Factors associated with interhospital transfer of children with respiratory failure from level II to level I pediatric intensive care units

Descriptive statistics and risk factor analysis of children with community-acquired septic shock

BACKGROUND

Children with community-acquired septic shock can rapidly deteriorate and die in acute-care hospitals. This study aimed to describe the mortality, timing, and risk factors in children with community-acquired septic shock.

METHODS

This is a retrospective cohort study using a national inpatient database in Japan. The study population included children (age < 20 years) who were admitted to acute-care hospitals with a diagnosis of sepsis from July 2010 to March 2020, who were treated with antibiotics, and who were supported with vasoactive drugs within three days of hospitalization. We used a Cox proportional-hazards regression model to identify risk factors for earlier death.

RESULTS

Among 761 eligible children, the median age was 3 (interquartile range, 0-11) years and 57.2% had underlying conditions. Among these, 67.1% were admitted to accredited intensive care units within three days of hospitalization and 38.6% were transported from other hospitals. The median hospital volume, defined as the number of eligible children in each hospital over the study period, was 4 (interquartile range, 2-11). Overall, 244 children died (in-hospital mortality rate, 32.1%). Among them, 77 (31.6%) died on the first day, and 156 (63.9%) died within three days of hospitalization. A Cox proportional-hazards regression model showed that earlier death was associated with lower hospital volume and age 1-5 years, whereas it was inversely associated with admission to an accredited intensive care unit and transport from other hospitals. Among 517 survivors, 178 (34.4%) were discharged with comorbidities.

CONCLUSIONS

Children with community-acquired septic shock had high mortality, and early death was common. Our findings may warrant future efforts to enhance the quality of initial resuscitation for sepsis in low-volume hospitals and to ensure a healthcare system in which children with sepsis can be treated in accredited intensive care units.

Interhospital transfer of pediatric patients with malignant brain tumor not associated with increased mortality, but safe routine discharge

OBJECTIVE

Interhospital transfer (IHT) to obtain a higher level of care for pediatric patients requiring neurosurgical interventions is common. Pediatric patients with malignant brain tumors often require subspecialty care commonly provided at specialized centers. The authors aimed to assess the impact of IHT in pediatric neurosurgical patients with malignant brain tumors to identify areas of improvement in treatment of this patient population.

METHODS

Pediatric patients (age < 19 years) with malignant primary brain tumors undergoing craniotomy for resection between 2010 and 2018 were retrospectively identified in the Nationwide Readmissions Database. Patient and hospital data for each index admission provided by the Nationwide Readmissions Database was analyzed by univariate and multivariate analyses. Further analysis evaluated association of IHT on specific patient- or hospital-related characteristics.

RESULTS

In a total of 2279 nonelective admissions for malignant brain tumors in pediatric patients, the authors found only 132 patients (5.8%) who underwent IHT for a higher level of care. There is an increased likelihood of transfer when a patient is younger (< 7 years old, p = 0.006) or the disease process is more severe, as characterized by higher pediatric complex chronic conditions (p = 0.0004) and increased all patient refined diagnosis-related group mortality index (p = 0.02). Patients who are transferred (OR 1.87, 95% CI 1.04-3.35; p = 0.04) and patients who are treated at pediatric centers (OR 6.89, 95% CI 4.23-11.22; p < 0.0001) are more likely to have a routine discharge home. On multivariate analysis, transfer status was not associated with a longer length of stay (incident rate ratio 1.04, 95% CI 0.94-1.16; p = 0.5) or greater overall costs per patient ($20,947.58, 95% CI -$35,078.80 to $76,974.00; p = 0.50). Additionally, IHT is not associated with increased likelihood of death or major complication.

CONCLUSIONS

IHT has a significant role in the outcome of pediatric patients with malignant brain tumors. Transfer of this patient population to hospitals providing subspecialized care results in a higher level of care without a significant burden on overall costs, risks, or mortality.

