TY - JOUR
T1 - Significant risk of COVID-19 and related-hospitalization among patients with adrenal insufficiency
T2 - A large multinational survey
AU - Yedinak, Christine
AU - Ross, Ian Louis
N1 - Publisher Copyright:
Copyright © 2022 Yedinak and Ross.
PY - 2022/11/10
Y1 - 2022/11/10
N2 - Objective: To determine self-reported incidence and potential risk factors for COVID-19 in patients with adrenal insufficiency (AI). Methods: A 27-item AI survey was developed for AI and COVID-19 status, vetted by specialists and patients, and distributed via social media, websites, and advocacy groups. Participation was voluntary and anonymous. Data were collected from September 20th, 2020 until December 31st, 2020. Results: Respondents (n=1291) with self-reported glucocorticoid treatment for AI, completed the survey, with 456 who reported having symptoms and were screened for COVID-19 during 2020; 40 tested positive (+ve), representing an 8.8% incidence. Of the COVID-19+ve, 31 were female (78%), with mean age of 39.9 years. COVID-19 among AI patients occurred most commonly in those aged 40–59 years (n=17; 42.5%); mean time since AI diagnosis was 13.5 years (range 0.2−42.0 years). Pulmonary disease, congenital adrenal hyperplasia, and higher maintenance doses of glucocorticoids were significantly associated with +ve COVID-19 (p=0.04, p=0.01, and p=0.001, respectively. In respondents the cumulative incidence of COVID-19+ve during 2020 was 3.1%; greater than the 1.03% worldwide-incidence reported by WHO, by December 31st, 2020. There was a 3-fold (95% CI 2.16-3.98) greater relative risk (RR) of COVID-19 infection and a 23.8- fold (95% CI 20.7-31.2) RR of hospitalization in patients with AI, compared with the global population. Conclusion: A markedly raised RR of COVID-19 and hospitalization in respondents reporting chronic AI was detected. We found that a diagnosis of congenital adrenal hyperplasia, age>40 years, male gender, pulmonary disease, and higher maintenance doses of glucocorticoids were associated with greatest risk.
AB - Objective: To determine self-reported incidence and potential risk factors for COVID-19 in patients with adrenal insufficiency (AI). Methods: A 27-item AI survey was developed for AI and COVID-19 status, vetted by specialists and patients, and distributed via social media, websites, and advocacy groups. Participation was voluntary and anonymous. Data were collected from September 20th, 2020 until December 31st, 2020. Results: Respondents (n=1291) with self-reported glucocorticoid treatment for AI, completed the survey, with 456 who reported having symptoms and were screened for COVID-19 during 2020; 40 tested positive (+ve), representing an 8.8% incidence. Of the COVID-19+ve, 31 were female (78%), with mean age of 39.9 years. COVID-19 among AI patients occurred most commonly in those aged 40–59 years (n=17; 42.5%); mean time since AI diagnosis was 13.5 years (range 0.2−42.0 years). Pulmonary disease, congenital adrenal hyperplasia, and higher maintenance doses of glucocorticoids were significantly associated with +ve COVID-19 (p=0.04, p=0.01, and p=0.001, respectively. In respondents the cumulative incidence of COVID-19+ve during 2020 was 3.1%; greater than the 1.03% worldwide-incidence reported by WHO, by December 31st, 2020. There was a 3-fold (95% CI 2.16-3.98) greater relative risk (RR) of COVID-19 infection and a 23.8- fold (95% CI 20.7-31.2) RR of hospitalization in patients with AI, compared with the global population. Conclusion: A markedly raised RR of COVID-19 and hospitalization in respondents reporting chronic AI was detected. We found that a diagnosis of congenital adrenal hyperplasia, age>40 years, male gender, pulmonary disease, and higher maintenance doses of glucocorticoids were associated with greatest risk.
KW - COVID-19
KW - adrenal insufficiency
KW - adrenal insufficiency: incidence COVID-19 SARS-CoV2
KW - hospitalization
KW - incidence
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U2 - 10.3389/fendo.2022.1042119
DO - 10.3389/fendo.2022.1042119
M3 - Article
AN - SCOPUS:85142659100
SN - 1664-2392
VL - 13
JO - Frontiers in Endocrinology
JF - Frontiers in Endocrinology
M1 - 1042119
ER -