Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2020 Oct 8;15(10):e0240416. doi: 10.1371/journal.pone.0240416

The impact of functional medicine on patient-reported outcomes in inflammatory arthritis: A retrospective study

Nicole Droz 1, Patrick Hanaway 2, Mark Hyman 2, Yuxuan Jin 3, Michelle Beidelschies 2, M Elaine Husni 1,*
Editor: Mahmoud Abu-Shakra4
PMCID: PMC7544031  PMID: 33031458

Abstract

Background

Despite treatment advances for inflammatory arthritis, a significant amount of patients fail to achieve remission. Other modifiable factors such as diet, physical activity and environmental exposures may be an important area of focus to help patients achieve disease remission and greater overall health. Functional medicine focuses on these lifestyle factors and may be an important adjunctive therapy. In this study, we examined the impact of functional medicine on patient-reported outcomes in patients with inflammatory arthritis.

Materials and methods

In this 12-week, retrospective study, patients with confirmed diagnoses of rheumatoid arthritis (RA) or psoriatic arthritis (PsA) were treated according to guidelines from the American College of Rheumatology for RA or PSA respectively. Those in the functional medicine group underwent a functional medicine program adjunctive to the standard of care. Patient reported outcomes, such as PROMIS (Patient Reported Outcomes Measurement Information System) global physical health, mental health and pain scores were collected at baseline and 12 weeks. Multivariable statistical modeling was used to identify the impact of functional medicine on patient-reported outcomes.

Results

318 patients were screened and 54 patients (mean age 52.9±11.3 years, females 74(67.9%)), were included. Baseline characteristics were similar in both patient groups with the exception of PROMIS global physical health and pain (PROMIS global physical health score 43·2 ± 6·6 and 39·7 ± 8·7 and pain scores of 3·5 ± 1·9 and 5·2 ± 2·7 in the functional medicine group vs. standard of care group respectively). Using multivariable model to account for these differences, patients in the functional medicine group had a statistically significant reduction in pain (0.92, p-value = 0.007) and change in PROMIS physical health score (2·84, p-value = 0.001) as compared to the standard of care. Changes in PROMIS global mental health scores were also significant and were dependent on age and were greatest in those older than 55.

Limitations

Retrospective design, baseline difference in patient reported outcomes.

Conclusions

Functional medicine may have an important role as adjunctive therapy to improve patients’ pain, physical and mental health in those who do not see improvement with conventional therapy alone.

Introduction

Rheumatoid and psoriatic arthritis are chronic, multisystem, inflammatory disorders associated with significant morbidity. In the United States, arthritis of all causes remains the leading cause of disability accounting for more than 35% of total disability [1]. The treatment landscape has changed dramatically over the past decade. The addition of biologic and non-biologic DMARDs (disease modifying anti rheumatic drugs) for the treatment of inflammatory arthritis has greatly improved patient outcomes; however, patients frequently do not achieve clinical remission of their disease [2]. There is still no cure for RA or PsA and these chronic diseases can take a toll over the patient’s lifetime.

In addition to the traditional physician-assessed disease activity, patient reported outcomes can be critical to assess a patient’s overall health. A patient global assessment (PtGA) of disease is often a limiting factor in achieving ACR/EULAR remission [2, 3]. Disease activity and functional status assessments currently utilized in patient care fail to address all treatment outcomes that are important to patients (such as fatigue, mental health, pain, and quality of life) [4]. These outcomes drive PtGA and represent important areas of focus to achieve overall remission and well-being in a greater proportion of patients [5].

The pathogenesis of inflammatory arthritis is complex and influenced by genetic and environmental factors. In patients with inflammatory arthritis, the immune response is dysregulated, leading to a state of chronic inflammation. Diet, physical activity, microbiome dysbiosis, and environmental exposures are just a few factors that have been implicated in driving chronic systemic inflammation, contributing to disease activity in inflammatory arthritis [6]. Since there are many potentially modifiable lifestyle factors that may affect patients with RA and PsA, improving health behaviors and lifestyle interventions could have benefits beyond traditional DMARD therapies.

The functional medicine model of care expands upon the conventional medicine model of care by addressing underlying causes, symptoms and functional imbalances associated with various biological functions. To remedy imbalances, functional medicine uses food as a first line therapy to prevent, treat and reverse chronic disease [7]. It provides an individualized, patient-centered model of care that organizes a patient’s signs and symptoms along with their lifestyle, environmental, and genetic factors to identify underlying drivers of their chronic disease [7]. Specifically for patients with inflammatory arthritis, the initial approach includes a detailed medical history including birth history, antibiotic use, environmental exposures, digestive history, infection history, and initial testing derived from the medical history including nutrient status, gluten antibodies, microbiome analysis, toxin exposure, and hidden infections as indicated by the history and clinical presentation. The practitioners treat patients using nutrition as an adjunctive to first-line therapy focusing on an anti-inflammatory, low glycemic index, nutrient-dense food plan that encourages the consumption of fresh, bright-colored vegetables, low glycemic index fruits, and non-processed foods. Dietary supplements are commonly used to balance nutritional deficiencies, as well as utilizing plant-based anti-oxidants, anti-inflammatory herbs, and prebiotics/ probiotics to modify the gut microbiome. Functional medicine also provides patients with a multi-disciplinary team of caregivers including a practitioner, registered dietitian and health coach to help them with lifestyle modification and behavior change, in order to reach their health goals.

