Is it time to measure complications from the National Trauma Data Bank? A longitudinal analysis of recent reporting trends

Complication reporting in trauma: An environmental scan and comparison of nationwide trauma registry data

BACKGROUND

To explore variability in quality measurement, this study aimed to compare abstraction and definitions of complications reported across trauma registries in Canada.

METHODS

A literature search was performed to identify active trauma registries used in Canadian hospitals. Registry characteristics, data abstraction, and reported complications and definitions based on registry data dictionaries were compared.

RESULTS

Nine registries were included, most of which were provincial-level registries (67 ​%). A total of 53 individual complications were identified. Twenty-one (40 ​%) were recorded by only one registry each whereas 5 (9 ​%) were collected by all. Of the 32 complications collected by ​> ​1 registry, 18 (56 ​%) had different definitions. Of the 18 with different definitions, 12 (67 ​%), 5 (28 ​%), and 1 (6 ​%) had 2, 3, and 4 different definitions across registries, respectively.

CONCLUSIONS

Complications reported by trauma registries are variable. Reliable benchmarking is likely challenging, and efforts to standardize complication reporting may be a valuable undertaking.

Frailty independently predicts unfavorable discharge in non-operative traumatic brain injury: A retrospective single-institution cohort study

BACKGROUND

Frailty is associated with adverse outcomes in traumatically injured geriatric patients but has not been well-studied in geriatric Traumatic Brain Injury (TBI).

OBJECTIVE

To assess relationships between frailty and outcomes after TBI.

METHODS

The records of all patients aged 70 or older admitted from home to the neurosurgical service of a single institution for non-operative TBI between January 2020 and July 2021 were retrospectively reviewed. The primary outcome was adverse discharge disposition (either in-hospital expiration or discharge to skilled nursing facility (SNF), hospice, or home with hospice). Secondary outcomes included major inpatient complication, 30-day readmission, and length of stay.

RESULTS

100 patients were included, 90% of whom presented with Glasgow Coma Score (GCS) 14-15. The mean length of stay was 3.78 days. 7% had an in-hospital complication, and 44% had an unfavorable discharge destination. 49% of patients attended follow-up within 3 months. The rate of readmission within 30 days was 13%. Patients were characterized as low frailty (FRAIL score 0-1, n = 35, 35%) or high frailty (FRAIL score 2-5, n = 65, 65%). In multivariate analysis controlling for age and other factors, frailty category (aOR 2.63, 95CI [1.02, 7.14], p = 0.005) was significantly associated with unfavorable discharge. Frailty was not associated with increased readmission rate, LOS, or rate of complications on uncontrolled univariate analyses.

CONCLUSION

Frailty is associated with increased odds of unfavorable discharge disposition for geriatric patients admitted with TBI.

The Impact of Socially Stigmatized Preexisting Conditions on Outcomes After Injury

BACKGROUND

Socially stigmatized preexisting conditions (SSPECs), including alcohol use disorder (AUD), drug use disorder (DUD), and major psychiatric illness, may lead to provider minimization of patient symptoms and have been associated with negative outcomes. However, the impact of SSPECs on failure to rescue (FTR) has not been evaluated. We hypothesized that SSPEC patients would have increased probability of complications, mortality, and FTR.

MATERIALS AND METHODS

We performed a retrospective analysis of the 2015 National Trauma Data Bank, including patients aged ≥18 y and excluding burn victims, patients with Injury Severity Score <9, and non-SSPEC patients with drug or alcohol withdrawal. We defined SSPECs using the National Trauma Data Bank's comorbidity recording codes for AUD, DUD, and major psychiatric illnesses. We built multivariable logistic regression models to determine the relationships between SSPECs and complications, mortality, and FTR.

