Evaluation of 68Ga-DOTATATE uptake at the pituitary region and the biochemical response to somatostatin analogs in acromegaly.

PURPOSE: Acromegaly is associated with many comorbidities and increased mortality. The first-line treatment is transsphenoidal surgery. However, many patients also need adjuvant drug treatment after surgery. Somatostatin analog (SSA), which suppresses GH secretion by somatotrophs by binding to the SSTR2 receptor, is the first choice. Nevertheless, 50% of patients are partially or totally resistant to SSA, so predictive factors of response are helpful to individualize drug treatment. 68GaDOTATATE PET/CT has emerged as the gold-standard method in the diagnosis and follow-up of gastroenteropancreatic neuroendocrine tumors, which also express SSTR. Our objective was to evaluate whether 68Ga-DOTATATE uptake (SUV max) at the pituitary region of patients on SSA therapy would be useful as a drug response predictor without the need of tumoral tissue. METHODS: Fifteen acromegalics patients on SSA treatment for at least 6 months were underwent to 68Ga-DOTATATE PET/CT at the nuclear medicine service. There was an SSA complete response group (n = 5), defined as GH < 1 µg/L and IFG-1 in the normal range for gender and age, and a group that did not meet these criteria (n = 10). RESULTS: As a result, we did not find out a significantly higher SUV max in the complete response group (p = 0.0576) to SSA. However, we found a significant inverse relationship between postoperative GH values and the SUVmax at the sella turcica (p = 0.0188), probably reflecting tumor SSTR2 expression. CONCLUSION: Thus, after this initial evaluation, 68GaDOTATATE PET/CT should be better studied to assess its usefulness in the follow-up of acromegalic patients.

Weather patients will come?

OBJECTIVES: To determine whether weather conditions affect emergency department (ED) attendance and admissions from the ED. DESIGN AND SETTING: A retrospective observational study in a large metropolitan ED. MAIN OUTCOME MEASURES: ED attendance (total and via ambulance) and admissions to hospital from ED, as a function of weather variables. RESULTS: On warm, dry, sunny and good weather days there were significantly more ED attendances in total than there were on cool, rainy, dull and bad weather days, respectively (P < or = 0.001). There were significant correlations between ED attendance and temperature (r = 0.36, P < 0.001), rainfall (r = - 0.20, P < 0.001) and hours of sunshine (r = 0.17, P = 0.001). Attendance via ambulance was not affected by weather variables. Admissions from the ED were positively correlated with temperature (r = 0.15, P < 0.01) and negatively correlated with rainfall (r = - 0.12, P = 0.02). CONCLUSIONS: As there is a clear relationship between weather conditions and ED attendance, incorporating meteorological forecasting into emergency medicine training may improve ED scheduling. To improve the morale of ED staff coping with an onslaught of patients on good weather days, the ED environment should simulate sunny weather, with swimming pools, sun lamps, palm trees and Beach Boys music.