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Neurol Ther
Neurol Ther
Neurology and Therapy
2193-8253
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Springer Healthcare Cheshire

39093539
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10.1007/s40120-024-00644-3
Original Research
Predicted Expenditure for Prescription Drugs for Multiple Sclerosis in the Italian Market Between 2023 and 2028: Results of the Oracle Project
Paolicelli Damiano 1
Borriello Giovanna 23
Clerici Raffaella 4
Colombo Elena 5
Croce Davide 6
D’Amico Emanuele 7
De Rossi Nicola 8
Di Sapio Alessia 9
Fenu Giuseppe 10
Maimone Davide 11
Marfia Girolama A. 12
Moccia Marcello 1314
Perini Paola 15
Piscaglia Maria G. 16
Razzolini Lorenzo 17
Riccaboni Massimo 18
Signoriello Elisabetta 19
Agostoni Gianluca 20
Farina Alberto 20
Mondino Margaret 20
Berruto Francesco 21
Tettamanti Alessia 21
http://orcid.org/0000-0001-9927-309X
Donnaloja Francesca francesca.donnaloja@iqvia.com

21
Tortorella Carla 22
1 https://ror.org/027ynra39 grid.7644.1 0000 0001 0120 3326 Department of Translational Biomedicines and Neurosciences, University of Bari Aldo Moro, Bari, Italy
2 grid.425670.2 0000 0004 1763 7550 Multiple Sclerosis Center, San Pietro Fatebenefratelli Hospital, Rome, Italy
3 grid.4691.a 0000 0001 0790 385X Department of Public Health, Federico II University, Naples, Italy
4 grid.417206.6 0000 0004 1757 9346 Operative Unit of Neurology, Valduce Hospital, Como, Italy
5 grid.419416.f 0000 0004 1760 3107 Multiple Sclerosis Centre, IRCCS Mondino Foundation, Pavia, Italy
6 grid.449672.a 0000000122875009 Centre for Health Economics, Social and Health Care Management, University Carlo Castanea - LIUC, Castellanza, Italy
7 https://ror.org/01xtv3204 grid.10796.39 0000 0001 2104 9995 Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
8 https://ror.org/015rhss58 grid.412725.7 Multiple Sclerosis Center, ASST Spedali Civili di Brescia – P.O. Montichiari, Montichiari, Italy
9 https://ror.org/04nzv4p86 grid.415081.9 0000 0004 0493 6869 Department of Neurology and CRESM (Regional Referral Multiple Sclerosis Centre), University Hospital San Luigi Gonzaga, Orbassano, Italy
10 grid.417308.9 0000 0004 1759 7536 Department of Neurology, Brotzu Hospital, Cagliari, Italy
11 Centro Sclerosi Multipla, UOC Neurologia, Azienda Ospedaliera per l’Emergenza Cannizzaro, Catania, Italy
12 grid.6530.0 0000 0001 2300 0941 Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
13 https://ror.org/02jr6tp70 grid.411293.c 0000 0004 1754 9702 Multiple Sclerosis Unit, Policlinico Federico II University Hospital of Naples, Naples, Italy
14 https://ror.org/05290cv24 grid.4691.a 0000 0001 0790 385X Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Naples, Italy
15 https://ror.org/00240q980 grid.5608.b 0000 0004 1757 3470 Department of Neurology, Multiple Sclerosis Center, University of Padua, Padua, Italy
16 grid.415207.5 0000 0004 1760 3756 Multiple Sclerosis Center, Santa Maria delle Croci Hospital, Ravenna, Italy
17 https://ror.org/04jr1s763 grid.8404.8 0000 0004 1757 2304 Department of Neurofarba, University of Florence, Florence, Italy
18 https://ror.org/035gh3a49 grid.462365.0 0000 0004 1790 9464 IMT School for Advanced Studies, Lucca, Italy
19 https://ror.org/02kqnpp86 grid.9841.4 0000 0001 2200 8888 Second Division of Neurology, Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
20 Sanofi S.r.l., Milan, Italy
21 grid.520433.3 IQVIA Solutions Italy S.r.l., Milan, Italy
22 grid.416308.8 0000 0004 1805 3485 Department of Neurosciences, Multiple Sclerosis Center, San Camillo-Forlanini Hospital, Rome, Italy
2 8 2024
2 8 2024
10 2024
13 5 14151430
19 4 2024
2 7 2024
© The Author(s) 2024
2024
https://creativecommons.org/licenses/by-nc/4.0/ Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
Introduction

Multiple sclerosis (MS) is a chronic neurodegenerative disease that leads to impaired cognitive function and accumulation of disability, with significant socioeconomic burden. Serious unmet need in the context of managing MS has given rise to ongoing research efforts, leading to the launch of new drugs planned for the near future, and subsequent concerns about the sustainability of healthcare systems. This study assessed the changes in the Italian MS market and their impact on the expenditures of the Italian National Healthcare Service between 2023 and 2028.

