Unplanned Readmission to the Pediatric Cardiac Intensive Care Unit: Prevalence, Outcomes, and Risk Factors

Validity of Pediatric Early Warning Score in Predicting Unplanned Pediatric Intensive Care Unit Readmission

Despite the fact that unscheduled readmission to pediatric intensive care units (PICUs) has significant adverse consequences, there is a need for a predictive tool appropriate for use in the clinical setting. The aim of this study was to assess the ability of the modified Brighton pediatric early warning score (PEWS) to identify children at high risk for early unplanned readmission. In this retrospective cohort study, all patients aged 1 month to 18 years of age discharged from PICUs of two tertiary children's hospitals during the study interval were enrolled. Apart from demographic data, the association between PEWS and early readmission, defined as readmission within 48 hours of discharge, was analyzed by multivariable logistic regression. From 416 patients, 27 patients had early PICU readmission. Patients who experienced readmission were significantly younger than the controls. (≤12 months, 70.4 vs. 39.1%, p  = 0.001) Patients who were admitted from the emergency room (66.7 and 33.3% for emergency department (ED) and floor, respectively, p  = 0.012) had higher risk of early unplanned readmission. PEWS at discharge was significantly higher in patients who experienced readmission (3.07 vs. 0.8, p  < 0.001). A cut-off PEWS of 2, with sensitivity 85.2% and specificity 78.1%, determined the risk of unplanned readmission. Each 1-point increase in the PEWS at discharge significantly increases the risk of readmission (odds ratio [OR] = 3.58, 95% confidence interval [CI]: [2.42-5.31], p  < 0.001). PEWS can be utilized as a useful predictive tool regarding predicting unscheduled readmission in PICU. Further large-scale studies are needed to determine its benefits in clinical practice.

Transferring With TACT: A Novel Tool to Standardize Transfer Decisions From a Level IV NICU

BACKGROUND

Neonatal patients who no longer require level IV neonatal intensive care unit care are transferred to less acute levels of care. Standardized assessment tools have been shown to be beneficial in the transfer of patient care. However, no standardized tools were available to assist neonatal providers in the assessment and communication of the infants needs at transfer.

PURPOSE

The purpose was to develop a Transfer Assessment and Communication Tool (TACT) that guides provider decision making in the transfer of infants from a level IV neonatal intensive care unit to a less acute level of care within a regionalized healthcare system.

METHODS

Phase 1 included developing the first draft of the TACT using retrospective data, known variables from published literature, and study team expertise. In phase 2, the final draft of the TACT was created through feedback from expert neonatal providers in the regionalized care system using e-Delphi methodology.

RESULTS

The first draft of the TACT, developed in phase 1, included 36 characteristics. In phase 2, nurses, nurse practitioners, and physician experts representing all levels of newborn care participated in 4 e-Delphi surveys to develop the final draft of the TACT, which included 74 weighted characteristics.

IMPLICATIONS FOR PRACTICE AND RESEARCH

Potential benefits of the TACT include improved communication across healthcare teams, reduced risk for readmission, and increased caregiver visitation. The next steps are to validate the TACT for use either retrospectively or in real time, including characteristic weights, before implementation of this tool in the clinical setting.

High-Frequency Utilization of the PICU

OBJECTIVES

To describe the demographic, clinical, outcome, and cost differences between children with high-frequency PICU admission and those without.

DESIGN

Retrospective, cross-sectional cohort study.

SETTING

United States.

PATIENTS

Children less than or equal to 18 years old admitted to PICUs participating in the Pediatric Health Information System database in 2018.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We assessed survivors of PICU admissions for repeat PICU admissions within a year of their index visit. Children with greater than or equal to 3 PICU admissions within a year were classified as high-frequency PICU utilization (HFPICU). We compared demographic, clinical, outcome, and cost characteristics between children with HFPICU and those with only an index or two admissions per year (nHFPICU). Of 95,465 children who survived an index admission, 5,880 (6.2%) met HFPICU criteria. HFPICU patients were more frequently younger, technology dependent, and publicly insured. HFPICU patients had longer lengths of stay and were more frequently discharged to a rehabilitation facility or with home nursing services. HFPICU patients accounted for 24.8% of annual hospital utilization costs among patients requiring PICU admission. Time to readmission for children with HFPICU was 58% sooner (95% CI, 56-59%) than in those with nHFPICU with two admissions using an accelerated failure time model. Among demographic and clinical factors that were associated with development of HFPICU status calculated from a multivariable analysis, the greatest effect size was for time to first readmission within 82 days.

