Applying the win ratio method in clinical trials of orphan drugs: an analysis of data from the COMET trial of avalglucosidase alfa in patients with late-onset Pompe disease.

BACKGROUND: Clinical trials for rare diseases often include multiple endpoints that capture the effects of treatment on different disease domains. In many rare diseases, the primary endpoint is not standardized across trials. The win ratio approach was designed to analyze multiple endpoints of interest in clinical trials and has mostly been applied in cardiovascular trials. Here, we applied the win ratio approach to data from COMET, a phase 3 trial in late-onset Pompe disease, to illustrate how this approach can be used to analyze multiple endpoints in the orphan drug context. METHODS: All possible participant pairings from both arms of COMET were compared sequentially on changes at week 49 in upright forced vital capacity (FVC) % predicted and six-minute walk test (6MWT). Each participant's response for the two endpoints was first classified as a meaningful improvement, no meaningful change, or a meaningful decline using thresholds based on published minimal clinically important differences (FVC ± 4% predicted, 6MWT ± 39 m). Each comparison assessed whether the outcome with avalglucosidase alfa (AVA) was better than (win), worse than (loss), or equivalent to (tie) the outcome with alglucosidase alfa (ALG). If tied on FVC, 6MWT was compared. In this approach, the treatment effect is the ratio of wins to losses ("win ratio"), with ties excluded. RESULTS: In the 2499 possible pairings (51 receiving AVA × 49 receiving ALG), the win ratio was 2.37 (95% confidence interval [CI], 1.30-4.29, p = 0.005) when FVC was compared before 6MWT. When the order was reversed, the win ratio was 2.02 (95% CI, 1.13-3.62, p = 0.018). CONCLUSION: The win ratio approach can be used in clinical trials of rare diseases to provide meaningful insight on treatment benefits from multiple endpoints and across disease domains.

Correction: Chua et al. Cost-Effectiveness Analysis of HPV Extended versus Partial Genotyping for Cervical Cancer Screening in Singapore. Cancers 2023, 15, 1812.

The authors wish to revise two words in Table 1 row 3, and the first paragraph of Section 2 [...].

Cost-Effectiveness Analysis of HPV Extended versus Partial Genotyping for Cervical Cancer Screening in Singapore.

Human papillomavirus (HPV) partial genotyping (PGT) identifies HPV16 and HPV18 individually, alongside 12 other high-risk HPV genotypes (hrHPV) collectively. HPV extended genotyping (XGT) identifies four additional hrHPV individually (HPV31, 45, 51, and 52), and reports the remaining eight in three groups (HPV33|58; 56|59|66; 35|39|68). Quality-adjusted life years (QALY), health care resource use, and costs of XGT were compared to PGT for cervical cancer screening in Singapore using DICE simulation. Women with one of the three hrHPV identified by XGT (HPV35|39|68; 56|59|66; 51), and atypical squamous cells of undetermined significance (ASCUS) on cytology, are recalled for a repeat screening in one year, instead of undergoing an immediate colposcopy with PGT. At the repeat screening, the colposcopy is performed only for persistent same-genotype infections in XGT, while with PGT, all the women with persistent HPV have a colposcopy. Screening 500,122 women, aged 30-69, with XGT, provided an incremental cost-effectiveness ratio (ICER) versus PGT of SGD 16,370/QALY, with 7130 (19.4%) fewer colposcopies, 6027 (7.0%) fewer cytology tests, 9787 (1.6%) fewer clinic consultations, yet 2446 (0.5%) more HPV tests. The XGT ICER remains well below SGD 100,000 in sensitivity analyses, (-SGD 17,736/QALY to SGD 50,474/QALY). XGT is cost-effective compared to PGT, utilizes fewer resources, and provides a risk-based approach as the primary cervical cancer screening method.

The Impact of Restrictive Transfusion Practices on Hemodynamically Stable Critically Ill Children Without Heart Disease: A Secondary Analysis of the Age of Blood in Children in the PICU Trial.

