Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Mixed methods analysis of Health-Related Quality of Life in ambulant individuals affected with RYR1-related myopathies pre-post-N-acetylcysteine therapy

Abstract

Purpose

To characterize Health-Related Quality of Life (HRQoL) in ambulant individuals with RYR1-RM and to determine if a qualitative PRO tool (subjective self-assessment) complements PROMIS and Neuro-QoL scales to detect changes in HRQoL in ambulant individuals with RYR1-RM post N-acetylcysteine (NAC) treatment.

Methods

The study used a mixed methods research (MMR) design applying methodological triangulation. Qualitative data were collected via semi-structured interviews using open-ended questions. Quantitative data were gathered through PROMIS and Neuro-QoL instruments. Additionally, qualitative data were transformed into quantitative data for subjective self-assessment and frequency analyses.

Results

Qualitative results identified five domains and 33 subdomains as areas of interest. The most valuable were the importance of social impacts, the development of several coping strategies, both physical and psychological, and the identification of fatigue and weakness as key symptoms. Data transformation then categorized more than 3100 citations on frequency analyses, globally and by domain, visit, and participant. Regarding quantitative results, there was no clear evidence that any of the three PRO tools captured positive changes as a result of NAC treatment.

Conclusion

Qualitative results showed a comprehensive characterization of HRQoL in this population based on a symptom/patient-centered approach. These findings will inform future studies. Furthermore, given the similar findings across our multiple methods and endpoints, the introduction of MMR may be a valuable, complementary approach to clinical trials. MMR may be especially useful to incorporate in order to address and follow the FDA’s guidance and prioritization on the inclusion of affected individuals’ perspectives in clinical trials.

Introduction

In the era of precision medicine, the importance of patient-centered data is becoming increasingly recognized by regulators, clinicians, and the research community. Since the Food and Drug Administration’s (FDA’s) Guidance for Industry on Patient-Reported Outcome (PRO) Measures [1] and Patient-Focused Drug Development [2, 3], there has been a shift from traditional methods solely focused on clinical study goals to the incorporation of participant experience outcomes. Research methods are now including the patient perspective early in order to ensure (and validate) that any changes measured are meaningful to those patients [4]. PROs can provide important insights into disease symptoms or treatment side effects (e.g., pain, fatigue, or anxiety); functional outcomes (e.g., physical, social, emotional, etc.); and/or multidimensional assessment of the impact of both disease and treatment on physical, psychological, and social well-being, also known as Quality of Life (QoL) [5].

PROs can be used to generate both quantitative (e.g., questionnaires) and qualitative (e.g., interview, journals) data. Mixed methods research (MMR) employs quantitative and qualitative approaches to provide a more comprehensive understanding of findings. MMR has been proposed as a best practice to inform Patient-Centered Outcomes Measures in rare diseases where quantitative methods alone have found challenges [6]. Thus, MMR was employed during a combined natural history study and clinical trial of N-acetylcysteine (NAC) in Ryanodine 1-Related Myopathies (RYR1-RM) to facilitate an understanding of participants’ characterization of their condition and to identify any subjective improvements post-intervention. RYR1-RM comprise the most common of the non-dystrophic neuromuscular disorders with a pediatric incidence of > 1:90,000 in the United States, yet there are no FDA-approved treatments [7, 8].

Materials and methods

Standard protocol approvals, registrations, and patient consents

The RYR1 NAC clinical trial consisted of two components; a prospective natural history assessment and a parallel-group, randomized, double-blind, placebo-controlled trial. The study was conducted at the National Institutes of Health (NIH) Clinical Center, Bethesda, MD, USA between 2015 and 2017. The clinical trial is registered in the U.S. National Library of Medicine (NCT02362425). All procedures were approved by the NIH Combined Neuroscience Institutional Review Board (CNS IRB), and an Independent Monitoring Committee was established to oversee trial safety. All participants and parents of participants < 18 years of age provided written informed consent, according to the Declaration of Helsinki, before enrollment. Assent was also obtained for those < 18 years of age. Participants attended three study visits at the NIH: baseline (0 months), pre-intervention (6 months), and post-intervention (12 months). Participants also completed a follow-up phone call (18 months). Randomization was performed at the end of the second visit. For more information regarding the clinical trial, see the following publication [9].

Study design and procedures

Common RYR1-RM clinical manifestations include delayed motor milestones, hypotonia, scoliosis, ophthalmoplegia, respiratory insufficiency, myalgia and rhabdomyolysis, exertional heat stroke/myalgia, proximal/axial muscle weakness, and fatigue [10, 11]. Affected individuals reported fatigue as one of the more pervasive symptoms [12]. NAC was shown to improve measures of physical endurance and force production in a preclinical setting [13, 14]. Therefore, we performed a comparison of quantitative and qualitative PRO data to identify subjective improvements from NAC treatment (PharmaNAC®, BioAdvantex Pharma Inc., Toronto, Ontario, Canada). We used the National Institute of Nursing Research (NINR) Symptom Science Model [15] to guide the investigation of how patient-reported symptoms affect Health-Related Quality of Life (HRQoL) in RYR1-RM.

Our mixed method design uses methodological triangulation. In this design the qualitative and quantitative components are typically undertaken simultaneously and weighted equally, seeking convergence of findings to enhance the interpretability of a single phenomenon [16, 17]. Methodological triangulation is used to provide a complementary view from qualitative and quantitative approaches, balancing the strengths and weaknesses of both.

