Influence of health insurance on withdrawal of life sustaining treatment for patients with isolated traumatic brain injury: a retrospective multi-center observational cohort study.

BACKGROUND: Healthcare inequities for patients with traumatic brain injury (TBI) represent a major priority area for trauma quality improvement. We hypothesized a relationship between health insurance status and timing of withdrawal of life sustaining treatment (WLST) for adults with severe TBI. METHODS: This multicenter retrospective observational cohort study utilized data collected between 2017 and 2020. We identified adult (age ≥ 16) patients with isolated severe TBI admitted participating Trauma Quality Improvement Program centers. We determined the relationship between insurance status (public, private, and uninsured) and the timing of WLST using a competing risk survival analysis framework adjusting for baseline, clinical, injury and trauma center characteristics. Multivariable cause-specific Cox regressions were used to compute adjusted hazard ratios (HR) reflecting timing of WLST, accounting for mortality events. We also quantified the between-center residual variability in WLST using the median odds ratio (MOR) and measured insurance status association with access to rehabilitation at discharge. RESULTS: We identified 42,111 adults with isolated severe TBI treated across 509 trauma centers across North America. There were 10,771 (25.6%) WLST events in the cohort and a higher unadjusted incidence of WLST events was evident in public insurance patients compared to private or uninsured groups. After adjustment, WLST occurred earlier for publicly insured (HR 1.07, 95% CI 1.02-1.12) and uninsured patients (HR 1.29, 95% CI 1.18-1.41) compared to privately insured patients. Access to rehabilitation was lower for both publicly insured and uninsured patients compared to patients with private insurance. Accounting for case-mix, the MOR was 1.49 (95% CI 1.43-1.55), reflecting significant residual between-center variation in WLST decision-making. CONCLUSIONS: Our findings highlight the presence of disparate WLST practices independently associated with health insurance status. Additionally, these results emphasize between-center variability in WLST, persisting despite adjustments for measurable patient and trauma center characteristics.

Key role of the ryanodine receptor I4790K mutation in mediating diamide resistance in Plutella xylostella.

The diamondback moth Plutella xylostella, a global insect pest of cruciferous vegetables, has evolved resistance to many classes of insecticides including diamides. Three point mutations (I4790M, I4790K, and G4946E) in the ryanodine receptor of P. xylostella (PxRyR) have been identified to associate with varying levels of resistance. In this study, we generated a knockin strain (I4790K-KI) of P. xylostella, using CRISPR/Cas9 to introduce the I4790K mutation into PxRyR of the susceptible IPP-S strain. Compared to IPP-S, the edited I4790K-KI strain exhibited high levels of resistance to both anthranilic diamides (chlorantraniliprole 1857-fold, cyantraniliprole 1433-fold) and the phthalic acid diamide flubendiamide (>2272-fold). Resistance to chlorantraniliprole in the I4790K-KI strain was inherited in an autosomal and recessive mode, and genetically linked with the I4790K knockin mutation. Computational modeling suggests the I4790K mutation reduces the binding of diamides to PxRyR by disrupting key hydrogen bonding interactions within the binding cavity. The approximate frequencies of the 4790M, 4790K, and 4946E alleles were assessed in ten geographical field populations of P. xylostella collected in China in 2021. The levels of chlorantraniliprole resistance (2.3- to 1444-fold) in these populations were significantly correlated with the frequencies (0.017-0.917) of the 4790K allele, but not with either 4790M (0-0.183) or 4946E (0.017-0.450) alleles. This demonstrates that the PxRyR I4790K mutation is currently the major contributing factor to chlorantraniliprole resistance in P. xylostella field populations within China. Our findings provide in vivo functional evidence for the causality of the I4790K mutation in PxRyR with high levels of diamide resistance in P. xylostella, and suggest that tracking the frequency of the I4790K allele is crucial for optimizing the monitoring and management of diamide resistance in this crop pest.

Contemporary trends in the incidence and timing of spinal metastases: A population-based study.

