Neighborhood Deprivation is Associated With Hospital Length of Stay, Discharge Disposition, and Readmission Rates for Patients Who Survive Hospitalization With Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Traumatic brain injury (TBI) is a leading cause of disability in the United States. Limited research exists on the influence of area-level socioeconomic status and outcomes after TBI. This study investigated the correlation between the Area Deprivation Index (ADI) and (1) 90-day hospital readmission rates, (2) facility discharge, and (3) prolonged (≥5 days) hospital length of stay (LOS). METHODS: Single-center retrospective review of adult (18 years or older) patients who were admitted for TBI during 2018 was performed. Patients were excluded if they were admitted for management of a chronic or subacute hematoma. We extracted relevant clinical and demographic data including sex, comorbidities, age, body mass index, smoking status, TBI mechanism, and national ADI. We categorized national ADI rankings into quartiles for analysis. Univariate, multivariate, and area under the receiver operating characteristic curve (AUROC) analyses were performed to assess the relationship between ADI and 90-day readmission, hospital LOS, and discharge disposition. RESULTS: A total of 523 patients were included in final analysis. Patients from neighborhoods in the fourth ADI quartile were more likely to be Black (P = .007), have a body mass index ≥30 kg/m2 (P = .03), have a Charlson Comorbidity Index ≥5 (P = .004), and have sustained a penetrating TBI (P = .01). After controlling for confounders in multivariate analyses, being from a neighborhood in the fourth ADI quartile was independently predictive of 90-day hospital readmission (odds ratio [OR]: 1.35 [1.12-1.91], P = .011) (model AUROC: 0.82), discharge to a facility (OR: 1.46 [1.09-1.78], P = .03) (model AUROC: 0.79), and prolonged hospital LOS (OR: 1.95 [1.29-2.43], P = .015) (model AUROC: 0.85). CONCLUSION: After adjusting for confounders, including comorbidities, TBI mechanism/severity, and age, higher ADI was independently predictive of longer hospital LOS, increased risk of 90-day readmission, and nonhome discharge. These results may help establish targeted interventions to identify at-risk patients after TBI.

Impact of preoperative mental health diagnosis on postoperative opioid use patterns in spine fusion surgery: A systematic literature review.

Opioids are frequently prescribed for patients undergoing procedures such as spinal fusion surgery for the management of chronic back pain. However, the association between a preoperative mental health illness, such as depression or anxiety, and opioid use patterns after spinal fusion surgery remain unclear. Therefore, we performed a systematic literature review in accordance with PRISMA guidelines to identify articles from the PubMed Database that analyzed the relationship between preoperative mental health illness and postoperative opioid usage after spinal fusion surgery on June 1, 2023. The Methodological Index for Nonrandomized Studies (MINORS) was utilized to evaluate the quality of included articles. Seven studies with 139,580 patients and a mean MINORS score of 18 ± 0.5 were included in qualitative synthesis. The most common spine surgery performed was lumbar fusion (59 %) and the mean age across studies ranged from 50 to 62 years. The range of postoperative opioid usage patterns analyzed ranged from 1 to 24 months. The majority of studies (6/7; 86 %) reported that a preoperative diagnosis of mental health illness was associated with increased opioid dependence after spinal fusion surgery. Preoperative use of opioids for protracted periods was shown to be associated with postoperative chronic opioid dependence. Consensus findings suggest that having a preoperative diagnosis of a mental health illness such as depression or anxiety is associated with increased postoperative opioid use after spinal fusion surgery. Patient comorbidities, including diagnoses of mental health illness, must be considered by the spine surgeon in order to reduce rates of postoperative opioid dependence.

Outcomes After the Surgical Evacuation of Traumatic Acute Subdural Hematomas: The tASDH Risk Score.

BACKGROUND: Acute subdural hematoma (ASDH) is a common pathology following traumatic brain injury (TBI). There is sparse data on the prediction of clinical outcomes following traumatic ASDH (tASDH) evacuation. We investigated prognosticators of outcome following evacuation of tASDHs, with subset analysis in a cohort of octogenarians. We developed a scoring system for stratifying the risk of in-hospital mortality for patients undergoing tASDH evacuation. METHODS: A retrospective chart review was performed to identify all patients who underwent tASDH evacuation. Baseline clinical and demographic data including age, traumatic brain injury mechanism, admission Glasgow Coma Scale (GCS), and Rotterdam computed tomography Scale (RCS) were collected. In-hospital outcomes such as mortality and discharge disposition were collected. A scoring system (tASDH Score) which incorporates RCS (1-2 points), admissions GCS (0-1 points), and age (0-1 point) was created to predict the risk of in-hospital mortality following tASDH evacuation. RESULTS: Being an octogenarian (OR = 6.91 [2.20-21.71], P = 0.0009), having a GCS of 9-12 (OR = 1.58 [1.32-4.12], P = 0.027) or 3-8 (OR = 2.07 [1.41-10.38], P = 0.018), and having an RCS of 4-6 (OR = 3.49 [1.45-8.44], P = 0.0055) were independently predictive of in-hospital mortality. The in-hospital mortality rate was lower for those with a tASDH score of 1 (10%), compared to those with a score of 2 (12%), 3 (42%), and 4 (100%). CONCLUSIONS: Octogenarians with an RCS of 4-6 and an admission GCS <13 have a high risk of mortality following tASDH evacuation. Knowledge of which patients are unlikely to survive ASDH evacuation may help guide neurosurgeons in prognostication and goals of care discussions.

Opportunities, Pitfalls, and Alternatives in Adapting Electronic Health Records for Health Services Research.

Electronic health records (EHRs) offer the potential to study large numbers of patients but are designed for clinical practice, not research. Despite the increasing availability of EHR data, their use in research comes with its own set of challenges. In this article, we describe some important considerations and potential solutions for commonly encountered problems when working with large-scale, EHR-derived data for health services and community-relevant health research. Specifically, using EHR data requires the researcher to define the relevant patient subpopulation, reliably identify the primary care provider, recognize the EHR as containing episodic (i.e., unstructured longitudinal) data, account for changes in health system composition and treatment options over time, understand that the EHR is not always well-organized and accurate, design methods to identify the same patient across multiple health systems, account for the enormous size of the EHR, and consider barriers to data access. Associations found in the EHR may be nonrepresentative of associations in the general population, but a clear understanding of the EHR-based associations can be enormously valuable to the process of improving outcomes for patients in learning health care systems. In the context of building 2 large-scale EHR-derived data sets for health services research, we describe the potential pitfalls of EHR data and propose some solutions for those planning to use EHR data in their research. As ever greater amounts of clinical data are amassed in the EHR, use of these data for research will become increasingly common and important. Attention to the intricacies of EHR data will allow for more informed analysis and interpretation of results from EHR-based data sets.

Operative Versus Nonoperative Management of Civilian Gunshot Wounds to the Spinal Cord: Novel Use of the Functional Independence Measure for Validated Outcomes.

BACKGROUND: Surgery for patients with gunshot wound spinal cord injury (GSCI) remains controversial. Few recent studies provide standardized follow-up and detailed functional outcomes. To our knowledge, the research we present in this study is unique in that we are the first to incorporate Functional Independence Measure (FIM) scores as an outcomes measure for neurologic recovery in patients with GSCI. METHODS: Patients with GSCI were divided into surgical and nonsurgical groups. Neurologic function was measured according to the American Spinal Injury Association impairment scale and defined as either complete or incomplete injury. Outcomes were then analyzed separately for complete and incomplete GSCI groups during hospitalization and rehabilitation. RESULTS: Baseline admissions characteristics were similar between surgical and nonsurgical groups except for a greater median injury severity score in the nonsurgical group (34 vs. 27; P = 0.02). For complete GSCI, total length of stay (LOS) was significantly longer in the surgical group (52 vs. 42 days; P = 0.04), and no difference was observed in overall FIM scores (58 vs. 54; P = 0.7). For incomplete GSCI, rehabilitation LOS was longer (35 vs. 21; P = 0.02) and a trend towards longer total LOS was observed in the surgical group (40 vs. 32; P = 0.07). No difference was observed in overall FIM scores (61 vs. 62; P = 0.9). CONCLUSIONS: Surgery for patients with GSCI is associated with increased LOS and is not associated with improved FIM scores for patients with either complete or incomplete spinal cord injuries.

Choice-based evaluation for the improvement of upper-extremity function compared with other impairments in tetraplegia.

OBJECTIVES: To assess preference of reconstructive treatment of upper extremities in subjects with tetraplegia compared with preference of treatment of 3 other impairments and to determine the effect of subjects' characteristics on preference of upper-extremity reconstruction. DESIGN: Survey. SETTING: Two specialized spinal cord injury centers in the Netherlands. PARTICIPANTS: A consecutive sample of 47 patients with tetraplegia in stable condition. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: The quality weight of 5 tetraplegic health states determined with the time trade-off technique and expressed as a single value (the "utility") on a scale between 0 (worst possible situation) and 1 (best possible situation). RESULTS: The response rate was 92%. The utility of tetraplegia +/- standard deviation was .57+/-.30. The utilities of tetraplegia without impairment in one of the following functions were .69+/-.33 for sexuality, .69+/-.33 for standing/walking, .63+/-.31 for bladder and bowel function, and .65+/-.32 for upper-extremity function. The differences between these utilities and the utility of tetraplegia were significant (P<.05). No significant differences were found between the utilities of the impairments. Improvement of a specific impairment contributed between 14% and 28% to the potential overall gain in the tetraplegic health state utility. CONCLUSIONS: The combination of impairments determines the low utility of the tetraplegic health state. No priority for improvement of any of the investigated impairments was found. This emphasizes the need for the meticulous selection of patients for treatment of specific conditions. Further research should try to determine the crucial factors in the decision-making process of patients for specific interventions.