OBJECTIVES: Guidelines recommend against RBC transfusion in hemodynamically stable (HDS) children without cardiac disease, if hemoglobin is greater than or equal to 7 g/dL. We sought to assess the clinical and economic impact of compliance with RBC transfusion guidelines. DESIGN: A nonprespecified secondary analysis of noncardiac, HDS patients in the randomized trial Age of Blood in Children (NCT01977547) in PICUs. Costs analyzed included ICU stay and physician fees. Stabilized inverse propensity for treatment weighting was used to create a cohort balanced with respect to potential confounding variables. Weighted regression models were fit to evaluate outcomes based on guideline compliance. SETTING: Fifty international tertiary care centers. PATIENTS: Critically ill children 3 days to 16 years old transfused RBCs at less than or equal to 7 days of ICU admission. Six-hundred eighty-seven subjects who met eligibility criteria were included in the analysis. INTERVENTIONS: Initial RBC transfusions administered when hemoglobin was less than 7 g/dL were considered "compliant" or "non-compliant" if hemoglobin was greater than or equal to 7 g/dL. MEASUREMENTS AND MAIN RESULTS: Frequency of new or progressive multiple organ system dysfunction (NPMODS), ICU survival, and associated costs. The hypothesis was formulated after data collection but exposure groups were masked until completion of planned analyses. Forty-nine percent of patients (338/687) received a noncompliant initial transfusion. Weighted cohorts were balanced with respect to confounding variables (absolute standardized differences < 0.1). No differences were noted in NPMODS frequency (relative risk, 0.86; 95% CI, 0.61-1.22; p = 0.4). Patients receiving compliant transfusions had more ICU-free days (mean difference, 1.73; 95% CI, 0.57-2.88; p = 0.003). Compliance reduced mean costs in ICU by $38,845 U.S. dollars per patient (95% CI, $65,048-$12,641). CONCLUSIONS: Deferring transfusion until hemoglobin is less than 7 g/dL is not associated with increased organ dysfunction in this population but is independently associated with increased likelihood of live ICU discharge and lower ICU costs.

Metal-organic frameworks and covalent organic frameworks as disruptive membrane materials for energy-efficient gas separation.

In this Review we survey the molecular sieving behaviour of metal-organic framework (MOF) and covalent organic framework (COF) membranes, which is different from that of classical zeolite membranes. The nature of MOFs as inorganic-organic hybrid materials and COFs as purely organic materials is powerful and disruptive for the field of gas separation membranes. The possibility of growing neat MOFs and COFs on membrane supports, while also allowing successful blending into polymer-filler composites, has a huge advantage over classical zeolite molecular sieves. MOFs and COFs allow synthetic access to more than 100,000 different structures and tailor-made molecular gates. Additionally, soft evacuation below 100 °C is often enough to achieve pore activation. Therefore, a huge number of synthetic methods for supported MOF and COF membrane thin films, such as solvothermal synthesis, seed-mediated growth and counterdiffusion, exist. Among them, methods with high scale-up potential, for example, layer-by-layer dip- and spray-coating, chemical and physical vapour deposition, and electrochemical methods. Additionally, physical methods have been developed that involve external stimuli, such as electric fields and light. A particularly important point is their ability to react to stimuli, which has allowed the 'drawbacks' of the non-ideality of the molecular sieving properties to be exploited in a completely novel research direction. Controllable gas transport through membrane films is a next-level property of MOFs and COFs, leading towards adaptive process deviation. MOF and COF particles are highly compatible with polymers, which allows for mixed-matrix membranes. However, these membranes are not simple MOF-polymer blends, as they require improved polymer-filler interactions, such as cross-linking or surface functionalization.

A Framework for Integrating Continuous Glucose Monitor-Derived Metrics into Economic Evaluations in Type 1 Diabetes.