CONCLUSIONS

Children identified as having HFPICU account for 6.2% of children surviving an index ICU admission. They are a high-risk patient population with increased medical resource utilization during index and subsequent ICU admissions. Patients readmitted within 82 days of discharge should be considered at higher risk of HFPICU status. Further research, including validation and exploration of interventions that may be of use in this patient population, are necessary.

Effect of post-ICU follow-up by a rapid response team after congenital heart surgery

Patients with congenital heart disease who have a variety of cardiac/extracardiac problems are at high risk for deterioration. This study aimed to determine the effectiveness of post-intensive care unit (ICU) follow-up by a rapid response team (RRT) after congenital heart surgery. This before-and-after study was conducted at an urban regional tertiary hospital. We enrolled 572 consecutive patients who underwent congenital heart surgery and were transferred alive from the paediatric ICU (PICU) between April 2015 and March 2020. Post-ICU follow-up for 48 h was started in April 2018. The primary and secondary endpoints were unplanned ICU readmission and clinical outcomes at ICU readmission, respectively. Overall, 346 and 226 patients were analysed pre- and post-intervention, respectively. Patient demographics were similar between groups, but in the post-intervention group, patients tended to have had more complicated surgery. Unplanned ICU readmission rates within 30 days were similar between groups. Regarding the demographics and outcomes at ICU readmission, patients in the post-intervention group had lower predicted mortality rates (1.7% vs 5.3%, P = 0.001), required less ventilator days (median, 0.5 days [interquartile range (IQR) 0–1] vs median, 3 days [IQR 0.5–4], P = 0.02), and had a shorter ICU stay (median, 3 days [IQR 2–4] vs median, 6 days [IQR 3–9], P = 0.03), but there was no significant between-group difference in ICU mortality. Post-ICU follow-up by a RRT after congenital heart surgery did not decrease unplanned ICU readmission but improved several outcomes at ICU readmission.

If early warning systems are used, would it be possible to estimate early clinical deterioration risk and prevent readmission to intensive care?

Background

Although the intensive care unit (ICU) admission criteria are specified clearly, it is difficult to make the decision of discharge from ICU.

Aims

The purpose of this study is to test whether or not early warning scores will allow us to estimate early clinical deterioration within 24 hours and predict readmission to intensive care. A total of 1330 patients were included in the retrospective study.

Patients and Methods

All the patients' age, gender, ICU hospitalization reasons and Acute Physiological and Chronic Health Evaluation (APACHE II) scores were recorded. National Early Warning Score (NEWS) and VitalpacTM early warning score (VIEWS) scores were calculated using the physiological and neurological examination records. Discharge NEWS and VIEWS values of the patients who were readmitted to intensive care 24 hours after discharge were compared with the patients who were not readmitted to intensive care. The statistical analysis was performed using the IBM SPSS version 21 package software.

Results

Age average of all the patients was 64.3 ± 20.8 years. The number of the patients who were readmitted to intensive care was 118 (8.87%). When examining the factors that affect early clinical deterioration, it was found that advanced age, high APACHE II scores, higher NEWS and VIEWS scores, lower DAP values and the patient's transfer from the ward were significantly predictive (P < 0.05).

Conclusions

In this study, high NEWS and VIEWS are strong scoring systems that can be used in estimating early clinical deterioration risk and are easy-to-use and less time consuming.

Discharge and Readmission to the Pediatric Cardiac ICU in Pediatric Patients With Durable Ventricular Assist Devices

OBJECTIVES

Pediatric patients implanted with a durable ventricular assist device are initially managed in the pediatric cardiac ICU but are eligible for discharge to the ward. Our objectives were to characterize discharge and readmission of ventricular assist device patients to the pediatric cardiac ICU, identify risk factors for readmission, and determine whether discharge or readmission is associated with mortality.

DESIGN

Retrospective study.

SETTING

Stollery Children's Hospital.

