Case report

Improvement in montreal cognitive assessment score following three-week pain rehabilitation program

  • Received: 10 June 2019 Accepted: 26 July 2019 Published: 15 August 2019
  • Aim: To demonstrate improvement in cognitive function following a 3-week Intensive Interdisciplinary Pain Rehabilitation Program. Methods: The Montreal Cognitive Assessment (MoCA) was performed at initial evaluation and on dismissal day of the program. Results: The patient had chronic, non-cancer lower back pain for over 15 years for which patient had myriad of treatments. Patient was directed to Intensive Interdisciplinary Pain Rehabilitation Program as a last resort treatment. The patient had moderate cognitive impairment when he joined the program (MoCA score of 17/30) that dramatically improved into the normal cognitive range by the end of the program (MoCA score of 26/30). Conclusions: Improvement in MoCA score was demonstrated after completion of the Intensive Interdisciplinary Pain Rehabilitation Program, which is the first demonstrated case.

    Citation: Joann E. Bolton, Elke Lacayo, Svetlana Kurklinsky, Christopher D. Sletten. Improvement in montreal cognitive assessment score following three-week pain rehabilitation program[J]. AIMS Medical Science, 2019, 6(3): 201-209. doi: 10.3934/medsci.2019.3.201

    Related Papers:

    [1] Weijie Lu, Yonghui Xia . Periodic solution of a stage-structured predator-prey model with Crowley-Martin type functional response. AIMS Mathematics, 2022, 7(5): 8162-8175. doi: 10.3934/math.2022454
    [2] Na Min, Hongyang Zhang, Xiaobin Gao, Pengyu Zeng . Impacts of hunting cooperation and prey harvesting in a Leslie-Gower prey-predator system with strong Allee effect. AIMS Mathematics, 2024, 9(12): 34618-34646. doi: 10.3934/math.20241649
    [3] Xiaohuan Yu, Mingzhan Huang . Dynamics of a Gilpin-Ayala predator-prey system with state feedback weighted harvest strategy. AIMS Mathematics, 2023, 8(11): 26968-26990. doi: 10.3934/math.20231380
    [4] Yudan Ma, Ming Zhao, Yunfei Du . Impact of the strong Allee effect in a predator-prey model. AIMS Mathematics, 2022, 7(9): 16296-16314. doi: 10.3934/math.2022890
    [5] Fatao Wang, Ruizhi Yang, Yining Xie, Jing Zhao . Hopf bifurcation in a delayed reaction diffusion predator-prey model with weak Allee effect on prey and fear effect on predator. AIMS Mathematics, 2023, 8(8): 17719-17743. doi: 10.3934/math.2023905
    [6] Lingling Li, Xuechen Li . The spatiotemporal dynamics of a diffusive predator-prey model with double Allee effect. AIMS Mathematics, 2024, 9(10): 26902-26915. doi: 10.3934/math.20241309
    [7] Yalong Xue . Analysis of a prey-predator system incorporating the additive Allee effect and intraspecific cooperation. AIMS Mathematics, 2024, 9(1): 1273-1290. doi: 10.3934/math.2024063
    [8] Chengchong Lu, Xinxin Liu, Zhicheng Li . The dynamics and harvesting strategies of a predator-prey system with Allee effect on prey. AIMS Mathematics, 2023, 8(12): 28897-28925. doi: 10.3934/math.20231481
    [9] Heping Jiang . Complex dynamics induced by harvesting rate and delay in a diffusive Leslie-Gower predator-prey model. AIMS Mathematics, 2023, 8(9): 20718-20730. doi: 10.3934/math.20231056
    [10] Reshma K P, Ankit Kumar . Stability and bifurcation in a predator-prey system with effect of fear and additional food. AIMS Mathematics, 2024, 9(2): 4211-4240. doi: 10.3934/math.2024208
  • Aim: To demonstrate improvement in cognitive function following a 3-week Intensive Interdisciplinary Pain Rehabilitation Program. Methods: The Montreal Cognitive Assessment (MoCA) was performed at initial evaluation and on dismissal day of the program. Results: The patient had chronic, non-cancer lower back pain for over 15 years for which patient had myriad of treatments. Patient was directed to Intensive Interdisciplinary Pain Rehabilitation Program as a last resort treatment. The patient had moderate cognitive impairment when he joined the program (MoCA score of 17/30) that dramatically improved into the normal cognitive range by the end of the program (MoCA score of 26/30). Conclusions: Improvement in MoCA score was demonstrated after completion of the Intensive Interdisciplinary Pain Rehabilitation Program, which is the first demonstrated case.


