TA900 · STA

Final draft guidance – tixagevimab plus cilgavimab for preventing COVID-19

Not recommendedApril 2023

Source documents

Intervention

tixagevimab plus cilgavimab (Evusheld)
neutralising monoclonal antibody · neutralising monoclonal antibody · intramuscular injection

Condition

covid-19infectious_disease · prevention_secondary

Comparators

NameType Established Committee preferred
placeboplacebo
no preventative treatmentno treatment
no treatmentno treatmentYes

Clinical trials

TrialDesignPhasePivotal
PROVENTRCT3Yes
Young-Xu et al. 2022observational
Kertes et al. 2022observational

Economic model

markov (company)
Time horizon: 6 months for direct utility gain application
Cycle length: not specified

ICER

Not estimable (tixagevimab plus cilgavimab vs no treatment) · very_high uncertainty
Not estimable (tixagevimab plus cilgavimab vs no preventative treatment) · very_high uncertainty

Methodological decisions (20)

cost assumption

Cost of administering tix-cil: setting (primary care vs. secondary care) and cost per administration

Company: Originally £41 based on 1 hour band 5 nurse time; updated to £216 (later revised to £108 for single dose); suggested delivery in routine outpatient appointments or secondary care community services

ERG: Preferred £410 per administration based on COVID-19 Medicine Delivery Unit (CMDU) cost for oral antivirals; considered this better reflected likely bespoke system needed; noted uncertainty about whether eligible patients would have routine appointments soon after availability and practical issues with 1-hour observation period

Committee: Concluded administration setting is uncertain; considered both company's and EAG's estimates in decision-making; acknowledged integrated care system preference for primary care due to simplicity, but NHS England stated setting is unclear

ICER impact: uncertain_direction

cost assumption

Hospitalisation risk from SARS-CoV-2 infection for people not receiving tix-cil

Company: Preferred Shields et al. (2022) showing 15.9% hospitalisation rate for Omicron wave in immunodeficient people without treatment

ERG: Acknowledged specific patient groups (solid organ transplants, lymphoma, leukaemia) have higher risk; preferred Patel et al. (2022) average risk of 2.8% as better aligned with marketing authorisation population; noted company's model did not consider specific subgroups

Committee: Preferred assumption closer to Patel et al. (2.8%); acknowledged Shields et al. estimate was high and unlikely to represent current risk for most eligible patients; noted OpenSAFELY validation of Patel et al. (2.4% for highest-risk group, 4.0% for renal impairment subgroup); concluded hospitalisation rate is uncertain but dependent on risk group

ICER impact: decreases

cost assumption

Long COVID parameters: risk for non-hospitalised patients, duration, management cost, and impact on utility

Company: Higher risk of long COVID for non-hospitalised people; longer duration; higher management costs; greater impact on long-term utility

ERG: Preferred lower risk, shorter duration, lower cost, and smaller utility impact; more closely aligned with NICE guidance on casirivimab plus imdevimab, nirmatrelvir plus ritonavir, sotrovimab and tocilizumab for treating COVID-19

Committee: Considered substantial uncertainty about long COVID effects; preferred EAG estimates as more closely aligned with other NICE COVID-19 treatment appraisals; noted unclear interaction with other modelled elements like infection risk

ICER impact: increases

cost assumption

Proportion of hospitalised patients requiring invasive mechanical ventilation (IMV) or ECMO

Company: Used Cusinato et al. (2022) single UK hospital data averaged across first and second waves: 15.40% needing IMV

ERG: Preferred estimate based on general population data: 4.92% for year up to October 2022 or 2.51% for most recent 3 months (August-October 2022); preferred upper estimate of 4.92%

Committee: Agreed risk of needing IMV reduced since pandemic start; data from Omicron wave more generalisable; noted clinical expert view that risk may be lower in immunocompromised due to reduced hyperinflammatory reactions; preferred EAG estimate noting NICE COVID-19 treatment appraisal used 4.12%

ICER impact: decreases

model structure

Whether to model long COVID for COVID-19 cases occurring after initial 6-month treatment period

Company: Model structure did not allow people infected after initial treatment period to develop long COVID

ERG: Should track people remaining at risk of long COVID over time; current structure may overestimate benefit of tix-cil

Committee: Broadly appropriate but key inputs highly uncertain; acknowledged difficulty of modelling beyond initial treatment period

ICER impact: decreases

model structure

Interaction between perceived treatment efficacy, direct utility gain, shielding behaviours, and infection risk

Company: Model incorporated reduction in risk for fully shielding people plus direct utility benefit; assumed full benefit of risk reduction and full direct utility gain simultaneously

Committee: No one would have full benefit of both risk reduction and full direct utility gain from stopping shielding; company model double counts benefit; impact of interactions not explored

ICER impact: decreases

mortality assumption

Background risk of SARS-CoV-2 infection for people not receiving tix-cil

Company: Assumed 22.58% annual risk of symptomatic infection based on 7-day positive test reporting rate in general population England (August 2021 to August 2022)