Economic models in type 1 diabetes have relied on a change in haemoglobin A1c as the link between the blood glucose trajectory and long-term clinical outcomes, including microvascular and macrovascular disease. The landscape has changed in the past decade with the availability of regulatory approved, accurate and convenient continuous glucose monitoring devices and their ability to track patients' glucose levels over time. The data emerging from continuous glucose monitoring have enriched the clinical understanding of the disease and indirectly of patients' behaviour. This has triggered the development of new measures proposed to better define the quality of glycaemic control, beyond haemoglobin A1c. The objective of this paper is to review recent developments in clinical knowledge brought into focus with the application of continuous glucose monitoring devices, and to discuss potential approaches to incorporate the concepts into economic models in type 1 diabetes. Based on a targeted review and a series of multidisciplinary workshops, an influence diagram was developed that captures newer concepts (e.g. continuous glucose monitoring metrics) that can be integrated into economic models and illustrates their association with more established concepts. How the additional continuous glucose monitoring-based indicators of glycaemic control may contribute to economic modelling beyond haemoglobin A1c, and more accurately reflect the economic value of novel type 1 diabetes treatments, is discussed.

Factores asociados al control óptimo simultáneo de la diabetes, hipertensión arterial e hipercolesterolemia en la población diabética. Estudio BPC diabetes / Factors associated with the optimum simultaneous control of diabetes, arterial hypertension and hypercholesterolemia in the diabetic population. BPC Diabetes study

Objetivos: Conocer el grado de control óptimo simultáneo de la diabetes (DM), hipertensión arterial (HTA) e hipercolesterolemia y determinar los factores asociados. Material y métodos: Estudio descriptivo transversal en pacientes diabéticos de 18 o más de edad, seleccionados consecutivamente en consultas de medicina de familia (MF). Los datos de los pacientes se obtuvieron mediante acceso a la historia informatizada, registrándose variables clínicas y analíticas de interés. Se consideró buen control metabólico una HbA1c < 7%, buen control de la presión arterial (PA) valores < 140/80 mmHg y buen control de colesterol LDL (c-LDL) valores < 100 mg/dL. Se realizó análisis bivariante y se calcularon odds ratio (OD) en un modelo de regresión logística. El estudio fue aprobado por el CEIm del Hospital Clínico San Carlos (Madrid). Resultados: Se incluyó a 1.420 pacientes (55,8% varones), con una edad media (DE) de 70,6 (10,8) años. El 75,9% eran hipertensos y el 69,1% dislipémicos. Los valores de HbA1c fueron de 6,9 (1,2) %, PA sistólica 135,0 (16,8) mmHg, PA diastólica 75,9 (10,6) mmHg y LDL-colesterol 93,7 (32,8) mg/dL. El buen control metabólico de la DM se alcanzó en el 63% (intervalo de confianza [IC] 95%: 60,4-65,5), el buen control de la HTA en el 42,6% (IC 95%: 40,0-45,2) y el buen control de colesterol LDL en el 61,1% (IC 95%: 58,4-63,7) de los pacientes. El buen control de los tres factores de riesgo cardiovascular (FRCV) simultáneamente se alcanzó en el 16,1% (IC 95%: 14,2-18,1). Se observó una asociación positiva e independiente (p < 0,05) entre el buen control simultáneo de los FRCV con la edad (OR: 1.017) y los antecedentes personales de enfermedad cardiovascular (OR: 1.596). Conclusiones: Los resultados de nuestro estudio indican que una proporción pequeña, menos de dos de cada 10 pacientes cumplen los objetivos de buen control recomendados por las guías de práctica clínica (AU)

