| Literature DB >> 34981368 |
Karen H Seal1,2, Daniel Bertenthal3, Evan Carey4,5, Carl Grunfeld6,7, Daniel D Bikle7,8, Chuanyi M Lu9.
Abstract
BACKGROUND: The relationship between vitamin D status and COVID-19-related clinical outcomes is controversial. Prior studies have been conducted in smaller, single-site, or homogeneous populations limiting adjustments for social determinants of health (race/ethnicity and poverty) common to both vitamin D deficiency and COVID-19 outcomes.Entities:
Mesh:
Substances:
Year: 2022 PMID: 34981368 PMCID: PMC8723909 DOI: 10.1007/s11606-021-07170-0
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 6.473
Figure 1.Derivation of analytic cohort for patients with 25-hydroxy D laboratory results prior to positive SARS-CoV-2 test (2/20/2020–11/8/2020)
Factors Associated with Vitamin D Deficiency in 4,599 Patients with Positive SARS-CoV-2 and Recent 25(OH)D Result (2/20/2020–11/8/2020)
| All patients | Adequate vitamin D | Vitamin D deficiency | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Relative risk (95% CI) | |||||||||
| Age, mean (SD), ya | 62.6 | (15.1) | 63.7 | (14.8) | 56.2 | (15.3) | 0.88 | (0.86, 0.90) | <0.001 |
| Sex | |||||||||
| Male | 4,011 | 87.2% | 3,453 | 87.8% | 558 | 83.9% | |||
| Female | 588 | 12.8% | 481 | 12.2% | 107 | 16.1% | 1.31 | (1.08, 1.58) | 0.005 |
| Race | |||||||||
| White | 3,021 | 65.7% | 2,720 | 69.1% | 301 | 45.3% | |||
| Black or African American | 1,171 | 25.5% | 864 | 22.0% | 307 | 46.2% | 2.63 | (2.28, 3.04) | <0.001 |
| American Indian or Alaska Native | 38 | 0.8% | 32 | 0.8% | 6 | 0.9% | 1.58 | (0.75, 3.33) | 0.222 |
| Asian | 35 | 0.8% | 29 | 0.7% | 6 | 0.9% | 1.72 | (0.82, 3.59) | 0.150 |
| Native Hawaiian or Pacific Islander | 40 | 0.9% | 35 | 0.9% | 5 | 0.8% | 1.25 | (0.55, 2.87) | 0.589 |
| Unknown | 294 | 6.4% | 254 | 6.5% | 40 | 6.0% | 1.37 | (1.00, 1.86) | 0.047 |
| Ethnicity | |||||||||
| Not Hispanic or Latinx | 4,112 | 89.4% | 3,546 | 90.1% | 566 | 85.1% | |||
| Hispanic or Latinx | 487 | 10.6% | 388 | 9.9% | 99 | 14.9% | 1.48 | (1.22, 1.79) | <0.001 |
| Percent of residents < federal poverty line, mean (SD)b | 16.2 | (9.2) | 16.0 | (9.1) | 17.4 | (9.5) | 1.07 | (1.03, 1.11) | <0.001 |
| Body mass index | |||||||||
| BMI Under 18 | 46 | 1.0% | 42 | 1.1% | 4 | 0.6% | |||
| BMI 18–24 | 704 | 15.3% | 628 | 16.0% | 76 | 11.4% | 1.24 | (0.48, 3.24) | 0.660 |
| BMI 25–29 | 1,435 | 31.2% | 1,264 | 32.1% | 171 | 25.7% | 1.37 | (0.53, 3.53) | 0.516 |
| BMI 30–34 | 1,312 | 28.5% | 1,110 | 28.2% | 202 | 30.4% | 1.77 | (0.69, 4.56) | 0.234 |