ERG: Highlighted historical risks may not reflect current/future risks; data for general population not generalisable to tix-cil eligible population; explored scenarios halving and doubling the risk; noted last 3 months data (May-August 2022) provided 8% annualised risk

Committee: Acknowledged testing significantly reduced so general population data no longer representative; infection patterns now different with endemic COVID; concluded both EAG scenarios (halving and doubling risk) should be considered given high uncertainty

ICER impact: uncertain_direction

population generalisability

Applicability of PROVENT trial to eligible population

Company: Used trial results from PROVENT as basis for effectiveness estimates in economic model

ERG: Did not align inputs with heterogeneous eligible population across risk groups

Committee: PROVENT participants not representative: mostly not at high risk of severe COVID-19 outcome, unvaccinated, conducted before significant natural immunity in population; clinical effectiveness uncertain against currently dominant variants

ICER impact: increases

population generalisability

Generalisability of efficacy evidence to current circulating SARS-CoV-2 variants

Company: Evidence available from older trial and observational studies conducted when BA.1, BA.2, BA.2.12.1 circulating

ERG: Concerns about generalisability to current variants

Committee: In vitro evidence more relevant than older real-world studies; at time of evaluation only 3% of circulating variants (BA.2 and BA.5) would be neutralised by tix-cil; insufficient efficacy against 97% of variants

ICER impact: decreases

stopping rule

Committee decision on repeat dosing

Company: Initial submission included second 600 mg dose 6 months after first dose

ERG: Noted company approach not aligned with summary of product characteristics which states only single-dose studies conducted

Committee: Single dose only, as repeat dosing is outside marketing authorisation and would be off-label use; alignment with MHRA clarification and product characteristics

ICER impact: decreases

surrogate endpoint validity

Applicability of in vitro neutralisation data to clinical effectiveness

Company: Relied on neutralisation potential against variants

Committee: In vitro data showing tix–cil unlikely to prevent infection with most variants circulating at guidance production; virus rapidly evolving; substantial uncertainty in estimating efficacy for future variants

ICER impact: increases

surrogate endpoint validity

Interpretation of in vitro neutralisation data as proxy for clinical efficacy

Company: Proposed IC50 threshold of less than 10,000 nanograms per millilitre as appropriate threshold for clinical effectiveness; acknowledged loss of in vitro neutralisation equals no clinical effect

Committee: Recalled in vitro advisory group conclusion that pharmacokinetic and pharmacodynamic data needed to link in vitro data to clinical outcomes when substantial change in neutralisation activity but some retained; company's proposed threshold not appropriate for decision making; if no neutralisation activity in vitro suggests no clinical efficacy

ICER impact: decreases

surrogate endpoint validity

Neutralisation activity against circulating variants as proxy for clinical effectiveness

Company: Hypothetical scenario modelling tixagevimab plus cilgavimab with neutralisation activity against 10% of circulating variants

ERG: Not explicitly stated

Committee: Committee noted that at time of evaluation, tixagevimab plus cilgavimab only likely retained neutralisation activity against around 3% of circulating variants; could not accept the company's hypothetical 10% scenario as evidence of current effectiveness

ICER impact: increases

survival extrapolation

Efficacy threshold assumption: company assumed 10% neutralisation activity threshold against circulating variants to implement relative risk reduction; EAG preferred applying 10% multiplier to both infection and hospitalisation RRR

Company: Assumed 6.6% RRR for infection based on 10% multiplier applied to Young-Xu et al. infection data only

ERG: Applied 10% multiplier to both infection and hospitalisation relative risk reductions from Young-Xu et al.

Committee: Preferred EAG approach but noted the 10% multiplier was hypothetical and much higher than actual efficacy (~3%) at time of evaluation

ICER impact: decreases

treatment effect waning

Application of efficacy multiplier based on proportion of circulating variants against which tix-cil has in vitro activity

Company: Proposed 10% multiplier to relative risk reduction for infection only, aligned with FDA threshold of 10% susceptible variants

ERG: Preferred to apply 10% multiplier to both infection and hospitalisation relative risk reductions

Committee: Agreed with EAG approach but noted 10% multiplier was hypothetical and much higher than actual efficacy at time of evaluation (approximately 3%)

ICER impact: increases

utility source

Evidence for direct utility gain from stopping shielding behaviours after treatment

Company: Utility study vignette asked people to imagine medicine providing protection similar to vaccination in healthy immune system; utility gain of 0.098 applied to everyone for 6 months

ERG: Multiple limitations: vignette did not align with tix-cil efficacy evidence; no evidence tix-cil provides comparable efficacy to vaccination

Committee: Agreed with EAG concerns; patient experts stated some shielding behaviours likely to continue; magnitude of utility gain overestimated

ICER impact: decreases

utility source

Evidence for direct utility gain from pandemic's impact on immunocompromised people; company used Gallop et al. (2022) utility study with vignette comparing untreated vs. treatment with protection 'similar to vaccination'

