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      Acromegaly at diagnosis in 3173 patients from the Liège Acromegaly Survey (LAS) Database

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          Abstract

          Acromegaly is a rare disorder caused by chronic growth hormone (GH) hypersecretion. While diagnostic and therapeutic methods have advanced, little information exists on trends in acromegaly characteristics over time. The Liège Acromegaly Survey (LAS) Database, a relational database, is designed to assess the profile of acromegaly patients at diagnosis and during long-term follow-up at multiple treatment centers. The following results were obtained at diagnosis. The study population consisted of 3173 acromegaly patients from ten countries; 54.5% were female. Males were significantly younger at diagnosis than females (43.5 vs 46.4 years; P < 0.001). The median delay from first symptoms to diagnosis was 2 years longer in females ( P = 0.015). Ages at diagnosis and first symptoms increased significantly over time ( P < 0.001). Tumors were larger in males than females ( P < 0.001); tumor size and invasion were inversely related to patient age ( P < 0.001). Random GH at diagnosis correlated with nadir GH levels during OGTT ( P < 0.001). GH was inversely related to age in both sexes ( P < 0.001). Diabetes mellitus was present in 27.5%, hypertension in 28.8%, sleep apnea syndrome in 25.5% and cardiac hypertrophy in 15.5%. Serious cardiovascular outcomes like stroke, heart failure and myocardial infarction were present in <5% at diagnosis. Erythrocyte levels were increased and correlated with IGF-1 values. Thyroid nodules were frequent (34.0%); 820 patients had colonoscopy at diagnosis and 13% had polyps. Osteoporosis was present at diagnosis in 12.3% and 0.6–4.4% had experienced a fracture. In conclusion, this study of >3100 patients is the largest international acromegaly database and shows clinically relevant trends in the characteristics of acromegaly at diagnosis.

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          Most cited references52

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          Acromegaly: an endocrine society clinical practice guideline.

          The aim was to formulate clinical practice guidelines for acromegaly.
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            Prevalence of pituitary adenomas: a community-based, cross-sectional study in Banbury (Oxfordshire, UK).

            Pituitary adenomas (PAs) are associated with increased morbidity and mortality. The optimal delivery of services and the provision of care for patients with PAs require distribution of the resources proportionate to the impact of these conditions on the community. Currently, the resource allocation for PAs in the health care system is lacking a reliable and an up-to-date epidemiological background that would reflect the recent advances in the diagnostic technologies, leading to the earlier recognition of these tumours. To determine the prevalence, the diagnostic delay and the characteristics of patients with PA in a well-defined geographical area of the UK (Banbury, Oxfordshire). Sixteen general practitioner (GP) surgeries covering the area of Banbury and a total population of 89 334 inhabitants were asked to participate in the study (data confirmed on 31 July 2006). Fourteen surgeries with a total of 81,449 inhabitants (91% of the study population) agreed to take part. All cases of PAs were found following an exhaustive computer database search of agreed terms by the staff of each Practice and data on age, gender, presenting manifestations and their duration, imaging features at diagnosis, history of multiple endocrine neoplasia type 1 and family history of PA were collected. A total of 63 patients with PA were identified amongst the study population of 81,149, with a prevalence of 77.6 PA cases/100,000 inhabitants (prolactinomas; PRLoma: 44.4, nonfunctioning PAs: 22.2, acromegaly; ACRO: 8.6, corticotroph adenoma: 1.2 and unknown functional status; UFS: 1.2/100,000 inhabitants). The distribution of each PA subtype was for PRLoma 57%, nonfunctioning PAs 28%, ACRO 11%, corticotroph adenoma 2% and UFS 2%. The median age at diagnosis and the duration of symptoms until diagnosis (in years) were for PRLoma 32.0 and 1.5, nonfunctioning PAs 51.5 and 0.8, ACRO 47 and 4.5 and corticotroph adenoma 57 and 7, respectively. PRLoma was the most frequent PA diagnosed up to the age of 60 years (0-20 years: 75% and 20-60 years: 61% of PAs) and nonfunctioning PA after the age of 60 years (60% of PAs). Nonfunctioning PAs dominated in men (57% of all men with PA) and PRLoma in women (76% of all women with PA). Five patients (7.9%) presented with classical pituitary apoplexy, with a prevalence of 6.2 cases/100,000 inhabitants. Based on a well-defined population in Banbury (Oxfordshire, UK), we have shown that PAs have a fourfold increased prevalence than previously thought; our data confirm that PAs have a higher burden on the Health Care System and optimal resource distribution for both clinical care and research activities aiming to improve the outcome of these patients are needed.
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              High prevalence of pituitary adenomas: a cross-sectional study in the province of Liege, Belgium.

