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    Health technology assessment

    Health technology assessment

    JournalISSN 1366-5278eISSN 2046-4924中科院 医学 3区

    年发文量

    研究主题

    论文(1921)

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    1Decompressive Craniectomy Versus Craniotomy for Patients Undergoing Surgical Evacuation of an Acute Subdural Hematoma: RESCUE-ASDH RCT and Cost Effectiveness
    Peter Hutchinson,Harry Mee,Hadie Adams,Midhun Mohan,Bhagavatula I Devi,Christopher Uff,Shumaila Hasan,Mark Wilson,Deepak Gupta,Diederik Bulters, Ardalan H Zolnourian,Catherine McMahon,

    Background:Traumatic acute subdural haematomas often require surgical evacuation via craniotomy or decompressive craniectomy. Decompressive craniectomy may prevent intracranial hypertension; however, it is unclear whether it is associated with better outcomes. Objective:Multicentre, pragmatic, parallel-group randomised trial to compare the clinical and cost-effectiveness of decompressive craniectomy versus craniotomy for evacuation of acute subdural haematomas. Design:International, multicentre, pragmatic, parallel-group randomised trial with additional observational arm. Setting:Hospitals with neurosurgical services in the UK and internationally. Participants:Patients aged ≥ 16 years, with a diagnosis of acute subdural haematomas on a computed tomography scan that required evacuation with a large bone flap either by craniotomy or decompressive craniectomy according to the opinion of the admitting neurosurgeon. Interventions:The enrolled patients underwent acute subdural haematoma evacuation in the operating room under general anaesthesia. A large bone flap ipsilateral to the haematoma was raised, the dura opened and the haematoma evacuated. Other haematomas, such as contusions, were evacuated at the discretion of the surgeon. If clinically appropriate randomisation occurred, the bone flap was either replaced (craniotomy) or not replaced (decompressive craniectomy). Patients who could not be randomised were followed up in the observational arm. Main outcome measures:Primary outcome measure was the extended Glasgow Outcome Scale assessed 12 months post injury. An economic evaluation (based on UK participants) was undertaken to estimate the cost-effectiveness of craniotomy compared to decompressive craniectomy. Results:Four hundred and fifty patients were randomised: 228 to craniotomy and 222 to craniectomy - with the common odds ratio for the differences across the Glasgow Outcome Scale scores of 0.85 [95% confidence interval (0.6 to 1.18; p = 0.324)]. The results were similar at 6 months. At 12 months, death occurred in 30.2% of the craniotomy group versus 32.2% of the decompressive craniectomy group, vegetative state occurred in 2.3% versus 2.8%, and good recovery occurred in 25.6% and 19.9%, respectively. In the observed cohort, those who had a decompressive craniectomy had significantly worse outcomes at 6 and 12 months, but their baseline characteristics were different. Limitations:Clinicians were not blinded to the trial groups. Decompressive craniectomy was performed in 8.8% of patients allocated to the craniotomy group, and 5.4% of patients allocated to the decompressive craniectomy group underwent craniotomy. Intraoperative non-adherence with allocation did not influence the primary analysis, which was based on the intention-to-treat principle. Conclusions:Among patients undergoing evacuation of acute subdural haematomas, the outcomes were similar in both groups. Additional surgery was required in a higher proportion of patients in the craniotomy group, but more wound complications occurred in the decompressive craniectomy group. Future work:Long-term outcomes of patients following decompressive craniectomy, timing and impact of cranial reconstruction on a patient's rehabilitation. Trial registration:This trial is registered as ISRCTN87370545. Funding:This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 12/35/57) and is published in full in Health Technology Assessment; Vol. 30, No. 66. See the NIHR Funding and Awards website for further award information.