Qualitative data were collected via semi-structured interviews at each visit to characterize natural history of HRQoL in ambulant individuals with RYR1-RM prior to randomization and to analyze drug effects post-intervention. Thus, individual and collective viewpoints were addressed. The use of this design has been previously implemented in HRQoL and Neuromuscular Disorders (NMD) [18,19,20] research. One hundred-seven semi-structured interviews were conducted using open-ended questions (Table 1) (i.e., forty-six from baseline visit, thirty-four from pre-intervention, and twenty-seven from post-intervention). Semi-structured interviews were recorded and transcribed verbatim to conduct thematic analysis [19, 20] through a multiphase approach, open-coding and axial-coding [21]. As RYR1-RM are slowly progressive diseases, this was considered when analyzing HRQoL and treatment effects. Three researchers conducted qualitative analysis. All researchers codified an initial set of five semi-structured interviews to identify common areas of interest (domains/subdomains) and to assess agreement. Once agreement was confirmed, the remaining interviews were distributed among the researchers for analysis. A balanced number of interviews were provided to each researcher considering the following variables: males/females, adults/children, and pre-intervention/post-intervention. Three additional meetings were conducted to discuss the inclusion of new domains/subdomains until saturation was achieved [22]. Differences in coding were resolved through consensus and tighter definitions of subdomains [23]. Likewise, interpretation and selection of quotes for publication was also discussed to ensure agreement among researchers.

Table 1 Open-ended questions from semi-structured interviews

We transformed qualitative data into quantitative results, a standard procedure in mixed methods research, counting the number of times with which each domain/subdomain was mentioned in semi-structured interviews [19, 24, 25]. The average and percentage of citations was also calculated for each domain/subdomain. This procedure was performed globally (i.e., considering all data), by domain (i.e., analyzing every identified domain separately), by visit (i.e., considering the records for each visit independently), and by participant (i.e., evaluating data provided for each participant individually). When necessary, the percentage score was normalized to compare domains/subdomains. Additionally, a word frequency analysis was also completed. Results from that analysis were presented through a word cloud image [26]. Qualitative data were also used to evaluate treatment effects via subjective self-assessment. Because we were evaluating treatment-related improvements in this analysis, a binary score was assigned to participants based on their comments on post-intervention interviews (i.e., “positive effect” [+ 1] vs “no change” [0]). Disease progression was assessed during qualitative analysis, where only minor side effects were reported. Subjective self-assessment was provided by participants under 18 years of age and/or their parents, when necessary. Counts of positive and no change reports were compared between the two treatment groups (NAC vs. placebo) via Fisher’s exact test.

Finally, the Patient-Reported Outcomes Measurement Information System (PROMIS) [27] and Quality of Life in Neurological Disorders (Neuro-QoL) [28] scores were gathered. Twenty domains from PROMIS and Neuro-QoL were analyzed separately via t-test (i.e., anger, anxiety, depression, fatigue, mobility, pain, peer relations, social, and upper extremity for PROMIS; and anger, anxiety, applied cognition, depression, fatigue, mobility, pain, participate in SRA, social relations, stigma, and upper extremity for Neuro-QoL, respectively). For PROMIS and Neuro-QoL, the change in T-score between pre- and post-treatment was analyzed. T-score distributions rescale raw scores into standardized scores with a mean of 50 and a standard deviation (SD) of 10. More specifically, the change in T-score between Month 12 and Month 6 was calculated (Month 12 minus Month 6). Month 0 was used instead of Month 6 whenever Month 6 was missing. In some cases, the participant had both a self-report and a parent proxy PROMIS or Neuro-QoL T-score on the same domain. Also, Case 33 had two different PROMIS or Neuro-QoL T-scores on the same domain. In these cases, and within each specific domain, the average change was calculated and analyzed. To compare the treatment groups (NAC and placebo), a t-test on the T-score change was performed.

SAS version 9.4 software (SAS Institute Inc., Cary, NC) was used to conduct all statistical analysis and Nvivo version 12.3 software was used to perform qualitative and data transformation analyses.

Study goals

The primary goal of this study was to characterize HRQoL in ambulant individuals with RYR1-RM to support future research. Questionnaire data (i.e., T-scores generated by PROMIS and Neuro-QoL instruments) have shown limitations assessing rare diseases [6]. As a secondary goal, this study thus aimed to determine if open-ended data (gathered via subjective self-assessment interviews) captured additional information to detect changes to HRQoL in ambulant individuals with RYR1-RM post-NAC treatment.

Research questions and hypothesis

Q 1 :

What are the major concerns/issues regarding HRQoL in ambulant individuals affected with RYR1-RM?

Q 2 :

How do ambulant individuals with RYR1-RM describe the major concerns/issues affecting their HRQoL?

Our research hypothesis was that subjective self-assessment will capture additional information and complement PROMIS and Neuro-QoL instruments to detect changes in HRQoL in ambulant individuals with RYR1-RM when comparing the NAC and placebo groups.