Methods

A horizon-scanning model was developed to estimate annual expenditure from 2023 to 2028. Annual expenditure for MS was calculated by combining the number of patients treated with each product (clinical inputs) and the yearly costs of therapy (economic inputs). Baseline inputs (2020–2022) were collected from IQVIA® real-world data, while input estimation for the 5-year forecast was integrated with analog analyses and the insights of clinicians and former payers.

Results

The number of equivalent patients treated in 2028 in Italy was estimated at around 67,000, with an increase of 10% versus 2022. In terms of treatment pattern evolution, first-line treatments are expected to reduce their shares from 47% in 2022 to 27% in 2028, and Bruton tyrosine kinase inhibitors are expected to reach 23% of patient shares. Overall, expenditure for MS is estimated to decrease from €721 million in 2022 to €551 million in 2028, mainly due to losses of exclusivity and renegotiation of drug prices.

Conclusion

Despite the increase in the number of patients treated for MS and the launch of new molecules that will reach high market penetration, the model confirmed sustainability for the Italian National Healthcare Service.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-024-00644-3.

Keywords

Multiple sclerosis
Costs
Forecast
Italian National Healthcare Service expenditure
BTKi
Treatment pattern
http://dx.doi.org/10.13039/100022824 Sanofi Italia issue-copyright-statement© Springer Healthcare Ltd., part of Springer Nature 2024
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pmcKey Summary Points

Why carry out this study?	
The launch of several new drugs in multiple sclerosis (MS) is expected in the near future, leading to concerns about sustainability for healthcare systems.	
This study assessed expected changes in the MS landscape in Italy and their impact on expenditure by the Italian National Healthcare Service between 2023 and 2028.	
What was learned from the study?	
The number of equivalent MS patients treated in 2028 in Italy is estimated to increase by around 10% versus 2022.	
First-line treatments currently in use are expected to progressively reduce their patient shares until 2028 in favor of treatments predominantly used as second line.	
Despite the increase in the number of patients treated for MS and the launch of new innovative molecules, expenditure for MS is estimated to decrease from €721 million in 2022 to €551 million in 2028, mainly due to loss of exclusivity and renegotiation of drug prices.	
The data collected to inform the model show long-term sustainability for the Italian National Healthcare Service and future availability of resources for new innovative treatment options.	

Introduction

Multiple sclerosis (MS) is a chronic demyelinating disease affecting the brain and spinal cord [1, 2]. It is the most common non-traumatic disabling disease in young adults, affecting over 2 million people, with a worldwide prevalence ranging from 50 to 300 per 100,000 [1]. The mean incidence in Italy was estimated as 3.54 per 100,000, with a higher number in women than men (4.52 vs. 2.52) [3]. Both the incidence and prevalence of MS are increasing globally, although the underlying cause of this remains uncertain [1, 4].

MS can manifest clinically through several modalities, including relapsing–remitting MS (RRMS), secondary progressive MS (SPMS, further subdivided into active [aSPMS] and non-relapsing [NR-SPMS]), and primary progressive MS (PPMS) [5]. Collectively, RRMS and aSPMS are also called relapsing MS (RMS). The most frequent phenotype is RRMS, but it is estimated that 10% of patients convert to SPMS at 10 years, 50% at 20 years, and more than 90% at 30 years [6]. The subdivision of MS into different forms is the subject of ongoing scientific debate, given that emerging evidence suggests that the disease is a continuum characterized by a common underlying biology. The accumulation of disability, more or less evident, can occur from the onset and is driven by a process of smoldering neuroinflammation, which develops in parallel to the acute inflammation phenomena typical of the RRMS phase. Today, the previously mentioned descriptors of disease progression hold regulatory significance for defining the therapeutic applications of treatments, though this situation may be re-evaluated considering new scientific evidence [5, 7].

The severity of the disease has led to a continuous search for agents with new mechanisms of action to improve the efficacy of treatment [8, 9]. Currently, disease-modifying therapies (DMTs) are the cornerstone of treatment for MS, and the number of DMTs approved for MS has expanded in recent decades (Table 1) [10]. DMTs can induce a relevant change in the clinical course of MS by targeting a range of mechanisms such as immune cell suppression and depletion (B-cell-depleting therapies, e.g., ocrelizumab), immune modulation (e.g., interferons, fumarates), and enhanced immune cell sequestration (e.g., fingolimod) [10].Table 1 Currently approved treatments for MS in Italy

Class	Active principle	Therapeutic indication	
RMS	PMS	
RRMS	aSPMS	PPMS	NR-SPMS	
Teriflunomide	teriflunomide	✔				
Interferons	interferon beta-1a	✔			
interferon beta-1b	✔	✔			
peginterferon beta-1a	✔				
Glatiramer acetate	glatiramer acetate	✔			
Fumarates	dimethyl fumarate	✔				
S1P modulators	fingolimod	✔				
siponimod		✔			
ponesimod	✔			
ozanimod	✔			
Anti-CD20	ofatumumab	✔			
ocrelizumab	✔	✔		
Anti-CD52	alemtuzumab	✔				
Cladribine	cladribine	✔			
Anti-alpha-4-integrin	natalizumab	✔				
The table shows, in order, class, active principle, and therapeutic indication as approved by the European Medicines Agency