    Bacterial resistance to antibiotic treatments has become a significant global challenge [1], with more successful strategies being urgently required [2]. It has been suggested that combining graphene and derivatives with antibiotics might provide a novel approach to treating the most serious of resistant bacterial infections [3],[4].

    Graphene is a single layer of carbon atoms arranged into a honeycomb lattice [5]. The crystalline structure is held together by sp2 hybridisation of the carbon atoms [6]. Graphene is a two-dimensional structure which can be manipulated to form different carbon allotropes such as fullerenes (zero-dimensional) through wrapping, nanotubes by rolling (one-dimensional) or stacked into graphite (three-dimensional) [5],[7]. Graphene oxide is produced by attaching functional groups to graphene sheets via oxidation. Epoxide and phenol hydroxyl groups attach to the basal plane whilst the edges of the graphene sheet are covered in carboxylic groups [8]. Graphene compounds have high surface energies that allow for strong absorption of ions and molecules which alter the bacterial microenvironment. Slight pH changes via hydroxyl and carboxyl dissociations change the environment and therefore bacterial proliferation is affected [9].

    The in vitro antimicrobial properties of graphene and derivatives have been well established [4]. There are three main proposed mechanisms of antimicrobial activity of graphene and derivatives. Firstly, graphene-based compounds have nanoknives which physically disrupt the bacterial membrane via sharp edges causing leakage of intracellular substances; membrane integrity is lost and cell death occurs [8],[9]. Secondly, oxidative stress via the generation of reactive oxygen species dependent/independent pathways may disrupt bacterial metabolism and cellular functions leading to cell death through apoptosis [9]. More specifically, inducible oxidative stress is the mode of action that is attributed to graphene [8]. Finally, a thin flexible barrier is created by the graphene lateral two-dimensional structure which wraps/traps the bacterial cell membrane preventing nutrient acquisition and disruption of optimum physiochemical growth condition [4]. This results in a decrease in cell viability and metabolic activity [9]. Indeed, the sheeted structure of graphene oxide can intertwine with the bacterial cell, reducing membrane accessibility [10]. These modes of action are very distinct from those of traditional antibiotics which have clearly defined target sites within the bacterial cell [11].

    Despite the well-established antimicrobial properties of graphene and derivatives, so far these have been unsuitable for medical use due to low efficacy [4]. The high concentration of compound required to achieve sufficient in vivo antimicrobial activity is likely prohibitive when considering the requirements for clinical applications. To address this, some studies have conjugated graphene and derivatives with metals [12],[13], natural products such as curcumin [14] and antibiotics [15] to study potential synergist effects. However, there is a dearth in knowledge regarding the choice of suitable antibiotic combinations, which promote synergy and avoid antagonism.

    In this study, three clinically relevant antibiotics with different modes of antimicrobial activity were selected. Ciprofloxacin (CIP), a fluoroquinolone, inhibits nucleic acid synthesis by inhibiting the activity of DNA Gyrase and Topoisomerase IV [16]. Chloramphenicol (CHL) inhibits protein synthesis by binding to the 50S ribosomal subunit which prevents the activity of peptidyl transferase [17]. Piperacillin is a β-lactam which inhibits the action of penicillin binding proteins which disrupts cell wall synthesis [18],[19]. This is used in combination with tazobactam as piperacillin/tazobactam (TZP), a β-lactamase inhibitor which is designed to reduce resistance generation [20]. Utilising the very distinct antibacterial properties of each antibiotic compared to those of graphene, graphene oxide and graphite, and using antimicrobial screening methods, we identified that combination therapy may provide a novel treatment option against well-characterised representative type strains of three ESKAPE pathogens, Enterococcus faecium, Klebsiella pneumoniae and Escherichia coli.

