Prevalence and Characteristics of Diagnostic Error in Pediatric Critical Care: A Multicenter Study.

OBJECTIVES: Effective interventions to prevent diagnostic error among critically ill children should be informed by diagnostic error prevalence and etiologies. We aimed to determine the prevalence and characteristics of diagnostic errors and identify factors associated with error in patients admitted to the PICU. DESIGN: Multicenter retrospective cohort study using structured medical record review by trained clinicians using the Revised Safer Dx instrument to identify diagnostic error (defined as missed opportunities in diagnosis). Cases with potential errors were further reviewed by four pediatric intensivists who made final consensus determinations of diagnostic error occurrence. Demographic, clinical, clinician, and encounter data were also collected. SETTING: Four academic tertiary-referral PICUs. PATIENTS: Eight hundred eighty-two randomly selected patients 0-18 years old who were nonelectively admitted to participating PICUs. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 882 patient admissions, 13 (1.5%) had a diagnostic error up to 7 days after PICU admission. Infections (46%) and respiratory conditions (23%) were the most common missed diagnoses. One diagnostic error caused harm with a prolonged hospital stay. Common missed diagnostic opportunities included failure to consider the diagnosis despite a suggestive history (69%) and failure to broaden diagnostic testing (69%). Unadjusted analysis identified more diagnostic errors in patients with atypical presentations (23.1% vs 3.6%, p = 0.011), neurologic chief complaints (46.2% vs 18.8%, p = 0.024), admitting intensivists greater than or equal to 45 years old (92.3% vs 65.1%, p = 0.042), admitting intensivists with more service weeks/year (mean 12.8 vs 10.9 wk, p = 0.031), and diagnostic uncertainty on admission (77% vs 25.1%, p < 0.001). Generalized linear mixed models determined that atypical presentation (odds ratio [OR] 4.58; 95% CI, 0.94-17.1) and diagnostic uncertainty on admission (OR 9.67; 95% CI, 2.86-44.0) were significantly associated with diagnostic error. CONCLUSIONS: Among critically ill children, 1.5% had a diagnostic error up to 7 days after PICU admission. Diagnostic errors were associated with atypical presentations and diagnostic uncertainty on admission, suggesting possible targets for intervention.

Diagnostic Errors in Pediatric Critical Care: A Systematic Review.

OBJECTIVES: To summarize the literature on prevalence, impact, and contributing factors related to diagnostic error in the PICU. DATA SOURCES: Search of PubMed, EMBASE, and the Cochrane Library up to December 2019. STUDY SELECTION: Studies on diagnostic error and the diagnostic process in pediatric critical care were included. Non-English studies with no translation, case reports/series, studies providing no information on diagnostic error, studies focused on non-PICU populations, and studies focused on a single condition/disease or a single diagnostic test/tool were excluded. DATA EXTRACTION: Data on research design, objectives, study sample, and results pertaining to the prevalence, impact, and factors associated with diagnostic error were abstracted from each study. DATA SYNTHESIS: Using independent tiered review, 396 abstracts were screened, and 17 studies (14 full-text, 3 abstracts) were ultimately included. Fifteen of 17 studies (88%) had an observational research design. Autopsy studies (autopsy rates were 20-47%) showed a 10-23% rate of missed major diagnoses; 5-16% of autopsy-discovered diagnostic errors had a potential adverse impact on survival and would have changed management. Retrospective record reviews reported varying rates of diagnostic error from 8% in a general PICU population to 12% among unexpected critical admissions and 21-25% of patients discussed at PICU morbidity and mortality conferences. Cardiovascular, infectious, congenital, and neurologic conditions were most commonly misdiagnosed. Systems factors (40-67%), cognitive factors (20-3%), and both systems and cognitive factors (40%) were associated with diagnostic error. Limited information was available on the impact of misdiagnosis. CONCLUSIONS: Knowledge of diagnostic errors in the PICU is limited. Future work to understand diagnostic errors should involve a balanced focus between studying the diagnosis of individual diseases and uncovering common system- and process-related determinants of diagnostic error.

Implementation of an ICU Bundle: An Interprofessional Quality Improvement Project to Enhance Delirium Management and Monitor Delirium Prevalence in a Single PICU.