RMS relapsing multiple sclerosis; RRMS relapsing–remitting multiple sclerosis; aSPMS active secondary progressive multiple sclerosis; PMS progressive multiple sclerosis; PPMS primary progressive multiple sclerosis; NR-SPMS non-relapsing secondary progressive multiple sclerosis

Despite the availability of different mechanisms of action, significant unmet needs still exist in the treatment of MS. Given the multifactorial pathogenesis of MS, none of the available DMTs is considered curative, as they are mainly aimed at controlling disease activity and reducing the rate of relapses [11]. Indeed, these drugs mainly target acute neuroinflammatory processes triggered by the migration of immune cells from the periphery into the central nervous system (CNS) and are largely ineffective when progression of the disease and accumulation of disability are driven by chronic neurodegeneration and smoldering inflammation [8]. Consequently, there are few to no treatment options that can satisfactorily modify the clinical course of the progressive forms of MS (i.e., aSPMS, PPMS, and NR-SPMS), which result in impaired cognitive function, accumulation of disability, reduced productivity, and significant limitations in daily activities.

The resulting socioeconomic burden has called for efforts to develop new therapeutic agents, as highlighted by the new products expected to be approved in the near future [8, 12–16]. In particular, according to information available as of November 2023, the launch of the monoclonal antibody ublituximab belonging to the α-CD20 class is expected in Italy, as it received marketing authorization from the EMA in May 2023 [17]. In addition, the Bruton tyrosine kinase inhibitors (BTKis) which are now in phase 3 studies will likely be launched in the Italian market by 2028 [18]. Acting as modulators of BTK, BTKis have the potential to influence both acute neuroinflammatory responses and chronic, compartmentalized neuroinflammatory processes, as well as neurodegeneration, by crossing the blood–brain barrier and targeting resident immune cells [8, 19]. The potency and selectivity of each BTKi are determined by their unique pharmacokinetic and pharmacodynamic profiles, leading to variations in their effectiveness and action [20, 21]. BTKis are also expected to have greater clinical efficacy than currently available treatment for progressive forms of MS [22]. In line with this, the BTKi tolebrutinib is under investigation as a potential treatment for NR-SPMS, a condition for which there are no approved therapies at present [23], as well as for PPMS, for which ocrelizumab is currently the only approved therapy [24].

The new launches expected in the MS therapeutic landscape will directly impact the economic sustainability of the National Healthcare Service, which in 2022 sustained total expenditure of more than €700 million for prescription of MS-related medications [25]. As MS currently ranks as the fifth largest category of per capita expenditure on direct purchases by public healthcare facilities (following oncologic drugs, immunosuppressants and immunomodulators, antidiabetics, and anticoagulants), careful forecasting of the economic impact of the expected changes is critical for ensuring the availability of resources to sustain innovation [25].

The present study integrated quantitative and qualitative sources to evaluate changes in treatment patterns and consequent forecasted expenditure for MS by the Italian National Healthcare Service between 2023 and 2028.

Methods

Expenditure Estimation

An Excel-based horizon-scanning model was developed to estimate the trend in annual expenditure from 2020 to 2028 for DMTs indicated for treating MS in Italy. Annual expenditure for MS was calculated by multiplying the number of patients receiving each specific treatment, defined as “clinical inputs”, by the yearly costs of each available therapy, referred to as “economic inputs” (Fig. 1).Fig. 1 Overview of the methodology and sources used to define and validate clinical (on the left) and economic (on the right) inputs of the model. All clinical and economic inputs were collected either via IQVIA®’s proprietary database or in qualitative/quantitative interviews with experienced neurologists and payers. All clinical inputs were validated by a panel of neurologists in a virtual expert board

Clinical and economic inputs resulted from the integration of quantitative data sources, which include three different IQVIA﻿® proprietary databases (i.e., Patient Equivalent Tracker [PET], IQVIA® database on consumption and sales, and a database on negotiation dynamics), and qualitative sources represented by interviews with Italian experts, both clinicians (n = 16) and payers (n = 2). Baseline inputs (2020–2022) on the number of treated patients and real costs of therapy of DMTs were collected from real-world data, while input estimation for the 5-year forecast (2023–2028) required integration of analog analyses with the insights of clinicians and former payers to consider the impact of future events (i.e., new launches and losses of exclusivity) on the MS market.

No ethical committee approval was required for this study. All databases used in the study are property of IQVIA﻿® and are accessible by its employees at any time.

