The Effect of Fremanezumab on Pain in Patients with Complex Regional Pain Syndrome: Study Protocol of a Randomized, Double-Blind, Proof-of-Concept, Placebo-Controlled Trial
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Settings
2.2. Recruitment of Participants
2.3. Study Visits
2.4. Study Procedures
- Pain diary: Patients fill in a pain diary, where they report the mean ADP and the least and worst pain in the previous 24 h. It is preferred that the patients complete the diary electronically via REDCap (Research Electronic Data Capture) hosted at Aarhus University [28,29]; otherwise, they are provided with a paper diary.
- Demographics: Interview questions include those regarding age, sex, race, ethnicity, education, and occupational status. Questions regarding limb domain before CRPS and CRPS duration are also asked.
- Blood samples: We perform a measurement of inflammatory markers in serum. A total of 10 mL blood is drawn at visits 2 and 4, and the specimen is refrigerated and stored in a biobank at Aarhus University Hospital.
- Skin biopsy: Biopsy is performed following published guidelines from the most painful area on the dorsal site of the affected limb and corresponding limb (3 biopsies) [30]. After intradermal injection of 1% lidocaine, a skin biopsy is obtained using sterile technique with a disposable 3 mm punch. Samples are fixed with Zamboni fixative overnight and then cryoprotected in 20% sucrose 0.1 M phosphate buffer. The biopsy specimen is refrigerated and stored in a biobank at Aarhus University Hospital. CGRP and other markers of inflammation are measured and quantified in skin biopsies using stereology [31].
- Quantitative sensory testing (QST): QST is a psychophysical method used to examine the function of the sensory nervous system using standardized thermal and mechanical stimuli, as proposed by the German Research Network on Neuropathic Pain. We measure the cold and warm detection thresholds (CDT and WDT), cold and heat pain thresholds (CPT and HPT), dynamic mechanical allodynia (DMA), mechanical detection and pain thresholds (MDT and MPT), and wind-up ratio (WUR), performed at the most painful area and at a corresponding non-painful area on the contralateral limb [32].
- Outcomes: See Section 2.7 on outcomes.
2.5. Randomization and Blinding
2.6. Intervention
2.7. Outcomes
- 1.
- Difference between groups (placebo vs. active treatment) in the change in self-reported daily ratings of mean ADP intensity in the affected limb from the baseline week (week −1) to the last week of treatment (week 8), as experienced during the past 24 h, rated on an 11-point NRS from 0–10 (0 = no pain; 10 = worst possible pain): the primary outcome is validated and recommended as a first Core Outcome Measurement set for complex regional PAin syndrome Clinical sTudies (COMPACT) and a standard measure of chronic pain in clinical trials [33,34,35,36].
- Difference in pain relief on a 6-point scale—complete, good, moderate, mild, none, or worse—assessed at visits 3 and 4.
- Differences in the area and intensity of mechanical allodynia, assessed by brushing a soft brush (Somedic) twice at a speed of 1–2 cm/s: the area is measured in cm and the intensity rated on an NRS (0–10) and compared to the unaffected site (assessed at visits 2–4).
- The relationship between the primary outcome measure and the duration of CRPS (measured in months).
- Differences between groups in the Patient Global Impression of Change (PGIC), assessed at visit 4: PGIC measures the patients’ overall change from baseline on a 7-point scale [39].
- Number of patients with a reduction of ≥30% and ≥50% reduction in the mean ADP in week 4 and week 8 compared to the baseline.
- Mean values of ADP for all 8 weeks.
- Differences between groups in the change in the least and worst pain in the previous 24 h, rated on an NRS from 0 to 10, assessed during the baseline week (−1) and the last week of treatment (week 8).
- Correlations between baseline measures of CGRP nerve fiber density in skin (mm2) and immune cells, i.e., Langerhans cells, macrophages, and keratinocytes, inflammatory markers in serum, skin flare response (FR) (measured as a % change in blood flow from baseline over time) [40,41], and treatment outcomes as measured by the mean ADP and CSS (visits 2 and 4).
- To measure differences from the baseline (visit 2) to visit 4 in inflammatory markers in serum, CGRP nerve fiber length density in skin (mm2), and immune cells, i.e., Langerhans cells, macrophages, and keratinocytes and skin FR.