    E. faecium strain NCTC 7171 was cultured using Columbia Blood agar (Oxoid, UK) supplemented with 5% horse blood (TCS Biosciences, UK) or Brain Heart Infusion (BHI) broth (Oxoid, UK) with agitation and incubated in anaerobic conditions at 37 °C for 24 h. K. pneumoniae strain NCTC 9633 and E. coli strain NCTC 10418 were cultured using Nutrient agar or broth (Oxoid, UK) and incubated in aerobic conditions at 37 °C for 24 h.

    Graphene, graphene oxide (aqueous solution) and graphite were supplied by Manchester Metropolitan University (UK) and prepared in distilled water. All antibiotics were obtained from Sigma-Aldrich (Poole, UK) with CIP solubilised in 0.1 M hydrochloric acid, CHL in 95% ethanol and TZP (manufacturer pre-prepared) in distilled water.

    MIC values were determined for each antibiotic and graphene derivative by using a 96 well microbroth dilution assay [12]. Briefly, 0.15% (w/v) tetrazolium blue chloride (TBC) (Sigma-Aldrich, UK) was added to approximately 1.0 × 109 colony forming units per mL of each bacterial inoculum (E. faecium, K. pneumoniae and E. coli) in 2× concentrated media. Aliquots of 100 µL culture were mixed with equal volumes of respective antimicrobial compounds and serially diluted sequentially to a final ten fold dilution. Ethanol (95%) and hydrochloric acid (0.1 M) solvent controls were included. Plates were incubated in aerobic or anaerobic conditions at 37 °C for 24 h. All experiments were conducted with n = 3. MIC values were recorded as the lowest concentration with no visible colour change.

    FIC values were determined to identify synergistic antimicrobial activity between each antibiotic and carbon-based supplement against each bacterial species as described by Sopirala et al. (2010) [21]. Briefly, similar methods were employed as described above, however, 50 µL of each compound at twice concentration were added to the starting well before serial dilution prior to incubation and MIC determination. FIC for each antimicrobial compound was determined using the equation sum FIC = [(MICcompound with antibiotic/MICcompound alone) + (MICantibiotic with compound/MICantibiotic alone)], where compound relates to the carbon supplement and antibiotic relates to CIP, CHL or TZP. The fractional index thresholds used were ≤ 0.5 indicating synergy, > 0.5 ≤ 1 additivity, > 1 ≤ 4 indifference and > 4 antagonism [21].

    The fractional inhibitory concentration (FIC) was calculated to analyse synergistic relationships between each compound combined with selected antibiotics against all three bacterial strains. The fractional inhibitory concentration index analysis revealed additive, indifferent or antagonistic effects. Additive activity was observed when CIP was combined with graphene, graphene oxide or graphite against K. pneumoniae (Table 2) and E. coli (Table 3), but only graphene demonstrated additive effects (∑FIC = 0.56) against E. faecium (Table 1).

    All CHL combinations with graphene, graphene oxide and graphite resulted in indifferent activity against E. faecium, K. pneumoniae and E. coli within ∑FIC range 1.01–2.95 (Tables 13), with the exception of CHL which when supplemented with graphite demonstrated additive interactions against E. coli (∑FIC = 1.00) (Table 3)

    Table 1.  FIC analysis of CIP, CHL and TZP in combination with graphene, graphene oxide and graphite against E. faecium. The fractional index points used were ≤ 0.5 synergy, > 0.5 ≤ 1 additivity, > 1 ≤ 4 indifference and > 4 antagonism. (A) denotes carbon-based compound as shown, (B) represents antibiotics ciprofloxacin (CIP), chloramphenicol (CHL) and piperacillin/tazobactam (TZP). All MIC values are in mg/L. ∑FIC, sum of the fractional inhibitory concentrations. Values are representative of three independent biological repeats.
    Compound (A) Antibiotic (B) MIC (A) MIC (A+B) MIC (B) MIC (B+A) ∑FIC Inter Interaction
    Graphene CIP 500 31.3 0.62 0.31 0.56 Additive
    CHL 500 7.81 0.16 0.47 2.95 Indifferent
    TZP 500 250 2.22 42.5 19.6 Antagonistic
    Graphene oxide CIP 292 52.1 0.62 0.52 1.02 Indifferent
    CHL 292 5.21 0.16 0.31 1.96 Indifferent
    TZP 292 52.1 2.22 8.85 4.17 Antagonistic
    Graphite CIP 250 62.5 0.62 0.63 1.27 Indifferent
    CHL 250 3.91 0.16 0.23 1.45 Indifferent
    TZP 250 15.6 2.22 2.65 1.26 Indifferent