| BMI 35+ | 1,102 | 24.0% | 890 | 22.6% | 212 | 31.9% | 2.21 | (0.86, 5.69) | 0.099 |
| Low serum albumin | |||||||||
| Normal serum albumin | 4,049 | 88.0% | 3,487 | 88.6% | 562 | 84.5% | |||
| Low serum albumin | 550 | 12.0% | 447 | 11.4% | 103 | 15.5% | 1.35 | (1.12, 1.63) | 0.002 |
| Diabetes (any type) | |||||||||
| No | 2,544 | 55.3% | 2,163 | 55.0% | 381 | 57.3% | |||
| Yes | 2,055 | 44.7% | 1,771 | 45.0% | 284 | 42.7% | 0.92 | (0.80, 1.06) | 0.267 |
| Cardiovascular dis. (incl. hypertension) | |||||||||
| No | 2,712 | 59.0% | 2,293 | 58.3% | 419 | 63.0% | |||
| Yes | 1,887 | 41.0% | 1,641 | 41.7% | 246 | 37.0% | 0.84 | (0.73, 0.98) | 0.023 |
| Obstructive sleep apnea | |||||||||
| No | 2,976 | 64.7% | 2,567 | 65.3% | 409 | 61.5% | |||
| Yes | 1,623 | 35.3% | 1,367 | 34.7% | 256 | 38.5% | 1.15 | (0.99, 1.33) | 0.061 |
| Chronic obstructive pulmonary disease | |||||||||
| No | 3,612 | 78.5% | 3,044 | 77.4% | 568 | 85.4% | |||
| Yes | 987 | 21.5% | 890 | 22.6% | 97 | 14.6% | 0.62 | (0.51, 0.77) | <0.001 |
| Cancer | |||||||||
| No | 3,452 | 75.1% | 2,915 | 74.1% | 537 | 80.8% | |||
| Yes | 1,147 | 24.9% | 1,019 | 25.9% | 128 | 19.2% | 0.72 | (0.60, 0.86) | <0.001 |
| Chronic kidney disease | |||||||||
| No | 3,611 | 78.5% | 3,077 | 78.2% | 534 | 80.3% | |||
| Yes | 988 | 21.5% | 857 | 21.8% | 131 | 19.7% | 0.90 | (0.75, 1.07) | 0.230 |
| Liver disease | |||||||||
| No | 4,214 | 91.6% | 3,605 | 91.6% | 609 | 91.6% | |||
| Yes | 385 | 8.4% | 329 | 8.4% | 56 | 8.4% | 1.01 | (0.78, 1.30) | 0.960 |
| Human immunodeficiency virus | |||||||||
| No | 4,542 | 98.8% | 3,891 | 98.9% | 651 | 97.9% | |||
| Yes | 57 | 1.2% | 43 | 1.1% | 14 | 2.1% | 1.71 | (1.08, 2.72) | 0.022 |
| Smoking status | |||||||||
| Never smoker | 1,904 | 41.4% | 1,594 | 40.5% | 310 | 46.6% | |||
| Current or former smoker | 2,695 | 58.6% | 2,340 | 59.5% | 355 | 53.4% | 0.81 | (0.70, 0.93) | 0.003 |
| Non-alcohol drug dependence | |||||||||
| No | 4,393 | 95.5% | 3,773 | 95.9% | 620 | 93.2% | |||
| Yes | 206 | 4.5% | 161 | 4.1% | 45 | 6.8% | 1.55 | (1.18, 2.02) | 0.001 |
| Alcohol dependence | |||||||||
| No | 4,153 | 90.3% | 3,579 | 91.0% | 574 | 86.3% | |||
| Yes | 446 | 9.7% | 355 | 9.0% | 91 | 13.7% | 1.48 | (1.21, 1.80) | <0.001 |
aRelative risk reflects 5 years increase in age.
bU.S. Census Bureau. American Community Survey, 2018 American Community Survey 5-Year Estimates. Table 1901. Accessed October 2, 2020. https://data.census.gov/cedsci/. Relative risk reflects 5% increase in proportion of residents in patient ZIP code living below federal poverty line.
