| Literature DB >> 23357964 |
Brittany N Rosenbloom1, Sobia Khan, Colin McCartney, Joel Katz.
Abstract
BACKGROUND: Persistent pain and psychological distress are common after traumatic musculoskeletal injury (TMsI). Individuals sustaining a TMsI are often young, do not recover quickly, and place a large economic burden on society.Entities:
Keywords: injury severity; musculoskeletal; pain intensity; persistent pain; psychological outcomes; risk and protective factors; systematic review; traumatic injury
Year: 2013 PMID: 23357964 PMCID: PMC3555553 DOI: 10.2147/JPR.S38878
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Figure 1Combined shared vulnerability and mutual maintenance model of disability in the context of traumatic injury.
Notes: The model depicts the influence that preexisting factors including psychological (eg, anxiety sensitivity) and biological (eg, low threshold for startle response) vulnerabilities and concurrent disease have on traumatic injury and subsequently the mutual maintenance of posttraumatic stress symptoms and pain in the development of persistent pain disability. Single-headed arrows indicate the direction of a temporal relationship between factors; double-headed arrows indicate some of the possible association between factors; not all possible relationships are shown.
Variables extracted from articles included in the present review
| Variable information extracted |
|---|
| Patient characteristics |
| Sample size |
| Injury severity scale scores |
| Hospital length of stay |
| Pain intensity |
| Pain duration |
| Pain frequency |
| Injury type |
| Injury mechanisms |
| Predictive factors for persistent pain |
| Pain outcome measures used to determine pain intensity or incidence |
| Other variables assessed, ie, anxiety (posttraumatic stress disorder), depression, that are associated with, or predict the development of, persistent pain |
Abbreviation: ISS, Injury Severity Scale; LOS, Length of stay; PTSD, Posttraumatic Stress Disorder.
Figure 2Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram showing details of the studies included and excluded in the current review.
Abbreviation: PTSD, posttraumatic stress disorder.
Demographic characteristics from each of the eleven studies included in the present review
| Author | Study location | Sample size (n, % male) | Age (mean, SD, range) | Length of stay, days (mean, SD) | ISS score (mean, SD, range) | Mechanism of injury (%) | Injury type (%) | Risk of bias |
|---|---|---|---|---|---|---|---|---|
| Aitken et al | Queensland, Australia | 194 (66% male) | 39 (range 29–56) | 8.5 (range 5–15) | 9 (range 5–14) | 42% MVA; 32% falls; 11% collisions; 15% other | 50% LE; 18% UE; 12% thorax; 11% head, face, and neck; 5% spine; and 4% pelvis/abdomen | 22 |
| Castillo et al | Texas, USA | 397 | NR | NR | NR | NR | 19.6% salvage tibia fractures; 28.7% articular fractures; 11.1% foot fractures; 13.8% soft tissue injuries; 1.7% foot amputations; 16.8% below knee amputations; 3.7% through knee amputations; 7.0% above knee amputations | 21 |
| Clay et al | Victoria, Australia | 150 | 37.7 (range 18–62) | NR | 88 participants with minor injuries (ISS 1–8), 69 with moderate injuries (ISS 9–15), and 11 with major injuries (ISS > 16) | 66.6% MVA or during employment | 3.6% spinal injuries only; 24.4% isolated LE injury; 19.6% isolated UE injuries; 17.8% multiple LE injuries; 5.4% multiple UE injuries 18.4% ORTHO injuries – multiple regions; 10.7% ORTHO and other injuries | 23 |
| Holmes et al | Melbourne, Australia | 290 (75.9% male) | NR | 10.8 (10.0) | 12.3 (SD = 8.5) | 57.6% MVA; 12.4% falls; 6.2% assaults | Injuries occurred predominantly in the extremities and chest | 21 |
| Jenewein et al | Zurich, Switzerland | 90 | 41.9 (SD = 13.2) | NR | NR | 58.9% MVA; 21.1% sports and leisure-time accidents; 14.4% during employment; 5.6% household accidents | NR | 23 |
| Mayou and Bryant | Oxford, UK | 507 (55% male) | Range 17–69; 596 were under the age of 30; 552 were over the age of 30 | Not admitted or no injury = 905; admitted 1–2 nights = 137; admitted 3+ nights = 106 | Range 0–19 (n = 216 over 4) | 52% MVA – driver; 21% MVA – passenger; 12% motorcyclist; 11% cyclist; 4% pedestrian | NR | 18 |
