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Real-world data on new users of atypical antipsychotics: characterisation, prescription patterns, healthcare costs and early cardio-metabolic occurrences from a large Italian database

Abstract

Purpose

To describe new users of atypical antipsychotics (APs) in terms of sociodemographic characteristics, cardio-metabolic risk profile, prescription patterns, healthcare costs and cardio-metabolic events over the 24 months after treatment initiation.

Methods

Atypical AP new users were selected from the ReS database and grouped into three: patients already affected by cardio-metabolic diseases (group A), patients without these clinical conditions but with predisposing conditions (group B) and patients without cardio-metabolic diseases and predisposing conditions (group C). Annual prescription patterns and healthcare costs were analysed. Subjects of groups B and C were matched with controls to compare the occurrences of cardio-metabolic events over 24 months.

Results

Thirty-two thousand thirty-four new users of atypical APs were selected (median age 69). The 22.3% had cardio-metabolic diseases, 14.8% had predisposing conditions and 62.9% had none of these. The 99.3% received monotherapy. The mean annual cost per patient was €2785, and the median cost was €1108. After 24 months, a cardio-metabolic event occurred in 11.5% of group B vs. 8.7% of the controls (p < .01), and in 5.0% of group C vs. 2.1% of the controls (p < .01).

Conclusion

Patients treated with atypical AP were on average old and, in a non-negligible amount, with cardio-metabolic disease or predisposing conditions. New users of atypical APs showed a significantly higher likelihood to develop a cardio-metabolic event early after treatment initiation.

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References

  1. 1.

    Halfdanarson O, Zoega H, Aagaard L, Bernardo M, Brandt L, Fuste AC, Furu K, Garuoliene K, Hoffmann F, Huybrechts KF, Kalverdijk LJ, Kawakami K, Kieler H, Kinoshita T, Litchfield M, Lopez SC, Machado-Alba JE, Machado-Duque ME, Mahesri M, Nishtala PS, Pearson SA, Reutfors J, Saastamoinen LK, Sato I, Schuiling-Veninga CCM, Shyu YC, Skurtveit S, Verdoux H, Wang LJ, Yahni CZ, Bachmann CJ (2017) International trends in antipsychotic use: a study in 16 countries, 2005–2014. Eur Neuropsychopharmacol 27(10):1064–1076. https://doi.org/10.1016/j.euroneuro.2017.07.001

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Trifiro G, Spina E, Brignoli O, Sessa E, Caputi AP, Mazzaglia G (2005) Antipsychotic prescribing pattern among Italian general practitioners: a population-based study during the years 1999–2002. Eur J Clin Pharmacol 61(1):47–53. https://doi.org/10.1007/s00228-004-0868-3

    Article  PubMed  Google Scholar 

  3. 3.

    Baandrup L, Kruse M (2016) Incident users of antipsychotics: who are they and how do they fare? Soc Psychiatry Psychiatr Epidemiol 51(4):505–512. https://doi.org/10.1007/s00127-015-1129-8

    Article  PubMed  Google Scholar 

  4. 4.

    Marston L, Nazareth I, Petersen I, Walters K, Osborn DP (2014) Prescribing of antipsychotics in UK primary care: a cohort study. BMJ Open 4(12):e006135. https://doi.org/10.1136/bmjopen-2014-006135

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Maher AR, Maglione M, Bagley S, Suttorp M, Hu JH, Ewing B, Wang Z, Timmer M, Sultzer D, Shekelle PG (2011) Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis. Jama 306(12):1359–1369. https://doi.org/10.1001/jama.2011.1360

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Hojlund M, Pottegard A, Johnsen E, Kroken RA, Reutfors J, Munk-Jorgensen P, Correll CU (2019) Trends in utilization and dosing of antipsychotic drugs in Scandinavia: comparison of 2006 and 2016. Br J Clin Pharmacol 85(7):1598–1606. https://doi.org/10.1111/bcp.13945

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Oteri A, Mazzaglia G, Pecchioli S, Molokhia M, Ulrichsen SP, Pedersen L, Poluzzi E, De Ponti F, Garbe E, Schink T, Herings R, Bezemer ID, Sturkenboom MC, Trifiro G (2016) Prescribing pattern of antipsychotic drugs during the years 1996–2010: a population-based database study in Europe with a focus on torsadogenic drugs. Br J Clin Pharmacol 82(2):487–497. https://doi.org/10.1111/bcp.12955