    2026
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    2Home-testing Devices for Diagnosing Obstructive Sleep Apnoea Hypopnoea Syndrome – a Systematic Review and Economic Evaluation
    Jaime Peters, Jonathan Shepherd, Emma Maund,Bogdan Grigore, Lois Woods,Joanne Lord, David Alexander Scott, Christopher Hyde

    Background:Obstructive sleep apnoea and hypopnea syndrome is a sleep-related breathing disorder. Diagnostic sleep studies for obstructive sleep apnoea and hypopnoea syndrome are conducted overnight in clinic using oximetry, respiratory polygraphy and polysomnography. Portable novel devices have been developed to facilitate home testing. Objectives:To conduct: a systematic review of clinical effectiveness of novel home-testing devices in people with suspected obstructive sleep apnoea and hypopnoea syndrome a health economic evaluation modelling the incremental cost-effectiveness of novel home-testing devices compared to home respiratory polygraphy or oximetry. Data sources and methods:A systematic review of clinical effectiveness was conducted based on a predefined protocol. Searches were conducted between 22 May 2023 and 24 May 2023 and were updated on 25 September 2023. Screening, data extraction and critical appraisal were conducted by two reviewers. To be included, studies (of any design) had to evaluate one or more of six novel home device products used in adults and/or children with suspected obstructive sleep apnoea and hypopnoea syndrome. A structured descriptive synthesis was done. We reviewed health economic studies and developed a model to assess cost-effectiveness. Results:In adults, novel devices were compared to home respiratory polygraphy in four studies, to hospital sleep laboratory polysomnography in five studies, and home-based polysomnography in one study. No studies compared novel devices to home-based pulse oximetry. Sensitivity and specificity estimates vary between, and within, studies at different severity cut-offs. Sensitivity was generally high (between 80% and 100%), falling below 80% in just two studies. Specificity was more variable (between 25% and 100%), with many estimates in the 70-80% range. Some estimates were uncertain, and we caution making inferences about relative differences between novel devices. The percentage of test failures ranged from 0% to 18%. Limited data were available on many other outcomes. Only three studies included children, and all of these were done in the clinic rather than the home setting. In the base-case economic analysis, all six novel devices are less costly than respiratory polygraphy and slightly less effective. For the AcuPebble and Sunrise (Sunrise) devices, the reduction in quality-adjusted life-years was cost-effective compared to the reduction in costs (i.e. incremental net monetary benefit > £0 at the £20,000 and £30,000 per quality-adjusted life-year thresholds). All six novel devices are more costly and more effective than oximetry, with incremental costs below £10,000 per quality-adjusted life-year gained. Additional analyses highlight the extent of uncertainty. Limitations:There is uncertainty in the diagnostic test accuracy data comparing the novel devices with respiratory polygraphy, but less uncertainty compared to oximetry. For both comparators, data from a clinic, rather than home test setting are used, and some outcomes have not been modelled. There is insufficient evidence to assess the cost-effectiveness of novel home devices in children. Conclusions:Novel devices for home-based sleep studies in adults are a cost-effective alternative to oximetry, albeit with some uncertainty. It is difficult to assess the cost-effectiveness of the novel devices compared with respiratory polygraphy. Future work:More research is needed on the effectiveness of novel test devices used at home rather in clinics, trial-based designs and studies in children. Study registration:This study is registered as PROSPERO CRD42023443437. Funding:This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR135895) and is published in full in Health Technology Assessment; Vol. 30, No. 65. See the NIHR Funding and Awards website for further award information.