Company: Direct utility gain of 0.098; vignette study suggesting tix-cil provides efficacy comparable to vaccination in people with healthy immune system

ERG: Highlighted multiple limitations with vignette study and company's supportive academic in-confidence study; questioned alignment with actual efficacy evidence

Committee: Agreed with EAG concerns; magnitude of utility gain was not reflective of anticipated utility gain in clinical practice; noted patient experts' views that shielding behaviours would likely continue

ICER impact: increases

utility value choice

Treatment benefit accounting and shielding behaviour interaction

Company: Model assumed full benefit of risk reduction and full direct utility gain from stopping shielding for same population

ERG: EAG noted model inputs did not represent eligible population as a whole and did not capture heterogeneity within eligible population

Committee: Company model double-counted benefits; as efficacy reduces, reduction in shielding reduces; no population receives both full risk reduction and full utility gain simultaneously; patient expertise indicates continued caution even after treatment

ICER impact: increases

utility value choice

Application of direct utility gain across patient subgroups: whether to apply to all, 82% (shielding/partially shielding), 50%, or 10% of people

Company: Originally applied to everyone; updated to 82% of people who are shielding or partially shielding

ERG: Applied to only 50% of people based on company's own survey data showing 50% would return to pretreatment behaviour if new variant emerged; explored scenario with 10% application

Committee: Preferred EAG's scenario applying direct utility gain to only 10% of people; noted complex relationship between perceived efficacy, utility gain, and infection risk not modelled by company; concluded most people reluctant to change behaviour if treatment only prevents 1 in 10 infections

ICER impact: increases

utility value choice

Direct utility gain application to population proportion

Company: Direct utility gain applied to all eligible people receiving tixagevimab plus cilgavimab

ERG: Direct utility gain applied to only 50% of people in base case; EAG also provided scenario with 10% application

Committee: Committee considered the scenario with direct utility gain applied to only 10% of people to be most appropriate, resulting in ICER of £242,097 per QALY gained

ICER impact: increases

Evidence gaps

short follow upPROVENT trial conducted early in the pandemic; lack of clinical effectiveness data against currently dominant variants (Omicron subvariants BQ.1, CH.1.1, XBB) circulating at time of guidance
no direct comparisonNo head-to-head comparisons with alternative preventative treatments for high-risk groups
single arm evidence onlyNo safety and efficacy data available for repeat dosing; only single-dose studies conducted
no uk dataObservational studies from US populations; most US veterans were men and older, population may not be generalisable to UK
surrogate not validatedIn vitro neutralisation assays used to predict clinical efficacy against new variants; no pharmacokinetic/pharmacodynamic data linking in vitro to clinical outcomes
short follow upKertes et al. had shorter follow-up in treatment group than control group
immature overall survivalNo clinical efficacy data available for current circulating variants (BQ.1, XBB); in vitro studies show no neutralisation activity against these dominant variants
otherPROVENT trial limitations: most participants not at high risk of severe COVID-19; participants were unvaccinated; no natural immunity in population; conducted when earlier variants prevalent; no data on behaviour modification during trial
otherNo data on relationship between perceived efficacy, direct utility gain, shielding behaviours and infection risk; company model did not explore interactions between these parameters
short follow upEfficacy evidence based on observational study (Young-Xu et al. 2022) showing reduced SARS-CoV-2 infection and hospitalisation but limited to specific timeframe
no direct comparisonNo RCT evidence comparing tix-cil to standard care or placebo; reliance on observational evidence
no uk dataCompany provided no new data for target population regarding background infection risk in people not receiving tix-cil
surrogate not validatedIn vitro neutralisation activity (10% threshold) used as proxy for clinical efficacy; mismatch between vignette study assumption (vaccination-like efficacy) and actual efficacy evidence
immature overall survivalSubstantial uncertainty about long COVID effects and their duration; unclear how long-COVID assumptions interact with other modelled elements
short follow upLack of evidence on how availability of preventative treatment would affect shielding behaviours and subsequently affect treatment efficacy
otherLack of data on relationship between perceived efficacy and direct utility gain
otherSubstantial uncertainty about effects of long COVID and how long-COVID assumptions interact with other modelled elements such as risk of infection
no direct comparisonEvidence of neutralisation activity against only approximately 3% of circulating variants at time of guidance production, with most of model's QALY gain coming from direct utility benefit rather than clinical efficacy

Commercial arrangement

simple discount pas

Special considerations

Innovation acknowledged Equality issues raised

Cross-references

comparator guidance — NICE technology appraisal guidance on casirivimab plus imdevimab, nirmatrelvir plus ritonavir, sotrovimab and tocilizumab for treating COVID-19 - used for long COVID parameters, hospitalisation risk estimates, and IMV proportions
utility reuse — Committee preferred EAG's estimates for cost and utility impact of long COVID because these were more closely aligned with estimates used in NICE's technology appraisal guidance on other COVID-19 treatments