Characteristics and related factors of emergency department visits, readmission, and hospital transfers of inpatients under a DRG-based payment system: A nationwide cohort study

Objectives

Taiwan has implemented the Diagnosis Related Groups (DRGs) since 2010, and the quality of care under the DRG-Based Payment System is concerned. This study aimed to examine the characteristics, related factors, and time distribution of emergency department (ED) visits, readmission, and hospital transfers of inpatients under the DRG-Based Payment System for each Major Diagnostic Category (MDC).

Methods

We conducted a retrospective cohort study using data from the National Health Insurance Research Database (NHIRD) from 2012 to 2013 in Taiwan. Multilevel logistic regression analysis was used to examine the factors related to ED visits, readmissions, and hospital transfers of patients under the DRG-Based Payment System.

Results

In this study, 103,779 inpatients were under the DRG-Based Payment System. Among these inpatients, 4.66% visited the ED within 14 days after their discharge. The factors associated with the increased risk of ED visits within 14 days included age, lower monthly salary, urbanization of residence area, comorbidity index, MDCs, and hospital ownership (p < 0.05). In terms of MDCs, Diseases and Disorders of the Kidney and Urinary Tract (MDC11) conferred the highest risk of ED visits within 14 days (OR = 4.95, 95% CI: 2.69–9.10). Of the inpatients, 6.97% were readmitted within 30 days. The factors associated with the increased risk of readmission included gender, age, lower monthly salary, comorbidity index, MDCs, and hospital ownership (p < 0.05). In terms of MDCs, the inpatients with Pregnancy, Childbirth and the Puerperium (MDC14) had the highest risk of readmission within 30 days (OR = 20.43, 95% CI: 13.32–31.34). Among the inpatients readmitted within 30 days, 75.05% of them were readmitted within 14 days. Only 0.16% of the inpatients were transferred to other hospitals.

Conclusion

The study shows a significant correlation between Major Diagnostic Categories in surgery and ED visits, readmission, and hospital transfers. The results suggested that the main reasons for the high risk may need further investigation for MDCs in ED visits, readmissions, and hospital transfers.

Growth and Changing Characteristics of Pediatric Intensive Care 2001-2016

OBJECTIVES

We assessed the growth, distribution, and characteristics of pediatric intensive care in 2016.

DESIGN

Hospitals with PICUs were identified from prior surveys, databases, online searching, and clinician networking. A structured web-based survey was distributed in 2016 and compared with responses in a 2001 survey.

SETTING

PICUs were defined as a separate unit, specifically for the treatment of children with life-threatening conditions. PICU hospitals contained greater than or equal to 1 PICU.

SUBJECTS

Physician medical directors and nurse managers.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

PICU beds per pediatric population (< 18 yr), PICU bed distribution by state and region, and PICU characteristics and their relationship with PICU beds were measured. Between 2001 and 2016, the U.S. pediatric population grew 1.9% to greater than 73.6 million children, and PICU hospitals decreased 0.9% from 347 to 344 (58 closed, 55 opened). In contrast, PICU bed numbers increased 43% (4,135 to 5,908 beds); the median PICU beds per PICU hospital rose from 9 to 12 (interquartile range 8, 20 beds). PICU hospitals with greater than or equal to 15 beds in 2001 had significant bed growth by 2016, whereas PICU hospitals with less than 15 beds experienced little average growth. In 2016, there were eight PICU beds per 100,000 U.S. children (5.7 in 2001), with U.S. census region differences in bed availability (6.8 to 8.8 beds/100,000 children). Sixty-three PICU hospitals (18%) accounted for 47% of PICU beds. Specialized PICUs were available in 59 hospitals (17.2%), 48 were cardiac (129% growth). Academic affiliation, extracorporeal membrane oxygenation availability, and 24-hour in-hospital intensivist staffing increased with PICU beds per hospital.