Independent Predictors of Hospitalization Requiring Airborne, Droplet, Contact, or Other Isolation for 4,599 Patients with Positive SARS-CoV-2 Tests (2/20/2020–11/8/2020)
| Unadjusted | Age and sex | Fully adjusted | ||||
|---|---|---|---|---|---|---|
| RR/95% CI | ARR/95% CI | ARR/95% CI | ||||
| 25-Hydroxy vitamin D, log-transformeda | 0.96 (0.84, 1.11) | 0.614 | 0.72 (0.63, 0.83) | <0.001 | 0.83 (0.72, 0.96) | 0.009 |
| Age at index dateb, years | 1.17 (1.15, 1.19) | <0.001 | 1.13 (1.10, 1.16) | <0.001 | ||
| Male | 1.30 (1.02, 1.64) | 0.031 | 1.14 (0.90, 1.45) | 0.263 | ||
| Race: non-Caucasian or unknown | 1.50 (1.34, 1.68) | <0.001 | ||||
| Ethnicity: Hispanic or Latinx | 1.18 (0.98, 1.42) | 0.080 | ||||
| Proportion of residents < federal poverty linec | 1.03 (1.00, 1.06) | 0.058 | ||||
| Body mass index, kg/m2 | 0.99 (0.98, 1.00) | 0.049 | ||||
| Diabetes (any) | 1.24 (1.11, 1.40) | <0.001 | ||||
| Cardiovascular disease (incl. hypertension) | 1.27 (1.12, 1.44) | <0.001 | ||||
| Obstructive sleep apnea | 1.12 (0.99, 1.27) | 0.062 | ||||
| Chronic obstructive pulmonary disease | 1.20 (1.06, 1.35) | 0.003 | ||||
| Cancer | 1.21 (1.08, 1.35) | 0.001 | ||||
| Chronic kidney disease | 1.44 (1.28, 1.62) | <0.001 | ||||
| Liver disease | 1.19 (1.02, 1.40) | 0.032 | ||||
| Human immunodeficiency virus | 1.21 (0.86, 1.72) | 0.276 | ||||
| Current or former smoker | 0.99 (0.89, 1.11) | 0.921 | ||||
| Non-alcohol drug dependence | 1.14 (0.90, 1.45) | 0.274 | ||||
| Alcohol dependence | 1.45 (1.22, 1.72) | <0.001 |
a25-Hydroxy Vitamin D, log-transformed as a continuous variable, was independently associated with decreased risk of hospitalization.
bRelative risk reflects 5 years increase in age.
cRelative risk reflects 5% increase in proportion of residents in patient ZIP code living below federal poverty line.
Figure 2.Adjusted probability of hospitalization by 25-hydroxy D concentrations for 4,599 patients with positive SARS-CoV-2 (2/20/2020–11/8/2020). Adjusted probabilities calculated as predictive margins from fully adjusted model in Table 2, which was adjusted for age, sex, sociodemographics (race, ethnicity, proportion of residents below federal poverty line), medical comorbidities (obesity, diabetes, cardiovascular disease including hypertension, obstructive sleep apnea, obstructive sleep apnea, chronic obstructive pulmonary disease, cancer, chronic kidney disease, liver disease, human immunodeficiency virus), and health risk behaviors (smoking status, non-alcohol drug dependence, alcohol dependence)
Adjusted Risk Ratios for Hospitalization Comparing Representative 25-Hydroxy D Levels for 4,599 Patients with Positive SARS-CoV-2 Tests (2/20/2020–11/8/2020)a
| Age and sexb | Fully adjustedc | |||
|---|---|---|---|---|
| ARR | 95% CI | ARR | 95% CI | |
| 15 ng/mL vs. 20ng/mL | 1.10 | (1.05, 1.14) | 1.05 | (1.01, 1.10) |
| 15 ng/mL vs. 25ng/mL | 1.18 | (1.10, 1.27) | 1.10 | (1.02, 1.18) |
| 15 ng/mL vs. 30ng/mL | 1.25 | (1.13, 1.38) | 1.14 | (1.03, 1.25) |
| 15 ng/mL vs. 40ng/mL | 1.37 | (1.19, 1.58) | 1.20 | (1.05, 1.37) |
| 15 ng/mL vs. 50ng/mL | 1.47 | (1.24, 1.75) | 1.25 | (1.06, 1.48) |
| 15 ng/mL vs. 60ng/mL | 1.56 | (1.29, 1.90) | 1.29 | (1.06, 1.57) |
aThese adjusted relative risks and confidence intervals reflect comparisons between pairs of 25(OH)D values displayed in Figure 2 (fully adjusted model shown only) which were predicted from the models in Table 2.