- Differences in the area and intensity of evoked pain assessed via bedside sensory testing: the pain intensity is measured at the site of maximal pain or as close as possible; cold allodynia is assessed twice using a 20 °C cold Somedic thermal roller, and the same procedure is undertaken for warm allodynia (40 °C); pinprick hyperalgesia is assessed using a pinprick stimulator as the difference in the pain score of 2 stimulations at a control site and the pain site; pain is rated on an NRS (0–10); hyperpathia is assessed via repetitive mechanical pinprick stimulation at a rate of 2 HZ for 60 s, and the pain is rated using an NRS (0–10) at 10 s intervals until the pain ceases [52] (visits 2 and 4).
- Differences in z-scores and percentages of patients with abnormal scores on the QST, in a reduced version of the protocol by the German Network for Studying Neuropathic Pain [32] (visits 2 and 4): we will measure the CDT, WDT, CPT, HPT, DMA, MDT, MPT, and WUR at the most painful area and at a corresponding non-painful area on the contralateral limb.
- Differences in skin temperature of the affected and unaffected limbs using infrared thermometer [55] (visits 2 and 4).
- Differences in the measurement of Timed Up and Go (TUG) for lower extremities and the Nine-Hole Peg Test (9HPT) for upper extremities (measured in seconds) (visits 2 and 4).
- The difference in the intensity of the various pain symptoms assessed using the Neuropathic Pain Symptom Inventory (NPSI) [56] (visits 2 and 4).
- Percentages of patients with adverse effects registered in the treatment period, assessed via open-ended questions in both treatment groups.
- Differences in pain sensitivity at baseline (visit 2) and visit 4, assessed by using the Pain Sensitivity Questionnaire (PSQ) [57].
- Assessment of blinding: At the end of the blinded phase (visit 4), the assessment from the patient and investigator is recorded in the case report form (CRF) (whether they think the patient received an active treatment or placebo or do not know, as well as what reason this is based on (side effect, effect, or something else)).
- Assessment of patients’ expectation to the study drug (visit 2).
- A qualitative assessment of any difference in outcomes based on the pain intensity ratings in the pain diary and pain relief scores (visit 4).
2.8. Data Management Plan
2.9. Sample Size Calculation
2.10. Statistics
2.11. Ethical Considerations
2.12. Publication
3. Trial Status
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
9HPT | Nine-Hole Peg Test |
ADP | Average daily pain |
BOCF | Baseline observation carried forward |
CDT | Cold detection threshold |
CGRP | Calcitonin gene-related peptide |
COMPACT | Core Outcome Measurement set for complex regional PAin syndrome Clinical sTudies |
CPT | Cold pain threshold |
CRF | Case report form |
CRPS | Complex regional pain syndrome |
CSS | CRPS Severity Score |
CTIS | Clinical Trial Information System |
DMA | Dynamic mechanical allodynia |
DPRC | Danish Pain Research Center |
FR | Flare response |
GCP | Good Clinical Practice |
GDPR | General Data Protection Regulation |
HPT | Heat pain threshold |
IASP | International Association for the Study of Pain |
ICMJE | International Committee of Medical Journal Editors |
IQR | Interquartile range |
ITT | Intention to treat |
LOCF | Last observation carried forward |
MDT | Mechanical detection threshold |
MPT | Mechanical pain threshold |
