Frank Dahlke
Novartis
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Publication
Featured researches published by Frank Dahlke.
Lancet Neurology | 2013
Krzysztof Selmaj; David Li; Hans-Peter Hartung; Bernhard Hemmer; Ludwig Kappos; Mark S. Freedman; Olaf Stüve; Peter Rieckmann; Xavier Montalban; Tjalf Ziemssen; Lixin Zhang Auberson; Harald Pohlmann; Francois Mercier; Frank Dahlke; Erik Wallström
BACKGROUND Siponimod is an oral selective modulator of sphingosine 1-phosphate receptor types 1 and type 5, with an elimination half-life leading to washout in 7 days. We aimed to determine the dose-response relation of siponimod in terms of its effects on brain MRI lesion activity and characterise safety and tolerability in patients with relapsing-remitting multiple sclerosis. METHODS In this double-blind, adaptive dose-ranging phase 2 study, we enrolled adults (aged 18-55 years) with relapsing-remitting multiple sclerosis at 73 medical centres in Europe and North America. We tested two patient cohorts sequentially, separated by an interim analysis at 3 months. We randomly allocated patients in cohort 1 (1:1:1:1) to receive once-daily siponimod 10 mg, 2 mg, or 0·5 mg, or placebo for 6 months. We randomly allocated patients in cohort 2 (4:4:1) to siponimod 1·25 mg, siponimod 0·25 mg, or placebo once-daily for 3 months. Randomisation was done with a central, automated system and patients and investigators were masked to treatment assignment. The primary endpoint was dose-response, assessed by percentage reduction in monthly number of combined unique active lesions at 3 months for siponimod versus placebo; this endpoint was analysed by a multiple comparison procedure with modelling techniques in all patients with at least one MRI scan up to 3 months. We assessed safety in all patients who received at least one dose of study drug. This study is registered with ClinicalTrials.gov, number NCT00879658. FINDINGS Between March 30, 2009, and Oct 22, 2010, we recruited 188 patients into cohort 1 and 109 patients into cohort 2. We showed a dose-response relation (p=0·0001) across the five doses of siponimod, with reductions in combined unique active lesions at 3 months compared with placebo of 35% (95% CI 17-57) for siponimod 0·25 mg (51 patients included in the primary endpoint analysis), 50% (29-69) for siponimod 0·5 mg (43 patients), 66% (48-80) for siponimod 1·25 mg (42 patients), 72% (57-84) for siponimod 2 mg (45 patients), and 82% (70-90) for siponimod 10 mg (44 patients). In patients treated for 6 months, 37 (86%) of 43 patients who received siponimod 0·5 mg had adverse events (eight serious), as did 48 (98%) of 49 patients who received siponimod 2 mg (four serious), 48 (96%) of 50 patients who received siponimod 10 mg (three serious), and 36 (80%) of 45 controls (none serious). For individuals treated to 3 months, 38 (74%) of 51 patients who received siponimod 0·25 mg had adverse events (none serious), as did 29 (69%) of 42 patients who received siponimod 1·25 mg (two serious) and 13 (81%) of 16 controls (none serious). INTERPRETATION Therapeutic effects of siponimod on MRI lesion activity in model-based analyses and its tolerability in relapsing-remitting multiple sclerosis warrant investigation in a phase 3 trial. FUNDING Novartis Pharma AG.
Neurology | 2015
Ludwig Kappos; Ernst Wilhelm Radue; Giancarlo Comi; Xavier Montalban; Helmut Butzkueven; Heinz Wiendl; Gavin Giovannoni; Hans-Peter Hartung; Tobias Derfuss; Yvonne Naegelin; Till Sprenger; Nicole Mueller-Lenke; Sarah Griffiths; Philipp von Rosenstiel; Rebecca Gottschalk; Ying Zhang; Frank Dahlke; Davorka Tomic
Objective: To investigate the effect of different natalizumab washout (WO) periods on recurrence of MRI and clinical disease activity in patients switching from natalizumab to fingolimod. Methods: In this multicenter, double-blind, placebo-controlled trial (TOFINGO), patients with relapsing-remitting multiple sclerosis (RRMS) were randomized 1:1:1 to 8-, 12-, or 16-week WO followed by fingolimod treatment over 32 weeks from last natalizumab infusion (LNI). Brain MRI was performed at baseline and weeks 8, 12, 16, 20, and 24. Results: Of 142 enrolled and randomized patients, 112 (78.9%) completed the study (8 weeks, n = 41/50; 12 weeks, n = 31/42; 16 weeks, n = 40/50). Number (95% confidence interval [CI]) of active (new/newly enlarged T2) lesions from LNI through 8 weeks of fingolimod treatment (primary outcome) was similar in the 8-week (2.1 [1.7–2.6]) and 12-week WO groups (1.7 [1.3–2.2]) and higher in the 16-week WO group (8.2 [7.3–9.1]). During the WO period only, the number (95% CI) of active lesions increased with increasing WO duration (8 weeks, 0.4 [0.2–0.6]; 12 weeks, 2.1 [1.6–2.6]; 16 weeks, 3.6 [3.0–4.2]). Over the 24 weeks from LNI, gadolinium-enhancing T1 lesion counts were lower in the 8-week WO group (14.1 [5.67–22.53]) than in the 12-week (21.3 [1.41–41.19]) or 16-week (18.5 [8.40–28.60]) WO groups. More patients were relapse-free in the 8-week (88%) and 12-week (91%) WO groups than the 16-week WO group (84%). Sixty-eight percent of patients experienced adverse events (mostly mild/moderate), with similar incidence across groups. No unusually severe relapses or opportunistic infections occurred. Conclusions: Initiating fingolimod therapy 8–12 weeks after natalizumab discontinuation is associated with a lower risk of MRI and clinical disease reactivation than initiation after 16-week WO. Classification of evidence: This study provides Class II evidence that for patients with RRMS switching from natalizumab to fingolimod, shorter natalizumab WO periods are associated with less MRI disease activity than are longer WO periods.
