Literature DB >> 29053898

Chronic pain has a strong impact on quality of life in facioscapulohumeral muscular dystrophy.

Germán Morís1, Libby Wood1, Roberto FernáNdez-Torrón1,2,3,4, José Andrés González Coraspe1, Chris Turner5, David Hilton-Jones6, Fiona Norwood7, Tracey Willis8, Matt Parton5, Mark Rogers9, Simon Hammans10, Mark Roberts11, Elizabeth Househam12, Maggie Williams13, Hanns Lochmüller1, Teresinha Evangelista1.   

Abstract

INTRODUCTION: Earlier small case series and clinical observations reported on chronic pain playing an important role in facioscapulohumeral dystrophy (FSHD). The aim of this study was to determine the characteristics and impact of pain on quality of life (QoL) in patients with FSHD.
METHODS: We analyzed patient reported outcome measures collected through the U.K. FSHD Patient Registry.
RESULTS: Of 398 patients, 88.6% reported pain at the time of study. The most frequent locations were shoulders and lower back. A total of 203 participants reported chronic pain, 30.4% of them as severe. The overall disease impact on QoL was significantly higher in patients with early onset and long disease duration. Chronic pain had a negative impact on all Individualised Neuromuscular Quality of Life Questionnaire domains and overall disease score. DISCUSSION: Our study shows that pain in FSHD type 1 (FSHD1) is frequent and strongly impacts on QoL, similar to other chronic, painful disorders. Management of pain should be considered when treating FSHD1 patients. Muscle Nerve 57: 380-387, 2018.
© 2017 The Authors Muscle & Nerve Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  INQoL; facioscapulohumeral dystrophy; pain; patient registry; patient reported outcome measures; quality of life

Mesh:

Year:  2017        PMID: 29053898      PMCID: PMC5836962          DOI: 10.1002/mus.25991

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


facioscapulohumeral muscular dystrophy facioscapulohumeral muscular dystrophy type 1 Individualised Neuromuscular Quality of Life Questionnaire interquartile range John Walton Muscular Dystrophy Research Centre nonsteroidal anti‐inflammatory drugs quality of life patient reported outcome measures Short Form of the McGill Pain Questionnaire structural maintenance of chromosomes flexible hinge domain containing 1 Facioscapulohumeral muscular dystrophy (FSHD) is the second most common muscle condition in adults, with an overall incidence of 1:20,000.1, 2 FSHD is an autosomal dominant and genetically heterogeneous disorder; in 95% of patients (FSHD1), it is associated with the loss of part of a D4Z4 repeated sequence in chromosome 4q35. In 5% of patients (FSHD2), mutations in the structural maintenance of chromosomes flexible hinge domain containing 1 (SMCHD1) gene are found. The D4Z4 methylation status changes in FSHD and the D4Z4 hypomethylation leads to chromatin relaxation of D4Z4 and expression of DUX4.3 FSHD symptoms usually start around the second decade and are most commonly characterized by asymmetric weakness affecting the face, shoulder, and arms, followed by the distal lower extremities and pelvic girdle. Not all patients have the complete phenotype of FSHD, and clinical severity varies widely among patients, including great variability of weakness within families. Chronic pain is a significant problem in different neuromuscular conditions,4, 5 such as limb‐girdle muscular dystrophy 1C, myotonic dystrophies, and FSHD6, 7; in some cases, pain may even be the first disease manifestation.8, 9 Reports about pain in FSHD‐phenotype patients predate the development of genetic testing. Recent studies have suggested that pain may be present in the majority of FSHD patients, ranging from 76% to more than 80% of the FSHD population, with 19% reporting severe pain.5, 10, 11, 12, 13, 14, 15, 16 In some cases, FSHD patients reported severe, difficult to control, multifocal muscle pain as the most disabling aspect of their condition.9 Even so, pain is often undertreated. Some studies have shown that pain in FSHD negatively impacts quality of life (QoL) and increases disease burden.13, 15 However, the data available is scarce, often not FSHD‐specific and usually clinician‐reported. The studies address small heterogeneous cohorts that include other neuromuscular disorders.5, 10 Moreover, epidemiology, etiology, pathophysiology, and management of pain have not yet been addressed, nor has the interaction between pain and its impact on QoL. The aim of the study was to determine the frequency, localization, and intensity of pain in the FSHD1 population registered in the U.K. FSHD registry; and to evaluate the influence of pain, age, sex, disease duration, and ambulatory status on QoL.

