The Utility of Predictive Modeling and a Systems Process Approach to Reduce Emergency Department Crowding: A Position Paper.

Emergency department (ED) crowding and its main causes, exit block and boarding, continue to threaten the quality and safety of ED care. Most interventions to reduce crowding have not been comprehensive or system solutions, only focusing on part of the care procession and not directly affecting boarding reduction. This position paper proposes that the ED crowding problem can be optimally addressed by applying a systems approach using predictive modeling to identify patients at risk of being admitted to the hospital and uses that information to initiate the time-consuming bed management process earlier in the care continuum, shortening the time during which patients wait in the ED for an inpatient bed assignment, thus removing the exit block that causes boarding and subsequently reducing crowding.

Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study.

BACKGROUND: Emergency department crowding continues to threaten patient safety and cause poor patient outcomes. Prior models designed to predict hospital admission have had biases. Predictive models that successfully estimate the probability of patient hospital admission would be useful in reducing or preventing emergency department "boarding" and hospital "exit block" and would reduce emergency department crowding by initiating earlier hospital admission and avoiding protracted bed procurement processes. OBJECTIVE: To develop a model to predict imminent adult patient hospital admission from the emergency department early in the patient visit by utilizing existing clinical descriptors (ie, patient biomarkers) that are routinely collected at triage and captured in the hospital's electronic medical records. Biomarkers are advantageous for modeling due to their early and routine collection at triage; instantaneous availability; standardized definition, measurement, and interpretation; and their freedom from the confines of patient histories (ie, they are not affected by inaccurate patient reports on medical history, unavailable reports, or delayed report retrieval). METHODS: This retrospective cohort study evaluated 1 year of consecutive data events among adult patients admitted to the emergency department and developed an algorithm that predicted which patients would require imminent hospital admission. Eight predictor variables were evaluated for their roles in the outcome of the patient emergency department visit. Logistic regression was used to model the study data. RESULTS: The 8-predictor model included the following biomarkers: age, systolic blood pressure, diastolic blood pressure, heart rate, respiration rate, temperature, gender, and acuity level. The model used these biomarkers to identify emergency department patients who required hospital admission. Our model performed well, with good agreement between observed and predicted admissions, indicating a well-fitting and well-calibrated model that showed good ability to discriminate between patients who would and would not be admitted. CONCLUSIONS: This prediction model based on primary data identified emergency department patients with an increased risk of hospital admission. This actionable information can be used to improve patient care and hospital operations, especially by reducing emergency department crowding by looking ahead to predict which patients are likely to be admitted following triage, thereby providing needed information to initiate the complex admission and bed assignment processes much earlier in the care continuum.

Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS.

BACKGROUND: Emergency department boarding and hospital exit block are primary causes of emergency department crowding and have been conclusively associated with poor patient outcomes and major threats to patient safety. Boarding occurs when a patient is delayed or blocked from transitioning out of the emergency department because of dysfunctional transition or bed assignment processes. Predictive models for estimating the probability of an occurrence of this type could be useful in reducing or preventing emergency department boarding and hospital exit block, to reduce emergency department crowding. OBJECTIVE: The aim of this study was to identify and appraise the predictive performance, predictor utility, model application, and model utility of hospital admission prediction models that utilized prehospital, adult patient data and aimed to address emergency department crowding. METHODS: We searched multiple databases for studies, from inception to September 30, 2019, that evaluated models predicting adult patients' imminent hospital admission, with prehospital patient data and regression analysis. We used PROBAST (Prediction Model Risk of Bias Assessment Tool) and CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) to critically assess studies. RESULTS: Potential biases were found in most studies, which suggested that each model's predictive performance required further investigation. We found that select prehospital patient data contribute to the identification of patients requiring hospital admission. Biomarker predictors may add superior value and advantages to models. It is, however, important to note that no models had been integrated with an information system or workflow, operated independently as electronic devices, or operated in real time within the care environment. Several models could be used at the site-of-care in real time without digital devices, which would make them suitable for low-technology or no-electricity environments. CONCLUSIONS: There is incredible potential for prehospital admission prediction models to improve patient care and hospital operations. Patient data can be utilized to act as predictors and as data-driven, actionable tools to identify patients likely to require imminent hospital admission and reduce patient boarding and crowding in emergency departments. Prediction models can be used to justify earlier patient admission and care, to lower morbidity and mortality, and models that utilize biomarker predictors offer additional advantages.