Participants

One hundred-fifty individuals were screened for participation in this study, of which 53 were eligible and enrolled (Fig. 1). Of these, 47 participants completed at least one interview in which we were able to perform qualitative analysis. Only participants with complete data from all three tools (subjective self-assessment, PROMIS, and Neuro-QoL) were included in quantitative analysis to avoid potential confounding factors of varying data from different participants. Therefore, quantitative analysis included 26 participants—13 in each of NAC and placebo groups. Demographic information of participants is presented in Table 2.

Fig. 1
figure1

Consort diagram of study flow

Table 2 Participant demographic information

Results

Qualitative analysis

Five domains and 33 subdomains were identified as areas of interest in participants with RYR1-RM regarding their HRQoL. Quality of life domain comprised 11 subdomains (i.e., anxiety, career/financial impact, diagnostic journey, disease progression, frustration, general assessment, positive aspects, sadness, self-care/home maintenance, self-esteem, and social impacts); adaptive strategy contained six subdomains (i.e., accommodation, equipment, help from others, physical behaviors, physical therapy, and psychological strategy); symptoms covered 12 subdomains (i.e., compounding illness-conditions, fatigue, fine motor, heat intolerance, mobility, muscle spasms, numbness, pain, respiratory difficulties, rhabdomyolysis, scoliosis, and weakness); future thoughts comprised two subdomains (i.e., fears and treatment desires); and post-intervention included two subdomains (i.e., treatment benefits and side effects). The most representative domains/subdomains, by their importance and depth are provided in Table 3 to reveal participants’ experiences/opinions. In this table, researchers’ interpretations of participants’ interviews are labeled with domain and subdomain. Transcripts of participants’ comments are also included. A reference code noting de-identified case number, visit, researcher initials, and Nvivo transcript reference number follows each quote.

Table 3 Transcripts from the most representative domains/subdomains

Data transformation

More than 3100 citations were categorized. The results of the global analysis and analysis by domain are displayed in Fig. 2. Examples of results for analyses by visit and participant are available as Supplemental Data (Tables e-1 to e-3 and Fig. e-1).

Fig. 2
figure2

Data transformation results for global and domain analyses (N = 107). Total count (whole bar), average (A), global percentage for each domain (G), and domain percentage for each subdomain (D) are displayed. The percentages were normalized for the number of subdomains in each domain and given that post-intervention comments were only recorded on post-intervention interviews

Results from the word frequency analysis were summarized as a word cloud (Fig. 3).

Fig. 3
figure3

Word cloud summarizing word frequency analysis. Larger font sizes indicate a higher frequency of mentions; smaller font sizes a lower frequency

Post-intervention comments transformed into a binary value (positive effect or no change) revealed a higher frequency of subjective positive changes observed in the NAC group versus the placebo group (69% versus 38%) and a higher frequency of subjective no change observed in the placebo group versus the NAC group (62% versus 31%), but the p value from Fisher’s exact test (two-sided) was 0.24.

Quantitative analysis

Only three domains from the Neuro-QoL instrument, anxiety, stigma, and fatigue, showed some evidence of improvement in T-scores in the NAC group compared to placebo. The p values for these domains ranged between 0.014 and 0.034, whereas all other p values for the Neuro-QoL and PROMIS were above 0.05 (Table 4). These p values were not corrected for multiple analyses.

Table 4 Results from t-test for PROMIS and Neuro-QoL instruments (in order of lowest to highest p value)

Discussion

Based on our qualitative results, we were able to identify and characterize major HRQoL concerns/issues in ambulant individuals affected with RYR1-RM. The Quality of life domain was the most relevant for participants when discussing their HRQoL. The most emphasized subdomain was social impacts, depicting specific perceptions, limitations, and deficits of understanding due to the disease. For example, mildly-affected participants were widely accused of being “lazy” or “liars”, which is consistent with previous reports in qualitative research on NMD [29, 30]. This finding highlights the importance of establishing positive interactions to enhance HRQoL. General assessment and positive aspects also stood out as notable subdomains. Participants were very optimistic in their appraisals of their QoL as a result of internal acceptance, focus on improvement, encouraging experiences, and support of family and friends. This depicts a high level of resilience in facing their condition, which is a well-documented response to adversity in physical and mental health [31, 32]. The remaining subdomains, however, received moderate-to-little attention, highlighting that, globally, they were less important to participants than the previous subdomains. For example, negative experiences were linked to specific economic-work situations, unhappy moments, the progression of the disorder, daily care and domestic activities, annoyance reactions, difficulties in being diagnosed, and uneasy feelings. Most of these have been described in RYR1-RM [12, 33, 34] and other NMD [35, 36]. However, it is surprising that self-esteem was not explored in depth in participant interviews. This indicates very little effect on self-esteem, which is in contrast to previous research in individuals with NMD [37, 38]. It is also worth noting that contrary results regarding anxiety have been reported in the RYR1-RM population [12]. All subdomains for quality of life revealed connections with the other identified areas of interest, especially with adaptive strategy and symptoms. This observation is based on the close interaction between QoL and HRQoL concepts [39].

