Trauma systems in high socioeconomic index countries in 2050.

Considerable political, structural, environmental and epidemiological change will affect high socioeconomic index (SDI) countries over the next 25 years. These changes will impact healthcare provision and consequently trauma systems. This review attempts to anticipate the potential impact on trauma systems and how they could adapt to meet the changing priorities. The first section describes possible epidemiological trajectories. A second section exposes existing governance and funding challenges, how these can be met, and the need to incorporate data and information science into a learning and adaptive trauma system. The last section suggests an international harmonization of trauma education to improve care standards, optimize immediate and long-term patient needs and enhance disaster preparedness and crisis resilience. By demonstrating their capacity for adaptation, trauma systems can play a leading role in the transformation of care systems to tackle future health challenges.

Comparing Patient-Reported Outcomes Measurement Information System Computer Adaptive Testing With Existing Measures After Operative Interventions for Extremity Fractures.

INTRODUCTION: Patient-Reported Outcomes Measurement Information System (PROMIS) enables the use of computer adaptive testing (CAT). The aim of this prospective cohort study was to compare the most commonly used disease-specific instruments with PROMIS CAT questionnaires in patients with trauma. METHODS: All patients with trauma (ages 18-75) who underwent an operative intervention for an extremity fracture between June 1, 2018, and June 30, 2019, were included. The disease-specific instruments were the Quick Disabilities of the Arm, Shoulder, and Hand for upper extremity fractures and the Lower Extremity Functional Scale (LEFS) for lower extremity fractures. Pearson's correlation (r) between the disease-specific instruments and the PROMIS CAT questionnaires (PROMIS Physical Function, PROMIS Pain Interference, and PROMIS Ability to Participate in Social Roles and Activities) was calculated at week 2, week 6, month 3, and month 6. Construct validity and responsiveness were calculated. RESULTS: A total of 151 patients with an upper extremity fracture and 109 patients with a lower extremity fracture were included. At month 3 and month 6, the correlation was strong between the LEFS and PROMIS Physical Function (r = 0.88 and r = 0.90, respectively), and at month 3, the correlation was strong between the LEFS and PROMIS Social Roles and Activities (r = 0.72). At week 6, month 3, and month 6, there was a strong correlation between the Quick Disabilities of the Arm, Shoulder, and Hand and PROMIS Physical Function (r = 0.74, r = 0.70, and r = 0.76, respectively). CONCLUSIONS: The PROMIS CAT measures are acceptably related to existing non-CAT instruments and may be a useful tool during follow-up after operative interventions for extremity fractures.

The Detrimental Impact of the COVID-19 Pandemic on Major Trauma Outcomes in the Netherlands: A Comprehensive Nationwide Study.

OBJECTIVE: To evaluate the impact of the COVID-19 pandemic on the outcome of major trauma patients in the Netherlands. SUMMARY BACKGROUND DATA: Major trauma patients highly rely on immediate access to specialized services, including ICUs, shortages caused by the impact of the COVID-19 pandemic may influence their outcome. METHODS: A multi-center observational cohort study, based on the Dutch National Trauma Registry was performed. Characteristics, resource usage, and outcome of major trauma patients (injury severity score ≥16) treated at all trauma-receiving hospitals during the first COVID-19 peak (March 23 through May 10) were compared with those treated from the same period in 2018 and 2019 (reference period). RESULTS: During the peak period, 520 major trauma patients were admitted, versus 570 on average in the pre-COVID-19 years. Significantly fewer patients were admitted to ICU facilities during the peak than during the reference period (49.6% vs 55.8%; P=0.016). Patients with less severe traumatic brain injuries in particular were less often admitted to the ICU during the peak (40.5% vs 52.5%; P=0.005). Moreover, this subgroup showed an increased mortality compared to the reference period (13.5% vs 7.7%; P=0.044). These results were confirmed using multivariable logistic regression analyses. In addition, a significant increase in observed versus predicted mortality was recorded for patients who had a priori predicted mortality of 50% to 75% (P=0.012). CONCLUSIONS: The COVID-19 peak had an adverse effect on trauma care as major trauma patients were less often admitted to ICU and specifically those with minor through moderate brain injury had higher mortality rates.

Trajectories and prognostic factors for recovery after hip fracture: a longitudinal cohort study.

