Fluid overload has been independently associated with increased morbidity and mortality in pediatric patients with renal failure, acute lung injury, and sepsis. Pediatric patients who undergo ...cardiopulmonary bypass are at risk for poor cardiac, pulmonary, and renal outcomes. They are also at risk of fluid overload from cardiopulmonary bypass, which stimulates inflammation, release of antidiuretic hormone, and capillary leak. This study tested the hypothesis that patients with fluid overload in the early postcardiopulmonary bypass period have worse outcomes than those without fluid overload. We also examined the timing of the association between postcardiopulmonary bypass acute kidney injury and fluid overload.
Secondary analysis of a prospective observational study of 98 pediatric patients after cardiopulmonary bypass at a tertiary care, academic, PICU.
None.
Early postoperative fluid overload, defined as a fluid balance 5% above body weight by the end of postoperative day 1, occurred in 30 patients (31%). Patients with early fluid overload spent 3.5 days longer in the hospital, spent 2 more days on inotropes, and were more likely to require prolonged mechanical ventilation than those without early fluid overload (all p < 0.001). Fluid overload was associated with the development of acute kidney injury and more often preceded it than followed it. Conversely, acute kidney injury was not associated with more fluid accumulation. Patients with fluid overload were administered higher fluid volume over the study period, 395.4 ± 150 mL/kg vs. 193.2 ± 109.1 mL/kg (p < 0.001), and had poor urinary response to diuretics. Cumulative fluid administered was an excellent predictor of pediatric-modified Risk, Injury, Failure, Loss, and End-stage "Failure" (area under the receiver-operating characteristic curve, 0.963; 95% CI, 0.916-1.000; p = 0.002).
Early postoperative fluid overload is independently associated with worse outcomes in pediatric cardiac surgery patients who are 2 weeks to 18 years old. Patients with fluid overload have higher rates of postcardiopulmonary bypass acute kidney injury, and the occurrence of fluid overload precedes acute kidney injury. However, acute kidney injury is not consistently associated with fluid overload.
To assess the reasons for discharge delays for children with long-term mechanical ventilation.
Charts of children (0-18 years of age) with a new tracheostomy in the Pulmonary Habilitation Program at ...the Ann and Robert H. Lurie Children's Hospital of Chicago were retrospectively reviewed for demographic information, medical diagnoses, medical stability, discharge to home, reasons for discharge delay, and hours of staffed home nursing. All patients were discharged on mechanical ventilation. Discharge delay was defined as >10 days after medical stability. Hospital charges were analyzed and excess charges quantified beginning with the date of delay. Descriptive statistics and Pearson χ2 tests were used to compare nursing hours and demographics.
Of 72 patients, 55% were male with mean age 1.8 years (SD 3.8) at tracheostomy placement. The most common long-term mechanical ventilation indication was chronic lung disease (n = 47, 65%); 54% had discharge delays, the majority were primarily due to lack of home nursing (62%), followed by delay of caregiver training (18%), caregiver health and social issues (8%), and delay in a transitional care facility bed (8%). Of the 39 delayed patients, 10% ($13 217 889) of hospital charges occurred during excess days with a median of $186 061 (IQR $117 661-$386 905) per patient.
Over one-half of children discharged to the community from a large inpatient pediatric long-term mechanical ventilation program had a nonmedical delay of discharge home, most commonly because of home nurse staffing. This case series provides further evidence that limited availability of home nursing impedes efficient discharge and prolongs hospitalizations.
Children with medical complexity are at increased risk for critical illness and adverse outcomes. However, there is currently no consensus definition of medical complexity in pediatric critical care ...research.
Retrospective, cross-sectional cohort study.
One hundred thirty-one U.S. PICUs participating in the Virtual Pediatric Systems Database.
Children less than 21 years old admitted from 2017 to 2019. Multisystem complexity was identified on the basis of two common definitions of medical complexity, Pediatric Complex Chronic Conditions (CCC), greater than or equal to 2 qualifying diagnoses, and Pediatric Medical Complexity Algorithm (PMCA), complex chronic disease.
None.
