Dave Wright

Cannabinoids in multiple sclerosis (CAMS) study: safety and efficacy data for 12 months follow up

Objective: To test the effectiveness and long term safety of cannabinoids in multiple sclerosis (MS), in a follow up to the main Cannabinoids in Multiple Sclerosis (CAMS) study. Methods: In total, 630 patients with stable MS with muscle spasticity from 33 UK centres were randomised to receive oral Δ9-tetrahydrocannabinol (Δ9-THC), cannabis extract, or placebo in the main 15 week CAMS study. The primary outcome was change in the Ashworth spasticity scale. Secondary outcomes were the Rivermead Mobility Index, timed 10 metre walk, UK Neurological Disability Score, postal Barthel Index, General Health Questionnaire-30, and a series of nine category rating scales. Following the main study, patients were invited to continue medication, double blinded, for up to12 months in the follow up study reported here. Results: Intention to treat analysis of data from the 80% of patients followed up for 12 months showed evidence of a small treatment effect on muscle spasticity as measured by change in Ashworth score from baseline to 12 months (Δ9-THC mean reduction 1·82 (n = 154, 95% confidence interval (CI) 0.53 to 3.12), cannabis extract 0.10 (n = 172, 95% CI −0.99 to 1.19), placebo −0.23 (n = 176, 95% CI −1.41 to 0.94); p = 0.04 unadjusted for ambulatory status and centre, p = 0.01 adjusted). There was suggestive evidence for treatment effects of Δ9-THC on some aspects of disability. There were no major safety concerns. Overall, patients felt that these drugs were helpful in treating their disease. Conclusions: These data provide limited evidence for a longer term treatment effect of cannabinoids. A long term placebo controlled study is now needed to establish whether cannabinoids may have a role beyond symptom amelioration in MS.

Screening for trisomies 21, 18 and 13 by maternal age, fetal nuchal translucency, fetal heart rate, free β-hCG and pregnancy-associated plasma protein-A

BACKGROUND A beneficial consequence of screening for trisomy 21 is the early diagnosis of trisomies 18 and 13. Our objective was to examine the performance of first-trimester screening for trisomies 21, 18 and 13 by maternal age, fetal nuchal translucency (NT) thickness, fetal heart rate (FHR) and maternal serum-free beta-hCG and pregnancy-associated plasma protein-A (PAPP-A). METHODS Prospective screening for trisomy 21 by maternal age, fetal NT, free beta-hCG and PAPP-A at 11(+0)-13(+6) weeks in singleton pregnancies, including 56 376 normal cases, 395 with trisomy 21, 122 with trisomy 18 and 61 with trisomy 13. Risk algorithms were developed for the calculation of patient-specific risks for each of the three trisomies based on maternal age, NT, FHR, free beta-hCG and PAPP-A. Detection (DR) and false positive rates (FPR) were calculated and adjusted according to the maternal age distribution of pregnancies in England and Wales in 2000-2002. RESULTS The DR and FPR were 90% and 3%, respectively, for trisomy 21, 91% and 0.2% for trisomy 18 and 87% and 0.2% for trisomy 13. When screen positivity was defined by an FPR of 3% on the risk for trisomy 21 in conjunction with an FPR of 0.2% on the maximum of the risks for trisomies 13 and 18, the overall FPR was 3.1% and the DRs of trisomies 21, 18 and 13 were 91%, 97% and 94%, respectively. CONCLUSIONS As a side effect of first-trimester screening for trisomy 21, approximately 95% of trisomy 13 and 18 fetuses can be detected with an 0.1% increase in the FPR.

Position statement from the Aneuploidy Screening Committee on behalf of the Board of the International Society for Prenatal Diagnosis

Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT, USA Prenatal Diagnosis Unit, Institute of Gynecology, Obstetrics and Neonatology, Hospital Clinic, Maternitat Campus, University of Barcelona Medical School, Catalonia, Spain Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands Department of Obstetrics and Gynecology, Albert Einstein College of Medicine, New York, NY, USA Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB, Canada Department of Obstetrics and Gynecology, Assaf Harofe Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA Department of Obstetrics and Gynecology, Washington University in St Louis, St Louis, MO, USA Laboratory for Infectious Diseases and Perinatal Screening, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands Prenatal Screening Unit, Clinical Biochemistry Department, Barking Havering & Redbridge University Hospitals, King George Hospital, Goodmayes, UK Genetics Program, North York General Hospital, Toronto, ON, Canada Department of Mathematics and Statistics, University of Plymouth, Plymouth, UK Prenatal Diagnosis Unit, Genetic Institute, Sourasky Medical Center, Tel Aviv, Israel *Correspondence to: Peter Benn. E-mail: benn@nso1.uchc.edu This Statement replaces the January 2011 Statement (Prenatal Diagnosis 2011;31:519–522) and the Rapid Response Statement (Prenatal Diagnosis 2012;32:1–2).

