Computerized Decision Support Systems for Mechanical Ventilation in Children

Incidence of Mechanical Ventilation Adverse Events in Critically Ill Children in a Tertiary Pediatric Intensive Care Unit

OBJECTIVE

Despite the clinical use of mechanical ventilation having well-documented benefits, it can be associated with complica- tions and adverse physiological effects that can impact mortality rates. There are few studies that examine complications associated with mechanical ventilation in children and the factors associated with complications in detail. This study aimed to investigate adverse events associated with mechanical ventilation in pediatric patients and to compare the epidemiology of complications associated with mechanical ventilation.

MATERIAL AND METHODS

The medical records of patients in a tertiary care pediatric intensive care unit who were mechanically ventilated between January 1, 2013, and July 31, 2017, were evaluated.

RESULTS

A total of 187 patients were included in the study, 105 boys (56.1%) and 82 girls (43.9%), and 45 (24.1%) patients experienced complications. The total number of mechanical ventilation days was 1100. Atelectasis (12.3%), post-extubation stridor (8.5%), ventilator- associated pneumonia (5.4%), and pneumothorax (5.4%) were most commonly observed complications.

CONCLUSION

Complications of mechanical ventilation in the pediatric population still occur frequently. In this study, the incidence of atelectasis was high, and also, incidences of ventilator-associated pneumonia and pneumothorax were low.

Use of a Risk Analytic Algorithm to Inform Weaning From Vasoactive Medication in Patients Following Pediatric Cardiac Surgery

OBJECTIVES

Advanced clinical decision support tools, such as real-time risk analytic algorithms, show promise in assisting clinicians in making more efficient and precise decisions. These algorithms, which calculate the likelihood of a given underlying physiology or future event, have predominantly been used to identify the risk of impending clinical decompensation. There may be broader clinical applications of these models. Using the inadequate delivery of oxygen index, a U.S. Food and Drug Administration-approved risk analytic algorithm predicting the likelihood of low cardiac output state, the primary objective was to evaluate the association of inadequate delivery of oxygen index with success or failure of weaning vasoactive support in postoperative cardiac surgery patients.

DESIGN

Multicenter retrospective cohort study.

SETTING

Three pediatric cardiac ICUs at tertiary academic children's hospitals.

PATIENTS

Infants and children greater than 2 kg and less than 12 years following cardiac surgery, who required vasoactive infusions for greater than 6 hours in the postoperative period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Postoperative patients were identified who successfully weaned off initial vasoactive infusions (n = 2,645) versus those who failed vasoactive wean (required reinitiation of vasoactive, required mechanical circulatory support, renal replacement therapy, suffered cardiac arrest, or died) (n = 516). Inadequate delivery of oxygen index for final 6 hours of vasoactive wean was captured. Inadequate delivery of oxygen index was significantly elevated in patients with failed versus successful weans (inadequate delivery of oxygen index 11.6 [sd 19.0] vs 6.4 [sd 12.6]; p < 0.001). Mean 6-hour inadequate delivery of oxygen index greater than 50 had strongest association with failed vasoactive wean (adjusted odds ratio, 4.0; 95% CI, 2.5-6.6). In patients who failed wean, reinitiation of vasoactive support was associated with concomitant fall in inadequate delivery of oxygen index (11.1 [sd 18] vs 8.9 [sd 16]; p = 0.007).

CONCLUSIONS

During the de-escalation phase of postoperative cardiac ICU management, elevation of the real-time risk analytic model, inadequate delivery of oxygen index, was associated with failure to wean off vasoactive infusions. Future studies should prospectively evaluate utility of risk analytic models as clinical decision support tools in de-escalation practices in critically ill patients.