CONCLUSIONS

U.S. PICU bed growth exceeded pediatric population growth over 15 years with a relatively small percentage of PICU hospitals containing almost half of all PICU beds. PICU bed availability is variable across U.S. states and regions, potentially influencing access to care and emergency preparedness.

Transfer hospitalizations for pediatric severe sepsis or septic shock: resource use and outcomes

BACKGROUND

Sepsis is a major cause of child mortality and morbidity. To enhance outcomes, children with severe sepsis or septic shock often require escalated care for organ support, sometimes necessitating interhospital transfer. The association between transfer admission for the care of pediatric severe sepsis or septic shock and in-hospital patient survival and resource use is poorly understood.

METHODS

Retrospective study of children 0-20 years old hospitalized for severe sepsis or septic shock, using the 2012 Kids' Inpatient Database. After descriptive and bivariate analysis, multivariate regression methods assessed the independent relationship between transfer status and outcomes of in-hospital mortality, duration of hospitalization, and hospital charges, after adjustment for potential confounders including illness severity.

RESULTS

Of an estimated 11,922 hospitalizations (with transfer information) for pediatric severe sepsis and septic shock nationally in 2012, 25% were transferred, most often to urban teaching hospitals. Compared to non-transferred children, transferred children were younger, and had a higher frequency of extreme illness severity (84% vs. 75%, p < .01), and of multiple organ dysfunction (32% vs. 24%, p < .01). They also had higher use of invasive medical devices including arterial catheters, invasive mechanical ventilation, and central venous catheters; and of specialized technology, including renal replacement therapy (6.2% vs. 4.6%, p < .01) and extracorporeal membrane oxygenation (5.7% vs. 1.8%, p < .01). Transferred children had longer hospitalization and accrued higher charges than non-transferred children (p < .01). Crude mortality was higher among transferred than non-transferred children (21.4% vs.15.0%, p < .01), a difference no longer statistically significant after multivariate adjustment for potential confounders (Odds Ratio:1.04, 95% Confidence interval: 0.88-1.24). Similarly, adjusted length of hospital stay and hospital charges were not statistically different by transfer status.

CONCLUSION

One in four children with severe sepsis or septic shock required interhospital transfer for specialized care associated with greater use of invasive medical devices and specialized technology. Despite higher crude mortality and resource consumption among transferred children, adjusted mortality and resource use did not differ by transfer status. Further research should identify quality-of-care factors at the receiving hospitals that influence clinical outcomes and resource use.

An Innovative Framework to Improve Efficiency of Interhospital Transfer of Children in Respiratory Failure

RATIONALE

High mortality and resource use burden are associated with hospitalization of critically ill children transferred from level II pediatric intensive care units (PICUs) to level I PICUs for escalated care. Guidelines urge transfer of the most severely ill children to level I PICUs without specification of either the criteria or the best timing of transfer to achieve good outcomes.

OBJECTIVES

To identify factors associated with transfer, develop a modeling framework that uses those factors to determine thresholds to guide transfer decisions, and test these thresholds against actual patient transfer data to determine if delay in transfer could be reduced.

METHODS

A multistep approach was adopted, with initial identification of factors associated with transfer status using data from a prior case-control study conducted with children with respiratory failure admitted to six level II PICUs between January 1, 1997, and December 31, 2007. To identify when to transfer a patient, thresholds for transfer were created using generalized estimating equations and discrete event simulation. The transfer policies were then tested against actual transfer data.

MEASUREMENTS AND MAIN RESULTS

Multivariate logistic regression revealed that the absolute difference of a patient's pediatric logistic organ dysfunction score from the admission value, high-frequency oscillatory ventilation use, antibiotic use, and blood transfusions were all significantly associated with transfer status. The resulting threshold policies led to average transfer delay reduction ranging from 0.5 to 2.3 days in the testing dataset.

CONCLUSIONS

Current transfer guidelines are devoid of criteria to identify critically ill children who might benefit from transfer and when the best time to transfer might be. In this study, we used innovative methods to create thresholds of transfer that might reduce delay in transfer.