to develop a prediction model for adrenal crisis (Ac) diagnosis among individuals with adrenal insufficiency that relies on the values of routinely measured clinical parameters, for application in standard clinical practice. We retrospectively analysed data from five referral centres in Japan. Multivariate binary logistic regression was used to identify independent predictors of Ac, and receiver operating characteristic curve analysis was used to determine their optimal cutoff points. The analysis included data from 54 patients with 90 AC events. Logistic regression revealed that serum sodium and C-reactive protein (CRP) levels were independent predictors of AC. Serum sodium levels < 137 mEq/L had a sensitivity of 71.1% and specificity of 95.6%. CRP levels > 1.3 mg/dL had a sensitivity of 84.4% and specificity of 94.9%. In combination, serum sodium levels < 137 mEq/L or CRP levels > 1.3 mg/ dL for AC diagnosis had sensitivity and specificity values of 97.8% and 94.4%, respectively. The combined use of serum sodium and CRP levels had high sensitivity and specificity, and can be used for Ac screening in standard clinical practice. the model can assist in identifying Ac among high-risk individuals. A larger prospective study is needed to validate these results. In individuals with chronic adrenal insufficiency (AI), adrenal crisis (AC) is a serious and life-threatening event, even among those with steroid replacement therapy 1. The mortality of individuals with chronic AI is higher than that of the general population, with the associated mortality risk shown to be approximately 2.5-fold higher 1,2. Epidemiological studies have shown that the AC incidence among individuals with AI who are receiving standard replacement therapy is 6-8% per year 3,4. Among the important risk factors for AC is a previous episode of AC 5. A prospective study showed that the AC-related mortality value was 0.5 deaths/100 patient-years 6. As no consensual definition of AC exists, a physician must diagnose AC based on the presence of non-specific symptoms, signs, and/or the results of routine laboratory tests. Furthermore, some endocrine tests such as rapid assays for cortisol and adrenocorticotropin (ACTH) are available only in a limited number of medical institutes. AC diagnosis is challenging and there is a need for a rapid, widely available sensitive method for the same. Therefore, the purpose of this study was to develop a prediction model for AC diagnosis that relies on the values of standard biochemical tests and can be applied in standard clinical practice. Results Baseline patient characteristics and precipitating factors for Ac. In total, 90 events in 54 patients with AC were included in the analysis (Table 1). Twenty-one (38.9%) patients experienced more than one AC event during the data collection period (twice, N = 13; three times, N = 4; more than three times, N = 4). The mean age at admission for AC was 62.8 ± 1.7 years (range, 29-91 years) and approximately half of the patients were women. Twenty-four patients were diagnosed ...