Because the functional medicine model focuses on modifying multiple elements that drive chronic inflammation, we evaluated whether a functional medicine approach as an adjunct to standard therapy may improve symptoms of pain, psychological distress, and decreased functional capacity in patients with PsA and RA, outcomes critical to the PtGA and achieving disease remission.

Materials and methods

Study design and patients

In this retrospective, single center study, we evaluated the change in Patient Reported Outcomes Measurement Information System (PROMIS®) global physical health, PROMIS global mental health, and pain scores in patients who underwent a functional medicine program (n = 54) adjunctive to the standard of care as compared to patients who received standard of care alone (n = 55). The study protocol was reviewed and approved by the Institutional Review Board at the Cleveland Clinic Foundation (IRB#17–237). Patients aged 18 and older who were seen as a new patient in the Cleveland Clinic Center for Functional Medicine between August 2016 and January 2018 were screened for inclusion into the study by diagnosis code for RA(ICD 9: 714·0; ICD 10: M06·9) or PsA(ICD 9: 696·0; ICD10: L40·50). Patients were eligible for inclusion if they had documentation by a board certified rheumatologist at our institution confirming their diagnosis of RA or PsA and were on stable doses of prednisone and DMARD therapy throughout the study period. Patients were compared to controls seen only in the Rheumatology Department during the same time period. Patients in the standard of care group were matched to the functional medicine group based on similarity in baseline characteristics, such as age, sex, smoking status, and disease seropositivity, if applicable.

All patients received standard of care for RA and PsA and followed treatment regimens outlined by their treating rheumatologist. Treatments followed standard guidelines as defined by the American College of Rheumatology [8, 9].

The functional medicine diagnostic and treatment approach to RA and PsA focused on improving nutrition and digestive function, removing damaging environmental exposures, and providing longitudinal coaching support by way of a multi-disciplinary team of caregivers. All patients were instructed to follow an anti-inflammatory elimination diet (specifically no processed foods, sugar, gluten and dairy) based on a majority of whole, low glycemic index foods, good fats (MUFA’s and omega 3 fats), fiber and phytonutrients. Nutrient levels were optimized and guided by laboratory results such as vitamin D or omega 3 fatty acids. If patients had altered intestinal permeability, assessed through stool tests or antibodies to lipopolysaccharide. In addition, patients with elevated levels of heavy metals such as mercury or lead (measured in whole blood or urine) would be treated to remove heavy metals. Patients saw a physician or advanced practitioner, registered dietitian and health coach as part of the initial visit and afterwards for ongoing support and to make adjustments to the program based on patient response and laboratory evaluations.

PROMIS global physical and mental health, and pain scores were collected at baseline and after 12 weeks of enrollment using CAT (computer assisted technology) questionnaires.

Data collection

Data was collected by retrospective chart review and was stored in a RedCap database.

Patient-reported outcomes

The outcomes of the study were 12 weeks to baseline changes in pain and PROMIS global physical and mental health scores. PROMIS is a set of validated patient-centered measures, developed by the National Institute of Health, that evaluate and monitor physical, mental and social health. This patient self-administered questionnaire was created to be relevant across all conditions for assessment of functionality, symptoms, behaviors and feelings [10]. In particular, this study utilized the PROMIS Scale v1·2- Global Health measure at baseline and at 12 weeks. PROMIS is a precise and reliable way to measure domains of physical, mental and social health that are critical to PtGA. Pain scores were collected using visual analog scale ranging from 0–10 at baseline and 12 weeks.

Statistical analysis

Sample size was calculated using a two-sample t-test with a 5-point differential in mean PROMIS score changes, and a standard deviation of 5.15 [11]. This provided 80% power at the 5% significant level. The sample size required to achieve adequate power for PROMIS outcomes was 36 patients total, assuming 18 patients in each group. To account for a 10% attrition rate, it was recommended that at least 20 patients be assigned to each group (40 patients, total).