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Sultana J, Fontana A, Giorgianni F, Pasqua A, Cricelli C, Spina E, Gambassi G, Ivanovic J, Ferrajolo C, Molokhia M, Ballard C, Sharp S, Sturkenboom M, Trifiro G (2016) The effect of safety warnings on antipsychotic drug prescribing in elderly persons with dementia in the United Kingdom and Italy: a population-based study. CNS Drugs 30(11):1097–1109. https://doi.org/10.1007/s40263-016-0366-z

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Gareri P, Segura-Garcia C, Manfredi VG, Bruni A, Ciambrone P, Cerminara G, De Sarro G, De Fazio P (2014) Use of atypical antipsychotics in the elderly: a clinical review. Clin Interv Aging 9:1363–1373. https://doi.org/10.2147/cia.s63942

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Orsolini L, Tomasetti C, Valchera A, Vecchiotti R, Matarazzo I, Vellante F, Iasevoli F, Buonaguro EF, Fornaro M, Fiengo AL, Martinotti G, Mazza M, Perna G, Carano A, De Bartolomeis A, Di Giannantonio M, De Berardis D (2016) An update of safety of clinically used atypical antipsychotics. Expert Opin Drug Saf 15(10):1329–1347. https://doi.org/10.1080/14740338.2016.1201475

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Leucht S, Cipriani A, Spineli L, Mavridis D, Örey D, Richter F, Samara M, Barbui C, Engel RR, Geddes JR, Kissling W, Stapf MP, Lässig B, Salanti G, Davis JM (2013) Comparative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia: a multiple-treatments meta-analysis. Lancet 382(9896):951–962. https://doi.org/10.1016/s0140-6736(13)60733-3

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Drici MD, Priori S (2007) Cardiovascular risks of atypical antipsychotic drug treatment. Pharmacoepidemiol Drug Saf 16(8):882–890. https://doi.org/10.1002/pds.1424

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Sacchetti E, Turrina C, Valsecchi P (2010) Cerebrovascular accidents in elderly people treated with antipsychotic drugs: a systematic review. Drug Saf 33(4):273–288. https://doi.org/10.2165/11319120-000000000-00000

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Spina E, Hiemke C, de Leon J (2016) Assessing drug-drug interactions through therapeutic drug monitoring when administering oral second-generation antipsychotics. Expert Opin Drug Metab Toxicol 12(4):407–422. https://doi.org/10.1517/17425255.2016.1154043

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    de Leon J, Spina E (2018) Possible pharmacodynamic and pharmacokinetic drug-drug interactions that are likely to be clinically relevant and/or frequent in bipolar disorder. Curr Psychiatry Rep 20(3):17. https://doi.org/10.1007/s11920-018-0881-3

    Article  PubMed  Google Scholar 

  16. 16.

    Hsu WT, Esmaily-Fard A, Lai CC, Zala D, Lee SH, Chang SS, Lee CC (2017) Antipsychotics and the risk of cerebrovascular accident: a systematic review and meta-analysis of observational studies. J Am Med Dir Assoc 18(8):692–699. https://doi.org/10.1016/j.jamda.2017.02.020

    Article  PubMed  Google Scholar 

  17. 17.

    Amiel JM, Mangurian CV, Ganguli R, Newcomer JW (2008) Addressing cardiometabolic risk during treatment with antipsychotic medications. Curr Opin Psychiatry 21(6):613–618. https://doi.org/10.1097/YCO.0b013e328314b74b

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Wang PS, Schneeweiss S, Avorn J, Fischer MA, Mogun H, Solomon DH, Brookhart MA (2005) Risk of death in elderly users of conventional vs. atypical antipsychotic medications. N Engl J Med 353(22):2335–2341. https://doi.org/10.1056/NEJMoa052827

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Schneeweiss S, Setoguchi S, Brookhart A, Dormuth C, Wang PS (2007) Risk of death associated with the use of conventional versus atypical antipsychotic drugs among elderly patients. CMAJ 176(5):627–632. https://doi.org/10.1503/cmaj.061250

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Jennum P, Baandrup L, Iversen HK, Ibsen R, Kjellberg J (2016) Mortality and use of psychotropic medication in patients with stroke: a population-wide, register-based study. BMJ Open 6(3):e010662. https://doi.org/10.1136/bmjopen-2015-010662