NPSI | Neuropathic Pain Symptom Inventory |
NRS | Numeric rating scale |
PCS | Pain Catastrophizing Scale |
PGIC | Patient Global Impression of Change |
PROMIS | Patient-Reported Outcome Measurement Information System |
PSEQ | Pain Self-Efficacy Questionnaire |
PSQ | Pain Sensitivity Questionnaire |
QST | Quantitative sensory testing |
REDCap | Research Electronic Data Capture |
SD | Standard deviation |
SPIRIT | Standard Protocol Items: Recommendations for Interventional Trials |
TUG | Timed Up and Go |
WDT | Warm detection threshold |
WUR | Wind-up ratio |
References
- Ferraro, M.C.; O’Connell, N.E.; Sommer, C.; Goebel, A.; Bultitude, J.H.; Cashin, A.G.; Moseley, G.L.; McAuley, J.H. Complex regional pain syndrome: Advances in epidemiology, pathophysiology, diagnosis, and treatment. Lancet Neurol. 2024, 23, 522–533. [Google Scholar] [CrossRef] [PubMed]
- Bruehl, S. Complex regional pain syndrome. BMJ 2015, 351, h2730. [Google Scholar] [CrossRef]
- Johnson, S.; Cowell, F.; Gillespie, S.; Goebel, A. Complex regional pain syndrome what is the outcome?—A systematic review of the course and impact of CRPS at 12 months from symptom onset and beyond. Eur. J. Pain. 2022, 26, 1203–1220. [Google Scholar] [CrossRef]
- Park, H.Y.; Jang, Y.E.; Oh, S.; Lee, P.B. Psychological Characteristics in Patients with Chronic Complex Regional Pain Syndrome: Comparisons with Patients with Major Depressive Disorder and Other Types of Chronic Pain. J. Pain. Res. 2020, 13, 389–398. [Google Scholar] [CrossRef]
- Elsamadicy, A.A.; Yang, S.; Sergesketter, A.R.; Ashraf, B.; Charalambous, L.; Kemeny, H.; Ejikeme, T.; Ren, X.; Pagadala, P.; Parente, B.; et al. Prevalence and Cost Analysis of Complex Regional Pain Syndrome (CRPS): A Role for Neuromodulation. Neuromodulation 2018, 21, 423–430. [Google Scholar] [CrossRef] [PubMed]
- Scholz-Odermatt, S.M.; Luthi, F.; Wertli, M.M.; Brunner, F. Direct Health Care Cost and Work Incapacity Related to Complex Regional Pain Syndrome in Switzerland: A Retrospective Analysis from 2008 to 2015. Pain. Med. 2019, 20, 1559–1569. [Google Scholar] [CrossRef]
- Basbaum, A.I.; Bautista, D.M.; Scherrer, G.; Julius, D. Cellular and molecular mechanisms of pain. Cell 2009, 139, 267–284. [Google Scholar] [CrossRef]
- Schmelz, M.; Petersen, L.J. Neurogenic inflammation in human and rodent skin. News Physiol. Sci. 2001, 16, 33–37. [Google Scholar] [CrossRef] [PubMed]
- Birklein, F.; Schmelz, M. Neuropeptides, neurogenic inflammation and complex regional pain syndrome (CRPS). Neurosci. Lett. 2008, 437, 199–202. [Google Scholar] [CrossRef]
- Russell, F.A.; King, R.; Smillie, S.J.; Kodji, X.; Brain, S.D. Calcitonin gene-related peptide: Physiology and pathophysiology. Physiol. Rev. 2014, 94, 1099–1142. [Google Scholar] [CrossRef]
- Li, W.W.; Guo, T.Z.; Shi, X.; Birklein, F.; Schlereth, T.; Kingery, W.S.; Clark, J.D. Neuropeptide regulation of adaptive immunity in the tibia fracture model of complex regional pain syndrome. J. Neuroinflamm. 2018, 15, 105. [Google Scholar] [CrossRef] [PubMed]
- Birklein, F.; Ajit, S.K.; Goebel, A.; Perez, R.; Sommer, C. Complex regional pain syndrome—Phenotypic characteristics and potential biomarkers. Nat. Rev. Neurol. 2018, 14, 272–284. [Google Scholar] [CrossRef]
- Ferraro, M.C.; Cashin, A.G.; Wand, B.M.; Smart, K.M.; Berryman, C.; Marston, L.; Moseley, G.L.; McAuley, J.H.; O’Connell, N.E. Interventions for treating pain and disability in adults with complex regional pain syndrome- an overview of systematic reviews. Cochrane Database Syst. Rev. 2023, 6, Cd009416. [Google Scholar] [CrossRef]
