Sedation/agitation monitoring using a wearable device for ventilated children.

BACKGROUND: Developing continuous and labor-saving sedation/agitation monitoring methods in ventilated children is important to avoid undesirable events such as unplanned extubation. The existing scales are often challenging to use. We therefore aimed to evaluate the feasibility of sedation/agitation monitoring using a wearable device with a built-in accelerometer for ventilated children. METHODS: This prospective observational pilot study included children aged 15 years or less, admitted to the pediatric intensive care unit on mechanical ventilation after cardiac catheterization between December 2021 and April 2022. The wearable device with a built-in accelerometer was attached to either of the upper limbs, and accelerations due to upper limb movements were measured for 2 h after admission or until extubation, whichever was earliest. Accelerations were measured at 0.02 s intervals, with the mean acceleration calculated for each 1 min interval. The State Behavioral Scale (SBS) was completed at 1 min intervals, with the SBS score (-1, 0, 1, or 2) compared with the mean acceleration. RESULTS: The study included 20 children with a median age of 12 months. The mean accelerations and SBS scores were positively correlated (Kendall's τ, 0.22; p < 0.001), with an increase in the median (interquartile range) acceleration from an SBS score of -1 through 2, as follows: SBS -1, 0.200 (0.151-0.232) m/s2 ; SBS 0, 0.202 (0.190-0.235) m/s2 ; SBS, 1, 0.312 (0.236-0.427) m/s2 ; SBS 2, 0.455 (0.332-0.517) m/s2 . No adverse events were observed. CONCLUSIONS: This study showed that continuous, labor-saving sedation/agitation monitoring of ventilated children was feasible using a wearable device with a built-in accelerometer.

Machine Learning-Based Prediction of Hospital Admission Among Children in an Emergency Care Center.

OBJECTIVES: Machine learning-based prediction of hospital admissions may have the potential to optimize patient disposition and improve clinical outcomes by minimizing both undertriage and overtriage in crowded emergency care. We developed and validated the predictive abilities of machine learning-based predictions of hospital admissions in a pediatric emergency care center. METHODS: A prognostic study was performed using retrospectively collected data of children younger than 16 years who visited a single pediatric emergency care center in Osaka, Japan, between August 1, 2016, and October 15, 2019. Generally, the center treated walk-in children and did not treat trauma injuries. The main outcome was hospital admission as determined by the physician. The 83 potential predictors available at presentation were selected from the following categories: demographic characteristics, triage level, physiological parameters, and symptoms. To identify predictive abilities for hospital admission, maximize the area under the precision-recall curve, and address imbalanced outcome classes, we developed the following models for the preperiod training cohort (67% of the samples) and also used them in the 1-year postperiod validation cohort (33% of the samples): (1) logistic regression, (2) support vector machine, (3) random forest, and (4) extreme gradient boosting. RESULTS: Among 88,283 children who were enrolled, the median age was 3.9 years, with 47,931 (54.3%) boys and 1985 (2.2%) requiring hospital admission. Among the models, extreme gradient boosting achieved the highest predictive abilities (eg, area under the precision-recall curve, 0.26; 95% confidence interval, 0.25-0.27; area under the receiver operating characteristic curve, 0.86; 95% confidence interval, 0.84-0.88; sensitivity, 0.77; and specificity, 0.82). With an optimal threshold, the positive and negative likelihood ratios were 4.22, and 0.28, respectively. CONCLUSIONS: Machine learning-based prediction of hospital admissions may support physicians' decision-making for hospital admissions. However, further improvements are required before implementing these models in real clinical settings.

Prognostic Factors Among Children With Acute Encephalitis/Encephalopathy Associated With Viral and Other Pathogens.

