Association between weight-for-length percentile and ICU length of stay in patients with a single ventricle undergoing bidirectional Glenn repair: A retrospective cohort study.

BACKGROUND: Poor weight gain has been identified as an independent risk factor for increased surgical morbidity and mortality for patients with single-ventricle physiology undergoing staged surgical palliation. Conversely, excessive weight gain has also emerged as an independent risk factor predicting increased morbidity and mortality in a single-center study. Given this novel single-center concept, we investigated the impact of excessive weight on patients with single-ventricle physiology undergoing bidirectional Glenn palliation in a multicenter study model. METHODS: Patients from the Pediatric Heart Network Single Ventricle Reconstruction Trial (n = 387) were analyzed in a retrospective cohort study examining the independent effect of weight percentile on intensive care unit (ICU) length of stay (LOS) and ventilator days. Locally estimated scatterplot smoothing (LOESS) regression was used to plot weight-for-length (WFL) percentiles by ICU LOS and ventilator days. Unadjusted and adjusted ordinal regression was used to model ICU LOS and ventilator days. RESULTS: Scatterplots and LOESS regression curves demonstrated increasing ICU LOS and ventilator days for increasing WFL percentiles. Unadjusted ordinal regression analysis of ICU LOS demonstrated a trend of increasing ICU LOS for increasing WFL percentiles that was not statistically significant (P = 0.11). A similar trend was demonstrated in adjusted ordinal regression that was not statistically significant (P = 0.48). Unadjusted and adjusted ordinal regression analysis of ventilator days did not reach statistical significance (P = 0.07). CONCLUSION: Excessive weight gain has a clinically relevant but not statistically significant association with increased ICU LOS and ventilator days for those patients in the >90th WFL percentile for age.

Utilization of Transport Data to Decrease Unnecessarily Repeated Laboratory Tests.

OBJECTIVES: In pediatric patients being transported for management of diabetic ketoacidosis, laboratory tests will frequently be trended throughout transportation and subsequently immediately repeated upon arrival to a particular institution. These laboratory tests may not add value to a patient's care trajectory and therefore may be unnecessary. This study examines differences between pH, sodium, potassium, chloride, bicarbonate, and glucose levels drawn during transportation and those drawn at our home institution immediately upon arrival to determine if repeating those laboratory tests upon arrival to the emergency department serves any purpose in adding to patient care. METHODS: This study compares pH, sodium, potassium, chloride, bicarbonate, and glucose levels drawn during transport and at our home institution. Box and whisker plots between transport and institution laboratory values were constructed. A Wilcoxon signed rank test was performed to determine differences between pH, sodium, potassium, bicarbonate, and glucose levels, as these value sets were not normally distributed. A paired t test was performed to determine differences between transport and institution chloride values given that these value sets were normally distributed. Savings were then calculated based on charges to the patient to determine overall cost savings by not immediately repeating these laboratory tests upon presentation. RESULTS: Box and whisker plots showed marked similarity between laboratory tests drawn in transport and those immediately upon arrival to our ED. Paired t test did not demonstrate a statistical difference between transport and ED chloride levels ( P = 0.5699); therefore, we failed to reject the null hypothesis. Wilcoxon signed rank test did not demonstrate a statistical difference between transport and ED pH ( P = 0.1294) and potassium ( P = 0.4523) values; therefore, we failed to reject the null hypothesis. However, Wilcoxon signed rank test did demonstrate a statistically significant difference between uncorrected sodium ( P = 0.0006), corrected sodium ( P = 0.0075), bicarbonate ( P = <0.0001), and glucose levels ( P = 0.0086). CONCLUSIONS: Although there were some statistically significant differences between the laboratory value sets, it is arguable whether there are any clinically significant differences between them.Based on our failure to show a clinically significant difference between laboratory values drawn during transportation and those drawn immediately upon presentation to the institution, repeating laboratory draws after transportation do not add value to a patient's care trajectory. We should therefore rely on the laboratory values that were drawn from our transportation teams as part of the continuum of patient care.