Pre-injury Health Status Research Articles

Pre-injury health status of major trauma patients with orthopaedic injuries

BackgroundPre-injury health status is an important determining factor of long-term outcomes after orthopaedic major trauma. Determining pre-injury health status of major trauma patients with orthopaedic injuries is also important for evaluating the change from pre to post-injury health status. ObjectivesDescribe pre-injury health statuses reported at three different time points (6, 12 and 24 months) after injury and compare these with Australian normative values; determine the agreement between pre-injury health status collected at multiple time points post-injury; and identify factors associated with reporting better pre-injury health status. Materials and MethodsA registry-based cohort study was conducted. Major trauma patients with orthopaedic injuries captured by the Victorian State Trauma Registry with a date of injury from January 2009 to December 2016 were included. Pre-injury health status (measured using the EuroQol-Visual Analogue Scale (EQ-VAS)), reported 6, 12 and 24 months post-injury, was compared against Australian population normative values. The Bland-Altman method of comparison was used to determine the agreement between pre-injury EQ-VAS scores reported 6 to 12 and 6 to 24 months post-injury. Mixed effects ordinal logistic regression was used to determine factors associated with reporting better pre-injury health status. ResultsA total of 3,371 patients were eligible for the study. The median (IQR) pre-injury EQ-VAS score reported 6, 12 and 24 months post-injury was 90 (85–100) out of 100. Participants’ pre-injury EQ-VAS scores reported 6, 12 and 24 months post-injury were significantly higher than Australian population normative values. Pre-injury EQ-VAS scores reported 6 months post-injury agreed with pre-injury EQ-VAS scores reported 12 and 24 months post-injury. A significant association exists between pre-injury health status and age, comorbidities, injury characteristics, socioeconomic status and pre-injury work status. ConclusionsPeople with orthopaedic major trauma have better pre-injury health compared to the general Australian population. Therefore, population-specific values should be used as baseline measures to evaluate orthopaedic trauma outcomes. Pre-injury health status values reported at three different post-injury time points were comparable. If conducting a retrospective pre-injury health evaluation, researchers need be aware of factors that influence self-reporting of pre-injury health status and the response shift that may happen due to encountering injury.

Factors associated with physical, psychological and functional outcomes in adult trauma patients following Road Traffic Crash: A scoping literature review

ObjectiveRoad Traffic Crashes (RTCs) are a major cause of disability globally, with millions of people being injured or disabled each year. This study aims to identify the factors reported in the literature that are associated with physical, psychological and functional outcomes of adult trauma patients following an RTC. MethodsA scoping literature review was conducted. Peer-reviewed articles were retrieved from MEDLINE, EMBASE, and CINAHL. These databases were chosen as the MeSH and Emtree thesauri allow for high specificity searches. Moreover, these databases index the major biomedical/health journals in the field. ResultsThirty-one studies from 10 countries are reported in a PRISMA chart and summarized in a matrix. This review identified a number of factors that are clustered into six categories; (i.) injury characteristics and hospital predictive factors; (ii.) demographic factors; (iii.) family and social support; (iv.); compensation system process and fault in the RTC (v.); pre-injury health status. A final category was used to represent the range of (vi.) psychological and functional outcomes. ConclusionThese findings highlight the multiple and diverse contributors that influence a person's outcomes following an RTC. These factors are intrinsic and extrinsic and commence from the time of injury as well as highlighting the importance for ongoing support after acute care discharge to enable a quick return to optimal wellbeing. Research examining RTC outcomes must integrate information about the crash response and health care system while simultaneously measuring other factors to appropriately quantify the relative contribution of each variable to psychological and functional outcomes.

Comparison of pre-injury recalled Health Status (HS) data of trauma patients and HS of the general population

