Literature DB >> 27743174

Epidemiology of acromegaly: review of population studies.

Aikaterini Lavrentaki1, Alessandro Paluzzi2, John A H Wass3, Niki Karavitaki4,5.   

Abstract

Acromegaly is a rare condition necessitating large population studies for the generation of reliable epidemiological data. In this review, we systematically analysed the epidemiological profile of this condition based on recently published population studies from various geographical areas. The total prevalence ranges between 2.8 and 13.7 cases per 100,000 people and the annual incidence rates range between 0.2 and 1.1 cases/100,000 people. The median age at diagnosis is in the fifth decade of life with a median diagnostic delay of 4.5-5 years. Acral enlargement and coarse facial features are the most commonly described clinical manifestations. At the time of detection, most of the tumors are macroadenomas possibly relating to diagnostic delays and posing challenges in the surgical management. Increased awareness of acromegaly amongst the medical community is of major importance aiming to reduce the adverse sequelae of late diagnosis and treatment, improve patient outcomes and, hopefully, reduce the burden on the health care system.

Entities:  

Keywords:  Acromegaly; Epidemiology; Incidence; Prevalence

Mesh:

Year:  2017        PMID: 27743174      PMCID: PMC5334410          DOI: 10.1007/s11102-016-0754-x

Source DB:  PubMed          Journal:  Pituitary        ISSN: 1386-341X            Impact factor:   4.107


Introduction

Acromegaly is a rare condition characterized by growth hormone (GH) excess and elevated Insulin-like growth factor 1 (IGF-I) levels attributed in the vast majority of cases, to a pituitary adenoma. Mortality is high in uncontrolled disease and adequate biochemical control may restore it to normal [1]. The presentation of acromegaly can be insidious and despite the advances in the field, there are significant diagnostic delays with adverse sequelae on the prognosis of the patients. The recently published Endocrine Society clinical practice guidelines suggest screening for acromegaly by measurement of IGF-I in patients with typical clinical manifestations, but also in those who lack the typical clinical picture and have several associated conditions (sleep apnea syndrome, type 2 diabetes mellitus, debilitating arthritis, carpal tunnel syndrome, hyperhidrosis, and hypertension) [2]. The impact of this approach on the prevalence and incidence rates of acromegaly in the future remains to be elucidated. Accurate and up-to-date epidemiological data on acromegaly are of major importance for describing patterns of disease and generating hypotheses on causal factors, for assessing the impact of this condition and its co-morbidities on patients, families and the community, for evaluating the burden of acromegaly on the health care system and for providing guidance on optimal allocation of resources (clinical and research) which will ultimately lead to improvement of patient outcomes. In this review, we will systematically analyse the epidemiological profile of acromegaly based on recently published population studies from various geographical areas. Data from cancer registries or isolated tertiary referral centres will not be assessed; the former tend to suffer from under-reporting of benign tumours including pituitary adenomas and the latter are affected by selection bias and wide variations in the referral patterns across the world.

Epidemiology of acromegaly

The population studies assessing the epidemiology of acromegaly are shown in Table 1.
Table 1

Prevalence, incidence and age at diagnosis of acromegaly in population studies

ReferencePopulation coveredPrevalence (per 100,000)Annual incidence (per 100,000)Age at diagnosis (years)Median (range)
TotalMalesFemalesTotalMalesFemalesTotalMalesFemales
Fernandez et al. [3]81,4498.64.93.7NANANA47 (30–63)48.5 (30–52)45 (39–63)
Daly et al. [4]71,97212.58.34.2NANANA47 (17–65)41 (19–65)56 (17–63)
Tjornstrand et al. [5]1,590,6403.31.71.60.40.40..4NANANA
Agustsson et al. [6]321,85713.79.04.7NA0.80.445 (4–83)45.0 (15–83)44 (4–75)
Hoskuldsdottir et al. [7]316,07513.3NANA0.8NANA44.5a (24.5–49.7)NANA
Raappana et al. [8]722,000 –733,000NANANA0.30.40.340.5 (12–69)4138
Dal et al. [9]5,534,7388.5NANA0.4NANA48.7a (47.2–50.1)NANA
Bex et al. [10]10,850,0004NANA0.2NANANA42 (8–81)46 (17–80)
Mestron et al. [11]Population of Spain in 20013.4NANA0.2NANA45a NANA
Gruppetta et al. [12]417,60812.410.614.30.30.20.444 (19–69)36.5 (19–69)49.5 (28–68)
Burton et al. [13]50,170,9467.87.77.71.11.01.241a NANA
Kwon et al. [14]48,456.3692.81.31.50.4NANA44.1a 42.2a 45.5a