MATERIALS AND METHODS

Patients and Setting

We have analyzed data obtained from the U.K. FSHD Patient Registry that is curated from the John Walton Muscular Dystrophy Research Centre (JWMDRC) at Newcastle University (https://www.fshd-registry.org/uk/participants/questionnaires/index.en.html). The Registry started in May 2013. A cutoff point for data analysis was established in February 2017. This patient driven registry17 is based on the recommendations reported at the 171st European Neuromuscular Centre workshop on the care and management of FSHD.18 In addition to these items, several patient reported outcome measures (PROM) on pain and QoL and were added after consultation with the patient community about their own research priorities. The registry has received full ethical (Newcastle and North Tyneside 113/NE/0048, February 2013), management (Newcastle upon Tyne Hospitals Trust R&D 6573, February 2013), and data protection (Caldicott February 2013) approvals.

Measures

Pain

The Short Form of the McGill Pain Questionnaire (SFMPQ) was used to report pain. The SFMPQ is widely used, well‐validated, and reliable and has previously been used in FSHD1.19 The SFMPQ consists of 15 descriptors (11 sensory and 4 affective) which are rated on an intensity scale as 0 = none, 1 = mild, 2 = moderate or 3 = severe, with higher scores representing more pain. Sensory (ranging from 0 to 33), affective (ranging from 0 to 12), and total pain scores (ranging from 0 to 45) and Present Pain Intensity Index (ranging from 0 to 5) were analyzed. An FSHD specific PROM, named universal pain assessment tool, developed by the multi‐disciplinary team at JWMDRC was also used. The universal pain assessment tool is in the process of validation and it includes sections on pain intensity, current pain and chronic pain, and in addition questions regarding medication and other nonpharmacological therapies (sections of the universal pain assessment tool used in this study are shown in Supplementary Table S1, which is available online). For the purpose of the study, “current pain” was defined as any pain experienced in the last 7 days and “chronic pain” as any persistent pain experienced for at least 12 weeks within a year in the last 5 years. The universal pain assessment tool clearly provided the time definition of current and chronic pain according to study pain definitions. To analyze pain intensity, the pain was considered to be severe when reported as horrible or excruciating.

Individualized Neuromuscular Quality of Life Questionnaire

Patients completed the Individualised Neuromuscular Quality of Life Questionnaire (INQoL), a widely used and well‐validated neuromuscular disease specific measure of QoL.20, 21 The final score for each section and total INQoL score is presented as a percentage of the maximum detrimental impact where 100 is the greatest impact on QoL.

Data Analysis

Location and dispersion indexes of noncontinuous variables were used to describe the sample with median and interquartile range (IR). Categorical variables were described as percentages. All statistics discussed here are presented as percentages of the total patient answers and not as percentages of the whole cohort unless otherwise stated. For comparison between groups, Chi‐square tests, Mann‐Whitney U test, and Kruskal‐Wallis test were used, as appropriate. Correlations were calculated using nonparametric Spearman's coefficient. To evaluate influence of age, age of onset, disease duration, gender, D4Z4 repeat, SFMPQ total score, and chronic pain on INQoL we performed a multivariate linear regression. Differences were considered significant at P < 0.05, and all statistical tests were two tailed. All data were analyzed with IBM SPSS Statistics 22.

RESULTS

Clinical Data

Four hundred and two genetically confirmed FSHD1 patients were included in this study. Figure 1 shows the progress of participants included. In total, 398 patients have been included for further analysis. All patients are followed‐up by neurologists with experience in neuromuscular disorders to ensure the FSHD1 diagnosis. Of these 398 UK genetically confirmed FSHD1 patients, 383 (96.2%) answered the SFMPQ, 367 (92.2%) and 365 (91.7%) answered current and chronic pain questions in the universal pain assessment tool, respectively, and 340 (85.4%) provided answers to INQoL.
Figure 1

Flow diagram of the progress of participants included in the U.K. FSHD Patient Registry and the number of patients excluded.

