Abstract
Context
Patients with hypopituitarism face excess mortality in the long-term outpatient setting. However, associations of pituitary dysfunction with outcomes in acutely hospitalized patients are lacking.
Objective
The objective of this work is to assess clinical outcomes of hospitalized patients with hypopituitarism with or without diabetes insipidus (DI).
Design, Setting, and Patients
In this population-based, matched-cohort study from 2012 to 2017, hospitalized adult patients with a history of hypopituitarism were 1:1 propensity score–matched with a general medical inpatient cohort.
Main Outcome Measures
The primary outcome was in-hospital mortality. Secondary outcomes included all-cause readmission rates within 30 days and 1 year, intensive care unit (ICU) admission rates, and length of hospital stay.
Results
After matching, 6764 cases were included in the study. In total, 3382 patients had hypopituitarism and of those 807 (24%) suffered from DI. All-cause in-hospital mortality occurred in 198 (5.9%) of patients with hypopituitarism and in 164 (4.9%) of matched controls (odds ratio [OR] 1.32, [95% CI, 1.06-1.65], P = .013). Increased mortality was primarily observed in patients with DI (OR 3.69 [95% CI, 2.44-5.58], P < .001). Patients with hypopituitarism had higher ICU admissions (OR 1.50 [95% CI, 1.30-1.74], P < .001), and faced a 2.4-day prolonged length of hospitalization (95% CI, 1.94–2.95, P < .001) compared to matched controls. Risk of 30-day (OR 1.31 [95% CI, 1.13-1.51], P < .001) and 1-year readmission (OR 1.29 [95% CI, 1.17-1.42], P < .001) was higher among patients with hypopituitarism as compared with medical controls.
Conclusions
Patients with hypopituitarism are highly vulnerable once hospitalized for acute medical conditions with increased risk of mortality and adverse clinical outcomes. This was most pronounced among those with DI.
Five-Year Effectiveness of the Multidisciplinary Risk Assessment and Management Programme–Diabetes Mellitus (RAMP-DM) on Diabetes-Related Complications and Health Service Uses—A Population-Based and Propensity-Matched Cohort Study
