Longer-term quality of life following major trauma: age only significantly affects outcome after the age of 80 years

Implementation of health-related quality of life in the German TraumaRegister DGU® - first results of a pilot study

BACKGROUND

Approximately 30,000 people are affected by severe injuries in Germany each year. Continuous progress in prehospital and hospital care has significantly reduced the mortality of polytrauma patients. With increasing survival rates, the functional outcome, health-related quality (hrQoL) of life and ability to work are now gaining importance. Aim of the study is, the presentation of the response behavior of seriously injured patients on the one hand and the examination of the factors influencing the quality of life and ability to work 12 months after major trauma on the other hand. Building on these initial results, a standard outcome tool shall be integrated in the established TraumaRegister DGU® in the future.

METHODS

In 2018, patients [Injury Severity Score (ISS) ≥ 16; age:18-75 years] underwent multicenter one-year posttraumatic follow-up in six study hospitals. In addition to assessing hrQoL by using the Short-Form Health Survey (SF-12), five additional questions (treatment satisfaction; ability to work; trauma-related medical treatment; relevant physical disability, hrQoL as compared with the prior to injury status) were applied.

RESULTS

Of the 1,162 patients contacted, 594 responded and were included in the analysis. The post-injury hrQoL does not show statistically significant differences between the sexes. Regarding age, however, the younger the patient at injury, the better the SF-12 physical sum score. Furthermore, the physically perceived quality of life decreases statistically significantly in relation to the severity of the trauma as measured by the ISS, whereas the mentally perceived quality of life shows no differences in terms of injury severity. A large proportion of severely injured patients were very satisfied (42.2%) or satisfied (39.9%) with the treatment outcome. It should be emphasized that patients with a high injury severity (ISS > 50) were on average more often very satisfied with the treatment outcome (46.7%). A total of 429 patients provided information on their ability to work 12 months post-injury. Here, 194 (45.2%) patients had a full employment, and 58 (13.5%) patients were had a restricted employment.

CONCLUSION

The present results show the importance of a structured assessment of the postinjury hrQoL and the ability to work after polytrauma. Further studies on the detection of influenceable risk factors on hrQoL and ability to work in the intersectoral course of treatment should follow to enable the best possible outcome of polytrauma survivors.

Health-Related Quality of Life in severely injured patients in Finland: an observational cohort study of 325 patients with 1-year follow-up

BACKGROUND

Major trauma has a significant effect on Health-Related Quality of Life (HR-QoL). It is unclear, however, which factors most affect HR-QoL. This study aims to evaluate HR-QoL after severe injury in Finland and determine how different injury patterns and patient-related factors, such as level of education and socioeconomic group, are associated with HR-QoL. We also assess how well different injury scoring systems associate with HR-QoL.

METHODS

We retrospectively analyzed 325 severely injured trauma patients (aged ≥ 18 years, New Injury Severity Score, (NISS) ≥ 16, and alive at 1 year after injury) treated in the Intensive Care Unit (ICU) or High Dependence Unit (HDU) of Tampere University Hospital (TAUH) from 2013 through 2016. HR-QoL was assessed with the EQ-5D-3L questionnaire completed during ICU stay and 1 year after injury. HR-QOL index values and reported problems were further compared with Finnish population norms.

RESULTS

The severity of the injury (measured by ISS and NISS) had no significant association with the decrease in HR-QoL. Length of ICU stay had a weak negative correlation with post-injury HR-QoL and a weak positive correlation with the change in HR-QoL. The largest mean decrease in HR-QoL occurred in patients with spinal cord injury (Spine AIS ≥ 4) (-0.338 (SD 0.136)), spine injury in general (Spine AIS ≥ 2 (-0.201 (SD 0.279)), and a lower level of education (-0.157 (SD 0.231)). Patient's age, sex, or socioeconomic status did not seem to associate with smaller or greater changes in HR-QoL.

CONCLUSIONS

After serious injury, many patients have permanent disabilities which reduce HR-QoL. Injury scoring systems intended for assessing the risk for death did not seem to associate with HR-QoL and are not, therefore, a meaningful way to predict the future HR-QoL of a severely injured patient. Recovery from the injury seems to be weaker in poorer educated patients and patients with spinal cord injury, and these patients may benefit from targeted additional measures. Although there were significant differences in baseline HR-QoL levels between different socioeconomic groups, recovery from injury appears to be similar, which is likely due to equal access to high-quality trauma care.

Parameters influencing health-related quality of life after severe trauma: a systematic review (part II)

INTRODUCTION

It is increasingly recognized that health-related quality of life (HRQoL) is a relevant outcome to study in populations comprising severely injured patients. Although some studies have readily demonstrated a compromised HRQoL in those patients, evidence regarding factors that predict HRQoL is scarce. This hinders attempts to prepare patient-specific plans that may aid in revalidation and improved life satisfaction. In this review, we present identified predictors of HRQoL in patients that have suffered severe trauma.

METHODS

The search strategy included a database search until the 1st of January 2022 in the Cochrane Library, EMBASE, PubMed, and Web of Science, and reference checking. Studies were eligible for inclusion when (HR)QoL was studied in patients with major, multiple, or severe injury and/or polytrauma, as defined by authors by means of an Injury Severity Score (ISS) cut-off value. The results will be discussed in a narrative manner.

RESULTS

A total of 1583 articles were reviewed. Of those, 90 were included and used for analysis. In total, 23 possible predictors were identified. The following parameters predicted reduced HRQoL in severely injured patients and came forward in at least more than three studies: higher age, female gender, lower extremity injuries, higher rate of injury severity, lower achieved educational level, presence of (pre-existing) comorbidities and mental illness, longer duration of hospital stay, and high level of disability.

CONCLUSION

Age, gender, injured body region, and severity of injury were found to be good predictors of health-related quality of life in severely injured patients. A patient-centered approach, based on individual, demographic, and disease-specific predictors, is highly recommended.

Long-term health-related quality of life after trauma with and without traumatic brain injury: a prospective cohort study

To purpose was to assess and compare the health-related quality of life (HRQoL) and risk of depression two years after trauma, between patients with and without traumatic brain injury (TBI) in a mixed Swedish trauma cohort. In this prospective cohort study, TBI and non-TBI trauma patients included in the Swedish Trauma registry 2019 at a level II trauma center in Stockholm, Sweden, were contacted two years after admission. HRQoL was assessed with RAND-36 and EQ-5D-3L, and depression with Montgomery Åsberg depression Rating Scale self-report (MADRS-S). Abbreviated Injury Score (AIS) head was used to grade TBI severity, and American Society of Anesthesiologists (ASA) score was used to assess comorbidities. Data were compared using Chi-squared test, Mann Whitney U test and ordered logistic regression, and Bonferroni correction was applied. A total of 170 of 737 eligible patients were included. TBI was associated with higher scores in 5/8 domains of RAND-36 and 3/5 domains of EQ-5D (p < 0.05). No significant difference in MADRS-S. An AIS (head) of three or higher was associated with lower scores in five domains of RAND-36 and two domains of EQ-5D but not for MADRS-S. An ASA-score of three was associated with lower scores in all domains of both RAND-36 (p < 0.05, except mental health) and EQ-5D (p < 0.001, except anxiety/depression), but not for MADRS-S. In conclusion, patients without TBI reported a lower HRQoL than TBI patients two years after trauma. TBI severity assessed according to AIS (head) was associated with HRQoL, and ASA-score was found to be a predictor of HRQoL, emphasizing the importance of considering pre-injury health status when assessing outcomes in TBI patients.

Health-related quality of life after severe trauma and available PROMS: an updated review (part I)

Introduction

Throughout the years, a decreasing trend in mortality rate has been demonstrated in patients suffering severe trauma. This increases the relevance of documentation of other outcomes for this population, including patient-reported outcome measures (PROMs), such as health-related quality of life (HRQoL). The aim of this review was to summarize the results of the studies that have been conducted regarding HRQoL in severely injured patients (as defined by the articles’ authors). Also, we present the instruments that are used most frequently to assess HRQoL in patients suffering severe trauma.

Methods

A literature search was conducted in the Cochrane Library, EMBASE, PubMed, and Web of Science for articles published from inception until the 1st of January 2022. Reference lists of included articles were reviewed as well. Studies were considered eligible when a population of patients with major, multiple or severe injury and/or polytrauma was included, well-defined by means of an ISS-threshold, and the outcome of interest was described in terms of (HR)QoL. A narrative design was chosen for this review.

Results

The search strategy identified 1583 articles, which were reduced to 113 after application of the eligibility criteria. In total, nineteen instruments were used to assess HRQoL. The SF-36 was used most frequently, followed by the EQ-5D and SF-12. HRQoL in patients with severe trauma was often compared to normative population norms or pre-injury status, and was found to be reduced in both cases, regardless of the tool used to assess this outcome. Some studies demonstrated higher scoring of the patients over time, suggesting improved HRQoL after considerable time after severe trauma.

Conclusion

HRQoL in severely injured patients is overall reduced, regardless of the instrument used to assess it. The instruments that were used most frequently to assess HRQoL were the SF-36 and EQ-5D. Future research is needed to shed light on the consequences of the reduced HRQoL in this population. We recommend routine assessment and documentation of HRQoL in severely injured patients.

The effect of age on resilience of health-related quality of life among polytrauma patients: a cross-sectional multicenter study

Purpose

The aim of this study was to determine the impact of age on patient-reported health-related quality of life (HRQoL) and the capacity to show resilience—i.e., the ability to adapt to stressful adverse events—after sustaining a polytrauma.

Methods

A cross-sectional multicenter cohort was conducted between 2013 and 2016 that included surviving polytrauma patients (ISS ≥ 16). HRQoL was obtained by the Short Musculoskeletal Function assessment and EuroQol (SMFA and EQ-5D-5L). The effect of age on HRQoL was tested with linear regression analysis. Next, the individual scores were compared with age- and sex-matched normative data to determine whether they showed resilience. Multivariate binary logistic regression was used to assess the effect of age on reaching the normative threshold of the surveys, correcting for several confounders.

Results

A total of 363 patients responded (57%). Overall, patients had a mean EQ-5D-5L score of 0.73. With higher age, scores on the SMFA subscales “upper extremity dysfunction,” “lower extremity dysfunction” and “daily activities” significantly dropped. Only 42% of patients were classified as being resilient, based on the EQ-5D-5L score. Patients aged 60–69 showed the highest resilience (56%), and those aged 80 + showed the lowest resilience (0%).

Conclusion

Sustaining a polytrauma leads to a serious decline in HRQoL. Aging is associated with a decline in the physical components of HRQoL. No clear relationship with age was seen on the non-physical components of quality of life. Octogenarians, and to a lesser extent septuagenarians and tricenarians, showed to be very vulnerable groups, with low rates of resilience after surviving a polytrauma.

Priorities for returning to work after traumatic injury: A public and professional involvement study

Introduction

Following traumatic injury, occupational therapists (OTs) are pivotal in supporting people to return-to-work (RTW) and regain independence. Aim: to identify priorities for RTW after traumatic injury and highlight barriers hindering the process.

Method

We recruited 17 participants with direct (i.e. trauma survivor [ n = 11]; OT trauma survivor [ n = 2]) or indirect (i.e. OT [ n = 4]) experience of returning to work following traumatic injury. Online consultations, lasting 60 min, were guided by a semi-structured script ensuring relevant topics were covered. An inductive approach was used for coding themes using thematic analysis.

Findings

Sense of purpose, identity and social interaction were greater priorities for RTW, than financial stability. Major barriers were: pain and fatigue; adapting to physical changes; impacts on mental health; and lack of support (healthcare and the workplace). Participants (public and healthcare professionals) reported a lack of vocational rehabilitation in supporting trauma survivors RTW, but advocated occupational therapy for psychological recovery; purposeful engagement in occupations; and community support.

Conclusion

Restoring an individual’s self-identity and social connections, whilst helping control pain and fatigue, should be prioritised when planning occupational therapy for those returning to work after traumatic injury. This study was limited to ‘returners’, but can inform occupational therapy interventions for RTW.

Improving mortality in older adult trauma patients: Are we doing better?

BACKGROUND

Older adult trauma is associated with high morbidity and mortality. Individuals older than 65 years are expected to make up more than 21% of the total population and almost 39% of trauma admissions by 2050. Our objective was to perform a national review of older adult trauma mortality and identify associated risk factors to highlight potential areas for improvement in quality of care.

MATERIALS AND METHODS

This is a retrospective cohort study of the National Trauma Data Bank including all patients age ≥65 years with at least one International Classification of Diseases, Ninth Revision, Clinical Modification trauma code admitted to a Level I or II US trauma center between 2007 and 2015. Variables examined included demographics, comorbidities, emergency department vitals, injury characteristics, and trauma center characteristics. Multilevel mixed-effect logistic regression was performed to identify independent risk factors of in-hospital mortality.

RESULTS

There were 1,492,759 patients included in this study. The number of older adult trauma patients increased from 88,056 in 2007 to 158,929 in 2015 (p > 0.001). Adjusted in-hospital mortality decreased in 2014 to 2015 (odds ratio [OR], 0.88; 95% confidence interval [CI], 0.86-0.91) when compared with 2007 to 2009. Admission to a university hospital was protective (OR, 0.83; 95% CI, 0.74-0.93) as compared with a community hospital admission. There was no difference in mortality risk between Level II and Level I admission (OR, 1.00; 95% CI, 0.92-1.08). The strongest trauma-related risk factor for in-patient mortality was pancreas/bowel injury (OR, 2.25; 95% CI, 2.04-2.49).

CONCLUSION

Mortality in older trauma patients is decreasing over time, indicating an improvement in the quality of trauma care. The outcomes of university based hospitals can be used as national benchmarks to guide quality metrics.

LEVEL OF EVIDENCE

Therapeutic/Care Management, Level IV.

Main factors predicting somatic, psychological, and cognitive patient outcomes after significant injury: a pilot study of a simple prognostic tool

Background

There are still insufficient data on the complexity and predictability of patient-related outcomes following trauma. The aim of this study was to assess longer-term outcomes in patients with significant injury and to develop a simple scoring method to identify patients at high risk of subsequent deficits 1–2 years after injury.

Methods

We conducted a prospective cohort study of survivors of significant injury (New Injury Severity Score, NISS greater than or equal to 8), with analysis of patients’ 1- to 2-year health-related quality of life (HRQoL) and their functional outcomes based on Short Form-36 (SF-36), Trauma Outcome Profile (TOP), and Quality Of Life after Brain Injury (QOLIBRI). Documented variables suspected or known from the literature to be possible factors associated with outcome were first analysed by univariate analysis, and significant variables were entered into a stepwise logistic regression analysis. Scores predicting longer-term impaired outcome were constructed from risk factors resulting from multivariate analysis.

Results

Depending on the patient-reported outcome measure (PROM) used, up to 30 per cent of 1052 study patients (mean NISS 18.6) indicated somatic, 27 per cent psychological, and 54 per cent cognitive deficits. The investigated sociodemographic, injury-related, treatment, and early hospital outcome variables demonstrated only low associations with longer-term outcome in univariate analysis that were highest for preinjury pain or function (R = 0.4) and outcome at hospital discharge (R = 0.3). After logistic regression, the study variables explained a maximum variance of 23 per cent for somatic, 11 per cent for psychological, and 14 per cent for cognitive longer-term outcomes. The resulting Aarau trauma prognostic longer-term outcome scoring (ATPLOS) system, developed by checking eight risk factors, had a specificity of up to 80 per cent, and importantly may facilitate early detection of patients at risk of a poorer longer-term outcome.

Conclusion

Despite the high rate of deficits recorded for survivors of significant injury, particularly in loss of cognitive function, the multiple variables analysed only led to a limited characterization of patient-related longer-term outcomes. Until more is known about additional individual influencing factors, the proposed scoring system may serve well for clinical evaluation.

Registration number

NCT 02165137 (http://www.clinicaltrials.gov)

[Rehabilitation after multiple traumata]

BACKGROUND

The reintegration into the social and professional environment and the achievement of the best possible quality of life after multiple injuries can often only be achieved after a lengthy rehabilitation process and belongs in the hands of experienced doctors, therapists, and rehabilitation managers.

REHABILITATION PHASES

Rehabilitation after serious accidents must be differentiated from "normal" orthopedic rehabilitation after elective surgery. The challenges of trauma rehabilitation require coordinated rehabilitation phases. This is the only way to avoid the so-called "rehab hole" between discharge from the acute clinic and the start of post-acute rehabilitation. A 6-phase model is described. After acute treatment (phase A) and any necessary early rehabilitation (phase B), phase C of post-acute rehabilitation places special demands on the rehabilitation facility. Phase D of the follow-up rehabilitation is established. The further rehabilitation (phase E) provides measures specifically tailored to the consequences of the accident, such as pain rehabilitation or activity-oriented procedures. Long-term follow-up care for previously severely injured patients is necessary (phase F).

PROSPECTS

An integration of trauma rehabilitation centers into the existing trauma network remains the goal to improve the outcome after polytrauma.

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

BACKGROUND

Following hospital discharge after traumatic injuries, many patients' rehabilitation is inhibited by poor health-related quality of life (HRQoL).

OBJECTIVE

The purpose of this review is to identify factors that influence the HRQoL of polytrauma patients after hospital discharge.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Short-term outcome following significant trauma: increasing age per se has only a relatively low impact

PURPOSE

Ongoing demographic changes go hand in hand with an increasing number of elderly injured. Given the conflicting literature we wanted to know how much age per se, apart from other factors, actually explains the outcome for elderly trauma patients.

METHODS

Retrospective analysis of prospectively collected data on all significantly injured (new injury severity score, NISS  ≥ 8) adult patients treated at a Swiss trauma center between 01.01.2010 and 31.12.2017. The association of age and other demographic, trauma or treatment-related variables on parameters of short-term outcome was examined using uni- and multivariate analyses (mean ± SD; R²; p < 0.05).

RESULTS

2692 consecutive patients (33.4% female; mean age 58.1 ± 21.7; hospital mortality 10.1%) were studied. Detailed analysis of quinquennial age groups demonstrated a significant decline in outcome with regard to mortality or return-to-home rate following hospital discharge after the age of 60 years (p < 0.001). In univariate analysis, age explained 4.6% and the number of years ≥ 60 5.9% of hospital mortality. In multivariate analysis, the investigated demographic, trauma or treatment-related parameters contributed at 36.5% to prediction of mortality, age added another 1.5% and number of years  ≥ 60 another 2.1% (R²).

CONCLUSION

This monocenter evaluation showed a significant decline in short-term outcome and an increase in hospital resource requirements by the trauma patients investigated after the age of 60 years. Even so, after controlling for demographic, injury and treatment variables, age per se only added less than 2% to the prediction of hospital mortality.

Quality of life in primary care patients with moderate medically unexplained physical symptoms

PURPOSE

Medically Unexplained Physical Symptoms (MUPS) have a large impact on patient's quality of life. Most studies have been limited to chronic MUPS and thus, little is known about moderate MUPS. Improved knowledge concerning determinants influencing quality of life in moderate MUPS patients can be helpful in managing MUPS. This study is aimed at describing the common characteristics seen in moderate MUPS patients and compare them with characteristics seen in chronic MUPS patients and general population. We also identified determinants of the physical and mental components of quality of life in moderate MUPS patients.

METHODS

In a cross-sectional study, moderate MUPS patients (n = 160) were compared with chronic MUPS patients (n = 162) and general population (n = 1742) based on demographic characteristics and patient's quality of life. Multivariable linear regression analyses were performed to identify determinants associated with a patient's quality of life, assessed with the RAND-36.

RESULTS

Moderate MUPS patients experienced a better quality of life than chronic MUPS patients, but a worse quality of life as compared to the general population. Determinants associated with the physical and mental components of quality of life explain 49.1% and 62.9% of the variance, respectively.

CONCLUSION

Quality of life of patients with MUPS varies with MUPS disease stage. Based on their quality of life scores, moderate MUPS patients would be adequately distinguished from chronic MUPS patients. Half of the variance in the physical component and almost two thirds of the mental component would be explained by a number of MUPS-related symptoms and perceptions.

Epidemiological Features of Injured Patients Examined by Tehran Emergency Medical Service Technicians

Introduction:

Knowledge of epidemiological aspects can be a useful guide in determining the resources for better prevention and management of injuries. There are some performed studies on this topic in Iran, based on the limited hospital database. However, to the best of our knowledge, there is not any survey based on the pre-hospital database

Objective:

The purpose of this study was to assess baseline characteristics of the traumatic patients according to the records of Tehran Emergency Medical Service (EMS) Center to present descriptive statistics of their epidemiological features.

Method:

This cross-sectional study was conducted retrospectively, using Tehran EMS center data registry. All traumatic patients examined by EMS in Tehran, Iran following call to emergency medical dispatcher were included. By reviewing the EMS technicians’ mission forms, required data were extracted. The mission form contains information such as age, sex, injured location, damage mechanism, accident location (home, workplace, street), time of call, the outcome of the patient’s ambulance mission and the results of the assessment of the technician, etc.

Results:

Totally, 56612 injured cases with the mean age of 33.1±15.6 years were examined by EMS during one-year study period of whom 80.4% were male. Crude Incidence Rate was 10.5 and 2.5 per 1000 in male and female, respectively. Traffic accident and then fall were the two most prevalent mechanism of injuries. All types of injuries were significantly more prevalent in males (P<0.001). Most injuries were in winter season with 15570 cases (27.5%). Car accident was prevalent in winter and other injuries were significantly prevalent in spring (P<0.001). The most frequent places of injuries occurred on main roads and streets (55.7%). All of the road-related injuries was prevalent in winter, whereas injuries in other places were prevalent in spring (P<0.001). Most of the cases (78.3%) were transferred to the health centers, but 20.7% did not consent to treatment and transmission. Only 222 cases (0.4%) died, that 95% was due to traffic accident. there was a significant relationship between the number of injured organs and the death; So that the highest death rate occurred for those with more than 5 injured organs (P <0.001).

Conclusion:

Based on the findings, traffic accident was the most frequent cause of trauma that led to visiting a traumatic patient by an EMS technician in Tehran, Iran. Injuries in all age groups were more prevalent in males, and the involvement of 5 or more injured organ had a significant relationship with mortality.

To What Extent Are Main Accident-Insurer Cases Representative of All Significantly Injured? A Swiss Monocenter Perspective

Background and Objectives.-Even though Switzerland has a compulsory insurance system, there is a lack of detailed information on the treatment and outcome following trauma. The objective of this evaluation was to examine to what extent cases insured by the largest accident-insurer (Suva) are representative of all significantly injured. Methods.-Trauma center analysis of all ≥16 year old trauma patients with a New Injury Severity Score (NISS) ≥8, comparing the characteristics of Suva- vs non-Suva cases (chi-square; univariate explained variance R²; multivariate logistic regression analysis, Nagelkerke R²). Results.-Over 7 years, 2233 trauma patients were treated at the hospital, of whom 29.4% were Suva-insured. Compared to non-Suva-insured, Suva cases were younger (41.6 vs 64.2, R² = 0.23) and more often male (88.0% vs 59.4%; R² = 0.08). In multivariate analysis, these two factors together explained 37.5% of the differences between groups. No other investigated factor explained more than 2%. If only those patients of obligatory working age were analyzed (n = 1264), Suva cases (50.6%) were more often male than non-Suva-insured (n = 562 [87.8%] vs n = 393 [63.0%], resp.; p<0.001, R² = 0.08). In multivariate analysis, other factors taken together were only 2.6% of the variance. Conclusions.-Significantly injured patients in Switzerland may be considered comparable from a statistical point of view whether insured by the main accident-insurer or not, provided groups are adequately controlled for age and gender. Other differences appear to be only marginal. Respecting these limitations such data can justifiably be given as Swiss reference statistics and the relevant insurer outcome information used for international comparison.

Prospective evaluation of the Quality of Life after Brain Injury (QOLIBRI) score: minor differences in patients with major versus no or mild traumatic brain injury at one-year follow up

Background

The Quality of Life after Brain Injury (QOLIBRI) score was developed to assess disease-specific health-related quality of life (HRQoL) after traumatic brain injury (TBI). So far, validation studies on the QOLIBRI were only conducted in cohorts with traumatic brain injury. This study investigated the longer-term residuals in severely injured patients, focusing specifically on the possible impact of major TBI.

Methods

In a prospective questionnaire investigation, 199 survivors with an injury severity score (ISS) > 15 participated in one-year follow-up. Patients who had sustained major TBI (abbreviated injury scale, AIS head > 2) were compared with patients who had no or only mild TBI (AIS head ≤ 2). Univariate analysis (ANOVA, Cohen’s kappa, Pearson’s r) and stepwise linear regression analysis (B with 95% CI, R, R²) were used.

Results

The total QOLIBRI revealed no differences in one-year outcomes between patients with versus without major TBI (75 and 76, resp.; p = 0.68). With regard to the cognitive subscore, the group with major TBI demonstrated significantly more limitations than the one with no or mild TBI (p < 0.05). The AIS head correlated significantly with the cognitive dimension of the QOLIBRI (r = − 0.16; p < 0.05), but not with the mental components of the SF-36 or the TOP. In multivariate analysis, the influence of the severity of head injury (AIS head) on total QOLIBRI was weaker than that of injured extremities (R² = 0.02; p < 0.05 vs. R² = 0.04; p = 0.001) and equal to the QOLIBRI cognitive subscore (R² = 0.03, p < 0.01 each).

Conclusions

Given the unexpected result of similar mean QOLIBRI total score values and only minor differences in cognitive deficits following major trauma independently of whether patients sustained major brain injury or not, further studies should investigate whether the QOLIBRI actually has the discriminative capacity to detect specific residuals of major TBI. In effect, the score appears to indicate mental deficits following different types of severe trauma, which should be evaluated in more detail.

Trial registration

NCT02165137; retrospectively registered 11 June 2014.