Neurology | 2015
Jens Kuhle; Giulio Disanto; Johannes Lorscheider; Tracy Stites; Yu Chen; Frank Dahlke; Gordon Francis; Anupama Shrinivasan; Ernst-Wilhelm Radue; Gavin Giovannoni; Ludwig Kappos
Objective: We assessed CSF levels of the light chain subunit of neurofilaments (NfL) at baseline and after fingolimod therapy or placebo in patients with relapsing-remitting multiple sclerosis (RRMS). Changes in NfL levels were also correlated with relapse and MRI outcomes. Methods: CSF samples were available, at baseline and 12 months after treatment initiation, from a subset of 36 patients with RRMS (fingolimod 0.5 mg: n = 9; fingolimod 1.25 mg: n = 15; placebo: n = 12) participating in the 2-year, phase 3 Fingolimod (FTY720) Research Evaluating Effects of Daily Oral Therapy in Multiple Sclerosis (FREEDOMS) study. NfL levels were determined in a blinded fashion using a commercial ELISA kit. Results: Median NfL levels did not differ between treatment groups at baseline (0.5 mg: 644 pg/mL; 1.25 mg: 659 pg/mL; pooled 0.5/1.25 mg: 652 pg/mL, placebo: 886 pg/mL; p value [fingolimod vs placebo] = 0.619, 0.495, and 0.481, respectively). Following 12 months of treatment, median changes from baseline in NfL levels were lower than zero in the fingolimod groups (0.5 mg: −346 pg/mL, p = 0.039; 1.25 mg: −313 pg/mL, p = 0.035) and pooled 0.5/1.25 mg fingolimod group (−326 pg/mL, 83.3% with reduction, p = 0.002) but not in the placebo group (−214 pg/mL, 66.7% with reduction, p = 0.388). Reductions in NfL levels at month 12 correlated with an improvement in relapse and MRI outcomes. Conclusions: Our results suggest a beneficial effect of fingolimod on this marker of axonal injury and support the utility of NfL as a quantitative biomarker in multiple sclerosis.
Multiple sclerosis and related disorders | 2015
Gorana Capkun; Frank Dahlke; Raquel Lahoz; Beth L. Nordstrom; Hugh H. Tilson; Gary Cutter; Dorina Bischof; Alan Moore; Jason C. Simeone; Kathy H. Fraeman; Fabrice Bancken; Yvonne Geissbühler; Michael Wagner; Stanley Cohan
BACKGROUND Data are limited for mortality and comorbidities in patients with multiple sclerosis (MS). OBJECTIVES Compare mortality rates and event rates for comorbidities in MS (n=15,684) and non-MS (n=78,420) cohorts from the US Department of Defense (DoD) database. METHODS Comorbidities and all-cause mortality were assessed using the database. Causes of death (CoDs) were assessed through linkage with the National Death Index. Cohorts were compared using mortality (MRR) and event (ERR) rate ratios. RESULTS All-cause mortality was 2.9-fold higher in the MS versus non-MS cohort (MRR, 95% confidence interval [CI]: 2.9, 2.7-3.2). Frequent CoDs in the MS versus non-MS cohort were infectious diseases (6.2, 4.2-9.4), diseases of the nervous (5.8, 3.7-9.0), respiratory (5.0, 3.9-6.4) and circulatory (2.1, 1.7-2.7) systems and suicide (2.6, 1.3-5.2). Comorbidities including sepsis (ERR, 95% CI: 5.7, 5.1-6.3), ischemic stroke (3.8, 3.5-4.2), attempted suicide (2.4, 1.3-4.5) and ulcerative colitis (2.0, 1.7-2.3), were higher in the MS versus non-MS cohort. The rate of cancers was also higher in the MS versus the non-MS cohort, including lymphoproliferative disorders (2.2, 1.9-2.6) and melanoma (1.7, 1.4-2.0). CONCLUSIONS Rates of mortality and several comorbidities are higher in the MS versus non-MS cohort. Early recognition and management of comorbidities may reduce premature mortality and improve quality of life in patients with MS.