The second domain was adaptive strategy, which gave insight into several coping strategies employed by participants. Most of these fell into the subdomains of physical behaviors and psychological strategy, which described the approaches taken to address motor restrictions (e.g., limiting physical activities, increasing rest periods, using external support, etc.) and psychological implications (e.g., planning ahead, scheduling energy, remaining positive, etc.). Implications in both areas were also reported recently for individuals with RYR1-RM [12] and HRQoL research in NMD [24]. Accommodation, equipment and help from others attained similar emphasis, disclosing the need for additional assistance from institutions, tools, and people, respectively. These factors revealed a lack of independence for participants with RYR1-RM, which is a key aspect for the NMD population in general [20]. Surprisingly, physical therapy was scarcely mentioned by participants, with minor mentions of therapeutic and occupational interventions like horseback riding. We posit this is due to the relative normality of this type of therapy in this population. However, this could be also due to differences in access to physical therapy services. This issue should be explored in depth in future research. Every adaptive strategy was linked to the specific symptoms of each participant, indicating the strong relationship between both domains, as might be expected.

Another important domain was symptoms. The most influential subdomain was fatigue, followed by weakness. This is consistent with documented clinical effects of RYR1-RM [8, 11, 12, 33, 40,41,42,43,44]. Pain and impaired mobility were secondarily important in this study and were mainly described as consequences of fatigue and weakness. Likewise, there are several antecedents of pain and impaired mobility in affected individuals with RYR1-RM [8, 10, 12, 34, 43]. The remaining subdomains were less widely reported and included issues more specific to individuals such as additional complications, malignant hyperthermia experiences, respiratory issues, hand dexterity problems, and abnormal curvatures of the spine, aligning with manifestations of RYR1-RM [8, 11, 12, 33, 40, 42, 44,45,46]. Rhabdomyolysis was not described in depth. However, it is possible that participants reported rhabdomyolysis involvement within the weakness subdomain, as previous research notes the importance of this symptom for individuals with RYR1-RM [10, 45, 46]. Finally, muscle spasms and numbness were touched on but not elaborated, suggesting they are not paramount. Despite this, these symptoms have been previously reported [43, 46]. Every aspect of the symptoms domain displayed a high influence on other subdomains, reinforcing the whole construct and emphasizing the use of the Symptom Science Model [15].

The domain future thoughts captured feelings about events to come. The Fears subdomain contained concerns about potential issues, including limitations on activities, worsening symptoms, or genetic implications for children. Treatment desires, a subdomain consistent with recent qualitative data in NMD [35], was essentially focused on improving HRQoL as a result of increasing physical performance. These findings could be interpreted as a dualistic display (i.e., positive vs negative) of treatment expectations [47]. This domain was closely related to other identified domains/subdomains such as symptoms and disease progression, bolstering their identification as areas of interest.

Finally, the post-intervention domain captured individual impressions of treatment effect after the NAC/placebo intervention, addressing our research hypothesis regarding whether or not these data captured additional information complementing PROMIS and Neuro-QoL instruments to detect changes in HRQoL in ambulant individuals with RYR1-RM post-treatment. These reactions were categorized as positive or no change. Participants’ feedback revealed valuable treatment benefits, most of which were related to increased levels of energy and strength, which are consistent with preclinical effects of NAC on ryr1 mutant zebrafish and mice [13, 14]. However, results from our quantitative analysis of Neuro-QoL and PROMIS T-scores were inconclusive. Social and psychological profits were also reported [39]. Only minor side effects were noted, providing further evidence that NAC is safe and well tolerated in this population. As in previous subdomains, both options were directly connected to the specific symptoms of each participant, which indicates a straightforward relationship between both domains.

Regarding data transformation, analysis by domain exposed a clear imbalance in future thoughts and post-intervention domains, recording more quotes for treatment desires and treatment benefits subdomains. This highlighted that participants with RYR1-RM tended to show more positive attitudes towards their HRQoL in comparison to their family, caregivers, or external observers, which is known as the “disability paradox” [48]. The “disability paradox” has been noted in previous research on NMD [49, 50]. Quality of life, adaptive strategy, and symptoms domains were relatively balanced. However, social impacts, psychological strategy, and fatigue subdomains scored higher number of comments for each case. These findings are consistent with the qualitative data, reinforcing the results obtained via both approaches.

The word cloud revealed the presence of three main groups of terms “people, family, friends, school, person, others”; “fatigue, energy, weakness, myopathy, affected, symptoms”; and “quality, little, problem, better, harder, difficult, without, describe”. Those words reemphasize the importance of several domains/subdomains such as social impacts; symptoms and physical behaviors; and quality of life and adaptive strategy, respectively. These results also coincide with our previous findings from qualitative analysis.

Global analysis, involving transformed data, found balanced percentages of all identified domains, considering the number of subdomains in each case and that post-intervention comments were only reported on post-intervention interviews. This outcome differed slightly from qualitative data, where quality of life, adaptive strategy and symptoms were more relevant, and suggested a similar influence of all five domains in HRQoL for participants with RYR1-RM. This slight difference highlights the value of the mixed methods approach because it allows for a more nuanced understanding of the data. Future thoughts and symptoms recorded lower percentage of comments than the remaining domains, suggesting that participants were more focused on current issues than upcoming problems, and that it was easier for them to accept physical limitations associated with their condition than social or psychological implications. A similar situation has previously supported this idea in individuals with ALS [51]. These results are similar to previous frequency analysis in NMD [24].

