Children's hospitals with shorter lengths of stay do not have higher readmission rates

Frequency of and Risk Factors for Increased Healthcare Utilization After Pediatric Sepsis Hospitalization

OBJECTIVES

To determine the frequency of and risk factors for increased post-sepsis healthcare utilization compared with pre-sepsis healthcare utilization.

DESIGN

Retrospective observational cohort study.

SETTING

Years 2016-2019 MarketScan Commercial and Medicaid Database.

PATIENTS

Children (0-18 yr) with sepsis treated in a U.S. hospital.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We measured the frequency of and risk factors for increased healthcare utilization in the 90 days post- vs. pre-sepsis hospitalization. We defined increased healthcare utilization as an increase of at least 3 days in the 90 days post-hospitalization compared with the 90 days pre-hospitalization based on outpatient, emergency department, and inpatient hospitalization. We identified 2801 patients hospitalized for sepsis, of whom 865 (30.9%) had increased healthcare utilization post-sepsis, with a median (interquartile range [IQR]) of 3 days (1-6 d) total in the 90 days pre-sepsis and 10 days (IQR, 6-21 d) total in the 90 days post-sepsis ( p < 0.001). In multivariable models, the odds of increased healthcare use were higher for children with longer lengths of hospitalization (> 30 d adjusted odds ratio [aOR], 4.35; 95% CI, 2.99-6.32) and children with preexisting complex chronic conditions, specifically renal (aOR, 1.47; 95% CI, 1.02-2.12), hematologic/immunologic (aOR, 1.34; 95% CI, 1.03-1.74), metabolic (aOR, 1.39; 95% CI, 1.08-1.79), and malignancy (aOR, 1.89; 95% CI, 1.38-2.59).

CONCLUSIONS

In this nationally representative cohort of children who survived sepsis hospitalization in the United States, nearly one in three had increased healthcare utilization in the 90 days after discharge. Children with hospitalizations longer than 30 days and complex chronic conditions were more likely to experience increased healthcare utilization.

Neutrophil-to-lymphocyte ratio as a predictor of postoperative complications and readmissions after appendectomy in children

To analyze the role of neutrophil-to-lymphocyte ratio (NLR) in predicting the development of postoperative complications and readmission after appendectomy in children. A retrospective single-centered case-control study was conducted on children who underwent appendectomy between 2017 and 2020. Demographics, time since symptoms onset, laboratory tests at admission, postoperative complications, and readmissions in the first 30 days after surgery were recorded. Sensitivity and specificity analysis of the parameters evaluated were determined by the area under the curve (AUC) represented on the receiver operating characteristic (ROC) curves. A total of 1,214 patients (765 males; 449 females) were included, with a median age at diagnosis of 10.4 years. The median time from symptom onset was 24 h. During the first 30 days after surgery, 149 postoperative complications were reported (12.3%). NLR at admission presented the highest AUC (0.753), with a cut-off point of 10.5 for maximum sensitivity (68.7%) and specificity (86.1%). Readmissions were reported in 45 cases (3.7%). NLR at admission presented an AUC of 0.794 significantly higher than neutrophils (0.696), leukocytes (0.654), and time since symptom onset (0.622), making these differences statistically significant (p < 0.001). The cut-off point of NLR > 12.4 was estimated, with a maximum sensitivity and specificity of 71.0% and 82.3% for predicting readmission. NLR is an independent predictor of postoperative complications and readmission in children with acute appendicitis. While its application in routine clinical practice has yet to be established, the NLR may provide clinicians with a tool for identifying high-risk surgical patients.

Treatment-related toxicities associated with hospitalization in children, adolescents, and young adults with acute lymphoblastic leukemia: population level analysis

Treatment-related toxicities (TRTs) are a potential cause of survival disparities in patients with acute lymphoblastic leukemia (ALL). We aimed to identify the most frequent TRTs associated with hospitalizations at a population level in children, adolescents and young adults (AYAs). We used the California Cancer Registry linked to a statewide hospital discharge database to identify children and AYAs with TRTs within 3 years of diagnosis. We assessed the frequency of TRTs, length of stay (LOS), admission rates associated with TRTs and TRTs impact on survival. Febrile neutropenia, hypertension, and thrombocytopenia were the most common TRTs for both children and AYAs. AYAs had longer median LOS compared to children for most toxicities. AYAs at non-specialized cancer centers (SCCs) had higher frequency of admissions associated with TRTs compared to non-SCC. Cardiovascular, respiratory, gastrointestinal, renal, and infectious TRTs were associated with worse survival. This study demonstrates the burden of TRTs in patients with ALL.

The Analysis of Hospital Readmission Rates After the Implementation of Hospital Readmissions Reduction Program

OBJECTIVES

This study aims to analyze the impact of Hospital Readmissions Reduction Program (HRRP) on the nationwide optimization efforts of length of stay (LOS) and readmissions in the United States.

METHODS

We use the Nationwide Readmission Database between 2010 and 2016 provided in the Healthcare Cost and Utilization Project by the Agency for Healthcare Research and Quality. The study focuses on acute myocardial infarction, chronic obstructive pulmonary disease, congestive heart failure (CHF), pneumonia monitored by the HRRP and 2 conditions, septicemia, and mood disorders that were not monitored by the HRRP but had among the highest readmissions. Patient demographics and readmissions were analyzed based on insurance type, LOS, and Charlson Comorbidity Index.

RESULTS

The readmissions vary by conditions, LOS, and insurance types. Congestive heart failure has the highest readmissions among the 6 analyzed conditions at approximately 25%. The readmission rate of CHF rises to 30% for the Medicaid patients and varies between 30% and 35% by LOS. Patients with CHF with higher Charlson Comorbidity Index demonstrates the highest readmissions among 6 conditions. The patients with longer LOSs had higher readmissions, and Medicare patients have a higher reduction in readmissions in acute myocardial infarction and mood disorders compared with the other forms of payments.

CONCLUSIONS

Our figures show that targeted programs, such as HRRP, may have a positive impact on readmission rates. We, however, observe some graphical evidence that nontargeted conditions could exhibit similar trends. Because of heterogeneity in hospital and patient characteristics, it is pivotal for researcher to consider them in formal analyses.

Postoperative complications in pediatric patients with cerebral palsy

BACKGROUND/PURPOSE

To assess surgical outcomes of patients with cerebral palsy (CP) and if they differ from patients without CP.

