scholarly journals Characteristics and Outcomes of Long-Stay Patients in the Pediatric Intensive Care Unit

2017 ◽  
Vol 07 (01) ◽  
pp. 001-006 ◽  
Author(s):  
Qian Sng ◽  
Lu Zhang ◽  
Judith Ming Wong ◽  
Janil Puthucheary ◽  
Jan Lee ◽  
...  

AbstractLong-stay patients in the PICU have a higher risk of mortality as compared with non–long-stay patients. We aim to describe mortality and characteristics of long-stay patients and to determine the risk factors for mortality in these children. Total 241 (4.8%) long-stay admissions were identified. Mortality of long-stayers was 48/241 (20%). Higher severity-of-illness score at admission, need for organ support therapies, number of nosocomial infections, and bloodstream nosocomial infection were associated with a higher mortality in long-stay patients in the PICU. Based on multivariate analysis, oncologic diagnosis as a preexisting comorbidity is a strong independent predictor of mortality for long-stay patients.

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.


2007 ◽  
Vol 28 (3) ◽  
pp. 299-306 ◽  
Author(s):  
Elizabeth E. Foglia ◽  
Victoria J. Fraser ◽  
Alexis M. Elward

Objective.To determine the prevalence, risk factors, and outcomes of nosocomial infection due to antimicrobial resistant bacteria in patients treated in the pediatric intensive care unit (PICU).Design.Nested case-cohort study. Patient data were collected prospectively, and antimicrobial susceptibility data were abstracted retrospectively.Setting.A large pediatric teaching hospital.Patients.All PICU patients admitted from September 1, 1999, to September 1, 2001, unless they died within 24 hours after PICU admission, were 18 years old or older, or were neonatal intensive care unit patients receiving extracorporeal membrane oxygenation.Results.A total of 135 patients with more than 1 nosocomial bacterial infection were analyzed; 52% were male, 75% were white, the mean Pediatric Risk of Mortality score was 10.5, and the mean age was 3.5 years. Of these patients, 37 (27%) had nosocomial infections due to antibiotic-resistant organisms. In univariate analysis, transplantation (odds ratio [OR], 2.83 [95% confidence interval (CI), 1.05-7.66]) and preexisting lung disease (OR, 2.63 [95% CI, 1.18-5.88]) were associated with nosocomial infections due to antibiotic-resistant organisms. Age, Pediatric Risk of Mortality score at admission, length of hospital stay before infection, and other underlying conditions were not associated with infections due to antibiotic-resistant organisms. Patients infected with antibiotic-resistant organisms had greater mean PICU lengths of stay after infection, compared with patients infected with antibiotic-susceptible organisms (22.9 vs 12.8 days;P= .004), and higher crude mortality rates (OR, 2.40 [95% CI, 1.03-5.61]).Conclusions.Identifiable risk factors exist for nosocomial infections due to antibiotic-resistant organisms. In univariate analysis, infections due to antibiotic-resistant bacteria are associated with increased length of stay in the PICU after onset of infection and increased mortality.


2008 ◽  
Vol 18 (S2) ◽  
pp. 130-136 ◽  
Author(s):  
Joan M. LaRovere ◽  
Howard E. Jeffries ◽  
Ramesh C. Sachdeva ◽  
Thomas B. Rice ◽  
Randall C. Wetzel ◽  
...  

AbstractThe development of databases to track the outcomes of children with cardiovascular disease has been ongoing for much of the last two decades, paralleled by the rise of databases in the intensive care unit. While the breadth of data available in national, regional and local databases has grown exponentially, the ability to identify meaningful measurements of outcomes for patients with cardiovascular disease is still in its early stages.In the United States of America, the Virtual Pediatric Intensive Care Unit Performance System (VPS) is a clinically based database system for the paediatric intensive care unit that provides standardized high quality, comparative data to its participants [https://portal.myvps.org/]. All participants collect information on multiple parameters: (1) patients and their stay in the hospital, (2) diagnoses, (3) interventions, (4) discharge, (5) various measures of outcome, (6) organ donation, and (7) paediatric severity of illness scores. Because of the standards of quality within the database, through customizable interfaces, the database can also be used for several applications: (1) administrative purposes, such as assessing the utilization of resources and strategic planning, (2) multi-institutional research studies, and (3) additional internal projects of quality improvement or research.In the United Kingdom, The Paediatric Intensive Care Audit Network is a database established in 2002 to record details of the treatment of all critically ill children in paediatric intensive care units of the National Health Service in England, Wales and Scotland. The Paediatric Intensive Care Audit Network was designed to develop and maintain a secure and confidential high quality clinical database of pediatric intensive care activity in order to meet the following objectives: (1) identify best clinical practice, (2) monitor supply and demand, (3) monitor and review outcomes of treatment episodes, (4) facilitate strategic healthcare planning, (5) quantify resource requirements, and (6) study the epidemiology of critical illness in children.Two distinct physiologic risk adjustment methodologies are the Pediatric Risk of Mortality Scoring System (PRISM), and the Paediatric Index of Mortality Scoring System 2 (PIM 2). Both Pediatric Risk of Mortality (PRISM 2) and Pediatric Risk of Mortality (PRISM 3) are comprised of clinical variables that include physiological and laboratory measurements that are weighted on a logistic scale. The raw Pediatric Risk of Mortality (PRISM) score provides quantitative measures of severity of illness. The Pediatric Risk of Mortality (PRISM) score when used in a logistic regression model provides a probability of the predicted risk of mortality. This predicted risk of mortality can then be used along with the rates of observed mortality to provide a quantitative measurement of the Standardized Mortality Ratio (SMR). Similar to the Pediatric Risk of Mortality (PRISM) scoring system, the Paediatric Index of Mortality (PIM) score is comprised of physiological and laboratory values and provides a quantitative measurement to estimate the probability of death using a logistic regression model.The primary use of national and international databases of patients with congenital cardiac disease should be to improve the quality of care for these patients. The utilization of common nomenclature and datasets by the various regional subspecialty databases will facilitate the eventual linking of these databases and the creation of a comprehensive database that spans conventional geographic and subspecialty boundaries.