PurposeSignificant differences exist between retrospectively collected pre-injury Health Status (HS) of trauma patients and the HS of the general population. Compared to the general population, the trauma population includes a larger proportion of individuals with a low level of socio-economic status. The aim was to compare retrospectively collected pre-injury HS with HS of a sample of Dutch individuals not only adjusted for age and gender, but also for educational level. MethodsWithin three months post-trauma, pre-injury HS (n = 2987) was collected by using the EuroQol-five-dimension-3-level (EQ-5D-3L) questionnaire. Data were abstracted from the Brabant Injury Outcome Surveillance. The reference cohort (n = 1839) included a sample of the Dutch general population. Multiple regression was used to compare HS of both cohorts. ResultsA higher recalled pre-injury EQ-5D-3L score of the injury cohort was reported compared to the HS of the reference cohort after adjustment for age (β = 0.014 [95% CI: 0.001,0.027] for males and β = 0.018 [95% CI: −0.001, 0.036] for females). After adjustment for age and educational level, the Beta showed a ≥10% increasement: males; unadjusted β = 0.006 [95% CI: −0.007, 0.019] to β = 0.014 [95% CI: 0.001, 0.027] after age adjustment to β = 0.020 [95% CI: 0.007, 0.033] after adjustment for age and educational level, females; unadjusted β = −0.018 [95% CI: −0.035, −0.001] to β = 0.018 [95% CI: −0.001, 0.036] after age adjustments to β = 0.025 [95% CI: 0.007, 0.043] after adjustments for age and educational level. After adjustment for age, gender and educational level, the injury cohort reported prior to the trauma less problems on the ‘pain/discomfort’ (OR = 0.522 [95% CI: 0.454, 0.602]) and the ‘anxiety/depression’ (OR = 0.745 [95% CI: 0.619, 0.897]) dimensions, as compared to the reference cohort. In contrast, the injury cohort reported significantly more problems on the ‘self-care’ dimension (OR = 1.497 [95% CI: 0.1.112, 2.016]) prior to the trauma. ConclusionsInjured patients report better recalled pre-injury HS compared to the HS of the reference cohort. After adjustment for educational level, the difference in HS between the injury cohort and the reference cohort increases, underlining that other confounders might also influence HS.

Predicting health status in the first year after trauma.

Although mortality rates following major trauma are continuing to decline, a growing number of patients are experiencing long-term disability. The aim of this study was to identify factors associated with health status in the first year following trauma and develop prediction models based on a defined trauma population. The Brabant Injury Outcome Surveillance (BIOS) study was a multicentre prospective observational cohort study. Adult patients with traumatic injury were included from August 2015 to November 2016 if admitted to one of the hospitals of the Noord-Brabant region in the Netherlands. Outcome measures were EuroQol Five Dimensions 5D-3L (EQ-5D™ utility and visual analogue scale (VAS)) and Health Utilities Index (HUI) 2 and 3 scores 1 week and 1, 3, 6 and 12 months after injury. Prediction models were developed using linear mixed models, with patient characteristics, preinjury health status, injury severity and frailty as possible predictors. Predictors that were significant (P < 0·050) for one of the outcome measures were included in all models. Performance was assessed using explained variance (R2 ). In total, 4883 patients participated in the BIOS study (50·0 per cent of the total), of whom 3366 completed the preinjury questionnaires. Preinjury health status and frailty were the strongest predictors of health status during follow-up. Age, sex, educational level, severe head or face injury, severe torso injury, injury severity, Functional Capacity Index score, co-morbidity and duration of hospital stay were also relevant in the multivariable models predicting health status. R2 ranged from 35 per cent for EQ-VAS to 48 per cent for HUI 3. The most important predictors of health status in the first year after trauma in this population appeared to be preinjury health status and frailty.

Nutrition and Inflammation Influence 1-Year Mortality of Surgically Treated Elderly Intertrochanteric Fractures: A Prospective International Multicenter Case Series.

Introduction:Hip fracture is a common and devastating event in older adults causing increased dependence, comorbidity, and mortality. Since new surgical techniques have not significantly improved the mortality rate, a better understanding of patient risk factors could improve the treatment algorithm and outcomes. This prospective study aimed to document the 1-year survival rate of patients with intertrochanteric fracture treated surgically in Latin America and to investigate risk factors associated with 1-year mortality.Patients and Methods:Between January 2013 and March 2015, 199 patients were prospectively enrolled. Inclusion criteria were aged 60 years or older, isolated intertrochanteric fracture (AO/OTA 31-A), and time to surgery within 10 days after injury. The follow-up period was 1 year. The association between mortality and patient demographics, comorbidity, surgical details, and preoperative laboratory parameters was assessed using log-rank tests.Results:Twenty patients died by 365 days after surgery (including 5 that died within 30 days of surgery) resulting in a 1-year survival rate of 89.8% (95% confidence interval = 84.6-93.3). The 1-year mortality was significantly associated with age (≥85 years old, P = .032), existing comorbidity (P = .002), preinjury mobility level (P = .026), mental state (Mini-Mental State Examination > 23, P = .040), low preoperative plasma albumin level (P = .007), and high preoperative blood C-reactive protein level (CRP; P = .012). At the 1-year follow-up, patients on average did not regain their preinjury hip function and mobility, although the self-assessed quality of life was equal or better than before the injury.Discussion:As a prospective study, the current patient population had clear inclusion and exclusion criteria and was relatively homogeneous. The resulting associations between 1-year postoperative mortality and preoperative hypoalbuminemia and preoperative elevated CRP level are therefore especially notable. Previously identified risk factors such as male gender and time to surgery showed no significant association with 1-year mortality—the overall favorable condition of the current population or the lack of statistical power maybe responsible for this observation.Conclusion:The current results showed that under the condition of optimal surgical treatment and low surgery-related complication, preinjury health status as indicated by the blood level of albumin and CRP has a direct and significant impact on 1-year mortality rate.