Summary statistics were calculated using means and standard deviations for continuous variables, such as age and patient reported outcomes. The normality of the continuous variables was tested using Shapiro-Wilk tests. Two-sample t-tests were used to compare the differences in continuous variables that meet the normality assumption, such as Global Physical and Mental Health T-scores at 12 weeks and the 12-week to baseline change in Global Physical Health T-score. Categorical variables, such as sex, smoking status anti-cyclic citrullinated peptide, rheumatoid factor were summarized using frequencies and percentages and were compared using Pearson’s chi-square tests. To obtain the effect sizes, Cohen’s ds were provided for patient reported outcomes at 12 weeks and the changes in scores. Three separate multiple linear regressions were used to model the association between 12 weeks to baseline changes in patient reported outcomes (PROMIS physical health, mental health and pain scores) and treatment group (functional medicine vs. standard of care). The covariates included in the full models were age, sex, smoking status, anti-cyclic citrullinated peptide, rheumatoid factor and corresponding baseline score. Moreover, interaction term between treatment group and each of these covariates were also included. Before building the models, multicollinearity among predictors was checked using variance inflation factors (VIF) and condition indices. VIF greater than 10 and condition indices greater than 30 were used to identify strong multicollinearity. No multicollinearity was found. Backward elimination (with a threshold of p < 0.05) was used to identify important variables in the models and results of the reduced models were shown. Data management, descriptive statistics and multivariable modeling were performed using SAS software (version 9·4; Cary, NC). All tests were two-sided, with an alpha-level of 0.05.

Results

Baseline characteristics of study groups

318 patients seen in the functional medicine department were initially identified as having RA or PsA by ICD 9/10 code. Of these patients, 54 had documentation of their diagnosis by a board certified rheumatologist and had complete data over the study time frame and were included into the study. The main reasons for exclusion from the study were: incomplete data, inadequate follow up within the first 12 weeks after starting the functional medicine program, inadequate documentation of rheumatologic diagnosis or confounding by lack of stable doses of medications to treat inflammatory arthritis. In the standard of care group, 54 patients seen in the rheumatology department alone without any functional medicine intervention were identified for inclusion into the study. Baseline characteristics were similar between both groups with the exception of PROMIS global physical health and pain scores which were significantly different in the functional medicine group as compared to the standard of care group (PROMIS global physical health score 43·2 ± 6·6 in the functional medicine group as compared to 39·7 ± 8·7 in the standard of care group and pain scores of 3·5 ± 1·9 and 5·2 ± 2·7 respectively) (Table 1). There was also a statistically significant difference among treatment regimens. This was likely due to a high number of patients in the functional medicine group who were risk averse to using chronic disease modifying therapy. Interestingly disease activity scores as measured by RAPID3, a validated disease assessment instrument, were similar despite these treatment differences.

Table 1. Descriptive statistics on patient reported outcomes at baseline, demographic and clinical characteristics.

Overall (N = 109) Functional Medicine (N = 54) Standard of Care (N = 55)
Factor N Statistics n Statistics n Statistics p-value
Global physical health T-score baseline 109 41.4±7.9 54 43.2±6.6 55 39.7±8.7 0.022a
Global mental health T-score baseline 109 45.6±8.3 54 45.8±8.4 55 45.3±8.3 0.73a
Pain score baseline 108 4.4±2.5 54 3.5±1.9 54 5.2±2.7 <0.001a
RAPID3 baseline 51 3.9±2.0 6 3.2±1.02 45 4.0±2.1 0.36a
Age 109 52.9±11.3 54 51.0±10.6 55 54.8±11.8 0.078a
Sex 109 54 55 0.075c
    male 35(32.1) 13(24.1) 22(40.0)
    female 74(67.9) 41(75.9) 33(60.0)
Smoking 108 53 55 0.16c
    Never 62(57.4) 34(64.2) 28(50.9)
    Former or Current 46(42.6) 19(35.8) 27(49.1)
CCP 109 54 55 0.67c
    Positive 43(39.4) 23(42.6) 20(36.4)
    Negative 40(36.7) 20(37.0) 20(36.4)
    Unknown 26(23.9) 11(20.4) 15(27.3)
RF 109 54 55 0.12c
    Positive 37(33.9) 22(40.7) 15(27.3)
    Negative 50(45.9) 25(46.3) 25(45.5)
    Unknown 22(20.2) 7(13.0) 15(27.3)
Treatment at baseline 108 53 55 <0.001C
    Conventional DMARD therapy 29(26.9) 12(22.6) 17(30.9)
    Biologic DMARD therapy 66(61.1) 28(52.8) 38(69.1)
    None 13(12.0) 13(24.5) 0(0.0)

Statistics presented as Mean ± SD or N (column %).

p-values: a = ANOVA, c = Pearson's chi-square test.

CCP = anti-cyclic citrullinated peptide; RF = rheumatoid factor; DMARD = Disease modifying anti-rheumatic drug

Univariate analyses evaluating the effects of functional medicine on PROMIS physical, mental and pain scores at 12 weeks

On univariate analysis, 12 week PROMIS global physical health T scores (45·4 ±6·5 and 40·2 ± 7·1) and pain scores (3·1 ± 1·8 and 5·0 ± 2·4) remained statistically significant between the functional medicine and standard of care groups respectively, however, there was no statistically significant change when comparing groups to each other. In terms of the effect sizes (Cohen’s d), at univariate level, 12-week pain scores and RAPID 3 had biggest effect sizes of around 0.9, suggesting that the mean differences of these two measures equal to around 0.9 of standard deviation (Table 2).

Table 2. Descriptive statistics on patient reported outcomes at 12 weeks, and change (12 weeks–baseline) in scores.

Overall (N = 109) Functional Medicine (N = 54) Standard of Care (N = 55)
Factor N Statistics N Statistics N Statistics Cohen's d p-value
PROMIS global physical health T score at 12 weeks 109 42.8±7.3 54 45.4±6.5 55 40.2±7.1 0.76 <0.001a1
PROMIS global mental health T score 12 weeks 109 46.5±8.5 54 46.8±8.9 55 46.1±8.2 0.08 0.70a1
Pain 12 weeks 108 4.1±2.3 54 3.1±1.8 54 5.0±2.4 -0.90 <0.001a2
RAPID 3 12 weeks 52 3.8±2.0 6 2.1±0.78 46 4.0±2.0 -0.99 0.021a2
PROMIS global physical health score change 109 1.3±5.0 54 2.2±4.9 55 0.48±5.0 0.35 0.068a1
PROMIS global mental health score change 109 0.90±4.7 54 0.94±4.8 55 0.86±4.7 0.02 0.93a1
Pain score change 108 -0.31±1.9 54 -0.41±1.6 54 -0.20±2.1 -0.11 0.57a1

Statistics presented as Mean ± SD.

p-values: a1 = t-test, a2 = Satterthwaite t-test.

Multivariate analyses evaluating the effects of functional medicine on PROMIS physical, mental and pain scores at 12 weeks

Table 3 showed that average change of physical health score in functional medicine group was 2.84 point greater compared to standard of care group (p = 0.001), after controlling for baseline physical health score.

Table 3. Results for multivariable models.

Term Coefficient 95% CI p-value
Model 1: Change in PROMIS Global Physical Health score      
Intercept 13.02 (8.58, 17.46) <0.001
Treatment group: Functional Medicine 2.84 (1.15, 4.53) 0.001
Baseline PROMIS Global Physical Health Score -0.32 (-0.42, -0.21) <0.001
Model 2: Change in Pain Score      
Intercept 1.89 (1.07, 2.72) <0.001
Treatment group: Functional Medicine -0.92 (-1.58, -0.26) 0.007
Baseline Pain Score -0.4 (-0.53, -0.27) <0.001
Model 3: Change in PROMIS Global Mental Health Score      
Intercept 15.42 (8.30, 22.55) <0.001
Treatment group: Functional Medicine -12.97 (-21.04, -4.89) 0.002
Age -0.15 (-0.25, -0.05) 0.003
Baseline PROMIS Global Mental Health Score -0.14 (-0.24, -0.04) 0.006
Age*Treatment group: Functional Medicine 0.24 (0.09, 0.39) 0.002

The average change of pain score in functional medicine groups was 0.92 point less compared to standard of care group (p = 0.007), after controlling for baseline pain score. Therefore, physical health and pain scores both showed significant improvement in the functional medicine group as compared to the standard of care group. After adjusting for the difference in baseline mental health scores, there was also a significant improvement in mental health in the functional medicine group as compared to standard of care. The significant age * treatment group (p = 0.002) interaction term suggested that mental health was dependent on age and the impact of an adjunctive functional medicine treatment was seen to have the greatest benefit in patients aged 55 and older (Fig 1).

Fig 1. Mean change in mental health score vs. age.

Fig 1

This figure displays the significant interaction between age and treatment group for change in mental health score. Y-axis is the least square mean estimate of change in mental health score. The difference in slope of the two lines suggests that the effect of functional medicine on mental health depends on age. When age progresses, the role of functional medicine becomes obvious, as suggested by the increase of change in mental health score.

Discussion

In this retrospective study, the adjunctive treatment with a 12-week functional medicine program improved PROMIS physical and mental health scores as well as pain scores as compared to the standard of care. These results are important new knowledge for healthcare professionals when discussing adjunctive care related to nutrition and lifestyle habits in RA and PsA patients. Since prior research has been largely limited to both anecdotal and observational analyses for these alternative care models, these results support the use of adjunctive care with a functional medicine approach to improve patient reported outcomes in RA and PsA patients.

Due to the baseline characteristic differences and wide distribution of responses, a multivariable analysis was performed and demonstrated a statistically significant improvement in pain scores of -0.92 in the functional medicine group as compared to the standard of care group. Previous observational studies have reported the minimal clinically significant difference in pain scores in patients with rheumatoid arthritis as a reduction of pain on a 10 point VAS scale of -0.5 to -1.1 [12]. Therefore, although the reductions in pain score in the functional medicine group were small, they were both clinically and statistically significant.

Similarly, PROMIS physical health T scores were greater by 2.84 points in the functional medicine group as compared to standard of care when controlling for baseline differences. Previous studies have suggested that the minimal clinically significant difference in PROMIS physical health scores range from 1.9 to 2.2 indicating this was also both statistically and clinically significant [13].

Interestingly, improvements in PROMIS mental health score were dependent on age. Compared to those less than 55 years of age, patients older than 55 showed an improvement in PROMIS mental health scores with adjunctive functional medicine. This may have important clinical implications and suggests that older patients may have an added benefit from the addition of a functional medicine program compared to younger patients.

Mental health-related illness is common in the elderly and may arise secondary to associated medical comorbidities, poor socioeconomic status, disability and/or social isolation [14]. Additionally, those with a diagnosis of rheumatoid arthritis are two to four times more likely to experience major depressive disorder than the general population [15]. Recent evidence suggest that improved nutrition may in fact help alleviate depression. Numerous studies have demonstrated that higher intakes of fruit, vegetables, and fish may be associated with reduced depression risk [16, 17]. In addition, a recent randomized controlled trial in a middle-aged population (early 40s) demonstrated a significant reduction in depression symptoms following a dietary intervention that included personalized support from a dietitian and the consumption of a modified Mediterranean diet [18]. Thus, dietary and lifestyle improvements, such as those used in functional medicine, may have a role in the improvement of mental health scores in elderly patients.

Our study had several limitations. First, was the retrospective nature of our study. Because patients were not randomized, the patients who participated in the functional medicine program may have an inherent bias towards not using chronic disease modifying therapy. This was illustrated by the differences in baseline treatment regimens. More patients in the functional medicine group were on no RA or PsA disease modifying therapy as compared to patients in the standard of care group. RAPID3 scores were similar between groups indicating that this difference in treatment was not reflective of differences in disease activity. Without prospectively randomizing patients, we were unable to achieve homogeneity regarding treatment or certain lifestyle behaviors between groups. For instance, a higher number of patients in the standard of care group were smokers as compared to patients in the functional medicine group. Although this was not statistically significant, it is well known that cigarette smoking increases rheumatoid arthritis disease severity [19]. It is possible that the statistically significant differences in PROMIS physical health and pain scores favoring the functional medicine group is reflective of milder disease or shorter duration of disease as opposed to those patients receiving standard of care in rheumatology alone. However, using a multivariate analysis, we were able to account for these differences seen between groups and were able to demonstrate a statistically significant improvement in all primary outcomes in patients treated with an adjunctive functional medicine program.

This study represents the first report of the positive impact of functional medicine on patient reported outcomes in inflammatory arthritis patients. These findings indicate that functional medicine may have an important role as an adjunctive therapy to address patient’s physical and mental health, as well as pain, in those who have not seen improvement with standard of care alone. Due to the individualized nature of patient care plans in the Center for Functional Medicine, it is difficult to speculate which particular component of functional medicine treatment had the greatest impact on patient reported outcomes, or whether it was due to other personalized treatment variables. Further research is needed to elucidate which aspect(s) of functional medicine is responsible for the positive results seen in our study.

Acknowledgments

We would like to acknowledge the Center for Functional Medicine at Cleveland Clinic Foundation for their support with this project. We would specifically like to recognize Marilyn Alejandro-Rodriguez for her efforts.

Data Availability

Data used for the generation of this study includes human research participant data that are sensitive and cannot be publicly shared due to legal and ethical restrictions by the Cleveland Clinic regulatory bodies including the institutional review Board and legal counsel. Some variables collected were HIPAA protected health information and legally cannot be publicly shared. Since these variables were critical to the analyses, a partial dataset (everything except them) is not fruitful either because it will not help in efforts of academic advancement, such as model validation or application. We will make our data sets available upon request, under appropriate data use agreements with the specific parties interested in academic collaboration. Requests for data access can be made to Sandra Hodnick (HODNICS@ccf.org).

Funding Statement

The author(s) received no specific funding for this work.

References

  • 1.CDC. Prevalence and most common causes of disability among adults—United States, 2005. Morb Mortal Wkly Rep 2009;58:421–6. [PubMed] [Google Scholar]
  • 2.Shahouri SH, Michaud K, Mikuls TR, Caplan L, Shaver TS, Anderson JD, et al. Remission of Rheumatoid Arthritis in Clinical Practice: Application of the ACR/EULAR 2011 Remission Criteria. Arthritis Rheum 2011; 63(11): 3204–3215. 10.1002/art.30524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Felson DT, Smolen JS, Wells G, Zhang B, van Tuyl LH, Funovits J, et al. American College of Rheumatology/European League against Rheumatism Preliminary Definition of Remission in Rheumatoid Arthritis for Clinical Trials. Arthritis Rheum 2011; 63(3): 573–586. 10.1002/art.30129 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sanderson T, Morris M, Calnan M, Richards P, Hewlett S. Patient perspective of measuring treatment efficacy: the rheumatoid arthritis patient priorities for pharmacologic interventions outcomes. Arthritis Care Res (Hoboken) 2010;62(5):647–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Nikiphorou E, Radner H, Chatzidionysiou K, Desthieux c, Zabalan C, van Eijk-Hustings Y et al. Patient global assessment in measuring disease activity in rheumatoid arthritis: a review of the literature. Arthritis Res Ther 2016;18:251 10.1186/s13075-016-1151-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Furman D, Campisi J, Verdin E, Carrera Bastos P, Targ S, Frenceshci C et al. Chronic inflammation in the etiology of disease across life span. Nature medicine 2019; 25: 1822–1832. 10.1038/s41591-019-0675-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hanaway P. Form follows function: A Functional Medicine overview. Perm J 2016;20(4):125–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ward MM, Deodhar A, Akl EA, Lui A, Ermann J, Gensler LS, et al. American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network 2015 recommendations for the treatment of ankylosing spondylitis and nonradiographic axial spondyloarthritis Arthritis Rheumatol 2016; 68: 282– 98. 10.1002/art.39298 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Singh J, Saag KG, Bridges SL Jr, Akl EA, Bannuru RR, Sullivan MC et al. Special Article: 2015 American College of Rheumatology Guideline for the treatment of Rheumatoid Arthritis Arthritis Care Res 2016; 68: 1– 25. [DOI] [PubMed] [Google Scholar]
  • 10.Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, et al. 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–S1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bartlett SJ, Orbai A-M, Duncan T, DeLeon E, Ruffing V, Clegg-Smith K, et al. Reliability and Validity of Selected PROMIS Measures in People with Rheumatoid Arthritis. PLoS ONE 2015;10(9): e0138543 10.1371/journal.pone.0138543 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wolfe F, Michaud K. Assessment of pain in rheumatoid arthritis: minimal clinically significant difference, predictors, and the effect of anti-tumor necrosis factor therapy. J Rheumatol 2007;34(8):1674–1683. [PubMed] [Google Scholar]
  • 13.Lee AC, Driban JB, Price LL, Harvey WF, Rodday AM, Wang C. Responsiveness and Minimally Important Differences for 4 Patient-Reported Outcomes Measurement Information System Short Forms: Physical Function, Pain Interference, Depression, and Anxiety in Knee Osteoarthritis. J Pain 2017;18(9):1096–1110. 10.1016/j.jpain.2017.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Alexopooulos G. Depression in the Elderly. Lancet 2005; 365:1961–70 10.1016/S0140-6736(05)66665-2 [DOI] [PubMed] [Google Scholar]
  • 15.Wright GE, Parker JC, Smarr KL, Johnson JC, Hewett JE, Walker SE. Age, depressive symptoms, and rheumatoid arthritis. Arthritis Rheum 1998;41(2):298–305. [DOI] [PubMed] [Google Scholar]
  • 16.Lai JS, Hiles S, Bisquera A, Hure AJ, McEvoy M, Attia J. A systematic review and meta-analysis of dietary patterns and depression in community-dwelling adults. Am J Clin Nutr 2014;99:181–197 10.3945/ajcn.113.069880 [DOI] [PubMed] [Google Scholar]
  • 17.Sapranaviciute-Zabazlajeva L, Luksiene D, Virviciute D, Bobak M, Tamosjunas A. Link between healthy lifestyle and psychological well-being in Lithuanian adults aged 45–72: a cross-sectional study. BMJ Open 2017; 7(4):e014240 10.1136/bmjopen-2016-014240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Jacka FN, O’Neil A, Opie R, Itsiopoulos C, Cotton S, Mohebbi M et al. A randomised controlled trial of dietary improvement for adults with major depression (the 'SMILES' trial). BMC Med 2017;15(1):23 10.1186/s12916-017-0791-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Saag KG, Cerhan JR, Kolluri S, Ohashi K, Hunninghake GW, Schwartz DA. Cigarette smoking and rheumatoid arthritis severity. Ann Rheum Dis 1997;56(8):463–469. 10.1136/ard.56.8.463 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Mahmoud Abu-Shakra

6 Jul 2020

PONE-D-20-14349

The Impact of Functional Medicine on Patient-Reported Outcomes in Inflammatory Arthritis: A Retrospective Study

PLOS ONE

Dear Dr. Nicole Droz

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

This a relatively small study, The research hypothesis, sample size calculation, power analyses and the methodology used in the study need to be re-evaluated.

Please address all of the attached comments. 

Please submit your revised manuscript by Aug 20 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Mahmoud Abu-Shakra, MD

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Thank you for stating the following in the Competing Interests section:

'I have read the journal's policy and the authors of this manuscript have the following competing interests:

Nicole Droz, MD- none

Yuxuan Jin- none

Mark Hyman, MD- * Ownership of stocks or shares:  Mutual funds and investments that may include medically or food related companies managed by investment broker,, multiple private companies including Thrive Market, Hu Kitchen, Walden Meats,  WTR MLN WTR, Parsley Health, Bulletproof, Good Money

* Paid employment or consultancy: Cleveland Clinic and owner of The UltraWellness Center, Hyman Digital, Hyman Enterprises (published 16 books on health and nutrition), Vitamin Portfolio, Farmacy, The Doctor’s Farmacy podcast

* Board membership: Institute for Functional Medicine, Environmental Working Group, Center for Mind Body Medicine

Michelle Beidelschies, PhD: reported receiving personal fees from Cleveland HeartLab, Inc. outside the submitted work. In addition, Dr. Beidelschies had a patent (No. 20110269150) issued.

Elaine Husni, MD: Dr. Husni is a consultant (with honoraria) from AbbVie, Janssen, Sanofi Genzyme/Regeneron, UCB, Novartis, and Lilly (less than $10,000 each) and is a coinventor on a patent for a psoriatic arthritis questionnaire PASE (Psoriatic Arthritis Screening Evaluation), for which she receives royalties.

Patrick Hanaway, MD: Dr Hanaway reported serving as paid educational consultant and teaching for the Institute for Functional Medicine.'

We note that you have a patent relating to material pertinent to this article.

Please provide an amended statement of Competing Interests to declare this patent (with details including name and number), along with any other relevant declarations relating to employment, consultancy, patents, products in development or modified products etc.

Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

This information should be included in your cover letter; we will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

4. Please justify the sample size included in this study, i.e. with reference to any sample size calculations performed or by citing previous studies.

Please refer to our statistical reporting guidelines for assistance (https://journals.plos.org/plosone/s/submission-guidelines.#loc-statistical-reporting).

Additional Editor Comments:

Add the limitations of study in the abstract and discussion.

Calculate sample size and perform power analyses.

The paper needs to be reviewed by a statistician to address whether the methodology used can address the research objectives

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: I Don't Know

Reviewer #2: No

Reviewer #3: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Grammatical errors (per Line number):

1. L30: “Despite, treatment” –remove coma

2. L30:“arthritis ,” -- remove empty space

3. L34: “patient reported” --hyphenate

4. L39: “Multivariable”—should probably be the more common MULTIVARIATE

5. L40: be consistent with either “patients reported” or patient-reported

6. L49: “patient’s” – should be patient or patients’

7. L61: “outcomes, however” –use semicolon or start new sentence

8. L65: “physician assessed” --hyphenate

9. L115: “regiment” is a military unit. regimen is a prescribed course of medical treatment

10. L126: “ex.” –nonstandard abbreviation, should be e.g.,

11. L144: “factorwere” – separate conjoined words

Research limitations/concerns:

1. L221: Limitations should also include mention that more patients in the standard treatment group were smokers, as smoking = worse prognosis

2. Needs contextualization: Pain dropped from 3.5 to 3.1 in the treatment group and 5.2 to 5.0 in the standard care group. Given that these are derived from a 0-10 scale, I doubt that these are of clinical importance.

3. Needs clarification: “318 patients were screened for inclusion into the functional medicine group. … The main reasons for exclusion from the study were … escalation of medical therapy for PsA or RA.” If the treatment did not work and drugs were escalated, then the patients were excluded from the final calculations, thereby biasing for treatment efficacy? 264 eliminated from 318 = 83% eliminated.

4. Zero mention of cost, therefore impossible to consider cost-effectiveness. However, given the notoriously high cost of functional medicine care, this is an important omission.

Reviewer #2: The authors report the benefits of functional medicine, an adjuvant form of therapy, in patients with chronic inflammatory arthritis, specifically rheumatoid arthritis and psoriatic arthritis. The study is original and interesting and opens a new avenue for an adjuvant approach to this type of disease.

Before considering publication of this manuscript, this reviewer has the following questions and suggestions.