Objectives: To know the degree of simultaneous optimal control of diabetes (DM), high blood pressure (BP) and hypercholesterolemia and determine the associated factors. Material and method: Cross-sectional descriptive study in diabetic patients 18 years aged or older selected consecutively in primary care centers (PC). Patient data were obtained through access to electronical clinical history. Clinical and analytical variables of interest were registered. Good metabolic control was considered as HbA1c < 7%, good blood pressure control (PA) as values < 140/80 mmHg and good LDL cholesterol control (c-LDL) as values < 100 mg/dL. Bivariate analysis was performed and odds ratio were calculated in a logistic regression model. The study was approved by the San Carlos Clinical Hospital's Clinical Research Ethics Committee (CREC), in Madrid. Results: 1420 patients (55.8% male), with an average (SD) age of 70.6 (10.8) years were included. 75.9% were hypertensive patients, and 69.1% dyslipemic. HbA1c values were 6.9 (1.2) %, sistolic BP 135.0 (16.8) mmHg, diastolic BP 75.9 (10.6) mmHg and LDL-cholesterol 93.7 (32.8) mg/dL. Good metabolic control of DM was achieved at 63.0% (95% CI: 60.4–65.5), good control of HTA at 42.6% (95% CI: 40.0–45.2) and good LDL cholesterol control in 61.1% (95% IC: 58.4–63.7) of patients. Good simultaneous control of the three cardiovascular risk factors (CVRF) was reached at 16.1% (95% CI: 14.2–18.1). A positive and independent association (p<0.05) was observed between good simultaneous control of CVRF with age (OR: 1.017) and with personal history of cardiovascular disease (OR: 1.596). Conclusions: The results of our study indicate that a small proportion, less than two out of 10 patients, meet the good control goals recommended by clinical practice guidelines. We found important differences between patients with and without cardiovascular disease (AU)

Prediction of Recurrent Ischemic Stroke Using Registry Data and Machine Learning Methods: The Erlangen Stroke Registry.

BACKGROUND: There have been multiple efforts toward individual prediction of recurrent strokes based on structured clinical and imaging data using machine learning algorithms. Some of these efforts resulted in relatively accurate prediction models. However, acquiring clinical and imaging data is typically possible at provider sites only and is associated with additional costs. Therefore, we developed recurrent stroke prediction models based solely on data easily obtained from the patient at home. METHODS: Data from 384 patients with ischemic stroke were obtained from the Erlangen Stroke Registry. Patients were followed at 3 and 12 months after first stroke and then annually, for about 2 years on average. Multiple machine learning algorithms were applied to train predictive models for estimating individual risk of recurrent stroke within 1 year. Double nested cross-validation was utilized for conservative performance estimation and models' learning capabilities were assessed by learning curves. Predicted probabilities were calibrated, and relative variable importance was assessed using explainable artificial intelligence techniques. RESULTS: The best model achieved the area under the curve of 0.70 (95% CI, 0.64-0.76) and relatively good probability calibration. The most predictive factors included patient's family and housing circumstances, rehabilitative measures, age, high calorie diet, systolic and diastolic blood pressures, percutaneous endoscopic gastrotomy, number of family doctor's home visits, and patient's mental state. CONCLUSIONS: Developing fairly accurate models for individual risk prediction of recurrent ischemic stroke within 1 year solely based on registry data is feasible. Such models could be applied in a home setting to provide an initial risk assessment and identify high-risk patients early.

Dolor, calidad de vida y salud mental en pacientes con gonalgia por gonartrosis: estudio de casos y controles / Pain, quality of life and mental health in patients with gonalgia due to gonarthrosis: Cases and controls study

Objetivo: Evaluar el dolor, la calidad de vida y el estado psicológico en pacientes con gonalgia por gonartrosis. Material y métodos: Estudio epidemiológico, multicéntrico, de casos y controles. Se incluyeron 1.152 pacientes (576 con artrosis y 576 sin artrosis) apareados por edad y sexo, procedentes de 63 centros de salud de España. Se les administró la escala visual analógica de dolor de Huskisson y los cuestionarios EuroQol y Goldberg. Se realizó un análisis descriptivo y comparativo de los datos en ambos grupos. Se estudiaron los factores que influían en la CV y salud mental de los pacientes artrósicos con modelos de regresión logística. Resultados: Se incluyeron 576 pacientes casos y 576 controles. El 70,3% eran mujeres en ambos grupos. La puntuación media en la escala visual analógica de los artrósicos fue 65,2±4,9mm correspondiente a una intensidad moderada. El cuestionario EuroQol indicó peor estado de salud (p<0,05) en los pacientes con artrosis en todas sus dimensiones. El cuestionario Goldberg mostró la presencia de psicopatología en el 36,5% (n=209) de los casos, frente a un 14,0% (n=80) en los controles (p<0,001). El dolor fue la variable que afectó a la CV en todas las dimensiones (p<0,001). Conclusiones: Los pacientes con artrosis manifiestan dolor moderado, limitación de la movilidad, del cuidado personal y de las actividades cotidianas que repercute negativamente en su CV y psicológicamente se encuentran más afectados. Es prioritario desarrollar estrategias de autocuidado y tratamiento en estos pacientes para mejorar globalmente su CV (AU)