Prenatal Detection of Down Syndrome using Massively Parallel Sequencing (MPS): a rapid response statement from a committee on behalf of the Board of the International Society for Prenatal Diagnosis, 24 October 2011

Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT, USA Prenatal Diagnosis Unit, Institute of Gynecology, Obstetrics and Neonatology, Hospital Clinic, Maternitat Campus, University of Barcelona Medical School, Catalonia, Spain Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA Department of Obstetrics and Gynecology, Albert Einstein College of Medicine, New York, NY, USA Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB, Canada Department of Obstetrics and Gynecology, Assaf Harofe Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel Department of Obstetrics and Gynecology, Washington University in St Louis, St Louis, MO, USA Laboratory for Infectious Diseases and Perinatal Screening, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands Prenatal Screening Unit, Clinical Biochemistry Department, Barking Havering and Redbridge University Hospital, King George Hospital, Goodmayes, UK Department of Mathematics and Statistics, University of Plymouth, Plymouth, UK Prenatal Diagnosis Unit, Genetic Institute, Sourasky Medical Center, Tel Aviv, Israel *Correspondence to: Peter Benn. E-mail: benn@nso1.uchc.edu

Position statement from the Chromosome Abnormality Screening Committee on behalf of the Board of the International Society for Prenatal Diagnosis

President President-Elect Past President Secretary Treasurer Lucas Otano MD, PhD (Argentina) Ignatia B. Van den Veyver MD (USA) Jan M.M. van Lith MD, PhD (Netherlands) Louise Wilkins-Haug MD (USA) Antoni Borrell MD, PhD (Spain) Directors Peter Benn PhD, DSc (USA) Lyn Chitty PhD (UK) Rossa Chiu (Hong Kong) Roland Devlieger MD, PhD (Belgium) Sylvie Langlois MD, CCMG (Canada) Anthony O. Odibo MD, MSCE (USA) R. Doug Wilson MD, Msc, FRCSC (Canada) Yuval Yaron MD (Israel) Diana W. Bianchi MD, ex officio (USA) Position Statement from the Chromosome Abnormality Screening Committee on Behalf of the Board of the International Society for Prenatal Diagnosis

A reassessment of biochemical marker distributions in trisomy 21-affected and unaffected twin pregnancies in the first trimester

To estimate the difference between levels of the two biochemical markers pregnancy‐associated plasma protein‐A (PAPP‐A) and maternal serum free β‐human chorionic gonadotropin (free β‐hCG) in twin pregnancies relative to singleton pregnancies and establish an improved screening procedure for chromosomal abnormalities such as trisomy 21 in twin pregnancies.

Aneuploidy screening: a position statement from a committee on behalf of the Board of the International Society for Prenatal Diagnosis, January 2011

Definitive prenatal diagnosis of Down syndrome and certain other fetal aneuploidies through chromosome analysis of amniocytes or chorionic villus samples (CVS) is an accepted part of prenatal care. But these procedures carry some degree of risk for miscarriage or other pregnancy complications (Tabor and Alfirevic, 2010). Therefore, in most developed countries it is now a routine practice to provide a woman’s personal risk for aneuploidy (screening) and to offer definitive diagnosis through amniocentesis or CVS if the risk exceeds a fixed cut-off. However, in the United States it has been recommended that amniocentesis and CVS should be available to all women whether or not they have screening (American College of Obstetricians and Gynecologists, 2007a), although it is recognized that screening can be helpful to women before they decide whether to accept or reject amniocentesis or CVS (American College of Obstetricians and Gynecologists, 2007b). Fetal aneuploidy risk can be evaluated on the basis of a combination of maternal age, prior family history, maternal serum biochemical tests and fetal ultrasound markers (Cuckle and Benn, 2010). Risk evaluation provides an opportunity to re-assure most women that their fetus is unlikely to be affected by a chromosomal disorder and also to reduce the number of unnecessary invasive procedures performed. Those women who are identified as being at high risk can receive genetic counseling, additional testing and appropriate follow-up obstetric care. Because Down syndrome is the most common significant aneuploidy, prenatal screening has emphasized the detection of this disorder. However, it is recognized that many of the screening tests have a variable potential to detect other aneuploidies, some other genetic disorders, specific fetal anatomic abnormalities and pregnancy complications such as preeclampsia.