Flow diagram of the progress of participants included in the U.K. FSHD Patient Registry and the number of patients excluded. The median age of the entire cohort was 47.0 (interquartile range: 60.6) years. Demographic data is presented in Table 1. In 6 patients, the size of the p13E‐11 EcoRI fragments was > 39 kb (3 patients had 39 kb, and 3 patients had 40, 41, and 45 kb, respectively); although, they have neither SMCHD1 test nor methylation studies. These 6 patients were included in the study because all reported symptoms and the treating neuromuscular specialist confirmed clinical features consistent with FSHD. There was no EcoRI fragment information in 45 of the cases.
Table 1

Demographic data and frequency of pain

TotalMalesFemales
Epidemiological
Gender398197 (49.6%)201 (50.4 %)
Age (years)*47.0 (60.6)48.0 (25.0)46.0 (25.0)
Age onset (years)a 17.0 (21.2)19.0 (22.0)b 13.5 (22.5)b
Disease duration (years)a 26.0 (27.0)24.0 (22.5)27.5 (30.7)
Genetic test (D4Z4 repeat kb)a 25.0 (10.0)25.0 (10.0)24.0 (11.3)
Motor function, total (%)
Ambulatory‐unassisted193 (49.4%)91 (47.4%)102 (51.3%)
Ambulatory‐assisted145 (37.1%)78 (40.6%)67 (33.7%)
Non‐ambulatory53 (13.6%)23 (12.0%)30 (15.1%)
Wheelchair use, total (%)
No use244 (62.2%)125 (65.1%)119 (59.5%)
Part‐time94 (24.0%)44 (22.9%)50 (25.0%)
Full‐time54 (13.8%)23 (12.0%)31 (15.5%)
SF‐MPQ
Presence of pain Total (%)339 (85.2 %)164 (83.2%)175 (87.1%)
Sensory Scorea 5.0 (9.0)3.0 (9.0)c 6.0 (9.0)c
Affective Scorea 1.0 (3.0)1.0 (3.0)2.0 (4.0)
Total scorea 6.0 (12.5)5.0 (11.5)7.0 (12.5)
Present Pain Intensity Indexa 1.0 (2.0)1.0a (2.0)1.0 (1.0)
Chronic pain
Chronic pain Total (%)203 (55.6%)92 (50.3%)c 111 (61.0%)c
Severe chronic pain Total (%)69 (30.4%)29 (26.6%)40 (33.9%)

Expressed in median and interquartile range.

P < 0.01.

P < 0.05.

Demographic data and frequency of pain Expressed in median and interquartile range. P < 0.01. P < 0.05.

Pain

Of those completing the SFMPQ, 339 patients (88.5%) reported experiencing pain to some degree. The sensory score in females was significantly higher (P < 0.05) than in males (Table 1). Three hundred and twenty‐five (88.6%) participants reported experiencing current pain. Figure 2 shows the percentage of patients that reported the highest levels of pain and the pain severity in different locations. The severe lower back pain was reported more frequently in females (33 patients; 17.7%) than in males (14 patients; 11.2%) with statistical significance (P < 0.05). No significant differences were observed regarding current pain localization across EcoRI fragments size, age of onset or motor function as showed in Table 2. Of the 365 responders, 203 (55.6%) people reported experiencing chronic pain, 69 patients (30.4%) reported this pain as severe. The chronic pain was more frequently reported in females (111 patients; 61.0%) than in males (92 patients, 50.3%) (P < 0.05). The most common location of chronic pain was the shoulder joint in 165 patients (45%). No association was seen between chronic pain and EcoRI fragments size, age of onset, or motor function.
Figure 2

Description of the localization and the severity of the current pain in each localization expressed in percentage. aPercentage of patients suffering current pain in each localization. bPercentage of patients suffering severe current pain (pain rated as horrible or excruciating) in each localization.