METHODS

The NSQIP-Pediatric database from 2012 to 2019 was used to compare differences in presenting characteristics and outcomes between patients with and without CP. Chi-square tests and multivariable logistic regression analysis were used to determine significance.

RESULTS

119,712 patients, 433 (0.4%) with CP, 119,279 (99.6%) without, were identified. Patients with CP had more postoperative complications (19.4% vs. 6.9%, p < 0.001) with an OR of 3.2, (95%CI 2.5-4.1, p < 0.001) on univariable analysis. They underwent fewer laparoscopic procedures (79.1% vs. 90.8%, p < 0.001), had more readmissions (10.2% vs. 3.8%, p < 0.001), reoperations (5.1% vs. 1.2%, p < 0.001), and longer length of stays (LOS) (median 3 versus 1 day, p < 0.001). On multivariable analysis, having CP did not increase the odds of postoperative morbidity (OR 0.99, 95% CI 0.7-1.3), but higher ASA class, congenital lung malformation, gastrointestinal disease, coagulopathy, preoperative inotropic support, oxygen use, nutritional support, and steroid use significantly increase the odds of morbidity, all of which were more common in patients with CP.

CONCLUSION

Patients with CP have more postoperative complications, open procedures, and longer LOS. Patient complexity may account for these differences and risk-directed perioperative planning may improve outcomes.

LEVEL OF EVIDENCE

Level IV.

Length of Stay in Pediatric Neurology Hospital Admissions

OBJECTIVE

To describe inpatient length of stay patterns, identify key drivers related to prolonged length of stay, and evaluate the relationship between length of stay and readmission in pediatric neurology.

METHODS

This was a retrospective review of patients <19 years old admitted with a principal neurologic diagnosis to our hospital between January 2017 and July 2019. Scheduled admissions and hospital admissions lasting >30 days were excluded from analysis. Length of stay was obtained in addition to demographic characteristics, principal discharge diagnosis, multispecialty care, use of multiple antiseizure medications, inpatient hospital costs (ie, claims paid), and pediatric intensive care unit (ICU) admission for unplanned admissions and 7- and 30-day readmissions.

RESULTS

There were a total of 1579 unplanned admissions. The most common reasons for admission were seizure (n = 942), headache (n = 161), other neurologic diagnosis (n = 121), and psychiatric disorders/functional neurologic disorder (n = 60). Children admitted to the hospital for a neurologic condition have an average length of stay of 2.8±5.0 days for unplanned admissions, 4.5±7.4 days for 7-day readmissions, and 5.2±7.5 days for 30-day readmissions. Average inpatient hospital costs were $44 075±56 976 for unplanned admissions, $60 361±71 427 for 7-day readmissions, and $55 434±56 442 for 30-day readmissions. Prolonged length of stay and increased hospital costs were associated with pediatric ICU admission, multispecialty care, 7- and 30-day readmission, multiple antiseizure medications, and psychiatric disorders / functional neurologic disorders.

CONCLUSIONS

Pediatric ICU admission, multispecialty care, readmission, multiple antiseizure medications, and psychiatric disorder / functional neurologic disorder prolong length of stay and increase hospital costs.

Risk factors, causes, and rates associated with hospital readmission after pediatric neck mass surgery

BACKGROUND

To understand rates, risk factors, and costs associated with hospital readmission in pediatric patients who underwent neck mass excision.

METHODS

This was a retrospective review of the Nationwide Readmissions Database (NRD) between 2010 and 2014 of select neck mass procedures, defined as affecting the following: thyroid, salivary gland, cervical lymph nodes, branchial cleft, thymus, and head and neck vessels. We analyzed rates and causes of 30-day readmissions using univariate and multivariate logistic regression.

RESULTS

There were a total of 11,824 weighted cases identified with a 30-day readmission rate of 9.0% and a mean age of 9.5 years old. The sex distribution of patients undergoing neck mass procedures was 55.8% female and 44.2% male. The most common cause of readmission was associated with a comorbid condition likely unrelated to the neck mass procedure (53%). The most common procedure-related readmission causes were associated with a postoperative neck mass (14.4%), wound (13%), and infection (6.5%). In the multivariate model, number of procedures≥5 (OR: 2.11, 95% CI: 1.28-3.49), number of chronic conditions≥1 (OR: 2.33, 95% CI: 1.16-4.66), length of hospital stay of≥7 days (OR: 2.43, 95% CI: 1.48-0.3.98), and cervical lymph node procedure (OR:2.61, 95% CI: 1.47-4.63) were associated with higher readmission risk.

CONCLUSION

Readmission after surgery for pediatric neck masses is relatively common, with an average of 9.0%. Risk factors associated with readmission include length of initial hospital stay, number of chronic conditions, number of procedures performed, and undergoing a cervical lymph node procedure.

Readmissions Following Hospitalization for Infection in Children With or Without Medical Complexity

OBJECTIVE

To describe the prevalence and characteristics of infection-related readmissions in children and to identify opportunities for readmission reduction and estimate associated cost savings.

STUDY DESIGN

Retrospective analysis of 380,067 nationally representative index hospitalizations for children using the 2014 Nationwide Readmissions Database. We compared 30-day, all-cause unplanned readmissions and costs across 22 infection categories. We used the Inpatient Essentials database to measure hospital-level readmission rates and to establish readmission benchmarks for individual infections. We then estimated the number of readmissions avoided and costs saved if hospitals achieved the 10th percentile of hospitals' readmission rates (ie, readmission benchmark). All analyses were stratified by the presence/absence of a complex chronic condition (CCC).

RESULTS

The overall 30-day readmission rate was 4.9%. Readmission rates varied substantially across infections and by presence/absence of a CCC (CCC: range, 0%-21.6%; no CCC: range, 1.5%-8.6%). Approximately 42.6% of readmissions (n = 3,576) for children with a CCC and 54.7% of readmissions (n = 5,507) for children without a CCC could have been potentially avoided if hospitals achieved infection-specific benchmark readmission rates, which could result in an estimated savings of $70.8 million and $44.5 million, respectively. Bronchiolitis, pneumonia, and upper respiratory tract infections were among infections with the greatest number of potentially avoidable readmissions and cost savings for children with and without a CCC.

CONCLUSION

Readmissions following hospitalizations for infection in children vary significantly by infection type. To improve hospital resource use for infections, future preventative measures may prioritize children with complex chronic conditions and those with specific diagnoses (eg, respiratory illnesses).