BACKGROUND: Acute encephalitis/encephalopathy (AE) associated with viral and other pathogens leads to neurological sequelae and mortality. Knowing the prognostic factors is therefore important for immediate interventions. We examined early-phase unfavorable prognostic factors among children with AE using a nationwide database. METHODS: We performed a retrospective cohort study using the Diagnosis Procedure Combination database, which includes approximately half of acute-care inpatients across Japan. We enrolled children aged ≤ 18 years who were hospitalized for AE and discharged from April 2010 to March 2018. The composite unfavorable outcome included the following at discharge: in-hospital death, tracheostomy, enteral tube feeding, and physical rehabilitation. Unfavorable prognostic factors were assessed using a multivariable Poisson regression model including patient characteristics, associated pathogens, and interventions within 2 days of admission adjusting for within-hospital clustering. RESULTS: This study included 9386 children with AE (median age, 3 years). A total of 241 (2.6%) in-hospital deaths occurred, and 2027 (21.6%) patients had the composite unfavorable outcome. Significant unfavorable prognostic factors were age 12-18 years, congenital anomalies, epilepsy, and Japan Coma Scale score of 100-300 at admission (ie, worse levels of consciousness). In contrast, herpes simplex virus infection and influenza virus infection were associated with favorable outcomes. CONCLUSIONS: We identified early-phase (within 2 days of admission) unfavorable prognostic factors among children with AE. These findings will help identify patients who may benefit from early aggressive therapeutic interventions.

Quality Assessment of the Literature on Quality Improvement in PICUs: A Systematic Review.

OBJECTIVES: To synthesize the literature describing quality improvement in PICUs and to appraise the quality of extant research. DATA SOURCES: We searched the PubMed, Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Central Register of Controlled Trials databases between May and June 2020. STUDY SELECTION: Peer-reviewed articles in English that report quality improvement interventions in PICUs were included. Titles and abstracts were screened, and articles were reviewed to determine whether they met quality improvement criteria. DATA EXTRACTION: Data were abstracted using a structured template. The quality of the included articles was assessed using the Quality Improvement Minimum Quality Criteria Set and scored on a scale of 0-16. DATA SYNTHESIS: Of the 2,449 articles identified, 158 were included in the analysis. The most common targets of quality improvement interventions were healthcare-associated infections (n = 17, 10.8%), handoffs (n = 15, 9.5%), rounds (n = 13, 8.2%), sedation/pain/delirium (n = 13, 8.2%), medication safety (n = 11, 7.0%), and unplanned extubation (n = 9, 5.7%). Of the six domains of healthcare quality described by the Institute of Medicine, patient-centeredness and timeliness were infrequently addressed, and none of the studies addressed equity. The median quality score based on the Quality Improvement Minimum Quality Criteria Set was 11.0 (25-75th interquartile range, 9.0-13.0). Although the quantity and quality of articles have been increasing, only 17% of the studies were deemed "high quality," having a score between 14 and 16. Only eight articles (5%) cited Standards for QUality Improvement Reporting Excellence guidelines for reporting quality improvement works. CONCLUSIONS: The number of publications, including high-quality publications, on quality improvement interventions in PICUs has been increasing. However, low-quality articles continue to be published, even in recent years. Therefore, there is room for improvement in the quality of reporting.

Application of Multiplex Polymerase Chain Reaction for Pathogen Identification and Antibiotic Use in Children With Respiratory Infections in a PICU.

OBJECTIVES: To compare the pathogen identification rate and use of antibiotics before and after the implementation of multiplex polymerase chain reaction testing in children with respiratory infections in a PICU. DESIGN: Single-center, pre-post study. SETTING: PICU of Osaka Women's and Children's Hospital, Osaka, Japan. PATIENTS: Consecutive children with respiratory infections who were admitted to the PICU between December 2017 and November 2018 (premultiplex polymerase chain reaction period) and between March 2019 and February 2020 (postmultiplex polymerase chain reaction period). INTERVENTIONS: Conventional rapid antigen tests and bacterial culture tests were performed throughout the study period. Multiplex polymerase chain reaction testing using the FilmArray respiratory panel (BioFire Diagnostics, Salt Lake City, UT) was conducted to detect 17 viruses and three bacterial pathogens. During the postmultiplex polymerase chain reaction period, we did not recommend prescribing antibiotics for stable children, depending on the virus species and laboratory test results. MEASUREMENTS AND MAIN RESULTS: Ninety-six and 85 children were enrolled during the pre- and postmultiplex polymerase chain reaction periods, respectively. Rapid antigen tests identified pathogens in 22% of the children (n = 21) during the premultiplex polymerase chain reaction period, whereas rapid antigen tests and/or multiplex polymerase chain reaction testing identified pathogens in 67% of the children (n = 57) during the postmultiplex polymerase chain reaction period (p < 0.001). The most commonly identified pathogen using multiplex polymerase chain reaction testing was human rhino/enterovirus. Bacterial pathogens were identified in 50% of the children (n = 48) and 60% of the children (n = 51) during the pre- and postmultiplex polymerase chain reaction periods (p = 0.18). There were no differences in antibiotic use (84% vs 75%; p = 0.14), broad-spectrum antibiotic use (33% vs 34%; p = 0.91), or the duration of antibiotic use within 14 days of admission (6.0 vs 7.0 d; p = 0.45) between the pre- and postmultiplex polymerase chain reaction periods. CONCLUSIONS: Although the pathogen identification rate, especially for viral pathogens, increased using multiplex polymerase chain reaction testing, antibiotic use did not reduce in children with respiratory infections in the PICU. Definitive identification of bacterial pathogens and implementation of evidence-based antimicrobial stewardship programs employing multiplex polymerase chain reaction testing are warranted.