The analysis by visit displayed similar percentages for each domain, which is consistent with our findings for global analysis. Taking into account the number of quotes per visit, baseline interviews included more comments. This observation suggests that participants were inclined to provide more information at the beginning of the study as it was their first visit/interview. Perhaps this was also due to positive expectations of the trial [47]. Normalized percentages per visit reported similar results, revealing that participants provided comparable information in each visit. Finally, results for data transformation analysis by participant resulted in a similar trend to the global analysis findings.

As previously stated, RYR1-RM are slowly progressive diseases, which makes it necessary to capture disease progression when considering effects of treatments and HRQoL. This issue was captured though the identification of the domain and subdomain of post-intervention and disease progression. Both concepts were analyzed in qualitative and data transformation analyses.

Three domains from Neuro-QoL showed some evidence of a difference between the NAC and placebo groups, fatigue, anxiety, and stigma. The p values for these domains ranged between 0.014 and 0.034, which do not reflect strong evidence of a difference given that 20 tests were performed. The sample size was small given the rare nature of the disease, and therefore the statistical power to detect differences was also small. Likewise, although there was a trend on the subjective self-assessment, suggesting a potential positive effect of NAC on participants with RYR1-RM, our sample size may be too small to produce strong evidence of a causal relationship between subjective self-assessment and NAC treatment. Thus, there was no clear evidence that any of the three tools captured positive changes as a result of NAC treatment on quantitative analysis. Interestingly, the results of our analyses of both subjective quantitative and qualitative/transformed data were similar to our findings from our primary endpoints in that NAC did not significantly improve any endpoints [9].

As mentioned, the main limitation in this study (for the transformed and quantitative analyses) was the sample size, which was small. Another major limitation was that all enrolled participants were ambulatory due to 6MWT being a primary endpoint, which meant that only mild-to-moderately affected individuals were enrolled.

Conclusion

Our qualitative analysis provides salient information on the major concerns/issues participants with RYR1-RM face and how they describe those concerns/issues affecting their HRQoL. We present a comprehensive characterization of HRQoL, in mild-to-moderately affected individuals, based on a symptom/patient-centered approach. These findings, especially the importance of social impacts, the development of several coping strategies, both physical and psychological, and the identification of fatigue and weakness as key symptoms, will inform future studies in this rare disease. However, at this dose, there was no clear evidence that NAC improved PRO scores for PROMIS or Neuro-QoL. Furthermore, although treatment benefits were mentioned by more (blinded) participants on NAC than placebo during qualitative interviews, once the qualitative data were transformed and quantified, evidence of a difference was not conclusive. Interestingly, these findings were similar to our primary endpoints and PRO results, in which 6MWT approached a clinically meaningful change, but no clear difference post-NAC treatment was identified in 6MWT or oxidative stress levels. Given the similar findings across our multiple methods and endpoints, the introduction of MMR, namely qualitative interviews and their data transformation, may be a valuable, complementary approach to clinical trials. Although this type of analysis requires a distinct skill set from many trial endpoints, MMR may be especially useful to incorporate in clinical studies in order to address and follow the FDA’s guidance and prioritization on the inclusion of affected individuals’ perspectives in clinical trials.

References

  1. 1.

    U.S. Food and Drug Administration. (2009). Guidance for industry patient-reported outcome measures: Use in medical product development to support labeling claims. Rockville, MD: U.S. Food and Drug Administration. https://doi.org/10.1111/j.1524-4733.2009.00609.x

  2. 2.

    U.S. Food and Drug Administration. (2018). Patient-focused drug development: Collecting comprehensive and representative input. Rockville, MD: U.S. Food and Drug Administration.

  3. 3.

    U.S. Food and Drug Administration. (2019). Patient-focused drug development: Methods to identify what is important to patients. Rockville, MD: U.S. Food and Drug Administration.

  4. 4.

    U.S. Food and Drug Administration. (2019). Rare diseases: Common issues in drug development. Guidance for industry. Rockville, MD: U.S. Food and Drug Administration. https://doi.org/10.1186/s13045-014-0070-8

  5. 5.

    Ferrans, C. E., & Powers, M. J. (1985). Quality of life index: Development and psychometric properties. Advances in Nursing Science,8(1), 15–24. https://doi.org/10.1097/00012272-198510000-00005.

  6. 6.

    Morel, T., & Cano, S. J. (2017). Measuring what matters to rare disease patients—Reflections on the work by the IRDiRC taskforce on patient-centered outcome measures. Orphanet Journal of Rare Diseases,12(1), 171. https://doi.org/10.1186/s13023-017-0718-x.

  7. 7.

    Amburgey, K., McNamara, N., Bennett, L. R., McCormick, M. E., Acsadi, G., & Dowling, J. J. (2011). Prevalence of congenital myopathies in a representative pediatric united states population. Annals of Neurology,70(4), 662–665. https://doi.org/10.1002/ana.22510.

  8. 8.

    Todd, J. J., Razaqyar, M. S., Witherspoon, J. W., Lawal, T. A., Mankodi, A., Chrismer, I. C., et al. (2018). Novel variants in individuals with RYR1-related congenital myopathies: Genetic, laboratory, and clinical findings. Frontiers in Neurology,9, 118. https://doi.org/10.3389/fneur.2018.00118.

  9. 9.

    Todd, J. J., Lawal, T. A., Witherspoon, J. W., Chrismer, I. C., Razaqyar, M. S., Punjabi, M., et al. (2019). A randomized controlled trial of N-acetylcysteine therapy for RYR1-related myopathies. Neurology, in press (under embargo).