Examining the relationship between poverty and length of stay: a repeated cross-sectional study of paediatric hospitalisations in Chile

OBJECTIVE

To measure poverty-based disparities in inpatient length of stay for paediatric hospitalisations. In particular, this paper examines the relationship between municipality level poverty rates and length of stay, accounting for individual level characteristics.

DESIGN

We use patient discharge data to conduct a repeated cross-sectional study of the totality of paediatric hospitalisations in 15 regions of Chile, in the years 2011, 2013, 2015 and 2017.

SETTING

All hospital discharges in 15 regions of Chile.

PARTICIPANTS

1 033 222 discharges for children under the age of 15, between 2011 and 2017.

OUTCOME MEASURES

Length of stay (LOS); LOS by type of insurance and type of hospital; hospitalisation rates; municipality-level average LOS.

RESULTS

We find that municipality level poverty rates are a significant predictor of LOS, even after controlling for individual and area level characteristics, including type of insurance. Children from municipalities in the poorest quintile have a LOS that is 14% shorter as compared with children from municipalities in the richest quintile. This relationship is stronger for publicly insured children: the decrease in LOS associated with the same poverty change is of 22%.

CONCLUSIONS

This paper shows that there is an association between municipality-level poverty rates and length of stay for paediatric hospitalisations in Chile. For the vast majority of the sample, and after controlling for individual level characteristics, an increase in the municipality level poverty rate is associated with a decrease in the length of stay. Further, there is a non-linearity in the relationship, where at the highest poverty rates, poverty and LOS are positively associated. These findings are robust after controlling for type of hospital (public vs private), type of insurance (public vs private), type of diagnosis, as well as year and region fixed effects.

FeBRILe3 Project: protocol for a prospective pragmatic, multisite observational study and safety evaluation assessing Fever, Blood cultures and Readiness for discharge in Infants Less than 3 months old

INTRODUCTION

The purpose of this observational study is to assess the safety and impact of the introduction of a clinical practice guideline (CPG) recommending early discharge of infants with fever without source who are at low risk of serious bacterial infection (SBI). We hypothesise that implementation of this guideline will be associated with a rate of unplanned readmission to hospital (within 7 days of discharge) which is similar (ie, non-inferior) to that observed under previous standard practice.

METHODS AND ANALYSIS

This observational study is a prospective pragmatic, multisite safety assessment and impact project. It will evaluate the safety of a CPG which allows febrile infants fulfilling low-risk criteria to be discharged early from hospital if their blood cultures demonstrate no growth at 24 hours (compared with previous minimum 48 hours admission). This guideline has been implemented at two Western Australian metropolitan hospitals. Infants aged <3 months (chronological or corrected for premature birth before 37 weeks gestation) presenting with fever without source will be included. The primary outcome is readmission to hospital due to clinical deterioration/caregiver concern within 7 days of discharge, identified through review of electronic admission details and study-specific caregiver surveys. Secondary outcomes include rates of SBI, hospital lengths of stay compared with previous practice, clinician guideline adherence and caregiver satisfaction with the discharge process. Analysis will be within a sequential Bayesian safety monitoring framework, which incorporates new information and updates the evidence for guideline safety relative to previous practice (historical control) at prespecified interim analyses. Demographic and clinical information will be summarised.

ETHICS AND DISSEMINATION

Ethics approval and waiver of consent for data collection has been granted by the Child and Adolescent Health Service Human Research Ethics Committee (RGS0000001415). Caregivers will have the option to opt out of survey follow-up. Results will be disseminated via peer-reviewed publication.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trials Registry (ACTRN12619001010189).

Physicians' Perceptions of Stakeholder Influence on Discharge Timing in a Children's Hospital

Attending physicians (N = 53) at a nonprofit, university-affiliated academic children's hospital completed a survey about how key stakeholders affect timing of patient discharge beyond attending assessment of medical stability. Physicians perceived families and hospital administration as more often having an impact on discharge timing than they should and perceived members of the care team and peer physicians/consultants as less frequently having an impact than they should. All but one physician reported discharging a patient either earlier or later than they felt was appropriate due to pressure from at least one stakeholder group; almost all physicians had done so in response to pressure from families. When physicians changed discharge timing based on stakeholder pressure, they tended to extend hospital stay except in the case of administrative pressure. These findings highlight the need for improvements in communication regarding discharge goals and for future research on how navigating competing interests affect physician stress.

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

BACKGROUND

Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive modeling approaches, which may be useful to identify preventable readmissions that constitute a major portion of the cost attributed to readmissions.

OBJECTIVE

To assess the all-cause readmission predictive performance achieved by machine learning techniques in the emergency department of a pediatric hospital in Santiago, Chile.

MATERIALS

An all-cause admissions dataset has been collected along six consecutive years in a pediatric hospital in Santiago, Chile. The variables collected are the same used for the determination of the child's treatment administrative cost.

METHODS

Retrospective predictive analysis of 30-day readmission was formulated as a binary classification problem. We report classification results achieved with various model building approaches after data curation and preprocessing for correction of class imbalance. We compute repeated cross-validation (RCV) with decreasing number of folders to assess performance and sensitivity to effect of imbalance in the test set and training set size.

RESULTS

Increase in recall due to SMOTE class imbalance correction is large and statistically significant. The Naive Bayes (NB) approach achieves the best AUC (0.65); however the shallow multilayer perceptron has the best PPV and f-score (5.6 and 10.2, resp.). The NB and support vector machines (SVM) give comparable results if we consider AUC, PPV, and f-score ranking for all RCV experiments. High recall of deep multilayer perceptron is due to high false positive ratio. There is no detectable effect of the number of folds in the RCV on the predictive performance of the algorithms.

CONCLUSIONS

We recommend the use of Naive Bayes (NB) with Gaussian distribution model as the most robust modeling approach for pediatric readmission prediction, achieving the best results across all training dataset sizes. The results show that the approach could be applied to detect preventable readmissions.

Association of Extending Hospital Length of Stay With Reduced Pediatric Hospital Readmissions

This cohort study explores the association between index hospitalization length of stay and hospital readmissions among children.

Readmission after seizure discharge in a nationally representative sample

OBJECTIVE

To determine the 30-day readmission rate after seizure-related discharge in a nationally representative sample, as well as patient, clinical, and hospital characteristics associated with readmission.