- Goebel, A.; Turner-Stokes, L.F. Complex Regional Pain Syndrome in Adults: UK Guidelines for Diagnosis, Referral and Management in Primary and Secondary Care; Royal College of Physicians of London: London, UK, 2018. [Google Scholar]
- Harden, R.N.; McCabe, C.S.; Goebel, A.; Massey, M.; Suvar, T.; Grieve, S.; Bruehl, S. Complex Regional Pain Syndrome: Practical Diagnostic and Treatment Guidelines, 5th Edition. Pain. Med. 2022, 23, S1–S53. [Google Scholar] [CrossRef] [PubMed]
- Deng, H.; Li, G.G.; Nie, H.; Feng, Y.Y.; Guo, G.Y.; Guo, W.L.; Tang, Z.P. Efficacy and safety of calcitonin-gene-related peptide binding monoclonal antibodies for the preventive treatment of episodic migraine—An updated systematic review and meta-analysis. BMC Neurol. 2020, 20, 57. [Google Scholar] [CrossRef] [PubMed]
- Han, L.; Liu, Y.; Xiong, H.; Hong, P. CGRP monoclonal antibody for preventive treatment of chronic migraine: An update of meta-analysis. Brain Behav. 2019, 9, e01215. [Google Scholar] [CrossRef]
- Schott Andersen, A.S.; Maarbjerg, S.; Noory, N.; Heinskou, T.B.; Forman, J.L.; Cruccu, G.; Ashina, M.; Bendtsen, L. Safety and efficacy of erenumab in patients with trigeminal neuralgia in Denmark: A double-blind, randomised, placebo-controlled, proof-of-concept study. Lancet Neurol. 2022, 21, 994–1003. [Google Scholar] [CrossRef]
- Kang, S.A.; Govindarajan, R. Anti-calcitonin gene-related peptide monoclonal antibodies for neuropathic pain in patients with migraine headache. Muscle Nerve 2021, 63, 563–567. [Google Scholar] [CrossRef]
- Guo, T.Z.; Wei, T.; Shi, X.; Li, W.W.; Hou, S.; Wang, L.; Tsujikawa, K.; Rice, K.C.; Cheng, K.; Clark, D.J.; et al. Neuropeptide deficient mice have attenuated nociceptive, vascular, and inflammatory changes in a tibia fracture model of complex regional pain syndrome. Mol. Pain. 2012, 8, 85. [Google Scholar] [CrossRef]
- Shi, X.; Wang, L.; Li, X.; Sahbaie, P.; Kingery, W.S.; Clark, J.D. Neuropeptides contribute to peripheral nociceptive sensitization by regulating interleukin-1β production in keratinocytes. Anesth. Analg. 2011, 113, 175–183. [Google Scholar] [CrossRef]
- Birklein, F.; Schmelz, M.; Schifter, S.; Weber, M. The important role of neuropeptides in complex regional pain syndrome. Neurology 2001, 57, 2179–2184. [Google Scholar] [CrossRef]
- Weber, M.; Birklein, F.; Neundörfer, B.; Schmelz, M. Facilitated neurogenic inflammation in complex regional pain syndrome. Pain 2001, 91, 251–257. [Google Scholar] [CrossRef] [PubMed]
- Blair, S.J.; Chinthagada, M.; Hoppenstehdt, D.; Kijowski, R.; Fareed, J. Role of neuropeptides in pathogenesis of reflex sympathetic dystrophy. Acta Orthop. Belg. 1998, 64, 448–451. [Google Scholar] [PubMed]
- Chan, A.W.; Tetzlaff, J.M.; Altman, D.G.; Laupacis, A.; Gøtzsche, P.C.; Krleža-Jerić, K.; Hróbjartsson, A.; Mann, H.; Dickersin, K.; Berlin, J.A.; et al. SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials. Ann. Intern. Med. 2013, 158, 200–207. [Google Scholar] [CrossRef] [PubMed]
- Chan, A.-W.; Tetzlaff, J.M.; Gøtzsche, P.C.; Altman, D.G.; Mann, H.; Berlin, J.A.; Dickersin, K.; Hróbjartsson, A.; Schulz, K.F.; Parulekar, W.R.; et al. SPIRIT 2013 explanation and elaboration: Guidance for protocols of clinical trials. BMJ Br. Med. J. 2013, 346, e7586. [Google Scholar] [CrossRef]