    2026
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    3Blood-test Monitoring Strategies for Patients Established on Immune-Suppressing Drugs: a Mixed-Methods Study
    Abhishek,Christopher Carroll,Munira Essat, Jo Leaviss,Georgina Nakafero,Amy Fuller,Matthew J Grainge,Jennie Hancox,Hywel C Williams,Timothy Card,Maarten W Taal,Guruprasad P Aithal,

    Background:The optimal monitoring strategy for adults with inflammatory conditions established on immune-suppressing treatment is unknown. Objectives:To ascertain the optimum strategy of monitoring blood tests for patients established on immune-suppressing drugs. The objectives were to: investigate the association between different strategies of monitoring and detection of pre-specified haematological, hepatic or renal side effects identify prognostic factors associated with pre-specified haematological, hepatic or renal side effects develop prediction models for pre-specified haematological, hepatic or renal side effects evaluate cost-effectiveness of testing strategies, and explore patients' and clinicians' experiences of current testing strategies, and acceptability of recommended strategies. Design:The study undertook systematic review, prognostic modelling, health economic modelling of alternate monitoring intervals, and qualitative study. Setting:Primary and secondary care. Participants:Data from the UK's Clinical Practice Research Datalink and British Association of Dermatologists Biologics Register were used for prediction modelling. Patients with inflammatory conditions treated with immune-suppressing drugs and health professionals were interviewed. Results:There were differences in testing strategies used, outcome definitions and follow-up precluding evidence synthesis. However, clinically significant pre-specified side effects were found to be uncommon or very uncommon during long-term treatment. There was high-quality evidence for elevated liver enzymes and folate non-supplementation being prognostic for methotrexate hepatotoxicity, mercaptopurine being prognostic for thiopurine hepatotoxicity and myelotoxicity; poor thiopurine metabolizer being prognostic for cytopenia; and elevated liver enzymes being prognostic for hepatotoxicity due to anti-tumour necrosis factor-alpha. Five prediction models were developed and validated. They had excellent performance characteristics. The calibration slope (95% confidence interval) in validation cohort was 0.94 (0.85 to 1.02) for methotrexate, 1.10 (0.84 to 1.36) for thiopurines, 0.91 (0.74 to 1.07) for leflunomide, 1.19 (0.96 to 1.43) for sulfasalazine, and 0.90 (0.61 to 1.19) for 5-aminosalicylates. Prediction modelling could not be undertaken for anti-tumour necrosis factor-alpha and mycophenolate due to few outcomes. Health economic modelling found it was cost-effective to increase the interval between monitoring blood tests except in very high-risk scenarios for some drugs (e.g. biennial testing in leflunomide). Eighteen patients from a range of risk profiles, and 13 health professionals were interviewed remotely. They found it acceptable to increase the interval between monitoring blood tests from 3-monthly to 6-monthly or annually depending on their risk profiles. Limitations:It was not possible to synthesise the association between different strategies of testing and detection of pre-specified side effects. A meta-analysis of prognostic factors was not possible. Conclusions:Clinically significant myelotoxicity, hepatotoxicity and nephrotoxicity are uncommon during long-term immune-suppressing drug treatment and were predicted using readily available information. Extending the intervals between monitoring blood tests was more cost-effective than the current practice. It was acceptable to patients and health professionals to increase the interval between monitoring blood tests. Future work:Test clinical effectiveness, undertake knowledge mobilisation, validate in non-UK populations. Research on other biologics. Study registration:The study is registered as PROSPERO CRD42020208042, CRD42020208042 and the interview studies were registered on ClinicalTrials.gov NCT05458531. Funding:This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR130580) and is published in full in Health Technology Assessment; Vol. 30, No. 64. See the NIHR Funding and Awards website for further award information.

    2026
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    4Natalizumab and Tyruko (natalizumab Biosimilar) for Treating Highly Active Relapsing-Remitting Multiple Sclerosis after at Least One Disease-Modifying Therapy: a Systematic Review and Economic Model
    Catalina Lopez Manzano, Ayman Sadek, Chris Cooper,Eve Tomlinson, Hanyu Wang, Claire Rice,Emma Tallantyre, Ananya Rao-Middleton,Penny Whiting,Howard Thom