METHODS

Retrospective cohort study of adults discharged alive from a nonelective hospitalization for epilepsy or seizure, sampled from the Healthcare Cost and Utilization Project's 2014 Nationwide Readmissions Database. Descriptive statistics and logistic regression models were built to quantify and characterize nonelective readmission within 30 days.

RESULTS

A total of 139,800 admissions met inclusion criteria, of which 15,094 (10.8%) were readmitted within 30 days. Patient characteristics associated with readmission included comorbid disease burden (Elixhauser score 2: adjusted odds ratio [AOR] [95% confidence interval (CI)] 1.38 [1.21-1.57]; Elixhauser score 3: AOR 1.52 [1.34-1.73]; Elixhauser score >4: AOR 2.28 [2.01-2.58] as compared to 1) and participation in public insurance programs (Medicare: AOR 1.39 [1.26-1.54]; Medicaid: AOR 1.39 [1.26-1.54] as compared to private insurance). Adverse events (AOR 1.17 [1.05-1.30]) and prolonged length of stay, as well as nonroutine discharge (AOR 1.32 [1.23-1.42]), were also associated with increased adjusted odds of readmission. The most common primary reason for readmission was epilepsy or convulsion (17%).

CONCLUSIONS

Patients hospitalized with seizure are frequently readmitted. While readmitted patients are more likely to have multiple medical comorbidities, our study demonstrated that inpatient adverse events were also significantly associated with readmission. The most common reason for readmission was seizure or epilepsy. Together, these 2 findings suggest that a proportion of readmissions are related to modifiable care process factors and may therefore be avoidable. Further study into understanding preventable drivers of readmission in this population presents an opportunity to improve patient outcomes and health.

Pervasive Income-Based Disparities In Inpatient Bed-Day Rates Across Conditions And Subspecialties

Building a culture of health in hospitals means more than participating in community partnerships. It also requires an enhanced capacity to recognize and respond to disparities in utilization patterns across populations. We identified all pediatric hospitalizations at Cincinnati Children's Hospital Medical Center, in the period 2011-16. Each hospitalized child's address was geocoded, allowing us to calculate inpatient bed-day rates for each census tract in Hamilton County, Ohio, across all causes and for specific conditions and pediatric subspecialties. We then divided the census tracts into quintiles based on their underlying rates of child poverty and calculated bed-day rates per quintile. Poorer communities disproportionately bore the burden of pediatric hospital days. If children from all of the county's census tracts spent the same amount of time in the hospital each year as those from the most affluent tracts, approximately twenty-two child-years of hospitalization time would be prevented. Of particular note were "hot spots" in high-poverty census tracts neighboring the hospital, where bed-day rates were more than double the county average. Hospitals that address disparities would benefit from a more comprehensive understanding of the culture of health-a culture that is more cohesive inside the hospital and builds bridges into the community.

Annual Report on Health Care for Children and Youth in the United States: Focus on 30-Day Unplanned Inpatient Readmissions, 2009 to 2014

OBJECTIVE

To describe trends in unplanned 30-day all-condition hospital readmissions for children aged 1 to 17 years between 2009 and 2014.

METHODS

Analysis was conducted with the 2009-14 Nationwide Readmissions Database from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project. Annual hospital readmission rates, resource use, and the most common reasons for readmission were calculated for the 2009-14 period.

RESULTS

The rate of readmission for children aged 1 to 17 years was essentially stable between 2009 and 2014 (5.5% in 2009 and 5.9% in 2014). In 2009, the most common reason (principal diagnosis) for readmission was sickle cell anemia, whereas in 2014 the most common reason was epilepsy. Pneumonia fell from the second to the sixth most common reason for readmission over this period (from 3832 to 2418 stays). Other respiratory infections were among the top 10 principal readmission diagnoses in 2009, but not in 2014. Septicemia was among the 10 most common reasons for readmission in 2014, but not in 2009. Although the average cost of index (ie, initial) stays with a subsequent readmission were similar in 2009 and 2014, the average cost of index stays without a readmission and cost of readmission stays increased by approximately 23%. In both 2009 and 2014, the average cost of the index stays with a subsequent readmission was 73% to 89% higher than that of the index stays of children who were not readmitted within 30 days. The average cost of index stays preceding a readmission was 33% to 45% higher than average costs for readmitted stays. In 2014, the aggregate cost of index stays plus readmissions was $1.58 billion, with 42.9% of the costs attributable to readmissions. Regarding the average costs and lengths of stay for the 10 most common readmission diagnoses, in 2009 the average cost per stay for complications of devices, implants, or grafts was nearly 5 times greater than that of asthma ($21,200 vs $4500, respectively). In 2014, average cost per stay ranged from $5500 for asthma to $39,500 for septicemia. In 2009, the average length of stay (LOS) for complications of devices, implants, or grafts was more than 3 three times higher than that for asthma (7.8 days vs 2.5 days, respectively), and in 2014, the average LOS for septicemia was nearly 4 times higher than that for asthma (10.4 days vs. 2.6 days).

CONCLUSIONS

This study provides a baseline assessment for examining trends in 30-day unplanned pediatric readmissions, an important quality metric as the provisions of the Children's Health Insurance Program Reauthorization Act and the Affordable Care Act are changed and implemented in the future. More than 50,000 pediatric hospital stays in 2014 occurred within 30 days of a previous hospitalization, with an average cost of $13,800. This report is timely, as the health care system works to become more patient-centered and public and private payers grapple with how to pay for quality care for children. The report provides baseline information that can be used to further explore ways to reduce unplanned readmissions.

Timing and Causes of Common Pediatric Readmissions

OBJECTIVE

To evaluate and compare readmission causes and timing within the first 30 days after hospitalization for 3 acute and 3 chronic common pediatric conditions.

STUDY DESIGN

Data from the 2013 to 2014 Nationwide Readmissions Database were used to examine the daily percentage of readmissions occurring on days 1-30 and the leading causes of readmission after hospitalization for 3 acute (appendicitis, bronchiolitis/croup, and gastroenteritis) and 3 chronic (asthma, epilepsy, and sickle cell) conditions for patients aged 1-17 years (n = 2 753 488). Data were analyzed using Cox proportional hazards regression.