- Harden, N.R.; Bruehl, S.; Perez, R.; Birklein, F.; Marinus, J.; Maihofner, C.; Lubenow, T.; Buvanendran, A.; Mackey, S.; Graciosa, J.; et al. Validation of proposed diagnostic criteria (the “Budapest Criteria”) for Complex Regional Pain Syndrome. Pain 2010, 150, 268–274. [Google Scholar] [CrossRef]
- Harris, P.A.; Taylor, R.; Thielke, R.; Payne, J.; Gonzalez, N.; Conde, J.G. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009, 42, 377–381. [Google Scholar] [CrossRef]
- Harris, P.A.; Taylor, R.; Minor, B.L.; Elliott, V.; Fernandez, M.; O’Neal, L.; McLeod, L.; Delacqua, G.; Delacqua, F.; Kirby, J.; et al. The REDCap consortium: Building an international community of software platform partners. J. Biomed. Inform. 2019, 95, 103208. [Google Scholar] [CrossRef]
- Rasmussen, V.F.; Karlsson, P.; Drummond, P.D.; Schaldemose, E.L.; Terkelsen, A.J.; Jensen, T.S.; Knudsen, L.F. Bilaterally Reduced Intraepidermal Nerve Fiber Density in Unilateral CRPS-I. Pain. Med. 2018, 19, 2021–2030. [Google Scholar] [CrossRef]
- Gylfadottir, S.S.; Itani, M.; Kristensen, A.G.; Tankisi, H.; Jensen, T.S.; Sindrup, S.H.; Bennett, D.L.H.; Nyengaard, J.R.; Finnerup, N.B.; Karlsson, P. Analysis of Macrophages and Peptidergic Fibers in the Skin of Patients With Painful Diabetic Polyneuropathy. Neurol. Neuroimmunol. Neuroinflamm. 2022, 9, e1111. [Google Scholar] [CrossRef]
- Rolke, R.; Magerl, W.; Campbell, K.A.; Schalber, C.; Caspari, S.; Birklein, F.; Treede, R.D. Quantitative sensory testing: A comprehensive protocol for clinical trials. Eur. J. Pain. 2006, 10, 77–88. [Google Scholar] [CrossRef] [PubMed]
- Grieve, S.; Perez, R.; Birklein, F.; Brunner, F.; Bruehl, S.; Harden, R.N.; Packham, T.; Gobeil, F.; Haigh, R.; Holly, J.; et al. Recommendations for a first Core Outcome Measurement set for complex regional PAin syndrome Clinical sTudies (COMPACT). Pain 2017, 158, 1083–1090. [Google Scholar] [CrossRef]
- Breivik, E.K.; Björnsson, G.A.; Skovlund, E. A comparison of pain rating scales by sampling from clinical trial data. Clin. J. Pain. 2000, 16, 22–28. [Google Scholar] [CrossRef] [PubMed]
- Ferreira-Valente, M.A.; Pais-Ribeiro, J.L.; Jensen, M.P. Validity of four pain intensity rating scales. Pain 2011, 152, 2399–2404. [Google Scholar] [CrossRef] [PubMed]
- Farrar, J.T.; Young, J.P., Jr.; LaMoreaux, L.; Werth, J.L.; Poole, M.R. Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain 2001, 94, 149–158. [Google Scholar] [CrossRef]
- Harden, N.R.; Bruehl, S.; Perez, R.; Birklein, F.; Marinus, J.; Maihofner, C.; Lubenow, T.; Buvanendran, A.; Mackey, S.; Graciosa, J.; et al. Development of a severity score for CRPS. Pain 2010, 151, 870–876. [Google Scholar] [CrossRef]
- Harden, R.N.; Maihofner, C.; Abousaad, E.; Vatine, J.J.; Kirsling, A.; Perez, R.; Kuroda, M.; Brunner, F.; Stanton-Hicks, M.; Marinus, J.; et al. A prospective, multisite, international validation of the Complex Regional Pain Syndrome Severity Score. Pain 2017, 158, 1430–1436. [Google Scholar] [CrossRef] [PubMed]
- Scott, W.; McCracken, L.M. Patients’ impression of change following treatment for chronic pain: Global, specific, a single dimension, or many? J. Pain 2015, 16, 518–526. [Google Scholar] [CrossRef]
- Vu, T.; Ma, P.; Chen, J.S.; de Hoon, J.; Van Hecken, A.; Yan, L.; Wu, L.S.; Hamilton, L.; Vargas, G. Pharmacokinetic-Pharmacodynamic Relationship of Erenumab (AMG 334) and Capsaicin-Induced Dermal Blood Flow in Healthy and Migraine Subjects. Pharm. Res. 2017, 34, 1784–1795. [Google Scholar] [CrossRef]