bAdjusted for age and sex
cAdjusted for age, sex, sociodemographics (race, ethnicity, proportion of residents below federal poverty line), medical comorbidities (obesity, diabetes, cardiovascular disease including hypertension, obstructive sleep apnea, obstructive sleep apnea, chronic obstructive pulmonary disease, cancer, chronic kidney disease, liver disease, human immunodeficiency virus), and health risk behaviors (smoking status, non-alcohol drug dependence, alcohol dependence)
Independent Predictors of 60-day Mortality for 4,599 Patients with Positive SARS-CoV-2 Tests (2/20/2020–11/8/2020)
| Unadjusted | Age and sex | Fully adjusted | ||||
|---|---|---|---|---|---|---|
| RR/95% CI | ARR/95% CI | ARR/95% CI | ||||
| 25-Hydroxy vitamin D, log-transformeda | 1.09 (0.85, 1.40) | 0.495 | 0.61 (0.47, 0.79) | <0.001 | 0.65 (0.50, 0.84) | 0.001 |
| Age at index dateb, years | 1.47 (1.41, 1.52) | <0.001 | 1.44 (1.37, 1.51) | <0.001 | ||
| Male | 1.53 (0.88, 2.65) | 0.133 | 1.28 (0.73, 2.23) | 0.391 | ||
| Race: non-Caucasian or unknown | 1.23 (0.99, 1.53) | 0.059 | ||||
| Ethnicity: Hispanic or Latinx | 0.94 (0.63, 1.39) | 0.752 | ||||
| Proportion of residents < federal poverty linec | 1.00 (0.94, 1.05) | 0.875 | ||||
| Body mass index, kg/m2 | 1.00 (0.98, 1.02) | 0.979 | ||||
| Diabetes (any) | 1.42 (1.15, 1.76) | 0.001 | ||||
| Cardiovascular disease (incl. hypertension) | 1.30 (1.03, 1.63) | 0.026 | ||||
| Obstructive sleep apnea | 1.03 (0.82, 1.29) | 0.780 | ||||
| Chronic obstructive pulmonary Disease | 1.22 (0.99, 1.50) | 0.067 | ||||
| Cancer | 1.08 (0.88, 1.33) | 0.458 | ||||
| Chronic kidney disease | 1.64 (1.33, 2.01) | <0.001 | ||||
| Liver disease | 1.08 (0.76, 1.52) | 0.669 | ||||
| Human immunodeficiency virus | 0.63 (0.16, 2.53) | 0.513 | ||||
| Current or former smoker | 1.06 (0.86, 1.32) | 0.573 | ||||
| Non-alcohol drug dependence | 1.02 (0.57, 1.83) | 0.938 | ||||
| Alcohol dependence | 1.36 (0.91, 2.04) | 0.137 |
a25-Hydroxy vitamin D, log-transformed as a continuous variable, was independently associated with decreased risk of 60-day mortality.
bRelative risk reflects 5 years increase in age.
cRelative risk reflects 5% increase in proportion of residents in patient ZIP code living below federal poverty line.
Figure 3.Adjusted probability of mortality by 25-hydroxy vitamin D concentrations for 4,599 patients with positive SARS-CoV-2 (2/20/2020–11/8/2020). Adjusted probabilities calculated as predictive margins from fully adjusted model in Table 4 which was adjusted for age, sex, sociodemographics (race, ethnicity, proportion of residents below federal poverty line), medical comorbidities (obesity, diabetes, cardiovascular disease including hypertension, obstructive sleep apnea, obstructive sleep apnea, chronic obstructive pulmonary disease, cancer, chronic kidney disease, liver disease, human immunodeficiency virus), and health risk behaviors (smoking status, non-alcohol drug dependence, alcohol dependence)
Risk Ratio for Mortality Comparing Representative 25-Hydroxy D Concentrations for 4,599 Patients with Positive SARS-CoV-2 Tests (2/20/2020–11/8/2020)a
| Age and sexb | Fully adjustedc | |||
|---|---|---|---|---|
| ARR | 95% CI | ARR | 95% CI | |
| 15 ng/mL vs. 20ng/mL | 1.15 | (1.07, 1.24) | 1.13 | (1.05, 1.22) |
| 15 ng/mL vs. 25ng/mL | 1.29 | (1.13, 1.47) | 1.25 | (1.09, 1.43) |
| 15 ng/mL vs. 30ng/mL | 1.41 | (1.18, 1.69) | 1.35 | (1.13, 1.62) |
| 15 ng/mL vs. 40ng/mL | 1.63 | (1.26, 2.10) | 1.53 | (1.18, 1.98) |
| 15 ng/mL vs. 50ng/mL | 1.82 | (1.32, 2.49) | 1.68 | (1.23, 2.31) |
| 15 ng/mL vs. 60ng/mL | 1.99 | (1.38, 2.86) | 1.82 | (1.27, 2.63) |
aThese adjusted relative risks and confidence intervals reflect comparisons between pairs of 25(OH)D values displayed in Figure 3 (fully adjusted model shown only) which were predicted from the models in Table 4.
bAdjusted for age and sex
cAdjusted for age, sex, sociodemographics (race, ethnicity, proportion of residents below federal poverty line), medical comorbidities (obesity, diabetes, cardiovascular disease including hypertension, obstructive sleep apnea, obstructive sleep apnea, chronic obstructive pulmonary disease, cancer, chronic kidney disease, liver disease, human immunodeficiency virus), and health risk behaviors (smoking status, non-alcohol drug dependence, alcohol dependence)