Pre-injury health status of injured patients: a prospective comparison with the Dutch population

PurposeThe aim of this study was to assess whether injured patients have a different pre-injury health status compared to the Dutch population.MethodsA broad range of injured patients (age ≥ 18 and ≤ 75 years) completed the condition-specific Short Musculoskeletal Function Assessment (SMFA-NL) and generic health-related quality of life questionnaire EuroQol-5D (EQ-5D), within 2 weeks after patients sustained an injury. Patients reported their health status of the week before their injury. Scores were compared to the Dutch normative data of the questionnaires. Gender, age, educational level, relationship status, and comorbidity adjusted differences were calculated for the SMFA-NL.ResultsA total of 596 injured patients completed the questionnaires (response rate: 43%). Unadjusted pre-injury SMFA-NL scores of injured patients were significantly better compared to the Dutch normative data (ranging from + 2.4 to + 8.6 points, p < 0.001 for all subscales and indices). The unadjusted EQ-5D difference score was 0.05 points (p < 0.001) higher in the group of injured patients. Adjusted pre-injury scores were higher than the SMFA-NL normative data. Function index: + 3.6, p < 0.001, bother index: + 3.0, p < 0.001 upper extremity dysfunction: + 0.8, p = 0.2, lower extremity dysfunction: + 3.7, p < 0.001. Problems with daily activities: + 2.8, p = 0.001. Mental and emotional problems: + 6.8, p < 0.001.ConclusionsInjured patients reported a better pre-injury health status compared to the Dutch population. Patient characteristics explained an important part of the difference in health status between injured patients and the Dutch population.

A systematic review of lost-time injuries in the global mining industry.

Mining is a hazardous occupation with elevated rates of lost-time injury and disability. The purpose of this study is twofold: 1) To identify the type of lost-time injuries in the mining workforce, regardless of the kind of mining and 2) To examine the antecedent factors to the occupational injury (lost-time injuries). We identified and extracted primary papers related to lost-time injuries in the mining sector by conducting a systematic search of the electronic literature in the eight health and related databases. We critically reviewed nine articles in the mining sector that examined lost-time injuries. Musculoskeletal injuries (hand, back, limbs, fractures, lacerations and muscle contusions), slips and falls were identified as types of lost-time injuries. The review identified the following antecedent factors related to lost-time injuries: the mining work environment (underground mining), being male, age, working with mining equipment, organizational size, falling objects, disease status, job training and lack of occupational safety management teams, recovery time, social supports, access to health services, pre-injury health status and susceptibility to injury. The mining sector is a hazardous environment that increases workers' susceptibility to occupational injuries. There is a need to create and implement monitoring systems of lost-time injuries to implement prevention programs.

Preinjury ASA score as an independent predictor of readmission after major traumatic injury

BackgroundPatients with trauma have a high predisposition for readmission after discharge. Unplanned solicitation of medical services is a validated quality of care indicator and is associated with considerable economic costs....

Recovery Pathways and Prognosis After Whiplash Injury.