Of 291,583 index PICU admissions, 226,430 (77.7%) met at least one definition of multisystem complexity, including 168,332 patients identified by CCC and 201,537 by PMCA. Of these, 143,439 (63.3%) were identified by both definitions. Cohen kappa was 0.39, indicating only fair agreement between definitions. Children identified by CCC were younger and were less frequently scheduled admissions and discharged home from the ICU than PMCA. The most common reason for admission was respiratory in both groups, although this represented a larger proportion of CCC patients. ICU and hospital length of stay were longer for patients identified by CCC. No difference in median severity of illness scoring was identified between definitions, but CCC patients had higher inhospital mortality. Readmission to the ICU in the subsequent year was seen in approximately one-fifth of patients in either group.
Commonly used definitions of medical complexity identified distinct populations of children with multisystem complexity in the PICU with only fair agreement.
Red cell distribution width (RDW) is a routine laboratory measure associated with poor outcomes in adult critical illness.
We determined the utility of RDW as an early pragmatic biomarker for outcome ...in pediatric critical illness.
We used multivariable logistic regression to test the association of RDW on the first day of pediatric intensive care unit (PICU) admission with prolonged PICU length of stay (LOS) >48 hours and mortality. The area under the receiver operating characteristic curve (AUROC) for RDW was compared to the Pediatric Index of Mortality (PIM)-2 score.
Over a 13-month period, 596 unique patients had RDW measured on the first day of PICU admission. Sepsis was an effect modifier for LOS >48 hours but not mortality. In sepsis, RDW was not associated with LOS >48 hours. For patients without sepsis, each 1% increase in RDW was associated with 1.17 (95% CI 1.06, 1.30) increased odds of LOS >48 hours. In all patients, RDW was independently associated with PICU mortality (OR 1.25, 95% CI 1.09, 1.43). The AUROC for RDW to predict LOS >48 hours and mortality was 0.61 (95% CI 0.56, 0.66) and 0.65 (95% CI 0.55, 0.75), respectively. Although the AUROC for mortality was comparable to PIM-2 (0.75, 95% CI 0.66, 0.83; p = 0.18), RDW did not increase the discriminative utility when added to PIM-2. Despite the moderate AUROC, RDW <13.4% (upper limit of lower quartile) had 53% risk of LOS >48 hours and 3.3% risk of mortality compared to patients with an RDW >15.7% (lower limit of upper quartile) who had 78% risk of LOS >48 hours and 12.9% risk of mortality (p<0.001 for both outcomes).
Elevated RDW was associated with outcome in pediatric critical illness and provided similar prognostic information as the more complex PIM-2 severity of illness score. Distinct RDW thresholds best discriminate low- versus high-risk patients.
To compare the characteristics and healthcare use of children with medical complexity who receive paid certified nursing assistant (CNA) care by a family member (family CNA) and by a traditional ...nonfamily member (nonfamily CNA).
This was retrospective cohort study of children who received CNA care through Colorado’s Medicaid paid family caregiving program between 2017 and 2019 by a home healthcare agency. We compared patient characteristics between the family CNA and nonfamily CNA groups. A multivariable Poisson regression model was used to compare hospitalization rates (days in the hospital per year), adjusting for patient age patient sex, nursing care, and complex chronic condition.
Of 861 patients, 79% (n = 680) received family CNA care and 21% (n = 181) received nonfamily CNA care. Patient demographics and hospitalization did not differ between the groups, although patients who had family CNAs were less likely to receive additional nursing-level care (42% vs 60%, P < .01). Family and nonfamily CNA caregivers had similar characteristics, except that family CNA caregivers had substantially better 3-year retention (82% vs 9%, P < .01) despite lower average hourly pay ($14.60 vs $17.60 per hour, P < .01). Hospitalizations were rare (<10% of patients). In the adjusted model, patients who received family CNA care experienced 1 more hospitalized day per year, compared with patients who received nonfamily CNA care (P < .001).
Paid family caregivers provided CAN-level care to children with medical complexity with a greater employee retention compared with nonfamily CNA caregivers, with marginally different hospitalization rates using a family-centered approach. This model may help address workforce shortages while also providing income to family caregivers.
To describe the risk factors for acquiring functional or cognitive disabilities during admission to a PICU.
Retrospective analysis of a multicenter PICU database.
