Literature DB >> 30069856

Use of administrative health databases to estimate incidence and prevalence of acromegaly in Piedmont Region, Italy.

M Caputo1, A Ucciero2, C Mele1, L De Marchi1, C Magnani2, T Cena2, P Marzullo1, F Barone-Adesi3, G Aimaretti4.   

Abstract

PURPOSE: Recent studies from national registries have described changing patterns in epidemiology of acromegaly. Our retrospective study used administrative databases to estimate prevalence and incidence of acromegaly in the Piedmont Region, Italy.
METHODS: This study was conducted in Piedmont between 2012 and 2016 on administrative health databases for inpatients and outpatients of any age. Enrollees were included if claims suggestive of acromegaly were identified in at least two of the following databases: Drug Claims Registry, Hospital Information System, Co-payment Exemption Registry and Outpatient Specialist Service Information System.
RESULTS: 369 individuals (M = 146, F = 223) met our criteria. Overall incidence was 5.3 per million person years (95% CI 4.2-6.7), and prevalence was 83 cases per million inhabitants (95% CI 75-92). Mean age was 50.9 years. Both incidence and prevalence were slightly higher among women (rate ratio 1.08, prevalence ratio 1.43). Age-specific incidence was similar between sexes up to 39 years and diverged thereafter, with an increasing trend recorded among men. Prevalence was higher in women aged 40-79 years, and increased continuously up to 79 years in both sexes.
CONCLUSIONS: This is the first population-based study conducted in Italy to estimate incidence and prevalence of acromegaly and results show a higher prevalence than previously reported. Although our algorithm requires proper validation, it constitutes a promising tool to describe the epidemiology of acromegaly.

Entities:  

Keywords:  Acromegaly; Administrative health databases; Algorithm; Incidence; Prevalence

Mesh:

Year:  2018        PMID: 30069856     DOI: 10.1007/s40618-018-0928-7

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


  9 in total

1.  Evaluation of acromegaly treatment direct costs with respect to biochemical control and follow-up length.

Authors:  Francesco Cocchiara; Claudia Campana; Federica Nista; Giuliana Corica; Marco Ceraudo; Angelo Milioto; Diego Criminelli Rossi; Gianluigi Zona; Diego Ferone; Federico Gatto
Journal:  Pituitary       Date:  2021-11-10       Impact factor: 4.107

2.  Risk of Severe Infection among Rheumatoid Arthritis Patients on Biological DMARDs: A Population-Based Cohort Study.

Authors:  Mattia Bellan; Lorenza Scotti; Daniela Ferrante; Elisa Calzaducca; Giulia Francesca Manfredi; Pier Paolo Sainaghi; Francesco Barone-Adesi
Journal:  J Clin Med       Date:  2022-05-24       Impact factor: 4.964

3.  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

Review 4.  Epidemiology of Functioning Pituitary Adenomas.

Authors:  Sang Ouk Chin
Journal:  Endocrinol Metab (Seoul)       Date:  2020-06-24

Review 5.  Precision Therapy in Acromegaly Caused by Pituitary Tumors: How Close Is It to Reality?

Authors:  Cheol Ryong Ku; Vladimir Melnikov; Zhaoyun Zhang; Eun Jig Lee
Journal:  Endocrinol Metab (Seoul)       Date:  2020-06-24

6.  AIP-mutated acromegaly resistant to first-generation somatostatin analogs: long-term control with pasireotide LAR in two patients.

Authors:  Adrian F Daly; Liliya Rostomyan; Daniela Betea; Jean-François Bonneville; Chiara Villa; Natalia S Pellegata; Beatrice Waser; Jean-Claude Reubi; Catherine Waeber Stephan; Emanuel Christ; Albert Beckers
Journal:  Endocr Connect       Date:  2019-04       Impact factor: 3.335

Review 7.  Advances in Research on the Cardiovascular Complications of Acromegaly.

Authors:  Han Yang; Huiwen Tan; He Huang; Jianwei Li
Journal:  Front Oncol       Date:  2021-04-02       Impact factor: 6.244

8.  Development and testing of diagnostic algorithms to identify patients with acromegaly in Southern Italian claims databases.

Authors:  Salvatore Crisafulli; Andrea Fontana; Luca L'Abbate; Valentina Ientile; Daniele Gianfrilli; Alessia Cozzolino; Maria Cristina De Martino; Marta Ragonese; Janet Sultana; Francesco Barone-Adesi; Gianluca Trifirò
Journal:  Sci Rep       Date:  2022-09-23       Impact factor: 4.996

9.  Potentially Inappropriate Prescribing among Elderly Outpatients: Evaluation of Temporal Trends 2012-2018 in Piedmont, Italy.

Authors:  Federica Galimberti; Manuela Casula; Lorenza Scotti; Elena Olmastroni; Daniela Ferrante; Andrealuna Ucciero; Elena Tragni; Alberico Luigi Catapano; Francesco Barone-Adesi
Journal:  Int J Environ Res Public Health       Date:  2022-03-18       Impact factor: 3.390

  9 in total

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