Factors Associated With Pediatric Ventilator-Associated Conditions in Six U.S. Hospitals: A Nested Case-Control Study.

OBJECTIVES: A newly proposed surveillance definition for ventilator-associated conditions among neonatal and pediatric patients has been associated with increased morbidity and mortality among ventilated patients in cardiac ICU, neonatal ICU, and PICU. This study aimed to identify potential risk factors associated with pediatric ventilator-associated conditions. DESIGN: Retrospective cohort. SETTING: Six U.S. hospitals PATIENTS:: Children less than or equal to 18 years old ventilated for greater than or equal to 1 day. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified children with pediatric ventilator-associated conditions and matched them to children without ventilator-associated conditions. Medical records were reviewed for comorbidities and acute care factors. We used bivariate and multivariate conditional logistic regression models to identify factors associated with ventilator-associated conditions. We studied 192 pairs of ventilator-associated conditions cases and matched controls (113 in the PICU and cardiac ICU combined; 79 in the neonatal ICU). In the PICU/cardiac ICU, potential risk factors for ventilator-associated conditions included neuromuscular blockade (odds ratio, 2.29; 95% CI, 1.08-4.87), positive fluid balance (highest quartile compared with the lowest, odds ratio, 7.76; 95% CI, 2.10-28.6), and blood product use (odds ratio, 1.52; 95% CI, 0.70-3.28). Weaning from sedation (i.e., decreasing sedation) or interruption of sedation may be protective (odds ratio, 0.44; 95% CI, 0.18-1.11). In the neonatal ICU, potential risk factors included blood product use (odds ratio, 2.99; 95% CI, 1.02-8.78), neuromuscular blockade use (odds ratio, 3.96; 95% CI, 0.93-16.9), and recent surgical procedures (odds ratio, 2.19; 95% CI, 0.77-6.28). Weaning or interrupting sedation was protective (odds ratio, 0.07; 95% CI, 0.01-0.79). CONCLUSIONS: In mechanically ventilated neonates and children, we identified several possible risk factors associated with ventilator-associated conditions. Next steps include studying propensity-matched cohorts and prospectively testing whether changes in sedation management, transfusion thresholds, and fluid management can decrease pediatric ventilator-associated conditions rates and improve patient outcomes.

Ventilator-Associated Events in Neonates and Children--A New Paradigm.

OBJECTIVES: To identify a pediatric ventilator-associated condition definition for use in neonates and children by exploring whether potential ventilator-associated condition definitions identify patients with worse outcomes. DESIGN: Retrospective cohort study and a matched cohort analysis. SETTING: Pediatric, cardiac, and neonatal ICUs in five U.S. hospitals. PATIENTS: Children 18 years old or younger ventilated for at least 1 day. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We evaluated the evidence of worsening oxygenation via a range of thresholds for increases in daily minimum fraction of inspired oxygen (by 0.20, 0.25, and 0.30) and daily minimum mean airway pressure (by 4, 5, 6, and 7 cm H2O). We required worsening oxygenation be sustained for at least 2 days after at least 2 days of stability. We matched patients with a ventilator-associated condition to those without and used Cox proportional hazard models with frailties to examine associations with hospital mortality, hospital and ICU length of stay, and duration of ventilation. The cohort included 8,862 children with 10,209 hospitalizations and 77,751 ventilator days. For the fraction of inspired oxygen 0.25/mean airway pressure 4 definition (i.e., increase in minimum daily fraction of inspired oxygen by 0.25 or mean airway pressure by 4), rates ranged from 2.9 to 3.2 per 1,000 ventilator days depending on ICU type; the fraction of inspired oxygen 0.30/mean airway pressure 7 definition yielded ventilator-associated condition rates of 1.1-1.3 per 1,000 ventilator days. All definitions were significantly associated with greater risk of hospital death, with hazard ratios ranging from 1.6 (95% CI, 0.7-3.4) to 6.8 (2.9-16.0), depending on thresholds and ICU type. Each definition was associated with prolonged hospitalization, time in ICU, and duration of ventilation, among survivors. The advisory board of the study proposed using the fraction of inspired oxygen 0.25/mean airway pressure 4 thresholds to identify pediatric ventilator-associated conditions in ICUs. CONCLUSIONS: Pediatric patients with ventilator-associated conditions are at substantially higher risk for mortality and morbidity across ICUs, regardless of thresholds used. Next steps include identification of risk factors, etiologies, and preventative measures for pediatric ventilator-associated conditions.

Antibiotic stewardship in NICU: De-implementing routine CRP to reduce antibiotic usage in neonates at risk for early-onset sepsis.

