Visibility-based layout of a hospital unit - An optimization approach.

A patient fall is one of the adverse events in an inpatient unit of a hospital that can lead to disability and/or mortality. The medical literature suggests that increased visibility of patients by unit nurses is essential to improve patient monitoring and, in turn, reduce falls. However, such research has been descriptive in nature and does not provide an understanding of the characteristics of an optimal inpatient unit layout from a visibility-standpoint. To fill this gap, we adopt an interdisciplinary approach that combines the human field of view with facility layout design approaches. Specifically, we propose a bi-objective optimization model that jointly determines the optimal (i) location of a nurse in a nursing station and (ii) orientation of a patient's bed in a room for a given layout. The two objectives are maximizing the total visibility of all patients across patient rooms and minimizing inequity in visibility among those patients. We consider three different layout types, L-shaped, I-shaped, and Radial; these shapes exhibit the section of an inpatient unit that a nurse oversees. To estimate visibility, we employ the ray casting algorithm to quantify the visible target in a room when viewed by the nurse from the nursing station. The algorithm considers nurses' horizontal visual field and their depth of vision. Owing to the difficulty in solving the bi-objective model, we also propose a Multi-Objective Particle Swarm Optimization (MOPSO) heuristic to find (near) optimal solutions. Our findings suggest that the Radial layout appears to outperform the other two layouts in terms of the visibility-based objectives. We found that with a Radial layout, there can be an improvement of up to 50% in equity measure compared to an I-shaped layout. Similar improvements were observed when compared to the L-shaped layout as well. Further, the position of the patient's bed plays a role in maximizing the visibility of the patient's room. Insights from our work will enable understanding and quantifying the relationship between a physical layout and the corresponding provider-to-patient visibility to reduce adverse events.

Variability in Practice and Implementation of Oxygen Target Saturation Policies in United States' Neonatal Intensive Care Units.

OBJECTIVE: This study aimed to describe target oxygen saturation (SpO2) ranges used for premature infants in United States' neonatal intensive care units (NICUs) and to describe if these target SpO2 ranges have changed in recent years. STUDY DESIGN: A 29-question survey focused on target SpO2 practices and policies was distributed via the NICU medical directors listservs for the American Academy of Pediatrics Section of Neonatal-Perinatal Medicine and Pediatrix Medical Group between August and October of 2021. Results were collected via Research Electronic Data Capture (REDCap). RESULTS: We received responses representing 170 unique, levels 2, 3, and 4 NICUs from 36 states. Most NICUs (130, 78%) have recently changed their SpO2 targets in response to target SpO2 clinical trials. Over time, the most commonly reported target SpO2 range has shifted from 88-92% to 90-95%. Of NICUs that changed limits, the most common lower SpO2 limits increased from 88 to 90% and the upper SpO2 limits changed from 92 to 95%. The interquartile range for lower SpO2 limit shifted from 85-88% to 88-90% and the IQR for upper SpO2 limit decreased from 92-95% to 94-95%. Most NICUs had designated conditions that would allow for deviations from standard target SpO2 ranges. These most commonly include pulmonary hypertension (152, 95%), severe bronchopulmonary dysplasia (81, 51%), and retinopathy of prematurity (51, 32%). CONCLUSION: Oxygen saturation limits have changed over time with an overall increase in targeted SpO2. However, there remains considerable interunit variation in SpO2 policies. There is a need to achieve consensus to optimize clinical outcomes. KEY POINTS: · What are the SpO2 ranges in United States' NICUs?. · There is a shift in SpO2 ranges for preterm infants in NICUs across United States.. · Variability still persists in SpO2 ranges for preterm infants in United States' NICUs..

Do Extremely Low Gestational Age Neonates Regulate Iron Absorption via Hepcidin?