Clinical Inputs

Baseline Input Collection (2020–2022)

Patients treated with DMTs between 2020 and 2022. The PET, an IQVIA﻿® proprietary database, was used to extract real-world data on the number of patients with MS treated with each available drug for MS in Italy between 2020 and 2022. The PET database relies on posology claims, adjustment factors related to therapeutic efficacy, and any information captured through primary market research to provide a consistent measure of patients with MS (patient equivalents) currently undergoing treatment starting from units of consumption and sales volumes, therefore accounting for both untreated patients who eventually start a treatment for MS and patients who discontinue treatment during the year. A time series forecast algorithm is then used in the database to mitigate inconsistent months in which there is an abnormal behavior in product consumption, but not in the actual number of patients being treated.

Forecast Input Collection (2023–2028)

Stakeholder engagement and input validation. All clinical assumptions implemented in the model forecast (i.e., quantification of future treated population and patient share evolution) were validated with a representative panel of 16 experienced neurologists evenly distributed across Italy. In 2022, two rounds of interviews were conducted with a panel of four neurologists to collect preliminary inputs and validate assumptions developed by IQVIA® and Sanofi. In 2023, a computer-assisted quantitative survey was conducted with 12 neurologists to collect additional inputs and refine preliminary forecasts. The survey was developed by IQVIA﻿® and Sanofi and conducted by IQVIA®, utilizing the Decipher survey platform for programming and hosting. Data collected from the survey were further validated with responders during a virtual expert board meeting in November 2023 to reach a final consensus on model projections and clinical inputs.

Quantification of future treated population. The total number of patients receiving MS treatment between 2023 and 2028 was determined by applying the compound annual growth rate (CAGR) of treated patients calculated for the baseline period (2020–2022) to forecast projections. This assumption allowed to estimate the future balance of patients undergoing treatment, including those starting and ending treatment in the same year. Manual adjustments were applied to account for clinician insights regarding the expected increase in the number of patients treated for NR-SPMS, following the availability of a drug specifically indicated for this condition, assuming that the launch of a product indicated for a form of MS for which no treatments are available would result in an increase in the number of treated patients.

Patient shares evolution. The model assumes that patient shares of already marketed drugs and drugs undergoing loss of exclusivity (LoE) remain stable unless impacted by new launches. Hence, all evidence collected from clinicians regarding the impact of new launches on the MS market were gathered to estimate the resulting variations in patient shares of currently marketed drugs.

Estimation of patient shares of new launches. Clinician inputs were collected to estimate the potential impact of new molecules on the MS market in terms of peak shares expected for new launches, time needed to reach the peak, and sources of business (defined as the molecules from which the new launches take market share). All inputs were collected according to clinicians’ perceptions of new drugs on the basis of data from clinical trials, if published, or other available scientific literature.

Having set 2024 as the threshold date for primary completion of phase III studies, among the BTKis under study only evobrutinib and tolebrutinib were included in the model (Table 2). Specific focus was developed to estimate the additional population eligible for treatment after the launch of new molecules for the NR-SPMS form.Table 2 Overview of phase III clinical trials of Bruton tyrosine kinase inhibitors: tolebrutinib, fenebrutinib, evobrutinib, and remibrutinib (source: ClinicalTrials.gov)

Molecule	Clinical trial ID	Indication	Phase	Sponsor	Primary completion date	
Tolebrutinib	NCT04410978	RMS	III	Sanofi	04/2024	
NCT04410991	04/2024	
NCT04458051	PPMS	08/2024	
NCT04411641	NR-SPMS	08/2024	
Fenebrutinib	NCT04586010	RMS	III	Roche	10/2025	
NCT04586023	10/2025	
NCT04544449	PPMS	01/2026	
Evobrutinib	NCT04338022	RMS	III	Merck	10/2023	
NCT04338061	10/2023	
Remibrutinib	NCT05147220	RMS	III	Novartis	04/2026	
NCT05156281	04/2026	
NR-SPMS non-relapsing secondary progressive multiple sclerosis; PPMS primary progressive multiple sclerosis; RMS relapsing multiple sclerosis

Estimation of penetration of generics and biosimilars. An analog analysis was performed to estimate the penetration of generics/biosimilars of drugs that will undergo loss of patent protection in the MS market by 2028 [26]. Penetration of generics/biosimilars in Italy was defined as the shares of days of therapy (DoT) of generics/biosimilars over the total DoT sold for the molecule according to the IQVIA﻿® database on consumption and sales. To obtain reliable results for the MS context, analogs with an indication in a chronic therapeutic area and with the same reimbursement class and distribution channel as MS products were selected. In the case of biosimilars, those with a launch date after 2015 were included to consider the second wave of biosimilar launches [27].

Economic Inputs

Baseline Input Collection (2020–2022)

Cost of therapy of marketed DMTs. Annual costs of therapy of DMTs available on the market up to 2022 were calculated leveraging the IQVIA﻿® database on consumption and sales data, which allows for the statistical elaboration of expenditure data from a hospital panel to estimate costs sustained by the National Healthcare Service for products commercialized in Italy. The elaborated price includes mandatory, negotiated, and tender discounts applied to ex-factory prices, while posology data are derived from the Summary of Product Characteristics for each product available on the EMA website.