     | Show Table
    DownLoad: CSV
    Table 2.  FIC analysis of CIP, CHL and TZP in combination with graphene, graphene oxide and graphite against K. pneumoniae. The fractional index points used were ≤ 0.5 synergy, > 0.5 ≤ 1 additivity, > 1 ≤ 4 indifference and > 4 antagonism. (A) denotes carbon-based compound as shown, (B) represents antibiotics ciprofloxacin (CIP), chloramphenicol (CHL) and piperacillin/tazobactam (TZP). All MIC values are in mg/L. ∑FIC, sum of the fractional inhibitory concentrations. Values are representative of three independent biological repeats.
    Compound (A) Antibiotic (B) MIC (A) MIC (A+B) MIC (B) MIC (B+A) ∑FIC Interaction
    Graphene CIP 417 0.98 0.01 0.01 1.00 Additive
    CHL 417 3.91 0.23 0.23 1.01 Indifferent
    TZP 417 5.21 0.67 0.89 1.34 Indifferent
    Graphene oxide CIP 500 0.98 0.01 0.01 1.00 Additive
    CHL 500 5.21 0.23 0.31 1.36 Indifferent
    TZP 500 3.26 0.67 0.56 0.84 Additive
    Graphite CIP 500 0.98 0.01 0.01 1.00 Additive
    CHL 500 8.45 0.23 0.51 2.23 Indifferent
    TZP 500 5.21 0.67 0.89 1.34 Indifferent

     | Show Table
    DownLoad: CSV
    Table 3.  FIC analysis of CIP, CHL and TZP in combination with graphene, graphene oxide and graphite against E. coli. The fractional index points used were ≤ 0.5 synergy, > 0.5 ≤ 1 additivity, > 1 ≤ 4 indifference and > 4 antagonism. (A) denotes carbon-based compound as shown, (B) represents antibiotics ciprofloxacin (CIP), chloramphenicol (CHL) and piperacillin/tazobactam (TZP). All MIC values are in mg/L. ∑FIC, sum of the fractional inhibitory concentrations. Values are representative of three independent biological repeats.
    Compound (A) Antibiotic (B) MIC (A) MIC (A+B) MIC (B) MIC (B+A) ∑FIC Interaction
    Graphene CIP 250 0.98 0.01 0.01 1.00 Additive
    CHL 250 1.63 0.08 0.10 1.26 Indifferent
    TZP 250 0.98 0.17 0.17 1.00 Additive
    Graphene oxide CIP 333 0.98 0.01 0.01 1.00 Additive
    CHL 333 1.95 0.08 0.12 1.51 Indifferent
    TZP 333 208 0.17 35.4 209 Antagonistic
    Graphite CIP 333 0.98 0.01 0.01 1.00 Additive
    CHL 333 1.30 0.08 0.08 1.00 Additive
    TZP 333 417 0.17 70.8 418 Antagonistic

     | Show Table
    DownLoad: CSV

    However, for TZP the synergistic effects were more diverse across the three target bacteria. TZP used in combination with graphene resulted in additive interactions against E. coli (∑FIC = 1.00) (Table 3), indifferent activity against K. pneumoniae (∑FIC = 1.34) (Table 2) and antagonistic effects against E. faecium (∑FIC = 19.6) (Table 1). For TZP supplemented with graphene oxide, additive interactions were observed against K. pneumoniae (∑FIC = 0.84) (Table 2), whereas antagonistic effects occurred with this combination against E. faecium (Table 1) and E. coli (Table 3). When TZP was combined with graphite, indifferent activity was observed against E. faecium (∑FIC = 1.26) (Table 1) and K. pneumoniae (∑FIC = 1.34) (Table 2), whereas for E. coli, this combination was the most antagonistic (∑FIC = 418) (Table 3).

    Hydrochloric acid and ethanol solvent controls were used for MIC and FIC assays and these showed no effect on bacterial growth (data not shown).