Patient-orientated longitudinal study of multiple sclerosis in south west England (The South West Impact of Multiple Sclerosis Project, SWIMS) 1: protocol and baseline characteristics of cohort

BackgroundThere is a need for greater understanding of the impact of multiple sclerosis (MS) from the perspective of individuals with the condition. The South West Impact of MS Project (SWIMS) has been designed to improve understanding of disease impact using a patient-centred approach. The purpose is to (1) develop improved measurement instruments for clinical trials, (2) evaluate longitudinal performance of a variety of patient-reported outcome measures, (3) develop prognostic predictors for use in individualising drug treatment for patients, particularly early on in the disease course.MethodsThis is a patient-centred, prospective, longitudinal study of multiple sclerosis and clinically isolated syndrome (CIS) in south west England. The study area comprises two counties with a population of approximately 1.7 million and an estimated 1,800 cases of MS. Self-completion questionnaires are administered to participants every six months (for people with MS) or 12 months (CIS). Here we present descriptive statistics of the baseline data provided by 967 participants with MS.ResultsSeventy-five percent of those approached consented to participate. The male:female ratio was 1.00:3.01 (n = 967). Average (standard deviation) age at time of entry to SWIMS was 51.6 (11.5) years (n = 961) and median (interquartile range) time since first symptom was 13.3 (6.8 to 24.5) years (n = 934). Fatigue was the most commonly reported symptom, with 80% of participants experiencing fatigue at baseline. Although medication use for symptom control was common, there was little evidence of effectiveness, particularly for fatigue. Nineteen percent of participants were unable to classify their subtype of MS. When patient-reported subtype was compared to neurologist assessment for a sample of participants (n = 396), agreement in disease sub-type was achieved in 63% of cases. There were 836 relapses, reported by 931 participants, in the twelve months prior to baseline. Twenty-three percent of the relapsing-remitting group and 12% of the total sample were receiving disease-modifying therapy at baseline.ConclusionsDemographics of this sample were similar to published data for the UK. Overall, the results broadly reflect clinical experience in confirming high symptom prevalence, with relatively little complete symptom relief. Participants often had difficulty in defining MS relapses and their own MS type.

The Cannabinoid Use in Progressive Inflammatory brain Disease (CUPID) trial: a randomised double-blind placebo-controlled parallel-group multicentre trial and economic evaluation of cannabinoids to slow progression in multiple sclerosis.