Objective: To evaluate pain, quality of life and psychological state in patients with gonalgia due to gonarthrosis. Material and methods: Epidemiological, multicenter, case–control study. 1.152 patients were included (576 with arthrosis and 576 without arthrosis) matched by age and sex, from 63 health centers in Spain. The Huskisson Pain Scale (VAS), the EuroQol and Goldberg questionnaires were administered. A descriptive and comparative analysis of the data was carried out in both groups. Factors influencing the quality of life and mental health of arthritic patientes were studied with logistic regression models. Results: 576 case patients and 576 controls were included. 70.3% were women in both groups. The mean score in the VAS score of the arthritic patients was 65±4.9mm corresponding to a moderate intensity. The EQ-5D questionnaire indicated a worse state of health (P<.05) in patients with osteoarthritis in each of its dimensions. In the GHQ-12 questionnaire, the presence of psychopathology was detected in 36.5% (n=209) of patients with osteoarthritis compared to 14.0% (n=80) in controls (P<.001). Pain was the variable that affected quality of life in all dimensions (P<.001). Conclusions: Patients with arthrosis manifest moderate pain due to this disease. They present a limitation of mobility, personal care and daily activities that negatively affects their quality of life and psychologically they are more affected. It is a priority to develop self-care and treatment strategies in this group of subjects to globally improve their quality of life (AU)

[Pain, quality of life and mental health in patients with gonalgia due to gonarthrosis: Cases and controls study]. / Dolor, calidad de vida y salud mental en pacientes con gonalgia por gonartrosis: estudio de casos y controles.

OBJECTIVE: To evaluate pain, quality of life and psychological state in patients with gonalgia due to gonarthrosis. MATERIAL AND METHODS: Epidemiological, multicenter, case-control study. 1.152 patients were included (576 with arthrosis and 576 without arthrosis) matched by age and sex, from 63 health centers in Spain. The Huskisson Pain Scale (VAS), the EuroQol and Goldberg questionnaires were administered. A descriptive and comparative analysis of the data was carried out in both groups. Factors influencing the quality of life and mental health of arthritic patientes were studied with logistic regression models. RESULTS: 576 case patients and 576 controls were included. 70.3% were women in both groups. The mean score in the VAS score of the arthritic patients was 65±4.9mm corresponding to a moderate intensity. The EQ-5D questionnaire indicated a worse state of health (P<.05) in patients with osteoarthritis in each of its dimensions. In the GHQ-12 questionnaire, the presence of psychopathology was detected in 36.5% (n=209) of patients with osteoarthritis compared to 14.0% (n=80) in controls (P<.001). Pain was the variable that affected quality of life in all dimensions (P<.001). CONCLUSIONS: Patients with arthrosis manifest moderate pain due to this disease. They present a limitation of mobility, personal care and daily activities that negatively affects their quality of life and psychologically they are more affected. It is a priority to develop self-care and treatment strategies in this group of subjects to globally improve their quality of life.

[Factors associated with the optimum simultaneous control of diabetes, arterial hypertension and hypercholesterolemia in the diabetic population. BPC Diabetes study]. / Factores asociados al control óptimo simultáneo de la diabetes, hipertensión arterial e hipercolesterolemia en la población diabética. Estudio BPC diabetes.