PURPOSE: The aim of this study was to determine recovery trajectories and prognostic factors for poor recovery in frail and non-frail patients after hip fracture. METHODS: Patients with a hip fracture aged 65 years and older admitted to a hospital in the Netherlands from August 2015 to November 2016 were asked to complete questionnaires at one week and one, three, six, 12, and 24 months after injury. The questionnaires included the ICEpop CAPability measure for older people, Health Utility Index, and the Hospital Anxiety Depression Scale. Latent class trajectory analysis was used to determine trajectories of recovery. Patient and injury characteristics for favourable and unfavourable outcome were compared with logistic regression. RESULTS: In total, 696 patients were included of which 367 (53%) patients were frail. Overall, recovery trajectories in frail patients were worse compared to trajectories in non-frail patients. In frail patients, poor recovery was significantly associated with dementia. Lower age was a prognostic factor for good recovery. Immobility, loneliness and weight loss were prognostic for respectively poor capability and symptoms of anxiety and depression. In non-frail patients, recovery after hip fracture was associated with loneliness and the type of hip fracture. CONCLUSION: Although frailty is associated with poor recovery in older patients with hip fracture, a large proportion of frail patients show good recovery. Loneliness determines poor recovery with anxiety and depressive symptoms. TRAIL REGISTRATION: ClinicalTrials.gov identifier: NCT02508675 (July 27, 2015).

Conventional and retrospective change in health-related quality of life of trauma patients: an explorative observational follow-up study.

BACKGROUND: Within trauma care measurement of changes in health-related quality of life (HRQL) is used in understanding patterns of recovery over time. However, conventionally-measured change in HRQL may not always reflect the change in HRQL as perceived by the patient. Recall bias and response shift may contribute to disagreement between conventional and retrospective change in HRQL. This study aimed to measure conventional and retrospective change of HRQL and assess to which extent recall bias and response shift contribute to disagreement between these two in a heterogeneous sample of adult trauma patients. METHODS: A sample of trauma patients (≥18 years) who attended the Emergency Department and were admitted to an Intensive Care unit or ward of one of ten Dutch hospitals received postal questionnaires 1 week (T1) and 3 months (T2) post-injury. At T1 and T2 participants completed the EQ-5D-3 L and EQ-VAS for their current health status. At T2 participants also filled out a recall and then-test regarding their health status at T1. The responses were used to assess conventional and retrospective change, recall bias and response shift. Wilcoxon signed rank tests were used to examine conventional and retrospective change on a group level. The intraclass correlation coefficient (ICC) was used to examine individual agreement between conventional and retrospective change. Uni- and multivariate linear regression analysis were used to investigate the association between background factors and recall bias and response shift. RESULTS: The EQ-5D-3 L, recall and then-test were completed by 550 patients. Mean EQ-5D-3 L summary score improved from 0.48 at T1 to 0.74 at T2. Mean EQ-VAS score improved from 56 at T1 to 73 at T2. Retrospective change was significantly higher than conventional change (EQ-5D-3 L: Z = -5.2, p < 0.05; EQ-VAS Z = -2.1, p < 0.05). Pairwise comparisons showed that agreement between conventional and retrospective change was fair (EQ-5D-3 L: ICC = 0.49; EQ-VAS: ICC = 0.48). For EQ-5-3 L response shift was significantly higher than recall bias (Z = - 4.5, p < 0.05). Patients with traumatic brain injury (TBI), severe injury and/or posttraumatic stress symptoms were more susceptible to recall bias and response shift. CONCLUSIONS: We conclude that, compared to recall bias, response shift contributed more to the disagreement between conventional and retrospective change in EQ-5D-3 L summary score and EQ-VAS. Predictable subgroups of trauma patients were more susceptible to recall bias and response shift.

Prevalence and Prognostic Factors for Psychological Distress After Trauma.

OBJECTIVE: To describe the prevalence and prognostic factors of symptoms of anxiety and depression and posttraumatic stress symptoms (PTSS) after injury in the clinical trauma population. DESIGN: Multicenter, prospective, observational cohort study. SETTING: Ten hospitals in Noord-Brabant, The Netherlands. PARTICIPANTS: Four thousand two hundred thirty-nine adult patients (N=4239) admitted due to injury between August 2015 and December 2016. INTERVENTIONS: Patients were asked to complete a questionnaire at 1 week and at 1, 3, 6, and 12 months after injury. MAIN OUTCOME MEASURES: The Hospital Anxiety and Depression Scale was used to assess anxiety and depressive symptoms and the Impact of Event Scale was used to assess PTSS. RESULTS: The prevalence of symptoms of anxiety and depression decreased from 10% and 12%, respectively, at 1 week after injury to 7% and 7% at 12 months after injury. Acute traumatic stress symptoms were present in 13% at 1 week and PTSS was prevalent in 10% of the participants at 12 months after injury. Strong prognostic factors for poor psychological outcome in multivariable logistic mixed models were preinjury frailty, psychological complaints and nonworking status preinjury, female sex, low educational level, and accident category (ie, traffic accident, work-related accident, or accidents at home compared to sport injuries). CONCLUSIONS: Psychological distress is a common health problem during the first year after injury. Important prognostic factors for psychological distress include psychological complaints before injury and frailty. Early recognition of psychological problems after injury could facilitate discussion between caregivers and patients and improve recovery.

Health care costs of injury in the older population: a prospective multicentre cohort study in the Netherlands.

BACKGROUND: With the ageing population, the number of older trauma patients has increased. The aim of this study was to assess non-surgical health care costs of older trauma patients and to identify which characteristics of older trauma patients were associated with high health care costs. METHODS: Trauma patients aged ≥65 years who were admitted to a hospital in Noord-Brabant, the Netherlands, were included in the Brabant Injury Outcome Surveillance (BIOS) study. Non-surgical in-hospital and up to 24- months post-hospital health care use were obtained from hospital registration data and collected with the iMTA Medical Consumption Questionnaire which patients completed 1 week and 1, 3, 6, 12 and 24 months after injury. Log-linked gamma generalized linear models were used to identify cost-driving factors. RESULTS: A total of 1910 patients were included in the study. Mean total health care costs per patient were €12,190 ranging from €8390 for 65-69 year-olds to €15,550 for those older than 90 years. Main cost drivers were the post-hospital costs due to home care and stay at an institution. Falls (72%) and traffic injury (15%) contributed most to the total health care costs, although costs of cause of trauma varied with age and sex. In-hospital costs were especially high in patients with high injury severity, frailty and comorbidities. Age, female sex, injury severity, frailty, having comorbidities and having a hip fracture were independently associated with higher post-hospital health care costs. CONCLUSIONS: In-hospital health care costs were chiefly associated with high injury severity. Several patient and injury characteristics including age, high injury severity, frailty and comorbidity were associated with post-hospital health care costs. Both fall-related injuries and traffic-related injuries are important areas for prevention of injury in the older population.

What is the value of 3D virtual reality in understanding acetabular fractures?

BACKGROUND: Acetabular fractures are difficult to classify owing to the complex three-dimensional (3D) anatomy of the pelvis. 3D printing helps to understand and reliably classify acetabular fracture types. 3D-virtual reality (VR) may have comparable benefits. Our hypothesis is that 3D-VR is equivalent to 3D printing in understanding acetabular fracture patterns. METHODS: A total of 27 observers of various experience levels from several hospitals were requested to classify twenty 3D printed and VR models according to the Judet-Letournel classification. Additionally, surgeons were asked to state their preferred surgical approach and patient positioning. Time to classify each fracture type was recorded. The cases were randomized to rule out a learning curve. Inter-observer agreement was analyzed using Fleiss' kappa statistics (κ). RESULTS: Inter-observer agreements varied by observer group and type of model used to classify the fracture: medical students: 3D print (κ = 0.61), VR (κ = 0.41); junior surgical residents: 3D print (0.51) VR (0.54); senior surgical residents: 3D print (0.66) VR (0.52); junior surgeons: 3D print (0.56), VR (0.43); senior surgeons: 3D print (κ = 0.59), VR (κ = 0.42). Using 3D printed models, there was more agreement on the surgical approach (junior surgeons κ = 0.23, senior surgeons κ = 0.31) when compared with VR (junior surgeons κ = 0.17, senior surgeons 0.25). No difference was found in time used to classify these fractures between 3D printing and VR for all groups (P = 1.000). CONCLUSIONS: The Judet-Letournel acetabular classification stays difficult to interpret; only moderate kappa agreements were found. We found 3D-VR inferior to 3D printing in classifying acetabular fractures. Furthermore, the current 3D-VR technology is still not practical for intra-operative use.

Agreement between retrospectively assessed health-related quality of life collected 1 week and 12 months post-injury: an observational follow-up study.

BACKGROUND: Retrospective 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. METHODS: A 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. RESULTS: One 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. CONCLUSIONS: Despite 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.

Perceived Changes in Quality of Life in Trauma Patients: A Focus Group Study.

Quality of life (QoL) following a physical trauma is still insufficiently known from a patient perspective. The aim of this study was to qualitatively report perceived changes in QoL after trauma. Focus groups were conducted. Patients admitted to the hospital were eligible for inclusion if they had a lower extremity trauma, severe injuries, or severe traumatic brain injury (TBI). Patients 75 years or older were invited. To analyze the perceived changes in QoL, open coding was used. Patients (n = 20, M = 55 years) reported comparable consequences. In the first month posttrauma, physical limitations, independency, pain, and anxiety predominated. Later, patients experienced problems with acceptance. The patients' feelings of the need to have control over their own situation, their own expectations, and a social network were related to QoL. Compared with the other patient groups, TBI patients reported more psychosocial consequences, and elderly patients reported more difficulties in performing (social) activities. Quality of health care was considered an important aspect in the patients' perceived QoL, and adequate aftercare was missed according to the patients. The impact of a trauma influences QoL in different health domains. Further improving the quality of aftercare may positively influence trauma patients' perceived QoL. These results indicated that TBI patients and elderly patients deserve specific attention regarding QoL.

Using PROM(I)S to measure health-related quality of life in patients with a bone fracture: An observational cohort study.

INTRODUCTION: The incidence of patients with fractures is increasing and so is the impact on health care systems and society. To improve patient care, measurement of disabilities and impaired health experiences after traumatic musculoskeletal injuries are important. Next to objective clinical parameters, PROM(I)S can be used to map health domains important to patients. We aimed to objectify different aspects of (health-related) quality of life in fracture patients, including the ability to participate in social roles and activities using PROMIS among other PROMs. METHODS: An observational cohort study was performed in which health-related quality of life in fracture patients was measured. Patients aged 18 year and older either treated conservatively or surgically between November 2020 and June 2022 were included. Participants were followed for a maximum of one year and completed the following PROMs: PROMIS-CAT physical function, PROMIS-CAT pain interference, PROMIS-CAT ability to participate in social roles and activities and LEFS or QDASH. We applied a univariate linear mixed model to evaluate significance of improvement. RESULTS: Seven hundred-forty six patients with a mean age of 54.4 years were included. Mean PROMIS scores were structurally inferior in the lower extremity (LE) fracture group in comparison with the upper extremity (UE) fracture group. For "PROMIS physical function", UE fracture patients performed better and showed physical progression earlier. For "PROMIS pain interference", UE fracture patients experienced fewer limitations, but it took longer to experience improvement in this group. For "PROMIS ability to participate in social roles", significant improvement was only seen in the UE fracture group at one year follow up. CONCLUSION: Upper -and lower extremity fractures can have a significant impact on physical function and social health. Patients with UE fractures tend to have fewer limitations compared to LE fracture patients. Physical function and pain interference is most impaired shortly after the injury in all fracture patients and show significant changes over time, social health improves less over time. Moment of measurement should be based on type of fracture and can differ between individual patients, but when generic measures and outcomes are desirable, PROMIS questionnaires can potentially be used measurement.

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.

Patient and proxy perspectives in decision-making for geriatric hip fracture management in the Netherlands: a qualitative study.

OBJECTIVE: The objective of this study was to explore the perspectives with the decision-making process between surgery and palliative, non-operative management of geriatric hip fracture patients and their proxies. DESIGN: A qualitative interview study was performed. Patients and proxies were asked to participate in semi-structured interviews. Data were analysed using reflexive thematic analysis according to Braun and Clarke's six-step guide. SETTING AND PARTICIPANTS: Hip fracture patients in the Netherlands were eligible for inclusion. For hip fracture patients with a pre-existing diagnosis of dementia and for patients who opted for palliative, non-operative management, proxies were included. RESULTS: A total of 16 interviews were conducted, consisting of 4 patient interviews and 12 proxy interviews. Five themes were identified during thematic analysis: (1) underlying patient values, (2) the provision of information, (3) reasons to consider either palliative, non-operative management or surgery, (4) involvement in decision and (5) realisation of expectations. Information provided by the physician varied in terms of desired level of detail but involved discussing the advantages and disadvantages of surgery and palliative, non-operative management. Patients and proxies underscored the importance of achieving optimal quality of life, and the disparity between expected and actual treatment outcomes was unpleasant and negatively influenced the overall experience. CONCLUSIONS: In-depth analysis provided a unique insight into the patient and proxy perspectives in shared decision-making for geriatric hip fracture management in the acute setting. Overall, there were differences between reported experiences and preferences of participants. This heterogeneity stresses the importance of keeping a person-centred approach during shared decision-making. Other key considerations during shared decision-making include physicians informing patients from professional experience and communicating sensitively about both treatment options and prognosis. Physicians should aim to provide realistic, sensitive and timely information to both patients and proxies during the choice between curation and palliation for their hip fracture.

Health status after periprosthetic proximal femoral fractures.

Aims: Periprosthetic proximal femoral fractures (PFFs) are a major complication after total hip arthroplasty (THA). Health status after PFF is not specifically investigated. The aim of this study is to evaluate the health status pattern over two years after sustaining a PFF. Methods: A cohort of patients with PFF after THA was derived from the Brabant Injury Outcomes Surveillance (BIOS) study. The BIOS study, a prospective, observational, multicentre follow-up cohort study, was conducted to obtain data by questionnaires pre-injury and at one week, and one, three, six, 12, and 24 months after trauma. Primary outcome measures were the EuroQol five-dimension three-level questionnaire (EQ-5D-3L), the Health Utility Index 2 (HUI2), and the Health Utility Index 3 (HUI3). Secondary outcome measures were general measurements such as duration of hospital stay and mortality. Results: A total of 70 patients with a PFF were included. EQ-5D utility scores were significantly lower on all timepoints except at six months' follow-up compared to pre-injury. EuroQol visual analogue scale (EQ-VAS) scores at one month's follow-up were significantly lower compared to pre-injury. The percentage of reported problems at two years was higher for all dimensions except anxiety/depression when compared to pre-injury. The mean EQ-5D utility score was 0.26 higher in males compared to females (95% confidence interval (CI) 0.01 to 0.42; p = 0.003). The mean EQ-VAS score for males was 8.9 points higher when compared to females over all timepoints (95% CI 1.2 to 16.7; p = 0.027). Mortality was 10% after two years' follow-up. Conclusion: PFF patients are a frail population with substantial functional impairment at baseline. Post-injury, they have a significant and clinically relevant lower health status two years after trauma when compared to pre-injury. Health status improves the most between one and three months after injury. Two years after PFF, more patients experience problems in mobility, self-care, usual activities, and pain/discomfort than pre-injury.

From numbers to meaningful change: Minimal important change by using PROMIS in a cohort of fracture patients.

INTRODUCTION: use of the Patient-Reported Outcomes measurement Information System (PROMIS®) is slowly increasing in patients with a fracture. Yet, minimal important change of PROMIS in patients with fractures has been addressed in a very limited number of studies. As the minimal important change (MIC) is important to interpret PROMIS-scores, the goal is to estimate the MIC for PROMIS physical function (PF), PROMIS pain interference (PI) and PROMIS ability to participate in social roles and activities (APSRA) in patients with a fracture. Secondly, the smallest detectable change was determined. MATERIALS AND METHODS: A longitudinal cohort study on patients ≥ 18 years receiving surgical or non-surgical care for fractures was conducted. Patients completed PROMIS PF V1.1, PROMIS PI V1.1 and PROMIS APSRA V2.0. For follow-up, patients completed three additional anchor questions evaluating patient-reported improvement on a seven point rating scale. The predictive modeling method was used to estimate the MIC value of all three PROMIS questionnaires. RESULTS: Hundred patients with a mean age of 55.4 ± 12.6 years were included of which sixty (60%) were female. Seventy-two (72%) patients were recovering from a surgical procedure. PROMIS-CAT T-scores of all PROMIS measures showed significant correlations with their anchor questions. The predictive modeling method showed a MIC value of +2.4 (n = 98) for PROMIS PF, -2.9 (n = 96) for PROMIS PI and +3.2 (n = 91) for PROMIS APSRA. CONCLUSION: By using the anchor based predictive modeling method, PROMIS MIC-values for improvement of respectively +2.4 points on a T-score metric for PROMIS-PF, -2.9 for PROMIS-PI and +3.2 for PROMIS APSRA give the impression of being meaningful to patients. These values can be used in clinical practice for managing patient expectations; to inform on treatment results; and to assess if patients experience significant change. This in order to encourage patient centered care.

Recovery to normal vital functions and acid-base status after a severe trauma in Level I versus Level II Trauma Centres.

PURPOSE: In the Netherlands, approximately 70% of severely injured patients (ISS ≥ 16) are transported directly to a Level I trauma center. This study compared the time needed to return to normal vital parameters and normal acid-base status in severely injured patients and some in-hospital processes in Level I versus Level II trauma centers. METHODS: This retrospective cohort study included all adult severely injured patients or adult trauma patients admitted to the intensive care unit between 2015 and 2020 in a Dutch trauma region. The primary endpoint was time until normal vital parameters and acid-base status. Secondary endpoints were complication rate, hospital length of stay, emergency department length of stay, and time until a computed tomography (CT) scan. RESULTS: A total of 2345 patients were included. Patients admitted to a Level I trauma center had a significantly higher rate of normalization of vital parameters over time (HR 1.51). There was no significant difference in normalization rate of the acid-base status over time (HR 1.10). In Level I trauma centers, time spent at the emergency department and time until the CT scan was significantly shorter (respectively, ß - 38 min and ß - 77 min), and the complication rate was significantly lower (OR 0.35). CONCLUSION: Severely injured patients admitted to a Level I trauma center require less time to normalize their vital functions. Level I centers are better equipped, resulting in better in-hospital processes with shorter time at the emergency department and shorter time until a CT scan.

Variable impact of complications in general surgery: a prospective cohort study.

BACKGROUND: Registering complications is important in surgery, since complications serve as outcome measures and indicators of quality of care. Few studies have addressed the variation in severity and consequences of complications. We hypothesized that complications show much variation in consequences and severity. METHODS: We conducted a prospective observational cohort study to evaluate consequences and severity of complications in surgical practice. All recorded complications of patients admitted to our hospital between June 1, 2005, and Dec. 31, 2007, were prospectively recorded in an electronic database. Complications were classified according to the system of the Trauma Registry of the American College of Surgeons. We graded the severity of complications according to the system proposed by Clavien and colleagues, and the consequences of each complication were registered. RESULTS: During the study period, 3418 complications were recorded; consequences and severity were recorded in 89% of them. Of 3026 complications, 987 (33%) were grade I, 781 (26%) were grade IIa, 1020 (34%) were grade IIb, 150 (5%) were grade III and 88 (3%) were grade IV. The consequences and severity of identically registered complications showed a large degree of variation, best illustrated by wound infections, which were grade I in 50%, grade IIa in 22%, grade IIb in 28% and grade III and IV in 0.3% of patients. CONCLUSION: Severity should be routinely presented when reporting complications in clinical practice and surgical research papers to adequately compare quality of care and results of clinical trials.

There are more things in physical function and pain: a systematic review on physical, mental and social health within the orthopedic fracture population using PROMIS.

BACKGROUND: The Patient-Reported Outcomes Information System (PROMIS®) is more and more extensively being used in medical literature in patients with an orthopedic fracture. Yet, many articles studied heterogeneous groups with chronic orthopedic disorders in which fracture patients were included as well. At this moment, there is no systematic overview of the exact use of PROMIS measures in the orthopedic fracture population. Therefore this review aimed to provide an overview of the PROMIS health domains physical health, mental health and social health in patients suffering an orthopedic fracture. METHODS: This systematic review was documented according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. We searched Embase, Medline, Web of Science Core Collection, and Cochrane Central Register of controlled Trials, CINAHL and Google Scholar in December 2020 using a combination of MeSH terms and specific index terms related to orthopedic fractures and PROMIS questionnaires. Inclusion criteria were available full text articles that were describing the use of any PROMIS questionnaires in both the adult and pediatric extremity fracture population. RESULTS: We included 51 relevant articles of which most were observational studies (n = 47, 92.2%). A single fracture population was included in 47 studies of which 9 involved ankle fractures (9/51; 17.6%), followed by humeral fractures (8/51; 15.7%), tibia fractures (6/51; 11.8%) and radial -or ulnar fractures (5/51; 9.8%). PROMIS Physical Function (n = 32, 32/51 = 62.7%) and PROMIS Pain Interference (n = 21, 21/51 = 41.2%) were most frequently used questionnaires. PROMIS measures concerning social (n = 5/51 = 9.8%) and mental health (10/51 = 19.6%) were much less often used as outcome measures in the fracture population. A gradually increasing use of PROMIS questionnaires in the orthopedic fracture population was seen since 2017. CONCLUSION: Many different PROMIS measures on multiple domains are available and used in previous articles with orthopedic fracture patients. With physical function and pain interference as most popular PROMIS measures, it is important to emphasize that other health-domains such as mental and social health can also be essential to fracture patients.

Modification of the TRISS: simple and practical mortality prediction after trauma in an all-inclusive registry.

PURPOSE: Numerous studies have modified the Trauma Injury and Severity Score (TRISS) to improve its predictive accuracy for specific trauma populations. The aim of this study was to develop and validate a simple and practical prediction model that accurately predicts mortality for all acute trauma admissions. METHODS: This retrospective study used Dutch National Trauma Registry data recorded between 2015 and 2018. New models were developed based on nonlinear transformations of TRISS variables (age, systolic blood pressure (SBP), Glasgow Coma Score (GCS) and Injury Severity Score (ISS)), the New Injury Severity Score (NISS), the sex-age interaction, the best motor response (BMR) and the American Society of Anesthesiologists (ASA) physical status classification. The models were validated in 2018 data and for specific patient subgroups. The models' performance was assessed based on discrimination (areas under the curve (AUCs)) and by calibration plots. Multiple imputation was applied to account for missing values. RESULTS: The mortality rates in the development and validation datasets were 2.3% (5709/245363) and 2.5% (1959/77343), respectively. A model with sex, ASA class, and nonlinear transformations of age, SBP, the ISS and the BMR showed significantly better discrimination than the TRISS (AUC 0.915 vs. 0.861). This model was well calibrated and demonstrated good discrimination in different subsets of patients, including isolated hip fractures patients (AUC: 0.796), elderly (AUC: 0.835), less severely injured (ISS16) (AUC: 878), severely injured (ISS ≥ 16) (AUC: 0.889), traumatic brain injury (AUC: 0.910). Moreover, discrimination for patients admitted to the intensive care (AUC: s0.846), and for both non-major and major trauma center patients was excellent, with AUCs of 0.940 and 0.895, respectively. CONCLUSION: This study presents a simple and practical mortality prediction model that performed well for important subgroups of patients as well as for the heterogeneous population of all acute trauma admissions in the Netherlands. Because this model includes widely available predictors, it can also be used for international evaluations of trauma care within institutions and trauma systems.

Prediction of recovery in trauma patients using Latent Markov models.

PURPOSE: Patients' expectations during recovery after a trauma can affect the recovery. The aim of the present study was to identify different physical recovery trajectories based on Latent Markov Models (LMMs) and predict these recovery states based on individual patient characteristics. METHODS: The data of a cohort of adult trauma patients until the age of 75 years with a length of hospital stay of 3 days and more were derived from the Brabant Injury Outcome Surveillance (BIOS) study. The EuroQol-5D 3-level version and the Health Utilities Index were used 1 week, and 1, 3, 6, 12, and 24 months after injury. Four prediction models, for mobility, pain, self-care, and daily activity, were developed using LMMs with ordinal latent states and patient characteristics as predictors for the latent states. RESULTS: In total, 1107 patients were included. Four models with three ordinal latent states were developed, with different covariates in each model. The prediction of the (ordinal) latent states in the LMMs yielded pseudo-R2 values between 40 and 53% and between 21 and 41% (depending of the type R2 used) and classification errors between 24 and 40%. Most patients seem to recover fast as only about a quarter of the patients remain with severe problems after 1 month. CONCLUSION: The use of LMMs to model the development of physical function post-injury is a promising way to obtain a prediction of the physical recovery. The step-by-step prediction fits well with the outpatient follow-up and it can be used to inform the patients more tailor-made to manage the expectations.