OBJECTIVES: To evaluate whether extremely preterm infants regulate iron status via hepcidin. STUDY DESIGN: In this retrospective analysis of infants from the Preterm Epo Neuroprotection (PENUT) Trial, urine hepcidin (Uhep) normalized to creatinine (Uhep/UCr) was evaluated among infants randomized to erythropoietin (Epo) or placebo. RESULTS: The correlation (r) between Uhep/UCr and serum markers of iron status (ferritin and zinc protoporphyrin-to-heme ratio [ZnPP/H]) and iron dose was assessed. A total of 243 urine samples from 76 infants born at 24-276/7 weeks gestation were analyzed. The median Uhep/UCr concentration was 0.3, 1.3, 0.4, and 0.1 ng/mg at baseline, 2 weeks, 4 weeks, and 12 weeks, respectively, in placebo-treated infants. The median Uhep/UCr value in Epo-treated infants were not significantly different, with the exception of the value at the 2-week time point (median Uhep/UCr, 0.1 ng/mg; P < .001). A significant association was seen between Uhep/UCr and ferritin at 2 weeks (r = 0.63; P < .001) and at 4 weeks (r = 0.41; P = .01) and between Uhep/UCr and ZnPP/H at 2 weeks (r = -0.49; P = .002). CONCLUSIONS: Uhep/UCr values correlate with serum iron markers. Uhep/UCr values vary over time and are affected by treatment with Epo, suggesting that extremely preterm neonates can regulate hepcidin and therefore their iron status. Uhep is suppressed in extremely preterm neonates, particularly those treated with Epo.

Trauma-Specific Performance Improvement Activities for Emergency Medical Services Providers: A Statewide Perspective.

INTRODUCTION: Trauma-specific performance improvement (PI) activities are highly variable among Emergency Medical Services (EMS) providers. This study assesses the perception of the trauma PI activities of EMS providers in the state of Ohio and identifies potential barriers to conducting a successful program. METHODS: An institutional review board-approved, voluntary, and anonymous Qualtrics survey was disseminated to all EMS agencies registered under the Ohio Department of Public Safety throughout the 88 counties of Ohio. It included questions regarding what agencies considered trauma-specific PI activities, how frequently they completed those activities, and barriers related to conducting such PI activities. There were both open-ended and closed-ended questions in the survey, along with a follow-up interview. The data were descriptively and thematically analyzed. RESULTS: From the recorded responses (341), most the respondents (98.5%) either agreed or strongly agreed that trauma-specific PI activities improve performance of EMS providers, while only 63.8% (218) of the agencies performed them. Some activities considered as trauma PI and conducted at least once a month included (1) record keeping (74.6%), (2) confirmation on the use of correct triage protocols (66.9%), (3) measuring response time on trauma calls (60.0%), (4) PI reviews of trauma cases (56.9%), and (5) obtaining feedback from the receiving facility and or authorizing physicians (48.5%). Primary barriers to performing trauma PI activities included a lack of interest and financial resources, followed by system-level reasons such as unavailability of training centers and a lack of regional/state support. Thematic analysis of the data suggested that improved communication and awareness of trauma PI, sharing statewide data on trauma PI, better synchronization among EMS agencies and trauma centers, and enhanced EMS funding could potentially improve trauma-specific PI programs at the EMS level. CONCLUSIONS: Our results showed variability in the perception, execution, and availability of trauma-specific PI activities among EMS agencies in the state. Common barriers could potentially be mitigated by collaboration between agencies, trauma centers, and state-led initiatives. With the increased frequency of mass shootings and other large-scale trauma disasters, it is imperative from a state and regional level to address these inconsistencies and further elucidate effective measures of trauma PI for the EMS community.

Locating trauma centers considering patient safety.