OBJECTIVES: To know the degree of simultaneous optimal control of diabetes (DM), high blood pressure (BP) and hypercholesterolemia and determine the associated factors. MATERIAL AND METHOD: Cross-sectional descriptive study in diabetic patients 18 years aged or older selected consecutively in primary care centers (PC). Patient data were obtained through access to electronical clinical history. Clinical and analytical variables of interest were registered. Good metabolic control was considered as HbA1c < 7%, good blood pressure control (PA) as values < 140/80 mmHg and good LDL cholesterol control (c-LDL) as values < 100 mg/dL. Bivariate analysis was performed and odds ratio were calculated in a logistic regression model. The study was approved by the San Carlos Clinical Hospital's Clinical Research Ethics Committee (CREC), in Madrid. RESULTS: 1420 patients (55.8% male), with an average (SD) age of 70.6 (10.8) years were included. 75.9% were hypertensive patients, and 69.1% dyslipemic. HbA1c values were 6.9 (1.2) %, sistolic BP 135.0 (16.8) mmHg, diastolic BP 75.9 (10.6) mmHg and LDL-cholesterol 93.7 (32.8) mg/dL. Good metabolic control of DM was achieved at 63.0% (95% CI: 60.4-65.5), good control of HTA at 42.6% (95% CI: 40.0-45.2) and good LDL cholesterol control in 61.1% (95% IC: 58.4-63.7) of patients. Good simultaneous control of the three cardiovascular risk factors (CVRF) was reached at 16.1% (95% CI: 14.2-18.1). A positive and independent association (p<0.05) was observed between good simultaneous control of CVRF with age (OR: 1.017) and with personal history of cardiovascular disease (OR: 1.596). CONCLUSIONS: The results of our study indicate that a small proportion, less than two out of 10 patients, meet the good control goals recommended by clinical practice guidelines. We found important differences between patients with and without cardiovascular disease.

Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories.

OBJECTIVES: To assist with planning hospital resources, including critical care (CC) beds, for managing patients with COVID-19. METHODS: An individual simulation was implemented in Microsoft Excel using a discretely integrated condition event simulation. Expected daily cases presented to the emergency department were modeled in terms of transitions to and from ward and CC and to discharge or death. The duration of stay in each location was selected from trajectory-specific distributions. Daily ward and CC bed occupancy and the number of discharges according to care needs were forecast for the period of interest. Face validity was ascertained by local experts and, for the case study, by comparing forecasts with actual data. RESULTS: To illustrate the use of the model, a case study was developed for Guy's and St Thomas' Trust. They provided inputs for January 2020 to early April 2020, and local observed case numbers were fit to provide estimates of emergency department arrivals. A peak demand of 467 ward and 135 CC beds was forecast, with diminishing numbers through July. The model tended to predict higher occupancy in Level 1 than what was eventually observed, but the timing of peaks was quite close, especially for CC, where the model predicted at least 120 beds would be occupied from April 9, 2020, to April 17, 2020, compared with April 7, 2020, to April 19, 2020, in reality. The care needs on discharge varied greatly from day to day. CONCLUSIONS: The DICE simulation of hospital trajectories of patients with COVID-19 provides forecasts of resources needed with only a few local inputs. This should help planners understand their expected resource needs.

Evaluating Montréal's harm reduction interventions for people who inject drugs: protocol for observational study and cost-effectiveness analysis.

INTRODUCTION: The main harm reduction interventions for people who inject drugs (PWID) are supervised injection facilities, needle and syringe programmes and opioid agonist treatment. Current evidence supporting their implementation and operation underestimates their usefulness by excluding skin, soft tissue and vascular infections (SSTVIs) and anoxic/toxicity-related brain injury from cost-effectiveness analyses (CEA). Our goal is to conduct a comprehensive CEA of harm reduction interventions in a setting with a large, dispersed, heterogeneous population of PWID, and include prevention of SSTVIs and anoxic/toxicity-related brain injury as measures of benefit in addition to HIV, hepatitis C and overdose morbidity and mortalities averted. METHODS AND ANALYSIS: This protocol describes how we will develop an open, retrospective cohort of adult PWID living in Québec between 1 January 2009 and 31 December 2020 using administrative health record data. By complementing this data with non-linkable paramedic dispatch records, regional monthly needle and syringe dispensation counts and repeated cross-sectional biobehavioural surveys, we will estimate the hazards of occurrence and the impact of Montréal's harm reduction interventions on the incidence of drug-use-related injuries, infections and deaths. We will synthesise results from our empirical analyses with published evidence to simulate infections and injuries in a hypothetical population of PWID in Montréal under different intervention scenarios including current levels of use and scale-up, and assess the cost-effectiveness of each intervention from the public healthcare payer's perspective. ETHICS AND DISSEMINATION: This study was approved by McGill University's Institutional Review Board (Study Number: A08-E53-19B). We will work with community partners to disseminate results to the public and scientific community via scientific conferences, a publicly accessible report, op-ed articles and open access peer-reviewed journals.