PATIENTS

Patients implanted with a durable ventricular assist device at less than 18 years old between 2005 and 2016.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were 44 patients who underwent ventricular assist device implantation at a median age of 3.7 years (interquartile range, 0.6-9.0 yr), with the most common etiology being noncongenital heart disease (76.7%). Median time of total ventricular assist device support was 110.0 days (interquartile range, 42.3-212.3 d) with the median index pediatric cardiac ICU stay being 34.0 days (interquartile range, 19.8-81.0 d). Thirty patients (68.0%) were discharged to the ward with 18 (60.0%) having at least one readmission. The median time to first readmission was 18.0 days (interquartile range, 14.8-109.8 d) with a median of two readmissions per patient (interquartile range, 1.0-3.0). The most common reason for readmission was pump thrombosis (30.4%), followed by neurologic dysfunction (23.9%). There were no statistically significant pre- or post-implant factors associated with readmission, and readmission was not associated with mortality (p = 0.600). Univariate Kaplan-Meier survival analysis indicated that use of pre-implant extracorporeal membrane oxygenation, post-implant continuous renal replacement therapy, as well as failure to be discharged from the index pediatric cardiac ICU stay were associated with mortality.

CONCLUSIONS

Readmissions to the pediatric cardiac ICU occurred in 60.0% of pediatric patients on durable ventricular assist devices with the first readmission occurring within a month of discharge from the index pediatric cardiac ICU stay. While readmission was not associated with mortality, lack of discharge from index pediatric cardiac ICU stay was likely due to a worse pre-implant clinical status.

Variation in Case-Mix Adjusted Unplanned Pediatric Cardiac ICU Readmission Rates

OBJECTIVES

To identify modifiable factors leading to unplanned readmission and characterize differences in adjusted unplanned readmission rates across hospitals.

DESIGN

Retrospective cohort study using prospectively collected clinical registry data SETTING:: Pediatric Cardiac Critical Care Consortium clinical registry.

PATIENTS

Patients admitted to a pediatric cardiac ICU at Pediatric Cardiac Critical Care Consortium hospitals.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We examined pediatric cardiac ICU encounters in the Pediatric Cardiac Critical Care Consortium registry from October 2013 to March 2016. The primary outcomes were early (< 48 hr from pediatric cardiac ICU transfer) and late (2-7 d) unplanned readmission. Generalized logit models identified independent predictors of unplanned readmission. We then calculated observed-to-expected ratios of unplanned readmission and identified higher-than or lower-than-expected unplanned readmission rates for those with an observed-to-expected ratios greater than or less than 1, respectively, and a 95% CI that did not cross 1. Of 11,301 pediatric cardiac ICU encounters (16 hospitals), 62% were surgical, and 18% were neonates. There were 175 (1.6%) early unplanned readmission, and 300 (2.7%) late unplanned readmission, most commonly for respiratory (31%), or cardiac (28%) indications. In multivariable analysis, unique modifiable factors were associated with unplanned readmission. Although shorter time between discontinuation of vasoactive infusions and pediatric cardiac ICU transfer was associated with early unplanned readmission, nighttime discharge was independently associated with a greater likelihood of late unplanned readmission. Two hospitals had lower-than-expected unplanned readmission in both the early and late categories, whereas two other hospitals were higher-than-expected in both.

CONCLUSIONS

This analysis demonstrated time from discontinuation of critical care therapies to pediatric cardiac ICU transfer as a significant, modifiable predictor of unplanned readmission. We identified two hospitals with lower-than-expected adjusted rates of both early and late unplanned readmission, suggesting that their systems are well designed to prevent unplanned readmission. This offers the possibility of disseminating best practices to other hospitals through collaborative learning.

Which children account for repeated admissions within 1 year in a Brazilian pediatric intensive care unit?

OBJECTIVE

While studies have focused on early readmissions or readmissions during the same hospitalization in a pediatric intensive care unit, little is known about the children with recurrent admissions. We sought to assess the characteristics of patients readmitted within 1 year in a Brazilian pediatric intensive care unit.

METHODS

This was a retrospective study carried out in a tertiary pediatric intensive care unit. The outcome was the maximum number of readmissions experienced by each child within any 365-day interval during a 5-year follow-up period.