OBJECTIVES: To examine the impact of an ICU bundle on delirium screening and prevalence and describe characteristics of delirium cases. DESIGN: Quality improvement project with prospective observational analysis. SETTING: Nineteen-bed PICU in an urban academic medical center. PATIENTS: All consecutive patients admitted from December 1, 2013, to September 30, 2015. INTERVENTIONS: A multidisciplinary team implemented an ICU bundle consisting of three clinical protocols: delirium, sedation, and early mobilization using the Plan-Do-Study-Act cycles as part of a quality improvement project. The delirium protocol implemented in December 2013 consisted of universal screening with the Cornell Assessment of Pediatric Delirium revised instrument, prevention and treatment strategies, and case conferences. The sedation protocol and early mobilization protocol were implemented in October 2014 and June 2015, respectively. MEASUREMENTS AND MAIN RESULTS: One thousand eight hundred seventy-five patients were screened using the Cornell Assessment of Pediatric Delirium revised tool. One hundred forty patients (17%) had delirium (having Cornell Assessment of Pediatric Delirium revised scores ≥ 9 for 48 hr or longer). Seventy-four percent of delirium positive patients were mechanically ventilated of which 46% were younger than 12 months and 59% had baseline developmental delays. Forty-one patients had emerging delirium (having one Cornell Assessment of Pediatric Delirium revised score ≥ 9). Statistical process control was used to evaluate the impact of three ICU bundle process changes on monthly delirium rates over a 22-month period. The delirium rate decreased with the implementation of each phase of the ICU bundle. Ten months after the delirium protocol was implemented, the mean delirium rate was 19.3%; after the sedation protocol and early mobilization protocols were implemented, the mean delirium rate was 11.84%. CONCLUSIONS: Implementation of an ICU bundle along with staff education and case conferences is effective for improving delirium screening, detection, and treatment and is associated with decreased delirium prevalence.

A multicenter outcomes analysis of children with severe rhino/enteroviral respiratory infection.

OBJECTIVES: To investigate the impact of human rhino/enteroviruses on morbidity and mortality outcomes in children with severe viral respiratory infection. DESIGN: Retrospective cohort study. SETTING: The ICU, either PICU or cardiac ICU, at three urban academic tertiary-care children's hospitals. PATIENTS: All patients with laboratory-confirmed human rhino/enteroviruses infection between January 2010 and June 2011. INTERVENTIONS: We captured demographic and clinical data and analyzed associated morbidity and mortality outcomes. MEASUREMENTS AND MAIN RESULTS: There were 519 patients included in our analysis. The median patient age was 2.7 years. The median hospital and ICU lengths of stay were 4 days and 2 days, respectively. Thirty-four percent of patients had a history of asthma, and 25% of patients had a chronic medical condition other than asthma. Thirty-two percent of patients required mechanical ventilation. Eleven patients (2.1%) did not survive to hospital discharge. The rate of viral coinfection was 12.5% and was not associated with mortality. Predisposing factors associated with increased mortality included immunocompromised state (p < 0.001), ICU admission severity of illness score (p < 0.001), and bacterial coinfection (p = 0.003). CONCLUSIONS: There is substantial morbidity associated with severe respiratory infection due to human rhino/enteroviruses in children. Mortality was less severe than reported in other respiratory viruses such as influenza and respiratory syncytial virus. The burden of illness from human rhino/enteroviruses in the ICU in terms of resource utilization may be considerable.

Diagnostic errors in the pediatric and neonatal ICU: a systematic review.