Risk factors in adolescents as predictors of arterial hypertension in adults: Protocol for a systematic review.

This is a protocol of a review paper, and there is no abstract. This review is part of a doctoral project that aims to develop a discrete event simulation model to predict how many adolescents may become hypertensive in adulthood. We will use data from the Brazilian study of cardiovascular risks in adolescents, called ERICA (Portuguese acronym). This study may help promote adherence to disease prevention protocols.

Economic evaluation of betibeglogene autotemcel (Beti-cel) gene addition therapy in transfusion-dependent ß-thalassemia.

Background: Standard of care (SoC) for transfusion-dependent ß-thalassemia (TDT) requires lifelong, regular blood transfusions as well as chelation to reduce iron accumulation. Objective: This study investigates the cost-effectiveness of betibeglogene autotemcel ('beti-cel'; LentiGlobin for ß-thalassemia) one-time, gene addition therapy compared to lifelong SoC for TDT. Study design: Microsimulation model simulated the lifetime course of TDT based on a causal sequence in which transfusion requirements determine tissue iron levels, which in turn determine risk of iron overload complications that increase mortality. Clinical trial data informed beti-cel clinical parameters; effects of SoC on iron levels came from real-world studies; iron overload complication rates and mortality were based on published literature. Setting: USA; commercial payer perspective Participants: TDT patients age 2-50 Interventions: Beti-cel is compared to SoC. Main outcome measure: Incremental cost-effectiveness ratio (ICER) utilizing quality-adjusted life-years (QALYs) Results: The model predicts beti-cel adds 3.8 discounted life years (LYs) or 6.9 QALYs versus SoC. Discounted lifetime costs were $2.28 M for beti-cel ($572,107 if excluding beti-cel cost) and $2.04 M for SoC, with a resulting ICER of $34,833 per QALY gained. Conclusion: Beti-cel is cost-effective for TDT patients compared to SoC. This is due to longer survival and cost offset of lifelong SoC.

Using Discretely Integrated Condition Event Simulation To Construct Quantitative Benefit-Risk Models: The Example of Rotavirus Vaccination in France.

PURPOSE: Although quantitative benefit-risk models (qBRms) are indisputably valuable tools for gaining comprehensive assessments of health care interventions, they are not systematically used, probably because they lack an integrated framework that provides methodologic structure and harmonization. An alternative that allows all stakeholders to design operational models starting from a standardized framework was recently developed: the discretely integrated condition event (DICE) simulation. The aim of the present work was to assess the feasibility of implementing a qBRm in DICE, using the example of rotavirus vaccination. METHODS: A model of rotavirus vaccination was designed using DICE and implemented in spreadsheet software with 3 worksheets: Conditions, Events, and Outputs. Conditions held the information in the model; this information changed at Events, and Outputs were special Conditions that stored the results collected during the analysis. A hypothetical French birth cohort was simulated for the assessment of rotavirus vaccination over time. The benefits were estimated for up to 5 years, and the risks in the 7 days following rotavirus vaccination versus no vaccination were assessed, with the results expressed as benefit-risk ratios. FINDINGS: This qBRm model required 8 Events, 38 Conditions, and 9 Outputs. Two Events cyclically updated the rates of rotavirus gastroenteritis (RVGE) and intussusception (IS) according to age. Vaccination occurred at 2 additional Events, according to the vaccination scheme applied in France, and affected the occurrence of the other Events. Outputs were the numbers of hospitalizations related to RVGE and to IS, and related deaths. The entire model was specified in a small set of tables contained in a 445-KB electronic workbook. Analyses showed that for each IS-related hospitalization or death caused, 1613 (95% credible interval, 1001-2800) RVGE-related hospitalizations and 787 (95% credible interval, 246-2691) RVGE-related deaths would be prevented by vaccination. These results are consistent with those from a published French study using similar inputs but a very different modeling approach. IMPLICATIONS: A limitation of the DICE approach was the extended run time needed for completing the sensitivity analyses when implemented in the electronic worksheets. DICE provided a user-friendly integrated framework for developing qBRms and should be considered in the development of structured approaches to facilitate benefit-risk assessment.