  10. 10.

    Dlamini, N., Voermans, N. C., Lillis, S., Stewart, K., Kamsteeg, E.-J., Drost, G., et al. (2013). Mutations in RYR1 are a common cause of exertional myalgia and rhabdomyolysis. Neuromuscular Disorders,23(7), 540–548. https://doi.org/10.1016/j.nmd.2013.03.008.

  11. 11.

    Zhou, H., Jungbluth, H., Sewry, C. A., Feng, L., Bertini, E., Bushby, K., et al. (2007). Molecular mechanisms and phenotypic variation in RYR1-related congenital myopathies. Brain,130(8), 2024–2036. https://doi.org/10.1093/brain/awm096.

  12. 12.

    van Ruitenbeek, E., Custers, J. A. E., Verhaak, C., Snoeck, M., Erasmus, C. E., Kamsteeg, E. J., et al. (2019). Functional impairments, fatigue and quality of life in RYR1-related myopathies: A questionnaire study. Neuromuscular Disorders,29(1), 30–38. https://doi.org/10.1016/j.nmd.2018.10.006.

  13. 13.

    Dowling, J. J., Arbogast, S., Hur, J., Nelson, D. D., McEvoy, A., Waugh, T., et al. (2012). Oxidative stress and successful antioxidant treatment in models of RYR1-related myopathy. Brain,135(4), 1115–1127. https://doi.org/10.1093/brain/aws036.

  14. 14.

    Durham, W. J., Aracena-Parks, P., Long, C., Rossi, A. E., Goonasekera, S. A., Boncompagni, S., et al. (2008). RyR1 S-nitrosylation underlies environmental heat stroke and sudden death in Y522S RyR1 knockin mice. Cell,133(1), 53–65. https://doi.org/10.1016/j.cell.2008.02.042.

  15. 15.

    Cashion, A. K., & Grady, P. A. (2015). The National Institutes of Health/National Institutes of Nursing Research intramural research program and the development of the National Institutes of Health Symptom Science Model. Nursing Outlook,63(4), 484–487. https://doi.org/10.1016/j.outlook.2015.03.001.

  16. 16.

    Creswell, J. W., & Plano Clark, V. L. (2007). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage Publications.

  17. 17.

    Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989). Toward a conceptual framework for mixed-method evaluation designs. Educational Evaluation and Policy Analysis,11(3), 255–274. https://doi.org/10.3102/01623737011003255.

  18. 18.

    Geirdal, A. Ø., Lund-Petersen, I., & Heiberg, A. (2015). Understanding the experience of Myotonic Dystrophy. Mixed method study. Journal of Genetic Counseling,24(1), 169–178. https://doi.org/10.1007/s10897-014-9752-1.

  19. 19.

    Johnson, N. E., Luebbe, E., Eastwood, E., Chin, N., Moxley, R. T., & Heatwole, C. R. (2014). The impact of congenital and childhood myotonic dystrophy on quality of life: A qualitative study of associated symptoms. Journal of Child Neurology,29(7), 983–986. https://doi.org/10.1177/0883073813484804.

  20. 20.

    Vorster, N., Evans, K., Murphy, N., Kava, M., Cairns, A., Clarke, D., et al. (2019). Powered standing wheelchairs promote independence, health and community involvement in adolescents with Duchenne muscular dystrophy. Neuromuscular Disorders,29(3), 221–230. https://doi.org/10.1016/j.nmd.2019.01.010.

  21. 21.

    Flick, U. (2014). An introduction to qualitative research (5th ed.). Thousand Oaks, CA: Sage Publications.

  22. 22.

    Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., et al. (2018). Saturation in qualitative research: Exploring its conceptualization and operationalization. Quality & Quantity,52(4), 1893–1907. https://doi.org/10.1007/s11135-017-0574-8.

  23. 23.

    LaFaver, K., Miyasaki, J. M., Keran, C. M., Rheaume, C., Gulya, L., Levin, K. H., et al. (2018). Age and sex differences in burnout, career satisfaction, and well-being in US neurologists. Neurology,91(20), e1928–e1941. https://doi.org/10.1212/WNL.0000000000006497.

  24. 24.

    Johnson, N. E., Quinn, C., Eastwood, E., Tawil, R., & Heatwole, C. R. (2012). Patient-identified disease burden in facioscapulohumeral muscular dystrophy. Muscle & Nerve,46(6), 948–950. https://doi.org/10.1002/mus.23529.

  25. 25.

    Creswell, J. W. (2014). Research Design. Qualitative, quantitative and mixed methods approaches (4th ed.). London, UK: Sage Publications.

  26. 26.

    Miyasaki, J. M., Rheaume, C., Gulya, L., Ellenstein, A., Schwarz, H. B., Vidic, T. R., et al. (2017). Qualitative study of burnout, career satisfaction, and well-being among US neurologists in 2016. Neurology,89(16), 1730–1738. https://doi.org/10.1212/WNL.0000000000004526.

  27. 27.

    Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology,63(11), 1179–1194. https://doi.org/10.1016/j.jclinepi.2010.04.011.

  28. 28.

