Delirium and Benzodiazepines Associated With Prolonged ICU Stay in Critically Ill Infants and Young Children.

OBJECTIVES: Delirium is prevalent among critically ill children, yet associated outcomes and modifiable risk factors are not well defined. The objective of this study was to determine associations between pediatric delirium and modifiable risk factors such as benzodiazepine exposure and short-term outcomes. DESIGN: Secondary analysis of collected data from the prospective validation study of the Preschool Confusion Assessment Method for the ICU. SETTING: Tertiary-level PICU. PATIENTS: Critically ill patients 6 months to 5 years old. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Daily delirium assessments were completed using the Preschool Confusion Assessment Method for the ICU. Associations between baseline and in-hospital risk factors were analyzed for likelihood of ICU discharge using Cox proportional hazards regression and delirium duration using negative binomial regression. Multinomial logistic regression was used to determine associations between daily risk factors and delirium presence the following day. Our 300-patient cohort had a median (interquartile range) age of 20 months (11-37 mo), and 44% had delirium for at least 1 day (1-2 d). Delirium was significantly associated with a decreased likelihood of ICU discharge in preschool-aged children (age-specific hazard ratios at 60, 36, and 12 mo old were 0.17 [95% CI, 0.05-0.61], 0.50 [0.32-0.80], and 0.98 [0.68-1.41], respectively). Greater benzodiazepine exposure (75-25th percentile) was significantly associated with a lower likelihood of ICU discharge (hazard ratio, 0.65 [0.42-1.00]; p = 0.01), longer delirium duration (incidence rate ratio, 2.47 [1.36-4.49]; p = 0.005), and increased risk for delirium the following day (odds ratio, 2.83 [1.27-6.59]; p = 0.02). CONCLUSIONS: Delirium is associated with a lower likelihood of ICU discharge in preschool-aged children. Benzodiazepine exposure is associated with the development and longer duration of delirium, and lower likelihood of ICU discharge. These findings advocate for future studies targeting modifiable risk factors, such as reduction in benzodiazepine exposure, to mitigate iatrogenic harm in pediatric patients.

The Preschool Confusion Assessment Method for the ICU: Valid and Reliable Delirium Monitoring for Critically Ill Infants and Children.

OBJECTIVES: Delirium assessments in critically ill infants and young children pose unique challenges due to evolution of cognitive and language skills. The objectives of this study were to determine the validity and reliability of a fundamentally objective and developmentally appropriate delirium assessment tool for critically ill infants and preschool-aged children and to determine delirium prevalence. DESIGN AND SETTING: Prospective, observational cohort validation study of the PreSchool Confusion Assessment Method for the ICU in a tertiary medical center PICU. PATIENTS: Participants aged 6 months to 5 years and admitted to the PICU regardless of admission diagnosis were enrolled. MEASUREMENTS AND MAIN RESULTS: An interdisciplinary team created the PreSchool Confusion Assessment Method for the ICU for pediatric delirium monitoring. To assess validity, patients were independently assessed for delirium daily by the research team using the PreSchool Confusion Assessment Method for the ICU and by a child psychiatrist using the Diagnostic and Statistical Manual of Mental Disorders criteria. Reliability was assessed using blinded, concurrent PreSchool Confusion Assessment Method for the ICU evaluations by research staff. A total of 530-paired delirium assessments were completed among 300 patients, with a median age of 20 months (interquartile range, 11-37) and 43% requiring mechanical ventilation. The PreSchool Confusion Assessment Method for the ICU demonstrated a specificity of 91% (95% CI, 90-93), sensitivity of 75% (95% CI, 72-78), negative predictive value of 86% (95% CI, 84-88), positive predictive value of 84% (95% CI, 81-87), and a reliability κ-statistic of 0.79 (0.76-0.83). Delirium prevalence was 44% using the PreSchool Confusion Assessment Method for the ICU and 47% by the reference rater. The rates of delirium were 53% versus 56% in patients younger than 2 years old and 33% versus 35% in patients 2-5 years old using the PreSchool Confusion Assessment Method for the ICU and reference rater, respectively. The short-form PreSchool Confusion Assessment Method for the ICU maintained a high specificity (87%) and sensitivity (78%) in post hoc analysis. CONCLUSIONS: The PreSchool Confusion Assessment Method for the ICU is a highly valid and reliable delirium instrument for critically ill infants and preschool-aged children, in whom delirium is extremely prevalent.

Night-time lighting alters the composition of marine epifaunal communities.

Marine benthic communities face multiple anthropogenic pressures that compromise the future of some of the most biodiverse and functionally important ecosystems in the world. Yet one of the pressures these ecosystems face, night-time lighting, remains unstudied. Light is an important cue in guiding the settlement of invertebrate larvae, and altering natural regimes of nocturnal illumination could modify patterns of recruitment among sessile epifauna. We present the first evidence of night-time lighting changing the composition of temperate epifaunal marine invertebrate communities. Illuminating settlement surfaces with white light-emitting diode lighting at night, to levels experienced by these communities locally, both inhibited and encouraged the colonization of 39% of the taxa analysed, including three sessile and two mobile species. Our results indicate that ecological light pollution from coastal development, shipping and offshore infrastructure could be changing the composition of marine epifaunal communities.

Medicaid medical directors quality improvement studies: a case study of evolving methods for a research network.

OBJECTIVE: To describe the evolution of methods and share lessons learned from conducting multi-state studies with Medicaid Medical Directors (MMD) using state administrative data. There was a great need for these studies, but also much to be learned about conducting network-based research and ensuring comparability of results. METHODS: This was a network-level case study. The findings were drawn from the experience developing and executing network analyses with the MMDs, as well as from participant feedback on lessons learned. For the latter, nine interviews with MMD project leads, state data analysts, and outside researchers involved with the projects were conducted. Interviews were transcribed, coded and analyzed using NVivo 10.0 analytic software. FINDINGS: MMD study methodology involved many steps: developing research questions, defining data specifications, organizing an aggregated data collection spreadsheet form, assuring quality through review, and analyzing and reporting state data at the national level. State analysts extracted the data from their state Medicaid administrative (claims) databases (and sometimes other datasets). Analysis at the national level aggregated state data overall, by demographics and other sub groups, and displayed descriptive statistics and cross-tabs. CONCLUSIONS: Projects in the MMD multi-state network address high-priority clinical issues in Medicaid and impact quality of care through sharing of data and policies among states. Further, these studies contribute not only to high-quality, cost-effective health care for Medicaid beneficiaries, but also add to our knowledge of network-based research. Continuation of these studies requires funding for a permanent research infrastructure nationally, as well as at the state-level to strengthen capacity.

Importance of the medicaid medical directors' multistate collaborative for improving care in medicaid.

INTRODUCTION: There are many benefits of multistate collaboratives or networks to states, but at the center is that they allow for the opportunity to learn from other states and experts about the practices and policies states have implemented without the significant time lag of published research. This commentary examines these benefits and illustrates the importance of quality improvement collaborations to decision-making in state Medicaid programs. BACKGROUND: In 2007, the Medicaid Medical Directors Learning Network (MMDLN) began conducting quality improvement studies using their own state-level administrative data to better understand the major clinical issues facing the Medicaid populations and to work together on policies to improve outcomes. RATIONALE AND RESULTS: The three issues selected by MMDs for quality improvement monitoring to date involved an important national problem - including both morbidity and cost - and were amenable to policy solutions. The studies examined the use of antipsychotic medication in children, hospital admissions and readmissions, and early elective deliveries (i.e., elective deliveries occurring before 39 weeks). IMPORTANCE AND UTILITY: The multistate clinical quality projects conducted offer a key mechanism for achieving the goal of helping the Medicaid program deliver value-driven, high-quality, cost-effective health care in an efficient manner. These projects also provide the participating states with data to inform policies internally. CONCLUSIONS: In order for the quality of health care to improve, the system needs to be structured as a learning health care system; one that is always accessing evidence, implementing a variation of it (i.e., with new data sources or tools such as electronic clinical data), assessing effectiveness, and sharing results for others to repeat the cycle.

Medicaid admissions and readmissions: understanding the prevalence, payment, and most common diagnoses.

Reducing hospital readmissions is a way to improve care and reduce avoidable costs. However, there have been few studies of readmissions in the Medicaid population. We sought to characterize acute care hospital admissions and thirty-day readmissions in the Medicaid population through a retrospective analysis in nineteen states. We found that Medicaid readmissions were both prevalent (9.4 percent of all admissions) and costly ($77 million per state) and that they represented 12.5 percent of Medicaid payments for all hospitalizations. Five diagnostic groups appeared to drive Medicaid readmissions, accounting for 57 percent of readmissions and 49 percent of hospital payments for readmissions. The most prevalent diagnostic categories were mental and behavioral disorders and diagnoses related to pregnancy, childbirth, and their complications, which together accounted for 31.2 percent of readmissions. This analysis, conducted through the Medicaid Medical Directors Learning Network, allows Medicaid medical directors to better understand the nature and prevalence of hospital use in the Medicaid population and provides a baseline for measuring improvement.

Early elective deliveries accounted for nearly 9 percent of births paid for by Medicaid.

Reducing early elective deliveries has become a priority for Medicaid medical directors and their state partners. Such deliveries lead to poor health outcomes for newborns and their mothers and generate additional costs for patients, providers, and Medicaid, which pays for up to 48 percent of all births in the United States each year. Early elective deliveries are non-medically indicated labor inductions or cesarean deliveries of infants with a confirmed gestational age of less than thirty-nine weeks. This retrospective descriptive study reports the results of a perinatal project, led by the state Medicaid medical directors, that sought to coordinate quality improvement efforts related to early elective deliveries for the Medicaid population. Twenty-two states participated in the project and provided data on elective deliveries in the period 2010-12. We found that 75,131 (8.9 percent) of 839,688 Medicaid singleton births were early elective deliveries. Thus, we estimate that there are 160,000 early elective Medicaid deliveries nationwide each year. In twelve states, early-term elective deliveries declined 32 percent between 2007 and 2011. Our study offers additional evidence and new tools for policy makers pursuing strategies to further reduce the number of such deliveries.