Journal of Rehabilitation Medicine 51-7 | Page 38

Pain and social integration after spinal cord injury METHODS Study design and population The study was designed as an observational, non-interventional, cross-sectional survey. Inclusion criteria were: age at least 18 years; diagnosis of traumatic SCI at least 3 months prior to enrolment in the study; being treated at the Department of Re- habilitated Medicine, and Department of Orthopedic Surgery, the First Affiliated Hospital of Chongqing Medical University as inpatients or outpatients from 2012 to 2017. Participants with neurological function restored normally at the time of follow-up were excluded. A final total of 318 individuals (242 males and 76 females; mean age 41 years) were included. Procedures The data used in this study required no extra clinical tests, or treatments than those given regularly. The cross-sectional study was approved by the local ethics committee, in accordance with the Declaration of Helsinki, and all participants (or their legal representatives) gave signed informed consent for the collection, storage and analysis of the data, with guarantees of confidentiality. Demographic and clinical characteristics were collected at either initial hospitalization or follow-up. Data on impairment level, sex, race, and educational status were collected at initial hospitalization. Data on pain and social integration were collec- ted either during face-to-face follow-up or during a subsequent following phone interview. Data collection Demographic characteristics recorded included age, sex, educa- tional status, mobility status, employment status and relationship status. SCI characteristics recorded included mechanism of injury, time since injury, neurological level of injury, and Ame- rican Spinal Injury Association Impairment Scale (AIS) grade. Participants were asked about chronic pain, defined as con- tinuous or daily recurring pain that had been present for > 3 months. Participants with chronic pain rated their mean pain intensity using the 0–10 numerical rating scale. Pain intensity scores of 0–3 were classified as mild, 4–6 as moderate, and 7 or more as severe. Participants rated the extent to which overall pain interfered with functioning within 7 domains: general activity, mobility, normal work, relations with others, mood, enjoyment of life, and sleep, on a numerical rating scale ranging from 0 (no inter- ference) to 10 (extreme interference) using the modified Brief Pain Inventory (BPI) (7, 12). The BPI total interference score was calculated as the mean of the 7 domains; the BPI activity interference score was calculated as the mean of the following items: general activity, mobility and work; and the BPI affective interference score was calculated as the mean of the following items: mood, relationships and enjoyment of life, while sleep was assessed separately (13). The 7-item Douleur Neuropathique 4 Questions (DN4) questionnaire was used to record whether the reported pain was neuropathic in presentation (14). The selection of at least 3 of the 7 pain descriptors (burning, painful cold, electric shocks, tingling, pins and needles, numbness, and itching) is suggestive of neuropathic pain (NP) (15). Social integration was measured with the Social Integration Index from the Craig Handicap Assessment Reporting Technique (CHART) (16). However, the current information society is sig- nificantly different from when the CHART was published. Social 507 integration scores were modified by changing once a month into once every 2 weeks. The CHART social integration index is a 6-domain instrument that is commonly used to quantify the effects of injuries and other conditions on activities of daily living. Each domain is scored on a 100-point scale, with a score of 100 repre- senting a level of performance typical of a non-disabled person. The CHART Social Integration Index was skewed, with 77% of participants having a score of 80–100. The classification method of Roach MJ was used, through which the index was transformed into a 3-category social integration measure (low 0–50; medium 51–79; high 80–100) (17). This categorization was based on the distribution of CHART scores. At scores of 51 and 80, there was observable separation of participants, and therefore these scores were used as categorization cut-off points. Statistical analysis Participant characteristics were reported using descriptive sta- tistics. Continuous variables were expressed as means (standard deviations (SD)) and categorical variables as numbers and per- centages. Comparison of categorical variables (pain locations, pain descriptors, pain intensity category in SCI individuals with nociceptive and NP) were conducted using the χ 2 test or Fisher’s exact test, as appropriate. Numerical data (BPI interference score between nociceptive pain and NP) were analysed using an unpaired t-test or the Mann–Whitney U test, as appropriate. For comparisons of CHART social integration scores between 3 groups (participants with no pain, NP, and nociceptive pain) 1-way analysis of variance (ANOVA) was used with Bonferroni multiple comparison tests to analyse the differences in CHART social integration scores outcome. Binary logistic regression, Spearman’s correlations and linear regression was used to analyse the factors associated with different pain types and the relationships between pain and social integration measures. Data were analysed using IBM® SPSS® statistics software, version 24 (IBM SPSS Statistics for Mac, version 24.0., IBM Corp., Armonk, NY, USA). A p-value < 0.05 was considered statistically significant. Statement of ethics The authors certify that all applicable institutional and go- vernmental regulations concerning the ethical use of human volunteers were followed during the course of this research. The ethics committee of the First Affiliated Hospital of Chongqing Medical University approved the study (2018019). RESULTS Patient characteristics Of 403 individuals with SCI who were screened, 351 were recruited and contacted. A total of 318 surveys were completed and returned (response rate 91%). The age range was 19–77 years, mean age 41 years (SD 13); 242 participants (76%) were male, and 76 (24%) were female. The most common causes of traumatic SCI were other traumatic (composed mainly of collision with falling objects and being crushed by heavy objects) in 126 (40%), followed by falls (35%) and motor vehicle accidents (20%). Most injuries were reported as incomplete. The most common neurologi- J Rehabil Med 51, 2019