RESULTS

We included 365,801 patients (62% male, 76% White, median age 56 y [interquartile range 35-74], median Injury Severity Score 10 [interquartile range 9-17]). After adjusting for patient and injury characteristics, SSPEC patients were more likely to have complications (odds ratio [OR] 1.75, 95% confidence interval [CI] 1.70-1.79), less likely to die (OR 0.43, CI 0.38-0.48), and less likely to have FTR (OR 0.34, CI 0.26-0.43). SSPEC patients had a significantly higher complication rate (12.4% versus 7.2%; P < 0.001). After excluding drug or alcohol withdrawal, the complication rate remained significantly higher for SSPEC patients (9.3% versus 7.2%; P < 0.001).

CONCLUSIONS

Although SSPEC patients have lower odds of mortality and FTR, they are at higher probability of complications after injury. Further investigation into the causality behind the higher complications despite lower mortality and FTR is warranted.

Validation of a venous thromboembolism prediction algorithm for pediatric trauma: A national trauma data bank (NTDB) analysis

PURPOSE

We sought to validate a risk model to predict venous thromboembolism (VTE) in pediatric trauma through an analysis of a contemporary cohort in the National Trauma Data Bank (NTDB).

STUDY DESIGN

Prospective internal validation was performed in 10 randomly stratified samples of children (age 0-17 years) from the NTDB 2013-2016. Model discrimination was determined by calculation of the c-statistic (AUC), and calibration was evaluated through analysis of observed to expected (O:E) ratio. Recalibration was performed with application of a mixed-effects logistic regression. Model parameters were reestimated based on recalibration.

RESULTS

Retrospective review identified 481,485 pediatric trauma patients with 729 (0.2%) episodes of VTE. Discriminatory ability of the model in all random cohorts was significant with AUC > 0.93 (p < 0.001). Inadequate calibration was noted in 4 of 10 cohorts and the entire dataset (p < 0.001) with an O:E ratio of 1.79. Model recalibration resulted in similar discrimination (AUC = 0.95) with improved calibration (O:E ratio = 1.33, p < 0.0001).

CONCLUSION

Pediatric trauma prediction models can provide useful data for VTE risk stratification in injured children, but these models must be validated and calibrated prior to use. Recalibration of the model in question resulted in improved accuracy in a contemporary NTDB dataset. These data provide an appropriately calibrated and validated model for clinical use.

LEVEL OF EVIDENCE

II - Prospective internal validation of a multivariable prediction model.

Pediatric trauma venous thromboembolism prediction algorithm outperforms current anticoagulation prophylaxis guidelines: a pilot study

PURPOSE

Venous thromboembolism (VTE) in injured children is rare, but sequelae can be morbid and life-threatening. Recent trauma society guidelines suggesting that all children over 15 years old should receive thromboprophylaxis may result in overtreatment. We sought to evaluate the efficacy of a previously published VTE prediction algorithm and compare it to current recommendations.

METHODS

Two institutional trauma registries were queried for all pediatric (age < 18 years) patients admitted from 2007 to 2018. Clinical data were applied to the algorithm and the area under the receiver operating characteristic (AUROC) curve was calculated to test algorithm efficacy.

RESULTS

A retrospective review identified 8271 patients with 30 episodes of VTE (0.36%). The VTE prediction algorithm classified 51 (0.6%) as high risk (> 5% risk), 322 (3.9%) as moderate risk (1-5% risk) and 7898 (95.5%) as low risk (< 1% risk). AUROC was 0.93 (95% CI 0.89-0.97). In our population, prophylaxis of the 'moderate-' and 'high-risk' cohorts would outperform the sensitivity (60% vs. 53%) and specificity (96% vs. 77%) of current guidelines while anticoagulating substantially fewer patients (373 vs. 1935, p < 0.001).

CONCLUSION

A VTE prediction algorithm using clinical variables can identify injured children at risk for venous thromboembolic disease with more discrimination than current guidelines. Prospective studies are needed to investigate the validity of this model.

LEVEL OF EVIDENCE

III-Clinical decision rule evaluated in a single population.