NA not available

aMean

Prevalence, incidence and age at diagnosis of acromegaly in population studies NA not available aMean

Details of populations studied

Most of the published population studies have been conducted in Europe. Fernandez et al. [3] performed a community based cross-sectional study through a computer database search in fourteen General Practice surgeries covering the urban and rural areas of Banbury (Oxford, UK). Daly et al. [4] completed a cross-sectional, case-finding study covering three regions in the Province of Liege, Belgium. The patients were identified by general practitioners and relevant specialists working in public/private practice and further information was sought from hospital case files or other relevant clinical records. Tjornstrand et al. [5] identified patients from the Swedish Pituitary Registry and medical records from six hospitals in a county of western Sweden. Agustsson et al. [6] performed a nationwide population study in Iceland and information was obtained from medical records at the National University Hospital, three district hospitals, all privately practicing endocrinologists and gynaecologists in the country, all radiology departments in Iceland, the Icelandic Cancer Registry, the department of pathology and the Icelandic Heart Association. Hoskuldsdottir et al. [7] collected data from the medical records at the National University Hospital in Iceland, the largest hospital out of the capital, the largest private outpatient clinic in Iceland and from all endocrinologists treating adult patients in the country. Raappana et al. [8] obtained information from Oulu University Hospital in which the great majority of patients with pituitary tumor from the four northernmost provinces of Finland are referred. Dal et al. [9] covered the entire population of Denmark and obtained data from the Danish National Patient Registry, the Danish Civil Registration System and the Danish Register of Causes of Death. Bex et al. [10] collected information on patients with acromegaly through a nationwide survey involving all endocrinologists managing patients with pituitary disorders in Belgium and the Grand Duchy of Luxembourg (the University Hospital of Liege and some local centers did not take part). Mestron et al. [11] analyzed data from the Spanish acromegaly registry in which patients were voluntarily registered by the managing physicians. Gruppetta et al. [12] carried out a thorough search for patients with pituitary adenoma in the central hospital registries covering the Maltese islands. In the Burton et al. [13] study, the source population was derived from a large health insurance database which contains medical and pharmacy claims, and enrollment information from a geographically diverse group of health plans in the USA. The main limitation of this study is that only cases with a related medical claim were captured leading to possible underestimation of true prevalence. Finally, Kwon et al. [14], in a nationwide survey in South Korea selected 74 secondary and tertiary care hospitals where patients with acromegaly were diagnosed or treated by both endocrinologists and neurosurgeons. In the above studies, the sources of information used tend to be extensive and may be sufficient for the identification of the majority of the relevant cases. However, the impact of each national health system, the referral pathways and policies, the accuracy of reporting/registering patients in national databases and the extend of involvement of the private sector in the diagnosis and management of subjects with acromegaly need to be taken into account.

Prevalence, incidence, sex distribution and age at diagnosis

The total prevalence ranges between 2.8 and 13.7 cases per 100,000 people [3-14]. The highest rates have been reported in two studies covering Iceland [6, 7] and in one from the Maltese islands [12], whereas the lowest has been found by Kwon et al. [14], Tjornstrand et al. [5] and Mestron et al. [11]. Notably, the last two studies obtained information from the Swedish Pituitary Registry and the Spanish acromegaly registry, respectively, and the possibility of under-reporting cannot be excluded. It should be also pointed out that the two studies from Iceland [6, 7] cover the same population and have a significant overlap in the sources of their data; this could sway the overall results and they should not be considered as independent from each other. In most studies, there is a rather equal distribution of prevalence between males and females, with the exception of Daly et al. [4] and Agustsson et al. [6], in which men showed prevalence rates twice as high as those of women. The incidence rates range between 0.2 and 1.1 cases/100,000 people and the very small numbers make it difficult to reach conclusions for potential differences between the sexes (males: 0.2–1.0/100,000/year and females 0.3–1.2/100,000/year) [5-14]. Previously published studies (between 1980 and 2001) have reported prevalence between 3.8 and 6.9/100,000 and incidence rates between 0.28 and 0.4/100,000 [15-19]. The higher rates of the contemporary studies may be attributed to the methodology used (source of data: population vs tertiary referral centres, intensive case searching approaches), to the increased awareness of pituitary disease and the advances in the diagnostic tools, to the fact that affected patients may seek medical attention earlier in the last years or they may reflect a true increase in the prevalence. The median age at diagnosis is similar in all reports—fifth decade of life—and ranges between 40.5 and 47 years (males: 36.5–48.5 and females 38–56) [3, 4, 6, 8, 10, 12]. It is of note that relevant epidemiological data on gigantism or young-onset acromegaly are sparse and this is mainly attributed to the rarity of this entity; Daly et al. [4] and Kwon et al. [14] reported that amongst the patients with acromegaly identified, 22.2 and 2.4 %, respectively were aged between 0 and 19 years. In such cases, and particularly given the recent advances in the genetics of acromegaly, genetic causes need to be considered [20].