Table 2

Characteristics of pain in different sub‐groups of FSHD1 patients

TotalSF‐MPQa Severe current pain localizations Total (%)Chronic pain Total (%)
Total pain scoreShoulderLower backPresence chronic painSevere chronic pain
Age of onset (years)
0‐9 1077.0 (9.0)13 (17.8%)19 (24.1 %)62 (64.6 %)23 (34.8%)
10‐19 1047.5 (13.0)14 (20.9%)11 (16.7%)53 (54.6%)19 (33.3%)
20‐39 996.0 (13.0)16 (23.5%)11 (16.7%)55 (58.5%)22 (34.4%)
 > 40 565.0 (7.7)7 (17.1%)5 (13.5%)27 (50.0%)4 (13.3%)
Disease duration (years)
0‐19 1386.0 (12.0)22 (22.7%)13 (15.1%)75 (56.4%)22 (26.5%)
20‐39 1309.0 (13.0)19 (20.2%)22 (22.9%)70 (57.4%)30 (38.5%)
 > 40 9812.0 (12.0)9 (15.5%)11 (16.7%)52 (60.5%)16 (28.6%)
Fragment size, total
 ≤ 18 Kb825.0 (14.0)6 (13.6 %)14 (25.9 %)38 (54.3 %)14 (33.3%)
 > 18 Kb2716.0 (8.0)39 (20.5%)28 (15.5%)144 (56.9%)46 (28.9%)
Motor function
Ambulatory‐unassisted1936.0 (10.0)b 17 (15.5%)24 (18.9%)95 (51.1%)29 (27.4% )
Ambulatory‐assisted1459.0 (13.0)b 27 (24.1%)24 (22.9%)83 (60.6%)34 (37.4%)
Non‐ambulatory536.0 (11.0)b 3 (8.1%)3 (9.7%)28 (58.3%)6 (20.0%)

Expressed in median and interquartile range.

P < 0.05.

Description of the localization and the severity of the current pain in each localization expressed in percentage. aPercentage of patients suffering current pain in each localization. bPercentage of patients suffering severe current pain (pain rated as horrible or excruciating) in each localization. Characteristics of pain in different sub‐groups of FSHD1 patients Expressed in median and interquartile range. P < 0.05.

Therapies

Medication to manage pain was taken by 367 (92.2%) patients. When specified, nonsteroidal anti‐inflammatory drugs (NSAIDs) were the most frequent drugs used followed by opioids as described in Figure 3. Less than half of patients (162 patients, 46.2%) have used physiotherapy to help with pain management; a dramatic reduction in pain was reported by 4.4% (7 patients). Sixty‐two patients (38.8%) reported some reduction in pain, and 80 (50.0%) reported no reduction. Eleven patients (6.9%) experienced an increase in their pain after physiotherapy. We did not find any statistical difference in response to physiotherapy between any groups studied. In this survey, 370 patients (93%) reported using nonpharmacologic therapies to help manage pain (Fig. 4).
Figure 3

Most frequently pharmacological groups used to manage pain.

Figure 4

Most frequently nonpharmacologic interventions used to manage pain.

Most frequently pharmacological groups used to manage pain. Most frequently nonpharmacologic interventions used to manage pain.

Quality of Life

The median overall INQoL score was 53.1 (IR: 34.3) suggesting relatively moderate sickness‐related dysfunction in this group of FSHD1 patients. The sub‐domains with the highest median scores, indicating the greatest impact on QoL were muscle weakness, body image, and activities. The least impact on QoL is in the areas of muscle locking and relationships. The weakness score in males was significantly higher than in females (P < 0.01). No other domain was affected by gender (Table 3). A higher total INQol score is seen in patients with a shorter EcoRI fragment (P < 0.05). The overall INQol increases with statistical significance with younger age of onset (rho = ‐0.22) and longer disease duration (rho = +0.23) (P < 0.05).
Table 3

INQoL subscale scores and overall score comparisons between genders, and absence or presence of chronic pain