- Vermeersch, S.; Benschop, R.J.; Van Hecken, A.; Monteith, D.; Wroblewski, V.J.; Grayzel, D.; de Hoon, J.; Collins, E.C. Translational Pharmacodynamics of Calcitonin Gene-Related Peptide Monoclonal Antibody LY2951742 in a Capsaicin-Induced Dermal Blood Flow Model. J. Pharmacol. Exp. Ther. 2015, 354, 350–357. [Google Scholar] [CrossRef]
- Nicholas, M.K. The pain self-efficacy questionnaire: Taking pain into account. Eur. J. Pain 2007, 11, 153–163. [Google Scholar] [CrossRef]
- Sullivan, M.J.L.; Bishop, S.R.; Pivik, J. The Pain Catastrophizing Scale: Development and validation. Psychol. Assess. 1995, 7, 524–532. [Google Scholar] [CrossRef]
- Ikemoto, T.; Hayashi, K.; Shiro, Y.; Arai, Y.C.; Marcuzzi, A.; Costa, D.; Wrigley, P. A systematic review of cross-cultural validation of the pain catastrophizing scale. Eur. J. Pain. 2020, 24, 1228–1241. [Google Scholar] [CrossRef] [PubMed]
- Cella, D.; Yount, S.; Rothrock, N.; Gershon, R.; Cook, K.; Reeve, B.; Ader, D.; Fries, J.F.; Bruce, B.; Rose, M. The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap cooperative group during its first two years. Med. Care 2007, 45, S3–S11. [Google Scholar] [CrossRef]
- Cella, D.; Choi, S.W.; Condon, D.M.; Schalet, B.; Hays, R.D.; Rothrock, N.E.; Yount, S.; Cook, K.F.; Gershon, R.C.; Amtmann, D.; et al. PROMIS(®) Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains. Value Health 2019, 22, 537–544. [Google Scholar] [CrossRef] [PubMed]
- Pilkonis, P.A.; Choi, S.W.; Reise, S.P.; Stover, A.M.; Riley, W.T.; Cella, D. Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS®): Depression, anxiety, and anger. Assessment 2011, 18, 263–283. [Google Scholar] [CrossRef] [PubMed]
- Amtmann, D.; Cook, K.F.; Jensen, M.P.; Chen, W.H.; Choi, S.; Revicki, D.; Cella, D.; Rothrock, N.; Keefe, F.; Callahan, L.; et al. Development of a PROMIS item bank to measure pain interference. Pain 2010, 150, 173–182. [Google Scholar] [CrossRef]
- Lai, J.S.; Cella, D.; Choi, S.; Junghaenel, D.U.; Christodoulou, C.; Gershon, R.; Stone, A. How item banks and their application can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Arch. Phys. Med. Rehabil. 2011, 92, S20–S27. [Google Scholar] [CrossRef]
- Buysse, D.J.; Yu, L.; Moul, D.E.; Germain, A.; Stover, A.; Dodds, N.E.; Johnston, K.L.; Shablesky-Cade, M.A.; Pilkonis, P.A. Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep 2010, 33, 781–792. [Google Scholar] [CrossRef]
- Yu, L.; Buysse, D.J.; Germain, A.; Moul, D.E.; Stover, A.; Dodds, N.E.; Johnston, K.L.; Pilkonis, P.A. Development of short forms from the PROMIS™ sleep disturbance and Sleep-Related Impairment item banks. Behav. Sleep. Med. 2011, 10, 6–24. [Google Scholar] [CrossRef]
- Helme, R.D.; Finnerup, N.B.; Jensen, T.S. Hyperpathia: “to be or not to be: That is the question”. Pain 2018, 159, 1005–1009. [Google Scholar] [CrossRef] [PubMed]
- Nishimura, M.; Kato, T.; Onodera, S. Evaluation Methods for the Measurement of Lower Leg Edema in Healthy Young Adults. Yonago Acta Med. 2020, 63, 294–300. [Google Scholar] [CrossRef] [PubMed]
- Brijker, F.; Heijdra, Y.F.; Van Den Elshout, F.J.; Bosch, F.H.; Folgering, H.T. Volumetric measurements of peripheral oedema in clinical conditions. Clin. Physiol. 2000, 20, 56–61. [Google Scholar] [CrossRef] [PubMed]
- Burnham, R.S.; McKinley, R.S.; Vincent, D.D. Three types of skin-surface thermometers: A comparison of reliability, validity, and responsiveness. Am. J. Phys. Med. Rehabil. 2006, 85, 553–558. [Google Scholar] [CrossRef]