Synopsis Recovery from a whiplash injury is varied and complex. Some individuals recover quickly and fully, while others experience ongoing pain and disability. Three distinct patterns of predicted recovery (trajectories) have been identified using disability and psychological outcome measures. These trajectories are not linear, and show that recovery, if it is going to occur, tends to happen within the first 3 months of the injury, with little improvement after this period. Identification of factors associated with poor recovery is accumulating, and since 2000 there have been at least 10 published systematic reviews on prognostic factors for whiplash-associated disorder. Poor recovery has been consistently reported to be associated with high initial neck pain intensity and neck-related disability, posttraumatic stress symptoms, pain catastrophizing, and, to a lesser extent, low self-efficacy and cold hyperalgesia. Evidence regarding factors, including compensation status, psychological factors, structural pathology, and preinjury health status, remains equivocal. Given the huge number of predictive factors and various interpretations of recovery, adapting these data for use in clinical practice is difficult. Tools such as clinical prediction rules (CPRs), by statistically quantifying relevant data, may help to predict the probability of diagnosis, prognosis, or response to treatment. Numerous CPRs have been derived for individuals with whiplash; however, to date, only 3 prognostic CPRs have undergone external validation, and none have yet undergone impact analysis, a necessary step in providing information about the rules' ability to improve clinically relevant outcomes. J Orthop Sports Phys Ther 2016;46(10):851-861. Epub 3 Sep 2016. doi:10.2519/jospt.2016.6918.

Impact of Type of Health Insurance on Infection Rates among Young Trauma Patients.

Many studies have described the detrimental effect of lack of health insurance on trauma-related outcomes. It is unclear, though, whether these effects are related to pre-injury health status, access to trauma centers, or differences in quality of care after presentation. The aim of this study was to determine if patient and insurance type affect outcomes after trauma surgery. We conducted a retrospective chart review of prospectively collected data at the American College of Surgeons level 1 trauma registry in Rhode Island. All blunt trauma patients aged 18-45 observed from 2004 to 2014 were included. Patients were divided into one of four groups on the basis of their type of insurance: Private/commercial, Medicare, Medicaid, and uninsured. Co-morbidities and infections were recorded. Analysis of variance or the Mann-Whitney U test, as appropriate, was used to analyze the data. A total of 8,018 patients were included. Uninsured patients were more likely to be male and younger, whereas the Medicare patient group had significantly fewer male patients. Rates of co-morbidities were highest in the Medicare group (28.1%) versus the private insurance (16.7%), Medicaid (19.9%), and uninsured (12.9%) groups (p < 0.05). However, among patients with any co-morbidity, there was no difference in the average number of co-morbidities between insurance groups. The rate of infection was highest in Medicaid patients (7.7%) versus private (5.6%), Medicare (6.3%), and uninsured (4.3%) patients (p < 0.05). Only Medicaid was associated with a significantly greater risk of developing a post-injury infection (odds ratio 1.6; 95% confidence interval 1.1-2.3). The presence of insurance, namely Medicaid, does not equate to diagnosis and management of conditions that affect trauma outcomes. Medicaid is associated with worse pre-trauma health maintenance and a greater risk of infection.

Predictors of return to work following motor vehicle related orthopaedic trauma.

BackgroundWork disability following motor vehicle related orthopaedic trauma is a significant contributor to the burden of injury and disease. Early identification of predictors for return to work (RTW) is essential for developing effective interventions to prevent work disability. The study aim was to determine the predictors (including compensation related factors) of time to RTW following motor vehicle related orthopaedic trauma.MethodsAdmitted patients were recruited prospectively from two trauma hospitals with upper and/or lower extremity fractures following a motor vehicle crash. Baseline and follow up data were collected by written questionnaire. For baseline, this occurred in person within 2 weeks of injury. For follow up, this occurred by mail at six, 12 and 24 months. Additional demographic and injury-related information was retrieved from hospital databases. Analysis involved: descriptive statistics; logrank test to detect survival distributions of categorical variables; and Cox proportional hazards regression models for risks of time to RTW using baseline characteristic and compensation related variables (at 6 months).ResultsOf 452 study participants 334 (74 %) were working pre-injury: results are based on this subset. Baseline characteristics were mean age 36 years (13.9 Standard Deviation [SD]), 80 % male; 72 % self-assessed very good-excellent pre-injury health, 83 % household income > AU$40,000 (Australian Dollar). Follow up data was available for 233 (70 %), 210 (63 %), and 182 (54 %) participants at six, 12 and 24 months respectively.Significant risks of a longer time to RTW were greater injury severity, as measured by the New Injury Severity Score (NISS) (Hazards Rate Ratio [HRR] = 0.54, 95 % CI 0.35-0.82); and lower occupational skill levels (HRR = 0.53, 95 % CI 0.34-0.83). Significant risks of a shorter time to RTW were: recovery expectations for usual activities within 90 days (HRR = 2.10, 95 % CI 1.49-2.95); full-time pre-injury work hours (HRR = 1.99, 95 % CI 1.26-3.14); and very good self-assessed pre-injury health status (HRR = 1.41, 95 % CI 0.98-2.02). Legal representation (analysed at six months only) was not associated with time to RTW. At each time period, there were 146 (63 %), 149 (71 %), and 137 (76 %) working participants.ConclusionsA longer time to RTW was associated with greater injury severity and lower occupational skill levels; while a shorter time to RTW was associated with recovery expectations for usual activities within 90 days, full-time pre-injury work hours, and very good self-assessed pre-injury health status. Our findings reinforce existing research. There is an opportunity to trial interventions that address potentially modifiable factors. The issues surrounding legal representation are complex and require further research.

Rehabilitation after lower limb injury: development of a predictive score (RALLI score).

The purpose of our study was to identify the risk factors associated with the need for inpatient rehabilitation after lower limb injury to develop a predictive scoring tool for early identification of such patients. We followed a prospective cohort of patients admitted to a level 1 trauma centre. Data were collected through chart review and a self-administered questionnaire on sociodemographics, patient living environment, pretrauma status, injury and treatment received. We compared patients who were discharged home with those going to rehabilitation after acute care. Analysis consisted of bivariate comparisons and logistic regression. Our study included 160 patients with a mean age of 56 years. A total of 40% were discharged to an inpatient rehabilitation centre. Factors associated with inpatient rehabilitation were low preinjury physical health status, concomitant injury of the upper limbs, bilateral lower limb injury, the use of a walking aid before injury, head injury and femur or pelvic fractures. We created a predictive score using the top 3 risk factors: upper limb injury, bilateral lower limb injury and presence of femoral or pelvic fractures. The chance of needing inpatient rehabilitation rose from 14% with 0 factors to 47% with 1 factor and 96% with 2 factors. Rehabilitation planning should begin for patients exhibiting at least of 3 risk factors at the time of admission to acute care. Prospective validation of the tool is needed, but it has the potential to orient the multidisciplinary team's decision on rehabilitation needs postdischarge.

Previous Anterior Cruciate Ligament Injury Compromises Bone and Muscle Strength in Collegiate Athletes

A growing body of research has shown that recreationally active individuals have decreased bone and muscle strength following anterior cruciate ligament (ACL) injury and reconstruction; largely attributed to immobility following reconstructive surgery. However, little research has examined musculoskeletal adaption to ACL injury among collegiate athletes. PURPOSE: To examine limb-to-limb differences in muscle and bone strength parameters in collegiate athletes with a history of ACL injury and reconstruction. METHODS: Peripheral quantitative computed tomography (pQCT) and a series of muscle function tests were used to assess bone and muscle strength, respectively, among 12 Division III college athletes (5 males, 7 females; age=20.7 ± 0.5 years) with an ACL injury in the previous five years. Total and cortical bone volumetric density (ToD and CoD), and cortical bone mineral content (CoCnt), bone area (CoA), thickness (CoTh) and estimated bone strength (SSIp), along with muscle cross-sectional area (MCSA) were measured using pQCT at the proximal tibia (66%), patella midline, and distal femur (20%) sites. Muscle function assessment included single-leg hop and isometric manual muscle tests. A Lysholm Knee Scoring Scale was also administered. Both limbs were measured and a leg symmetry index (LSI) was calculated for all assessments. RESULTS: Tibia CoCnt (LSI=97.3%) was lower in the injured limb, along with patella ToD (LSI=89.7%; both p<0.05). At the femur, CoA (LSI= 94.4%) and CoTh (LSI= 94.4%) were lower in the injured limb (both p<0.05). MCSA was lower at the tibia (LSI=96.2%) and femur (LSI= 87.1%) of the injured limb, along with performance on the single leg (LSI= 78.2%) and cross hop (LSI=85.3%) patterns of the hop test (all p<0.05). No limb differences were found for manual muscle tests. CONCLUSIONS: Our results showed less robust bone density and geometry parameters, along with lower muscle strength outcomes in ACL-injured limbs among collegiate athletes up to five years following injury. These differences, however, were less pronounced than deficits previously reported among older, recreational athletes. Future research should investigate the effect of pre-injury health and fitness status in athletes compared to the general population. Supported by University of St. Thomas Young Scholar Grant.

Use of antidepressant medication after road traffic injury

ObjectivesMental ill health after road traffic injury is common, as is the use of antidepressant medication after injury. Little is known about antidepressant use by injured people prior to their injury. The aim of this study is to describe the nature and extent of antidepressant use before and after road traffic injury. MethodsVictorian residents who claimed Transport Accident Commission (TAC) compensation for a non-catastrophic injury that occurred between 2010 and 2012 and provided consent for Pharmaceutical Benefits Scheme (PBS) linkage were included (n=734). PBS records dating from 12 months prior through to 12 months post injury were provided by the Department of Human Services (Canberra). PBS and TAC claims data were linked. ResultsAmong participants, 12% used antidepressants before injury (84.4Defined Daily Doses/1000person-days) and 17% used antidepressants after injury (114.1DDD/1000p-d). Only 7.7% of the injured cohort commenced antidepressant treatment post injury. Thus, of all post-injury antidepressant use, 45% could potentially be related to the incident injury, with the remaining 55% most probably a continuation of pre-injury use. Pre-injury use was more common among women (109.4 vs. 54.6DDD/1000p-d, p<0.0001), and those with whiplash injury (119.3 vs. 73.1, p=0.03). Cyclists and motorcyclists were less likely to use antidepressants pre-injury than car drivers (18.3 vs. 16.9 vs. 109.3, respectively; p<0.001). ConclusionsLess than half of post-injury antidepressant use could potentially be attributable to the incident injury. These results highlight the importance of obtaining information on pre-injury health status before interpreting post-injury health service use to be an outcome of the injury in question.

Functional outcomes after tibial shaft fractures treated using the Taylor spatial frame.

To analyze functional and radiologic outcomes of tibial shaft fractures treated with the Taylor spatial frame (TSF). Prospective follow-up study of radiologic and functional outcomes. University teaching hospital. From January 2006 to December 2012, prospective data were collected for 56 consecutive patients completing treatment of a tibial shaft fracture with the TSF. Treatment of tibial shaft fractures, including those with simple extension into the knee or ankle joints, using the TSF. Residual deformity on x-ray and functional outcomes using the EQ-5D health status questionnaire, Iowa Knee and Ankle Evaluation Rating System scores, and Olerud and Molander Ankle score were recorded 1 year after frame removal. Average residual deformity was 1.8 degrees in the coronal and 1.6 degrees in the sagittal planes. EQ-5D outcomes showed patients returning to a health status no different from scores for the UK population as a whole. Iowa Knee scores demonstrated "good" or "excellent" outcomes in 87.3% of our cohort (mean, 90). Ankle Evaluation Rating System scores and Olerud and Molander Ankle scores showed "good" or "excellent" outcomes in 76.8% and 89.3% of our cohort, respectively (mean, 84.1 and 84). Use of the TSF for treatment of tibial fractures, with support from a dedicated limb reconstruction rehabilitation team, has a number of technical advantages while producing good functional and surgical outcomes, with patients recovering to a pre-injury health status. Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Update of the trauma risk adjustment model of the TraumaRegister DGU™: the Revised Injury Severity Classification, version II.

IntroductionThe TraumaRegister DGU™ (TR-DGU) has used the Revised Injury Severity Classification (RISC) score for outcome adjustment since 2003. In recent years, however, the observed mortality rate has fallen to about 2% below the prognosis, and it was felt that further prognostic factors, like pupil size and reaction, should be included as well. Finally, an increasing number of cases did not receive a RISC prognosis due to the missing values. Therefore, there was a need for an updated model for risk of death prediction in severely injured patients to be developed and validated using the most recent data.MethodsThe TR-DGU has been collecting data from severely injured patients since 1993. All injuries are coded according to the Abbreviated Injury Scale (AIS, version 2008). Severely injured patients from Europe (ISS ≥4) documented between 2010 and 2011 were selected for developing the new score (n = 30,866), and 21,918 patients from 2012 were used for validation. Age and injury codes were required, and transferred patients were excluded. Logistic regression analysis was applied with hospital mortality as the dependent variable. Results were evaluated in terms of discrimination (area under the receiver operating characteristic curve, AUC), precision (observed versus predicted mortality), and calibration (Hosmer-Lemeshow goodness-of-fit statistic).ResultsThe mean age of the development population was 47.3 years; 71.6% were males, and the average ISS was 19.3 points. Hospital mortality rate was 11.5% in this group. The new RISC II model consists of the following predictors: worst and second-worst injury (AIS severity level), head injury, age, sex, pupil reactivity and size, pre-injury health status, blood pressure, acidosis (base deficit), coagulation, haemoglobin, and cardiopulmonary resuscitation. Missing values are included as a separate category for every variable. In the development and the validation dataset, the new RISC II outperformed the original RISC score, for example AUC in the development dataset 0.953 versus 0.939.ConclusionsThe updated RISC II prognostic score has several advantages over the previous RISC model. Discrimination, precision and calibration are improved, and patients with partial missing values could now be included. Results were confirmed in a validation dataset.

FACTORS ASSOCIATED WITH FUNCTIONAL OUTCOMES 12 MONTHS AFTER INJURY

BackgroundInjury outcome studies have focused on hospitalised patients with major trauma, such as multiple injuries, and traumatic brain injury. Studies in comprehensive injury populations are rare, despite the fact that...

Return to pre-injury health status and function 12 months after hospitalisation for sport and active recreation related orthopaedic injury

BackgroundHospitalised sport and active recreation injuries can have serious long-term consequences. Despite this, few studies have examined the long-term outcomes of these injuries. The purpose of this study was to...

Utilization and Costs of Health Care after Geriatric Traumatic Brain Injury

Despite the growing number of older adults experiencing traumatic brain injury (TBI), little information exists regarding their utilization and cost of health care services. Identifying patterns in the type of care received and determining their costs is an important first step toward understanding the return on investment and potential areas for improvement. We performed a health care utilization and cost analysis using the National Study on the Costs and Outcomes of Trauma (NSCOT) dataset. Subjects were persons 55-84 years of age with TBI treated in 69 U.S. hospitals located in 14 states (n=414, weighted n=1038). Health outcomes, health care utilization, and 1-year costs of care following TBI in 2005 U.S. dollars were estimated from hospital bills, patient surveys, medical records, and Medicare claims data. The subjects were further analyzed in three subgroups (55-64, 65-74, and 75-84 years of age). Unadjusted cost models were built, followed by a second set of models adjusting for demographic and pre-injury health status. Those in the oldest category (75-84 years) had significantly higher numbers of re-hospitalizations, home health care visits, and hours per week of unpaid care, and significantly lower numbers of physician and mental health professional visits than younger age groups (age 55-64 and 65-74 years). Significant age-related differences were seen in all health outcomes tested at 12 months post-injury except for incidence of depressive symptoms. One-year total treatment costs did not differ significantly across age categories for brain-injured older adults in either the unadjusted or adjusted models. The unadjusted total mean 1-year cost of care was $77,872 in persons aged 55-64 years, $76,903 in persons aged 65-74 years, and $72,733 in persons aged 75-84 years. There were significant differences in cost drivers among the age groups. In the unadjusted model index hospitalization costs and inpatient rehabilitation costs were significantly lower in the oldest age category, while outpatient care costs and nursing home stays were lower in the younger age categories. In the adjusted model, in addition to these cost drivers, re-hospitalization costs were significantly higher among those 75-84 years of age, and receipt of informal care from friends and family was significantly different, being lowest among those aged 65-74 years, and highest among those aged 75-84 years. Identifying variations in care that these patients are receiving and determining the costs versus benefits is an important next step in understanding potential areas for improvement.

Retrospective evaluation versus population norms for the measurement of baseline health status

BackgroundPatient recall or the application of population norms are commonly used methods to estimate (unobservable) health status prior to acute-onset illness or injury; however, both measures are potentially subject to bias. This article reports tests of the validity of both approaches, and discusses the implications for reporting changes in health-related quality of life following acute-onset illness or injury.MethodsRecalled pre-injury health status and health status at 5- and 12-months post-injury were collected from participants in a prospective cohort study of people injured in New Zealand. Reported post-injury health status was compared with recalled pre-injury status and New Zealand norms for two groups: those who reported having fully recovered, and those who had not.ResultsThere was a small but statistically significant difference between pre- and post-injury health state valuations for people who had fully recovered, with recalled pre-injury health status being higher than reported post-injury health. Perceived health status for those who had fully recovered was significantly higher than the population norm.ConclusionsRetrospective evaluation of health status is more appropriate than the application of population norms to estimate health status prior to acute-onset injury or illness, although there may be a small upward bias in such measurements.