Occurrence and Risk Factors for Unplanned Catheter Removal in a PICU: Central Venous Catheters Versus Peripherally Inserted Central Venous Catheters.

OBJECTIVES: We aimed to identify the occurrence and risk factors for unplanned catheter removal due to catheter-associated complications and the effects on catheter survival probability in a PICU. DESIGN: Retrospective, single-center, observational study of cases involving conventional central venous catheters or peripherally inserted central venous catheters. SETTING: The PICU of a tertiary children's hospital. PATIENTS: Consecutive PICU patients with central venous catheters between April 2016 and February 2019. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified unplanned catheter removals that were related to central line-associated bloodstream infection, thrombosis, and mechanical complications. During the study period, 582 central venous catheters and 474 peripherally inserted central venous catheters were identified. The median durations of catheter placement were 4.0 days for central venous catheters and 13.0 days for peripherally inserted central venous catheters (p < 0.001), and unplanned catheter removals due to catheter-associated complications were in 52 (8.9%) central venous catheter cases and 132 (27.8%) peripherally inserted central venous catheter cases (p < 0.001) (15.0 and 16.0 per 1,000 catheter-days, respectively [p = 0.75]). Unplanned catheter removal was associated with a peripheral catheter tip position among both central venous catheters and peripherally inserted central venous catheters (p < 0.001 and p = 0.001), and it was associated with surgical patient status among peripherally inserted central venous catheters (p = 0.009). In contrast, the use of ultrasound-guided insertion was associated with a lower occurrence of unplanned catheter removal among peripherally inserted central venous catheters (p = 0.01). With regard to catheter survival probability, there was no significant difference between central venous catheters and peripherally inserted central venous catheters (p = 0.23). However, peripherally inserted central venous catheters had a lower occurrence of central line-associated bloodstream infection than central venous catheters (p = 0.03), whereas there was no significant difference in the rates of thrombosis (p = 0.29) and mechanical complications (p = 0.84) between central venous catheters and peripherally inserted central venous catheters. CONCLUSIONS: In a PICU, peripherally inserted central venous catheters had lower occurrence of central line-associated bloodstream infection than central venous catheters; however, similar catheter survival probabilities were observed between both catheters. A central catheter tip position for both catheters and ultrasound-guided insertion for peripherally inserted central venous catheters may help limit unplanned catheter removal due to catheter-associated complications.

A novel method for transpulmonary pressure estimation using fluctuation of central venous pressure.

The objective of the study is to develop a correction method for estimating the change in pleural pressure (ΔPpl) and plateau transpulmonary pressure (PL) by using the change in central venous pressure (ΔCVP). Seven children (aged < 15 years) with acute respiratory failure (PaO2/FIO2 < 300 mmHg), who were paralyzed and mechanically ventilated with a PEEP of < 10 cmH2O and had central venous catheters and esophageal balloon catheters placed for clinical purposes, were enrolled prospectively. We compared change in esophageal pressure (ΔPes), ΔCVP, and ΔPpl calculated using a corrected ΔCVP (cΔCVP-derived ΔPpl). cΔCVP-derived ΔPpl was calculated as κ × ΔCVP, where κ was the ratio of the change in airway pressure (ΔPaw) to ΔCVP during the occlusion test. cΔCVP-derived ΔPpl correlated better than ΔCVP with ΔPes (R2 = 0.48, p = 0.08 vs. R2 = 0.14, p = 0.4) with lesser bias and precision in Bland-Altman analysis. The plateau PL calculated using the cΔCVP-derived ΔPpl (17.6 ± 2.6 cmH2O) correlated well with the ΔPes-derived plateau PL (18.1 ± 2.3 cmH2O) (R2 = 0.90, p = 0.001). Our correction method can estimate ΔPpl and plateau PL from ΔCVP with a reasonable accuracy in paralyzed and mechanically ventilated pediatric patients with respiratory failure.