INQoLGenderChronic pain
TotalMalesFemalesNoYes
Weakness score63.2 (26.4)73.7 (36.8)a 68.4 (47.4)a 57.9 (47.4)a 79.0 (31.6)a
Locking score10.5 (22.4)10.5 (10.5)10.5 (13.2)10.5 (0.0)a 10.5 (26.3)a
Pain score44.7 (31.6)31.6 (52.6)36.8 (47.4)10.5 (15.8)a 63.2 (42.2)a
Fatigue score50.0 (34.2)47.4 (52.6)47.4 (52.6)26.3 (42.1)a 68.4 (43.4)a
Activities score57.4 (58.6)52.8 (43.1)53.2 (54.9)37.0 (38.5)a 67.6 (37.3)a
Independence score50.0 (64.6)34.7 (53.5)33.3 (55.6)25.0 (35.4)a 55.6 (50.2)a
Relationship score20.4 (16.7)20.4 (28.7)18.5 (35.6)13.0 (21.3)a 30.6 (37.1)a
Feelings score54.2 (56.2)38.9 (42.4)41.7 (39.6)27.8 (33.3)a 50.0 (40.3)a
Body image score59.7 (51.4)55.6 (52.8)58.3 (55.6)41.7 (50.0)a 61.1 (50.0)a
QoL Score53.1 (34.3)52.2 (30.0)51.1 (36.3)41.1 (30.4)a 60.6 (29.5)a

Values are expressed in median and interquartile range.

P < 0.01.

INQoL subscale scores and overall score comparisons between genders, and absence or presence of chronic pain Values are expressed in median and interquartile range. P < 0.01. The pain INQoL score is higher in ambulant populations (P < 0.01).SFMPQ sensory, affective, and total pain scores correlated with INQoL pain score (rho = +0.79, rho = + 0.68, rho = + 0.80, respectively, P < 0.01), and INQoL total score (rho = +0.48, rho = + 0.50, rho = + 0.51, respectively, P < 0.01). On the other hand, the presence of severe pain in the shoulders, severe lower back pain, chronic pain, and severe chronic pain correlated with the INQoL pain score (rho = +0.54, rho = + 0.46, rho = + 0.67, rho = +0.44, respectively, P < 0.01), and the INQoL total score (rho = +0.32, rho = + 0.29, rho = + 0.38, rho = +0.29, respectively, P < 0.01). Multiple regression analysis showed that longer disease duration was related to greater deterioration on INQol; interestingly, the total SFMPQ score and presence of chronic pain was also directly related to an increase in total INQoL scores as showed in Table 4.
Table 4

Association of INQol index with demographic, genetic, and pain presence

INQoL index
Univariate analysis (P)Multivariate analysis (beta, P)
Age0.338NI
Age of onset0.001‐0.057, 0.323
Disease duration0.001 + 0.173, 0.003
Gender0.529NI
D4Z4 repeat0.062NI
SF‐MPQ total score0.001 + 0.400, 0.001
Chronic pain0.001+0.128, 0.029
Adjusted R2: 0.284

NI, not included in the multivariate analysis since it was non‐significant in univariate analysis.

Association of INQol index with demographic, genetic, and pain presence NI, not included in the multivariate analysis since it was non‐significant in univariate analysis.