RESULTS

The 30-day readmission rates ranged from 2.6% (SE, 0.1) after hospitalizations for appendectomy to 19.1% (SE, 0.5) after hospitalizations for sickle cell anemia. More than 50% of 30-day readmissions after acute conditions occurred within 15 days after discharge, whereas readmissions after chronic conditions occurred more uniformly throughout the 30 days after discharge. Higher numbers of patient comorbidities were associated with increased risk of readmission at days 1-7, 8-15, and 16-30 after discharge for all conditions examined. Most 30-day readmissions after chronic conditions were for the same diagnosis or closely related conditions as the index admission (67% for asthma, 65% for seizure disorder, and 82% for sickle cell anemia) in contrast with 50% or fewer readmissions after acute conditions (46% for appendectomy, 47% for bronchiolitis/croup, and 19% for gastroenteritis).

CONCLUSIONS

The timing and causes of pediatric readmissions vary greatly across pediatric conditions. To be effective, strategies for reducing readmissions need to account for the index diagnosis to better target the highest risk period and causes for readmission.

Discharge Criteria for Bronchiolitis: An Unmet Need

BACKGROUND

Admission criteria and standardized management strategies for bronchiolitis are addressed in several guidelines and have shown to be beneficial; however, guidance regarding discharge criteria is limited and widely variable. We assessed the impact on clinical outcomes of a discharge protocol for children <2 years of age hospitalized with bronchiolitis in a tertiary care pediatric hospital.

METHODS

In October 2013, a protocol to standardize the discharge of children with bronchiolitis was implemented in the infectious diseases (ID) ward but not in other pediatric units caring for these children (non-ID). The protocol included objective clinical criteria and a standardized oxygen weaning pathway. Patients were identified via International Classification of Diseases-9 codes and data manually reviewed. We compared length of stay (LOS) and readmission rates within 2 weeks of discharge according to protocol implementation (ID versus non-ID), adjusted for demographic factors, comorbidities, viral etiology and stratified by pediatric intensive care unit admission.

RESULTS

From October 2013 to May 2015, 1118 children were hospitalized in ID and 695 in non-ID units. Median age was 4.5 months, 55% were males and 28% had comorbidities. LOS was 36% longer in non-ID units (risk ratio: 1.36 [1.27-1.45]; P < 0.001) adjusted for age, gender, comorbidities and viral etiology. Difference in LOS remained significant after excluding children with comorbidities and stratifying by pediatric intensive care unit admission. Readmission rates were comparable between units (ID, 2.9% versus non-ID, 2.6%).

CONCLUSIONS

A standardized discharge protocol for bronchiolitis reduced LOS without increasing readmission rates. Unifying bronchiolitis discharge criteria and oxygen weaning pathways could positively impact hospital-based patient care for this condition.

Implementation of a Prehospital Protocol Change For Asthmatic Children

BACKGROUND

Respiratory distress due to asthma is a common reason for pediatric emergency medical services (EMS) transports. Timely initiation of asthma treatment, including glucocorticoids, improves hospital outcomes. The impact of EMS-administered glucocorticoids on hospital-based outcomes for pediatric asthma patients is unknown.

OBJECTIVE

The objective of this study was to evaluate the effect of an evidence-based pediatric EMS asthma protocol update, inclusive of oral glucocorticoid administration, on time to hospital discharge.

METHODS

This was a retrospective cohort study of children (2-18 years) with an acute asthma exacerbation transported by an urban EMS system to 10 emergency departments over 2 years. The investigators implemented an EMS protocol update one year into the study period requiring glucocorticoid administration for all patients, with the major change being inclusion of oral dexamethasone (0.6 mg/kg, max. dose = 10 mg). Protocol implementation included mandatory paramedic training. Data was abstracted from linked prehospital and hospital records. Continuous data were compared before and after the protocol change with the Mann-Whitney test, and categorical data were compared with the Pearson χ² test.

RESULTS

During the study period, 482 asthmatic children met inclusion criteria. After the protocol change, patients were more likely to receive a prehospital glucocorticoid (11% vs. 18%, p = 0.02). Median total hospital time after the protocol change decreased from 6.1 hours (95% CI: 5.4-6.8) to 4.5 hours (95% CI: 4.2-4.8), p < 0.001. Total care time, defined as time from ambulance arrival to hospital discharge, also decreased [6.6 hours (95% CI: 5.8-7.3) vs. 5.2 hours (95% CI: 4.8-5.6), p = 0.01]. Overall, patients were less likely to be admitted to the hospital (30% vs. 21%, p = 0.02) after the change. Those with more severe exacerbations were less likely to be admitted to a critical care unit (82% vs. 44%, p = 0.02) after the change, rather than an acute care floor.

CONCLUSIONS

Prehospital protocol change for asthmatic children is associated with shorter total hospital and total care times. This protocol change was also associated with decreased hospitalization rates and less need for critical care in those hospitalized. Further study is necessary to determine if other factors also contributed.

Using Length of Stay to Understand Patient Flow for Pediatric Inpatients

Objectives:

Develop and test a new metric to assess meaningful variability in inpatient flow.

Methods:

Using the pediatric administrative dataset, Pediatric Health Information System, that quantifies the length of stay (LOS) in hours, all inpatient and observation encounters with 21 common diagnoses were included from the calendar year 2013 in 38 pediatric hospitals. Two mutually exclusive composite groups based on diagnosis and presence or absence of an ICU hospitalization termed Acute Care Composite (ACC) and ICU Composite (ICUC), respectively, were created. These composites consisted of an observed-to-expected (O/E) LOS as well as an excess LOS percentage (ie, the percent of day beyond expected). Seven-day all-cause risk-adjusted rehospitalizations was used as a balancing measure. The combination of the ACC, the ICUC, and the rehospitalization measures forms this new metric.

Results:

The diagnosis groups in the ACC and the ICUC included 113,768 and 38,400 hospitalizations, respectively. The ACC had a median O/E LOS of 1.0, a median excess LOS percentage of 23.9% and a rehospitalization rate of 1.7%. The ICUC had a median O/E LOS of 1.1, a median excess LOS percentage of 32.3%, and rehospitalization rate of 4.9%. There was no relationship of O/E LOS and rehospitalization for either ACC or ICUC.

Conclusions:

This metric shows variation among hospitals and could allow a pediatric hospital to assess the performance of inpatient flow.

Care Variations and Outcomes for Children Hospitalized With Bacterial Tracheostomy-Associated Respiratory Infections

OBJECTIVES

Identify hospital-level care variations and association with length of stay (LOS) and hospital revisit in children with tracheostomies hospitalized for bacterial respiratory tract infections (bRTIs).