Incidence and risk factors for readmission to a paediatric intensive care unit.

BACKGROUND: Unscheduled readmission to a paediatric intensive care unit can lead to unfavourable patient outcomes. Therefore, determining the incidence and risk factors is important. Previous studies on such readmissions have only focused on the first 48 hours after discharge and described the relative risk factors as unmodifiable. AIM: To identify the incidence and risk factors of unscheduled readmission to a paediatric intensive care unit within 7 days of discharge. DESIGN: This was a retrospective observational study. METHODS: Our study population comprised consecutive patients admitted to the paediatric intensive care unit of our tertiary hospital in Japan in 2012 to 2016. We determined the incidence of unscheduled readmission to the unit within 7 days of discharge and identified potential risk factors using multivariable logistic regression analysis. RESULTS: Among the 2432 admissions (1472 patients), 60 admissions (2.5%, 44 patients) were followed by ≥1 unscheduled readmission. The median time to readmission was 3.5 days. The most common causes for readmission were respiratory issues and cardiovascular symptoms. The significant risk factors for readmission within 7 days of discharge were unscheduled initial admission (odds ratio [OR]: 3.02; 95% confidence interval [CI:] 1.45-6.31), admission from a general ward (OR: 5.13; 95% CI: 1.75-15.0), and withdrawal syndrome during the initial stay (OR: 3.95; 95% CI: 1.53-10.2). CONCLUSIONS: The incidence of unscheduled readmission within 7 days was not high (2.5%), and one of the three identified risk factors for readmissions (withdrawal syndrome) is potentially modifiable. RELEVANCE TO CLINICAL PRACTICE: Appropriate treatment of withdrawal syndrome may reduce readmissions and improve patient outcomes. Although unscheduled initial admission and admission from general ward are not modifiable risk factors, careful discharge judgement and follow up after discharge from paediatric intensive care units for high-risk patients may be beneficial.

Long-term mortality and functional outcome after prolonged paediatric intensive care unit stay.

We performed a retrospective, observational study of patients who had spent > 14 days in the paediatric intensive care unit (PICU) of our hospital from 2011 to 2013. Specifically, long-term mortality, functional outcome, and PICU resource occupancy were examined. All prolonged-stay patients in our study were < 15 years of age. Favourable outcomes were defined as a Pediatric Overall Performance Category (POPC) score of 1-2, and unfavourable outcomes as a POPC score of 3-6 or death. During the study period, there were 1082 PICU admissions involving 805 patients, 111 (13.8%) of whom had one or more prolonged PICU stays. Among these patients, 100 (90%) survived to PICU discharge and 92 (83%) survived to hospital discharge. At the 3-year follow-up, the survival rate was 75% (77/102; nine patients were lost to follow-up) and the favourable outcome rate was 43% (44/102) (57% among survivors). Prolonged PICU-stay patients accounted for 50.5% of the PICU patient-days. Extremely prolonged stays (≥ 28 days) correlate with low favourable outcome rates (P = 0.03), but did not correlate with mortality rates (P = 0.16).Conclusion: Although prolonged PICU-stay patients utilized many PICU resources, most survived at least 3 years, and > 50% of the survivors had a favourable functional outcome (POPC score). What is Known: • The number of patients with prolonged paediatric intensive care unit (PICU) stays is increasing. • These patients utilize many resources and are at high risk for mortality and disabilities. What is New: • Although prolonged-stay patients accounted for 50% of PICU patient-days, their 3-year survival rate and favourable functional outcome rate (based on Pediatric Overall Performance Category scores) were relatively high. • Extremely prolonged stays (≥ 28 days) correlate with low favourable functional outcomes but not with mortality.

Effects of Healthcare-Associated Infections on Length of PICU Stay and Mortality.

OBJECTIVES: To identify the effects of healthcare-associated infections on length of PICU stay and mortality. DESIGN: Retrospective, single-center, observational study. SETTING: PICU of a tertiary children's hospital. PATIENTS: Consecutive patients who stayed greater than 48 hours in the PICU between January 2013 and December 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data were retrospectively collected from medical records. We identified occurrences of common healthcare-associated infections, including bloodstream infection, pneumonia, and urinary tract infection, defined according to the 2008 definitions of the Centers for Disease Control and Prevention and National Healthcare Safety Network. We assessed the effects of each healthcare-associated infection on length of PICU stay and PICU mortality using multivariable analysis. Among 1,622 admissions with a PICU stay greater than 48 hours, the median age was 299 days and male patients comprised 51% of admissions. The primary diagnostic categories were cardiovascular (58% of admissions), respiratory (21%), gastrointestinal (8%), and neurologic/muscular (6%). The median length of PICU stay was 6 days, and the PICU mortality rate was 2.5%. A total of 167 healthcare-associated infections were identified, including 67 bloodstream infections (40%), 43 pneumonias (26%), and 57 urinary tract infections (34%). There were 152 admissions with at least one healthcare-associated infection (9.4% of admissions with a stay > 48 hr). On multivariable analysis, although each healthcare-associated infection was not significantly associated with mortality, bloodstream infection was associated with an extra length of PICU stay of 10.2 days (95% CI, 7.9-12.6 d), pneumonia 14.2 days (11.3-17.2 d), and urinary tract infection 6.5 days (4.0-9.0 d). Accordingly, 9.7% of patient-days were due to these three healthcare-associated infections among patients with a stay greater than 48 hours. CONCLUSIONS: Although healthcare-associated infections were not associated with PICU mortality, they were associated with extra length of PICU stay. As 9.7% of patient-days were due to healthcare-associated infections, robust prevention efforts are warranted.

Antibiotic Prophylaxis for Open Chest Management After Pediatric Cardiac Surgery.

OBJECTIVES: Although open chest management optimizes hemodynamics after cardiac surgery, it increases postoperative infections and leads to increased mortality. Despite the importance of antibiotic prophylaxis during open chest management, no specific recommendations exist. We aimed to compare the occurrence rates of bloodstream infection and surgical site infection between the different prophylactic antibiotic regimens for open chest management after pediatric cardiac surgery. DESIGN: Retrospective, single-center, observational study. SETTING: PICU at a tertiary children's hospital. PATIENTS: Consecutive patients younger than or equal to 18 years old with open chest management after cardiac surgery followed by delayed sternal closure, between January 2012 and June 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We compared the composite occurrence rate of postoperative bloodstream infection and surgical site infection within 30 days after cardiac surgery between three prophylactic antibiotic regimens: 1) cefazolin, 2) cefazolin + vancomycin, and 3) vancomycin + meropenem. In 63 pediatric cardiac surgeries with open chest management, 17 bloodstream infections, and 12 surgical site infections were identified postoperatively. The composite occurrence rates of bloodstream infection and surgical site infection were 10 of 15 (67%), 10 of 19 (53%), and nine of 29 (31%) in the cefazolin, cefazolin + vancomycin, and vancomycin + meropenem regimens, respectively (p = 0.07). After adjusting for age, open chest management duration, extracorporeal membrane oxygenation use, and nasal methicillin-resistant Staphylococcus aureus colonization in multivariable analysis, there was no significant difference between the cefazolin and the cefazolin + vancomycin regimens (p = 0.19), while the vancomycin + meropenem regimen had a lower occurrence rate of bloodstream infection and surgical site infection than the cefazolin regimen (odds ratio, 0.0885; 95% CI, 0.0176-0.446; p = 0.003). CONCLUSIONS: In this study, a lower occurrence rate of postoperative bloodstream infection and surgical site infection was observed among patients with broad-spectrum antibiotic regimen after pediatric cardiac surgery with open chest management. Further studies, ideally randomized controlled studies investigating the efficacy of broad-spectrum antibiotics and their complications, are warranted before routine implementation of broad-spectrum prophylactic antibiotic regimen.

Outcomes of 'unrecognised situation awareness failures events' in intensive care unit transfer of children in a Japanese children's hospital.

AIM: To demonstrate that unrecognised situation awareness failures events (UNSAFE) transfers are associated with poorer outcomes in the intensive care unit (ICU) at a Japanese children's hospital lacking a rapid response system. METHODS: This retrospective cohort study was conducted between January 2013 and February 2016. UNSAFE transfers were defined as unplanned in-hospital ward-to-ICU transfers requiring tracheal intubation, vasoactive medications or ≥3 fluid boluses before arrival or in the first 60 min of ICU care. We compared ICU stay duration and mortality between UNSAFE and non-UNSAFE transfers. RESULTS: There were 2126 admissions to the paediatric ICU during the study period, and 244 cases met the definition of an unscheduled in-hospital transfer (11.5%). Of these, the number of patients transferred following cardiopulmonary resuscitation, in the UNSAFE group and in the non-UNSAFE group were 9 (3.7%), 68 (28%) and 167 (68%), respectively. In the UNSAFE group, the number of patients who required tracheal intubation, initiation of vasoactive medications or ≥ 3 fluid boluses in the first 60 min of ICU care or before arrival in the ICU was 61 (90%), 38 (56%) and 9 (13%), respectively. ICU stay duration and mortality were significantly poorer in the UNSAFE group than in the non-UNSAFE group (9 vs. 4 days, P < 0.0001; 13 vs. 4.2%, odds ratio = 3.5, 95% confidence interval = 1.2-9.8, P = 0.020, respectively). CONCLUSIONS: Patients who experienced UNSAFE transfers had longer ICU stays and higher mortality, and it may be used as a metric of evaluation of effects of rapid response system implementation.

Risk Factors for Healthcare-Associated Infections After Pediatric Cardiac Surgery.

OBJECTIVES: Healthcare-associated infections after pediatric cardiac surgery are significant causes of morbidity and mortality. We aimed to identify the risk factors for the occurrence of healthcare-associated infections after pediatric cardiac surgery. DESIGN: Retrospective, single-center observational study. SETTING: PICU at a tertiary children's hospital. PATIENTS: Consecutive pediatric patients less than or equal to 18 years old admitted to the PICU after cardiac surgery, between January 2013 and December 2015. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: All the data were retrospectively collected from the medical records of patients. We assessed the first surgery during a single PICU stay and identified four common healthcare-associated infections, including bloodstream infection, surgical site infection, pneumonia, and urinary tract infection, according to the definitions of the Centers for Disease Control and Prevention and National Healthcare Safety Network. We assessed the pre-, intra-, and early postoperative potential risk factors for these healthcare-associated infections via multivariable analysis. In total, 526 cardiac surgeries (394 patients) were included. We identified 81 cases of healthcare-associated infections, including, bloodstream infections (n = 30), surgical site infections (n = 30), urinary tract infections (n = 13), and pneumonia (n = 8). In the case of 71 of the surgeries (13.5%), at least one healthcare-associated infection was reported. Multivariable analysis indicated the following risk factors for postoperative healthcare-associated infections: mechanical ventilation greater than or equal to 3 days (odds ratio, 4.81; 95% CI, 1.89-12.8), dopamine use (odds ratio, 3.87; 95% CI, 1.53-10.3), genetic abnormality (odds ratio, 2.53; 95% CI, 1.17-5.45), and delayed sternal closure (odds ratio, 3.78; 95% CI, 1.16-12.8). CONCLUSIONS: Mechanical ventilation greater than or equal to 3 days, dopamine use, genetic abnormality, and delayed sternal closure were associated with healthcare-associated infections after pediatric cardiac surgery. Since the use of dopamine is an easily modifiable risk factor, and may serve as a potential target to reduce healthcare-associated infections, further studies are needed to establish whether dopamine negatively impacts the development of healthcare-associated infections.

Inter-shift variation in unscheduled intensive care unit transfers at a children's hospital.

BACKGROUND: The early detection of clinical deterioration and the prompt escalation of care is important but may be limited in the general ward, especially at night. Identifying variations between work shifts in the number of unscheduled in-hospital intensive care unit (ICU) transfers and emergency transfers involving life-threatening conditions may help implement targeted interventions to reduce delayed transfers and improve patient safety and outcomes. METHODS: All unscheduled ICU transfers in a tertiary children's hospital, from January 2013 to December 2016, were reviewed retrospectively. The transfers were categorized into safe transfers and adverse safety events (ASE). The 4 year cumulative numbers for each transfer category in each work shift (day, evening, and night) were assessed for comparison. An ASE was defined as transfer after cardiopulmonary resuscitation or tracheal intubation in the ward, or an unrecognized situation awareness failure event transfer, which was defined as previously reported. RESULTS: Of 244 unscheduled in-hospital ICU transfers, 167 were safe transfers and 77 were ASE. The number of unscheduled transfers and of ASE was highest during the day shift (n = 133 and 40, respectively) and lowest during the night shift (n = 25 and 12, respectively). In contrast, the proportion of ASE in the unscheduled transfers was higher during the night shift (48%) compared with the day and evening shifts (30% and 31%, respectively). CONCLUSIONS: The occurrence of unscheduled ICU transfers was disproportionately low during the night shift, whereas the majority of ASE happened during the day shift. Future studies focusing on unravelling the reasons for such variations are warranted.

Elevated Central Venous to Arterial CO2 Difference Is Not Associated With Poor Clinical Outcomes After Cardiac Surgery With Cardiopulmonary Bypass in Children.

OBJECTIVE: To investigate whether elevated central venous to arterial CO2 difference is associated with delayed extubation and prolonged ICU stay in children after cardiac surgery with cardiopulmonary bypass. DESIGN: Retrospective review of medical records. SETTING: PICU in a tertiary children's hospital. PATIENTS: Pediatric patients younger than 18 years old who underwent cardiac surgery with cardiopulmonary bypass between January 2014 and December 2014. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: In total, 114 patients were included in this study. On ICU admission, blood samples were obtained simultaneously from an arterial line and a central venous line. There were no strong correlations between central venous to arterial CO2 difference (median, 11.1 [8.4-13] mm Hg) and other commonly used variables for the assessment of oxygen delivery including arteriovenous oxyhemoglobin saturation difference (R = 0.16) and blood lactate concentration (R = 0.02). When the patients were divided into two groups, based on the CO2 difference, the high group (difference ≥ 6 mm Hg; n = 103 [90%]) and the low group (difference < 6 mm Hg; n = 11 [10%]) showed no difference in the time to extubation (6 vs 5 hr, respectively; p = 0.80) or in the time to discharge from ICU (4 vs 5 d, respectively; p = 0.49). There was no mortality within 30 days of surgery. CONCLUSIONS: Elevation of central venous to arterial CO2 difference on ICU admission in children after cardiac surgery with cardiopulmonary bypass does not appear to be associated with delayed extubation or prolonged ICU stay.

Reducing Human Album Solution Use in the Pediatric Intensive Care Unit.

Evidence for outcome improvement is limited for using 5% human albumin solution (5% albumin) in pediatric intensive care units (PICUs). However, 5% albumin was injudiciously used in our PICU. Therefore, we aimed to decrease 5% albumin use in pediatric patients (17 years old or younger) in the PICU by 50% in 12 months to improve health care efficiency. Methods: We plotted the mean 5% albumin volume used per PICU admission monthly on statistical process control charts through 3 study periods: baseline period before intervention (July 2019-June 2020), phase 1 (August 2020-April 2021), and phase 2 (May 2021-April 2022). With intervention 1, education, feedback, and an alert sign on 5% albumin stocks began in July 2020. This intervention continued until May 2021, when we executed intervention 2, removing 5% albumin from the PICU inventory. We also examined the lengths of invasive mechanical ventilation and PICU stay as balancing measures across the 3 periods. Results: Mean 5% albumin consumption per PICU admission decreased significantly from 48.1 to 22.4 mL after intervention 1 and 8.3 mL after intervention 2, with the intervention effects persisting for 12 months. Costs associated with 5% albumin per PICU admission significantly decreased by 82%. In terms of patient characteristics and balancing measures, the 3 periods were not different. Conclusions: Stepwise quality improvement interventions, including the system change with the elimination of the 5% albumin inventory from the PICU, were effective in reducing 5% albumin use in the PICU with sustained reduction.