Literature DB >> 34757473

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

Francesco Cocchiara1,2, Claudia Campana1, Federica Nista1, Giuliana Corica1, Marco Ceraudo3, Angelo Milioto1, Diego Criminelli Rossi3, Gianluigi Zona3, Diego Ferone1,2, Federico Gatto4.   

Abstract

PURPOSE: Acromegaly is a severe chronic endocrine disease. Achieving biochemical control often needs a multimodal treatment approach, including prolonged medical treatment. Aim of the study is to evaluate the burden of treatment direct costs with respect to the different therapeutic strategies, disease control, and follow-up length.
METHODS: Single center retrospective study on 73 acromegaly patients. Costs of acromegaly treatments were computed based on a detailed revision of patients' clinical charts.
RESULTS: Median total treatment cost/patient was €47,343 during the entire follow-up (8 years), while median treatment cost/patient/year was €6811. The majority of patients received medical therapy (71/73, 97.3%). Median cost for first-line medical treatment (first-generation somatostatin receptor ligands) was lower compared to second-line treatments (pegvisomant monotherapy or combination therapies), considering both total (€22,824 vs €76,140; p < 0.001), and yearly cost/patient (€4927 vs €9161; p < 0.001). Sixty patients (82.2%) reached biochemical control at last follow-up (IGF-1 ≤ 1 xULN). The percentage of patients treated with first- or second-line medical therapies was comparable between controlled and uncontrolled patients (p = 1.000), and the yearly cost/patient did not significantly differ between the two groups (€6936 vs €6680; p = 0.829). Follow-up duration was significantly longer in controlled patients compared to the uncontrolled ones (8.7 vs 3.5 years; p = 0.019).
CONCLUSIONS: Direct costs for the management of acromegaly have a significant burden on the healthcare systems. However, more than 80% of our patients reached biochemical control using multimodal approaches. Treatment modalities and yearly costs did not significantly differ between controlled and uncontrolled patients, while follow-up length represented a major determinant of biochemical outcome.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Acromegaly; Biochemical control; Direct costs; Follow-up; Healthcare; Medical therapy

Mesh:

Substances:

Year:  2021        PMID: 34757473     DOI: 10.1007/s11102-021-01193-w

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


  32 in total

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

Authors:  M Caputo; A Ucciero; C Mele; L De Marchi; C Magnani; T Cena; P Marzullo; F Barone-Adesi; G Aimaretti
Journal:  J Endocrinol Invest       Date:  2018-08-01       Impact factor: 4.256

2.  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

3.  Surgical debulking of pituitary adenomas improves responsiveness to octreotide lar in the treatment of acromegaly.

Authors:  Rudolf Fahlbusch; David Kleinberg; Beverly Biller; Vivien Bonert; Michael Buchfelder; Paolo Cappabianca; John Carmichael; William Chandler; Annamaria Colao; Ajax George; Anne Klibanski; Edmond Knopp; Juergen Kreutzer; Neehar Kundurti; Martin Lesser; Adam Mamelak; Rosario Pivonello; Kalmon Post; Brooke Swearingen; Mary Lee Vance; Ariel Barkan
Journal:  Pituitary       Date:  2017-12       Impact factor: 4.107

Review 4.  Current perspectives on the impact of clinical disease and biochemical control on comorbidities and quality of life in acromegaly.

Authors:  Federico Gatto; Claudia Campana; Francesco Cocchiara; Giuliana Corica; Manuela Albertelli; Mara Boschetti; Gianluigi Zona; Diego Criminelli; Massimo Giusti; Diego Ferone
Journal:  Rev Endocr Metab Disord       Date:  2019-09       Impact factor: 6.514

Review 5.  Surgical interventions and medical treatments in treatment-naïve patients with acromegaly: systematic review and meta-analysis.

Authors:  Abd Moain Abu Dabrh; Khaled Mohammed; Noor Asi; Wigdan H Farah; Zhen Wang; Magdoleen H Farah; Larry J Prokop; Laurence Katznelson; Mohammad Hassan Murad
Journal:  J Clin Endocrinol Metab       Date:  2014-10-30       Impact factor: 5.958

Review 6.  Acromegaly pathogenesis and treatment.

Authors:  Shlomo Melmed
Journal:  J Clin Invest       Date:  2009-11-02       Impact factor: 14.808

7.  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

8.  Global epidemiology of acromegaly: a systematic review and meta-analysis.

Authors:  Salvatore Crisafulli; Nicoletta Luxi; Janet Sultana; Andrea Fontana; Federica Spagnolo; Giuseppe Giuffrida; Francesco Ferraù; Daniele Gianfrilli; Alessia Cozzolino; Maria Cristina De Martino; Federico Gatto; Francesco Barone-Adesi; Salvatore Cannavò; Gianluca Trifirò
Journal:  Eur J Endocrinol       Date:  2021-07-01       Impact factor: 6.664

Review 9.  Interpreting biochemical control response rates with first-generation somatostatin analogues in acromegaly.

Authors:  Annamaria Colao; Renata S Auriemma; Rosario Pivonello; Leandro Kasuki; Mônica R Gadelha
Journal:  Pituitary       Date:  2016-06       Impact factor: 4.107

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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