1. Please define the abbreviation PROMIS in the abstract

2. In the introduction, delve deeper into the concept of functional medicine and what the benefits of this form of treatment are based on. For example, substantiate how this model can influence the immunoinflammatory pathways of both diseases, or if there is any study that has analyzed this intervention on intestinal dysbiosis found in both diseases.

3. Although the authors provide a good methodological description, fundamental information is missing. For example, we know nothing of the pharmacological regimens of both groups; Nor are we told if both groups were adequately matched for these treatments, including their duration; nothing is said about what the inclusion criteria are for subjecting patients to functional medicine. In sum, the authors must provide detailed information on both groups, including information on both types of arthritis patients.

4. The authors use concepts without a clear definition of them. For example, alterations in intestinal permeability are discussed but it is not said how this alteration was detected. Terminology, such as biotransformation or liver detoxification strategies, is also used, without a clear definition of what this means. Note that many readers are unfamiliar with this terminology and what its measurement standards are.

5. In the sense of the previous paragraph, you mention that the potential overexposure to heavy metals was assessed, but we are not told by what method and what values were used for this purpose.

6. Many readers will not be familiar with the PROMIS tool and its standards. Provide more information about it.

7. Some of the statistical tests used as the ANOVA are based on assuming normality in the distribution of the quantitative variables. In general, this test seems more appropriate to compare the means of 3 or more normal variables. The hypothesis of normality in the distribution of the study variables was tested?

8. To define how relevant this type of intervention can be, it would be useful to provide an effect size of the differences found, not only if these differences were significant or not. Only in this way can we know the magnitude of this intervention on the general health of these patients.

General comment:

As the authors point out, the main and most serious problem of the study is its retrospective design, which generates many uncertainties regarding the reliability of the results. On the other hand, the number of patients is small, and the authors chose two very different types of patients. It is known that, for example, metabolic syndrome, a factor that has a very negative impact on the health of these patients, is much more common in psoriatic than in rheumatoid arthritis, therefore, both entities must be approached differently. In fact, there are already experiences in the literature on the benefits of weight loss on the outcomes reported in PsA. Therefore, it is advisable that the authors undertake a prospective randomized clinical trial to give a clear role to functional medicine in the management of these diseases.

Reviewer #3: The authors conduct a 12-week, retrospective study to investigate the impact of functional medicine on patient reported outcomes in patients with inflammatory arthritis. The data were collected at baseline and 12 weeks based on 54 subjects. The results showed that the reduction in pain, change in PROMIS physical health score and changes in global mental health scores were significantly different between the functional medicine group and the standard of care.

1. Line 102. It’s unclear how the study subjects were recruited. Sampling approach? Recruitment period? It lacks of details.

2. Line 144. Typo, “rheumatoid factorwere summarized…”. Should be “factor were”?

3. Line 145. “to test difference in continuous variables”. It’s unclear what difference are discussing here. Need to be more specific.

4. Line 163. “54 patients seen in the reheumatology department alone during the same time period….” It’s unclear which group it refers to. Based on the numbers, it seems refer to the group with functional medicine; however, if so, how the group receiving the standard of care alone was recruited?

5. Table 1. Two of three primary factors (physical health, pain score) were significantly different at baseline between two groups. Was the type of assigned care determined based on those factors during the recruitment?

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Alex Vasquez

Reviewer #2: No

Reviewer #3: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Decision Letter 1

Mahmoud Abu-Shakra

28 Sep 2020

The Impact of Functional Medicine on Patient-Reported Outcomes in Inflammatory Arthritis: A Retrospective Study

PONE-D-20-14349R1

Dear Dr. Nicole Droz

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Mahmoud Abu-Shakra, MD

Academic Editor

PLOS ONE

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: Many thanks to the authors for adequately responding to all the queries raised by this reviewer. The manuscript now looks significantly improved.

Reviewer #3: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Reviewer #3: No

Acceptance letter

Mahmoud Abu-Shakra

30 Sep 2020

PONE-D-20-14349R1

The impact of functional medicine on patient-reported outcomes in inflammatory arthritis: a retrospective study

Dear Dr. Droz:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Mahmoud Abu-Shakra

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    Data used for the generation of this study includes human research participant data that are sensitive and cannot be publicly shared due to legal and ethical restrictions by the Cleveland Clinic regulatory bodies including the institutional review Board and legal counsel. Some variables collected were HIPAA protected health information and legally cannot be publicly shared. Since these variables were critical to the analyses, a partial dataset (everything except them) is not fruitful either because it will not help in efforts of academic advancement, such as model validation or application. We will make our data sets available upon request, under appropriate data use agreements with the specific parties interested in academic collaboration. Requests for data access can be made to Sandra Hodnick (HODNICS@ccf.org).


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES