RESUMO
OBJECTIVE AND DESIGN: Glucocorticoids (GCs) have been widely used in symptomatic patients for the treatment of COVID-19. The risk for adrenal insufficiency must be considered after GC withdrawal given that it is a life-threatening condition if left unrecognized and untreated. Our study aimed to diagnose adrenal insufficiency early on through a GC reduction schedule in patients with COVID-19 infection. PATIENTS AND MEASUREMENTS: From November 2021 to May 2022, 233 patients were admitted to the Geriatric Division of the University Hospital of Padova with COVID-19 infection. A total of 122 patients were treated with dexamethasone, after which the GC tapering was performed according to a structured schedule. It consists of step-by-step GC tapering with prednisone, from 25 mg to 2.5 mg over 2 weeks. Morning serum sodium, potassium, and cortisol levels were assessed 3 days after the last dose of prednisone. RESULTS: At the end of GC withdrawal, no adrenal crisis or signs/symptoms of acute adrenal insufficiency were reported. Median serum cortisol, sodium, and potassium levels after GC discontinuation were, respectively, 427 nmol/L, 140 nmol/L, and 4 nmol/L (interquartile range 395-479, 138-142, and 3.7-4.3). A morning serum cortisol level below the selected threshold of 270 nmol/L was observed in two asymptomatic cases (respectively, 173 and 239 nmol/L, reference range 138-690 nmol/L). Mild hyponatremia (serum sodium 132 to 134 nmol/L, reference range 135-145 nmol/L) was detected in five patients, without being related to cortisol levels. CONCLUSIONS: A structured schedule for the tapering of GC treatment used in patients with severe COVID-19 can reduce the risk of adrenal crisis and acute adrenal insufficiency.
RESUMO
BACKGROUND: To evaluate the prognostic accuracy of proadrenomedullin (proADM) in comparison with and in addition to the Multidimensional Prognostic Index (MPI), a validated predictive tool for mortality derived from a comprehensive geriatric assessment (CGA) to predict one-month mortality risk in older patients hospitalized with community-acquired pneumonia (CAP). METHODS: All patients aged 65 years and older, consecutively admitted to an acute geriatric ward with a diagnosis of CAP from February to July 2012. At admission and at discharge they were submitted to a standard CGA in order to calculate MPI. Moreover, plasma samples were taken at baseline and after one, three and five days of hospitalization for the analysis of pro-ADM. RESULTS: Fifty patients (mean age 86.2±7.5 years), with 31 at high risk of mortality (MPI-3) were enrolled. ProADM and MPI, both at admission and at discharge, were significant predictor of mortality. As expected, MPI at admission showed lower predictive accuracy than MPI at discharge (survival C-statistic 0.667 vs. 0.851). The addition of proADM to the MPI at admission significantly increased accuracy in predicting one-month mortality (C-statistics from 0.667 to 0.731, P=0.018 at baseline; from 0.667 to 0.733, P=0.008 at 1 day; from 0.633 to 0.724; P=0.019 at 3 days; from 0.667 to 0.828; P=0.003 at 5 days). Conversely, adding pro-ADM to the MPI at discharge did not significantly improve the model's prognostic accuracy. CONCLUSIONS: ProADM may significantly improve the prognostic accuracy of the MPI at admission in hospitalized elderly patients with CAP.