medical image computing and computer assisted intervention | 2014
Peter Kontschieder; Jonas F. Dorn; Cecily Morrison; Robert Corish; Darko Zikic; Abigail Sellen; Marcus D’Souza; Christian P. Kamm; Jessica Burggraaff; Prejaas Tewarie; Thomas Vogel; Michela Azzarito; Ben Glocker; Peter Chin; Frank Dahlke; C.H. Polman; Ludwig Kappos; Bernard M. J. Uitdehaag; Antonio Criminisi
This paper presents new learning-based techniques for measuring disease progression in Multiple Sclerosis (MS) patients. Our system aims to augment conventional neurological examinations by adding quantitative evidence of disease progression. An off-the-shelf depth camera is used to image the patient at the examination, during which he/she is asked to perform carefully selected movements. Our algorithms then automatically analyze the videos, assessing the quality of each movement and classifying them as healthy or non-healthy. Our contribution is three-fold: We i) introduce ensembles of randomized SVM classifiers and compare them with decision forests on the task of depth video classification; ii) demonstrate automatic selection of discriminative landmarks in the depth videos, showing their clinical relevance; iii) validate our classification algorithms quantitatively on a new dataset of 1041 videos of both MS patients and healthy volunteers. We achieve average Dice scores well in excess of the 80% mark, confirming the validity of our approach in practical applications. Our results suggest that this technique could be fruitful for depth-camera supported clinical assessments for a range of conditions.
Multiple Sclerosis Journal | 2015
Giancarlo Comi; R. Gold; Frank Dahlke; Arijit Sinha; P. von Rosenstiel; Davorka Tomic; L. Kappos
In post hoc analyses of an open-label, phase 3b study (FIRST), relapse rates during 4 months of fingolimod therapy were compared in patients with and without previous natalizumab exposure. Reductions in the proportion of patients experiencing relapses and annualized relapse rates (ARRs) from years 1 and 1–2 pre-study were evident between months 1 and 2 of fingolimod treatment, and were most pronounced in natalizumab-naïve patients and those who discontinued natalizumab >6 months pre-study. Patients who discontinued natalizumab 3–6 months pre-study had a peak ARR during month 1 of fingolimod treatment, followed by a decrease during months 2–4. These data indicate that fingolimod has the potential to reduce disease reactivation but that timing of treatment initiation may be critical for achieving an optimal effect.
Current Medical Research and Opinion | 2015
Gorana Capkun; Raquel Lahoz; Elisabetta Verdun; Xue Song; Weston Chen; Jonathan R. Korn; Frank Dahlke; Rita Freitas; Kathy H. Fraeman; Jason C. Simeone; Barbara H. Johnson; Beth L. Nordstrom
Abstract Objective: Administrative claims databases provide a wealth of data for assessing the effect of treatments in clinical practice. Our aim was to propose methodology for real-world studies in multiple sclerosis (MS) using these databases. Research design and methods: In three large US administrative claims databases: MarketScan, PharMetrics Plus and Department of Defense (DoD), patients with MS were selected using an algorithm identified in the published literature and refined for accuracy. Algorithms for detecting newly diagnosed (‘incident’) MS cases were also refined and tested. Methodology based on resource and treatment use was developed to differentiate between relapses with and without hospitalization. Results: When various patient selection criteria were applied to the MarketScan database, an algorithm requiring two MS diagnoses at least 30 days apart was identified as the preferred method of selecting patient cohorts. Attempts to detect incident MS cases were confounded by the limited continuous enrollment of patients in these databases. Relapse detection algorithms identified similar proportions of patients in the MarketScan and PharMetrics Plus databases experiencing relapses with (2% in both databases) and without (15–20%) hospitalization in the 1 year follow-up period, providing findings in the range of those in the published literature. Limitation: Additional validation of the algorithms proposed here would increase their credibility. Conclusions: The methods suggested in this study offer a good foundation for performing real-world research in MS using administrative claims databases, potentially allowing evidence from different studies to be compared and combined more systematically than in current research practice.
