Endocrine Abstracts (2017) 49 EP961 | DOI: 10.1530/endoabs.49.EP961

Prevalence of acromegaly in eight counties of North-East Romania

Laura Feraru1, Carmen Vulpoi1,2, Voichita Mogos1, Corina Galesanu1,2, Dumitru Branisteanu1,2, Maria-Christina Ungureanu1,2, Letitia Leustean1,2, Cristina Cristea1, Simona Mogos1,2, Catalin Buzduga1,2, Raluca Balaceanu1 & Cristina Preda1,2

1University Hospital ‘St Spiridon’, Iasi, Romania; 2University of Medicine and Pharmacy ‘Gr. T. Popa’, Iasi, Romania.

Introduction: The prevalence of acromegaly is estimated to be 6-28/100000 but several studies suggest that acromegaly is underdiagnosed and its prevalence is underestimated.

Aim: To measure the prevalence of clinically relevant acromegaly in a well-defined population using data from 01.04.2004 to 01.11.2016.

Method: Cross-sectional study performed in 8 counties from the North-East Romania. Data of patients with acromegaly were collected using the INFOWORLD programme and acromegaly diagnosis code E22.0. The number of inhabitants for each county was in accord with 2011 Census and 2007 Statistical Directory. We identified all acromegalic patients who were born and resided for each of the eight counties diagnosed in the Department of Endocrinology from the University Hospital ‘St Spiridon’ Iasi, Romania.

Results: 238 (164 females and 74 males) patients with acromegaly were identified in a total population of 4.2 million inhabitants. The prevalence for Iasi County was 9,94/100000, Suceava County 5.49/100000, Bacau County 4,13, Galati County 1,50, Neamt County 3,94, Botosani County 7,17, Vaslui County 7,37/100000 and Vrancea County 3,53/100000.

Conclusions: The highest prevalence was identified in 3 counties (Iasi, Vaslui and Botosani). The explanation of this results may be the more frequent use of diagnostic procedures like CT or IRM, the concern of local endocrinologists to identify this type of pathology. The sex distribution of the selected population was in favour of female patients (2F:1M) and was not consistent with 1:1 sex distribution of previous studies.