OBJECTIVE: Diagnostic errors lead to preventable hospital morbidity and mortality. ICU patients may be at particularly high risk for misdiagnosis. Little is known about misdiagnosis in pediatrics, including PICU and neonatal ICU. We sought to assess diagnostic errors in PICU and neonatal ICU settings by systematic review. DATA SOURCES: We searched PubMed, Embase, CINAHL, and Cochrane. STUDY SELECTION: We identified observational studies reporting autopsy-confirmed diagnostic errors in PICU or neonatal ICU using standard Goldman criteria. DATA EXTRACTION: We abstracted patient characteristics, diagnostic error description, rates and error classes using standard Goldman criteria for autopsy misdiagnoses and calculated descriptive statistics. DATA SYNTHESIS: We screened 329 citations, examined 79 full-text articles, and included 13 studies (seven PICU; six neonatal ICU). The PICU studies examined a total of 1,063 deaths and 498 autopsies. Neonatal ICU studies examined a total of 2,124 neonatal deaths and 1,259 autopsies. Major diagnostic errors were found in 19.6% of autopsied PICU and neonatal ICU deaths (class I, 4.5%; class II, 15.1%). Class I (potentially lethal) misdiagnoses in the PICU (43% infections, 37% vascular) and neonatal ICU (62% infections, 21% congenital/metabolic) differed slightly. Although missed infections were most common in both settings, missed vascular events were more common in the PICU and missed congenital conditions in the neonatal ICU. CONCLUSION: Diagnostic errors in PICU/neonatal ICU populations are most commonly due to infection. Further research is needed to better quantify pediatric intensive care-related misdiagnosis and to define potential strategies to reduce their frequency or mitigate misdiagnosis-related harm.

A multicenter outcomes analysis of children with severe viral respiratory infection due to human metapneumovirus.

OBJECTIVE: To investigate the impact of human metapneumovirus on morbidity and mortality outcomes in children with severe viral respiratory infection. DESIGN: Retrospective cohort study. SETTING: ICU, either PICU or cardiac ICU, at three urban academic tertiary care children's hospitals. PATIENTS: All patients admitted to an ICU with laboratory-confirmed human metapneumovirus infection between January 2010 and June 2011. INTERVENTIONS: We captured demographic and clinical data and analyzed associated morbidity and mortality outcomes. MEASUREMENTS AND MAIN RESULTS: There were 111 patients with laboratory-confirmed human metapneumovirus admitted to an ICU at one of the three participating institutions during the period of study. The median hospital length of stay was 7 days (interquartile range 4-18 days) and median ICU length of stay was 4 days (interquartile range 1-10 days). Ten patients (9%) did not survive to discharge. Predisposing factors associated with increased mortality included female gender (p = 0.002), presence of a chronic medical condition (p = 0.04), and hospital acquisition of human metapneumovirus infection (p = 0.006). Adjusting for female gender, chronic medical conditions, hospital acquisition of infection and severity of illness score, logistic regression analysis demonstrated that female gender, hospital acquisition of infection, and chronic medical conditions each independently increased the odds of mortality (odds ratios 14.8, 10.7, and 12.7, respectively). CONCLUSIONS: Analysis of our results suggests that there is substantial morbidity and mortality associated with severe viral respiratory infection due to human metapneumovirus in children. Female gender, hospital acquisition of human metapneumovirus infection, and presence of chronic medical conditions each independently increases mortality. The burden of illness from human metapneumovirus on the ICU in terms of resource utilization may be considerable.

Real-time forecasting of pediatric intensive care unit length of stay using computerized provider orders.

OBJECTIVE: To develop a model to produce real-time, updated forecasts of patients' intensive care unit length of stay using naturally generated provider orders. The model was designed to be integrated within a computerized decision support system to improve patient flow management. DESIGN: Retrospective cohort study. SETTING: Twenty-six bed pediatric intensive care unit within an urban, academic children's hospital using a computerized order entry system. PATIENTS: A total of 2,178 consecutive pediatric intensive care unit admissions during a 16-month time period. MEASUREMENTS AND MAIN RESULTS: We obtained unit length of stay measurements, time-stamped provider orders, age, admission source, and readmission status. A joint discrete-time logistic regression model was developed to produce probabilistic length of stay forecasts from continuously updated provider orders. Accuracy was assessed by comparing forecasted expected discharge time with observed discharge time, rank probability scoring, and calibration curves. Cross-validation procedures were conducted. The distribution of length of stay was heavily right-skewed with a mean of 3.5 days (95% confidence interval 0.3-19.1). Provider orders were predictive of length of stay in real-time accurately forecasting discharge within a 12-hr window: 46% for patients within 1 day of discharge, 34% for patients within 2 days of discharge, and 27% for patients within 3 days of discharge. The forecast model incorporating predictive orders demonstrated significant improvements in accuracy compared with forecasts based solely on empirical and temporal information. Seventeen predictive orders were found, grouped by medication, ventilation, laboratory, diet, activity, foreign body, and extracorporeal membrane oxygenation. CONCLUSIONS: Provider orders reflect dynamic changes in patients' conditions, making them useful for real-time length of stay prediction and patient flow management. Patients' length of stay represent a major source of variability in intensive care unit resource utilization and if accurately predicted and communicated, may lead to proactive bed management with more efficient patient flow.