              Prevalence data are important for assessing the burden of disease on the health care system; data on pituitary adenoma prevalence are very scarce. The objective of the study was to measure the prevalence of clinically relevant pituitary adenomas in a well-defined population. This was a cross-sectional, intensive, case-finding study performed in three regions of the province of Liège, Belgium, to measure pituitary adenoma prevalence as of September 30, 2005. The study was conducted in specialist and general medical practitioner patient populations, referral hospitals, and investigational centers. Three demographically and geographically distinct districts of the province of Liège were delineated precisely using postal codes. Medical practitioners in these districts were recruited, and patients with pituitary adenomas under their care were identified. Diagnoses were confirmed after retrieval of clinical, hormonal, radiological, and pathological data; full demographic and therapeutic follow-up data were collected in all cases. Sixty-eight patients with clinically relevant pituitary adenomas were identified in a population of 71,972 individuals; the mean (+/- sd) prevalence was 94 +/- 19.3 cases per 100,000 population (95% confidence interval, 72.2 to 115.8). The group was 67.6% female and had a mean age at diagnosis of 40.3 yr; 42.6% had macroadenomas and 55.9% underwent surgery. Prolactinomas comprised 66% of the group, with the rest having nonsecreting tumors (14.7%), somatotropinomas (13.2%), or Cushing's disease (5.9%); 20.6% had hypopituitarism. The prevalence of pituitary adenomas in the study population (one case in 1064 individuals) was more than 3.5-5 times that previously reported. This increased prevalence may have important implications when prioritizing funding for research and treatment of pituitary adenomas.
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                Author and article information

                Journal
                Endocr Relat Cancer
                Endocr. Relat. Cancer
                ERC
                Endocrine-Related Cancer
                Bioscientifica Ltd (Bristol )
                1351-0088
                1479-6821
                October 2017
                21 July 2017
                : 24
                : 10
                : 505-518
                Affiliations
                [1 ]Department of Endocrinology CHU de Liège, University of Liège, Belgium
                [2 ]Clinical Centre of Endocrinology and Gerontology Medical University, Sofia, Bulgaria
                [3 ]APHP Endocrinology and Reproductive Diseases Paris Sud University, Le Kremlin-Bicêtre, France
                [4 ]Section of Endocrinology Department of Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
                [5 ]Department of Endocrinology Centre de Référence des Maladies Rares d’Origine Hypophysaire, Hôpital de la Timone, Marseille, France
                [6 ]Dipartimento Di Medicina Clinica e Chirurgia Sezione di Endocrinologia, University “Federico II”, Naples, Italy
                [7 ]Department of Endocrinology CHU de Reims, France
                [8 ]Department of Molecular Medicine and Surgery Karolinska University Hospital, Stockholm, Sweden
                [9 ]Department of Internal Medicine University of Genoa, Genova, Italy
                [10 ]Third Department of Internal Medicine 1st Faculty of Medicine, Charles University, Prague, Czech Republic
                [11 ]Department of Biotechnological and Applied Clinical Sciences University of L’Aquila, L’Aquila, Italy and Neuromed, IRCCS, Pozzilli, Italy
                [12 ]Department of Internal Medicine Endocrinology and Clinical Chemistry, Max Planck Institute of Psychiatry, Munich, Germany
                [13 ]Department of Internal Medicine Endocrinology, Diabetes and Metabolism Unit, Centro Hospitalar de Trás-os-Montes e Alto Douro, Portugal
                [14 ]Department of Endocrinology Hospital Universitario de la Ribera, Alzira, Spain
                [15 ]Department of Endocrinology Diabetes and Metabolism, Centro Hospitalar S. João, Faculty of Medicine, Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal
                Author notes
                Correspondence should be addressed to A Beckers; Email: albert.beckers@ 123456chu.ulg.ac.be
                Article
                ERC170253
                10.1530/ERC-17-0253
                5574208
                28733467
                f1c9d6e2-5a62-4d7a-98be-53cd97624688
                © 2017 The authors

                This work is licensed under a Creative Commons Attribution 3.0 Unported License.

                History
                : 19 July 2017
                : 21 July 2017
                Categories
                Research

                Oncology & Radiotherapy
                acromegaly,comorbidity,database,data mining,diagnosis,growth hormone,igf-1,pituitary adenoma,symptoms

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