Objective: To estimate the prevalence of chronic conditions among children admitted to U.S. pediatric intensive care units and to assess whether patients with complex chronic conditions experience pediatric intensive care unit mortality and prolonged length of stay risk beyond that predicted by commonly used severity-of-illness risk-adjustment models. Design, Setting, and Patients: Retrospective cohort analysis of 52,791 pediatric admissions to 54 U.S. pediatric intensive care units that participated in the Virtual Pediatric Intensive Care Unit Systems database in 2008. Measurements: Hierarchical logistic regression models, clustered by pediatric intensive care unit site, for pediatric intensive care unit mortality and length of stay >15 days. Standardized mortality ratios adjusted for severity-of-illness score alone and with complex chronic conditions. Main Results: Fifty-three percent of pediatric intensive care unit admissions had complex chronic conditions, and 18.5% had noncomplex chronic conditions. The prevalence of these conditions and their organ system subcategories varied considerably across sites. The majority of complex chronic condition subcategories were associated with significantly greater odds of pediatric intensive care unit mortality (odds ratios 1.25–2.9, all p values < .02) compared to having a noncomplex chronic condition or no chronic condition, after controlling for age, gender, trauma, and severity-of-illness. Only respiratory, gastrointestinal, and rheumatologic/orthopedic/psychiatric complex chronic conditions were not associated with increased odds of pediatric intensive care unit mortality. All subcategories were significantly associated with prolonged length of stay. All noncomplex chronic condition subcategories were either not associated or were negatively associated with pediatric intensive care unit mortality, and most were not associated with prolonged length of stay, compared to having no chronic conditions. Among this group of pediatric intensive care units, adding complex chronic conditions to risk-adjustment models led to greater model accuracy but did not substantially change unit-level standardized mortality ratios. Conclusions: Children with complex chronic conditions were at greater risk for pediatric intensive care unit mortality and prolonged length of stay than those with no chronic conditions, but the magnitude of risk varied across subcategories. Inclusion of complex chronic conditions into models of pediatric intensive care unit mortality improved model accuracy but had little impact on standardized mortality ratios.

OBJECTIVES: The objectives are to describe health outcomes and hospital resource use of children after tracheotomy and identify patient characteristics that correlate with outcomes and hospital resource use. PATIENTS AND METHODS: A retrospective analysis of 917 children aged 0 to 18 years undergoing tracheotomy from 36 children9s hospitals in 2002 with follow-up through 2007. Children were identified from ICD-9-CM tracheotomy procedure codes. Comorbid conditions (neurologic impairment [NI], chronic lung disease, upper airway anomaly, prematurity, and trauma) were identified with ICD-9-CM diagnostic codes. Patient characteristics were compared with in-hospital mortality, decannulation, and hospital resource use by using generalized estimating equations. RESULTS: Forty-eight percent of children were ≤6 months old at tracheotomy placement. Chronic lung disease (56%), NI (48%), and upper airway anomaly (47%) were the most common underlying comorbid conditions. During hospitalization for tracheotomy placement, children with an upper airway anomaly experienced less mortality (3.3% vs 11.7%; P < .001) than children without an upper airway anomaly. Five years after tracheotomy, children with NI experienced greater mortality (8.8% vs 3.5%; P ≤ .01), less decannulation (5.0% vs 11.0%; P ≤ .01), and more total number of days in the hospital (mean [SE]: 39.5 [4.0] vs 25.6 [2.6] days; P ≤ .01) than children without NI. These findings remained significant (P < .01) in multivariate analysis after controlling for other significant cofactors. CONCLUSIONS: Children with upper airway anomaly experienced less mortality, and children with NI experienced higher mortality rates and greater hospital resource use after tracheotomy. Additional research is needed to explore additional factors that may influence health outcomes in children with tracheotomy.

OBJECTIVES. The purpose of this study was to describe the population of children with chronic mechanical ventilation in Massachusetts and their patterns of medical care.PATIENTS AND METHODS. Investigators surveyed all of the Massachusetts home ventilator clinics, pediatric pulmonary services, hospital-based pediatric services for special health care needs, insurers, home care vendors, nursing agencies, the Massachusetts Department of Public Health, selected individual providers, and rehabilitation and long-term care facilities providing services to children with chronic respiratory support needs. Support was defined as daily use of noninvasive, negative-pressure, or invasive/transtracheal ventilators. Subsequent matching of demographic data, including date of birth, zip code, and gender supported maximal census yield without duplications. Geographic information systems were used to create distribution maps and estimate distances between children with chronic mechanical ventilator needs and key resources.RESULTS. A total of 197 children were identified as requiring chronic mechanical respiratory support in Massachusetts in 2005, which was a nearly threefold increase in this population in the 15-year interval since the last census. Congenital or perinatal-acquired neurologic or neuromuscular disorders constituted the majority of primary diagnoses (n = 107 [54%]). Chronic lung disease attributed to prematurity represented only 7% of the sample.CONCLUSIONS. Children receiving chronic mechanical respiratory support are a growing population. The shift in underlying diagnoses from pulmonary disease to neurogenic respiratory insufficiency has implications for hospital and community-based providers from all disciplines in extending services to the home setting. Barriers encountered when performing this study, however, reflect an overall lack of coordination among the many individuals and agencies involved in their care. Coordinated and centralized care efforts require a clear and managed flow of information; census reports such as this one are only the beginning. Direct needs assessments and quality-of-life surveys from families are needed to design and implement programmatic changes and advocacy efforts.

Objectives To identify children at risk for in-hospital mortality following tracheotomy. Design Retrospective cohort study. Setting 25 746 876 US hospitalisations for children within the Kids' Inpatient Database 1997, 2000, 2003 and 2006. Participants 18 806 hospitalisations of children ages 0–18 years undergoing tracheotomy, identified from ICD-9-CM tracheotomy procedure codes. Main outcome measure Mortality during the initial hospitalisation when tracheotomy was performed in relation to patient demographic and clinical characteristics (neuromuscular impairment (NI), chronic lung disease, upper airway anomaly, prematurity, congenital heart disease, upper airway infection and trauma) identified with ICD-9-CM codes. Results Between 1997 and 2006, mortality following tracheotomy ranged from 7.7% to 8.5%. In each year, higher mortality was observed in children undergoing tracheotomy who were aged <1 year compared with children aged 1–4 years (mortality range: 10.2–13.1% vs 1.1–4.2%); in children with congenital heart disease, compared with children without congenital heart disease (13.1–18.7% vs 6.2–7.1%) and in children with prematurity, compared with children who were not premature (13.0–19.4% vs 6.8–7.3%). Lower mortality was observed in children with an upper airway anomaly compared with children without an upper airway anomaly (1.5–5.1% vs 9.1–10.3%). In 2006, the highest mortality (40.0%) was observed in premature children with NI and congenital heart disease, who did not have an upper airway anomaly. Conclusions Congenital heart disease, prematurity, the absence of an upper airway anomaly and age <1 year were characteristics associated with higher mortality in children following tracheotomy. These findings may assist provider communication with children and families regarding early prognosis following tracheotomy.