DISCUSSION

This study demonstrates that pain is highly prevalent in FSHD1. Our data are consistent with previous studies carried out in smaller mixed disease cohorts, and supports the conclusion that pain is a common complaint in patients with FSHD1, similar to or possibly worse than in other neuromuscular conditions, even though a direct comparative study was not conducted.5, 14 Furthermore, pain is reported in a higher percentage in our cohort that would be expected in the general population, where is ranges from 10% to 55%.22, 23 The frequency and intensity of pain reported in our population are similar to what has been reported previously in osteoarthritis or rheumatoid arthritis.24, 25 Chronic pain is a substantial problem in FSHD1 and needs to be tackled in a holistic way with exercise/physiotherapy, psychosocial intervention and tailored pharmacological treatment. Gender influences FSHD1 clinical expression. Males are characterized by a lower age at onset of motor impairment and by a more severe disability.26 However, our data shows that female FSHD1 patients experience pain more frequently than males, suggesting that clinical impairment is not the only underlying factor leading to pain in FSHD1 patients. Although commonly reported, the mechanisms behind gender differences in pain perception are unknown; biopsychosocial mechanisms, influence of sex hormones or endogenous opioid function have all been proposed.27, 28, 29 Further research is required to explore if there is any specific mechanism in FSHD1 contributing to gender difference in pain.30 Pain was reported most frequently in the shoulders and lower back. These localizations are consistent with the findings of previous studies.10 We hypothesize that the degree of pain in these two locations may be exacerbated by the fact that the muscles in this region are amongst the weakest muscle groups in FSHD1. The abnormal posture, with forward shoulders and exaggerated lumbar lordosis as a consequence of the weakness, may be a cause of pain. Lumbosacral spine movements and kinetics are essential to normal movement; therefore, lower back pain might negatively impact on the patients' ability to stand or walk. This type of pain could be partially due to the asymmetrical, multifocal pattern of muscle involvement that in itself affects movement, generating a circle of pain, muscle atrophy, and functional impairment. Muscular involvement of the hands is less common in FSHD131; therefore, it is unsurprising that this was an area where pain was less frequently reported. These findings and the possible correlation of pain with the areas of greater weakness suggest an interesting area for future study. The development of specific strategies to improve strength, flexibility, and endurance in the areas most affected by pain, could lead to an improvement in the patient's mobility as well as QoL. FSHD1 is an inheritable muscular condition with a progressive clinical course; therefore, we would expect to see an association between chronic pain and disease duration. No correlation was seen between chronic pain and current age, age of onset or disease duration. We may speculate that the causes of pain in different age groups and in patients with different disease duration times may be attributed to different causes with inflammatory mechanisms and muscle pain probably being more important in the early stages of disease and mechanical problems associated with asymmetrical muscle atrophy and weakness being the cause for pain later in the natural history of the disease. These aspects need to be considered in future studies to achieve an optimal management of pain. Chronic pain and the severity of it were not significantly correlated with the D4Z4 fragment size or motor function; therefore, our data did not confirm the relationship between genetic pattern, patient ambulatory state, and chronic pain. Conversely, when considering “current pain” both with the SFMPQ and the universal pain assessment tool, patients who had no mobility limitations had a tendency to report less pain, as previously reported10; but in terms of chronic pain, the frequency of pain is similar in ambulatory and nonambulatory patients. This controversial data warrant further studies to carefully assess the presence of different type of pain in FSHD1 patients. More than 90% of the patients reported taking medication, the most common treatments were NSAIDs and opioids, used more frequently than in previous studies. Physiotherapy was used to control pain in half of the patients together with other interventions. Although physiotherapy was reported as beneficial by some patients, a small percentage reported an exacerbation of the symptoms after the treatment; whether this worsening is due to lack of access to specialist physiotherapy for neuromuscular diseases should be assessed. It is necessary to identify whether there is a subgroup of FSHD1 patients who may get worse with physiotherapy to improve the therapeutic approach to these patients. On the other hand, worsening of the pain due to disease progression may be incorrectly attributed to therapy by some patients. Our data confirm that there is no consistent management of pain in FSHD1 and that current methods are not adequately relieving pain. Evaluating the patient's response to individual treatment is warranted to develop optimal pain therapy regimens in FSHD1 patients. We have estimated QoL in this cohort using INQoL. There are difficulties for assessing QoL in neuromuscular diseases; therefore, there are few comprehensive studies available. In general, it is reported that QoL in patients with neuromuscular diseases is low.7, 14, 32, 33 INQoL has been highly rated in terms of its conceptual and measurement model, reliability, validity, and administrative burden in neuromuscular diseases.20 INQoL provides an overall score along with results in different domains. It should be noted that INQoL was not designed specifically for FSHD patients and, therefore, is limited as a true measure of QoL for FSHD. Specifically, INQoL includes questions regarding muscle locking, which has no relevance to this population. In our population, the INQoL domains having the biggest impact were muscle weakness, activities, and body image. The domain least affected, apart from muscle locking, was relationships. Our study has shown that patients perceive a deterioration in QoL with the progression of the disease; the younger the age of onset and the longer the disease duration, the higher the patients' perception of disability. Moreover, the perception of lower QoL was also related to lower EcoRI fragment sizes. These results suggest a relationship between genetic pattern, clinical severity, and perception of QoL. The analysis of our data shows that chronic pain has a major negative impact on the QoL in FSHD1 consistent with the literature.13, 15 Future research should focus on the identification of the features of pain with the greatest impact on QoL. This may support the development of effective treatments. In this study, all the questionnaires were patient reported17 without input from clinicians. This gives information about how patients perceive pain and QoL. PROM are an extraordinarily useful tool, favored by regulatory agencies, for monitoring the impact of care on patient well‐being and Qol.34 There are limitations to patient‐reported data and the element of self‐selection to the registry should not be ignored. An important limitation of the current study is the lack of information on physical examination/strength measures; more severely clinically affected individuals may be more likely to experience shoulder and back pain. The patient population may represent the most engaged and active patients who may not be representative of the entire FSHD1 population; however, our data are in line with previously published studies. Furthermore, our study could be improved through the inclusion of longitudinal data, assessing changes in pain and QoL over time. Finally, one of the pain questionnaires (universal pain assessment tool) has not yet been validated; however, there was a good correlation with the well‐validated SFMPQ. In answering the universal pain assessment tool, it is important to clarify that patients have to recognize the pain as a result of their FSHD, and that it may be difficult to differentiate this pain from other types of pain. In conclusion, pain is a frequent symptom in FSHD1 that negatively impacts QoL. Studies have demonstrated that pain in FSHD1 is an inherent feature of the condition that requires further investigations to understand the pathophysiology, to study the relation with disease severity and functional disability. Additional supporting information may be found in the online version of this article. Supporting Information Table S1 Click here for additional data file.
  34 in total

