Gesine Meyer1, Klaus Badenhoop1, Roland Linder2. 1. Department of Medicine 1 - Endocrinology, Goethe-University Hospital, Frankfurt, Germany. 2. WINEG, Scientific Institute of the TK for Benefit and Efficiency in Health Care, Hamburg, Germany.
Abstract
OBJECTIVE: Adrenal crises are potentially life-threatening complications in patients with adrenal insufficiency (AI). Our objective was to investigate the frequency of adrenal crises in different forms of AI. DESIGN/PATIENTS: The Statutory Health Insurance (SHI) database of the Techniker Krankenkasse - covering more than 12% of the German population - was analysed for diagnostic codes from 1 January 2010 to 31 December 2013. MEASUREMENTS: By analysis of routine data from a large healthcare provider. Diagnoses of AI were recorded and classified in primary AI, secondary AI and autoimmune polyglandular syndrome (APS). The ICD-code E27·2 (AC) was retrieved in all cohorts. RESULTS: We found a prevalence of 222/million for secondary and 126/million for primary AI. AC was documented with a frequency of 4·8/100 patient years. Crises were significantly more frequent in patients with primary (7·6/100 patient years) compared to those with secondary AI (3·2/100 patient years; P < 0·0001). Prevalence of crises was higher in individuals with APS (10·9/100 patient years) and highest in patients with primary AI and type 1 diabetes (12·5/100 patient years). CONCLUSIONS: Applying a SHI database comprising more than 9 million individuals, we identified robust data about the risk of AC in different groups of patients with AI. Our data confirm and extend the clinical observation that patients with APS are at highest risk for AC. Approximately 1 of 8 patients with primary AI and type 1 diabetes suffers from an AC each year. Specific targeting of efforts aiming at the prevention of AC is necessary.
OBJECTIVE: Adrenal crises are potentially life-threatening complications in patients with adrenal insufficiency (AI). Our objective was to investigate the frequency of adrenal crises in different forms of AI. DESIGN/PATIENTS: The Statutory Health Insurance (SHI) database of the Techniker Krankenkasse - covering more than 12% of the German population - was analysed for diagnostic codes from 1 January 2010 to 31 December 2013. MEASUREMENTS: By analysis of routine data from a large healthcare provider. Diagnoses of AI were recorded and classified in primary AI, secondary AI and autoimmune polyglandular syndrome (APS). The ICD-code E27·2 (AC) was retrieved in all cohorts. RESULTS: We found a prevalence of 222/million for secondary and 126/million for primary AI. AC was documented with a frequency of 4·8/100 patient years. Crises were significantly more frequent in patients with primary (7·6/100 patient years) compared to those with secondary AI (3·2/100 patient years; P < 0·0001). Prevalence of crises was higher in individuals with APS (10·9/100 patient years) and highest in patients with primary AI and type 1 diabetes (12·5/100 patient years). CONCLUSIONS: Applying a SHI database comprising more than 9 million individuals, we identified robust data about the risk of AC in different groups of patients with AI. Our data confirm and extend the clinical observation that patients with APS are at highest risk for AC. Approximately 1 of 8 patients with primary AI and type 1 diabetes suffers from an AC each year. Specific targeting of efforts aiming at the prevention of AC is necessary.
Authors: Marcus Quinkler; Robert D Murray; Pinggao Zhang; Claudio Marelli; Robert Petermann; Andrea M Isidori; Bertil Ekman Journal: Eur J Endocrinol Date: 2021-05-04 Impact factor: 6.664