An Evaluation of Antimicrobial Prescribing and Risk-adjusted Mortality.

The Centers for Disease Control and Prevention recommends tracking risk-adjusted antimicrobial prescribing. Prior studies have used prescribing variation to drive quality improvement initiatives without adjusting for severity of illness. The present study aimed to determine the relationship between antimicrobial prescribing and risk-adjusted ICU mortality in the Pediatric Health Information Systems (PHIS) database, assessed by IBM-Watson risk of mortality. A nested analysis sought to assess an alternative risk model incorporating laboratory data from federated electronic health records. METHODS: Retrospective cohort study of pediatric ICU patients in PHIS between 1/1/2010 and 12/31/2019, excluding patients admitted to a neonatal ICU, and a nested study of PHIS+ from 1/1/2010 to 12/31/2012. Hospital antimicrobial prescription volumes were assessed for association with risk-adjusted mortality. RESULTS: The cohort included 953,821 ICU encounters (23,851 [2.7%] nonsurvivors). There was 4-fold center-level variability in antimicrobial use. ICU antimicrobial use was not correlated with risk-adjusted mortality assessed using IBM-Watson. A risk model incorporating laboratory data available in PHIS+ significantly outperformed IBM-Watson (c-statistic 0.940 [95% confidence interval 0.933-0.947] versus 0.891 [0.881-0.901]; P < 0.001, area under the precision recall curve 0.561 versus 0.297). Risk-adjusted mortality was inversely associated with antimicrobial prescribing in this smaller cohort using both the PHIS+ and Watson models (P = 0.05 and P < 0.01, respectively). CONCLUSIONS: Antimicrobial prescribing among pediatric ICUs in the PHIS database is variable and not associated with risk-adjusted mortality as assessed by IBM-Watson. Expanding existing administrative databases to include laboratory data can achieve more meaningful insights when assessing multicenter antibiotic prescribing practices.

Impact of PCV-13 vaccine on invasive pneumococcal disease in hospitalised children: A multi-institutional analysis.

AIM: We aimed to describe changes in invasive pneumococcal disease (IPD) hospitalisations after introduction of the pneumococcal conjugate vaccine (PCV13). METHODS: This was a retrospective analysis of the Pediatric Health Information System (PHIS) database, including children with IPD pre-PCV13 (2004-2009) and post-PCV13 (2012-2017). Healthy children and those with chronic conditions were analysed separately. The primary outcome was IPD incidence. Secondary outcomes included length of stay, intensive care unit (ICU) admission, mechanical ventilation and mortality. RESULTS: 9160 hospitalisations for IPD were included. The IPD rate per 100 000 discharges was 180 pre-PVC13 and 150 post-PCV13 [17% decrease (P = 0.085)]. The observed IPD rate in 2017 was 45.5% lower than the rate predicted by the pre-PCV13 trend (95% CI: 44%-46%). While a significant decrease in IPD (32%, P = 0.026) was observed among healthy children, there was no change in those with chronic conditions (9%, P = 0.24). In the post-PCV13 period, more IPD patients had chronic conditions, ICU admissions and longer ICU stays. CONCLUSION: Although there was no overall reduction in IPD after PCV13, we observed a significant decrease in IPD among healthy patients. Further research is needed to elucidate microbiology or other factors contributing to persistent IPD hospitalisations.

Hyperglycemia requiring insulin during acute lymphoblastic leukemia induction chemotherapy is associated with increased adverse outcomes and healthcare costs.

BACKGROUND: Hyperglycemia is a complication of induction chemotherapy in 10%-50% of pediatric patients with acute lymphoblastic leukemia (ALL). Though hyperglycemia in ALL patients is usually transient, it may be associated with adverse health outcomes. However, the risk factors for and consequences of hyperglycemia are poorly understood. We hypothesized that hyperglycemia significant enough to require insulin therapy during induction chemotherapy would be associated with increased morbidity and mortality in pediatric ALL patients during induction chemotherapy and in subsequent care. METHODS: We abstracted clinical and resource utilization data from the Pediatric Health Information System (PHIS) database utilizing ICD-9 codes and medication charges. We used logistic regression analysis to predict the development of hyperglycemia. The effects of hyperglycemia on binary and count adverse outcomes following induction chemotherapy were modeled using mixed-effect regression models. RESULTS: An increased risk of hyperglycemia requiring insulin was associated with older age, female sex, higher risk group and trisomy 21. Patients on insulin for hyperglycemia had increased mortality following induction chemotherapy. These patients were more likely to have subsequent infectious complications, need for bone marrow transplant, and risk of disease relapse. They also had greater length of inpatient stay, higher cost of care, and were more likely to require intensive care unit admission during induction chemotherapy. CONCLUSIONS: Hyperglycemia requiring insulin during induction chemotherapy in pediatric ALL is associated with an increased risk of short-term and long-term complications. Prospective studies are needed to analyze formal screening, preventive measures, and optimal management practices for hyperglycemia during ALL induction chemotherapy.