Twenty-four PICUs in the Virtual ...PICU Performance System network from January 1, 2009, through December 31, 2010.
Consecutive patients, who are 1 month to 18 years old, who survived to discharge.
None.
Primary outcomes were acquired global functional disability and cognitive disability during admission to a PICU, measured by change in Pediatric Overall Performance Category or in Pediatric Cerebral Performance Category scores, respectively. The primary analysis cohort consisted of 29,352 admissions to the 24 Virtual PICU Performance System sites which collected the main outcome variables. Respectively, 10.3% and 3.4% of the cohort acquired global functional or cognitive disability. Trauma diagnosis (odds ratio, 4.50; 95% CI, 3.83-5.29; odds ratio, 3.91; 95% CI, 3.07-4.98), unscheduled admission to the PICU (odds ratio, 2.67; 95% CI, 2.27-3.12; odds ratio, 1.52; 95% CI, 1.16-2.00), highest risk of mortality category (odds ratio, 1.19; 95% CI, 1.02-1.39; odds ratio, 2.70; 95% CI, 2.15-3.40), oncologic primary diagnoses (odds ratio, 5.61; 95% CI, 4.56-6.91; odds ratio, 4.30; 95% CI, 2.97-6.24), and neurologic primary diagnoses (odds ratio, 2.04, 95% CI, 1.70-2.44; odds ratio, 4.29, 95% CI, 3.18-5.78) were independently associated with acquiring both functional and cognitive disability. Intervention risk factors for acquiring both functional and cognitive disability included invasive mechanical ventilation (odds ratio, 1.79; 95% CI, 1.60-2.00; odds ratio, 2.83; 95% CI, 2.36-3.39), renal replacement therapy (odds ratio, 2.43; 95% CI, 1.73-3.42; odds ratio, 1.76, 95% CI, 1.08-2.85), cardiopulmonary resuscitation (odds ratio, 1.91; 95% CI, 1.24-2.95; odds ratio, 1.81; 95% CI, 1.02-3.23), and extracorporeal membrane oxygenation (odds ratio, 7.40, 95% CI, 4.10-13.36; odds ratio, 14.04, 95% CI, 7.51-26.26).
We identified a subset of patients whose potential for acquiring global functional and cognitive disability during admission to the PICU is high. This population may benefit from interventions that could mitigate this risk and from focused follow-up after discharge from the PICU.
Objectives
Despite great efforts to improve paediatric dental care access in the last two decades, the use of emergency departments (ED) for dental conditions among children that are more ...appropriately addressed in dental offices remains a public health concern in the United States. We examined factors associated with ED visits for nontraumatic dental conditions or NTDCs and ED visits for any other reason among children and adolescents.
Methods
A retrospective secondary data analysis of ED visits was conducted using the 2014‐2015 Nationwide Emergency Department Sample (NEDS) data. NTDCs were further categorized as diseases of hard tissue (eg dental caries), pulp/periapical (eg root canal infections), gingival/periodontal (eg conditions that affect the supporting tissues) and other. We included patient/socioeconomic characteristics, disposition, time of visit, and the Grouped Charlson Comorbidity Index (GRPCI) in our analysis. Bivariate associations were tested using chi‐squared test (α = 0.05).
Results
There were 70 616 194 ED visits in 2014‐15, with 465 353 (0.7%) visits for NTDCs. Statistically significant differences were observed for all patient characteristics tested, except for gender when comparing children visiting the ED for NTDCs and children visiting for any other reason. Medicaid was the expected payer for nearly 60% of all ED visits, and the uninsured shared a larger proportion of NTDC visits (19.4%) than other visits (8.8%). Late adolescents (aged 18‐21) accounted for over 50% of NTDC visits but only one‐fifth of all other types of ED visits. Late adolescents (18‐21 years old) who were uninsured had a significantly higher proportion of NTDC visits. Of all NTDC visits, 19.1% were related to hard tissue disease, 25.3% pulp/periapical, 7.9% periodontal disease, and the remaining were grouped as other dental diseases.
Conclusions
The ED use for NTDCs is more common among late adolescents, Medicaid and uninsured groups. Examining and implementing new approaches that improve access to routine dental care for these groups may help in reducing inefficient ED use related to NTDCs.
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