- Bouhassira, D.; Attal, N.; Fermanian, J.; Alchaar, H.; Gautron, M.; Masquelier, E.; Rostaing, S.; Lanteri-Minet, M.; Collin, E.; Grisart, J.; et al. Development and validation of the Neuropathic Pain Symptom Inventory. Pain 2004, 108, 248–257. [Google Scholar] [CrossRef]
- Ruscheweyh, R.; Verneuer, B.; Dany, K.; Marziniak, M.; Wolowski, A.; Çolak-Ekici, R.; Schulte, T.L.; Bullmann, V.; Grewe, S.; Gralow, I.; et al. Validation of the pain sensitivity questionnaire in chronic pain patients. Pain 2012, 153, 1210–1218. [Google Scholar] [CrossRef]
- Varenna, M.; Braga, V.; Gatti, D.; Iolascon, G.; Frediani, B.; Zucchi, F.; Crotti, C.; Nannipieri, F.; Rossini, M. Intramuscular neridronate for the treatment of complex regional pain syndrome type 1: A randomized, double-blind, placebo-controlled study. Ther. Adv. Musculoskelet. Dis. 2021, 13, 1759720X211014020. [Google Scholar] [CrossRef]
- Silberstein, S.D.; McAllister, P.; Ning, X.; Faulhaber, N.; Lang, N.; Yeung, P.; Schiemann, J.; Aycardi, E.; Cohen, J.M.; Janka, L.; et al. Safety and Tolerability of Fremanezumab for the Prevention of Migraine: A Pooled Analysis of Phases 2b and 3 Clinical Trials. Headache 2019, 59, 880–890. [Google Scholar] [CrossRef]
- Goadsby, P.J.; Silberstein, S.D.; Yeung, P.P.; Cohen, J.M.; Ning, X.; Yang, R.; Dodick, D.W. Long-term safety, tolerability, and efficacy of fremanezumab in migraine: A randomized study. Neurology 2020, 95, e2487–e2499. [Google Scholar] [CrossRef]
- International Committee of Medical Journal Editors. Recommendations for the Conduct, Reporting, Editing and Publication of Scholarly Work in Medical Journals. Available online: https://www.icmje.org/recommendations/ (accessed on 7 March 2025).
- Haghdoost, F.; Puledda, F.; Garcia-Azorin, D.; Huessler, E.-M.; Messina, R.; Pozo-Rosich, P. Evaluating the efficacy of CGRP mAbs and gepants for the preventive treatment of migraine: A systematic review and network meta-analysis of phase 3 randomised controlled trials. Cephalalgia 2023, 43, 03331024231159366. [Google Scholar] [CrossRef]
Study Period | |||||||
---|---|---|---|---|---|---|---|
Screening | Baseline | Allocation | Post-Allocation | Close Out | |||
Timepoint | |||||||
Week | −1 | 1 | 2 | 4 | 6 | 8 | |
Day | −7 (−7 to −30) | 1 | 14 (−4/+7) | 28 (−3/+7) | 42 (−4/+7) | 56 (−4/+7) | |
Event | Visit 1 | Visit 2 | Phone call | Visit 3 | Phone call | Visit 4 | |
Enrollment: | |||||||
Informed consent | X | ||||||
Eligibility screen | X | X | |||||
Demography | X | ||||||
Medical and medication histories | X | X | X | X | |||
Pain report training | X | ||||||
Physical examination | X | X | X | ||||
Pulse and blood pressure | X | X | X | X | |||
Pregnancy testing | X | ||||||
Randomization | X | ||||||
Concomitant medication use | X | X | X | X | X | X | |
Interventions: | |||||||
Fremanezumab | X | X | |||||
Placebo | X | X | |||||
Assessment: | |||||||
Pain diary | |||||||
Bedside sensory testing | X | X | X | ||||
Skin temperature | X | X | X | X | |||
Assessment of extremity edema | X | X | |||||
Skin biopsy | X | X | |||||
Blood samples | X | X | |||||
FR | X | X | |||||
QST | X | X | |||||
CSS | X | X | X | ||||
9HPT or TUG | X | X | |||||
Pain relief | X | X | |||||
PGIC | X | ||||||
PCS | X | X | |||||
NPSI | X | X | |||||
PROMIS | X | X | |||||
PSEQ | X | X | |||||
PSQ | X | X | |||||