The utilization of caudal hydromorphone for fast-tracking in congenital cardiac surgery in a tertiary-care Children's hospital: An audit.

STUDY OBJECTIVE: Our study sought to audit our institutional practice of routine single-shot caudal epidural hydromorphone injection in children undergoing congenital cardiothoracic surgery to assess perioperative pain control and evaluate for any caudal complications. DESIGN: Retrospective observational study of all patients that received a caudal hydromorphone injection as part of the anesthetic for their cardiac surgical operation between January 2017 and July 2019. SETTING: Pediatric Cardiothoracic Operating Room (OR), Cardiac Intensive Care Unit. PATIENTS: One hundred and twenty-seven patients that received caudal hydromorphone as part of their anesthetic for a cardiac surgical operation. INTERVENTIONS: Caudal epidural injection performed immediately following induction of anesthesia utilizing only hydromorphone. MEASUREMENTS: The primary outcome was well-controlled pain, defined as a score of <4/10 on rFLACC or verbal pain scoring. Secondary outcome measures included in-OR extubation, pain service duration (from first assessment to "sign-off"), complications related to the caudal block, intensive care unit (ICU) length of stay (LOS), and Hospital LOS. MAIN RESULTS: One hundred and nine patients were included in the final analysis. Pain was "well-controlled" on average in 96.3% of patients (105/109). Average pain in the 24-h post-block period was 1.67 (SD = 2.37), with median pain score of 0 [0-3]. Peak pain score remained <4/10 for the entire 24-h post-block period in 22% of patients. 77.1% of caudal hydromorphone patients were extubated in the operating room. The median time to heparinization post-block was 108 min, beyond the ASRA recommendation of 60 min for neuraxial procedures. There were two caudal-related complications: one subcutaneous injection, and one instance of a time to heparinization of less than 60 min (56 min). Neither caudal complication led to patient harm. CONCLUSION: Caudal hydromorphone injection can safely contribute to achieving "well-controlled" pain in the pediatric cardiac surgical population when used as a component of a perioperative pain control plan.

Regional Analgesia Added to General Anesthesia Compared With General Anesthesia Plus Systemic Analgesia for Cardiac Surgery in Children: A Systematic Review and Meta-analysis of Randomized Clinical Trials.

BACKGROUND: The aim of this systematic review was to compare the effects of regional analgesic (RA) techniques with systemic analgesia on postoperative pain, nausea and vomiting, resources utilization, reoperation, death, and complications of the analgesic techniques in children undergoing cardiac surgery. METHODS: A search was done in May 2018 in PubMed, Embase, and the Cochrane Central Register of Controlled Trials for randomized controlled trials comparing RA techniques with systemic analgesia. Risks of bias of included trials were judged with the Cochrane tool. Data were analyzed with fixed- (I(2) < 25%) or random-effects models (I(2) ≥ 25%). The quality of evidence was graded according to the Grading of Recommendations Assessment, Development, and Evaluation working group scale. RESULTS: We included 14 randomized controlled trials with 605 participants (312 to RA and 293 to the comparator). RA reduces pain up to 24 hours after surgery. At 6-8 hours after surgery, the standardized mean difference was -0.81 (95% confidence interval [CI], -1.22 to -0.40; low-quality evidence). We did not find a difference for nausea and vomiting (risk ratio [RR], 0.89; 95% CI, 0.61-1.31; very low-quality evidence), duration of tracheal intubation (standardized mean difference, -0.18; 95% CI, -0.40 to 0.05; low-quality evidence), intensive care unit length of stay (mean difference, -0.10 hours; 95% CI, -1.31 to 1.12 hours; low-quality evidence), hospital length of stay (mean difference, -0.02 days; 95% CI, -1.16 to 1.12 days; low-quality evidence), reoperation (RR, 0.76; 95% CI, 0.17-3.28; low-quality evidence), death (RR, 0.50; 95% CI, 0.05-4.94; low-quality evidence), and respiratory depression (RR, 2.06; 95% CI, 0.20-21.68; very low-quality evidence). No trial reported signs of local anesthetic toxicity or lasting neurological or infectious complications related to the RA techniques. One trial reported 1 transient ipsilateral episode of diaphragmatic paralysis with intrapleural analgesia that resolved with cessation of local anesthetic administration. CONCLUSIONS: Compared to systemic analgesia, RA techniques reduce postoperative pain up to 24 hours in children undergoing cardiac surgery. Currently, there is no evidence that RA for pediatric cardiac surgery has any impact on major morbidity and mortality. These results should be interpreted cautiously because they represent a meta-analysis of small and heterogeneous studies. Further studies are needed.

Fiducial registration with spoiled gradient-echo magnetic resonance imaging enhances the accuracy of subthalamic nucleus targeting.

BACKGROUND: A variety of imaging strategies may be used to derive reliable stereotactic coordinates when performing deep brain stimulation lead implants. No single technique has yet proved optimal. OBJECTIVE: To compare the relative accuracy of stereotactic coordinates for the subthalamic nucleus (STN) derived either from fast spin echo/inversion recovery (FSE/IR) magnetic resonance imaging MRI alone (group 1) or FSE/IR in conjunction with T1-weighted spoiled gradient-echo MRI (group 2). METHODS: A retrospective analysis of 145 consecutive STN deep brain stimulation lead placements (group 1, n = 72; group 2, n = 73) was performed in 81 Parkinson disease patients by 1 surgical team. From the operative reports, we recorded the number of microelectrode recording trajectories required to localize the desired STN target and the span of STN traversed along the implantation trajectory. In addition, we calculated the 3-dimensional vector difference between the initial MRI-derived coordinates and the final physiologically refined coordinates. RESULTS: The proportion of implants completed with just 1 microelectrode recording trajectory was greater (81% vs 58%; P < .001) and the 3-dimensional vector difference between the anatomically selected target and the microelectrode recording-refined target was smaller (0.6 ± 1.2 vs 0.9 ± 1.3; P = .04) in group 2 than in group 1. At the same time, the mean expanse of STN recorded along the implantation trajectory was 8% greater in group 2 (4.8 ± 0.6 vs 5.2 ± 0.6 mm; P < .001). CONCLUSION: A combination of stereotactic FSE/IR and spoiled gradient-echo MRI yields more accurate coordinates for the STN than FSE/IR MRI alone.

Evidence for conformational heterogeneity of fission protein Fis1 from Saccharomyces cerevisiae.

Fission 1 (Fis1) is an evolutionarily conserved, type II integral membrane protein implicated in maintaining the proper morphology of mitochondria and peroxisomes. A concave surface on the cytosolic domain of Fis1 from Saccharomyces cerevisiae is implicated in binding other fission proteins, yet structural studies reveal that this surface is sterically occluded by its N-terminal arm. Here we address the question of whether the N-terminal arm of yeast Fis1 exists in a dynamic equilibrium that would allow access to this functionally important surface. NMR measurements sensitive to dynamics occurring on a wide range of time scales (picoseconds to minutes) were used to assess whether the Fis1 arm is dynamic. Hydrogen-deuterium exchange experiments revealed that the Fis1 arm, alpha-helix 6, and proximal loops were not protected from solvent exchange, consistent with motions on the second to minute time scale. An engineered cysteine, I85C, located on the concave surface that lies underneath the Fis1 arm, was readily modified by a fluorescent probe, revealing more solvent accessibility of this position than would be predicted from the structure. Chemical denaturation, NMR chemical shift perturbation, and residual dipolar coupling experiments support the idea that the dynamic equilibrium can be shifted on the basis of changing pH and temperature, with the changes primarily localizing to the Fis1 arm and proximal regions. The data as a whole are consistent with the Fis1 arm adopting a primarily "closed" conformational state able to undergo dynamic excursions that reveal the concave surface and therefore may be important for binding other fission factors and for Fis1 function.