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Schneider LS, Dagerman KS, Insel P (2005) Risk of death with atypical antipsychotic drug treatment for dementia: meta-analysis of randomized placebo-controlled trials. Jama 294(15):1934–1943. https://doi.org/10.1001/jama.294.15.1934

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Gill SS, Bronskill SE, Normand SL, Anderson GM, Sykora K, Lam K, Bell CM, Lee PE, Fischer HD, Herrmann N, Gurwitz JH, Rochon PA (2007) Antipsychotic drug use and mortality in older adults with dementia. Ann Intern Med 146(11):775–786. https://doi.org/10.7326/0003-4819-146-11-200706050-00006

    Article  PubMed  Google Scholar 

  23. 23.

    Kales HC, Valenstein M, Kim HM, McCarthy JF, Ganoczy D, Cunningham F, Blow FC (2007) Mortality risk in patients with dementia treated with antipsychotics versus other psychiatric medications. Am J Psychiatry 164(10):1568–1576; quiz 1623. https://doi.org/10.1176/appi.ajp.2007.06101710

    Article  PubMed  Google Scholar 

  24. 24.

    Pasternak B, Svanstrom H, Ranthe MF, Melbye M, Hviid A (2014) Atypical antipsychotics olanzapine, quetiapine, and risperidone and risk of acute major cardiovascular events in young and middle-aged adults: a nationwide register-based cohort study in Denmark. CNS Drugs 28(10):963–973. https://doi.org/10.1007/s40263-014-0176-0

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Chiesa D, Marengoni A, Nobili A, Tettamanti M, Pasina L, Franchi C, Djade CD, Corrao S, Salerno F, Marcucci M, Romanelli G, Mannucci PM (2017) Antipsychotic prescription and mortality in hospitalized older persons. Psychogeriatrics 17(6):397–405. https://doi.org/10.1111/psyg.12263

    Article  PubMed  Google Scholar 

  26. 26.

    Piccinni C, Ronconi G, Calabria S, Dondi L, Forcesi E, Rossi E, Pedrini A, Martini N (2018) Healthcare resources utilisation in primary progressive multiple sclerosis. Neurological sciences 39(7):1169–1174. https://doi.org/10.1007/s10072-018-3404-4

    Article  PubMed  Google Scholar 

  27. 27.

    Piccinni C, Cevoli S, Ronconi G, Dondi L, Calabria S, Pedrini A, Esposito I, Favoni V, Pierangeli G, Cortelli P, Martini N (2019) A real-world study on unmet medical needs in triptan-treated migraine: prevalence, preventive therapies and triptan use modification from a large Italian population along two years. J Headache Pain 20(1):74. https://doi.org/10.1186/s10194-019-1027-7

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Cimminiello C, Dondi L, Pedrini A, Ronconi G, Calabria S, Piccinni C, Polo Friz H, Martini N, Maggioni AP (2019) Patterns of treatment with antiplatelet therapy after an acute coronary syndrome: data from a large database in a community setting. Eur J Prev Cardiol 26(8):836–846. https://doi.org/10.1177/2047487318814970

    Article  PubMed  Google Scholar 

  29. 29.

    ISTAT-Istituto Nazionale di Statistica (2014) Demography in figure. http://demo.istat.it/index_e.html. Accessed 10/12/2019

  30. 30.

    Cramer JA, Roy A, Burrell A, Fairchild CJ, Fuldeore MJ, Ollendorf DA, Wong PK (2008) Medication compliance and persistence: terminology and definitions. Value Health 11(1):44–47. https://doi.org/10.1111/j.1524-4733.2007.00213.x

    Article  PubMed  Google Scholar 

  31. 31.

    Leslie DL, Rosenheck R (2012) Off-label use of antipsychotic medications in Medicaid. Am J Manag Care 18(3):e109–e117

    PubMed  Google Scholar 

  32. 32.

