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Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_17 | Pages 2 - 2
1 Apr 2013
Campbell P Bishop A Dunn K Main C Thomas E Foster N
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Background. A wide array of measures has been developed to assess the role of psychological factors in the development and persistence of pain. Yet there is likely to be considerable conceptual overlap between such measures, and consequently a lack of clarity about the importance of psychological factors. Purpose. To investigate whether conceptual overlap exists within psychological measures used in back pain research. Methods. An observational cohort study of 1591 back pain primary care consulters provided data on anxiety, depression, self-efficacy, coping, illness perceptions, fear avoidance and catastrophising. Exploratory and confirmatory factor analysis (EFA and CFA) was carried out at the sub-scale level (n=20) to investigate factor structure. Derived factors were then tested using hierarchical linear regression in relation to clinical outcomes (pain intensity and disability). Results. EFA derived 4 factors from the sub-scale measures. Factors were termed ‘distress’ (comprising depression, anxiety, pain self-efficacy, fear avoidance, catastrophising), ‘cognitive’ (cognitive coping strategies), ‘causes’ (psychological, immunity, risk factors) and ‘future’ (expectancies of potential treatment and recovery), and accounted for 65.5% of the data. CFA confirmed the validity of these factors. The distress factor was found to have the strongest association with patients' outcomes, accounting for 28.7% of the variance in pain intensity, and 53.6% in disability. Conclusion. Considerable overlap exists in psychological measures used in back pain research. Most measures tap in to patients' emotional distress; this factor was shown to have the greatest association with clinical outcomes. These findings have implications for the way psychological measures are used in back pain research. No conflicts of interest. Source of funding: Programme Grant awarded by the Arthritis Research UK [13413] and Dr KM Dunn's Wellcome Trust Grant [083572]. This abstract has not been previously published in whole or substantial part nor has it been presented previously at a national meeting


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_4 | Pages 35 - 35
1 Apr 2018
Mehaffey S Katharina H Brosel S Pfeufer D Saller M Neuerburg C Böcker W Kammerlander C Prokisch H Klopstock T Elstner M
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With around 20–40% of our bodyweight, skeletal muscles are the biggest organ complex of the human body. Being a metabolic active tissue, muscle mass, function and fibertype composition is highly regulated in a tight spatial-temporal manner. In geriatric patients, it is essentially important to understand the underlying mechanisms of the age related losses of fiber size and total number of fibers, as well as fibertype shifting. To date, there have been few studies dealing with gene expression profiling of skeletal muscles, mostly focusing on age related differences in whole-muscle specimen. Being carried out on mouse or rat limb muscles, most other studies do not represent the conditions of human muscle, due to the differences in fibertype composition. Our study provides a fibertype-specific approach for whole-genome expression analysis in human skeletal muscle. 22 fresh frozen biceps brachii and quadriceps femoris muscle samples were acquired from the muscle bank of the Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany. Consecutive cross-sections were used for immunohistochemical myosine-heavy-chain-staining and individual fibers were acquired by laser-capture-microdissection. Around 100 cells of each fibertype of each biopsy were dissected, reversely transcribed, pre-amplified and labeled for microarray analysis. Fiber type-specific gene expression was analyzed with ANOVA. Correction for multiple testing was performed using the Benjamini-Hochberg procedure with a conservative threshold and the pathway analysis was carried out using the Ingenuity Pathway Analysis program (QIAGEN). By comparing type I vs. type IIa, type I vs. type IIx and type IIa vs. type IIx, we could identify 2855, 2865 and 510 differentially expressed genes. As expected, many differentially regulated genes belong to functional groups like cytoskeleton, muscle contraction and energy metabolism, proving the feasibility of our study. However, many genes that are involved in the response to oxidative stress were also differently regulated, showing distinct mechanisms of the different fiber types, of coping with oxidative stress. In consensus with available literature, the relative proportion of type I fibers seemed to increase with age. Despite higher levels of oxidative stress, type I fibers seem to have more efficient antioxidative mechanisms in comparison to type IIa and IIx fibers, which might explain the higher vulnerability of members of the type II family to oxidative stress. Furthermore, genes that are involved in fibertype specification were also regulated differently. However, we could not verify an age-specific activation of pathways involved in fibertype shifting. Whether fibertype shifting is solely due to disproportionate loss of type II fibers, or also in vivo - transdifferentiation of fibers, has to be investigated further


Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_8 | Pages 33 - 33
1 Apr 2017
Barlow T Griffin D Scott P Realpe A
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Background. Knee replacement surgery is currently facing three dilemmas: a high dissatisfaction rate; increasing demand with financial constraints; and variation in utilisation. A patient centred approach, usually achieved through shared decision-making, has the potential to help address these dilemmas. However, such an approach requires an understanding of the factors involved in patient decision-making. This is the first study examining decision-making in knee replacements that includes patients at different stages of decision-making – this is critical when considering decision-making as a process. We base our findings in a theoretical model, proposed by Elwyn et al, that highlights the distinction between deliberation and decision-making, and propose modifications to this model specific to knee replacement decision-making. Methods. This study used two focus groups of six patients each and in-depth interviews with 10 patients to examine the factors that affect patient decision-making and their interaction at different points in the decision-making process. A qualitative analysis of themes, based on a constant comparative method, is used to analyse the data. This study was approved by the Dyfed Powys Research Ethics Committee (13/WA/0140). Results. We describe 10 themes that affect patient deliberation over the decision: decision-making style; coping strategies; expectation of outcome; decision-making stress; personal situation; preferred model of care; trust in doctor; sources of information; mental state; and loss of control. We add to Elwyn's model by demonstrating the boundary between deliberation and decision-making is the decision-making threshold. Conclusion. This study provides increased detail on a theoretical model that can be used to describe decision-making, and an understanding of the factors that affect decision-making for patients considering knee replacement. Such an understanding will aid patient centred care, and has particular relevance in developing interventions aimed at delivering information. This is likely to affect the satisfaction rate, demand, and utilisation of knee replacements. Level of evidence. 4


Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_17 | Pages 1 - 1
1 Apr 2013
Campbell P Foster N Thomas E Dunn K
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Background. People with back pain often experience long-term pain with recurrences and fluctuations. However, few studies have considered which factors predict long-term outcomes. Purpose. To determine the prognostic factors, measured around the time of a primary care back pain consultation, that predict clinically significant pain in both the short (6 months) and long-term (5 years). Methods. Back pain consulters at 8 GP practices received a questionnaire shortly after consultation. Information was collected on potential prognostic factors: demographics (age, gender, educational, social class), physical (pain, disability, pain duration, distal leg pain), psychological (illness perceptions, coping, fear avoidance, pain self-efficacy, depression, anxiety) and occupational (work status). Patients were followed-up by postal questionnaire 6 months and 5 years later. The Chronic Pain Grade was used to define clinically significant pain at outcome. Results. Baseline pain intensity (Relative Risk (RR) 1.12, 95% CI 1.03, 1.20) and a strong patient belief that their LBP would last a long time (RR 1.04, 95% CI 1.01, 1.07) predicted outcome at 6 months. Outcome at 5 years was best predicted by a similar model: pain intensity (RR 1.09, 95% CI 0.997, 1.20) and a strong belief that their back pain would persist (RR 1.06, 95% CI 1.03, 1.09). Conclusion. Pain intensity and a belief by the patient that their back pain will last a long time predicted clinically significant pain in both the short and long-term. Both predictors have the potential for clinical intervention at the consultation stage. No conflicts of interest. Source of funding: The baseline and 6-month follow-up phases of this study was supported financially by a Programme Grant awarded by the Arthritis Research UK [13413] and the 5-year follow-up phase was completed as part of Dr KM Dunn's Wellcome Trust Grant [083572]. This abstract has not been previously published in whole or substantial part nor has it been presented previously at a national meeting