Background: Spinal metastases are a significant complication of advanced cancer. In this study, we assess temporal trends in the incidence and timing of spinal metastases and examine underlying patient demographics and primary cancer associations. Methods: In this population-based retrospective cohort study, health data from 2007 to 2019 in Ontario, Canada were analyzed (n = 37, 375 patients identified with spine metastases). Primary outcomes were annual incidence of spinal metastasis, and time to metastasis after primary diagnosis. Results: The age-standardized incidence of spinal metastases increased from 229 to 302 cases per million over the 13-year study period. The average annual percent change (AAPC) in incidence was 2.2% (95% CI: 1.4% to 3.0%) with patients aged ≥85 years demonstrating the largest increase (AAPC 5.2%; 95% CI: 2.3% to 8.3%). Lung cancer had the greatest annual incidence, while prostate cancer had the greatest increase in annual incidence (AAPC 6.5; 95% CI: 4.1% to 9.0%). Lung cancer patients were found to have the highest risk of spine metastasis with 10.3% (95% CI: 10.1% to 10.5%) of patients being diagnosed at 10 years. Gastrointestinal cancer patients were found to have the lowest risk of spine metastasis with 1.0% (95% CI: 0.9% to 1.0%) of patients being diagnosed at 10 years. Conclusions: The incidence of spinal metastases has increased in recent years, particularly among older patients. The incidence and timing vary substantially among different primary cancer types. These findings contribute to the understanding of disease trends and emphasize a growing population of patients who require subspecialty care.

Admitting Hospital Influences on Withdrawal of Life-Sustaining Treatment Decision for Patients With Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Withdrawal of life-sustaining treatment (WLST) in severe traumatic brain injury (TBI) is complex, with a paucity of standardized guidelines. We aimed to assess the variability in WLST practices between trauma centers in North America. METHODS: This retrospective study used data from trauma centers through the American College of Surgeons Trauma Quality Improvement Program between 2017 and 2020. We included adult patients (>16 years) with severe TBI and a documented decision for WLST. We constructed a series of hierarchical logistic regression models to adjust for patient, injury, and hospital attributes influencing WLST; residual between-center variability was characterized using the median odds ratio. The impact of disparate WLST practices was further assessed by ranking centers by their conditional random intercept and assessing mortality, length of stay, and WLST between quartiles. RESULTS: We identified a total of 85 511 subjects with severe TBI treated across 510 trauma centers, of whom 20 300 (24%) had WLST. Patient-level factors associated with increased likelihood of WLST were advanced age, White race, self-pay, or Medicare insurance status (compared with private insurance). Black race was associated with reduced tendency for WLST. Treatment in nonprofit centers and higher-severity intracranial and extracranial injuries, midline shift, and pupil asymmetry also increased the likelihood for WLST. After adjustment for patient and hospital attributes, the median odds ratio was 1.45 (1.41-1.49 95% CI), suggesting residual variation in WLST between centers. When centers were grouped into quartiles by their propensity for WLST, there was increased adjusted mortality and shorter length of stay in fourth compared with first quartile centers. CONCLUSION: We highlighted the presence of contextual phenomena associated with disparate WLST practice patterns between trauma centers after adjustment for case-mix and hospital attributes. These findings highlight a need for standardized WLST guidelines to improve equity of care provision for patients with severe TBI.

Quantifying the Association Between Surgical Spine Approach and Tracheostomy Timing After Traumatic Cervical Spinal Cord Injury.

BACKGROUND AND OBJECTIVES: Recent evidence suggests earlier tracheostomy is associated with fewer complications in patients with complete cervical spinal cord injury (SCI). This study aims to evaluate the influence of spine surgical approach on the association between tracheostomy timing and in-hospital adverse events treating patients with complete cervical SCI. METHODS: This retrospective cohort study was performed using Trauma Quality Improvement Program data from 2017 to 2020. All patients with acute complete (American Spinal Injury Association-A) cervical SCI who underwent tracheostomy and spine surgery were included. Tracheostomy timing was dichotomized to early (within 1 week after surgery) and delayed (more than 1 week after surgery). Primary outcome was the occurrence of major in-hospital complications. Secondary outcomes included occurrences of immobility-related complications, surgical-site infection, hospital and intensive care unit length of stay, and time on mechanical ventilation. RESULTS: The study included 1592 patients across 358 trauma centers. Mean time to tracheostomy from surgery was 8.6 days. A total of 495 patients underwent anterior approach, 670 underwent posterior approach, and 427 underwent combined anterior and posterior approach. Patients who underwent anterior approach were significantly more likely to have delayed tracheostomy compared with posterior approach (53% vs 40%, P < .001). Early tracheotomy significantly reduced major in-hospital complications (odds ratio 0.67, 95% CI 0.53-0.84) and immobility complications (odds ratio = 0.78, 95% CI 0.6-1.0). Those undergoing early tracheostomy spent 6.0 (95% CI -8.47 to -3.43) fewer days in hospital, 5.7 (95% CI -7.8 to -3.7) fewer days in the intensive care unit, and 5.9 (95% CI -8.2 to -3.7) fewer days ventilated. Surgical approach had no significant negative effect on the association between tracheostomy timing and the outcomes of interest. CONCLUSION: Earlier tracheostomy for patients with cervical SCI is associated with reduced complications, length of stay, and ventilation time. This relationship appears independent of the surgical approach. These findings emphasize that tracheostomy need not be delayed because of the SCI treatment approach.

Vision Transformer-based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool.

Purpose To develop an automated triage tool to predict neurosurgical intervention for patients with traumatic brain injury (TBI). Materials and Methods A provincial trauma registry was reviewed to retrospectively identify patients with TBI from 2005 to 2022 treated at a specialized Canadian trauma center. Model training, validation, and testing were performed using head CT scans with binary reference standard patient-level labels corresponding to whether the patient received neurosurgical intervention. Performance and accuracy of the model, the Automated Surgical Intervention Support Tool for TBI (ASIST-TBI), were also assessed using a held-out consecutive test set of all patients with TBI presenting to the center between March 2021 and September 2022. Results Head CT scans from 2806 patients with TBI (mean age, 57 years ± 22 [SD]; 1955 [70%] men) were acquired between 2005 and 2021 and used for training, validation, and testing. Consecutive scans from an additional 612 patients (mean age, 61 years ± 22; 443 [72%] men) were used to assess the performance of ASIST-TBI. There was accurate prediction of neurosurgical intervention with an area under the receiver operating characteristic curve (AUC) of 0.92 (95% CI: 0.88, 0.94), accuracy of 87% (491 of 562), sensitivity of 87% (196 of 225), and specificity of 88% (295 of 337) on the test dataset. Performance on the held-out test dataset remained robust with an AUC of 0.89 (95% CI: 0.85, 0.91), accuracy of 84% (517 of 612), sensitivity of 85% (199 of 235), and specificity of 84% (318 of 377). Conclusion A novel deep learning model was developed that could accurately predict the requirement for neurosurgical intervention using acute TBI CT scans. Keywords: CT, Brain/Brain Stem, Surgery, Trauma, Prognosis, Classification, Application Domain, Traumatic Brain Injury, Triage, Machine Learning, Decision Support Supplemental material is available for this article. © RSNA, 2024 See also commentary by Haller in this issue.

Insurance-Related Disparities in Withdrawal of Life Support and Mortality After Spinal Cord Injury.

Importance: Identifying disparities in health outcomes related to modifiable patient factors can improve patient care. Objective: To compare likelihood of withdrawal of life-supporting treatment (WLST) and mortality in patients with complete cervical spinal cord injury (SCI) with different types of insurance. Design, Setting, and Participants: This retrospective cohort study collected data between 2013 and 2020 from 498 trauma centers participating in the Trauma Quality Improvement Program. Participants included adult patients (older than 16 years) with complete cervical SCI. Data were analyzed from November 1, 2023, through May 18, 2024. Exposure: Uninsured or public insurance compared with private insurance. Main Outcomes and Measures: Coprimary outcomes were WLST and mortality. The adjusted odds ratio (aOR) of each outcome was estimated using hierarchical logistic regression. Propensity score matching was used as an alternative analysis to compare public and privately insured patients. Process of care outcomes, including the occurrence of a hospital complication and length of stay, were compared between matched patients. Results: The study included 8421 patients with complete cervical SCI treated across 498 trauma centers (mean [SD] age, 49.1 [20.2] years; 6742 male [80.1%]). Among the 3524 patients with private insurance, 503 had WLST (14.3%) and 756 died (21.5%). Among the 3957 patients with public insurance, 906 had WLST (22.2%) and 1209 died (30.6%). Among the 940 uninsured patients, 156 had WLST (16.6%) and 318 died (33.8%). A significant difference was found between uninsured and privately insured patients in the adjusted odds of WLST (aOR, 1.49; 95% CI, 1.11-2.01) and mortality (aOR, 1.98; 95% CI, 1.50-2.60). Similar results were found in subgroup analyses. Matched public compared with private insurance patients were found to have significantly greater odds of hospital complications (odds ratio, 1.27; 95% CI, 1.14-1.42) and longer hospital stay (mean difference 5.90 days; 95% CI, 4.64-7.20), which was redemonstrated on subgroup analyses. Conclusions and Relevance: Health insurance type was associated with significant differences in the odds of WLST, mortality, hospital complications, and days in hospital among patients with complete cervical SCI in this study. Future work is needed to incorporate patient perspectives and identify strategies to close the quality gap for the large number of patients without private insurance.