1.  Asymptomatic carriers and gender differences in facioscapulohumeral muscular dystrophy (FSHD).

Authors:  M M O Tonini; M R Passos-Bueno; A Cerqueira; S R Matioli; R Pavanello; M Zatz
Journal:  Neuromuscul Disord       Date:  2004-01       Impact factor: 4.296

Review 2.  Facioscapulohumeral Dystrophy.

Authors:  Leo H Wang; Rabi Tawil
Journal:  Curr Neurol Neurosci Rep       Date:  2016-07       Impact factor: 5.081

3.  Muscle pain as a prominent feature of facioscapulohumeral muscular dystrophy (FSHD): four illustrative case reports.

Authors:  K M Bushby; C Pollitt; M A Johnson; M T Rogers; P F Chinnery
Journal:  Neuromuscul Disord       Date:  1998-12       Impact factor: 4.296

Review 4.  Sex differences in pain: a brief review of clinical and experimental findings.

Authors:  E J Bartley; R B Fillingim
Journal:  Br J Anaesth       Date:  2013-07       Impact factor: 9.166

5.  Montreal Accord on Patient-Reported Outcomes (PROs) use series - Paper 6: creating national initiatives to support development and use-the PROMIS example.

Authors:  Susan J Bartlett; James Witter; David Cella; Sara Ahmed
Journal:  J Clin Epidemiol       Date:  2017-04-20       Impact factor: 6.437

6.  Quality of life in patients with myotonic dystrophy type 2.

Authors:  Vidosava Rakocevic Stojanovic; Stojan Peric; Teodora Paunic; Jovan Pesovic; Milorad Vujnic; Marina Peric; Ana Nikolic; Dragana Lavrnic; Dusanka Savic Pavicevic
Journal:  J Neurol Sci       Date:  2016-04-16       Impact factor: 3.181

7.  Design, set-up and utility of the UK facioscapulohumeral muscular dystrophy patient registry.

Authors:  Teresinha Evangelista; Libby Wood; Roberto Fernandez-Torron; Maggie Williams; Debbie Smith; Peter Lunt; Judith Hudson; Fiona Norwood; Richard Orrell; Tracey Willis; David Hilton-Jones; Karen Rafferty; Michela Guglieri; Hanns Lochmüller
Journal:  J Neurol       Date:  2016-05-09       Impact factor: 4.849

8.  Effects of training and albuterol on pain and fatigue in facioscapulohumeral muscular dystrophy.

Authors:  E L van der Kooi; J S Kalkman; E Lindeman; J C M Hendriks; B G M van Engelen; G Bleijenberg; G W Padberg
Journal:  J Neurol       Date:  2007-03-14       Impact factor: 4.849

9.  Measuring quality of life impairment in skeletal muscle channelopathies.

Authors:  V A Sansone; C Ricci; M Montanari; G Apolone; M Rose; G Meola
Journal:  Eur J Neurol       Date:  2012-05-19       Impact factor: 6.089

10.  Large scale genotype-phenotype analyses indicate that novel prognostic tools are required for families with facioscapulohumeral muscular dystrophy.

