The cross-sectional and longitudinal interconnectedness of physical, psychological and role functioning following physical trauma: A network analysis

OBJECTIVE

Surviving physical trauma can have a large impact on one's daily life. Patients are at increased risk for poor physical health, psychological complaints, and problems in role functioning - which is often experienced simultaneously. The present study explores the interconnectedness of physical, psychological, and role functioning during the first two years post-injury, both cross-sectionally and longitudinally from a network perspective.

METHODS

3785 trauma patients (Mage = 64.2 years, SDage = 18.9 years, 50.5% female) completed questionnaires on physical, psychological, and role functioning across six measurement occasions during the first two years post-injury. The Injury Severity Score (ISS) was retrieved from the local trauma registry. Mixed graphical network models and cross-lagged network models were estimated to examine which items of recovery played a central role and were mostly related to other items in cross-sectional and longitudinal networks respectively.

RESULTS

The cross-sectional networks showed especially strong interconnections between impairments of physical and role functioning and also within post-traumatic stress symptoms. The longitudinal networks extended these results by showing that pain, impaired mobility, limitations in self-care, anxiety/depressive symptoms, and several post-traumatic stress symptoms were strong predictors for impairments in functioning at later stages of recovery.

CONCLUSION

Our findings showed that impairments in physical, psychological, and role functioning experienced by trauma patients are largely intertwined across the two years following injury. Monitoring physical impairments and psychological complaints early in recovery might help to more promptly provide the best fitting aftercare for trauma patients, which can improve recovery on the long-term.

Alleviating severity of limb trauma pain with coadministration of topical sesame oil and standard treatments: A GRADE-assessed systematic review and meta-analysis of randomised controlled trials

Recent randomised controlled trials (RCTs) have investigated the analgesic activity of sesame oil among patients with limb trauma; nevertheless, their findings are inconsistent. Hence, this review aimed to clarify the impact of topical administration of sesame oil on acute pain of adult outpatients with minor limb trauma. The online databases (e.g., Scopus, PubMed, Web of Science) were searched up to 31 January 2024. The RCTs were included if they compared the effect of applying standard treatments plus topical sesame oil to administering standard treatments alone or with a placebo/sham treatment. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) and the Cochrane Collaboration's risk of bias tool were applied to address the evidence quality and the study's methodological rigour, respectively. Four RCTs had the inclusion criteria, and their findings were pooled in a meta-analysis employing a random-effects approach. According to the pooled analysis, the reduction in mean change of the pain score from baseline to the second/third intervention day was significantly higher in favour of clients who received standard care plus daily massage of the trauma site with sesame oil compared to those who received a control condition (weighted mean difference: -1.10; 95% confidence interval [-1.62, -0.57]; p < 0.001). However, the evidence quality was moderate, and only two studies had good methodological rigour. Hence, more high-quality studies are needed to make a solid evidence-based conclusion about the favourable consequence of topical sesame oil on alleviating acute traumatic limb pain.

Health-related quality of life following trauma: Prevalence of problems and factors associated with six-month outcomes in a New Zealand cohort

Injury is a leading cause of health loss in Aotearoa me Te Waipounamu (New Zealand; NZ). The NZ Trauma Registry was established in 2015 to monitor outcomes in those experiencing severe injury and to identify ways of improving the quality of care for these patients. Few NZ studies have assessed outcomes in trauma patients using patient-reported outcome measures (PROMs) despite increasing recognition that the impacts of injury are better understood through PROMs. Our aim was to estimate the prevalence of self-reported problems with health-related quality of life (HRQoL) outcomes six months post-injury, and identify factors associated with these, in a cohort of Māori (the Indigenous population of NZ) and non-Māori individuals who had experienced major trauma. HRQoL outcomes were measured according to the five dimensions of the EQ-5D-5L. This information, along with sociodemographic data, was collected via structured telephone interviews. Participants (n = 870), aged 16 years or more, were recruited following admission to a trauma hospital in one of three (of NZ's four) trauma regions. Multivariable models were developed using modified Poisson Regression to identify factors associated with outcomes for both Māori and non-Māori patients. The prevalence and severity of problems across each of the five EQ-5D-5L dimensions was similar for Māori and non-Māori except for Anxiety/Depression. The prevalence and severity of problems with Anxiety/Depression was greater for Māori. Factors associated with HRQoL problems at six-months were also largely similar for each cohort. Those commonly associated with outcomes were age, hospital length of stay, adequacy of household income, and participants' expectations regarding recovery from injury. Further research examining recovery expectations in trauma patients to determine which factors contribute to formulating recovery expectations, and the potential impact of recovery expectations on treatment and rehabilitation, would be of value. Should expectations, at least in part, influence HRQoL outcomes, then routinely collecting data on patients' recovery expectations, adequacy of household income and potential barriers to treatment and rehabilitation, could help inform post-hospital treatment plans, and identify those who may require additional support following discharge from hospital.

Prognostic Factors for Functional Recovery at 1-Year Following Fragility Hip Fractures

Background

The main objective of treating fragility hip fractures is to maximize the patients' ability to return to their basic activities of daily living (ADL) levels. This study explored prognostic factors associated with the ability to recover pre-fracture ADL levels at 1 year after fragility hip fractures.

Methods

We retrospectively recruited patients admitted with fragility hip fractures between July 2016 and September 2018. Details of the following were extracted from electronic medical records: age, sex, body mass index; pre-fracture Charlson Comorbidity Index (CCI), Barthel index, and EuroQol-Visual Analog Scale (EQ-VAS) scores; pre-fracture ambulatory status; and fracture type and treatment. The primary endpoint was the ability to return to the pre-fracture ADL status at 1 year. Multivariable logistic regression analysis assessed the prognostic ability of predictors.

Results

Of 405 patients, 284 (70.1%) managed to return to their pre-fracture ADL status. Multivariable logistic regression analysis demonstrated that the predictor with the most apparent effect size was pre-fracture EQ-VAS scores ≥ 65 (multivariable odds ratio [mOR], 12.90; p = 0.03). Other influential predictors were CCI scores < 5 (mOR, 1.96; p = 0.01) and surgical treatment for the hip fracture.

Conclusions

Three prognostic factors can predict a hip fracture patient's ability to return to the pre-fracture ambulatory status at 1 year. They are the patient's CCI score, operative treatment for the hip fracture, and the pre-fracture EQ-VAS score. This information could be used to develop a clinical prediction model based on the prognostic factors.

Outcomes after stairway falls in a rural Appalachian trauma center

BACKGROUND

Injuries due to falls represent one of the most common etiologies of traumatic injury in the United States. Stairway-related falls in particular can lead to significant morbidity, mortality, and concomitant long-term disability and economic costs. Our study aims to evaluate the outcomes of patients presenting to a rural academic trauma center after experiencing a fall down stairs.

METHODS

This was a single institution retrospective analysis of data extracted from our trauma registry. The study was considered exempt by Ballad Health Institutional Review Board. The data included patients aged 18 years or older who presented to the emergency department after a fall down stairs between January 1, 2017, and June 17, 2022. Patients who experienced falls other than those involving stairs were excluded.

RESULTS

Of the 439 patients evaluated for falls down stairs, 259 (58.9%) were aged ≥65 years. Compared with younger patients, older patients required significantly longer hospital admissions (4.8 vs 3.6 days, P < .003), had significantly higher injury severity scores (9.1 vs 6.8, P < .05), and were more likely to be discharged to a posthospital care facility (51% vs 14.9%, P < .05). There was no difference in length of intensive care unit stay (3.8 vs 3.6 days, P < .72), ventilator days (3.3 vs 3.3 days, P < .97), or mortality (7% vs 3%, P < .08). When considering sex, male patients had significantly worse outcomes in injury severity score (9.0 vs 7.6, P < .02) and mortality (10% vs 2%, P < .0002) but no difference in hospital (4.5 vs 4.0 days, P < .20), intensive care unit (3.8 vs 3.5 days, P < .59) or ventilator days (2.8 vs 4.3 days, P < .27) when compared with female patients.

CONCLUSION

Patients aged 65 years or older who experience a fall down stairs are more severely injured and require more posthospital care. Our findings demonstrate that males have an elevated risk of mortality and increased injury severity compared to female patients. Previous findings from our institution examining injuries from falls, including a sub-analysis on ground-level falls, have shown similar sex disparity. This study shows the necessity of preventing stair-related falls, especially in the older population.

Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol

BACKGROUND

Many potential prognostic factors for predicting kidney transplantation outcomes have been identified. However, in Switzerland, no widely accepted prognostic model or risk score for transplantation outcomes is being routinely used in clinical practice yet. We aim to develop three prediction models for the prognosis of graft survival, quality of life, and graft function following transplantation in Switzerland.

METHODS

The clinical kidney prediction models (KIDMO) are developed with data from a national multi-center cohort study (Swiss Transplant Cohort Study; STCS) and the Swiss Organ Allocation System (SOAS). The primary outcome is the kidney graft survival (with death of recipient as competing risk); the secondary outcomes are the quality of life (patient-reported health status) at 12 months and estimated glomerular filtration rate (eGFR) slope. Organ donor, transplantation, and recipient-related clinical information will be used as predictors at the time of organ allocation. We will use a Fine & Gray subdistribution model and linear mixed-effects models for the primary and the two secondary outcomes, respectively. Model optimism, calibration, discrimination, and heterogeneity between transplant centres will be assessed using bootstrapping, internal-external cross-validation, and methods from meta-analysis.

DISCUSSION

Thorough evaluation of the existing risk scores for the kidney graft survival or patient-reported outcomes has been lacking in the Swiss transplant setting. In order to be useful in clinical practice, a prognostic score needs to be valid, reliable, clinically relevant, and preferably integrated into the decision-making process to improve long-term patient outcomes and support informed decisions for clinicians and their patients. The state-of-the-art methodology by taking into account competing risks and variable selection using expert knowledge is applied to data from a nationwide prospective multi-center cohort study. Ideally, healthcare providers together with patients can predetermine the risk they are willing to accept from a deceased-donor kidney, with graft survival, quality of life, and graft function estimates available for their consideration.

STUDY REGISTRATION

Open Science Framework ID: z6mvj.

Comparing health status after major trauma across different levels of trauma care

INTRODUCTION

Mortality due to trauma has reduced the past decades. Trauma network implementations have been an important contributor to this achievement. Besides mortality, patient reported outcome parameters should be included in evaluation of trauma care. While concentrating major trauma care, hospitals are designated with a certain level of trauma care following specific criteria.

OBJECTIVE

Comparing health status of major trauma patients after two years across different levels of trauma care in trauma networks.

METHODS

Multicentre observational study comprising a secondary longitudinal multilevel analysis on prospective cohorts from two neighbouring trauma regions in the Netherlands.

INCLUSION CRITERIA

patient aged ≥ 18 with an ISS > 15 surviving their injuries at least one year after trauma. Health status was measured one and two years after trauma by EQ-5D-5 L, added with a sixth health dimension on cognition. Level I trauma centres were considered as reference in uni- and multivariate analysis.

RESULTS

Respondents admitted to a level I trauma centre scored less favourable EQ-US and EQ-VAS in both years (0.81-0.81, 71-75) than respondents admitted to a level II (0.88-0.87, 78-85) or level III (0.89-0.88, 75-80) facility. Level II facilities scored significantly higher EQ-US and EQ-VAS in time for univariate analysis (β 0.095, 95% CI 0.038-0.153, p = 0.001, and β 7.887, 95% CI 3.035-12.740, p = 0.002), not in multivariate analysis (β 0.052, 95% CI -0.010-0.115, p = 0.102, and β 3.714, 95% CI -1.893-9.321, p = 0.193). Fewer limitations in mobility (OR 0.344, 95% CI 0.156-0.760), self-care (OR 0.219, 95% CI 0.077-0.618), and pain and discomfort (OR 0.421, 95% CI 0.214-0.831) remained significant for level II facilities in multivariate analysis, whereas significant differences with level III facilities disappeared.

CONCLUSION

Major trauma patients admitted to level I trauma centres reported a less favourable general health status and more limitations compared to level II and III facilities scoring populations norms one to two years after trauma. Differences on general health status and limitations in specific health domains disappeared in adjusted analysis. Well-coordinated trauma networks offer homogeneous results for all major trauma patients when they are distributed in different centres according to their need of care.

Funnel plots a graphical instrument for the evaluation of population performance and quality of trauma care: a blueprint of implementation

BACKGROUND

Using patient outcomes to monitor medical centre performance has become an essential part of modern health care. However, classic league tables generally inflict stigmatization on centres rated as "poor performers", which has a negative effect on public trust and professional morale. In the present study, we aim to illustrate that funnel plots, including trends over time, can be used as a method to control the quality of data and to monitor and assure the quality of trauma care. Moreover, we aimed to present a set of regulations on how to interpret and act on underperformance or overperformance trends presented in funnel plots.

METHODS

A retrospective observational cohort study was performed using the Dutch National Trauma Registry (DNTR). Two separate datasets were created to assess the effects of healthy and multiple imputations to cope with missing values. Funnel plots displaying the performance of all trauma-receiving hospitals in 2020 were generated, and in-hospital mortality was used as the main indicator of centre performance. Indirect standardization was used to correct for differences in the types of cases. Comet plots were generated displaying the performance trends of two level-I trauma centres since 2017 and 2018.

RESULTS

Funnel plots based on data using healthy imputation for missing values can highlight centres lacking good data quality. A comet plot illustrates the performance trend over multiple years, which is more indicative of a centre's performance compared to a single measurement. Trends analysis offers the opportunity to closely monitor an individual centres' performance and direct evaluation of initiated improvement strategies.

CONCLUSION

This study describes the use of funnel and comet plots as a method to monitor and assure high-quality data and to evaluate trauma centre performance over multiple years. Moreover, this is the first study to provide a regulatory blueprint on how to interpret and act on the under- or overperformance of trauma centres. Further evaluations are needed to assess its functionality.

LEVEL OF EVIDENCE

Retrospective study, level III.

Effects of the establishment of trauma centres on the mortality rate among seriously injured patients: a propensity score matching retrospective study

BACKGROUND

Little evidence suggests that trauma centres are associated with a lower risk of mortality in severely injured patients (Injury Severity Score (ISS) ≥16) with multiple injuries in China. The objective of this study was to determine the association between the establishment of trauma centres and mortality among severely injured patients with multiple injuries and to identify some risk factors associated with mortality.

METHODS

A retrospective single-centre study was performed including trauma patients admitted to the First Affiliated Hospital of Nanchang University (FAHNU) between January 2016 and December 2021. To determine whether the establishment of a trauma centre was an independent predictor of mortality, logistic regression analysis and propensity score matching (PSM) were performed.

RESULTS

Among 431 trauma patients, 172 were enrolled before the trauma centre was built, while 259 were included after the trauma centre was built. A higher frequency of older age and traffic accident injury was found in patients diagnosed after the trauma centre was built. The times for the completion of CT examinations, emergency operations and blood transfusions in the "after trauma centre" group were shorter than those in the "before trauma centre" group. However, the total expenditure of patients was increased. In the overall group, univariate and multivariate logistic regression analyses showed that a higher ISS was an independent predictor for worse mortality (OR = 17.859, 95% CI, 8.207-38.86, P < 0.001), while the establishment of a trauma centre was favourable for patient survival (OR = 0.492), which was also demonstrated by PSM. After determining the cut-off value of time for the completion of CT examination, emergency operation and blood transfusion, we found that the values were within the "golden one hour", and it was better for patients when the time was less than the cut-off value.

CONCLUSION

Our study showed that for severely injured patients, the establishment of a trauma centre was favourable for a lower mortality rate. Furthermore, the completion of a CT examination, emergency surgery and blood transfusion in a timely manner and a lower ISS were associated with a decreased mortality rate.

Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery

Predicting recovery after trauma is important to provide patients a perspective on their estimated future health, to engage in shared decision making and target interventions to relevant patient groups. In the present study, several unsupervised techniques are employed to cluster patients based on longitudinal recovery profiles. Subsequently, these data-driven clusters were assessed on clinical validity by experts and used as targets in supervised machine learning models. We present a formalised analysis of the obtained clusters that incorporates evaluation of (i) statistical and machine learning metrics, (ii) clusters clinical validity with descriptive statistics and medical expertise. Clusters quality assessment revealed that clusters obtained through a Bayesian method (High Dimensional Supervised Classification and Clustering) and a Deep Gaussian Mixture model, in combination with oversampling and a Random Forest for supervised learning of the cluster assignments provided among the most clinically sensible partitioning of patients. Other methods that obtained higher classification accuracy suffered from cluster solutions with large majority classes or clinically less sensible classes. Models that used just physical or a mix of physical and psychological outcomes proved to be among the most sensible, suggesting that clustering on psychological outcomes alone yields recovery profiles that do not conform to known risk factors.

Content validity and measurement properties of the Lower Extremity Functional Scale in patients with fractures of the lower extremities: a systematic review

Background

Fractures of lower extremities are common trauma-related injuries, and have major impact on patients' functional status. A frequently used Patient-Reported Outcome Measure (PROM) to evaluate patients’ functional status with lower extremity fractures is the Lower Extremity Functional Scale (LEFS). However, there is no systematic review regarding content validity and other measurement properties of the LEFS in patients with lower extremity fractures.

Methods

A search was performed in PubMed, Embase, Scopus, and Cochrane Library from inception until November 2020. Studies on development of the LEFS and/or the evaluation of one or more measurement properties of the LEFS in patients with lower extremity fractures were included, and independently assessed by two reviewers using COSMIN guidelines.

Results

Seven studies were included. Content validity of the LEFS was rated 'inconsistent', supported by very low quality of evidence. Structural validity was rated ‘insufficient’ supported by doubtful methodological quality. Internal consistency, measurement error, and responsiveness were rated 'indeterminate' supported by inadequate to adequate methodological quality. The methodological quality of the construct validity (hypotheses testing) assessment was rated as 'inadequate'.

Conclusion

The LEFS has several shortcomings, the lack of sufficient content validity being the most important one as content validity is considered the most crucial measurement property of a PROM according to the COSMIN guidelines. In interpreting the outcomes, one should therefore be aware that not all relevant aspects of physical functioning may be accounted for in the LEFS. Further validation in a well-designed content validity study is needed, including a clearly defined construct and patient involvement during the assessment of different aspects of content validity.

Plain English summary

Bone fractures of the lower extremities are a common injury. During rehabilitation it is essential to evaluate how patients experience their physical functioning, in order to monitor the progress and to optimize treatment. To measure physical functioning often questionnaires (also known as Patient Reported Outcome Measures) are used, such as the Lower Extremity Functional Scale (LEFS). However, it is not clear if the LEFS actually measures physical function, and if its other measurement properties are sufficient for using this questionnaire among patients with fractures in the lower extremities. Therefore, we systematically searched and assessed scientific papers on the development of the LEFS (i.e., its ability to measure physical functioning), and papers on the performance of the LEFS with regard to several measurement properties to identify possible factors that may cause measurement errors. Hereby we have assessed the quality of the studies included. Our main finding was that the LEFS may not measure all aspects of physical function. Given the low quality of the papers included in our study, these findings come with considerable uncertainty. As the LEFS was developed more than 20 years ago, it may not represent physical functioning as we currently conceptualize this. Therefore, we recommend to perform a study in which the content of the LEFS will be evaluated by experts in the field as well as patients, and modify the questionnaire as needed.

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)

Health-related quality of life and return to work 1 year after major trauma from a network perspective

Introduction

Major trauma often results in long-term disabilities. The aim of this study was to assess health-related quality of life, cognition, and return to work 1 year after major trauma from a trauma network perspective.

Methods

All major trauma patients in 2016 (Injury Severity Score > 15, n = 536) were selected from trauma region Southwest Netherlands. Eligible patients (n = 365) were sent questionnaires with the EQ-5D-5L and questions on cognition, level of education, comorbidities, and resumption of paid work 1 year after trauma.

Results

A 50% (n = 182) response rate was obtained. EQ-US and EQ-VAS scored a median (IQR) of 0.81 (0.62–0.89) and 70 (60–80), respectively. Limitations were prevalent in all health dimensions of the EQ-5D-5L; 90 (50%) responders reported problems with mobility, 36 (20%) responders reported problems with self-care, 108 (61%) responders reported problems during daily activities, 129 (73%) responders reported pain or discomfort, 70 (39%) responders reported problems with anxiety or depression, and 102 (61%) of the patients reported problems with cognition. Return to work rate was 68% (37% full, 31% partial). A median (IQR) EQ-US of 0.89 (0.82–1.00) and EQ-VAS of 80 (70–90) were scored for fully working responders; 0.77 (0.66–0.85, p < 0.001) and 70 (62–80, p = 0.001) for partial working respondents; and 0.49 (0.23–0.69, p < 0.001) and 55 (40–72, p < 0.001) for unemployed respondents.

Conclusion

The majority experience problems in all health domains of the EQ-5D-5L and cognition. Return to work status was associated with all health domains of the EQ-5D-5L and cognition.

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.

Effectiveness and cost-effectiveness of the Transmural Trauma Care Model investigated in a multicenter trial with a controlled before-and-after design: A study protocol

OBJECTIVE

The rehabilitation of trauma patients in primary care is challenging, and there are no guidelines for optimal treatment. Also, the organization of care is not well-structured. The Transmural Trauma Care Model (TTCM) has been developed in the Netherlands, aiming to improve patient outcomes by optimizing the organization and the quality of the rehabilitation process in primary care. A recent feasibility study showed that implementation of the TTCM at a Dutch Level 1 trauma center was feasible, patient outcomes were improved, and costs were reduced. This study aims to assess the effectiveness and cost-effectiveness of the TTCM compared to the usual care in a multicenter trial.

METHODS

A multicenter trial with a controlled before-and-after design will be performed at 10 hospitals in the Netherlands. First, participating hospitals will include 322 patients in the control group, receiving usual care as provided in these specific hospitals. Subsequently, the TTCM will be implemented in all participating hospitals, and hospitals will include an additional 322 patients in the intervention group. The TTCM consists of a multidisciplinary team at the outpatient clinic (trauma surgeon and hospital-based physical therapist), an educated and trained network of primary care trauma physical therapists, and structural communication between them. Co-primary outcomes will investigate generic and disease-specific, health-related quality of life. Secondary outcomes will include pain, patient satisfaction, perceived recovery, and patient-reported physical functioning. For the economic evaluation, societal and healthcare costs will be measured. Measurements will take place at baseline and after 6 weeks, 3, 6, and 9 months. Analyses will be based on the intention-to-treat principle. Missing data will be handled using longitudinal data analyses in the effect analyses and by multivariate imputation in the economic evaluation.

CONCLUSION

This trial with a controlled before-and-after design will give insight into the effectiveness and cost-effectiveness of the TTCM in a multicenter trial.

Psychological risk factors that characterize the trajectories of quality of life after a physical trauma: a longitudinal study using latent class analysis

BACKGROUND

The course and corresponding characteristics of quality of life (QOL) domains in trauma population are unclear. Our aim was to identify longitudinal QOL trajectories and determine and predict the sociodemographic, clinical, and psychological characteristics of trajectory membership in physical trauma patients using a biopsychosocial approach.

METHODS

Patients completed a questionnaire set after inclusion, and at 3, 6, 9, and 12 months follow-up. Trajectories were identified using repeated-measures latent class analysis. The trajectory characteristics were ranked using Cohen's d effect size or phi coefficient.

RESULTS

Altogether, 267 patients were included. The mean age was 54.1 (SD = 16.1), 62% were male, and the median injury severity score was 5.0 [2.0-9.0]. Four latent trajectories were found for psychological health and environment, five for physical health and social relationships, and seven trajectories were found for overall QOL and general health. The trajectories seemed to remain stable over time. For each QOL domain, the identified trajectories differed significantly in terms of anxiety, depressive symptoms, acute stress disorder, post-traumatic stress disorder, Neuroticism, trait anxiety, Extraversion, and Conscientiousness.

DISCUSSION

Psychological factors characterized the trajectories during 12 months after trauma. Health care providers can use these findings to identify patients at risk for impaired QOL and offer patient-centered care to improve QOL.

The prevalence and prognostic factors of psychological distress in older patients with a hip fracture: A longitudinal cohort study

INTRODUCTION

A hip fracture can be experienced as a traumatic event that can induce psychological distress. The aim of this study is to give more insight into the prevalence of symptoms of psychological distress in older patients following the first year after a hip fracture. In addition, prognostic factors were determined for psychological distress after hip fracture.

MATERIALS AND METHODS

This hip fracture cohort data was derived from the Brabant Injury Outcome Surveillance, a multicenter longitudinal prospective cohort study. Hip fracture patients (≥65years) admitted to a hospital between August 2015 and November 2016 were asked to complete a questionnaire at 1 week, and 1, 3, 6 and 12 months. The Hospital Anxiety and Depression Scale (HADS) was used to assess symptoms of anxiety and depression and the Impact of Event Scale (IES) was used to assess symptoms of posttraumatic stress (PTS). Prognostic factors were assessed with multivariable logistic mixed models.

RESULTS

In total 570 patients (inclusion rate: 69.7%) were included. The prevalence of psychological distress ranged from 36% at 1 week to 31% at 1 year after hip fracture. Frailty at onset of hip fracture was the most important prognostic factor of symptoms of depression (Odds ratio (OR), 2.74; 95% Confidence interval (CI) 1.41 to 5.34) and anxiety (OR, 2.60; 95% CI 1.15 to 5.85) on average in the year following hip fracture. Frailty was not a prognostic factor of symptoms of PTS (OR, 1.97; 95% CI 0.42 to 9.23).

CONCLUSIONS

The prevalence of psychological distress is high in the first year after a hip fracture. Frailty at onset of a hip fracture is the most important prognostic factor of symptoms of depression and anxiety. These findings have important implications for strategies with early identification of frail patients with a hip fracture at high risk of psychological distress.

Frailty in older patients undergoing emergency colorectal surgery: USA National Surgical Quality Improvement Program analysis

Background

Frailty is associated with advancing age and may result in adverse postoperative outcomes. A suspected growing elderly population needing emergency colorectal surgery stimulated this study of the prevalence and impact of frailty.

Methods

Elderly patients (defined as aged at least 65 years by Medicare and the United States Census Bureau) who underwent emergency colorectal resection between 2012 and 2016 were identified from the American College of Surgeons National Surgical Quality Improvement Program population database. The five-item modified frailty index (mFI-5) score was calculated, and patients stratified into groups 0, 1 or 2 +. Main outcome measures were the prevalence of frailty, and its impact on 30-day postoperative morbidity, mortality, reoperation, duration of hospital stay (LOS), discharge destination and readmission.

Results

A total of 10 025 patients were identified with a median age 75 years, of whom 41·8 per cent were men. The majority (87·7 per cent) had an ASA fitness grade of III or greater and 3129 (31·2 per cent) were frail (mFI-5 group 2+). Major morbidity occurred in one-third of patients and the postoperative mortality rate was 15·9 per cent. Some 52·0 per cent of patients had a prolonged hospital stay and 11·0 per cent were readmitted. Although most patients (88·0 per cent) lived independently before surgery, only 45·4 per cent were discharged home directly. Frailty (mFI-5 2+) predicted mortality, overall and major morbidity, reoperation, prolonged LOS, discharge to an institution and readmission, but frailty was independent of sex.

Conclusion

Frailty is associated with morbidity, mortality and loss of independence in elderly patients needing emergency colorectal surgery.

Longitudinal analysis of health status the first year after trauma in severely injured patients

PURPOSE

While survival rates after a trauma are increasing a considerable part of the trauma population are still at risk for both short and long term disabilities. Little is known about prognostic factors over time after a severe trauma. The aim of the present prospective cohort study was to examine trauma and patient related prognostic factors for a lower health status over time after a severe trauma.

METHODS

A multicentre prospective observational cohort study was conducted. Adult trauma patients with severe injuries (ISS ≥ 16) were included from August 2015 until November 2016 if admitted to one of the hospitals in Noord-Brabant (the Netherlands). Outcome measure was health status, measured by the EuroQol-5D (EQ-5D utility and EQ-Visual analogue scale) and the Health Utilities Index (HUI2 and HUI3) one week and one, three, six, and twelve months after injury. Patient and trauma characteristics were analysed as prognostic factors with linear mixed models. The effect of each prognostic factor over time was analysed by adding the interaction term between the prognostic factor and time point in a multivariable linear mixed model, adjusted for confounders. Additionally, the risk factors for problems in the EQ-5 dimensions of HS and cognition were analysed.

RESULTS

In total 239 severely injured patients participated. Pre-injury health status, hospital length of stay, ISS and comorbidities were significant prognostic factors for a lower health status. A younger age and extremity injury were prognostic factors for a lower health status until one month after trauma and unemployment before trauma and comorbidities six until twelve months after trauma. In the EQ-5 dimensions 44.1% remained problems in mobility, 15.3% in self-care, 46.4% in activity, 53.3% in pain, 32.5% in anxiety and 35.7% in cognition.

CONCLUSIONS

Lower pre-injury health status, longer hospital length of stay, higher ISS, and comorbidities were significant prognostic factors for a lower health status during one year after a severe injury. A younger age and an extremity injury were short-term prognostic factors and unemployment before trauma and comorbidities were long-term prognostic factors. Even after twelve months patients in our population reported more problems in all EQ-5D dimensions when compared to the Dutch reference population.