    Alexander GC, Gallagher SA, Mascola A, Moloney RM, Stafford RS (2011) Increasing off-label use of antipsychotic medications in the United States, 1995–2008. Pharmacoepidemiol Drug Saf 20(2):177–184. https://doi.org/10.1002/pds.2082

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    De Hert M, Detraux J, van Winkel R, Yu W, Correll CU (2011) Metabolic and cardiovascular adverse effects associated with antipsychotic drugs. Nat Rev Endocrinol 8(2):114–126. https://doi.org/10.1038/nrendo.2011.156

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Kovacs G, Almasi T, Millier A, Toumi M, Horvath M, Koczian K, Gotze A, Kalo Z, Zemplenyi AT (2018) Direct healthcare cost of schizophrenia—European overview. Eur Psychiatry 48:79–92. https://doi.org/10.1016/j.eurpsy.2017.10.008

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Trifiro G, Gini R, Barone-Adesi F, Beghi E, Cantarutti A, Capuano A, Carnovale C, Clavenna A, Dellagiovanna M, Ferrajolo C, Franchi M, Ingrasciotta Y, Kirchmayer U, Lapi F, Leone R, Leoni O, Lucenteforte E, Moretti U, Mugelli A, Naldi L, Poluzzi E, Rafaniello C, Rea F, Sultana J, Tettamanti M, Traversa G, Vannacci A, Mantovani L, Corrao G (2019) The role of European healthcare databases for post-marketing drug effectiveness, safety and value evaluation: where does Italy stand? Drug Saf 42(3):347–363. https://doi.org/10.1007/s40264-018-0732-5

    Article  PubMed  Google Scholar 

  36. 36.

    Piccinni C, Piazza A, Poluzzi E, Tarricone I, Koci A, Berardi D, Fioritti A, de Ponti F (2015) Social and clinical descriptors of antipsychotic prescription. Int J Psychiatry Med 49(1):45–62. https://doi.org/10.2190/PM.49.1.d

    Article  PubMed  Google Scholar 

  37. 37.

    Sacchetti E, Trifiro G, Caputi A, Turrina C, Spina E, Cricelli C, Brignoli O, Sessa E, Mazzaglia G (2008) Risk of stroke with typical and atypical anti-psychotics: a retrospective cohort study including unexposed subjects. J Psychopharmacol (Oxford, England) 22(1):39–46. https://doi.org/10.1177/0269881107080792

    Article  Google Scholar 

  38. 38.

    van Walraven C, Austin P (2012) Administrative database research has unique characteristics that can risk biased results. J Clin Epidemiol 65(2):126–131. https://doi.org/10.1016/j.jclinepi.2011.08.002

    Article  PubMed  Google Scholar 

  39. 39.

    Suissa S (2008) Immortal time bias in pharmaco-epidemiology. Am J Epidemiol 167(4):492–499. https://doi.org/10.1093/aje/kwm324

    Article  PubMed  Google Scholar 

  40. 40.

    Fasseeh A, Nemeth B, Molnar A, Fricke FU, Horvath M, Koczian K, Gotze A, Kalo Z (2018) A systematic review of the indirect costs of schizophrenia in Europe. Eur J Pub Health 28(6):1043–1049. https://doi.org/10.1093/eurpub/cky231

    CAS  Article  Google Scholar 

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Funding

The study was partially supported by an unrestricted grant from Angelini S.p.A.

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Affiliations

Authors

Contributions

CP, LD, GR and APM conceived of the study. LD and GR analysed the data. CP, SC and CB wrote the first version of the article. AP, IE, APM, CB and NM contributed to the interpretation of the results and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Carlo Piccinni.

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Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

This is an observational non-interventional database study, reutilising administrative data for the purpose of addressing a research question. The study was conducted under specific agreements between Fondazione ReS and Italian Regional/Local Health Facilities participating in the ReS database. All these institutions have general legal and ethical frameworks that allow them to conduct research by making secondary use of administrative data and provided sufficient guarantee of individual records’ deidentification.

Informed consent

Not applicable.

Additional information

Part of the results of this study has been presented as abstracts to the 32nd ECNP (European College of Neuropsychopharmacology) Congress (7–10 September 2019, Copenhagen) and to the national meeting of the Italian Society of Psychiatry (21–23 June 2019, Firenze).

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Piccinni, C., Dondi, L., Ronconi, G. et al. Real-world data on new users of atypical antipsychotics: characterisation, prescription patterns, healthcare costs and early cardio-metabolic occurrences from a large Italian database. Eur J Clin Pharmacol 76, 1301–1310 (2020). https://doi.org/10.1007/s00228-020-02899-9

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Keywords

  • Atypical antipsychotic
  • Cardio-metabolic risk
  • Administrative data
  • Real-world evidence
  • Italy