JMIR Human Factors | 2015
Cecily Morrison; Marcus D'Souza; Kit Huckvale; Jonas F. Dorn; Jessica Burggraaff; Christian P. Kamm; Saskia Steinheimer; Peter Kontschieder; Antonio Criminisi; Bernard M. J. Uitdehaag; Frank Dahlke; Ludwig Kappos; Abigail Sellen
Background Sensor-based recordings of human movements are becoming increasingly important for the assessment of motor symptoms in neurological disorders beyond rehabilitative purposes. ASSESS MS is a movement recording and analysis system being developed to automate the classification of motor dysfunction in patients with multiple sclerosis (MS) using depth-sensing computer vision. It aims to provide a more consistent and finer-grained measurement of motor dysfunction than currently possible. Objective To test the usability and acceptability of ASSESS MS with health professionals and patients with MS. Methods A prospective, mixed-methods study was carried out at 3 centers. After a 1-hour training session, a convenience sample of 12 health professionals (6 neurologists and 6 nurses) used ASSESS MS to capture recordings of standardized movements performed by 51 volunteer patients. Metrics for effectiveness, efficiency, and acceptability were defined and used to analyze data captured by ASSESS MS, video recordings of each examination, feedback questionnaires, and follow-up interviews. Results All health professionals were able to complete recordings using ASSESS MS, achieving high levels of standardization on 3 of 4 metrics (movement performance, lateral positioning, and clear camera view but not distance positioning). Results were unaffected by patients’ level of physical or cognitive disability. ASSESS MS was perceived as easy to use by both patients and health professionals with high scores on the Likert-scale questions and positive interview commentary. ASSESS MS was highly acceptable to patients on all dimensions considered, including attitudes to future use, interaction (with health professionals), and overall perceptions of ASSESS MS. Health professionals also accepted ASSESS MS, but with greater ambivalence arising from the need to alter patient interaction styles. There was little variation in results across participating centers, and no differences between neurologists and nurses. Conclusions In typical clinical settings, ASSESS MS is usable and acceptable to both patients and health professionals, generating data of a quality suitable for clinical analysis. An iterative design process appears to have been successful in accounting for factors that permit ASSESS MS to be used by a range of health professionals in new settings with minimal training. The study shows the potential of shifting ubiquitous sensing technologies from research into the clinic through a design approach that gives appropriate attention to the clinic environment.
Multiple Sclerosis Journal | 2017
Marcus D’Souza; Özgür Yaldizli; Roland John; Deborah R. Vogt; Athina Papadopoulou; Elisabeth Lucassen; Milena Menegola; Michaela Andelova; Frank Dahlke; Franz Schnyder; Ludwig Kappos
Background: To improve the consistency of standardized Expanded Disability Status Scale (EDSS) assessments, an electronic data capture tool and analysis tool was developed, Neurostatus e-Scoring (NESC). This tool allows real-time feedback by comparing entries with established scoring rules. Objective: To test whether using NESC reduces inconsistencies as compared to the paper-and-pencil version of the Expanded Disability Status Scale (pEDSS). Methods: In all, 100 multiple sclerosis (MS) patients were assessed in random order on the same day by pairs of neurologists, one using pEDSS and one NESC. We compared inter-rater reliability and frequency of inconsistencies in Neurostatus subscores, functional system (FS) scores, ambulation and EDSS steps. Results: Inconsistencies of any type were more likely to occur when using pEDSS (mean odds ratio (95% confidence interval (CI)) = 2.93 (1.62; 5.29)). This was also the case for FS score inconsistencies (2.54 (1.40; 4.61)) and more likely for patients in the lower EDSS range (⩽3.5 vs >3.5) (5.32 (1.19; 23.77)). Overall, inter-rater agreement for the assessed Neurostatus subscores was high (median and inter-quartile range = 0.84 (0.73, 0.81)). Conclusion: Our data provide class II evidence that the use of NESC increases consistency of standardized EDSS assessments, and may thus have the potential to decrease noise and increase power of MS clinical trials.
Multiple Sclerosis Journal – Experimental, Translational and Clinical | 2018
Marcus D’Souza; Saskia Steinheimer; Jonas F. Dorn; Cecily Morrison; Jacques Boisvert; Kristina Kravalis; Jessica Burggraaff; Caspar E.P. van Munster; Manuela Diederich; Abigail Sellen; Christian P. Kamm; Frank Dahlke; Bernard M. J. Uitdehaag; Ludwig Kappos
Motor dysfunction, particularly ataxia, is one of the predominant clinical manifestations in patients with multiple sclerosis (MS). Assessment of motor dysfunction suffers from a high variability. We investigated whether the clinical rating of ataxia can be improved through the use of reference videos, covering the spectrum of severity degrees as defined in the Neurostatus-Expanded Disability Status Scale. Twenty-five neurologists participated. The variability of their assessments was significantly lower when reference videos were used (SD = 0.12; range = 0.40 vs SD = 0.26; range = 0.88 without reference videos; p = 0.013). Reference videos reduced the variability of clinical assessments and may be useful tools to improve the precision and consistency in the clinical assessment of motor functions in MS.