Expectation of drug effect | X | ||||||
Adverse events | X | X | X | X | X * | ||
Assessment of blinding | X |
Inclusion Criteria | |
1. | Age between 18 and 75 years |
2. | Confirmed CRPS (type I or II) diagnosed according to the International Association for the Study of Pain (IASP) diagnostic criteria of CRPS (Budapest criteria), with adaptation to research [27] |
3. | Disease duration from 3 to 36 months |
4. | Mean ADP score of at least 4 on an 11-point NRS ranging from 0 to 10, where 0 is no pain, and 10 is the worst pain imaginable during the baseline week |
5. | Written informed consent |
Exclusion Criteria | |
1. | Other causes of pain and/or inflammation in the same area as CRPS or other concomitant pain/inflammation that cannot be distinguished from CRPS |
2. | Spreading of CRPS to other extremities according to IASP criteria for spreading of CRPS |
3. | Initiation of new medications within one month prior to inclusion, such as gabapentin, pregabalin and/or capsaicin (Qutenza), botulinum toxin type A, lidocaine patches (Versatis), TCAs or SNRIs, and corticosteroids prior to enrollment or for the duration of the randomized placebo-controlled phase of the study. Current and ongoing pain treatment will be allowed in stable doses (anticonvulsants, antidepressants, tramadol, paracetamol, and NSAIDs) |
4. | Poor compliance or patients who cannot cooperate to report pain diary |
5. | Unable to understand written and/or spoken Danish |
6. | Severe depression, other significant psychiatric diseases, alcohol, or drug abuse |
7. | Pregnancy or lactation |
8. | Women of child-bearing potential (defined as any woman or adolescent who has begun menstruation) unless they use an acceptable effective contraception measure during the study and at least 6 months after or their male partner is vasectomized and their sole partner |
9. | Known allergy to any component of fremanezumab |
10. | Planned surgery |
11. | Clinically significant and severe cardiovascular, cerebral, hepatic, or kidney disease |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Thiyagarajah, A.; Terkelsen, A.J.; Birklein, F.; Finnerup, N.B.; Gylfadottir, S.S. The Effect of Fremanezumab on Pain in Patients with Complex Regional Pain Syndrome: Study Protocol of a Randomized, Double-Blind, Proof-of-Concept, Placebo-Controlled Trial. Brain Sci. 2025, 15, 468. https://doi.org/10.3390/brainsci15050468
Thiyagarajah A, Terkelsen AJ, Birklein F, Finnerup NB, Gylfadottir SS. The Effect of Fremanezumab on Pain in Patients with Complex Regional Pain Syndrome: Study Protocol of a Randomized, Double-Blind, Proof-of-Concept, Placebo-Controlled Trial. Brain Sciences. 2025; 15(5):468. https://doi.org/10.3390/brainsci15050468
Chicago/Turabian StyleThiyagarajah, Abarajitha, Astrid Juhl Terkelsen, Frank Birklein, Nanna Brix Finnerup, and Sandra Sif Gylfadottir. 2025. "The Effect of Fremanezumab on Pain in Patients with Complex Regional Pain Syndrome: Study Protocol of a Randomized, Double-Blind, Proof-of-Concept, Placebo-Controlled Trial" Brain Sciences 15, no. 5: 468. https://doi.org/10.3390/brainsci15050468
APA StyleThiyagarajah, A., Terkelsen, A. J., Birklein, F., Finnerup, N. B., & Gylfadottir, S. S. (2025). The Effect of Fremanezumab on Pain in Patients with Complex Regional Pain Syndrome: Study Protocol of a Randomized, Double-Blind, Proof-of-Concept, Placebo-Controlled Trial. Brain Sciences, 15(5), 468. https://doi.org/10.3390/brainsci15050468