Authors:  Giulia Ricci; Isabella Scionti; Francesco Sera; Monica Govi; Roberto D'Amico; Ilaria Frambolli; Fabiano Mele; Massimiliano Filosto; Liliana Vercelli; Lucia Ruggiero; Angela Berardinelli; Corrado Angelini; Giovanni Antonini; Elisabetta Bucci; Michelangelo Cao; Jessica Daolio; Antonio Di Muzio; Rita Di Leo; Giuliana Galluzzi; Elisabetta Iannaccone; Lorenzo Maggi; Valerio Maruotti; Maurizio Moggio; Tiziana Mongini; Lucia Morandi; Ana Nikolic; Ebe Pastorello; Enzo Ricci; Carmelo Rodolico; Lucio Santoro; Maura Servida; Gabriele Siciliano; Giuliano Tomelleri; Rossella Tupler
Journal:  Brain       Date:  2013-09-11       Impact factor: 13.501

View more
  9 in total

Review 1.  Facioscapulohumeral Muscular Dystrophy: Update on Pathogenesis and Future Treatments.

Authors:  Johanna Hamel; Rabi Tawil
Journal:  Neurotherapeutics       Date:  2018-10       Impact factor: 7.620

2.  Patient-Reported Symptoms in Facioscapulohumeral Muscular Dystrophy (PRISM-FSHD).

Authors:  Johanna Hamel; Nicholas Johnson; Rabi Tawil; William B Martens; Nuran Dilek; Michael P McDermott; Chad Heatwole
Journal:  Neurology       Date:  2019-08-13       Impact factor: 9.910

3.  Frequency of reported pain in adult males with muscular dystrophy.

Authors:  Matthew F Jacques; Rachel C Stockley; Emma I Bostock; Jonathon Smith; Christian G DeGoede; Christopher I Morse
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

Review 4.  Facioscapulohumeral muscular dystrophy: genetics, gene activation and downstream signalling with regard to recent therapeutic approaches: an update.

Authors:  Teresa Schätzl; Lars Kaiser; Hans-Peter Deigner
Journal:  Orphanet J Rare Dis       Date:  2021-03-12       Impact factor: 4.123

5.  Pain in adult myotonic dystrophy type 1: relation to function and gender.

Authors:  Gro Solbakken; Sissel Løseth; Anne Froholdt; Torunn D Eikeland; Terje Nærland; Jan C Frich; Espen Dietrichs; Kristin Ørstavik
Journal:  BMC Neurol       Date:  2021-03-04       Impact factor: 2.474

6.  Prevalence of Pain within Limb Girdle Muscular Dystrophy R9 and Implications for Other Degenerative Diseases.

Authors:  Mark Richardson; Anna Mayhew; Robert Muni-Lofra; Lindsay B Murphy; Volker Straub
Journal:  J Clin Med       Date:  2021-11-25       Impact factor: 4.241

7.  Objective and subjective measures of sleep in men with Muscular Dystrophy.

Authors:  Christopher I Morse; Gladys Onambele-Pearson; Bryn Edwards; Sze Choong Wong; Matthew F Jacques
Journal:  PLoS One       Date:  2022-09-22       Impact factor: 3.752

8.  Reduced specific force in patients with mild and severe facioscapulohumeral muscular dystrophy.

Authors:  Saskia Lassche; Nicol C Voermans; Tim Schreuder; Arend Heerschap; Benno Küsters; Coen Ac Ottenheijm; Maria Te Hopman; Baziel Gm van Engelen
Journal:  Muscle Nerve       Date:  2020-10-15       Impact factor: 3.217

9.  The socioeconomic burden of facioscapulohumeral muscular dystrophy.

Authors:  Anna M Blokhuis; Johanna C W Deenen; Nicol C Voermans; Baziel G M van Engelen; Wietske Kievit; Jan T Groothuis
Journal:  J Neurol       Date:  2021-05-27       Impact factor: 4.849

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.