METHODS

A multicenter, retrospective cohort study that used the Pediatric Health Information System database between 2007 and 2014 of patients with tracheostomies aged ≤18 years with a primary diagnosis of bRTI (eg, tracheitis) or a primary diagnosis of a bRTI symptom (eg, cough) and a secondary diagnosis of bRTI. Primary outcomes were LOS and 30-day all-cause revisit rates. Secondary outcomes included hospital-level diagnostic testing and anti-Pseudomonas antibiotic use. We used mixed-effects negative binomial (for LOS) and logistic (for revisit) regression to explore the relationship between hospital-level diagnostic test utilization and the outcomes.

RESULTS

Data representing 4137 unique patients with a median age of 3 years (interquartile range: 1-9 years) were included. Median LOS was 4 days (interquartile range: 3-8 days), and the 30-day revisit rate was 24.9%. Use of diagnostic testing and empirical anti-Pseudomonas antibiotics varied significantly among hospitals (all P values <.001). After adjusting for patient and hospital characteristics, compared with low test utilization hospitals, there were no differences in 30-day all-cause revisit rates in moderate (adjusted odds ratio: 1.19; 95% confidence interval [CI]: 0.93-1.52) or high (adjusted odds ratio: 1.07; 95% CI: 0.82-1.39) utilization hospitals. LOS in hospitals with moderate (% difference: -0.8%; 95% CI: -14.4-14.9%) or high (% difference: 13.9%; 95% CI: -0.7-30.6%) test utilization was not significantly longer.

CONCLUSIONS

Given that care variations were not associated with outcomes, future research should focus on standardizing diagnosis and treatment of bRTIs and readmission prevention in this population.

Trends in infective endocarditis hospitalisations at United States children's hospitals from 2003 to 2014: impact of the 2007 American Heart Association antibiotic prophylaxis guidelines

OBJECTIVE

National organisations in several countries have recently released more restrictive guidelines for infective endocarditis prophylaxis, including the American Heart Association 2007 guidelines. Initial studies demonstrated no change in infective endocarditis rates over time; however, a recent United Kingdom study suggested an increase; current paediatric trends are unknown.

METHODS

Children (5 years of age. Interrupted time series analysis was used to evaluate rates over time indexed to total hospitalisations.

RESULTS

A total of 841 cases were identified. The median age was 13 years (interquartile range 9-15 years). In the pre-guideline period, there was a slight increase in the rate of infective endocarditis by 0.13 cases/10,000 hospitalisations per semi-annual period. In the post-guideline period, the rate of infective endocarditis increased by 0.12 cases/10,000 hospitalisations per semi-annual period. There was no significant difference in the rate of change in the pre- versus post-guidelines period (p=0.895). Secondary analyses in children >5 years of age with CHD and in children hospitalised with any type of infective endocarditis at any age revealed similar results.

CONCLUSIONS

We found no significant change in infective endocarditis hospitalisation rates associated with revised prophylaxis guidelines over 11 years across 29 United States children's hospitals.

Length of paediatric inpatient stay, socio-economic status and hospital configuration: a retrospective cohort study

BACKGROUND

Variation in paediatric inpatient length of stay exists - whether this is driven by differences in patient characteristics or health service delivery is unclear. We will test the hypotheses that higher levels of deprivation are associated with prolonged length of stay and that differences in prolonged length of stay across 2 hospitals will be explained by demographic, clinical and process factors.

METHODS

This is a retrospective cohort study of 2889 children aged less than 16 years admitted from 1st April 2009 to 30^th March 2010. Administrative data were used from two UK hospitals whose Accident and Emergency (A&E) departments were paediatric and adult physician led respectively. The main outcome was prolonged length of stay defined as greater than or equal to the mean (1.8 days). Sensitivity analyses defined prolonged length of stay as greater than the median (1 day). Demographic, clinical and process characteristics were examined. Socio-economic position was measured by Income Deprivation Affecting Children Index. Multivariable logistic and linear regression analyses were performed.

RESULTS

We did not find a consistent association between length of stay and socio-economic position, using a variety of definitions of length of stay. In contrast, adjusted for age, gender, socio-economic position, ethnicity, final diagnosis, number of hospital admissions, source of admission, and timing of admission, admission to the adult led A&E hospital was more strongly associated with prolonged length of stay (Odds Ratio 1.41, 95% Confidence Interval 1.16, 1.71).

CONCLUSION

Local variation in paediatric inpatient length of stay was not explained by demographic, clinical or process factors, but could have been due to residual confounding by medical complexity. Length of stay was not consistently associated with socio-economic position suggesting that length of stay is a function of health service not the determinants of health. Analyses of these types of data would be strengthened by measures of complexity and adverse events.

Thirty-days readmissions in pediatric surgery: The first U.K. experience

INTRODUCTION

The aim of this study was to investigate readmissions within 30days of operation (ReAd) in the setting of a tertiary pediatric surgical practice in the UK.

METHODS

Using Hospital Episode Statistics, cases that were readmitted within 30days of primary operation were identified retrospectively. Demographics including age, gender, preexisting comorbidities, diagnosis on primary admission and the treatment, length of stay, and diagnosis on readmission with treatment, including further surgical intervention, were collected from discharge summaries and hospital notes. Neonates were excluded from this study. Comorbidities, involving one or more systems, were also identified for each case of readmission. ReAds were classified into emergency and elective cohort depending on the nature of the primary operation. Outcomes were compared between these two groups. Data were quoted as median (range) unless indicated otherwise. Data were analyzed using SPSS software Desktop 22.0, using Mann-Whitney U and Chi-Squared tests, with a consideration that a P≤0.05 was significant.

RESULTS

A total of 2378 procedures were performed during the study period. Elective cases, including day cases, accounted for 77% (n=1837) of all cases. The remaining 23% (n=541) were emergency cases. Total unplanned readmission rate within 30days (ReAd) was 2%. Further surgical procedures were required in 38%. Having excluded neonates, the most common primary procedure leading to readmission within 30days was appendicectomy (26%). Overall, the most common cause for readmission within 30days was postoperative infection (30%). The ReAd in emergency cohort was 3.5% in comparison to 1.5% in elective, which was significantly different (P value=0.007).