RESULTS

Of the 758 total eligible admissions, 75 patients (9.8%) were readmissions. Those patients accounted for 33% of all pediatric intensive care unit bed care days. Median time to readmission was 73 days for all readmissions. Logistic regression showed that complex chronic conditions (odds ratio 1.07), severe to moderate cognitive disability (odds ratio 1.08), and use of technology assistance (odds ratio 1.17) were associated with readmissions. Multiple admissions had a significantly prolonged duration of mechanical ventilation (8 vs. 6 days), longer length of pediatric intensive care unit (7 vs 4 days) and hospital stays (20 vs 9 days), and higher mortality rate (21.3% vs 5.1%) compared with index admissions.

CONCLUSION

The rate of pediatric intensive care unit readmissions within 1 year was low; however, it was associated with a relevant number of bed care days and worse outcomes. A 30-day index of readmission may be inadequate to mirror the burden of pediatric intensive care unit readmissions. Patients with complex chronic conditions, poor functional status or technology assistance are at higher risk for readmissions. Future studies should address the impact of qualitative interventions on healthcare and recurrent admissions.

Criteria for Critical Care Infants and Children: PICU Admission, Discharge, and Triage Practice Statement and Levels of Care Guidance

OBJECTIVES

To update the American Academy of Pediatrics and Society of Critical Care Medicine's 2004 Guidelines and levels of care for PICU.

DESIGN

A task force was appointed by the American College of Critical Care Medicine to follow a standardized and systematic review of the literature using an evidence-based approach. The 2004 Admission, Discharge and Triage Guidelines served as the starting point, and searches in Medline (Ovid), Embase (Ovid), and PubMed resulted in 329 articles published from 2004 to 2016. Only 21 pediatric studies evaluating outcomes related to pediatric level of care, specialized PICU, patient volume, or personnel. Of these, 13 studies were large retrospective registry data analyses, six small single-center studies, and two multicenter survey analyses. Limited high-quality evidence was found, and therefore, a modified Delphi process was used. Liaisons from the American Academy of Pediatrics were included in the panel representing critical care, surgical, and hospital medicine expertise for the development of this practice guidance. The title was amended to "practice statement" and "guidance" because Grading of Recommendations, Assessment, Development, and Evaluation methodology was not possible in this administrative work and to align with requirements put forth by the American Academy of Pediatrics.

METHODS

The panel consisted of two groups: a voting group and a writing group. The panel used an iterative collaborative approach to formulate statements on the basis of the literature review and common practice of the pediatric critical care bedside experts and administrators on the task force. Statements were then formulated and presented via an online anonymous voting tool to a voting group using a three-cycle interactive forecasting Delphi method. With each cycle of voting, statements were refined on the basis of votes received and on comments. Voting was conducted between the months of January 2017 and March 2017. The consensus was deemed achieved once 80% or higher scores from the voting group were recorded on any given statement or where there was consensus upon review of comments provided by voters. The Voting Panel was required to vote in all three forecasting events for the final evaluation of the data and inclusion in this work. The writing panel developed admission recommendations by level of care on the basis of voting results.

RESULTS

The panel voted on 30 statements, five of which were multicomponent statements addressing characteristics specific to PICU level of care including team structure, technology, education and training, academic pursuits, and indications for transfer to tertiary or quaternary PICU. Of the remaining 25 statements, 17 reached consensus cutoff score. Following a review of the Delphi results and consensus, the recommendations were written.

CONCLUSIONS

This practice statement and level of care guidance manuscript addresses important specifications for each PICU level of care, including the team structure and resources, technology and equipment, education and training, quality metrics, admission and discharge criteria, and indications for transfer to a higher level of care. The sparse high-quality evidence led the panel to use a modified Delphi process to seek expert opinion to develop consensus-based recommendations where gaps in the evidence exist. Despite this limitation, the members of the Task Force believe that these recommendations will provide guidance to practitioners in making informed decisions regarding pediatric admission or transfer to the appropriate level of care to achieve best outcomes.

National Early Warning Score (NEWS) at ICU discharge can predict early clinical deterioration after ICU transfer

OBJECTIVE

This study aims to determine the ability of the National Early Warning Score at ICU discharge (NEWS_dc) to predict the development of clinical deterioration within 24h.