Forecast Input Collection (2023–2028)

Stakeholder engagement and input validation. Price estimation assumptions implemented in the model forecast were validated with two former payers with extensive expertise in drug pricing negotiations and with knowledge of the Italian Medicines Agency (AIFA) procedures and decision-making process.

Price estimation. For molecules that will be launched on the market starting from 2024, the annual real cost of therapy was estimated based on the weighted average real cost of therapy of products in the same line of therapy at the time of the new drug’s expected reimbursement.

Price renegotiation of already marketed drugs. To ensure expenditure control, AIFA might ask manufacturers to renegotiate pricing conditions several times during each product’s life cycle. To account for this, an analog analysis was performed on an IQVIA﻿®’s proprietary database on negotiation dynamics in Italy to estimate the timing and frequency of renegotiations, as well as resulting discounts following price renegotiations, of already marketed drugs between 2023 and 2028. The database on negotiation dynamics provides insights related to negotiation outcomes in Italy for products that received a positive opinion from the Committee for Medicinal Products for Human Use (CHMP) for their first indication starting from 2015. The database was leveraged to retrieve the average time between the first price negotiation and subsequent pricing renegotiations for products included in the panel, as well as level of additional discount requested by AIFA during the renegotiation.

Price erosion of molecules following LoE. In Italy, the introduction of generics/biosimilars triggers mandatory public tenders to guarantee the ability of the National Healthcare Service to purchase drugs at the lowest acquisition costs. Therefore, the introduction of generics and biosimilars induces relevant price cuts for originators. An estimation of tender price cuts of drugs that will undergo loss of patent protection in the MS market by 2028 was performed using the same analogs selected for the estimation of clinical inputs using IQVIA﻿®’s databases. The IQVIA﻿® database on consumption and sales was leveraged to assess historical trends in pricing dynamics of analogs to estimate potential prices and real costs of therapy for originators and generics/biosimilars following LoE.

Sensitivity Analysis

Given the uncertainties of some of the parameters considered in the analysis, a sensitivity analysis was conducted. The parameters that were varied include, among economic inputs, the discount at launch for new molecules, renegotiation discount, discount for biologics after LoE, discount for small molecules after LoE, and renegotiation frequency. The clinical parameters included in the analysis are generics penetration, biosimilars penetration, expected patient shares of ublituximab, tolebrutinib in RMS and PMS and evobrutinib, and the expected increase in treated patients for NR-SPMS. For all parameters, a variation of ± 20% of the baseline values was considered. The baseline parameter considered was the expenditure reduction between 2022 and 2028.

Results

Clinical Inputs

Baseline and Quantification of Future Treated Population

According to IQVIA﻿®’s PET data, the number of patients with MS in treatment grew steadily between 2020 and 2022, from approximately 57,200 to approximately 60,500, with a resulting CAGR of 0.3%. In line with clinicians’ insights, CAGR was applied to projections between 2023 and 2028 (Fig. 2). An additional +4% increase in the number of treated patients was considered following the introduction of a specific treatment for patients with NR-SPMS in 2026, for whom currently no treatment is approved. Hence, in 2028, approximately 67,000 patients are expected to be treated for MS in Italy (Fig. 2).Fig. 2 Total population of treated patients, based on IQVIA﻿® PET database (2020–2022) and estimates (2023–2028). Total growth was calculated according to CAGR and the increase in the number of patients following the availability of new treatments. Starting from 2026, the reimbursement of tolebrutinib for the treatment of NR-SPMS is expected to lead to a progressive increase the in total number of treated patients up to 4%

Patient Share Evolution

Clinical inputs on patient share evolution after new launches suggest that some first-line treatments (fumarates, teriflunomide, interferons) are expected to reduce their patient shares from 47% in 2022 to 27% in 2028 (Fig. 3). Other first-line injectables such as glatiramer acetate are expected to progressively reduce their patient shares, reaching 3% in 2028. (Fig. 3).Fig. 3 Patient shares of classes of products available for MS. Figure includes real-world data (2020–2022) as well as projections (2023–2028)

Among second-line treatments, anti-CD20s are expected to increase their patient shares by 5% (from 14% in 2022 to 19% in 2028), while sphingosine-1-phosphate modulators, despite an initial increase in their patient shares between 2023 and 2025 due to the recent introduction of several new molecules in this class (i.e., siponimod, ponesimod, and ozanimod), will ultimately maintain their patient shares in 2028 (from 14% in 2022 to 15% in 2028) (Fig. 3).

BTKis are expected to reach 23% of patient shares. Adoption of BTKis is expected to be consistent, given the innovative mechanism of action and high expectations of clinicians.