CONCLUSION

Readmission within thirty days of primary procedure in pediatric surgery has little published data. An efficient discharge planning may play a vital role in preventing unwanted readmission. Elective operations had a significantly lower readmission rate than emergency operations. Having excluded neonates, appendicectomy was found to be the most common operation associated with readmission in the pediatric surgical practice. Although widely used as quality care indicator in adults, more studies are required to validate readmission rate as a quality of care indicator in pediatric surgery practice.

Roles of disease severity and post-discharge outpatient visits as predictors of hospital readmissions

Background

Risks prediction models of 30-day all-cause hospital readmissions are multi-factorial. Severity of illness (SOI) and risk of mortality (ROM) categorized by All Patient Refined Diagnosis Related Groups (APR-DRG) seem to predict hospital readmission but lack large sample validation. Effects of risk reduction interventions including providing post-discharge outpatient visits remain uncertain. We aim to determine the accuracy of using SOI and ROM to predict readmission and further investigate the role of outpatient visits in association with hospital readmission.

Methods

Hospital readmission data were reviewed retrospectively from September 2012 through June 2015. Patient demographics and clinical variables including insurance type, homeless status, substance abuse, psychiatric problems, length of stay, SOI, ROM, ICD-10 diagnoses and medications prescribed at discharge, and prescription ratio at discharge (number of medications prescribed divided by number of ICD-10 diagnoses) were analyzed using logistic regression. Relationships among SOI, type of hospital visits, time between hospital visits, and readmissions were also investigated.

Results

A total of 6011 readmissions occurred from 55,532 index admissions. The adjusted odds ratios of SOI and ROM predicting readmissions were 1.31 (SOI: 95 % CI 1.25–1.38) and 1.09 (ROM: 95 % CI 1.05–1.14) separately. Ninety percent (5381/6011) of patients were readmitted from the Emergency Department (ED) or Urgent Care Center (UCC). Average time interval from index discharge date to ED/UCC visit was 9 days in both the no readmission and readmission groups (p > 0.05). Similar hospital readmission rates were noted during the first 10 days from index discharge regardless of whether post-index discharge patient clinic visits occurred when time-to-event analysis was performed.

Conclusions

SOI and ROM significantly predict hospital readmission risk in general. Most readmissions occurred among patients presenting for ED/UCC visits after index discharge. Simply providing early post-discharge follow-up clinic visits does not seem to prevent hospital readmissions.

Risk factors associated with 30-day asthma readmissions

OBJECTIVES

Assess factors that increase the odds of 30-day asthma readmissions to hospitals.

METHODS

Retrospective chart review between 1/1/2002 to 12/31/2012 of pediatric and adult patients with the primary diagnosis of asthma readmitted within 30 days after the index admission was performed. Patients were identified from billing database for asthma ICD 9 code (493.9). Inclusion criteria were: physician confirmed asthma diagnosis, one or more asthma admissions and accessible medical records.

RESULTS

A total of 95 patients with multiple asthma readmissions were included in the final analysis. Thirty-seven patients (39%) were readmitted for asthma within 30 days and 58 patients (61%) had readmission in a 30-365-day period. Demographic characteristics were not significantly different between groups. Bivariate analysis showed that factors associated with higher likelihood of readmissions were a higher frequency of previous admissions, ED visits, inpatient hospitalizations, ICU stays, intubations, chest X-rays, history of chronic sinusitis, gastroesophageal reflux disease, anxiety, and the use of tiotropium or a long-acting beta-agonist (LABA). Multivariable analysis confirmed that prior hospital admissions and a history of GERD are the strongest predictive factors for early asthma readmissions, yet a history of environmental allergies might be a protective factor (p = 0.053).

CONCLUSIONS

Non-allergic asthma patients with multiple prior admissions, ED visits and inpatient hospitalizations, on multiple medications with history of GERD, sinusitis, and anxiety are more likely to be readmitted within 30 days irrespective of other factors. Patients with these characteristics should be assessed for interventions in an effort to reduce early readmissions.

Acute Appendicitis: Use of Clinical and CT Findings for Modeling Hospital Resource Utilization

OBJECTIVE

The purpose of this study was to retrospectively investigate associations between baseline CT findings in suspected acute appendicitis and subsequent hospital resource utilization.

MATERIALS AND METHODS

One hundred thirty-eight patients (76 male and 62 female patients; mean [± SD] age, 40 ± 21 years) who were admitted for suspected acute appendicitis and underwent baseline CT were included. A single radiologist reviewed CT examinations for appendiceal-related findings. Linear and logistic regressions were performed to identify independent predictors of payer and hospital resource utilization. Combined performance of identified independent factors for predicting outcomes was determined.

RESULTS

Greater age, lower Charlson comorbidity index (CCI), lesser appendiceal wall thickness, absence of loculated fluid collection, and absence of periappendiceal fluid were significant independent predictors of inpatient surgery (joint sensitivity, 92.7%; specificity, 65.8%). Smaller appendiceal diameter, absence of periappendiceal fluid, and laparoscopic surgery were significant independent predictors of same-day discharge (joint sensitivity, 79.1%; specificity, 64.2%). Greater CCI, greater wall thickness, and presence of periappendiceal fluid were significant independent predictors of repeat abdominopelvic CT (joint sensitivity, 82.5%; specificity, 68.1%). Presence of an appendicolith was the only significant predictor of repeat emergency department visit within 30 days (sensitivity, 61.2%; specificity, 68.8%) and the only significant predictor of repeat inpatient admission within 30 days (sensitivity, 63.6%; specificity, 68.5%). Greater appendiceal diameter and presence of free air were significant predictors of inpatient costs, and predicted costs were as follows: $8047 + ($745 × appendiceal diameter) if free air was absent; and $-39,261 + ($4426 × appendiceal diameter) if free air was present. However, costs were poorly predicted when greater than $45,000. Sex, WBC count, and payer category were not independent predictors, relative to CT findings, of any outcome.

CONCLUSION

Admission CT findings serve as independent predictors of hospital resource utilization in suspected acute appendicitis.

Hospitalization for Community-Acquired Pneumonia in Children: Effect of an Asthma Codiagnosis

BACKGROUND AND OBJECTIVE

Community-acquired pneumonia (CAP) is a common and expensive cause of hospitalization among US children, many of whom receive a codiagnosis of acute asthma. The objective of this study was to describe demographic characteristics, cost, length of stay (LOS), and adherence to clinical guidelines among these groups and to compare health care utilization and guideline adherence between them.