A qualitative study of expert and team cognition on complex patients in the pediatric intensive care unit.

OBJECTIVES: To understand expert and team cognition of complex patients in the pediatric intensive care unit through the use of cognitive task analysis. DESIGN: Qualitative study with semistructured interviews. SETTING: Academic medical center pediatric intensive care unit. PARTICIPANTS: Physicians, nurses, and nurse practitioners. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Semistructured interviews were conducted with members of the critical care team involved with the care of seven complex patients. Interviews were transcribed and themes were identified based on grounded theory and further divided into categories. A focus group of critical care team members further refined and validated the findings. From the interviews, 177 verbal fragments were sorted into 11 themes. Four broad thematic categories were identified and a cognitive framework for the care of complex patients was formulated. We found that at the center of this framework, critical care teams attempt to create and share mental models of their patients. These mental models serve as the framework for delivery of longitudinal care across handovers and shift changes. The analysis revealed that this process is limited by a number of factors such that team members utilize a variety of techniques to overcome these limitations and develop more complete and shared mental models. CONCLUSIONS: An inadequately developed or inadequately shared mental model is a substantial cognitive limitation for expert and team cognition in the complex environment of the pediatric intensive care unit. Providers utilize techniques that may avoid or decrease the variable interpretations of patient condition that would otherwise impair mental model formation and sharing. Future studies should be designed to enhance mental model formation and communication in the pediatric intensive care unit and other environments that deal with complex patients.

"ABC-SBAR" training improves simulated critical patient hand-off by pediatric interns.

OBJECTIVES: This study was done to assess whether a modified "ABC-SBAR" mnemonic (airway, breathing, circulation followed by situation, background, assessment, and recommendation) improves hand-offs by pediatric interns in a simulated critical patient scenario. METHODS: Each of 26 interns reviewed a scenario involving a decompensating pediatric patient and gave a simulated hand-off to a responder. They received a didactic session on ABC-SBAR, then performed a second hand-off using another scenario. Two blinded reviewers assessed 52 video-recorded hand-offs for inclusion, order, and elapsed time to essential hand-off information using a scoring tool. RESULTS: Mean score of hand-offs increased after ABC-SBAR training (preintervention: 3.1/10 vs postintervention: 7.8/10, P < 0.001). In hand-offs after ABC-SBAR training, the reason for the emergency call was more often prioritized before background information (preintervention: 4% vs postintervention: 81%, P < 0.001) and stated earlier (elapsed time preintervention: 19 seconds vs postintervention: 7 seconds, P < 0.001). Hand-offs including an airway or breathing assessment increased after training (preintervention: 35% vs postintervention: 85%, P = 0.001), and this information was also stated earlier (preintervention: 25 seconds vs postintervention: 5 seconds, P < 0.001). Total hand-off duration was increased (preintervention: 29 seconds vs postintervention: 36 seconds, P = 0.004). CONCLUSIONS: Unstructured hand-off by interns in a simulated patient emergency emphasizes background information, leaving essential information (such as reason for the call and ABCs) delayed or omitted. ABC-SBAR was associated with improved inclusion and timeliness of essential information in simulated critical patient hand-offs by pediatric interns; however, hand-off duration was increased. Further studies are needed to elucidate optimal hand-off in an emergency situation.

A Research Agenda for Diagnostic Excellence in Critical Care Medicine.

Diagnosing critically ill patients in the intensive care unit is difficult. As a result, diagnostic errors in the intensive care unit are common and have been shown to cause harm. Research to improve diagnosis in critical care medicine has accelerated in past years. However, much work remains to fully elucidate the diagnostic process in critical care. To achieve diagnostic excellence, interdisciplinary research is needed, adopting a balanced strategy of continued biomedical discovery while addressing the complex care delivery systems underpinning the diagnosis of critical illness.

Encephalitis and cytokine storm secondary to respiratory viruses in children: Two case reports.

Introduction: Encephalitis is a syndrome characterized by brain damage secondary to an inflammatory process that is manifested by cognitive impairment and altered cerebral spinal fluid analysis; it may evolve with seizures and coma. Despite viral infections representing the main cause of encephalitis in children, respiratory syncytial virus (RSV) and parainfluenza virus are mostly associated with respiratory presentations. Uncommonly, the inflammatory phenomena from encephalitis secondary to viral agents may present with an exacerbated host response, the so-called cytokine storm. The link between these infectious agents and neurologic syndromes resulting in a cytokine storm is rare, and the underlying pathophysiology is still poorly understood. Case presentation: A 5-year-old girl and a 2-year-old boy infected with parainfluenza and RSV, respectively, were identified through nasopharyngeal polymerase chain reaction. They were admitted into the pediatric intensive care unit due to encephalitis and multiple organ dysfunction manifested with seizures and hemodynamic instability. Magnetic resonance imaging findings from the first patient revealed a bilateral hypersignal on fluid-attenuated inversion recovery in the cerebral hemispheres, especially in the posterior parietal and occipital regions. The girl also had elevated IL-6 levels during the acute phase and evolved with a fast recovery of the clinical presentations. The second patient progressed with general systemic complications followed by cerebral edema and death. Conclusion: Encephalitis secondary to respiratory viral infection might evolve with cytokine storm and multiorgan inflammatory response in children.

Critical evaluation of emergency stockpile ventilators in an in vitro model of pediatric lung injury.

OBJECTIVE: Modern health care systems may be inadequately prepared for mass casualty respiratory failure requiring mechanical ventilation. Current health policy has focused on the "stockpiling" of emergency ventilators, though little is known about the performance of these ventilators under conditions of respiratory failure in adults and children. In this study, we seek to compare emergency ventilator performance characteristics using a test lung simulating pediatric lung injury. DESIGN: Evaluation of ventilator performance using a test lung. SETTING: Laboratory. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Six transport/emergency ventilators capable of adult/child application were chosen on the basis of manufacturer specifications, Autovent 3000, Eagle Univent 754, EPV 100, LP-10, LTV 1200, and Parapac 200D. Manufacturer specifications for each ventilator were reviewed and compared with known standards for alarms and functionality for surge capacity ventilators. The delivered tidal volume, gas flow characteristics, and airway pressure waveforms were evaluated in vitro using a mechanical test lung to model pediatric lung injury and integrated software. Test lung and flow meter recordings were analyzed over a range of ventilator settings. Of the six ventilators assessed, only two had the minimum recommended alarm capability. Four of the six ventilators tested were capable of being set to deliver a tidal volume of less than 200 mL. The delivered tidal volume for all ventilators was within 8% of the nominal setting at a positive end expiratory pressure of zero but was reduced significantly with the addition of positive end expiratory pressure (range, ±10% to 30%; p < .01). All ventilators tested performed comparably at higher set tidal volumes; however, only three of the ventilators tested delivered a tidal volume across the range of ventilator settings that was comparable to that of a standard intensive care unit ventilator. CONCLUSIONS: Multiple ventilators are available for the provision of ventilation to children with respiratory failure in a mass casualty scenario. Few of these ventilators possess the minimum alarm functionality and consistently deliver the prescribed tidal volume that allows for safe and effective ventilation of critically ill pediatric patients. These findings will help clinicians understand the performance and limitations of available ventilators intended for use in children.

In vitro performance comparison of the Sensormedics 3100A and B high-frequency oscillatory ventilators.

OBJECTIVE: The Sensormedics 3100A and 3100B are widely used to provide high-frequency oscillatory ventilation in clinical practice. Infants and children <35 kg are typically oscillated with the 3100A and >35 kg with the 3100B. This study compares the effect of ventilator and patient parameters on delivered tidal volume during high-frequency oscillatory ventilation of a test lung with these devices. DESIGN: Laboratory-based study. SUBJECTS: Test lung and Sensormedics 3100A and 3100B high-frequency oscillators. INTERVENTIONS: A previously validated hot-wire flowmeter (Florian) was placed in series with either a 3100A (n = 3) or 3100B (n = 3) ventilator and a Michigan test lung. Tidal volumes were measured over a range of mean airway pressure, inspiratory:expiratory ratio, frequency, pressure amplitude, and endotracheal tube internal diameter. MEASUREMENTS AND MAIN RESULTS: The 3100A and 3100B delivered similar tidal volumes across a range of ventilator parameters for an inspiratory:expiratory ratio of 1:1, differing by <10%. However, at an inspiratory:expiratory ratio of 1:2, there was a statistically significant decrease in tidal volume for the 3100B compared with the 3100A at lower frequencies, which was partially mitigated by increasing pressure amplitude. The difference in the generated pressure and flow waveforms may account for the observed tidal volume differences between the high-frequency oscillatory ventilation models. Delivered tidal volume was highly dependent on endotracheal tube size. CONCLUSIONS: Multiple variables contribute to the delivered tidal volume during high-frequency oscillatory ventilation, including ventilator model selection and endotracheal tube size. It is possible that real-time, clinical monitoring of delivered tidal volume during high-frequency oscillatory ventilation would allow better titration and maximize performance of these ventilators in caring for critically ill patients.

Bedside Rounds in Intensive Care Units during the COVID-19 Pandemic and Beyond.

A survey-based pilot study was performed to examine the feasibility of videoconferencing to facilitate multidisciplinary rounds following the initiation of strict isolation and social distancing policies in a pediatric intensive care unit (PICU). The use of a mobile workstation was implemented as the central hub for rounding at the bedside by the attending physicians, while other members of the multidisciplinary and multispecialty team joined rounds from other locations with maintaining appropriate social distance. Fifty-eight staff members who participated in videoconferencing rounds completed the postimplementation survey. Eighty-eight per cent of staff agreed that the use of videoconferencing to facilitate rounds was an effective strategy to maintain social distancing between team members during the pandemic. Sixty-four percent of staff agreed that the use of videoconferencing improved participation of the PICU team and consultants by increasing access to rounds. Over 50% of staff agreed that the use of videoconferencing improved the efficiency of rounds and team productivity. Only 4% of staff responded that videoconferencing increased the duration of rounds and 37% responded that it decreased resident and team education. Fifty-five percent of staff agreed that videoconferencing was used to promote parental participation during this pandemic month. Videoconferencing was found to be a feasible solution to safely conduct multidisciplinary rounds while maintaining social distancing, and participants found it effective without interfering with normal workflow. Incorporating videoconferencing into traditional rounding practices may be advantageous following the pandemic to improve team and family access to rounds and workflow efficiency and rounding structure.

The Impact of Dedicated Cardiac Intensive Care Units on Outcomes in Pediatric Cardiac Surgery: A Virtual Pediatric Systems Database Analysis.

Care of children undergoing cardiac surgery occurs in dedicated cardiac intensive care units (CICU) or mixed intensive care units. In this article, we analyzed data from Virtual Pediatric Systems (VPS, LLC) database (2009-2014) for children < 18 years of age undergoing cardiac surgery, classified according to Society of Thoracic Surgery-European Association of Cardiothoracic Surgery (STS-EACTS) risk category. We had 25,052 (52%) patients in 53 mixed units (mortality rate, 2.99%), and 22,762 (48%) patients in 19 dedicated CICUs (mortality rate, 2.62%). There was a direct relationship between STS-EACTS risk category and death rate in both units. By multivariable logistic and linear regression, there was no difference in mortality between mixed unit and CICU death rates within STS-EACTS risk categories. We found no difference in outcomes for children undergoing cardiac surgery based on the unit type (dedicated CICU or mixed unit).

Reduction in paediatric intensive care admissions during COVID-19 lockdown in Maryland, USA.

As a public health measure during the COVID-19 pandemic, governments around the world instituted a variety of interventions to 'flatten the curve'. The government of Maryland instituted similar measures. We observed a striking decline in paediatric intensive care unit (PICU) admissions during that period, mostly due to a decease in respiratory infections. We believe this decline is multifactorial: less person-to-person contact, better air quality and perhaps 'fear' of going to a hospital during the pandemic. We report an analysis of our PICU admissions during the lockdown period and compared them with the same time period during the four previous years.

Preventing Retained Surgical Items During Endovascular Procedures: Bridging the Gap Between Guidelines and Practice.

A retained surgical item (RSI) can be a devastating and costly procedural complication. Although the current incidence of RSIs is unknown, perioperative personnel routinely perform surgical counts according to their facility's policies and procedures to prevent this sentinel event. The American College of Surgeons, The Joint Commission, and AORN emphasize the importance of communication and standardized protocols for the counting of surgical items. However, there is a lack of current evidence to support specific recommendations for the counting of items during endovascular procedures. After the occurrence of RSIs during endovascular procedures at our facility, we convened an interdisciplinary workgroup, conducted an analysis of root causes, reviewed the available literature, and revised the existing policy. This article reviews the available literature on RSIs, describes root causes, discusses recommendations from national organizations, and describes the process that we used to create the policy changes at our facility.

Integrating a safety smart list into the electronic health record decreases intensive care unit length of stay and cost.

PURPOSE: To measure how an integrated smartlist developed for critically ill patients would change intensive care units (ICUs) length of stay (LOS), mortality, and charges. MATERIALS AND METHODS: Propensity-score analysis of adult patients admitted to one of 14 surgical and medical ICUs between June 2017 and May 2018. The smart list aimed to certain preventative measures for all critical patients (e.g., removing unneeded catheters, starting thromboembolic prophylaxis, etc.) and was integrated into the electronic health record workflows at the hospitals under study. RESULTS: During the study period, 11,979 patients were treated in the 14 participating ICUs by 518 unique providers. Patients who had the smart list used during ≥60% of their ICU stay (N = 432 patients, 3.6%) were significantly more likely to have a shorter ICU LOS (HR = 1.20, 95% CI:1.0 to 1.4, p = 0.015) with an average decrease of -$1218 (95% CI: -$1830 to -$607, P < 0.001) in the amount charged per day. The intervention cohort had fewer average ventilator days (3.05 vent days, SD = 2.55) compared to propensity score matched controls (3.99, SD = 4.68, p = 0.015), but no changes in mortality (16.7% vs 16.0%, p = 0.78). CONCLUSIONS: An integrated smart list shortened LOS and lowered charges in a diverse cohort of critically ill patients.

Redistribution of pulmonary blood flow impacts thermodilution-based extravascular lung water measurements in a model of acute lung injury.

BACKGROUND: Studies using transthoracic thermodilution have demonstrated increased extravascular lung water (EVLW) measurements attributed to progression of edema and flooding during sepsis and acute lung injury. The authors hypothesized that redistribution of pulmonary blood flow can cause increased apparent EVLW secondary to increased perfusion of thermally silent tissue, not increased lung edema. METHODS: Anesthetized, mechanically ventilated canines were instrumented with PiCCO (Pulsion Medical, Munich, Germany) catheters and underwent lung injury by repetitive saline lavage. Hemodynamic and respiratory physiologic data were recorded. After stabilized lung injury, endotoxin was administered to inactivate hypoxic pulmonary vasoconstriction. Computed tomographic imaging was performed to quantify in vivo lung volume, total tissue (fluid) and air content, and regional distribution of blood flow. RESULTS: Lavage injury caused an increase in airway pressures and decreased arterial oxygen content with minimal hemodynamic effects. EVLW and shunt fraction increased after injury and then markedly after endotoxin administration. Computed tomographic measurements quantified an endotoxin-induced increase in pulmonary blood flow to poorly aerated regions with no change in total lung tissue volume. CONCLUSIONS: The abrupt increase in EVLW and shunt fraction after endotoxin administration is consistent with inactivation of hypoxic pulmonary vasoconstriction and increased perfusion to already flooded lung regions that were previously thermally silent. Computed tomographic studies further demonstrate in vivo alterations in regional blood flow (but not lung water) and account for these alterations in shunt fraction and EVLW.