Analog Analysis

The analogs selected to estimate the expected penetration of generics over originators included entecavir for hepatitis B, bosentan for pulmonary hypertension, and atazanavir and darunavir for HIV (Supplementary Fig. 1). The analysis of total volumes sold for both originators and generics showed that generics reached an average market share penetration of 74% over originators after 2 years. Analogs selected to estimate the penetration of biosimilars over originators included etanercept and infliximab for autoimmune disease and rituximab for oncohematology and rheumatoid arthritis. The analysis showed that biosimilars reached an average market share penetration of 65% after 3 years (Supplementary Fig. 1).

Economic Inputs

All the implemented assumptions validated with payers are summarized in Table 3.Table 3 Overview of economic assumptions considered to build the model, resulting from the integration of data from IQVIA® databases and qualitative interviews with clinicians and former payers

Category	Assumptions	
Renegotiations of already marketed drugs	• In the absence of an extension of indication, a 5% additional discount will be applied on top of the discount obtained at previous negotiation

• With extension of indication, an 8% additional discount will be applied on top of the one obtained at previous negotiation

• Renegotiations are assumed to happen every 3 years

• No renegotiation for drugs that have not been renegotiated in the last 5 years

	
Tender discounts of generics/biosimilars	• Branded small molecules: application of a maximum discount of 70% vs. ex-factory price, reached 2 years after LoE

• Generics: application of a maximum discount of 89% vs. originator ex-factory price, reached one year after LoE

• Biologics: application of a maximum discount of 41% vs. ex-factory price, reached 3 years after LoE

• Biosimilars: application of a maximum discount of 72% vs. originator ex-factory price, reached 3 years after LoE

	
Negotiation of new launches	• Ublituximab: same cost of therapy per year as 2L treatments weighted average at launch

• Tolebrutinib RMS and tolebrutinib PMS: same cost of therapy per year as 2L treatments weighted average at launch

• Evobrutinib: same cost of therapy per year as 2L treatments weighted average at launch

	
LoE loss of exclusivity; PMS progressive multiple sclerosis; RMS  relapsing multiple sclerosis

Price renegotiations of already marketed drugs. Based on analog analysis, renegotiations of already marketed drugs are expected to be scheduled every 3 years, with an additional discount of 5% applied to ex-factory prices. An 8% additional discount on ex-factory prices was considered in the case of indication extension. In line with payers’ insights, no renegotiations were considered for drugs that had not renegotiated in the last 5 years.

Price erosion of molecules following LoE. Based on analog analyses and payer consensus, it was estimated that the maximum price cut after LoE will reach 70% in 2 years for branded small molecules and 89% in 1 year for generics. In the case of biologics, the estimated maximum price cut will reach 41% after 3 years and biosimilars will reach a 72% discount in 3 years (Supplementary Fig. 2).

Expenditure Estimation

Combining clinical and economic inputs, expenditure for MS is expected to decrease from €721 million in 2022 to €551 million in 2028 (total variation between the two time periods: €170 million). The significant decrease in expenditure is expected to start from 2024 (€689 million), with a steady decrease up to 2028 despite the increase in total treated patients due to the foreseen introduction in 2026 of a drug specifically indicated for NR-SPMS (Fig. 4).Fig. 4 MS expenditure (on the left) and number of treated patients (on the right) between 2020 and 2028. The forecast includes the baseline period (in violet; 2020–2022) as well as projections (in orange; 2023–2028). All expenditure results are expressed as millions of euros (€)

The results of the sensitivity analysis indicate that the total expenditure reduction between 2022 and 2028 ranges from €182 million to €157 million versus the baseline. The greatest impact on expenditure is obtained by varying the inputs related to the discount at launch for new molecules (+7%; −7.6%), while all other parameters have an impact of less than 6% on the results (Supplementary Fig. 3).

Discussion

MS is a complex neurological disease characterized by increasing global prevalence and no cure. Although available DMTs are effective in controlling clinical relapses and delaying disease progression [28], the relevant unmet needs have driven continued research efforts, with the identification of new treatments and consequent impact on the MS market in the coming years. Indeed, the MS scenario is expected to undergo significant changes from both a clinical and economical perspective. While several innovative drugs are likely to enter the market soon, generics and biosimilars of other drugs will be launched. To better understand how these expected changes will affect the economic situation in Italy, we forecasted the expenditure of the Italian National Healthcare Service for reimbursed MS drugs between 2023 and 2028. To address this objective, we collected both qualitative insights from payers and expert clinicians in the MS field, and quantitative insights from IQVIA® databases. Together, these data sources provided a comprehensive overview of expected variations in the therapeutic landscape and their impact on expenditure associated with prescription drugs.