| Mayou and Bryant | Oxford, UK | 1148 (55% male) | 596 were under the age of 30; 552 were over the age of 30 | Not admitted or no injury = 905; admitted 1–2 nights = 137; admitted 3+ nights = 106 | Range 0–19 (n = 216 over 4) | 52% MVA – driver; 21% MVA – passenger; 12% motorcyclist; 11% cyclist; 4% pedestrian | NR | 18 |
| Michaels et al | USA | 165 (67% male) | 37.2 (SD = 1.1) | 9.6 (0.9) | 14.4 (SD = 0.6) | NR | 61% ORTHO injury; 66% multiple ORTHO injuries; 62% had LE ORTHO injuries | 22 |
| Norman et al | California, USA | 115 (63% male) | 36 | NR | NR | 66% MVA; 5% burns; 6% falls; 4% occupational injuries; 3% recreational injuries (eg, jet skiing); 10% stab wounds; 10% gunshot wounds; 3% assault | NR | 18 |
| Sanders et al | London, Canada | 40 (85% male) | 29 (range 17–65) | NR | NR | 72.5% MVA; 10% recreational/sports injuries; 17.5% falls | Isolated diaphyseal fractures of the femur | 18 |
| Williamson et al | Australia | 1290 (61% male) | Range 14–95 | 7 (range 3–13) | ISS was reported in lump above 15 and below 15 in an odds ratio analysis | 52% MVA; 34% falls; 1.5% horse-related activities; 0.2% firearms injuries; 18% household injuries | 24% isolated LE injuries; 7.9% isolated UE; 9.5% multiple LE injuries; 3.7% multiple UE injuries; 5.0% spinal injuries; 5.6% multiple ORTHO injuries; 44% ORTHO and other injuries | 21 |
Abbreviations: ISS, Injury Severity Scale; LE, lower extremity; MVA, motor vehicle accident; NR, not reported; ORTHO, orthopedic injury; SD, standard deviation; UE, upper extremity.
Pain incidence and intensity at various times reported by the eleven articles included in the present review
| Time postinjury | Study | Analgesic medication use (% patients) | Pain measure used | Pain incidence (% patients) | Pain score/intensity |
|---|---|---|---|---|---|
| Initial assessment (during hospitalization or at discharge) | Williamson et al | NR | NRS | 48% (n = 619, 95% CI: 45–51) | Moderate to severe |
| Norman et al | NR | VAS | NR | Mean 5.64 (SD = 2.46) | |
| MPQ | NR | Mean 14.11 (SD = 10.15) | |||
| Michaels et al | NR | SF-36: bodily pain (answers standardized on a 100-point scale) | NR | 81.8 (non-ORTHO patients); 80.9 (ORTHO patients) | |
| Clay et al | NR | MPQ | 77% | NR | |
| 3–4 months | Mayou and Bryant | NR | SF-6: bodily pain | 28% (n = 238) | Moderate, severe, or very severe pain |
| Clay et al | NR | MPQ | 65% (n = 137) | NR | |
| Norman et al | NR | VAS | NR | Mean 1.85 (SD = 2.62) | |
| MPQ | NR | Mean 2.86 (SD = 4.65) | |||
| Castillo et al | 16.9% | VAS | 71.8% | NR | |
| Holmes | NR | NRS | 86% (16% of which reported a level of pain at 5 or more) | Mean pain score 2.4 (SD = 2.1) | |
| Aitken et al | NR | SF-36 | 93% (n = 113) | NR | |
| 6 months | Williamson et al | NR | NRS | 30% (n = 387, 95% CI: 28–33) | |
| Clay et al | NR | MPQ | 54% (n = 81) (56.7% of which had moderate to high pain severity) | NR | |
| Michaels et al | NR | SF-36: bodily pain (answers standardized on a 100-point scale) | NR | 56.2 (non-ORTHO patients); 44.6 (ORTHO patients) | |
| 8 months | Sanders et al | NR | VAS | NR | Mean 3.8 (SD = 2.9) |
| WOMAC | Mean 1.92 (SD = 4.02) | ||||
| Norman et al | 10 | VAS | NR | Mean 1.57 (SD = 2.65) | |
| MPQ | NR | Mean 1.92 (SD = 4.02) | |||
| 12 months | Mayou and Bryant | NR | SF-6: bodily pain | 22% (n = 171) | Moderate, severe, or very severe pain |
| Michaels et al | Increased use of sedatives (20% of ORTHO vs 4% of non-ORTHO patients) and analgesics (30% of ORTHO vs 4% of non-ORTHO patients) | SF-36: bodily pain | NR | 79.0 (non-ORTHO patients); 66.5 (ORTHO patients) | |
| 36 months | Mayou and Bryant | NR | SF-6: bodily pain | 21% (n = 104) | NR |
| Jenewein et al | 12.2% (n = 11) of all patients; 27.5% (n = 11) of patients who reported pain | Yes/no question on whether the patient had pain related to their trauma | 44% (n = 40) | NR | |
| 84 months | Castillo et al | 15% of patients treated with analgesics at 3 months had CPG level IV at 84 months versus 30% of these patients who were treated without analgesics ( | Graded chronic pain questionnaire | 77.1% | NR |
Note:
Clay et al assessed pain at 2 weeks following traumatic injury.36
Abbreviations: CI, confidence interval; CPG, chronic pain grades; MPQ, McGill Pain Questionnaire; NR, not reported; ORTHO, orthopedic injury; NRS, numeric rating scale; SF-6/36, Short Form 6/36; SD, standard deviation; VAS, visual analog scale; WOMAC, Western Ontario and McMaster Universities Arthritis.