Trauma continues to be the leading cause of death and disability in the U.S. for those under the age of 44, making it a prominent public health problem. Recent literature suggests that geographical maldistribution of Trauma Centers (TCs), and the resultant increase of the access time to the nearest TC, could impact patient safety and increase disability or mortality. To address this issue, we introduce the Trauma Center Location Problem (TCLP) that determines the optimal number and location of TCs in order to improve patient safety. We model patient safety through a surrogate measure of mistriages, which refers to a mismatch in the injury severity of a trauma patient and the destination hospital. Our proposed bi-objective optimization model directly accounts for the two types of mistriages, system-related under-triage (srUT) and over-triage (srOT), both of which are estimated using a notional tasking algorithm. We propose a heuristic based on the Particle Swarm Optimization framework to efficiently derive a near-optimal solution to the TCLP for realistic problem sizes. Based on 2012 data from the state of Ohio, we observe that the solutions are sensitive to the choice of weights for srUT and srOT, volume requirements at a TC, and the two thresholds used to mimic EMS decisions. Using our approach to optimize that network resulted in over 31.5% reduction in the objective with only 1 additional TC; redistribution of the existing 21 TCs led to 30.4% reduction.

Capnocytophaga canimorsus meningitis in a 38-year-old immunocompetent woman from household pet exposure.

A 38-year-old otherwise healthy woman with no history of immunocompromise, recent travel, or concerning exposures presented to the ED with several days of nonspecific cold-like symptoms with associated generalized headache. After the patient was symptomatically treated and discharged, she returned several hours later with worsening of symptoms and new vomiting, confusion, and sensorineural hearing loss. Blood and cerebrospinal fluid cultures eventually returned positive for a Capnocytophaga canimorsus infection, a bacterial pathogen found in the saliva of dogs and cats. Only after that, the patient recalled being scratched and licked by her pets, two dogs and a cat. She was treated with a course of systemic steroids, antibiotics and discharged home.

Nurses' work with interruptions: an objective model for testing interventions.

Interruptions experienced by nurses may lead to errors as their focus and attention to multiple patient needs are disrupted. As quantitative models to understand the dynamics of interruptions are lacking, the objective of this study is a model of a nurse's work with interruptions, generating insights into the onset of interruptions and evaluating suggested interventions. We observed nurses in a US Level I trauma center for 47.3 h, including 259 interruptions (9.1% of total time) across 580 nursing activities. A stochastic, non-stationary, model of a nurse's work was developed considering source and activity-dependent interruptions, with parameters clustered across similar periods of day. Two interventions emulating 'do not disturb' strategies were evaluated, along with a more focused intervention from suggestions that nurses' phone calls be 'triaged'. Modeled outcomes included the increase in interruptions in other activities due to deferment and changes to the beneficial/detrimental interruption (B/D) ratio. Across-the-board sequestering of nurses by deferring interruptions during medication increased the B/D ratio 17% (1.35 vs. 1.58), but resulted in an unforeseen 73% (1.04/h vs. 1.80/h) increase in interruptions during direct care. In contrast, the focused intervention (deferring only those interruptions arriving via cell phone during medication and direct care), netted a 31% improvement in the B/D ratio (1.29 vs. 1.69) and with moderated (< 0.13/h) impact on interruptions during other activities. Modeling the dynamics of the onset of interruptions reveals the potentially negative impact of across-the-board interventions, and the advantage of focused interventions anticipating unmet needs before they present as interruptions.

A Ferret Model of Encephalopathy of Prematurity.

There is an ongoing need for relevant animal models in which to test therapeutic interventions for infants with neurological sequelae of prematurity. The ferret is an attractive model species as it has a gyrified brain with a white-to-gray matter ratio similar to that in the human brain. A model of encephalopathy of prematurity was developed in postnatal day 10 (P10) ferret kits, considered to be developmentally equivalent to infants of 24-26 weeks' gestation. Cross-fostered P10 ferret kits received 5 mg/kg of lipopolysaccharide (LPS) before undergoing consecutive hypoxia-hyperoxia-hypoxia (60 min at 9%, 120 min at 60%, and 30 min at 9%). Control animals received saline vehicle followed by normoxia. The development of basic reflexes (negative geotaxis, cliff aversion, and righting) as well as gait coordination on an automated catwalk were assessed between P28 and P70, followed by ex vivo magnetic resonance imaging (MRI) and immunohistochemical analysis. Compared to controls, injured animals had slower overall reflex development between P28 and P40, as well as smaller hind-paw areas consistent with "toe walking" at P42. Injured animals also displayed significantly greater lateral movement during CatWalk assessment as a result of reduced gait coordination. Ex vivo MRI showed widespread white-matter hyperintensity on T2-weighted imaging as well as altered connectivity patterns. This coincided with white-matter dysmaturation characterized by increased intensity of myelin basic protein staining, white-matter thinning, and loss of oligodendrocyte transcription factor 2 (OLIG2)-positive cells. These results suggest both pathological and motor deficits consistent with premature white-matter injury. This newborn ferret model can therefore provide an additional platform to assess potential therapies before translation to human clinical trials.