OBJECTIVE: Antibiotic overuse is common in the neonatal intensive care units (NICUs). We evaluated the change in antibiotic utilization rate (AUR) by eliminating routine CRP in the management of early-onset sepsis (EOS). METHODS: Retrospective before-after cohort study in a Level 3B NICU. We made the following practice changes in the management of EOS: (1) stop routine CRP and (2) implement an automatic stop order (ASO) for antibiotics at 48 h. We compared the AUR, defined as any antibiotic use per 1000 patient days before and after practice change. RESULT: There was an absolute reduction of 30% in AUR and a decrease in the proportion of neonates receiving antibiotics from the day of life 3-6 in postintervention period. We did not identify any case of partially treated EOS with change in practice. CONCLUSION: Elimination of routine CRP and ASO implementation for antibiotics in neonates at risk for EOS decreased AUR.

Variability in antimicrobial use in pediatric ventilator-associated events.

OBJECTIVE: To assess variability in antimicrobial use and associations with infection testing in pediatric ventilator-associated events (VAEs). DESIGN: Descriptive retrospective cohort with nested case-control study. SETTING: Pediatric intensive care units (PICUs), cardiac intensive care units (CICUs), and neonatal intensive care units (NICUs) in 6 US hospitals.PatientsChildren≤18 years ventilated for≥1 calendar day. METHODS: We identified patients with pediatric ventilator-associated conditions (VACs), pediatric VACs with antimicrobial use for≥4 days (AVACs), and possible ventilator-associated pneumonia (PVAP, defined as pediatric AVAC with a positive respiratory diagnostic test) according to previously proposed criteria. RESULTS: Among 9,025 ventilated children, we identified 192 VAC cases, 43 in CICUs, 70 in PICUs, and 79 in NICUs. AVAC criteria were met in 79 VAC cases (41%) (58% CICU; 51% PICU; and 23% NICU), and varied by hospital (CICU, 20-67%; PICU, 0-70%; and NICU, 0-43%). Type and duration of AVAC antimicrobials varied by ICU type. AVAC cases in CICUs and PICUs received broad-spectrum antimicrobials more often than those in NICUs. Among AVAC cases, 39% had respiratory infection diagnostic testing performed; PVAP was identified in 15 VAC cases. Also, among AVAC cases, 73% had no associated positive respiratory or nonrespiratory diagnostic test. CONCLUSIONS: Antimicrobial use is common in pediatric VAC, with variability in spectrum and duration of antimicrobials within hospitals and across ICU types, while PVAP is uncommon. Prolonged antimicrobial use despite low rates of PVAP or positive laboratory testing for infection suggests that AVAC may provide a lever for antimicrobial stewardship programs to improve utilization.

A Pediatric Approach to Ventilator-Associated Events Surveillance.

OBJECTIVE Adult ventilator-associated event (VAE) definitions include ventilator-associated conditions (VAC) and subcategories for infection-related ventilator-associated complications (IVAC) and possible ventilator-associated pneumonia (PVAP). We explored these definitions for children. DESIGN Retrospective cohort SETTING Pediatric, cardiac, or neonatal intensive care units (ICUs) in 6 US hospitals PATIENTS Patients ≤18 years old ventilated for ≥1 day METHODS We identified patients with pediatric VAC based on previously proposed criteria. We applied adult temperature, white blood cell count, antibiotic, and culture criteria for IVAC and PVAP to these patients. We matched pediatric VAC patients with controls and evaluated associations with adverse outcomes using Cox proportional hazards models. RESULTS In total, 233 pediatric VACs (12,167 ventilation episodes) were identified. In the cardiac ICU (CICU), 62.5% of VACs met adult IVAC criteria; in the pediatric ICU (PICU), 54.2% of VACs met adult IVAC criteria; and in the neonatal ICU (NICU), 20.2% of VACs met adult IVAC criteria. Most patients had abnormal white blood cell counts and temperatures; we therefore recommend simplifying surveillance by focusing on "pediatric VAC with antimicrobial use" (pediatric AVAC). Pediatric AVAC with a positive respiratory diagnostic test ("pediatric PVAP") occurred in 8.9% of VACs in the CICU, 13.3% of VACs in the PICU, and 4.3% of VACs in the NICU. Hospital mortality was increased, and hospital and ICU length of stay and duration of ventilation were prolonged among all pediatric VAE subsets compared with controls. CONCLUSIONS We propose pediatric AVAC for surveillance related to antimicrobial use, with pediatric PVAP as a subset of AVAC. Studies on generalizability and responsiveness of these metrics to quality improvement initiatives are needed, as are studies to determine whether lower pediatric VAE rates are associated with improvements in other outcomes. Infect Control Hosp Epidemiol 2017;38:327-333.

Spread of methicillin-resistant Staphylococcus aureus in a large tertiary NICU: network analysis.

OBJECTIVE: Methicillin-resistant Staphylococcus aureus (MRSA) colonization in NICUs increases the risk of nosocomial infection. Network analysis provides tools to examine the interactions among patients and staff members that put patients at risk of colonization. METHODS: Data from MRSA surveillance cultures were combined with patient room locations, nursing assignments, and sibship information to create patient- and unit-based networks. Multivariate models were constructed to quantify the risk of incident MRSA colonization as a function of exposure to MRSA-colonized infants in these networks. RESULTS: A MRSA-negative infant in the NICU simultaneously with a MRSA-positive infant had higher odds of becoming colonized when the colonized infant was a sibling, compared with an unrelated patient (odds ratio: 8.8 [95% confidence interval [CI]: 5.3-14.8]). Although knowing that a patient was MRSA-positive and was placed on contact precautions reduced the overall odds of another patient becoming colonized by 35% (95% CI: 20%-47%), having a nurse in common with that patient still increased the odds of colonization by 43% (95% CI: 14%-80%). Normalized group degree centrality, a unitwide network measure of connectedness between colonized and uncolonized patients, was a significant predictor of incident MRSA cases (odds ratio: 18.1 [95% CI: 3.6-90.0]). CONCLUSIONS: Despite current infection-control strategies, patients remain at significant risk of MRSA colonization from MRSA-positive siblings and from other patients with whom they share nursing care. Strategies that minimize the frequency of staff members caring for both colonized and uncolonized infants may be beneficial in reducing the spread of MRSA colonization.

Using Digital Crumbs from an Electronic Health Record to identify, study and improve health care teams.

We have developed a novel approach, the Digital Crumb Investigator, for using data collected as a byproduct of Electonic Health Record (EHR) use to help define care teams and care processes. We are developing tools and methods to utilize these routinely collected data to visualize and quantify care networks across acute care and ambulatory settings We have chosen a clinical care domain where clinicians use EHRs in their offices, on the maternity wards and in the neonatal intensive care units as a test paradigm for this technology. The tools and methods we deliver should readily translate to other health care settings that collect behind-the-scenes electronic metadata such as audit trails. We believe that by applying the methods of social networking to define clinical relationships around a patient's care we will enable new areas of research into the usage of EHRs to promote patient safety and other improvements in care.

Network analysis of team structure in the neonatal intensive care unit.

OBJECTIVE: The goal was to examine nursing team structure and its relationship with family satisfaction. METHODS: We used electronic health records to create patient-based, 1-mode networks of nursing handoffs. In these networks, nurses were represented as nodes and handoffs as edges. For each patient, we calculated network statistics including team size and diameter, network centrality index, proportion of newcomers to care teams according to day of hospitalization, and a novel measure of the average number of shifts between repeat caregivers, which was meant to quantify nursing continuity. We assessed parental satisfaction by using a standardized survey. RESULTS: Team size increased with increasing length of stay. At 2 weeks of age, 50% of shifts were staffed by a newcomer nurse who had not previously cared for the index patient. The patterns of newcomers to teams did not differ according to birth weight. When the population was dichotomized according to median mean repeat caregiver interval value, increased reports of problems with nursing care were seen with less-consistent staffing by familiar nurses. This relationship persisted after controlling for factors including birth weight, length of stay, and team size. CONCLUSIONS: Family perceptions of nursing care quality are more strongly associated with team structure and the sequence of nursing participation than with team size. Objective measures of health care team structure and function can be examined by applying network analytic techniques to information contained in electronic health records.

Cost-effectiveness of early treatment for retinopathy of prematurity.

BACKGROUND: The Early Treatment for Retinopathy of Prematurity trial demonstrated that peripheral retinal ablation of eyes with high-risk prethreshold retinopathy of prematurity (early treatment) is associated with improved visual outcomes at 9 months' corrected gestational age compared with treatment at threshold disease (conventional management). However, early treatment increased the frequency of laser therapy, anesthesia with intubation, treatment-related systemic complications, and the need for repeat treatments. OBJECTIVE: To determine the cost-effectiveness of an early treatment strategy for retinopathy of prematurity compared with conventional management. DESIGN/METHODS: We developed a stochastic decision analytic model to assess the incremental cost of early treatment per eye with severe visual impairment prevented. We derived resource-use and efficacy estimates from the Early Treatment for Retinopathy of Prematurity trial's published outcome data. We used a third-party payer perspective. Our primary analysis focused on outcomes from birth through 9 months' corrected gestational age. A secondary analysis used a lifetime horizon. Parameter uncertainty was quantified by using probabilistic and deterministic sensitivity analyses. RESULTS: The incremental cost-effectiveness of early treatment was $14,200 per eye with severe visual impairment prevented. There was a 90% probability that the cost-effectiveness of early treatment would be less than $40,000 per eye with severe visual impairment prevented and a 0.5% probability that early treatment would be cost-saving (less costly and more effective). Limiting early treatment to more severely affected eyes (eyes with "type 1 retinopathy of prematurity" as defined by the Early Treatment for Retinopathy of Prematurity trial) had a cost-effectiveness of $6,200 per eye with severe visual impairment prevented. Analyses that considered long-term costs and outcomes found that early treatment was cost-saving. CONCLUSIONS: Early treatment of retinopathy of prematurity is both efficacious and economically desirable. Because of the high lifetime costs of severe visual impairment, the early treatment strategy provides long-term cost savings.

Patient misidentification in the neonatal intensive care unit: quantification of risk.

OBJECTIVE: To quantify the potential for misidentification among NICU patients resulting from similarities in patient names or hospital medical record numbers (MRNs). METHODS: A listing of all patients who received care in 1 NICU during 1 calendar year was obtained from the unit's electronic medical record system. A patient day was considered at risk for misidentification when the index patient shared a surname, similar-sounding surname, or similar MRN with another patient who was cared for in the NICU on that day. RESULTS: During the 1-year study period, 12186 days of patient care were provided to 1260 patients. The unit's average daily census was 33.4; the maximum census was 48. Not a single day was free of risk for patient misidentification. The mean number of patients who were at risk on any given day was 17 (range: 5-35), representing just over 50% of the average daily census. During the entire calendar year, the risk ranged from 20.6% to a high of 72.9% of the average daily census. The most common causes of misidentification risk were similar-appearing MRNs (44% of patient days). Identical surnames were present in 34% of patient days, and similar-sounding names were present in 9.7% of days. Twins and triplets contributed one third of patient days in the NICU. After these multiple births were excluded from analysis, 26.3% of patient days remained at risk for misidentification. Among singletons, the contribution to misidentification risk of similar-sounding surnames was relatively unchanged (9.1% of patient days), whereas that of similar MRNs and identical surnames decreased (17.6% and 1.0%, respectively). CONCLUSIONS: NICU patients are frequently at risk for misidentification errors as a result of similarities in standard identifiers. This risk persists even after exclusion of multiple births and is substantially higher than has been reported in other hospitalized populations.

Adverse events in the neonatal intensive care unit: development, testing, and findings of an NICU-focused trigger tool to identify harm in North American NICUs.

OBJECTIVES: Currently there are few practical methods to identify and measure harm to hospitalized children. Patients in NICUs are at high risk and warrant a detailed assessment of harm to guide patient safety efforts. The purpose of this work was to develop a NICU-focused tool for adverse event detection and to describe the incidence of adverse events in NICUs identified by this tool. METHODS: A NICU-focused trigger tool for adverse event detection was developed and tested. Fifty patients from each site with a minimum 2-day NICU stay were randomly selected. All adverse events identified using the trigger tool were evaluated for severity, preventability, ability to mitigate, ability to identify the event earlier, and presence of associated occurrence report. Each trigger, and the entire tool, was evaluated for positive predictive value. Study chart reviewers, in aggregate, identified 88.0% of all potential triggers and 92.4% of all potential adverse events. RESULTS: Review of 749 randomly selected charts from 15 NICUs revealed 2218 triggers or 2.96 per patient, and 554 unique adverse events or 0.74 per patient. The positive predictive value of the trigger tool was 0.38. Adverse event rates were higher for patients <28 weeks' gestation and <1500 g birth weight. Fifty-six percent of all adverse events were deemed preventable; 16% could have been identified earlier, and 6% could have been mitigated more effectively. Only 8% of adverse events were identified in existing hospital-based occurrence reports. The most common adverse events identified were nosocomial infections, catheter infiltrates, and abnormal cranial imaging. CONCLUSIONS: Adverse event rates in the NICU setting are substantially higher than previously described. Many adverse events resulted in permanent harm and the majority were classified as preventable. Only 8% were identified using traditional voluntary reporting methods. Our NICU-focused trigger tool appears efficient and effective at identifying adverse events.