Risk factors for persistent pain postinjury
| Study | Statistical analysis | Predicting to time point | Risk factors for pain presence | Protective factors against pain presence |
|---|---|---|---|---|
| Castillo et al | Multivariate regression model | 84 months |
Pain intensity at 3 months (pain intensity of 3–4 [ Anxiety and depression scales of the Brief Symptom Inventory (moderate [ Sleep and rest score of the Sickness Impact Profile (score 18+ [ Preinjury alcohol consumption (2+ drinks per day [ |
Education (high-school [ Self-efficacy for return to usual major activities (high self-efficacy [ Narcotic pain treatment at 3 months postinjury (narcotics [ |
| Clay et al | Multivariate binary logistic regression | 6 months | Pain presence
High initial pain (AOR: 6.6 [2.43–18.20]) Symptoms associated with psychological distress (AOR: 7.8 [2.86–21.50]) External attributions of responsibility for the injury (AOR: 3.1 [1.08–8.88]) Being injured at work (AOR: 3.3 [1.06–10.50]) Lower extremity injury (AOR: 3.3 [1.34–8.51]) High pain intensity (AOR: 2.9 [1.20–4.21]) Symptoms of psychological distress (AOR: 3.3 [1.40–8.10]) External attributions of responsibility (AOR: 5.0 [1.81–14.4]) Being injured at work (AOR: 3.2 [1.12–9.45]) Presence of a fracture (AOR: 3.8 [1.01–14.8]) Increasing age (AOR: 1.05 [1.01–1.09]) | N/A |
| Holmes et al | Regression | 3 months |
Age (0.18, CI: 0.92–5.35, Past alcohol dependence (0.20, CI: 0.77–3.07, Physical role function (−0.13, CI: 0.21 to −0.010, Pain severity at assessment (0.24, CI: 0.10 to −0.33, Morphine equivalents administered on the day of assessment (0.13, CI: 0.0001–0.011, Decreased pain control attitudes (−0.14, CI: −0.30 to −0.027, | N/A |
| Mayou and Bryant | Logistic regression | 36 months | Cognitive avoidance of distressing thoughts and claiming compensation at 3 months were significant | N/A |
| Williamson et al | Backward stepwise logistic regression model | 6 months |
Did not complete high school (AOR: 1.5 [1.1–1.9], Reported pain-related disability in the week before injury (AOR: 1.8 [1.3–2.5], Eligible for compensation (AOR: 2.1 [1.6–2.8], Reported moderate or severe pain (numeric rating scale 5–10) at discharge (AOR: 2.4 [1.8–3.1], | N/A |
Note:
No numerical values reported.
Abbreviations: AOR, adjusted odds ratio; BSI, Brief Symptom Inventory; CI, confidence interval; N/A, not applicable, NRS, Numeric Rating Scale; SIP, Sickness Impact Profile.
Road map for future studies assessing the development of persistent pain following traumatic musculoskeletal injury
| Study design
Prospective, longitudinal. Initial assessment of all variables should be as close to time of injury as possible. Multiple assessment time points for examining change in pain. Assessments should correspond to medical and psychological diagnoses, eg, orthopedic healing (3 months), persistent pain (2 months), and posttraumatic stress disorder (1 month), following date of injury. Participant samples should be clearly described in terms of ○ Age (mean, range, standard deviation). ○ Mechanism of injury (eg, motor vehicle accident, fall). ○ Injury type (eg, upper or lower extremity injury, single or multiple injury). Sample size should be adequate to have enough power to include all variables being studied in, for example, a logistic regression or hierarchical regression analysis. Attrition rates and missing data at each assessment interval. Follow Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) guidelines for comprehensive measures of pain. Measure the type, amount, and frequency of pain interventions at every pain assessment interval. These may include, but are not limited to, pharmacological interventions (eg, opioid use, nonsteroidal antiinflammatory medications, acetaminophen), psychological (eg, cognitive behavioral therapy, acceptance and commitment therapy), and physical (eg, physiotherapy, ice/heat, massage). Pain disability or pain interference must be measured using a reliable, validated measure. Means, standard deviations, and confidence intervals for all variables, where possible. Odds ratios (relative risk) and confidence intervals for all models. All other assessment tools should be well validated and appropriate for assessment among participants who have experienced a traumatic musculoskeletal injury. Assessments should be conducted at the time of the initial assessment and at more than one follow-up time point. |