Presentation and diagnostic delay

The frequency of the presenting manifestations has been systematically assessed in two population studies (Table 2). Acral enlargement and coarse facial features are the most commonly described (78.8–85.7 % and 71.2–71.4 %, respectively) followed by headaches, macroglossia, increased sweating, arthralgias, increased skin thickness, snoring, tiredness and carpal tunnel syndrome [3, 7]. Hoskuldsdottir et al. [7] also looked at the presence of comorbidities at diagnosis and reported hypertension in 48 %, diabetes mellitus in 13 %, impaired glucose tolerance in 19 %, heart failure in 10 % and coronary artery disease in 8 % of the cases. It should be noted however, that the reliability of the published information may be affected by the accuracy of documentation during the history taking and this needs to be taken into account when reviewing the frequency of the presenting signs and symptoms.
Table 2

Clinical manifestations of acromegaly at diagnosis as reported in population studies

ReferencePresenting manifestations (%)
Acral enlargementHeadachesCoarse facial features/change of facial bonesMacro-glossiaIncreased sweatingSkin thickeningSnoringArthralgiasCarpal tunnel syndromeTirednessVisual field defects/visual disturbances
Fernandez et al. [3]85.7NA71.4NA51.7NA28.628.614.314.3NA
Hoskuldsdottir et al. [7]78.855.871.246.244.238.5NA50NA38.534.6

NA not available

Clinical manifestations of acromegaly at diagnosis as reported in population studies NA not available The duration of symptoms until diagnosis, which may in a large part be due to diagnostic delay, is still considerable, with median estimated intervals of 4.5–5 years; however, delays of 15 or even 25 years have been reported, in accord with the insidious onset of symptomatology (Table 3) [3, 4, 7, 11]. It should be noted though that the actual duration of the disease is not uniformly collected or determined and the relevant information, as provided by the patient, may be subjective and prone to recall bias. Nonetheless, these data highlight the need for enhancing the awareness of acromegaly amongst clinicians aiming to reduce the adverse sequelae of late detection and management.
Table 3

Duration of symptoms until diagnosis in acromegaly as reported in population studies

ReferenceDuration of symptoms until diagnosis (years)Median (range)
Total populationMalesFemales
Fernandez et al. [3]Median 4.5 (range 1.5–15.0)Median 3.0 (range 1.5–15.0)Median 6.0 (range 3.0–15.0)
Daly et al. [4]Median 5 (range 1–25)Median 5.5 (range 1–25)Median 3 (range 1.6–5)
Hoskuldsdottir et al. [7]“for more than 3 years in most cases”NANA
Mestron et al. [11]“the patients’ estimates of the year in which symptoms began was around 5 years before diagnosis”NANA

NA not available

Duration of symptoms until diagnosis in acromegaly as reported in population studies NA not available At the time of detection, most cases are macroadenomas (>2/3 of cases); this may relate to diagnostic delays and poses challenges in the surgical management of these tumors (Table 4) [3–6, 8–12, 14].
Table 4

Frequency of macro- and microadenomas in patients with acromegaly as reported in population studies

ReferenceAdenoma size
Macroadenoma (% of cases)Microadenoma (% of cases)
MalesFemalesMalesFemales
Fernandez et al. [3]85.714.3
Daly et al. [4]88.9a 0
10066.7a 00a
Tjornstrand et al. [5]78772223
Agustsson et al. [6]62.571.428.123.8
Raappana et al. [8]7822
Dal et al. [9]6931
Bex et al. [10]79a 16a
Mestron et al. [11]69a 25.8a
Gruppetta et al. [12]73.126.9
68.276.731.823.3
Kwon et al. [14]82.917.1

aPercentages do not add up to 100 due to cases with unknown tumor size

Frequency of macro- and microadenomas in patients with acromegaly as reported in population studies aPercentages do not add up to 100 due to cases with unknown tumor size Epidemiological data on the prevalence of familial acromegaly are limited. Bex et al. [10] identified four patients with MEN1 and two with Familial Isolated Pituitary Adenoma (FIPA)—somatotropinoma in a total of 418 acromegalics giving rates of 0.95 and 0.48 %, respectively. Mestron et al. [11] found three patients with MEN1 in a total of 1219 subjects included in the Spanish Acromegaly Registry (0.25 %).

Conclusions

The rarity of acromegaly necessitates large population studies for the generation of reliable epidemiological data. In the last few years, a number of reports based on different geographical areas and variable health systems have provided information on the prevalence and incidence of this condition and suggest 2.8–13.7 cases per 100,000 people and 0.2–1.1 cases/100,000 people/year, respectively. Whether these rates may change with the application of screening of patients with acromegaly-associated conditions remains to be clarified. The diagnostic delay is still considerable and the disease is usually confirmed in the fifth decade of life affecting economically active individuals; this translates into loss of productivity, social and financial consequences and long-term burden on the health care system, necessitating increased awareness of this condition in the medical community. Further areas that remain to be clarified in the epidemiology of acromegaly include possible geographical variations and the impact of other factors (e.g. environmental, ethnic, sex, type of health care system, availability and access to health care resources), as well as data on early-onset and familial acromegaly and on mixed GH-prolactin secreting adenomas. The latter will require adequate powered population collaborative studies which are eagerly awaited in the future.
  20 in total

1.  Incidence of pituitary adenomas in Northern Finland in 1992-2007.

Authors:  Antti Raappana; John Koivukangas; Tapani Ebeling; Tapio Pirilä
Journal:  J Clin Endocrinol Metab       Date:  2010-06-09       Impact factor: 5.958

2.  Epidemiology and long-term survival in acromegaly. A study of 166 cases diagnosed between 1955 and 1984.

Authors:  B A Bengtsson; S Edén; I Ernest; A Odén; B Sjögren
Journal:  Acta Med Scand       Date:  1988

3.  The incidence and prevalence of acromegaly, a nationwide study from 1955 through 2013.

Authors:  Gudrun Thuridur Hoskuldsdottir; Sigridur Bara Fjalldal; Helga Agusta Sigurjonsdottir
Journal:  Pituitary       Date:  2015-12       Impact factor: 4.107

Review 4.  Pituitary tumours.

Authors:  J R Davis; W E Farrell; R N Clayton
Journal:  Reproduction       Date:  2001-03       Impact factor: 3.906

5.  Acromegaly: an endocrine society clinical practice guideline.

Authors:  Laurence Katznelson; Edward R Laws; Shlomo Melmed; Mark E Molitch; Mohammad Hassan Murad; Andrea Utz; John A H Wass
Journal:  J Clin Endocrinol Metab       Date:  2014-10-30       Impact factor: 5.958

6.  AcroBel--the Belgian registry on acromegaly: a survey of the 'real-life' outcome in 418 acromegalic subjects.

Authors:  Marie Bex; Roger Abs; Guy T'Sjoen; Jean Mockel; Brigitte Velkeniers; Katja Muermans; Dominique Maiter
Journal:  Eur J Endocrinol       Date:  2007-10       Impact factor: 6.664

7.  Prevalence of pituitary adenomas: a community-based, cross-sectional study in Banbury (Oxfordshire, UK).

Authors:  Alberto Fernandez; Niki Karavitaki; John A H Wass
Journal:  Clin Endocrinol (Oxf)       Date:  2009-07-24       Impact factor: 3.478

8.  Acromegaly incidence, prevalence, complications and long-term prognosis: a nationwide cohort study.

Authors:  Jakob Dal; Ulla Feldt-Rasmussen; Marianne Andersen; Lars Ø Kristensen; Peter Laurberg; Lars Pedersen; Olaf M Dekkers; Henrik Toft Sørensen; Jens Otto L Jørgensen
Journal:  Eur J Endocrinol       Date:  2016-06-08       Impact factor: 6.664

9.  Ascertainment and natural history of treated acromegaly in Northern Ireland.

Authors:  C M Ritchie; A B Atkinson; A L Kennedy; A R Lyons; D S Gordon; T Fannin; D R Hadden
Journal:  Ulster Med J       Date:  1990-04

10.  Incidence and prevalence of acromegaly in a large US health plan database.

Authors:  Tanya Burton; Elisabeth Le Nestour; Maureen Neary; William H Ludlam
Journal:  Pituitary       Date:  2016-06       Impact factor: 4.107

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  56 in total

Review 1.  Acromegaly in Carney complex.

Authors:  T Cuny; T T Mac; P Romanet; H Dufour; I Morange; F Albarel; A Lagarde; F Castinetti; T Graillon; M O North; A Barlier; T Brue
Journal:  Pituitary       Date:  2019-10       Impact factor: 4.107

2.  The acromegalic spine: fractures, deformities and spinopelvic balance.

Authors:  Bruno de Azevedo Oliveira; Bruna Araujo; Tainá Mafalda Dos Santos; Bárbara Roberta Ongaratti; Carolina Garcia Soares Leães Rech; Nelson Pires Ferreira; Júlia Fernanda Semmelmann Pereira-Lima; Miriam da Costa Oliveira
Journal:  Pituitary       Date:  2019-12       Impact factor: 4.107

3.  Acromegaly in the setting of Tatton-Brown-Rahman Syndrome.

Authors:  C Hage; E Sabini; H Alsharhan; J A Fahrner; A Beckers; A Daly; R Salvatori
Journal:  Pituitary       Date:  2020-04       Impact factor: 4.107

4.  Epidemiology of acromegaly in Italy: analysis from a large longitudinal primary care database.

Authors:  Federico Gatto; Gianluca Trifirò; Francesco Lapi; Francesco Cocchiara; Claudia Campana; Carlotta Dell'Aquila; Carmen Ferrajolo; Marica Arvigo; Claudio Cricelli; Massimo Giusti; Diego Ferone
Journal:  Endocrine       Date:  2018-05-24       Impact factor: 3.633

5.  Physical exercise improves functional capacity and quality of life in patients with acromegaly: a 12-week follow-up study.

Authors:  Tatiana Rafaela Lemos Lima; Leandro Kasuki; Monica Gadelha; Agnaldo José Lopes
Journal:  Endocrine       Date:  2019-07-17       Impact factor: 3.633

Review 6.  Acromegaly in the elderly patients.

Authors:  Maria Rosaria Ambrosio; Irene Gagliardi; Sabrina Chiloiro; Ana Gonçalves Ferreira; Marta Bondanelli; Antonella Giampietro; Antonio Bianchi; Laura De Marinis; Maria Fleseriu; Maria Chiara Zatelli
Journal:  Endocrine       Date:  2020-02-14       Impact factor: 3.633

7.  IGF-1-based screening reveals a low prevalence of acromegaly in patients with obstructive sleep apnea.

Authors:  Daniel A Heinrich; Claudia Reinholz; Maximilian Bauer; Amanda Tufman; Richard Frohner; Jochen Schopohl; Martin Bidlingmaier; Robert P Kosilek; Martin Reincke; Harald J Schneider
Journal:  Endocrine       Date:  2018-01-31       Impact factor: 3.633

8.  Gender differences and temporal trends over two decades in acromegaly: a single center study in 112 patients.

Authors:  Adriana G Ioachimescu; Talin Handa; Neevi Goswami; Adlai L Pappy; Emir Veledar; Nelson M Oyesiku
Journal:  Endocrine       Date:  2019-11-01       Impact factor: 3.633

9.  Potential markers of disease behavior in acromegaly and gigantism.

Authors:  Laura C Hernández-Ramírez
Journal:  Expert Rev Endocrinol Metab       Date:  2020-05-06

10.  Biochemical Control in Acromegaly With Multimodality Therapies: Outcomes From a Pituitary Center and Changes Over Time.

Authors:  Alireza Ghajar; Pamela S Jones; Francisco J Guarda; Alex Faje; Nicholas A Tritos; Karen K Miller; Brooke Swearingen; Lisa B Nachtigall
Journal:  J Clin Endocrinol Metab       Date:  2020-03-01       Impact factor: 5.958

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