Acute Kidney Injury before Dialysis Initiation Predicts Adverse Outcomes in Hemodialysis Patients.

BACKGROUND: Acute kidney injury (AKI) is associated with increased morbidity and mortality. Mortality in end-stage renal disease (ESRD) patients is highest during the first year of dialysis. The impact of pre-ESRD AKI events on long-term outcomes in incident ESRD patients remains unknown. METHODS: We evaluated a retrospective cohort of 47,341 incident hemodialysis patients from the United States Renal Data System with linked Medicare data for at least 2 years prior to hemodialysis initiation. We examined the impact of pre-ESRD AKI events in the 2-year pre-ESRD period on the type of vascular access used at hemodialysis initiation (central venous catheter (CVC) versus arteriovenous access), and 1-year all-cause mortality after initiating hemodialysis. RESULTS: The mean age was 72 ± 11 years. Of the study cohort, 18% initiated hemodialysis with arteriovenous access, and 54% of patients had at least one pre-ESRD AKI event. One-year, all-cause mortality was 32%. Compared to 75% for patients without a pre-ESRD AKI event, 89% of patients with a pre-ESRD AKI event initiated hemodialysis with CVC than arteriovenous access (p < 0.001). A pre-ESRD AKI event was associated with lower adjusted odds of starting hemodialysis with an arteriovenous access (OR 0.47; 95% CI 0.44-0.50, p < 0.001), and higher adjusted odds of 1-year mortality (OR 1.36; 95% CI 1.30-1.42, p < 0.001). CONCLUSION: An AKI event prior to initiating hemodialysis independently increases the risk of CVC use and predicts 1-year mortality. Improving processes of care after AKI events may improve dialysis outcomes in patients who progress to ESRD.

Impact of triage guidelines on prehospital triage: comparison of guidelines with a statistical model.

BACKGROUND: The American College of Surgeons developed the National Field Triage Decision Scheme (NFTDS) that has been adapted by many trauma centers in the nation, but quantitative evidence of its efficacy is unclear. We compare the NFTDS and state of Ohio guidelines to the "observed" rates and with rates derived using a statistical model. METHODS: We used 4757 trauma records from 2008-2012 available from the state and calculated undertriage (UT) and overtriage (OT) rates. We then simulated the NFTDS and the state guidelines for those years and estimated the corresponding UT and OT rates. We finally compared these rates with those derived from a multivariate logistic regression model. RESULTS: For the state data, both NFTDS and state guidelines produced lower UT rate (∼9%) compared with the observed rate (∼17%), whereas the OT rates were higher (>85%) than the observed rates (∼54%). The statistical model identified novel factors that were not directly available in the NFTDS; change in responsiveness (odds ratio [OR] = 1.924) and complaint in body (OR = 3.140), back (OR = 1.890), chest (OR = 3.191), head (OR = 3.878), and abdomen (OR = 2.966). Although the statistical model performed similar to observed rates, it performed considerably better than NFTDS (UT = 1.93% versus 9.03%; OT = 66.42% versus 87.52%) and state guidelines (UT = 2.18% versus 8.72%; OT = 64.09% versus 86.52%). CONCLUSIONS: The current NFTDS and state's triage guidelines do not appear to achieve the ACS recommendation of <5% UT and <35% OT rates in the state of Ohio. Inclusion of region-specific factors may help enhance the current NFTDS guidelines and aid in the first impression or judgment of the Emergency Medical Services personnel to improve trauma care and reduce cost.

Nursing Interruptions in a Trauma Intensive Care Unit: A Prospective Observational Study.

OBJECTIVE: The aims of this study were to identify and analyze elements that affect duration of an interruption and likelihood of activity switch as experienced by nurses in an ICU. BACKGROUND: Although interruptions in the ICU impact patient safety, little is known regarding the complex situations that drive them. METHODS: RNs were observed in a 23-bed surgical ICU. We observed 206 interruptions, and analyzed for duration and activity switch. RESULTS: RNs were interrupted on the average every 21.8 minutes. Attending physicians/residents caused fewer, but longer, interruptions to the RN. Longer interruptions were more likely to result in an activity switch. During complex situations such as when an RN is documenting, interruptions by a physician led to longer durations. Interruptions by a device led to higher switches. CONCLUSIONS: A deeper understanding of individual factors and their complex interactions related to interruptions experienced by ICU RNs are vital to understanding the clinical significance of these interruptions and intervention design.

Predictive factors and models for trauma patient disposition.

BACKGROUND: Hospital length of stay for trauma patients can be unnecessarily prolonged due to delays in disposition planning. Demographic characteristics, comorbidities, and other patient variables may help in planning early during hospitalization. MATERIALS AND METHODS: The data of 2836 trauma patients were retrospectively analyzed. Analysis of variance and the chi-square test were used to determine univariate predictors of discharge location (i.e., home, nonhome, and rehabilitation), and multivariable logistic regression was used to determine independent predictors. Clinical decision rules for discharge location were developed for two models: (1) a regular discharge (RD) model to predict discharge location based on demographic and clinical characteristics at the completion of hospital stay and (2) an admission planning discharge (APD) model based on data available shortly after admission. RESULTS: The discharge locations differed on age, sex, certain comorbidities, and various hospital and clinical variables. Increased age, female sex, longer intensive care unit and hospital stays, and the comorbidities of neurologic deficiencies, coagulopathy, and diabetes were independent predictors of nonhome discharge in the RD model. For the APD model, increased age, female sex, the comorbidities of neurologic deficiencies, diabetes, coagulopathy, and obesity were independent predictors of nonhome discharge. The RD and APD models correctly predicted the discharge location 87.2% and 82.9% of the time, respectively. CONCLUSIONS: Demographic and clinical information for trauma patients predicts disposition early in the hospital stay. If the clinical decision rules are validated, discharge steps can be taken earlier in the hospital course, resulting in increased patient satisfaction, timely rehabilitation, and cost savings.

Interruptions in a dental setting and evaluating the efficacy of an intervention: A pilot study.

INTRODUCTION: Interruptions during dental treatment are frequent, and often impact provider satisfaction and processing times We investigate the source and duration of such interruptions at a German dental clinic. METHODS: A pre-post approach was adopted at this dental clinic. This included direct observations of 3 dentists and 3 dental hygienists, and a survey of providers. Following that, an intervention (switchable 'Do Not Enter' sign) was chosen, and a pilot study was conducted to evaluate if the chosen intervention can reduce processing time and improve provider satisfaction. Additional observations and surveys were performed afterwards. RESULTS: Pre-intervention data indicated that interruptions have the highest negative impact on provider satisfaction at this clinic as well as on processing time during longer and more complex treatments, where a minor error due to an interruption could lead to rework of 30 minutes and more. The total number of interruptions dropped by 72.5% after the intervention, short interruptions (< 1min) by 86%. Provider survey indicated improvement due to the intervention in perceived workload, provider work satisfaction, patient safety and stress. CONCLUSIONS: This study demonstrates that a switchable sign can substantially reduce the number of interruptions in this dental clinic. It also shows the potential of improving the work environment by reducing interruptions to the dental providers.

Performance-Based Assessment of Trauma Systems: Estimates for the State of Ohio.

OBJECTIVES: There are no widely accepted metrics to determine the optimal number and geographic distribution of trauma centers (TCs). We propose a Performance-based Assessment of Trauma System (PBATS) model to optimize the number and distribution of TCs in a region using key performance metrics. METHODS: The proposed PBATS approach relies on well-established mathematical programming approach to minimize the number of level I (LI) and level II (LII) TCs required in a region, constrained by prespecified system-related under-triage (srUT) and over-triage (srOT) rates and TC volume. To illustrate PBATS, we collected 6002 matched (linked) records from the 2012 Ohio Trauma and EMS registries. The PBATS-suggested network was compared to the 2012 Ohio network and also to the configuration proposed by the Needs-Based Assessment of Trauma System (NBATS) tool. RESULTS: For this data, PBATS suggested 14 LI/II TCs with a slightly different geographic distribution compared to the 2012 network with 21 LI and LII TC, for the same srUT≈.2 and srOT≈.52. To achieve UT ≤ .05, PBATS suggested 23 LI/II TCs with a significantly different distribution. The NBATS suggested fewer TCs (12 LI/II) than the Ohio 2012 network. CONCLUSION: The PBATS approach can generate a geographically optimized network of TCs to achieve prespecified performance characteristics such as srUT rate, srOT rate, and TC volume. Such a solution may provide a useful data-driven standard, which can be used to drive incremental system changes and guide policy decisions.

Diagnosis of Intrauterine Pregnancy Despite the Presence of Etonogestrel Implant.

While contraception is an important method to avoid pregnancy, it is not always effective. Our case details a 33-year-old-female with an etonogestrel implant who presented to the emergency department (ED) with a two-week history of vomiting and abdominal pain. Pelvic and transvaginal ultrasound confirmed a single, live intrauterine pregnancy. Our case serves as a reminder that ED providers should have a high index of suspicion for pregnancy in clinically relevant scenarios, despite contraceptive methods, until the appropriate confirmatory diagnostic evaluation for pregnancy is completed.

Simulation-Based Training in High-Quality Cardiopulmonary Resuscitation Among Neonatal Intensive Care Unit Providers.

Introduction: American Heart Association guidelines recommend the use of feedback devices for CPR provider resuscitation training. There is paucity of published literature regarding the utility of these devices especially in neonates and infants. We sought to evaluate if simulation-based education and debriefing using a CPR feedback device would improve CPR performance on an infant manikin in a cohort of NICU nurses as evaluated by CPR feedback device. Methods: We conducted a prospective, observational simulation study to assess the quality of chest compressions by NICU nurses before and after debriefing using CPR quality data captured by an accelerometer-based device. Chest compression (CC) depth, rate, recoil, CC fraction and nursing confidence level related to performing a high-quality CPR were compared before and after debriefing using paired t-test and Wilcoxon rank sum test. Results: A total of 62 NICU nurses participated in the study and all of them were Neonatal Resuscitation Program (NRP) certified. There was a significant improvement in CC depth and CC fraction [mean + SD values = 0.79 in + 0.17 (pre-debrief), 0.86 in + 0.21 (post-debrief) (p = 0.034) and 56.8% + 17.7 (pre-debrief), 70.8% + 18.4 (post-debrief) (0.0014), respectively]. There was no difference in CC rate (p = 0.36) and recoil (p = 0.25) between pre and post structured debriefing. The confidence level of nurses in all CPR dynamics (appropriate CC rate, CC depth, team communication, minimizing interruption in CC and coordinating CC with ventilation) was significantly higher after simulation and structured debriefing. All the nurses used 3:1 compression: ventilation ratio of NRP despite the patient being a 4 month old premature baby in the NICU. Conclusions: Simulation training and debriefing of NICU nurses using CPR feedback device improved their chest compression quality on an infant mannequin and their confidence level for performing high-quality CPR. NICU providers tend to use NRP protocol of 3:1 compression: ventilation ratio during CPR in the NICU irrespective of age of the infant.

Early Biomarkers of Hypoxia and Inflammation and Two-Year Neurodevelopmental Outcomes in the Preterm Erythropoietin Neuroprotection (PENUT) Trial.

BACKGROUND: In the Preterm Erythropoietin (Epo) NeUroproTection (PENUT) Trial, potential biomarkers of neurological injury were measured to determine their association with outcomes at two years of age and whether Epo treatment decreased markers of inflammation in extremely preterm (<28 weeks' gestation) infants. METHODS: Plasma Epo was measured (n=391 Epo, n=384 placebo) within 24h after birth (baseline), 30min after study drug administration (day 7), 30min before study drug (day 9), and on day 14. A subset of infants (n=113 Epo, n=107 placebo) had interferon-gamma (IFN-γ), Interleukin (IL)-6, IL-8, IL-10, Tau, and tumour necrosis factor-α (TNF-α) levels evaluated at baseline, day 7 and 14. Infants were then evaluated at 2 years using the Bayley Scales of Infant and Toddler Development, 3rd Edition (BSID-III). FINDINGS: Elevated baseline Epo was associated with increased risk of death or severe disability (BSID-III Motor and Cognitive subscales <70 or severe cerebral palsy). No difference in other biomarkers were seen between treatment groups at any time, though Epo appeared to mitigate the association between elevated baseline IL-6 and lower BSID-III scores in survivors. Elevated baseline, day 7 and 14 Tau concentrations were associated with worse BSID-III Cognitive, Motor, and Language skills at two years. INTERPRETATION: Elevated Epo at baseline and elevated Tau in the first two weeks after birth predict poor outcomes in infants born extremely preterm. However, no clear prognostic cut-off values are apparent, and further work is required before these biomarkers can be widely implemented in clinical practice. FUNDING: PENUT was funded by the National Institute of Neurological Disorders and Stroke (U01NS077955 and U01NS077953).

Predicting Discharge Disposition in Trauma Patients: Development, Validation, and Generalization of a Model Using the National Trauma Data Bank.

BACKGROUND: Limited work has been done in predicting discharge disposition in trauma patients; most studies use single institutional data and have limited generalizability. This study develops and validates a model to predict, at admission, trauma patients' discharge disposition using NTDB, transforms the model into an easy-to-use score, and subsequently evaluates its generalizability on institutional data. METHODS: NTDB data were used to build and validate a binary logistic regression model using derivation-validation (ie, train-test) approach to predict patient disposition location (home vs non-home) upon admission. The model was then converted into a trauma disposition score (TDS) using an optimization-based approach. The generalizability of TDS was evaluated on institutional data from a single Level I trauma center in the U.S. RESULTS: A total of 614 625 patients in the NTDB were included in the study; 212 684 (34.6%) went to a non-home location. Patients with a non-home disposition compared to home had significantly higher age (69 ± 19.7 vs 48.3 ± 20.3) and ISS (11.2 ± 8.2 vs 8.2 ± 6.3); P < .001. Older age, female sex, higher ISS, comorbidities (cancer, cardiovascular, coagulopathy, diabetes, hepatic, neurological, psychiatric, renal, substance abuse), and Medicare insurance were independent predictors of non-home discharge. The logistic regression model's AUC was 0.8; TDS achieved a correlation of 0.99 and performed similarly well on institutional data (n = 3161); AUC = 0.8. CONCLUSION: We developed a score based on a large national trauma database that has acceptable performance on local institutions to predict patient discharge disposition at the time of admission. TDS can aid in early discharge preparation for likely-to-be non-home patients and may improve hospital efficiency.

Atlantoaxial rotatory subluxation presenting as acute torticollis after mild trauma.

Atlantoaxial rotatory subluxation (AARS) is a rare outcome of trauma in adults. We present a case of a 38-year-old female who presented with neck pain and stiffness after a mild trauma. On exam the patient had a "cock-robin" position, comparable to acute torticollis. Computerized tomography demonstrated findings consistent with AARS. Reduction was performed in the emergency department and the patient had no further neurological sequelae. Recognition of AARS after trauma requires a high index of suspicion and early diagnosis is important to best patient outcomes.