METHODS

A prospective observational study was conducted. The NEWS was immediately recorded before discharge (NEWS_dc). The development of early clinical deterioration was defined as acute respiratory failure or circulatory shock within 24h of ICU discharge. The discrimination of NEWS_dc and the best cut off value of NEWS_dc to predict the early clinical deterioration was determined.

RESULTS

Data were collected from 440 patients. The incidence of early clinical deterioration after ICU discharge was 14.8%. NEWS_dc was an independent predictor for early clinical deterioration after ICU discharge (OR 2.54; 95% CI 1.98-3.26; P<0.001). The AUROC of NEWS_dc was 0.92±0.01 (95% CI 0.89-0.94, P<0.001). A NEWS_dc>7 showed a sensitivity of 93.6% and a specificity of 82.2% to detect an early clinical deterioration after ICU discharge.

CONCLUSION

Among critically ill patients who were discharged from ICU, a NEWS_dc>7 showed the best sensitivity and specificity to detect early clinical deterioration 24h after ICU discharge.

Predicting unplanned readmissions to a pediatric cardiac intensive care unit using predischarge Pediatric Early Warning Scores

OBJECTIVE

Unplanned readmission to the pediatric cardiac intensive care unit (CICU) is associated with significant morbidity and mortality. The Pediatric Early Warning Score (PEWS) predicts ward patients at risk for decompensation but has not been previously reported to identify at-risk patients with cardiac disease prior to ward transfer. This study aimed to determine whether PEWS prior to transfer may serve as a predictor of unplanned readmission to the CICU.

DESIGN

All patients discharged from a tertiary children's hospital CICU from September 2012 through August 2015 were included for analysis. PEWS assessment was performed following transfer to the cardiac ward, and starting in January 2014, PEWS scores were also assigned by bedside CICU nurse prior to transfer from the CICU. Scores exceeding a predetermined threshold prompted further stability assessment by provider team prior to transfer.

RESULTS

Among 1320 discharges of 1082 patients during the study period, there were 130 unplanned readmissions during their hospitalization. Following implementation of pretransfer PEWS scoring, there was no significant reduction in unplanned readmission frequency (10.2% vs 9.2%, P = .39). A secondary analysis of PEWS scores revealed cardiac scoring as a strong discriminator of those likely to experience an unplanned readmission, independent of other significant clinical predictors of readmission (OR 1.78, 95% CI 1.17-2.71, P = .007). The resultant multivariate model was a good predictor of unplanned readmission (AUC 0.77, 95% CI 0.71-0.83, P < .001).

CONCLUSION

While implementation of a pretransfer PEWS assessment did not reduce the frequency of unplanned readmissions in this small single-center cohort, a multivariate model including pretransfer elements of an early warning scoring system, along with other patient characteristics serves as a good discriminator of patients likely to experience an unplanned readmission following CICU discharge. Further prospective investigation is needed to define objective measures of pretransfer discharge readiness to potentially reduce the likelihood of unplanned readmissions.

Unscheduled Pediatric Intensive Care Unit Admissions in Patients With Cardiovascular Disease: Clinical Features and Outcomes

BACKGROUND

An unscheduled readmission to the intensive care unit (ICU) is associated with increased morbidity and mortality in children. There is a paucity of data examining the impact of unscheduled admissions on outcomes in children with specific disease processes such as cardiovascular disease. We investigated the impact of scheduled versus unscheduled ICU admission on clinical outcomes and differences in patient characteristics in children with cardiovascular disease.

METHODS

This was a retrospective analysis of contemporaneously collected clinical data using the Virtual PICU Systems database. All consecutive admissions at 102 participating pediatric ICUs in patients with cardiovascular disease were collected from October 2010 to September 2012.

RESULTS

There were 48,653 admissions included in the analysis (44% scheduled and 56% unscheduled). The median patient age was 31 months. Unscheduled admissions were associated with longer ICU length of stay and increased mortality (both P < .001). Adjusting for age, weight, and primary ICU admission diagnosis (cardiovascular vs noncardiovascular), patients with unscheduled admissions had an increased odds of mortality (odds ratio = 4.8, P < .001).

CONCLUSIONS

Unscheduled ICU admissions were associated with worse clinical outcomes including increased mortality. Efforts targeted at reducing unscheduled admissions in at-risk patients are warranted.