Is Provider Training Level Associated with First Pass Success of Endotracheal Intubation in the Pediatric Intensive Care Unit?

Author(s):  
Chetna K. Pande ◽  
Kelsey Stayer ◽  
Thomas Rappold ◽  
Madeleine Alvin ◽  
Keri Koszela ◽  
...  

AbstractEndotracheal intubation is a life-saving procedure in critically ill pediatric patients and a foundational skill for critical care trainees. Multiple intubation attempts are associated with increased adverse events and increased morbidity and mortality. Thus, we aimed to determine patient and provider factors associated with first pass success of endotracheal intubation in the pediatric intensive care unit (PICU). This prospective, single-center quality improvement study evaluated patient and provider factors associated with multiple intubation attempts in a tertiary care, academic, PICU from May 2017 to May 2018. The primary outcome was the number of tracheal intubation attempts. Predictive factors for first pass success were analyzed by using univariate and multivariable logistic regression analysis. A total of 98 intubation encounters in 75 patients were analyzed. Overall first pass success rate was 67% (66/98), and 7% (7/98) of encounters required three or more attempts. A Pediatric critical care medicine (PCCM) fellow was the first laryngoscopist in 94% (92/98) of encounters with a first pass success rate of 67% (62/92). Age of patient, history of difficult airway, provider training level, previous intubation experience, urgency of intubation, and time of day were not predictive of first pass success. First pass success improved slightly with increasing fellow year (fellow year = 1, 66%; fellow year = 2, 68%; fellow year = 3, 69%) but was not statistically significant. We identified no intrinsic or extrinsic factors associated with first pass intubation success. At a time when PCCM fellow intubation experience is at risk of declining, PCCM fellows should continue to take the first attempt at most intubations in the PICU.

2016 ◽  
Vol 36 (3) ◽  
pp. 58-64 ◽  
Author(s):  
Tracy Ann Pasek ◽  
Jodi Licata

BACKGROUNDThe presence of patients’ families during resuscitation has been an important practice issue. An American Association of Critical-Care Nurses (AACN) practice alert “Family Presence During Resuscitation and Invasive Procedures” supports family members of patients undergoing resuscitation being given the option of bedside presence. Parent Advocacy Group for Events of Resuscitation (PAGER) is an interdisciplinary collaborative in the pediatric intensive care unit.OBJECTIVESTo ensure that patients’ families are provided the option of being with their child during cardiopulmonary resuscitation.METHODSResuscitation data were collected for 12 months by using the AACN practice alert audit tool. The Family Nurse Caring Belief Scale was administered to 150 pediatric intensive care unit nurses. PAGER nurses received crisis education.RESULTSPediatric intensive care unit nurses were supportive of providing the option of family presence during resuscitation. Family Nurse Caring Belief Scale data revealed areas for improvement in family caring practices. PAGER was implemented with positive outcomes for 2 families.CONCLUSIONSPAGER has improved the care of families whose children experience cardiopulmonary resuscitation and should be implemented in pediatric critical care units. PAGER nurses are prepared to serve as role models in providing family-sensitive care during crisis.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2313-2313
Author(s):  
Minh Q Tran ◽  
Steven L Shein ◽  
Hong Li ◽  
Sanjay P Ahuja

Abstract Introduction: Venous thromboembolism (VTE) in Pediatric Intensive Care Unit (PICU) patients is associated with central venous catheter (CVC) use. However, risk factors for VTE development in PICU patients with CVCs are not well established. The impact of Hospital-Acquired VTE in the PICU on clinical outcomes needs to be studied in large multicenter databases to identify subjects that may benefit from screening and/or prophylaxis. Method: With IRB approval, the Virtual Pediatric Systems, LLC database was interrogated for children < 18yo admitted between 01/2009-09/2014 who had PICU length of stay (LOS) <1 yr and a CVC present at some point during PICU care. The exact timing of VTE diagnosis was unavailable in the database, so VTE-PICU was defined as an "active" VTE that was not "present at admission". VTE-prior was defined as a VTE that was "resolved," "ongoing" or "present on admission." Variables extracted from the database included demographics, primary diagnosis category, and Pediatric Index of Mortality (PIM2) score. PICU LOS was divided into quintiles. Chi squared and Wilcoxon rank-sum were used to identify variables associated with outcomes, which were then included in multivariate models. Our primary outcome was diagnosis of VTE-PICU and our secondary outcome was PICU mortality. Children with VTE-prior were included in the mortality analyses, but not the VTE-PICU analyses. Data shown as median (IQR) and OR (95% CI). Results: Among 143,524 subjects, the median age was 2.8 (0.47-10.31) years and 55% were male. Almost half (44%) of the subjects were post-operative. The median PIM2 score was -4.11. VTE-prior was observed in 2498 patients (1.78%) and VTE-PICU in 1741 (1.2%). The incidence of VTE-PICU were 852 (1.7%) in patients ≤ 1 year old, 560 (0.9%) in patients 1-12 years old, and 303 (1.1%) in patients ≥ 13 years old (p < 0.0001). In univariate analysis, variables associated with a diagnosis of VTE-PICU were post-operative state, four LOS quintiles (3-7, 7-14, and 14-21 and >21 days) and several primary diagnosis categories: cardiovascular, gastrointestinal, infectious, neurologic, oncologic, genetic, and orthopedic. Multivariate analysis showed increased risk of VTE with cardiovascular diagnosis, infectious disease diagnosis, and LOS > 3 d (Table 1). The odds increased with increasing LOS: 7 d < LOS ≤ 14 d (5.18 [4.27-6.29]), 14 d < LOS ≤ 21 d (7.96 [6.43-9.82]), and LOS > 21 d (20.73 [17.29-24.87]). Mortality rates were 7.1% (VTE-none), 7.2% (VTE-prior), and 10.1% (VTE-PICU) (p < 0.0001). In the multivariate model, VTE-PICU (1.25 [1.05-1.49]) and VTE-prior (1.18 [1.002-1.39]) were associated with death vs. VTE-none. PIM2 score, trauma, and several primary diagnosis categories were also independently associated with death (Table 2). Conclusion: This large, multicenter database study identified several variables that are independently associated with diagnosis of VTE during PICU care of critically ill children with a CVC. Children with primary cardiovascular or infectious diseases, and those with PICU LOS >3 days may represent specific populations that may benefit from VTE screening and/or prophylaxis. Hospital-Acquired VTE in PICU was independently associated with death in our database. Additional analysis of this database, including adding specific diagnoses and secondary diagnoses, may further refine risk factors for Hospital-Acquired VTE among PICU patients with a CVC. Table 1. Multivariate analysis of Factors Associated with VTE-PICU. Factors Odds Ratio 95% Confidence Interval 3d < LOS ≤ 7d vs LOS ≤ 3d 2.19 1.78-2.69 7d < LOS ≤ 14d vs LOS ≤ 3d 5.18 4.27-6.29 14d < LOS ≤ 21d vs LOS ≤ 3d 7.95 6.44-9.82 LOS > 21d vs LOS ≤ 3d 20.73 17.29-24.87 Age 1.00 0.99-1.01 Post-operative 0.89 0.80-0.99 PIM2 Score 1.47 1.01-1.07 Primary Diagnosis: Cardiovascular 1.50 1.31-1.64 Primary Diagnosis: Infectious 1.50 1.27-1.77 Primary Diagnosis: Genetics 0.32 0.13-0.78 Table 2. Multivariate Analysis of Factors Associated with PICU Mortality. Factors Odds Ratio 95% ConfidenceInterval VTE-prior 1.18 1.00-1.39 VTE-PICU 1.25 1.05-1.49 PIM2 Score 2.08 2.05-2.11 Trauma 1.92 1.77-2.07 Post-operative 0.45 0.42-0.47 Primary Diagnosis: Genetic 2.07 1.63-2.63 Primary Diagnosis: Immunologic 2.45 1.51-3.95 Primary Diagnosis: Hematologic 1.63 1.30-2.06 Primary Diagnosis: Metabolic 0.71 0.58-0.87 Primary Diagnosis: Infectious 1.47 1.36-1.59 Primary Diagnosis: Neurologic 1.37 1.27-1.47 Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Nahom Worku Teshager ◽  
Ashenafi Tazebew Amare ◽  
koku Tamirat

Abstract Background Pediatric intensive care unit (PICU) tremendously improves the success of saving patients having potentially life-threatening illness. An accurate estimate of lives saved through pediatric critical care intervention is important to evaluate the quality of the health care system. Data on pediatric critical care in developing countries remain scarce yet is much needed to improve clinical practices and outcomes. This study aimed to determine the incidence and predictors of mortality in the pediatric intensive care unit in the study setting.Method An institution based prospective cohort study was conducted from February 2018 to July 2019. We collected data by interview, chart and registration book review. Life table was used to estimate the cumulative survival of patients and Log rank test was used to compare survival curves between different categories of the explanatory variables. Survival trend over the follow up time was described using the Kaplan Meier graph. Bivariate and multivariate Cox proportional hazard model were used to identify predictors.Result Based on the 10 th version of international classifications of disease (ICD) of WHO, neurologic disorders (22.7%) infectious disease (18.8%) and environmental hazards (11.8%) account for the top three diagnoses. The median observation time was 3 days with IQR of 1 to 6 days. Of the total of 313 participants, 102 (32.6%) died during the follow-up time. This gives the incidence of mortality of 6.9 deaths per 100 person day observation. Caregivers’ occupation of government-employed (AHR=0.35, 95%CI: 0.14, 0.89), weekend admission (AHR=1.63, 95%CI: 1.02, 2.62), critical illness (AHR=1.79, 95%CI: 1.13, 2.85) Mechanical ventilation AHR=2.36,95%CI: 1.39, 4.01)and PIM2 score (AHR=1.53, 95%CI: 1.36, 1.72) were predictors of mortality in the pediatric ICU.Conclusion Neurologic disorder was the leading causes of admission followed by infectious diseases, and environmental hazards. Rate of mortality was high and admission over weekends, caregivers' occupation, mechanical ventilation, critical illness diagnosis, and higher PIM2 scores were found to be significant and independent predictors of mortality at the PICU. This suggests that ICU medical equipment, diagnostics, and interventions should be available up to the standard. Intensivist and full staffing around the clock has to be available in the PICU.


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