    Three antibiotics were combined with carbon-based compounds to determine synergistic antimicrobial activity against three key priority pathogens. The antimicrobial activity of CIP was most potentiated by the addition of graphene, where additive activity was observed against E. faecium, K. pneumoniae and E. coli. The addition of adjuvants such as graphene, which enhance antibiotic action, permits lower levels of antibiotic usage overall [22]. For E. faecium, there was an observed one-fold less concentration of CIP required to inhibit bacterial growth in the presence of graphene. Given CIP targets bacterial nucleic acid synthesis and graphene has other reported mechanisms of antimicrobial action [4], it is thought that combinatorial therapy may help reduce the risk of antimicrobial resistance. Given graphene is thought to assist with membrane perturbation [3], it could be suggested that graphene works in combination with CIP by facilitating entry into the bacterial cell thereby exposing target sites for CIP.

    The combinations of CIP with graphene oxide or graphite also showed additive activity against both E. coli and K. pneumoniae but not the Gram-positive E. faecium. This may indicate that these carbon-based derivatives are more active against the outer membrane of Gram-negative pathogens. Graphene and graphene oxide enhanced the antimicrobial activity of TZP against E. coli and K. pneumoniae respectively, but were both antagonistic for TZP targeting of E. faecium. This is likely attributed to the mechanism of activity of TZP and the physiology of the Gram-positive bacteria. TZP localises to the bacterial cell wall where, through the action of the β-lactam piperacillin, will inhibit the action of penicillin binding proteins to prevent cell wall crosslinking and formation [18],[20],[23]. Graphene is thought to provide a film that encapsulates the bacterial cell [9], which may inhibit TZP from accessing the cell wall of E. faecium. Significant antimicrobial antagonism was observed when TZP was combined with graphene oxide and graphite against E. coli. Such phenomenon have been reported previously where vancomycin demonstrated highly antagonistic activity against E. coli when combined with other cell wall inhibitors such as TZP [24]. The mechanisms of antimicrobial action for graphene oxide and graphite are less clear [4] but these may either interact with TZP reducing effectiveness or prevent uptake of TZP into the E. coli cell. Further work is necessary to confirm such interactions.

    This is the first report where graphene and derivates potentiate the activity of specific antibiotics (CIP, TZP and CHL) against representative examples of both Gram-positive and Gram-negative bacteria. Other studies have demonstrated the antibacterial activity of graphene conjugates [13],[14],[15] and this study builds upon these advances by determining the potential for antibiotic-graphene synergistic activity. This may help inform future rational drug design, such as the addition of graphene to CIP for use against E. faecium, K. pneumoniae or E. coli. Using combination therapy where the antimicrobial agents have significantly different antibacterial mechanisms of activity may help reduce the risk of resistance evolution [11],[22] and provide valuable solutions to treat the most serious of antibiotic resistant infections.



    Conflict of interest



    The authors declare no conflict of interest.