    Cella, D., Nowinski, C., Peterman, A., Victorson, D., Miller, D., Lai, J.-S., et al. (2011). The neurology quality-of-life measurement initiative. Archives of Physical Medicine and Rehabilitation,92(10), S28–S36. https://doi.org/10.1016/j.apmr.2011.01.025.

  29. 29.

    Abel, E. E. D. H., Cup, E. H. C., Lanser, A., Leclercq, W. K. G., Raaphorst, J., Padberg, G. W., et al. (2018). Experiences with bariatric surgery in patients with facioscapulohumeral dystrophy and myotonic dystrophy type 1: A qualitative study. Neuromuscular Disorders,28(11), 938–946. https://doi.org/10.1016/j.nmd.2018.09.003.

  30. 30.

    Chen, Y. T., Shih, F. J., Hayter, M., Hou, C. C., & Yeh, J. H. (2013). Experiences of living with myasthenia gravis: A qualitative study with taiwanese people. Journal of Neuroscience Nursing,45(2), E3–E10. https://doi.org/10.1097/JNN.0b013e31828291a6.

  31. 31.

    Davydov, D. M., Stewart, R., Ritchie, K., & Chaudieu, I. (2010). Resilience and mental health. Clinical Psychology Review,30(5), 479–495. https://doi.org/10.1016/j.cpr.2010.03.003.

  32. 32.

    Steptoe, A., Dockray, S., & Wardle, J. (2009). Positive affect and psychobiological processes relevant to health. Journal of Personality,77(6), 1747–1776. https://doi.org/10.1111/j.1467-6494.2009.00599.x.

  33. 33.

    Jungbluth, H., Zhou, H., Hartley, L., Halliger-Keller, B., Messina, S., Longman, C., et al. (2005). Minicore myopathy with ophthalmoplegia caused by mutations in the ryanodine receptor type 1 gene. Neurology,65(12), 1930–1935. https://doi.org/10.1212/01.wnl.0000188870.37076.f2.

  34. 34.

    Klein, A., Jungbluth, H., Clement, E., Lillis, S., Abbs, S., Munot, P., et al. (2011). Muscle magnetic resonance imaging in congenital myopathies due to ryanodine receptor type 1 gene mutations. Archives of Neurology,68(9), 1171–1179. https://doi.org/10.1001/archneurol.2011.188.

  35. 35.

    Hagerman, K. A., Howe, S. J., & Heatwole, C. E. (2019). The myotonic dystrophy experience: A North American cross-sectional study. Muscle & Nerve,59(4), 457–464. https://doi.org/10.1002/mus.26420.

  36. 36.

    Winter, Y., Schepelmann, K., Spottke, A. E., Claus, D., Grothe, C., Schröder, R., et al. (2010). Health-Related Quality of Life in ALS, myasthenia gravis and facioscapulohumeral muscular dystrophy. Journal of Neurology,257(9), 1473–1481. https://doi.org/10.1007/s00415-010-5549-9.

  37. 37.

    Bray, P., Bundy, A. C., Ryan, M. M., & North, K. N. (2010). Feasibility of a computerized method to measure quality of “everyday” life in children with neuromuscular disorders. Physical & Occupational Therapy In Pediatrics,30(1), 43–53. https://doi.org/10.3109/01942630903294687.

  38. 38.

    Miladi, N., Bourguignon, J.-P., & Hentati, F. (1999). Cognitive and psychological profile of a Tunisian population of limb girdle muscular dystrophy. Neuromuscular Disorders,9(5), 352–354. https://doi.org/10.1016/S0960-8966(99)00006-1.

  39. 39.

    Karimi, M., & Brazier, J. (2016). Health, Health-Related Quality of Life, and quality of life: What is the difference? PharmacoEconomics,34(7), 645–649. https://doi.org/10.1007/s40273-016-0389-9.

  40. 40.

    Witting, N., Werlauff, U., Duno, M., & Vissing, J. (2017). Phenotypes, genotypes, and prevalence of congenital myopathies older than 5 years in Denmark. Neurology Genetics,3(2), e140. https://doi.org/10.1212/NXG.0000000000000140.

  41. 41.

    Dowling, J. J., Lillis, S., Amburgey, K., Zhou, H., Al-Sarraj, S., Buk, S. J. A., et al. (2011). King-Denborough syndrome with and without mutations in the skeletal muscle ryanodine receptor (RYR1) gene. Neuromuscular Disorders,21(6), 420–427. https://doi.org/10.1016/j.nmd.2011.03.006.

  42. 42.

    Jungbluth, H., Müller, C. R., Halliger-Keller, B., Brockington, M., Brown, S. C., Feng, L., et al. (2002). Autosomal recessive inheritance of RYR1 mutations in a congenital myopathy with cores. Neurology,59(2), 284–287. https://doi.org/10.1212/WNL.59.2.284.

  43. 43.

    Matthews, E., Neuwirth, C., Jaffer, F., Scalco, R. S., Fialho, D., Parton, M., et al. (2018). Atypical periodic paralysis and myalgia. Neurology,90(5), e412–e418. https://doi.org/10.1212/WNL.0000000000004894.

  44. 44.

    Scacheri, P. C., Hoffman, E. P., Fratkin, J. D., Semino-Mora, C., Senchak, A., Davis, M. R., et al. (2000). A novel ryanodine receptor gene mutation causing both cores and rods in congenital myopathy. Neurology,55(11), 1689–1696. https://doi.org/10.1212/WNL.55.11.1689.