In line with literature data, our model suggests that the number of patients in Italy receiving treatment will increase from about 60,000 to almost 67,000 [1, 4]. This is driven by CAGR and by the launch of drugs that will also be indicated for progressive forms of MS (Table 1). In particular, the data collected suggest that the launch of the NR-SPMS drug (i.e., tolebrutinib) will increase the treated MS population by 4%. In addition, it was estimated that a drug for NR-SPMS will reach 10% of the current patient share, corresponding to patients with NR-SPMS who already receive treatment. Indeed, considering that the current scientific debate is heading towards the classification of the disease as a continuum between relapsing and progressive forms [5, 7], it is reasonable to assume that some patients are continuing treatment even when transitioning to a progressive phase, especially with the availability of drugs with high efficacy [29]. In this context, BTKis will provide a suitable alternative for treating a large proportion of patients who are currently receiving suboptimal treatment. Consequently, in light of their innovative mechanism of action, BTKis are considered highly promising agents for all forms of MS and are expected to reach 23% of patient shares in 2 years [22].

In contrast, first-line treatments (fumarates, teriflunomide, interferons) are expected to reduce their shares from 2023 to 2028, and other first-line injectables such as glatiramer acetate are also expected to progressively reduce their patient shares until 2028. The model’s estimations are in line with past trends and confirm expectations of a gradual shift from the use of drugs traditionally used in first-line treatment to more effective and innovative molecules. Indeed, the trend in the consumption of medicines for MS has shown an increase over the period 2014–2022 for those medicines predominantly used as second-line treatment, such as monoclonal antibodies and modulators of sphingosine-1-phosphate receptor, against a decrease in the category of interferons and glatiramer [25]. Of note, evidence in the literature suggests that in some countries (e.g., Sweden) the use of rituximab is rapidly increasing as an off-label treatment option for MS [30], and we therefore aimed at assessing trends in its use in Italy, also considering past discussions by the Italian Medicines Agency on its potential inclusion among drugs reimbursed for MS [31]. Although no further decision had been undertaken by the Italian Medicines Agency by November 2023, we collected clinicians’ opinions towards the potential use of the drug in MS in the event of a reimbursement by the NHS. The insights that we gathered indicated that rituximab is expected to gain low shares of patients in MS if reimbursed, as clinicians might consider more effective options including other treatments in the anti-CD20 class.

Despite the increasing number of patients and the launch of new drugs, the expenditure for MS is expected to decrease steadily, from €721 million in 2022 to €551 million in 2028. The main contributors to the decrease in net expenditure are the availability of generics/biosimilars which offer significantly larger discounts on both originator and generic/biosimilar products [32], and renegotiation of prices of some drugs that are already marketed.

Overall, the reduction in expenditure is projected to free up resources for prescribing newly available molecules, particularly BTKis [33]. In fact, BTKis are considered highly promising agents across the spectrum of MS due to their potential to target key pathophysiological features of the disease [22]. Furthermore, as they do not deplete B cells, they are likely not associated with an increased risk of infection in contrast to some of the therapies currently in use [22]. In addition to tolebrutinib and evobrutinib, other BTKis such as fenebrutinib and remibrutinib are under development for MS and, depending on the results of clinical trials, will likely be introduced after 2028. It will be of great interest to explore how these agents perform in various types of MS in terms of both effectiveness and safety. Understanding these differences is crucial and contributes to the anticipated significant market share for BTKis.

Study Limitations

All data used to perform this study were collected via interviews, surveys, and quantitative analysis on historical data from IQVIA﻿® databases, as well as desk research of publicly available information, and are updated to November 2023. Hence, forecasts presented herein might undergo unforeseen changes due to variations in the clinical and economic landscape. Our predictions rely on assumptions inherent in the models used, which may not fully capture the complexity of real-world market dynamics and could introduce bias or inaccuracy into the predictions. More statistically accurate modeling approaches could help reduce uncertainties resulting from the modeling approach presented herein.

The study focused only on pharmacotherapy and did not consider cell-based therapies or other therapies such as aerobic exercise and lipoic acid, which may be beneficial in some patients.

In defining the clinical inputs to develop the model, we did not consider specific clinical concepts related to the varying efficacy of drugs available for MS. In particular, we did not account for the fact that some patients starting high-efficacy therapy are more likely to achieve no evidence of disease activity (NEDA) and might therefore discontinue treatment, influencing the final results.

Moreover, this analysis did not consider indirect costs or direct costs other than expenditure for prescription drugs. Given the primary objective of evaluating the expenditure sustained by the NHS for the prescription of reimbursed drugs and its evolution with variations in the treatment landscape, as well as the characteristics of the data sources used in the study, a broader evaluation of the impact of MS on other costs sustained by the NHS or resulting from MS-associated mortality/morbidity was not included in the analysis. An additional analysis considering indirect costs would be needed to provide a more comprehensive picture of the situation.