    [1] Steglitz J, Buscemi J, Ferguson MJ (2012) The future of pain research, education, and treatment: A summary of the IOM report "Relieving pain in America: A blueprint for transforming prevention, care, education, and research". Transl Behav Med 2: 6–8. doi: 10.1007/s13142-012-0110-2
    [2] Latina R, De Marinis MG, Giordano F, et al. (2019) Epidemiology of chronic pain in the Latium region, Italy: A cross-sectional study on the clinical characteristics of patients attending pain clinics. Pain Manag Nurs 20: 373–281. doi: 10.1016/j.pmn.2019.01.005
    [3] Guy GP, Zhang K, Bohm MK, et al. (2017) Vital signs: Changes in opioid prescribing in the United States, 2006–2015. MMWR Morb Mortal Wkly Rep 66: 697–704. doi: 10.15585/mmwr.mm6626a4
    [4] Lee M, Silverman SM, Hansen H, et al. (2011) A comprehensive review of opioid-induced hyperalgesia. Pain Physician 14: 145–161.
    [5] Chu LF, Angst MS, Clark D (2008) Opioid-induced hyperalgesia in humans: Molecular mechanisms and clinical considerations. Clin J Pain 24: 479–496. doi: 10.1097/AJP.0b013e31816b2f43
    [6] Volkow ND, McLellan TA (2011) Curtailing diversion and abuse of opioid analgesics without jeopardizing pain treatment. JAMA 305: 1346–1347. doi: 10.1001/jama.2011.369
    [7] Von Korff M, Kolodny A, Deyo RA, et al. (2011) Long-term opioid therapy reconsidered. Ann Intern Med 155: 325–328. doi: 10.7326/0003-4819-155-5-201109060-00011
    [8] Sullivan MD, Von Korff M, Banta-Green C, et al. (2010) Problems and concerns of patients receiving chronic opioid therapy for chronic non-cancer pain. Pain 149: 345–353. doi: 10.1016/j.pain.2010.02.037
    [9] CDC (2017) Wide-ranging online data for epidemiologic research. Atlanta, GA: CDC, National Center for Health Statistics.
    [10] Dowell D, Haegerich TM, Chou R (2016) CDC guideline for prescribing opioids for chronic pain-United States, 2016. MMWR Recommendations and reports: Morbidity and mortality weekly report Recommendations and reports 65: 1–49.
    [11] Vivolo-Kantor AM, Seth PR, Gladden M, et al. (2018) Vital signs: Trends in emergency department visits for suspected opioid overdoses-United States, July 2016–September 2017. MMWR Morb Mortal Wkly Rep 67: 279–285. doi: 10.15585/mmwr.mm6709e1
    [12] Goodman CW, Brett AS (2017) Gabapentin and pregabalin for pain-is increased prescribing a cause for concern? New Engl J Med 377: 411–414. doi: 10.1056/NEJMp1704633
    [13] Stanos S (2012) Focused review of interdisciplinary pain rehabilitation programs for chronic pain management. Curr Pain Headache R 16: 147–152. doi: 10.1007/s11916-012-0252-4
    [14] Schatman ME (2015) The American chronic pain crisis and the media: about time to get it right? J Pain Res 8: 885–887.
    [15] Gatchel RJ, McGeary DD, McGeary CA, et al. (2014) Interdisciplinary chronic pain management: past, present, and future. Am Psychol 69: 119–130. doi: 10.1037/a0035514
    [16] Ferreira KS, Oliver GZ, Thomaz DC, et al. (2016) Cognitive deficits in chronic pain patients, in a brief screening test, are independent of comorbidities and medication use. Arq Neuro-psiquiat 74: 361–366. doi: 10.1590/0004-282X20160071
    [17] Sjogren P, Christrup LL, Petersen MA, et al. (2005) Neuropsychological assessment of chronic non-malignant pain patients treated in a multidisciplinary pain centre. Eur J Pain 9: 453–462. doi: 10.1016/j.ejpain.2004.10.005
    [18] Nadar MS, Jasem Z, Manee FS (2016) The Cognitive Functions in Adults with Chronic Pain: A Comparative Study. Pain Res Manag 2016: 5719380.
    [19] Moore DJ, Keogh E, Eccleston C (2012) The interruptive effect of pain on attention. Q J Exp Psychol 65: 565–586. doi: 10.1080/17470218.2011.626865
    [20] Marco CA, Mann D, Rasp J, et al. (2018) Effects of opioid medications on cognitive skills among Emergency Department patients. Am J Emerg Med 36: 1009–1013. doi: 10.1016/j.ajem.2017.11.017
    [21] Copersino ML, Schretlen DJ, Fitzmaurice GM, et al. (2012) Effects of cognitive impairment on substance abuse treatment attendance: predictive validation of a brief cognitive screening measure. Am J Drug Alcoh Abuse 38: 246–250. doi: 10.3109/00952990.2012.670866
    [22] Snyder D (1992) Pain: Clinical manual for nursing practice. Cancer Nurs 15: 211–212.
    [23] Farrar JT, Young JP, LaMoreaux L, et al. (2001) Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain 94: 149–158. doi: 10.1016/S0304-3959(01)00349-9