    Background:Multiple sclerosis is an immune-mediated inflammatory disease, causing long-term disability in young adults. Most cases begin as relapsing-remitting multiple sclerosis. Some people have a form of relapsing-remitting multiple sclerosis known as highly active relapsing-remitting multiple sclerosis, defined as multiple sclerosis with unchanged or increased disease activity despite prior treatment with at least one disease-modifying therapy. Objectives:To appraise the clinical and cost-effectiveness of natalizumab [Tysabri® (Biogen, Cambridge, MA, USA)] and natalizumab biosimilar [Tyruko® (Sandoz)] for treating highly active relapsing-remitting multiple sclerosis compared to other disease-modifying therapy. Design:Systematic review with network meta-analysis and economic model. Searches last updated in April 2024. Results:We included 42 studies (22,409 participants): 40 in people with relapsing-remitting multiple sclerosis and 2 in highly active relapsing-remitting multiple sclerosis. Six studies also reported data separately for highly active relapsing-remitting multiple sclerosis. Only four studies evaluated natalizumab or natalizumab biosimilar; none provided data on those with highly active relapsing-remitting multiple sclerosis. Follow-up ranged from 4 to 36 (median 24) months. Most interventions reduced relapses (39 studies, 17 interventions) and magnetic resonance imaging lesions (19 studies, 11 interventions for gadolinium enhancing lesions and 17 studies, 12 interventions for T2-weighted lesions) compared to placebo. Alemtuzumab, ocrelizumab, cladribine, natalizumab, fingolimod and peginterferon beta-1a reduced disease progression compared to placebo (15 studies, 12 interventions). There were no differences in any adverse events (24 studies, 16 interventions), serious adverse events (31 studies, 15 interventions) or treatment-related adverse events (8 studies, no network meta-analysis) for any intervention compared to placebo. Fingolimod, glatiramer acetate, interferon beta-1a, interferon beta-1b and peginterferon beta-1a were associated with an increased treatment discontinuation (29 studies, 13 interventions). There was little evidence for a difference in quality of life. There was no evidence of a difference between natalizumab and natalizumab biosimilar for relapse rates [rate ratio 0.65 (95% credible interval 0.33 to 1.23], gadolinium enhancing lesions [hazard ratio 1.29 (0.69 to 2.37)], T2-weighted lesions [hazard ratio 1.07 (0.73 to 1.57)], any adverse events [hazard ratio 1.06 (0.77 to 1.46)] or treatment discontinuation [hazard ratio 0.48 (0.13 to 1.76)]. Data in highly active relapsing-remitting multiple sclerosis were available for fingolimod, ocrelizumab, alemtuzumab, cladribine, interferon beta, autologous haematopoietic stem cell treatment and placebo. We also included one study on natalizumab conducted in a population that was close to our definition of highly active relapsing-remitting multiple sclerosis. All interventions except interferon beta-1a were associated with reduced relapse risk compared to placebo (six studies; seven interventions). Compared with natalizumab-intravenous, natalizumab biosimilar-intravenous and natalizumab subcutaneous, all treatments had greater net benefit at £20,000-30,000/quality-adjusted life-year, with the only exception being ocrelizumab, which had lower net benefits. Costs were generally higher on natalizumab than other treatments, though there was no difference in quality-adjusted life-years with 95% credible interval completely overlapping. The results and conclusions were unchanged under all sensitivities. VOI analysis found that the greatest contributor to decision uncertainty was the effectiveness of treatments. Conclusions:There is no direct evidence on the effectiveness of natalizumab or its biosimilar in patients with highly active relapsing-remitting multiple sclerosis. Limited data suggest similar effectiveness in patients with relapsing-remitting multiple sclerosis. The economic model found that natalizumab and natalizumab biosimilar were not cost-effective compared to any of the included comparators in highly active relapsing-remitting multiple sclerosis, with similar quality-adjusted life-years but higher costs, with the only exception being ocrelizumab. Future work:There is need for studies of natalizumab and natalizumab biosimilar in people with highly active relapsing-remitting multiple sclerosis. Study registration:The study is registered as PROSPERO CRD42024556838. Funding:This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR165943) and is published in full in Health Technology Assessment; Vol. 30, No. 60. See the NIHR Funding and Awards website for further award information.

    2026
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    5Development and Evaluation of the Electronic Frailty Index+ (efi+) Tool for Older People: Prognostic Prediction Modelling with Integrated Decision Curve and Health Economic Analysis
    Lucinda Archer,Samuel D Relton,Ashley Akbari,Kate Best, Rebecca Bestwick,Milica Bucknall,Simon Conroy,Miriam Hattle,Joe Hollinghurst,Daniel Howdon,Claire Hulme,Sara Humphrey,

    Background:Our aim was to develop and evaluate the electronic frailty index+, a prognostic tool, including four integrated prognostic-decision models, to stratify older people into subgroups for targeting key interventions. Methods:Prognostic model development, internal validation and external validation using large data sets and longitudinal cohort study data, with decision curve and health economic analysis. Population:Patients aged 65+ years. Key outcomes:The 12-month outcomes for prognostic models: new home care package care home admission emergency department attendance/hospitalisation with fall/fracture all-cause mortality. Statistical methods:We developed and internally validated models for our key outcomes in one large data set. We used internal-external cross-validation for the home care model and full external validation for the remaining three models in a second large data set. We used CARE75+ to investigate additional predictive value of clinical measures practical for primary care. Decision curve analysis:We translated the prognostic models into a framework to support clinical decision-making. Health economic evaluation:We integrated the falls prediction models with effect size estimates from network meta-analysis to examine potential cost savings. Results:We used data from 660,417 patients in SAIL, 88,947 in Connected Bradford and 252 CARE75+ participants. Model performance was promising in internal-external cross-validation, with average calibration slope 1.00 (95% confidence interval 0.99 to 1.01), average calibration-in-the-large -0.01 (95% confidence interval -0.02 to 0.01), average observed/expected ratio 0.99 (95% confidence interval 0.98 to 1.01) and average C-statistic 0.81 (95% confidence interval 0.81 to 0.81). Emergency department attendance/hospitalisation with fall/fracture:Model performance was promising on internal and external validation, although with some evidence for overprediction of falls risk, with calibration slope 1.25 (95% confidence interval 1.24 to 1.27), calibration-in-the-large -0.931 (95% confidence interval -0.938 to -0.920), observed/expected ratio 0.43 (95% confidence interval 0.42 to 0.44), C-statistic 0.83 (0.82 to 0.83). Care home admission:Model performance was promising on internal validation, but it showed some miscalibration on external validation, with calibration slope 0.75 (95% CI 0.74 to 0.76), calibration-in-the-large -1.60 (-1.62 to -1.58) and observed/expected ratio 0.25 (95% CI 0.24 to 0.25), C-statistic of 0.86 (95% CI 0.86 to 0.86). All-cause mortality:The model showed excellent performance across the full range of predicted risks on external validation, with average calibration slope 1.00 (0.98 to 1.01), average calibration-in-the-large -0.23 (-0.27 to -0.19), average observed/expected ratio 0.77 (0.75 to 0.79) and average C-statistic 0.83 (0.82 to 0.83). Economic modelling:Modelling indicated that provision of multifactorial assessment and treatment for people with an annual falls risk of ≥ 40% has the largest cost reduction per targeted person (£1025). Discussion:All four prediction models have promising predictive performance, although some had evidence of overprediction of risk (miscalibration). Decision curve analysis indicates potential clinical utility, and economic modelling provides novel information for policy-makers and commissioners. Future work:Future research should include model impact studies to evaluate use of the models in routine care. Limitations:We were unable to complete external validation of the home care prediction model. Study registration:This study is registered as ClinicalTrials.gov ID NCT04113174. Funding:This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 127905) and is published in full in Health Technology Assessment; Vol. 30, No. 61. See the NIHR Funding and Awards website for further award information.

    2026
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