METHODS

This was a multicenter retrospective cohort study using data from the Pediatric Health Information System. Children aged 2 to 18 who were hospitalized with uncomplicated CAP from July 1, 2007, to June 30, 2012 were included. Demographics, LOS, total standardized cost, and clinical guideline adherence were compared between patients with CAP only and CAP plus acute asthma.

RESULTS

Among the 25,124 admissions, 57% were diagnosed with CAP only; 43% had a codiagnosis of acute asthma. The geometric mean for standardized cost was $4830; for LOS, it was 2.01 days. Eighty-four percent of patients had chest radiographs; CAP+acute asthma patients were less likely to have a blood culture performed (36% vs 62%, respectively) and more likely not to have a complete blood count performed (49% vs 27%, respectively). Greater guideline adherence was associated with higher cost at the patient-level but lower average cost per hospitalization at the hospital level. CAP+acute asthma patients had higher relative costs (11.8%) and LOS (5.6%) within hospitals and had more cost variation across hospitals, compared with patients with CAP only.

CONCLUSIONS

A codiagnosis of acute asthma is common for children with CAP. This could be from misdiagnosis or co-occurrence. Diagnostic and/or management variability appears to be greater in patients with CAP+asthma, which may increase resource utilization and LOS for these patients.

Hospital course and discharge criteria for children hospitalized with bronchiolitis

BACKGROUND

For children hospitalized with bronchiolitis, there is uncertainty about the expected inpatient clinical course and when children are safe for discharge.

OBJECTIVES

Examine the time to clinical improvement, risk of clinical worsening after improvement, and develop discharge criteria.

DESIGN

Prospective multiyear cohort study.

SETTING

Sixteen US hospitals.

PARTICIPANTS

Consecutive hospitalized children age <2 years with bronchiolitis.

MEASUREMENT

We defined clinical improvement using: (1) retraction severity, (2) respiratory rate, (3) room air oxygen saturation, and (4) hydration status. After meeting improvement criteria, children were considered clinically worse based on the inverse of ≥1 of these criteria or need for intensive care.

RESULTS

Among 1916 children, the median number of days from onset of difficulty breathing until clinical improvement was 4 (interquartile range, 3-7.5 days). Of the total, 1702 (88%) met clinical improvement criteria, with 4% worsening (3% required intensive care). Children who worsened were age <2 months (adjusted odds ratio [AOR]: 3.51; 95% confidence interval [CI]: 2.07-5.94), gestational age <37 weeks (AOR: 1.94; 95% CI: 1.13-3.32), and presented with severe retractions (AOR: 5.55; 95% CI: 2.12-14.50), inadequate oral intake (AOR: 2.54; 95% CI: 1.39-4.62), or apnea (AOR: 2.87; 95% CI: 1.45-5.68). Readmissions were similar for children who did and did not worsen.

CONCLUSIONS

Although children hospitalized with bronchiolitis had wide-ranging recovery times, only 4% worsened after initial improvement. Children who worsened were more likely to be younger, premature infants presenting in more severe distress. For children hospitalized with bronchiolitis, these data may help establish more evidence-based discharge criteria, reduce practice variability, and safely shorten hospital length-of-stay.

Variability in noncardiac surgical procedures in children with congenital heart disease

BACKGROUND

The purpose of this study was to examine the volume and variability of noncardiac surgeries performed in children with congenital heart disease (CHD) requiring cardiac surgery in the first year of life.

METHODS

Patients who underwent cardiac surgery by 1 year of age and had a minimum 5-year follow-up at 22 of the hospitals contributing to the Pediatric Health Information System database between 2004 and 2012 were included. Frequencies of noncardiac surgical procedures by age 5 years were determined and categorized by subspecialty. Patients were stratified according to their maximum RACHS-1 (Risk Adjustment in Congenital Heart Surgery) category. The proportions of patients across hospitals who had a noncardiac surgical procedure for each subspecialty were compared using logistic mixed effects models.

RESULTS

8857 patients underwent congenital heart surgery during the first year of life, 3621 (41%) of whom had 13,894 noncardiac surgical procedures by 5 years. Over half of all procedures were in general surgery (4432; 31.9%) or otolaryngology (4002; 28.8%). There was significant variation among hospitals in the proportion of CHD patients having noncardiac surgical procedures. Compared to children in the low risk group (RACHS-1 categories 1-3), children in the high-risk group (categories 4-6) were more likely to have general, dental, orthopedic, and thoracic procedures.

CONCLUSIONS

Children with CHD requiring cardiac surgery frequently also undergo noncardiac surgical procedures; however, considerable variability in the frequency of these procedures exists across hospitals. This suggests a lack of uniformity in indications used for surgical intervention. Further research should aim to better standardize care for this complex patient population.

Multicenter study of viral etiology and relapse in hospitalized children with bronchiolitis

BACKGROUND

It is unclear whether the infectious etiology of severe bronchiolitis affects short-term outcomes, such as posthospitalization relapse. We tested the hypothesis that children hospitalized with rhinovirus (RV) bronchiolitis, either as a sole pathogen or in combination with respiratory syncytial virus (RSV), are at increased risk of relapse.

METHODS

We performed a 16-center, prospective cohort study of hospitalized children age <2 years with bronchiolitis. During the winters of 2007-2010, researchers collected clinical data and nasopharyngeal aspirates from study participants; the aspirates were tested using real-time polymerase chain reaction. The primary outcome was bronchiolitis relapse (urgent bronchiolitis visit or scheduled visit at which additions to the bronchiolitis medications were made) during the 2 weeks after hospital discharge.

RESULTS

Among 1836 enrolled children with 2-week, follow-up data, the median age was 4 months and 60% were male. Overall, 48% had sole RSV infection, 8% had sole RV infection, and 13% had RSV/RV coinfection. Compared with children with sole RSV infection, and adjusting for 10 demographic and clinical characteristics and clustering of patients within hospitals, children with sole RV infection did not differ in their likelihood of relapse (odds ratio: 0.99; 95% confidence interval: 0.52-1.90; P = 0.98), whereas those with RSV/RV coinfection were more likely to have relapse (odds ratio: 1.54; 95% confidence interval: 1.03-2.30; P = 0.03).

CONCLUSIONS

In this prospective, multicenter, multiyear study of children hospitalized with bronchiolitis, we found that RSV/RV coinfection was independently associated with a higher likelihood of bronchiolitis relapse. Present data support the concept that the infectious etiology of severe bronchiolitis affects short-term outcomes.