Pre-injury Health-related Quality Of Life Research Articles

Trajectories of physical health-related quality of life among adults living with burn injuries: A burn model system national database investigation to improve early intervention and rehabilitation service delivery.

Understanding trajectories of recovery in key domains can be used to guide patients, families, and caregivers. The purpose of this study was to describe common trajectories of physical health over time and to examine predictors of these trajectories. Adults with burn injuries completed self-reported assessments of their health-related quality of life (HRQOL) as measured by the SF-12® Physical Component Summary (PCS) score at distinct time points (preinjury via recall, index hospital discharge, and at 6-, 12-, and 24 months after injury). Growth mixture modeling (GMM) was used to model PCS scores over time. Covariables included burn size, participant characteristics, and scores from the Community Integration Questionnaire (CIQ)/Social Integration portion, Satisfaction With Life Scale (SWLS), and Satisfaction With Appearance Scale (SWAP). Data from 939 participants were used for complete-case analysis. Participants were 72% male, 64% non-Hispanic White, with an average age of 44 years and an average burn size of 20% of total body surface area (TBSA). The best fitting model suggested three distinct trajectories (Class 1 through 3) for HRQOL. We titled each Class according to the characteristics of their trajectory. Class 1 (recovering; n = 632), Class 2 (static; n = 77), and Class 3 (weakened; n = 205) reported near average HRQOL preinjury, then reported lower scores at discharge, with Class 1 subsequently improving to preinjury levels and Class 3 improving but not reaching their preinjury quality of life. Class 3 experienced the largest decrease in HRQOL. Class 2 reported the lowest preinjury HRQOL and remained low for the next 2 years, showing minimal change in their HRQOL. These findings emphasize the importance of early universal screening and sustained intervention for those most at risk for low HRQOL following injury. For Class 2 (static), lower than average HRQOL before their injury is a warning. For Class 3 (weakened), if the scores at 6 months show a large decline, then the person is at risk for not regaining their HRQOL by 24 months and thus needs all available interventions to optimize their outcomes. Results of this study provide guidance for how to identify people with burn injury who would benefit from more intensive rehabilitation to help them achieve or regain better HRQOL. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Impact of community-level socioeconomic disparities on quality of life after burn injury: A Burn Model Systems Database study

IntroductionIndividual-level socioeconomic disparities impact burn-related incidence, severity and outcomes. However, the impact of community-level socioeconomic disparities on recovery after burn injury is poorly understood. As a result, we are not yet able to develop individual- and community-specific strategies to optimize recovery. Therefore, we aimed to characterize the association between community-level socioeconomic disparities and long-term, health-related quality of life after burn injury. MethodsWe queried the Burn Model System National Longitudinal Database for participants who were> 14 years with a zip code and who had completed a health-related quality of life (HRQOL) questionnaire (VR-12) 6 months after injury. BMS data were deterministically linked by zip code to the Distressed Communities Index (DCI), which combines seven census-derived metrics into a single indicator of economic well-being, education, housing and opportunity at the zip code level. Hierarchical linear models were used to estimate the association between community deprivation and HRQOL 6 months after burn injury, as measured by mental (MCS) and physical (PCS) component summary scores of the SF12/VR12. Results342 participants met inclusion criteria. Participants were mostly male (n = 239, 69 %) and had a median age of 48 years (IQR 33–57 years). Median %TBSA was 10 (IQR 3–28). More than one-third of participants (n = 117, 34 %) lived in a community within the highest two distress quintiles. After adjusting for age, race/ethnicity, number of trips to the operating room (OR) and pre-injury PCS, neighbourhood distress was negatively associated with 6-month PCS (ß-0.05, 95 % CI [−0.09,−0.01]). Increasing age and lower pre-injury PCS were also negatively associated with 6-month PCS. There was no observed association between neighbourhood distress and 6-month MCS after adjustment for age, participant race/ethnicity, number of trips to the OR and pre-injury MCS. Higher pre-injury MCS was associated with 6-month MCS (ß0.54, 95 % CI [−0.41,0.67]). ConclusionsCommunity distress is associated with lower PCS at 6 months after burn injury but no association with MCS was identified. Pre-injury HRQOL is associated with both PCS and MCS after injury. Further study of the factors underlying the relationship between community distress and physical functional recovery (e.g., access to rehabilitation services, availability of adaptations) is required to identify potential interventions.

Pre-Burn Health-Related Quality of Life: Patient and Partner Perspectives

A proxy-assessment of health-related quality of life (HRQL) may be an alternative for burn patients who are medically unable to self-report shortly after being admitted to the hospital. This study examined the patient–partner agreement on the recalled pre-injury HRQL of burn patients. In a multi-centre study of 117 patient–partner pairs, the recalled pre-burn HRQL was assessed with the EQ-5D-3L + Cognition during the acute phase following the burns. Agreement was evaluated with Kappa and ICC statistics. Burn severity and PTSD symptoms were assessed as potential predictors of disagreement. The results showed that pre-burn EQ-Index scores were similar to population norms, whereas the EQ Visual Analog Scale (EQ-VAS) scores of patients were significantly higher. Agreement varied across EQ-5D domains and, after adjusting for prevalence, was substantial to almost perfect. Average agreement on the EQ-Index and EQ-VAS was, respectively, substantial and moderate, but differences between partners were larger at lower levels of HRQL, and specifically in the pain/discomfort domain. Patient–partner differences could not be explained by the patient’s age or gender, number of surgeries, partner’s presence at the burn event, or post-traumatic stress disorder (PTSD) symptoms of either the patient or partner. In conclusion, patient–partner agreement is substantial and partner–proxy reports of pre-burn EQ-5D domains and EQ-Index scores may be used to complement or serve as a substitute for the patient’s assessment. Given the moderate agreement on the EQ-VAS, it may be less suited for proxy assessment.

86 Impact of Community-Level Socioeconomic Disparities on Quality of Life After Burn Injury: A Burn Model Systems Database Study

Abstract Introduction Individual- and community-level socioeconomic disparities impact overall health and injury incidence, severity, and outcomes. However, the impact of community-level socioeconomic disparities on recovery after burn injury is unknown. We aimed to characterize the association between community-level socioeconomic disparities and health-related quality of life (HRQL) after burn injury. These findings might inform rehabilitation service delivery and policy making at administrative levels. Methods Participants with the NIDILRR Burn Model System who were ≥14 years with a zip code were included. Sociodemographic and injury characteristics and 12-item Short Form Health Survey (SF-12) and Veterans RAND (VR-12) physical (PCS) and mental (MCS) component summary scores 6 months after injury were extracted. Data were deterministically linked by zip code to the Distressed Communities Index (DCI), which combines seven census-derived metrics into a single indicator of economic well-being that ranges from 0 (lowest distress) to 100 (highest distress). Multilevel linear regression models estimated the association between DCI and HRQL. Results The 342 participants were mostly male (239, 69%) had a median age of 48 years (IQR 33–57) and sustained a median burn size of 10% TBSA (IQR 3–28%). More than one-third of participants (117, 34%) lived in a neighborhood within the two most distressed quintiles. After adjusting for age, race/ethnicity, and pre-injury HRQL, increasing neighborhood distress was negatively associated with PCS (ß-0.05, SE 0.02, p=0.01). Age and pre-injury PCS were also significantly associated with 6-month PCS. There was no association between neighborhood distress and 6-month MCS. However, pre-injury MCS was significantly associated with 6-month MCS (0.56, SE 0.07, p< 0.001). Conclusions Neighborhood distress is associated with lower PCS after burn injury but is not associated with MCS. Regardless of neighborhood distress, pre-injury HRQL is significantly associated with both PCS and MCS during recovery.

Health-Related Quality of Life After Polytrauma: A Systematic Review

Following hospital discharge after traumatic injuries, many patients' rehabilitation is inhibited by poor health-related quality of life (HRQoL). The purpose of this review is to identify factors that influence the HRQoL of polytrauma patients after hospital discharge. A systematic literature search was performed in CINAHL and PubMed databases for English-language articles published between January 2015 and January 2020. Articles that dealt with pediatric or narrow adult populations, exclusively considered brain and spinal cord injuries, burn injuries, or isolated fractures were excluded. In total, 22 nonexperimental cohort studies were eligible for inclusion. Based on these studies, with minor disagreements explainable by deficient sampling, variables that impacted HRQoL fell into 11 categories: demographics, preinjury HRQoL, preexisting conditions, mental health status, injury type and location, injury severity, course of hospitalization, time after injury, financial and employment status, functional capacity, and pain. The finding with the greatest implications was that mental health, positive coping, self-efficacy, and perception of physical state significantly influence HRQoL after injury and, along with other modifiable variables, can be optimized by directed treatment. Additionally, targeted assessments and interventions can be utilized to improve quality of life for patients with nonmodifiable risk factors.

Individual recovery of health-related quality of life during 18\xa0months post-burn using a retrospective pre-burn measurement: an exploratory study

PurposeThis study explored the individual trajectories of health-related quality of life (HRQL) compared to recalled pre-burn level of HRQL and investigated whether burn severity and post-traumatic stress disorder (PTSD) symptoms increase the risk of not returning to pre-burn level of HRQL.MethodsData were obtained from 309 adult patients with burns in a multicenter study. Patients completed the EQ-5D-3L questionnaire with a Cognition bolt-on shortly after hospital admission, which included a recalled pre-injury measure, and, again, at 3, 6, 12 and 18 months post-burn. Burn severity was indicated by the number of surgeries, and PTSD symptoms were assessed with the IES-R at three months post-burn. Pre- and post-injury HRQL were compared to norm populations.ResultsRecalled pre-injury HRQL was higher than population norms and HRQL at 18 months post-burn was comparable to population norms. Compared to the pre-injury level of functioning, four HRQL patterns of change over time were established: Stable, Recovery, Deterioration, and Growth. In each HRQL domain, a subset of patients did not return to their recalled pre-injury levels, especially with regard to Pain, Anxiety/Depression, and Cognition. Patients with more severe burns or PTSD symptoms were less likely to return to pre-injury level of functioning within 18 months post-burn.ConclusionThis study identified four patterns of individual change. Patients with more severe injuries and PTSD symptoms were more at risk of not returning to their recalled pre-injury HRQL. This study supports the face validity of using a recalled pre-burn HRQL score as a reference point to monitor HRQL after burns.

Agreement between retrospectively assessed health-related quality of life collected 1\u2009week and 12\u2009months post-injury: an observational follow-up study

BackgroundRetrospective assessment of pre-injury health-related quality of life (HRQL) is frequently used to measure change from pre- to post-injury HRQL. However, retrospective measurement may be confounded by recall bias. It is assumed that presence of recall bias is influenced by several factors, such as the measurement scale or the instrument that is used, the measurement schedule, and the presence of a substantial health event during the follow up period. This study empirically tests these assumptions by comparing pre-injury EQ-5D summary scores, EQ-5D profiles and visual analogue scale (EQ-VAS) scores of trauma patients, as recorded 1 week and 12 months post-injury, respectively.MethodsA sample of 5371 adult trauma patients who attended the Emergency Department (ED) followed by hospital admission, received postal questionnaires 1 week (T1) and 12 months (T2) post-injury. The questionnaires contained items on pre-injury health, in terms of EQ-5D3L and EQ-VAS.ResultsOne thousand one hundred sixty-six completed data pairs with T1 and T2 pre-injury data were available. Mean pre-injury EQ-5D summary scores were 0.906 (T1) and 0.905 (T2), respectively, with moderate intertemporal agreement (intraclass correlation coefficient (ICC) T1T2 = 0.595). In absolute terms, 442 (37.9%) respondents reported a different pre-injury EQ-5D profile at T2 compared to T1. The least stable EQ-5D dimension was pain/discomfort (20.2% reported a change). Mean T2 pre-injury EQ-VAS score was significantly higher than mean T1 pre-injury EQ-VAS score (T2 84.6 versus T1 83.3). Multivariable logistic regression analysis indicated that lower educational level, comorbid disease and having PTSD symptoms were independent predictors of change of pre-injury EQ-5D profile.ConclusionsDespite one third of respondents reported a different pre-injury health level, if asked for on two interview occasions separated by 1 year, on the group level this difference was nil (EQ-5D summary score) to small (EQ-VAS). The consistent symmetrical pattern of change suggests random error to play the largest role. Intertemporal reliability was the same in EQ-5D profiles vs. EQ-VAS scores, ruling out scale effects. Particularly certain trauma subgroups showed highest distortion. While group comparisons may be trusted, in pre-post analysis and repeated measure analysis the individual injury impact and recovery pattern may be wrongly estimated.

The effect of educational level in the comparison of pre-injury health-related quality of life (HRQoL) with HRQoL of a Dutch reference population

Differences between retrospectively collected pre-injury Health-related Quality of Life (HRQoL) data and population norms might be partly explained by differences in the distribution of educational level between cohorts. The first aim of this study was to examine whether retrospectively collected pre-injury HRQoL of the Dutch general hospitalized trauma population, is identical to HRQoL of a representative sample of Dutch individuals stratified by age, gender and educational level. Second, we examined the role of educational level in this comparison. This study was part of a longitudinal survey among trauma patients admitted to the hospital between August 2015 and November 2016. Pre-injury HRQoL was collected by using the EuroQol-5D-3L (EQ-5D-3L) questionnaire. The reference cohort compromises a representative sample of the Dutch population. HRQoL was compared between the injury cohort ( n = 3032), reference cohort ( n = 1839) and general population norms by using descriptive statistics. The effect of educational level in the comparison between the injury cohort and reference cohort was investigated by entering educational level in the multiple regression model after age and gender. Outcome measures were EQ-5D-3L tarif, EQ-VAS and the five domains of the EQ-5D-3L. In general, the injury cohort reported better recalled pre-injury HRQoL compared to the HRQoL of the reference cohort and compared to the general norm population after adjustment. The ≥10% increment of the Beta after the addition of educational level in the multiple regression analysis suggested that educational level is a confounder for HRQoL. Even after adjustment for age, gender and educational level trauma patients report a better pre-injury HRQoL score compared with the HRQoL of the reference cohort. To make a reliable comparison between an injured cohort and a reference group it is strongly advisable to adjust for educational level besides age and gender.

Wound irrigation does not affect health-related quality of life after open fractures: results of a randomized controlled trial.

AimsThe Fluid Lavage in Open Fracture Wounds (FLOW) trial was a multicentre, blinded, randomized controlled trial that used a 2 × 3 factorial design to evaluate the effect of irrigation solution (soap versus normal saline) and irrigation pressure (very low versus low versus high) on health-related quality of life (HRQL) in patients with open fractures. In this study, we used this dataset to ascertain whether these factors affect whether HRQL returns to pre-injury levels at 12-months post-injury.Patients and MethodsParticipants completed the Short Form-12 (SF-12) and the EuroQol-5 Dimensions (EQ-5D) at baseline (pre-injury recall), at two and six weeks, and at three, six, nine and 12-months post-fracture. We calculated the Physical Component Score (PCS) and the Mental Component Score (MCS) of the SF-12 and the EQ-5D utility score, conducted an analysis using a multi-level generalized linear model, and compared differences between the baseline and 12-month scores.ResultsWe found no clinically important differences between irrigating solutions or pressures for the SF-12 PCS, SF-12 MCS and EQ-5D. Irrespective of treatment, participants had not returned to their pre-injury function at 12-months for any of the three outcomes (p < 0.001).ConclusionNeither the composition of the irrigation solution nor irrigation pressure applied had an effect on HRQL. Irrespective of treatment, patients had not returned to their pre-injury HRQL at 12 months post-fracture.Cite this article: Bone Joint J 2018;100-B:88–94.

Patterns of recovery over 12 months following a burn injury in Australia

ObjectiveTo describe patients’ generic health status and health-related quality of life (HRQoL) 12-months following admission to a state-wide burns service. MethodsA total of 114 injured adults with >10% total body surface area burned (TBSA) or burns less than 10% TBSA to smaller anatomical areas such as the hands and feet participated in this study. Retrospective assessment of pre-burn injury status and prospective assessment of generic health and HRQoL were followed up at 3, 6 and 12-months after injury using the 36-item Short Form Health Survey (SF-36 v.2) and Burns Specific Health Scale-Brief (BSHS-B). The SF-36 v.2 was administered retrospectively during the initial hospital stay to assess pre-injury HRQoL. Changes in instruments scores were assessed using multilevel mixed effects regression models. Mean scores were compared over time and between severity groups as defined by <10%, 10–30% and >30% TBSA. ResultsFor the overall sample, the SF-36 v.2 physical component scale (PCS) score between 3 and 12-months post-burn injury were significantly lower than pre-injury scores (p<0.01), with no significant change over time for the mental component scale (MCS) (p=0.36). Significant %TBSA-burden by time interactions highlighted changes from pre-burn injury in overall PCS (p=0.02), physical functioning (p<0.001) and role-physical (p=0.03), with subscales worse for the TBSA >30% group. With respect to the BSHS-B, significant improvement from 3 to 12-months post-burn injury was seen for the entire sample in simple abilities (p<0.001), hand function (p=0.001), work (p=0.01), and treatment regime (p=0.004) subscales. The TBSA >30% group showed a greater rate of improvement in simple abilities (p=0.01) and hand function (p=0.005) between 3 and 12 months post-burn injury. ConclusionsWhilst certain HRQoL measures improve over the 12-months, in most cases they do not reach pre-morbid levels. Patients face ongoing challenges regarding their physical and psychosocial recovery 12-months post-burn injury with respect to generic health and burn-specific health. These challenges vary at different time periods over the 12-month post-burn period, and may provide windows of opportunity in which to address ongoing issues.

Long-Term Outcomes after Uncomplicated Mild Traumatic Brain Injury: A Comparison with Trauma Controls

The question as to whether mild traumatic brain injury (mTBI) results in persisting sequelae over and above those experienced by individuals sustaining general trauma remains controversial. This prospective study aimed to document outcomes 1 week and 3 months post-injury following mTBI assessed in the emergency department (ED) of a major adult trauma center. One hundred and twenty-three patients presenting with uncomplicated mTBI and 100 matched trauma controls completed measures of post-concussive symptoms and cognitive performance (Immediate Post-Concussion Assessment and Cognitive Testing battery; ImPACT) and pre-injury health-related quality of life (SF-36) in the ED. These measures together with measures of psychiatric status (the Mini-International Neuropsychiatric Interview [MINI]) pre- and post-injury, the Hospital Anxiety and Depression Scale, Visual Analogue Scale for Pain, Functional Assessment Questionnaire, and PTSD Checklist-Specific, were re-administered at follow-up. Participants with mTBI showed significantly more severe post-concussive symptoms in the ED and at 1 week post-injury. They performed more poorly than controls on the Visual Memory subtest of the ImPACT at 1 week and 3 months post-injury. Both the mTBI and control groups recovered well physically, and most were employed 3 months post-injury. There were no significant group differences in psychiatric function. However, the group with mild TBI was more likely to report ongoing memory and concentration problems in daily activities. Further investigation of factors associated with these ongoing problems is warranted.

Longitudinal Changes in the Health-Related Quality of Life During the First Year After Traumatic Brain Injury

Lin M-R, Chiu W-T, Chen Y-J, Yu W-Y, Huang S-J, Tsai M-D. Longitudinal changes in the health-related quality of life during the first year after traumatic brain injury. Objective To track the health-related quality of life (HRQL) at discharge and at 6 and 12 months after a traumatic brain injury (TBI) and examine factors associated with changes in each HRQL domain. Design Longitudinal cohort study. Setting Using codes of the International Classification of Diseases, eligible participants who had a newly diagnosed TBI were identified from discharge records of 4 hospitals in northern Taiwan. Information on the HRQL and injury-related characteristics at the initial and 2 follow-up assessments was collected by extracting medical records and conducting telephone interviews. Participants Subjects (N=158) participated in the initial assessment, and 147 and 146, respectively, completed the follow-up assessments at 6 and 12 months after injury. Interventions Not applicable. Main Outcome Measure The brief version of the World Health Organization Quality of Life (WHOQOL-BREF) with 4 domains of physical capacity, psychologic well being, social relationships, and environment. Results Scores on all WHOQOL-BREF domains except social relationships greatly improved over the first 6 months and showed continued improvement at 12 months after injury. The domain scores of the WHOQOL-BREF at discharge were significantly associated with the preinjury HRQL level, marital status, alcohol consumption at the time of injury, Glasgow Outcome Scale (GOS) level, cognition, activities of daily living, social support, and depressive status. However, after adjusting for these baseline differences, only the GOS level and depressive status significantly influenced longitudinal changes in the psychologic and social domains over the 12-month period. Changes in the physical and environmental domains were not significantly associated with any characteristics of the study. Conclusions During the first year after a TBI, the magnitude of HRQL recovery differed across different HRQL domains. Many factors may have significant associations with the initial domain scores of HRQL after TBI; however, only a few factors can significantly influence longitudinal changes in the HRQL.

Post-Traumatic Stress Impacts on Quality of Life in Children After Road Traffic Accidents: Prospective Study

There is little knowledge on health-related quality of life (HRQOL) of injured children and adolescents after road traffic accidents (RTA). Although findings in injured adults suggest that post-traumatic stress symptoms (PTSS) may be important predictors of HRQOL, this issue has never been prospectively examined in children. The aim of the present study was therefore to prospectively assess HRQOL in children after RTA and specifically examine the impact of PTSS on HRQOL. Sixty-eight children (aged 6.5-14.5 years) were interviewed 1 month and 1 year after an RTA using the Child PTSD Reaction Index and the Toegepast Natuurwetenschappelijk Onderzoek-Academisch Ziekenhuis Leiden (TNO-AZL) Questionnaire for Children's Health-Related Quality of Life. Parents and physicians were assessed with questionnaires. Eleven children (16.2%) showed moderate to severe post-traumatic stress reactions at 1 month, and 12 children (17.6%) at 1 year. At 1 month, patients reported reduced motor functioning and autonomy and impairments in some parts of emotional functioning compared to a community sample. At 1 year all dimensions of HRQOL were within or above normal ranges. Multivariate analysis indicated that PTSS at 1 month significantly predicted HRQOL at 1 year. This prospective study provides evidence for a long-term negative influence of early PTSS on HRQOL in injured children. The return of injured children to pre-injury HRQOL may therefore not only depend on optimal medical care but also on awareness and timely interventions regarding PTSS.

Preinjury Status: Are Orthopaedic Trauma Patients Different Than the General Population?

To describe the preinjury health-related quality of life (HRQL) of orthopaedic trauma patients admitted to Level I trauma centers relative to the general population. Prospective cohort study using retrospectively collected preinjury HRQL measures. Two Level I adult trauma centers in Melbourne, Australia. A total of 2388 admitted orthopaedic trauma patients aged > or = 18 years were included, captured by the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR) between October 2003 and January 2006. Patients with a significant head injury (Abbreviated Injury Scale severity score >2), dementia, mental illness, mental disability, who were non-English speakers, or who were postoperatively confused were excluded. The 12-item Short Form Health Survey (SF-12). The preinjury SF-12 was obtained for 1839 patients [median (interquartile range) of 6 (3-12) days postinjury]. The VOTOR population reported mean physical SF-12 scores above population norms (50.9 vs. 48.9, P < 0.001). The differences were predominant in men and confined to patients aged 18 to 54 years. The mean mental SF-12 scores of the VOTOR population were also greater than population norms (54.5 vs. 52.4, P < 0.001) and this was most apparent for women. Establishing the preinjury HRQL of trauma patients is important for evaluating the quality of orthopaedic trauma patient outcomes. Reliance on population norms for this purpose may lead to an underestimation of the impact of injury in particular age and sex subgroups, but given the size of the differences seen, any underestimation would be small. Where individual preinjury data cannot be collected, population norms could be used as a reasonable estimate of preinjury patient status for assessing quality of recovery.

An evaluation of the Assessment of Quality of Life utility instrument as a measure of the impact of injury on health-related quality of life

The Assessment of Quality of Life (AQoL) is a generic health-related quality of life (HRQL) measure. It is the only HRQL instrument, currently available, that incorporates health preference values derived from an Australian population and has been extensively trialled in over 40 studies. However, prior to this study, it had not been used to measure HRQL in injury patients. The aim of this study was to evaluate the AQoL, as a measure of the impact of injury on HRQL, by examining its correlation with other commonly used measures of health outcome and its ability to discriminate between groups with injuries of varying type and severity. A total of 221 admitted injury patients, aged 18 – 74 years, were recruited into the study from four major Victorian metropolitan hospitals and followed up over 12 months. The AQoL and the SF-36 were administered to obtain retrospective measures of pre-injury HRQL and health status with post-injury measurements obtained at five intervals post-injury (to 12 months). A preliminary analysis of data from this study showed the AQoL was positively related to other common outcome measures and, overall, showed a strong correlation with the SF-36 Physical Component Summary and a moderate correlation with the Mental Component Summary. It also demonstrated good discrimination between groups on the basis of type of injury, body region injured and severity of injury. While further testing of the AQoL, in this context, is still necessary, this study suggests that the AQoL may be a useful measure of the impact of injury on HRQL.

Long-term health-related quality of life outcomes following Jefferson-type burst fractures of the atlas

The primary goal of this study was to describe the long-term health-related quality of life (HRQOL) outcomes in patients who have suffered Jefferson-type fractures. These outcomes were compared with matched normative HRQOL data and with the patient's perceptions of their HRQOL prior to the injury. Variables that potentially influence these HRQOL outcomes were analyzed. No standardized outcome assessments have been published for patients who suffer these fractures; their outcomes have long thought to be excellent following treatment. Determining the optimal surrogate measure to represent preinjury HRQOL in trauma patients is difficult. A retrospective review, radiographic analysis, and cross-sectional outcome assessment were performed. The Short Form (SF)-36 and the American Academy of Orthopaedic Surgeons/North American Spine Society (AAOS/NASS) outcome instruments were filled out by patients at final follow-up examination (follow-up period 75 months, range 19-198 months) to represent their current status as well as their perceptions of preinjury status. In 34 patients, the SF-36 physical component score and the AAOS/NASS pain values were significantly lower than normative values. There was no significant difference between normative and preinjury values. Spence criteria greater than 7 mm and the presence of associated injuries predicted poorer outcome scores during the follow-up period. Long-term follow-up examination of patients with Jefferson fractures indicated that patients' status does not return to the level of their perceived preinjury health status or that of normative population controls. Those with other injuries and significant osseous displacement (> or = 7 mm total) may experience poorer long-term outcomes. Limitations of the study included a relatively low (60%) response rate and the difficulties of identifying an appropriate baseline outcome in a trauma population with which the follow-up outcomes can be compared.