BACKGROUND The Cannabinoid Use in Progressive Inflammatory brain Disease (CUPID) trial aimed to determine whether or not oral Δ(9)-tetrahydrocannabinol (Δ(9)-THC) slowed the course of progressive multiple sclerosis (MS); evaluate safety of cannabinoid administration; and, improve methods for testing treatments in progressive MS. OBJECTIVES There were three objectives in the CUPID study: (1) to evaluate whether or not Δ(9)-THC could slow the course of progressive MS; (2) to assess the long-term safety of Δ(9)-THC; and (3) to explore newer ways of conducting clinical trials in progressive MS. DESIGN The CUPID trial was a randomised, double-blind, placebo-controlled, parallel-group, multicentre trial. Patients were randomised in a 2 : 1 ratio to Δ(9)-THC or placebo. Randomisation was balanced according to Expanded Disability Status Scale (EDSS) score, study site and disease type. Analyses were by intention to treat, following a pre-specified statistical analysis plan. A cranial magnetic resonance imaging (MRI) substudy, Rasch measurement theory (RMT) analyses and an economic evaluation were undertaken. SETTING Twenty-seven UK sites. PARTICIPANTS Adults aged 18-65 years with primary or secondary progressive MS, 1-year evidence of disease progression and baseline EDSS 4.0-6.5. INTERVENTIONS Oral Δ(9)-THC (maximum 28 mg/day) or matching placebo. ASSESSMENT VISITS Three and 6 months, and then 6-monthly up to 36 or 42 months. MAIN OUTCOME MEASURES Primary outcomes were time to EDSS progression, and change in Multiple Sclerosis Impact Scale-29 version 2 (MSIS-29v2) 20-point physical subscale (MSIS-29phys) score. Various secondary patient- and clinician-reported outcomes and MRI outcomes were assessed. RMT analyses examined performance of MS-specific rating scales as measurement instruments and tested for a symptomatic or disease-modifying treatment effect. Economic evaluation estimated mean incremental costs and quality-adjusted life-years (QALYs). RESULTS Effectiveness - recruitment targets were achieved. Of the 498 randomised patients (332 to active and 166 to placebo), 493 (329 active and 164 placebo) were analysed. PRIMARY OUTCOMES no significant treatment effect; hazard ratio EDSS score progression (active : placebo) 0.92 [95% confidence interval (CI) 0.68 to 1.23]; and estimated between-group difference in MSIS-29phys score (active-placebo) -0.9 points (95% CI -2.0 to 0.2 points). Secondary clinical and MRI outcomes: no significant treatment effects. Safety - at least one serious adverse event: 35% and 28% of active and placebo patients, respectively. RMT analyses - scale evaluation: MSIS-29 version 2, MS Walking Scale-12 version 2 and MS Spasticity Scale-88 were robust measurement instruments. There was no clear symptomatic or disease-modifying treatment effect. Economic evaluation - estimated mean incremental cost to NHS over usual care, over 3 years £27,443.20 per patient. No between-group difference in QALYs. CONCLUSIONS The CUPID trial failed to demonstrate a significant treatment effect in primary or secondary outcomes. There were no major safety concerns, but unwanted side effects seemed to affect compliance. Participants were more disabled than in previous studies and deteriorated less than expected, possibly reducing our ability to detect treatment effects. RMT analyses supported performance of MS-specific rating scales as measures, enabled group- and individual person-level examination of treatment effects, but did not influence study inferences. The intervention had significant additional costs with no improvement in health outcomes; therefore, it was dominated by usual care and not cost-effective. Future work should focus on determining further factors to predict clinical deterioration, to inform the development of new studies, and modifying treatments in order to minimise side effects and improve study compliance. The absence of disease-modifying treatments in progressive MS warrants further studies of the cannabinoid pathway in potential neuroprotection. TRIAL REGISTRATION Current Controlled Trials ISRCTN62942668. FUNDING The National Institute for Health Research Health Technology Assessment programme, the Medical Research Council Efficacy and Mechanism Evaluation programme, Multiple Sclerosis Society and Multiple Sclerosis Trust. The report will be published in full in Health Technology Assessment; Vol. 19, No. 12. See the NIHR Journals Library website for further project information.

Using the Multiple Sclerosis Impact Scale to Estimate Health State Utility Values: Mapping from the MSIS-29, Version 2, to the EQ-5D and the SF-6D

OBJECTIVES The 29-item Multiple Sclerosis Impact Scale (MSIS-29) is a psychometrically validated patient-reported outcome measure increasingly used in trials of treatments for multiple sclerosis. However, it is non-preference-based and not amenable for use across policy decision-making contexts. Our objective was to statistically map from the MSIS-29, version 2, to the EuroQol five-dimension (EQ-5D) and the six-dimension health state short form (derived from short form 36 health survey) (SF-6D) to estimate algorithms for use in cost-effectiveness analyses. METHODS The relationships between MSIS-29, version 2, and EQ-5D and SF-6D scores were estimated by using data from a cohort of people with multiple sclerosis in South West England (n=672). Six ordinary least squares (OLS), Tobit, and censored least adjusted deviation (CLAD) regression analyses were conducted on estimation samples, including the use of subscale and item scores, squared and interaction terms, and demographics. Algorithms from models with the smallest estimation errors (mean absolute error [MAE], root mean square error [RMSE], normalized RMSE) were then assessed by using separate validation samples. RESULTS Tobit and CLAD. For the EQ-5D, the OLS models including subscale squared terms, and item scores and demographics performed comparably (MAE 0.147, RMSE 0.202 and MAE 0.147, RMSE 0.203, respectively), and estimated scores well up to 3 years post-baseline. Estimation errors for the SF-6D were smaller (OLS model including squared terms: MAE 0.058, RMSE 0.073; OLS model using item scores and demographics: MAE 0.059, RMSE 0.08), and the errors for poorer health states found with the EQ-5D were less pronounced. CONCLUSIONS We have provided algorithms for the estimation of health state utility values, both the EQ-5D and SF-6D, from scores on the MSIS-29, version 2. Further research is now needed to determine how these algorithms perform in practical decision-making contexts, when compared with observed EQ-5D and SF-6D values.