1992 ◽  
Vol 1 (3) ◽  
pp. 80-84 ◽  
Author(s):  
JM Youngblut ◽  
SY Shiao

OBJECTIVE: To explore the relationships between parents' reactions to the pediatric intensive care unit admission of a child and characteristics of the child's illness. METHOD: A convenience sample, consisting of 16 mothers and 13 fathers of 16 children aged 5 years and younger, was used. The Pediatric Risk of Mortality scale was used to measure severity of illness. Parental reactions were measured at about 24 hours after the child's admission with the Parental Stressor Scale: PICU and the Parental Concerns Scale. RESULTS: Mothers' concerns and stressors were not related to the child's Pediatric Risk of Mortality score. However, fathers reported greater concern about the child's experience and about parenting as the child's Pediatric Risk of Mortality score increased. CONCLUSIONS: Parents' reactions to their child's critical illness and admission to the pediatric intensive care unit were not related to characteristics of the child's condition in this small sample. Future research needs are suggested.


2016 ◽  
Vol 44 (12) ◽  
pp. 269-269
Author(s):  
Kristie Rodriguez-Otero ◽  
Anabel Puig-Ramos ◽  
Carlos Lopez-Ortiz ◽  
Samuel Pabon-Rivera ◽  
Gabriel De Jesus-Astacio ◽  
...  

Children ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 1035
Author(s):  
Rachel K. Marlow ◽  
Sydney Brouillette ◽  
Vannessa Williams ◽  
Ariann Lenihan ◽  
Nichole Nemec ◽  
...  

The American Academy of Pediatrics (AAP) recommends supportive care for the management of bronchiolitis. However, patients admitted to the intensive care unit with severe (critical) bronchiolitis define a unique group with varying needs for both non-invasive and invasive respiratory support. Currently, no guidance exists to help clinicians discern who will progress to invasive mechanical support. Here, we sought to identify key clinical features that distinguish pediatric patients with critical bronchiolitis requiring invasive mechanical ventilation from those that did not. We conducted a retrospective cohort study at a tertiary pediatric medical center. Children ≤2 years old admitted to the pediatric intensive care unit (PICU) from January 2015 to December 2019 with acute bronchiolitis were studied. Patients were divided into non-invasive respiratory support (NRS) and invasive mechanical ventilation (IMV) groups; the IMV group was further subdivided depending on timing of intubation relative to PICU admission. Of the 573 qualifying patients, 133 (23%) required invasive mechanical ventilation. Median age and weight were lower in the IMV group, while incidence of prematurity and pre-existing neurologic or genetic conditions were higher compared to the NRS group. Multi-microbial pneumonias were diagnosed more commonly in the IMV group, in turn associated with higher severity of illness scores, longer PICU lengths of stay, and more antibiotic usage. Within the IMV group, those intubated earlier had a shorter duration of mechanical ventilation and PICU length of stay, associated with lower pathogen load and, in turn, shorter antibiotic duration. Taken together, our data reveal that critically ill patients with bronchiolitis who require mechanical ventilation possess high risk features, including younger age, history of prematurity, neurologic or genetic co-morbidities, and a propensity for multi-microbial infections.


2016 ◽  
Vol 20 (9) ◽  
pp. 526-529 ◽  
Author(s):  
Sheetal Gupta ◽  
Ghanshyam Sengar ◽  
Praveen K. Meti ◽  
Anil Lahoti ◽  
Mukesh Beniwal ◽  
...  

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