Lastly, given the number of participating clinicians, a statistical analysis of the collected data was not considered meaningful. Including a larger number of clinicians would improve the statistical power of the analysis. Nevertheless, we aimed to overcome this issue by basing our analysis on a well-structured methodology that combines qualitative insights with quantitative real-word data obtained from IQVIA﻿®’s internal data assets. The experts participating in the study represented the Italian context well in terms of both expertise and geographical distribution. Their qualitative insights were collected during two rounds of interviews over a 2-year period, and then validated during a virtual expert board to reach a final consensus on inputs of the model. As a consequence of the methodology, the variability in responses was discussed by clinicians who approved the final values presented in the study.

Conclusion

To the best of our knowledge, this is the first study conducted to assess expected changes in MS pharmacotherapy, predicting expenditure and the evolution of the treatment landscape in MS, with a focus on Italian dynamics and peculiarities. In the coming years, the annual cost for first-line treatments for MS is expected to decrease and, despite the increase in the number of patients treated and the launch of BTKis, a decrease in MS drug expenditure should be observed, mainly due to LoEs and price renegotiations for currently reimbursed drugs. The model confirms sustainability for the Italian National Healthcare Service and offers valuable insights for payers and healthcare systems to navigate the evolving market landscape and enhance the management of patients with MS. Such insights will also enable clinicians to tailor treatment strategies on an individual basis, fostering positive economic outcomes.

Supplementary Information

Below is the link to the electronic supplementary material.Supplementary file1 (PDF 563 KB)

Author Contributions

All authors contributed to the study conception and design, and to the material presented in this manuscript. Data collection and analysis were performed by Francesca Donnaloja, Francesco Berruto, Alessia Tettamanti, Gianluca Agostoni, Alberto Farina, and Margaret Mondino; Damiano Paolicelli, Raffaella Clerici, Marcello Moccia, Carla Tortorella, Davide Croce, and Massimo Riccaboni provided insights during the qualitative interviews; the survey was designed by Francesca Donnaloja, Francesco Berruto and Alessia Tettamanti and revised by Gianluca Agostoni; Giovanna Borriello, Elena Colombo, Emanuele D’Amico, Nicola De Rossi, Alessia Di Sapio, Giuseppe Fenu, Davide Maimone, Girolama A. Marfia, Paola Perini, Maria G. Piscaglia, Lorenzo Razzolini, and Elisabetta Signoriello filled in the survey and participated in the final Expert Board. All authors had equal opportunity to review and edit the manuscript and give approval prior to submission.

Funding

This study was funded by Sanofi S.r.l., Milan, Italy, which also funded the Rapid Service Fee.

Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Declarations

Conflict of Interest

Damiano Paolicelli, Giovanna Borriello, Raffaella Clerici, Elena Colombo, Davide Croce, Emanuele D’Amico, Nicola De Rossi, Alessia Di Sapio, Giuseppe Fenu, Davide Maimone, Girolama A. Marfia, Marcello Moccia, Paola Perini, Maria G. Piscaglia, Lorenzo Razzolini, Massimo Riccaboni, Elisabetta Signoriello, Carla Tortorella received honoraria from Sanofi S.r.l. to participate in the study. Giovanna Borriello received fees for participating to Advisory Boards and travel compensations from Almirall, Biogen, Bristol-Myers Squibb, Johnson and Johnson, Merck, Novartis, Roche, and Sanofi. Elena Colombo reports travel expenses, speaker honoraria, and advisory board work from Alexion, Biogen, Bristol-Myers Squibb, Janssen, Merck, Novartis, Roche, and Sanofi. Alessia Di Sapio received speaker and consulting personal compensation by Alexion, Alnylam, Amgen Biogen, Bristol-Myers Squibb, Janssen, Merck Serono, Novartis, Roche, and Sanofi and received reimbursement for attending conferences by Biogen, Merck Serono, Novartis, Roche, and Sanofi. Davide Maimone received honoraria for participating to Advisory Boards and lectures and received travel grants from Alexion, Biogen, Bristol-Myers Squibb, Merck, Novartis, Roche, and Sanofi. Giuseppe Fenu received honoraria for consultancy or speaking from Biogen, Bristol-Myers Squibb, Merck, Novartis, Roche, and Sanofi. Marcello Moccia has received financial support by the MUR PNRR Extended Partnership (MNESYS no. PE00000006, and DHEAL-COM no. PNC-E3-2022-23683267), research grants from the ECTRIMS-MAGNIMS, the UK MS Society, and Merck, and honoraria from Biogen, Bristol-Myers Squibb, Ipsen, Janssen, Merck, Novartis, Roche, and Sanofi. Elisabetta Signoriello received travel grants and performed consultancy for Almirall, Biogen, Bristol-Myers Squibb, Novartis, Merck, Roche, Sanofi, and Teva. Carla Tortorella received travel funding and/or speaker honoraria from Alexion, Almirall, Biogen, Bristol-Myers Squibb, Horizon, Merck, Novartis, Roche, and Sanofi.

Ethical Approval

No ethical committee approval was required for this study. All databases used in the study are property of IQVIA﻿® and are accessible by its employees at any time.
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