    [24] Ware JE, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30: 473–483.
    [25] Ware JE, Snow KK, Kosinski M, et al. (1993) SF-36 Health Survey: Manual and Interpretation Guide. Boston, MA The Health Institute, New England Medical Center.
    [26] McHorney CA, Ware JE, Raczek AE (1993) The MOS 36-Item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care 31: 247–263.
    [27] Radloff LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psych Meas 1: 385–401. doi: 10.1177/014662167700100306
    [28] Sullivan MJL, Thorn B, Haythornthwaite JA, et al. (2001) Theoretical perspectives on the relation between catastrophizing and pain. Clin J Pain 17: 52–64. doi: 10.1097/00002508-200103000-00008
    [29] Sullivan MJL, Bishop SR, Pivik J (1995) The pain catastrophizing scale: Development and validation. Psychol Assessment 4: 524–553.
    [30] Sullivan MJL (2009) The pain catastrophizing scale-user manual. Available from: https://sullivan-painresearch.mcgill.ca/pdf/pcs/PCSManual_English.pdf
    [31] Carswell A, McColl MA, Baptiste S, et al. (2004) The Canadian occupational performance measure: A research and clinical literature review. Can J Occup Ther 71: 210–222. doi: 10.1177/000841740407100406
    [32] McColl MA, Law M, Baptiste S, et al. (2005) Targeted applications of the Canadian occupational performance measure. Can J Occup Ther 72: 298–300. doi: 10.1177/000841740507200506
    [33] Larsen AE, Carlsson G (2012) Utility of the Canadian occupational performance measure as an admission and outcome measure in interdisciplinary community-based geriatric rehabilitation. Scand J Occup Ther 19: 204–213. doi: 10.3109/11038128.2011.574151
    [34] McColl MA, Paterson M, Davies D, et al. (2000) Validity and community utility of the Canadian occupational performance measure. Can J Occup Ther 67: 22–30. doi: 10.1177/000841740006700105
    [35] Cooper KH (1968) A means of assessing maximal oxygen intake. Correlation between field and treadmill testing. JAMA 203: 201–204.
    [36] Enright PL, McBurnie MA, Bittner V, et al. (2003) The 6-min walk test-A quick measure of functional status in elderly adults. Chest 123: 387–398. doi: 10.1378/chest.123.2.387
    [37] Sletten CD, Kurklinsky S, Chinburapa V, et al. (2015) Economic analysis of a comprehensive pain rehabilitation program: a collaboration between Florida Blue and Mayo Clinic Florida. Pain Med 16: 898–904. doi: 10.1111/pme.12679
    [38] Kurklinsky S, Perez RB, Lacayo ER, et al. (2016) The efficacy of interdisciplinary rehabilitation for improving function in people with chronic pain. Pain Res Treat 2016: 7217684.
    [39] Perera S, Mody SH, Woodman RC, et al. (2006) Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc 54: 743–749. doi: 10.1111/j.1532-5415.2006.00701.x
    [40] Angst F, Aeschlimann A, Stucki G (2001) Smallest detectable and minimal clinically important differences of rehabilitation intervention with their implications for required sample sizes using WOMAC and SF-36 quality of life measurement instruments in patients with osteoarthritis of the lower extremities. Arthritis Rheum 45: 384–391. doi: 10.1002/1529-0131(200108)45:4<384::AID-ART352>3.0.CO;2-0
    [41] Walters SJ, Munro JF, Brazier JE (2001) Using the SF-36 with older adults: A cross-sectional community-based survey. Age Ageing 30: 337–343. doi: 10.1093/ageing/30.4.337
    [42] Townsend CO, Kerkvliet JL, Bruce BK, et al. (2008) A longitudinal study of the efficacy of a comprehensive pain rehabilitation program with opioid withdrawal: comparison of treatment outcomes based on opioid use status at admission. Pain 140: 177–189. doi: 10.1016/j.pain.2008.08.005
    [43] Darchuk KM, Townsend CO, Rome JD, et al. (2010) Longitudinal treatment outcomes for geriatric patients with chronic non-cancer pain at an interdisciplinary pain rehabilitation program. Pain Med 11: 1352–1364. doi: 10.1111/j.1526-4637.2010.00937.x
  • This article has been cited by:

    1. Anthony J. Slate, Nathalie Karaky, Grace S. Crowther, Jonathan A. Butler, Craig E. Banks, Andrew J. McBain, Kathryn A. Whitehead, Graphene Matrices as Carriers for Metal Ions against Antibiotic Susceptible and Resistant Bacterial Pathogens, 2021, 11, 2079-6412, 352, 10.3390/coatings11030352
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4756) PDF downloads(568) Cited by(0)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog