[Impact of weather, time of day and season on the admission and outcome of major trauma patients]

Seasonality and temporal variation of pediatric trauma in Southern California

INTRODUCTION

Seasonality of pediatric trauma has been previously described, although the association of season with hour of presentation is less understood. Both factors have potential implications for resource allocation and team preparedness.

METHODS

A multicenter retrospective study was conducted to analyze the records of injured children <18 years-old who presented to one of the 15 trauma centers within Los Angeles County. Data from the County Trauma and Emergency Medicine Information System Registry was abstracted from 1/1/10 to 12/31/21. Patient demographics, mechanism of injury (MOI) and time of presentation by season were analyzed using Kruskal Wallis tests and chi-square tests.

RESULTS

A total of 30,444 pediatric trauma presentations were included. Both the time of presentation and the MOI differed significantly by season with p < 0.001. Autumn had a higher incidence of pedestrian injuries during hours of 08:00 and 15:0020:00, and sports injuries from 16:00 to 21:00. In the Summer there were more burns between 17:00 and 23:00 and falls from greater than 10 ft after 13:00. The mode of transport used was also different across seasons (p = 0.03), with the use of both air and ground EMS greatest during summer and least during winter. The hours of greatest utilization remained relatively constant for all seasons for air transport (18:00-19:00 h) and ground transport (19:00-20:00 h).

CONCLUSION

These data demonstrate the significant seasonal and temporal variation within pediatric trauma. These findings could be used to inform improvements in emergency response, and resource allocation in particular.

The effect of weather and temporal factors on emergency hand trauma consultations

INTRODUCTION

Fluctuations in the numbers of patient consultations in hand trauma emergency units are challenging in terms of both scheduling and the provision of sufficient resources. Trauma consultations in general are affected by both temporal and meteorological variables. As the genesis and epidemiology of hand trauma have their own characteristics, this study aimed to identify the influence of temporal and meteorological factors on hand trauma consultations.

MATERIALS AND METHODS

All patients treated for hand trauma in our level one trauma center in 2019 were included in the study population and the data were analyzed in retrospect. The daily weather data, including temperature, sunshine duration, precipitation, humidity and wind speed, as well as temporal factors such as time of day, weekday and public holidays were considered and correlated with patient consultations. Gender differences were studied as well.

RESULTS

We included 4787 hand trauma patients (66.4% male, mean age 38.4 ± 19.3 years, 31.7% occupational injuries). Significantly more consultations occurred on Saturdays as compared to weekdays (14.8 ± 0.6, n = 52 vs. 13.0 ± 0.2, n = 261; p = 0.028), and fewer occurred on official holidays (11.8 ± 0.5, n = 63 vs. 13.4 ± 0.2, n = 302; p = 0.0047). We found a significant positive correlation between daily consultations, sunshine duration (r = 0.14, p = 0.0056) and the mean temperature (r = 0.20, p < 0.0001); in contrast, a significant negative correlation between daily consultations and humidity (r = - 0.17, p = 0.001) was observed. Furthermore, fewer consultations were seen on days with precipitation (12.7 ± 0.3, n = 219 vs. 13.8 ± 0.3, n = 146; p = 0.009). The variation was considerably stronger in men.

CONCLUSIONS

Hand trauma consultations increased with increasing temperatures, duration of sunshine, and decreasing humidity. Peak admissions were seen on Fridays and Saturdays. These findings can assist in predicting days with peak admissions to allocate resources appropriately.

Risk factors for revision surgery in operative treatment of traumatic injuries of the olecranon and prepatellar bursa

INTRODUCTION

Traumatic lacerations of the prepatellar (PB) and olecranon bursa (OB) are common injuries. The aim of this study was to gain descriptive data and to identify risk factors associated with complications that made revision surgery after primary bursectomy necessary.

MATERIAL AND METHODS

In this retrospective monocentric study at a level I trauma center, all patients with traumatic lacerations of the PB or OB who were treated with primary surgical bursectomy from 2015 to 2020 were analyzed.

RESULTS

150 consecutive patients were included. In 44% of cases, the PB was affected (n = 66), in 56% the OB (n = 84). The reoperation rate after surgical bursectomy was 10.7% (n = 16). The main cause of reoperation was wound infection (50%; n = 8). The most common pathogen of postoperative infections was Staphylococcus aureus (87.5%). Several comorbidities have been identified as risk factors for reoperation after primary surgical bursectomy, such as heart diseases, arterial hypertension, the use of antihypertensives and anticoagulation. In contrast, surgical expertise, use of drains, postoperative immobilization, and postoperative antibiotics had no statistically significant effect. A significantly higher postoperative infection rate (17.6%) was observed in patients who were operated more than 48 h after initial trauma.

CONCLUSIONS

Given the limited recommendations for therapy of these common injuries, further investigations should focus on standardized therapeutic options for lacerations of the PB or OB. Delayed surgical interventions after trauma were associated with higher complication rates. Therefore, urgent surgery within 48 h after trauma may help to prevent revisions.

LEVEL OF EVIDENCE

Level of evidence IV.

Does seasonal variation in orthopaedic trauma volume correlate with adverse hospital events and burnout?

INTRODUCTION

Assessing workload and mitigating burnout risk should be a constant goal within training programs. By using work relative value unit (wRVU) data in a non-elective orthopaedic trauma practice, we investigated seasonal variation in workload on an orthopaedic trauma service at a level I trauma centre. We also investigated whether there was a correlation in seasonal preventable adverse patient safety events (PSEs) and resident Epworth Sleepiness Scale (ESS) scores.

MATERIALS AND METHODS

Data on wRVUs were collected over an 8-year period for a single orthopaedic trauma surgeon with a non-elective practice. Monthly wRVU totals were tabulated over this 8-year period and compared with total hospital orthopaedic surgical trauma volume. The total number of wRVUs and surgical cases analysed were 80,955 and 9,928 respectively. A total of 1,560 PSEs and four years of resident ESS scores were analysed. Data on seasonal variations was evaluated for significance utilizing the Kruskal-Wallis test. WRVUs were then compared to total case volume, PSEs, and resident ESS scores using Spearman's correlation coefficients.

RESULTS

We found that wRVUs significantly differed by month (P-value < 0.001) and season (P-value < 0.001) with the highest volume occurring in the summer months. Seasonal variation in wRVUs demonstrated a positive linear correlation with total surgical volume (P-value <0.001) and resident reported ESS scores (P-value = 0.001). PSEs were highest in the summer (P = 0.026), but were not correlated with our findings of seasonal variations in orthopaedic volume (P-value = 0.741).

CONCLUSION

WRVUs of our single surgeon's orthopaedic trauma practice had a seasonal variation with significantly higher volume during the summer. These findings were representative of seasonal variations in total hospital orthopaedic trauma volume and also demonstrated correlation with objective resident sleepiness scores. PSEs were more frequent in the summer but not correlated with seasonal variation in volume. Burnout poses a risk to patient safety and has been shown to be correlated with increased work volume. These topics are important and applicable to various specialties involved in the care of patients with orthopaedic trauma injuries.

Universal thermal climate index associations with mortality, hospital admissions, and road accidents in Bavaria

When meteorological conditions deviate from the optimal range for human well-being, the risks of illness, injury, and death increase, and such impacts are feared in particular with more frequent and intense extreme weather conditions resulting from climate change. Thermal indices, such as the universal thermal climate index (UTCI), can better assess human weather-related stresses by integrating multiple weather components. This paper quantifies and compares the seasonal and spatial association of UTCI with mortality, morbidity, and road accidents in the federal state of Bavaria, Germany. Linear regression was applied to seasonally associate daily 56 million hospital admissions and 2.5 million death counts (1995-2015) as well as approximately 930,000 road accidents and 1.7 million people injured (2002-2015) with spatially interpolated same day- and lagged- (up to 14 days) average UTCI values. Additional linear regressions were performed stratifying by age, gender, region, and district. UTCI effects were clear in all three health outcomes studied: Increased UTCI resulted in immediate (1-2 days) rises in morbidity and even more strongly in mortality in summer, and lagged (up to 14 days) decreases in fall, winter, and spring. The strongest UTCI effects were found for road accidents where increasing UTCI led to immediate decreases in daily road accidents in winter but pronounced increases in all other seasons. Differences in UTCI effects were observed e.g. between in warmer north-western regions (Franconia, more districts with heat stress-related mortality, but hospital admissions for lung, heart and external reasons decreasing with summer heat stress), the touristic alpine regions in the south (immediate effect of increasing UTCI on road accidents in summer), and the colder south-eastern regions (increasing hospital admissions for lung, heart and external reasons in winter with UTCI). Districts with high percentages of elderly suffered from higher morbidity and mortality, particularly in winter. The influences of UTCI as well as the spatial and temporal patterns of this influence call for improved infrastructure planning and resource allocation in the health sector.

The Patterns and Impact of Off-Working Hours, Weekends and Seasonal Admissions of Patients with Major Trauma in a Level 1 Trauma Center

Background: The trauma incidence follows specific patterns in different societies and is expected to increase over the weekend and nighttime. We aimed to explore and analyze the incidence, pattern, and severity of trauma at different times (working hours vs. out off-working hours, weekdays vs. weekends and season). Methods: A retrospective analysis was conducted at a level 1 trauma facility in Qatar. All injured patients admitted between June 2017 and May 2018 were included. The data were analyzed to determine whether outcomes and care parameters of these patients differed between regular working hours and off-working hours, weekdays vs. weekends, and between season intervals. Results: During the study period, 2477 patients were admitted. A total of 816 (32.9%) patients presented during working hours and 1500 (60.6%) during off-working hours. Off-working hours presentations differed significantly with the injury severity score (ISS) (p  <  0.001), ICU length of stay (p  =  0.001), blood transfusions (p = 0.001), intubations (p = 0.001), mortality rate (9.7% vs. 0.7%; p < 0.001), and disposition to rehabilitation centers. Weekend presentations were significantly associated with a higher ISS (p = 0.01), Priority 1 trauma activation (19.1% vs. 14.7%; p = 0005), and need for intubation (21% vs. 16%; p = 0.002). The length of stay (ICU and hospital), mortality, and disposition to rehabilitation centers and other clinical parameters did not show any significant differences. No significant seasonal variation was observed in terms of admissions at the trauma center. Conclusions: The off-working hours admission showed an apparent demographic effect in involved mechanisms, injury severity, and trauma activations, while outcomes, especially the mortality rate, were significantly different during nights but not during the weekends. The only observed seasonal effect was a decrease in the number of admissions during the summer break.

Comparative analysis of MGAP, GAP, and RISC2 as predictors of patient outcome and emergency interventional need in emergency room treatment of the injured

PURPOSE

Little is known about the capabilities of triage and risk scores to predict the outcomes of injured patients, other than mortality, or to determine the need for trauma center resources.

METHODS

Retrospective analysis of prospectively gathered monocenter data on consecutively admitted adult emergency room trauma patients. For each patient, the GAP (Glasgow Coma Scale, Age and Pressure), MGAP (mechanism + GAP) scores and the revised injury severity classification 2 (RISC2) were calculated. The predictive performance of these scores was compared for the assessment of trauma severity, hospital resource need and early patient outcomes (area under the receiver operator characteristics, AUROC).

RESULTS

2112 patients were evaluated [mean age 49.1 years; Injury Severity Score (ISS) 9.5]. GAP, MGAP, and RISC2 worked best at predicting mortality (AUROC 93.2, 93.5 and 96.1%, respectively). Other endpoints such as ISS > 15, emergency interventions, disability status, and return-not-home were predicted less precisely by these three scores, better by RISC2 (AUROC range 66.2-88.8%) than by (M)GAP-scores (55.2-84.1%), except for preclinical interventions. Over- and undertriage rates for the (M)GAP scores varied between 27.5-53.4% and 10.4-30%, respectively.

CONCLUSION

The almost comparable precision of the three risk scores in the prediction of outcome or interventional need following trauma, and the fact, that the RISC2 can only be calculated following extensive diagnostics, favor earlier applicable (M)GAP scoring in the emergency setting. Overall, due to its easier use, the GAP appears to be the most preferable for the early assessment and triage of the injured in a trauma setting based on this European trauma center experience (NCT02165137).

Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study

BACKGROUND

Trauma has long been considered unpredictable. Artificial neural networks (ANN) have recently shown the ability to predict admission volume, acuity, and operative needs at a single trauma center with very high reliability. This model has not been tested in a multicenter model with differing climate and geography. We hypothesize that an ANN can accurately predict trauma admission volume, penetrating trauma admissions, and mean Injury Severity Score (ISS) with a high degree of reliability across multiple trauma centers.

METHODS

Three years of admission data were collected from five geographically distinct US Level I trauma centers. Patients with incomplete data, pediatric patients, and primary thermal injuries were excluded. Daily number of traumas, number of penetrating cases, and mean ISS were tabulated from each center along with National Oceanic and Atmospheric Administration data from local airports. We trained a single two-layer feed-forward ANN on a random majority (70%) partitioning of data from all centers using Bayesian Regularization and minimizing mean squared error. Pearson's product-moment correlation coefficient was calculated for each partition, each trauma center, and for high- and low-volume days (>1 standard deviation above or below mean total number of traumas).

RESULTS

There were 5,410 days included. There were 43,380 traumas, including 4,982 penetrating traumas. The mean ISS was 11.78 (SD = 6.12). On the training partition, we achieved R = 0.8733. On the testing partition (new data to the model), we achieved R = 0.8732, with a combined R = 0.8732. For high- and low-volume days, we achieved R = 0.8934 and R = 0.7963, respectively.

CONCLUSION

An ANN successfully predicted trauma volumes and acuity across multiple trauma centers with very high levels of reliability. The correlation was highest during periods of peak volume. This can potentially provide a framework for determining resource allocation at both the trauma system level and the individual hospital level.

LEVEL OF EVIDENCE

Care Management, level IV.