoV-2/pathogenicity , Severity of Illness Index
2.
Contemp Clin Trials ; 100: 106176, 2021 01.
Article in English | MEDLINE | ID: covidwho-849022

ABSTRACT

OBJECTIVES: To determine the effect of vitamin D supplementation on disease progression and post-exposure prophylaxis for COVID-19 infection. We hypothesize that high-dose vitamin D3 supplementation will reduce risk of hospitalization/death among those with recently diagnosed COVID-19 infection and will reduce risk of COVID-19 infection among their close household contacts. METHODS: We report the rationale and design of a planned pragmatic, cluster randomized, double-blinded trial (N = 2700 in total nationwide), with 1500 newly diagnosed individuals with COVID-19 infection, together with up to one close household contact each (~1200 contacts), randomized to either vitamin D3 (loading dose, then 3200 IU/day) or placebo in a 1:1 ratio and a household cluster design. The study duration is 4 weeks. The primary outcome for newly diagnosed individuals is the occurrence of hospitalization and/or mortality. Key secondary outcomes include symptom severity scores among cases and changes in the infection (seroconversion) status for their close household contacts. Changes in vitamin D 25(OH)D levels will be assessed and their relation to study outcomes will be explored. CONCLUSIONS: The proposed pragmatic trial will allow parallel testing of vitamin D3 supplementation for early treatment and post-exposure prophylaxis of COVID-19. The household cluster design provides a cost-efficient approach to testing an intervention for reducing rates of hospitalization and/or mortality in newly diagnosed cases and preventing infection among their close household contacts.


Subject(s)
COVID-19 Drug Treatment , Dietary Supplements , Vitamin D/therapeutic use , Adult , COVID-19/mortality , Comorbidity , Double-Blind Method , Hospitalization/statistics & numerical data , Humans , Middle Aged , Minority Groups/statistics & numerical data , Risk Factors , SARS-CoV-2 , Seroconversion , Severity of Illness Index , Socioeconomic Factors
3.
medRxiv ; 2020 Aug 04.
Article in English | MEDLINE | ID: covidwho-721056

ABSTRACT

We summarize key demographic, clinical, and medical characteristics of patients with respect to the severity of COVID-19 disease using Electronic Health Records Data of 4,140 SARS-CoV-2 positive subjects from several large Boston Area Hospitals. We found that prior use of antihypertensive medications as well as lipid lowering and other cardiovascular drugs (such as direct oral anticoagulants and antiplatelets) all track with increased severity of COVID-19 and should be further investigated with appropriate adjustment for confounders such as age and frailty. The three most common prior comorbidities are hyperlipidemia, hypertension, and prior pneumonia, all associated with increased severity.

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