Demographic Characteristics, Etiology, and Comorbidities of Patients with Cushing’s Syndrome: A 10-Year Retrospective Study at a Large General Hospital in China

Purpose. To investigate the demographic characteristics, etiology, and comorbidities of Cushing’s syndrome (CS) patients at a large medical center in China. Methods. Records on CS patients discharged from 2008 to 2017 were retrieved from the hospital discharge abstract database (DAD) using ICD-10 codes. Demographic characteristics, etiology, and comorbidity data were analyzed. Results. Cushing’s disease (CD) accounted for 63.0% of CS patients, followed by adrenocortical adenoma (ACA) (20.9%), primary bilateral macronodular adrenal hyperplasia (BMAH) (6.2%), ectopic ACTH syndrome (EAS) (5.9%), primary pigmented nodular adrenocortical disease (PPNAD) (1.8%), and adrenocortical carcinoma (ACC) (1.0%). CD, ACA, ACC, and PPNAD presented marked preponderances in women (4.1 : 1, 10.5 : 1, 4.3 : 1, and 2.3 : 1, respectively), while BMAH (59.8%) and EAS (51.0%) showed slightly higher preponderances in men. CD patients were younger than ACA and EAS patients ( years vs. years and years vs. ,); PPNAD patients were the youngest ( years, ), and BMAH patients were the oldest ( years, ). Hypertension, diabetes mellitus, osteoporosis without fractures, osteoporotic fractures, dyslipidemia, and fatty liver occurred more frequently in CD patients than in ACA patients ( for all). Osteoporotic fractures were observed more frequently in PPAND than in ACA (26.7% vs. 9.0%, ) and BMAH (26.7% vs. 4.9%, ) patients. EAS patients had more severe and diverse comorbidities, with higher prevalences of hypokalemia (52.0%), diabetes mellitus (61.2%), and osteoporotic fractures (28.6%). When adjusted for age, male CD patients were associated with hypertension (OR = 2.266, 95% CI: 1.524–3.371, and ), osteoporotic fractures (OR = 2.274, 95% CI: 1.568–3.298, and ), fatty liver (OR = 1.435, 95% CI: 1.028–2.003, and ), and hypokalemia (OR = 1.944, 95% CI: 1.280–2.951, and ).Conclusions. The proposed method efficiently evaluates CS patients’ epidemiological profiles using hospital DADs with ICD-10 codes and thus may enrich the limited epidemiological data and contribute to clinical practice for CS.