  45. 45.

    Capacchione, J. F., Sambuughin, N., Bina, S., Mulligan, L. P., Lawson, T. D., & Muldoon, S. M. (2010). Exertional rhabdomyolysis and malignant hyperthermia in a patient with ryanodine receptor type 1 gene, L-type calcium channel α-1 subunit gene, and calsequestrin-1 gene polymorphisms. Anesthesiology,112(1), 239–244. https://doi.org/10.1097/ALN.0b013e3181c29504.

  46. 46.

    Davis, M., Brown, R., Dickson, A., Horton, H., James, D., Laing, N., et al. (2002). Malignant hyperthermia associated with exercise-induced rhabdomyolysis or congenital abnormalities and a novel RYR1 mutation in New Zealand and Australian pedigrees. British Journal of Anaesthesia,88(4), 508–515. https://doi.org/10.1093/bja/88.4.508.

  47. 47.

    Bingel, U., Wanigasekera, V., Wiech, K., Ni Mhuircheartaigh, R., Lee, M. C., Ploner, M., et al. (2011). The effect of treatment expectation on drug efficacy: Imaging the analgesic benefit of the opioid Remifentanil. Science Translational Medicine,3(70), 70ra14. https://doi.org/10.1126/scitranslmed.3001244.

  48. 48.

    Albrecht, G. L., & Devlieger, P. J. (1999). The disability paradox: High quality of life against all odds. Social Science & Medicine,48(8), 977–988. https://doi.org/10.1016/S0277-9536(98)00411-0.

  49. 49.

    de Oliveira, C. M., & de Araújo, A. P. Q. C. (2011). Self-reported quality of life has no correlation with functional status in children and adolescents with spinal muscular atrophy. European Journal of Paediatric Neurology,15(1), 36–39. https://doi.org/10.1016/j.ejpn.2010.07.003.

  50. 50.

    Landfeldt, E., Lindgren, P., Bell, C. F., Guglieri, M., Straub, V., Lochmüller, H., et al. (2016). Health-Related Quality of Life in patients with Duchenne muscular dystrophy: A multinational, cross-sectional study. Developmental Medicine & Child Neurology,58(5), 508–515. https://doi.org/10.1111/dmcn.12938.

  51. 51.

    Simmons, Z., Bremer, B. A., Robbins, R. A., Walsh, S. M., & Fischer, S. (2000). Quality of life in ALS depends on factors other than strength and physical function. Neurology,55(3), 388–392. https://doi.org/10.1212/WNL.55.3.388.

Download references

Acknowledgements

The authors would like to thank all study participants for their sacrifice and commitment to be in this study. We also appreciate the support provided during the study by Ms. Karez Hawkins, Ms. Monique O. Shelton, and Dr. Joshua J. Todd (Neuromuscular Symptoms Unit, National Institute of Nursing Research, National Institutes of Health). We would like to thank Dr. Paule V. Joseph (Sensory Science and Metabolism Unit, National Institute of Nursing Research, National Institutes of Health) and Dr. Joan K. Austin (Department of Environments for Health, School of Nursing, Indiana University-Purdue University Indianapolis) for reviewing the manuscript. Also, we acknowledge the RYR1 Foundation for assistance with recruitment for this study.

Funding

This study was funded by the Intramural Programs of the National Institute of Nursing Research, National Institute of Neurological Disorders and Stroke, the National Institutes of Health Clinical Center, and Bench to Bedside Award (10-2013/Office of Rare Disease/NINR).

Author information

Study conception and design: Dr. KGM; Acquisition of data: Ms. ICC, Ms. MSR, Mr. JSE, Ms. AK, and Dr. KGM; Analysis and interpretation of the data: Dr. CC-P, Ms. MMC, Ms. ICC, Dr. PGW, and Dr. KGM; Drafting the manuscript: Dr. CC-P, Ms. MMC, Dr. ME-B, Dr. PGW, and Dr. KGM; Revising the manuscript for intellectual content: Dr. CC-P, Ms. MMC, Ms. ICC, Dr. ME-B, Ms. MSR, Mr. JSE, Ms. AK, Dr. PGW, and Dr. KGM.

Correspondence to Carlos Capella-Peris.

Ethics declarations

Conflict of interest

Dr. Carlos Capella-Peris, Ms. Mary M. Cosgrove, Ms. Irene C. Chrismer, Dr. Magalie Emile-Backer, Ms. M. Sonia Razaqyar, Mr. Jeffrey S. Elliott, Ms. Anna Kuo, and Dr. Paul G. Wakim have no conflicts of interest. Dr. Katherine G. Meilleur has received support from the RYR-1 Foundation, and an NIH Clinical Center Bench to Bedside Award (10-2013/Office of Rare Disease/NINR).

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Capella-Peris, C., Cosgrove, M.M., Chrismer, I.C. et al. Mixed methods analysis of Health-Related Quality of Life in ambulant individuals affected with RYR1-related myopathies pre-post-N-acetylcysteine therapy. Qual Life Res (2020). https://doi.org/10.1007/s11136-020-02428-2

Download citation

Keywords

  • Neuromuscular disorders
  • Natural history study
  • Clinical trial
  • Health-Related Quality of Life
  • Mixed methods