[Factors associated with cardiovascular risk and cardiovascular and renal disease in the IBERICAN study: Final results]. / Factores asociados al riesgo cardiovascular y enfermedad cardiovascular y renal en el estudio IBERICAN (Identificación de la poBlación Española de RIesgo CArdiovascular y reNal): resultados definitivos.

OBJECTIVE: To analyse the prevalence in clinical practice of cardiovascular risk factors (CVRF) and cardiovascular disease (CVD), as well as their causal relationship, in the study inclusion visit. MATERIAL AND METHODS: Cross-sectional analysis of the study inclusion visit of 8,066 patients of 18 to 85years of age included in the IBERICAN study. By reviewing the medical history, analytics and medical visits, the patient's physician has collected socio-demographic information, personal and family history and prevalence of CVRF and CVD and renal disease. A multivariate analysis was carried out using a logistic regression that included the autonomous region variable as a random effect variable, in order to analyse the impact of certain variables on the development of each CVRF, metabolic syndrome, subclinical organ damage, renal disease, and CVD. RESULTS: Dyslipidaemia was 2.4 times more frequent in diabetics, and the risk was increased by 59% in hypertensive patients. Arterial hypertension was twice as frequent in diabetics, and increased 94% in hyperuricaemic patients and 62.1% in dyslipidaemia patients. Diabetes mellitus was 2.5 times higher in dyslipidaemia patients, and 2.2 times higher in hypertensive patients. CVD was four times more frequent in patients with a family history, and the risk in women was increased by 90.8% and by 53.8% in patients with renal disease. CONCLUSIONS: The Spanish population seen in Primary Care that were analysed in the IBERICAN study had a high prevalence of CVRF and CVD, which gives it a high CVR. The multivariate analysis performed shows a close causal relationship between the CVRF with each other, and with renal disease and CVD.

Leveraging DICE (Discretely-Integrated Condition Event) Simulation to Simplify the Design and Implementation of Hybrid Models.

OBJECTIVES: Using an example of an existing model constructed by the National Institute for Health and Care Excellence (NICE) to inform a real health technology assessment, this study seeks to demonstrate how a discretely integrated condition event (DICE) simulation can improve the implementation of Markov models. METHODS: Using the technical report and spreadsheet, the original model was translated to a standard DICE simulation without making any changes to the design. All original analyses were repeated and the results were compared. Aspects that could have improved the original design were then considered. RESULTS: The original model consisted of 32 copies (8 risk strata × 4 treatments) of the Markov structure, containing more than 6000 Microsoft Excel® formulas (18 MB files). Three aspects (nonadherence, scheduled treatment stop, and end of fracture risk) were handled by incorporating weighted averages into the cycle-specific calculations. The DICE implementation used 3 conditions to represent the states and a single transition event to apply the probabilities; 3 additional events processed the special aspects, and profiles handled the 8 strata (0.12 MB file). One replication took 16 seconds. The original results were reproduced but extensive additional sensitivity analyses, including structural analyses, were enabled. CONCLUSION: Implementing a real Markov model using DICE simulation both preserves the advantages of the approach and expands the available tools, improving transparency and ease of use and review.