Should echocardiogram be undertaken routinely when a child has severe iron deficiency anaemia?

Iron deficiency anaemia (IDA) is common in children. Treatment usually consists of oral iron therapy and, if severe, inpatient hospitalisation with blood transfusion. Providers may also undertake an echocardiogram, depending on availability and the severity of anaemia. A male toddler with nutritional IDA, haemoglobin of 1.7 g/dL (the lowest level in the literature) and hypertension had left ventricular hypertrophy (LVH) on the initial echocardiogram. He was managed acutely with judicious blood transfusion, followed by oral iron supplementation and anti-hypertensive medication at discharge. Repeat echocardiogram a month later demonstrated slight improvement of the LVH but the hypertension persisted at follow-up 6 months later. There was complete resolution of the findings a year later. In chronic nutritional IDA, there can be structural cardiac changes which can affect the acute management and requires close follow-up. It is important to use echocardiography in such severe cases.Abbreviations: CHF: congestive heart failure; CM: cardiomyopathy; DCM: dilated cardiomyopathy; ICU: intensive care unit; IDA: iron deficiency anaemia; IVSd: interventricular septum in diastole; LA: left atrium; LV: left ventricle; LVEDD: left ventricular end-diastolic diameter; LVH: left ventricular hypertrophy; LVM: left ventricular mass; LVPWd: left ventricular posterior wall end-diastole; PRBC: packed red blood cells.

Is HbA1c an Indicator of Diabetic Ketoacidosis Severity in the Pediatric Population?

ABSTRACT: Glycosylated hemoglobin (HbA1c) reflects how well blood glucose is controlled and is one of the strongest predictors of chronic complications of diabetes mellitus. The degree of acidosis helps determine the severity of diabetic ketoacidosis (DKA) (mild: pH 7.2-7.3; moderate: pH 7.1-7.2; severe: pH <7.1) and guides the level of care and predicts outcome. Many studies have implicated that higher HbA1c levels lead to recurrent DKA. However, there is no description of the association of higher HbA1c with the severity of DKA. One hundred thirty-eight electronic medical records of patients aged 1 to 21 years admitted to the pediatric intensive care unit with DKA between 2011 and 2015 were analyzed. We excluded 50 patients because the HbA1c level was not available. Spearman correlation analyzed the data for 88 patients included in the study. The mean HbA1c was 13.3, with female patients having more admissions compared with male patients (58% vs 42%). The age group from 13 to 21 years accounted for 77.3% of the patients. The duration of type 1 diabetes mellitus did not affect the HbA1c level. Likewise, the blood glucose and serum creatinine level did not show a statistical correlation with blood pH levels. Mean HbA1c for mild, moderate, and severe DKA groups were 11.4%, 12.2%, and 14.8%, respectively. Blood pH and HbA1c returned a negative correlation (correlation coefficient, -0.557; P = 0.005). The HbA1c level correlated positively with the 3 groups of DKA (correlation coefficient, 0.595; P = 0.01). A higher A 1c was associated with more severe DKA.

Improving Communication by Standardizing Pediatric Rapid Response Team Documentation.

BACKGROUND: Rapid response teams (RRTs) have been used by multiple hospital systems to enhance patient care and safety. However, processes to document rapid response events (RRE) are often varied among providers and teams, which can lead to suboptimal communication of recommendations to both the primary medical team and family. METHODS: A preintervention chart review was conducted from January-March 2018 and revealed suboptimal baseline documentation following RREs. A literature review and survey of RRT team members led to the creation of a standardized document with an Epic SmartPhrase which included six key elements of RRE documentation: physical examination, intervention performed, response to intervention, plan of care, communication with care team, and communication with family. A postintervention chart review was completed from April-June 2019 to assess improvements in documentation with the use of this SmartPhrase. RESULTS: There were 23 RRE activations in the postintervention period, of which 60.8% were due to respiratory distress. The documentation of the six key elements improved (p < .05) after SmartPhrase creation and serial educational interventions. CONCLUSIONS: Standardized RRE documentation of six key elements significantly improved with the implementation of an Epic SmartPhrase. Improved quality of documentation enhances communication between team members and can contribute to safer patient care.

Non-invasive Neurally Adjusted Ventilatory Assist (NAVA) in the pediatric ICU: assessing optimal Edi compliance.

BACKGROUND: Bronchiolitis patients are supported with non-invasive conventional modalities (HFNC, CPAP and BiPAP). Neurally Adjusted Ventilatory Assist (NAVA) is a newer mode which supports based on electrical activity of the diaphragm (Edi). It is unclear if non-invasive NAVA is used within optimal operational parameters. The study aim was to evaluate Edi compliance. METHODS: A retrospective chart review of bronchiolitis patients admitted to the PICU from January 2015 to January 2018 was undertaken. NAVA compliance within optimal parameters (defined as Edi peak values between 5-15 µV and Edi min < 1µV) was assessed as the primary outcome. Secondary outcomes included PICU length of stay (LOS), duration to minimal respiratory support (defined as 4 L/min or less on HFNC) and intubation rate in the conventional (non-NAVA) and non-invasive NAVA. RESULTS: Sixty-three patients with a mean age of 6.89 months with 30 on NAVA and 33 on non-NAVA support were analyzed. Compliance with optimal Edi peak and Edi min was 50.4% (±37.5%) and 33.8% (±26.2%) respectively. Regression models for PICU LOS with minimal respiratory support and for 1L/kg of HFNC showed adjusted R2= 0.96 and 0.92, respectively. The mean PICU stay for NAVA was 146.00 hrs. (±66.26) versus 69.58 hrs. (±57.69) for the non-NAVA group (p<0.001). Duration to minimal respiratory support was 125.40 hrs. (±54.90) for NAVA versus 58.03 hrs. (±58.97) for non-NAVA group (p<0.001). A higher intubation rate was found in the NAVA group (13.33% versus 3.03%, p=0.296). CONCLUSIONS: We found suboptimal compliance with operational parameters with non-invasive NAVA support. There was longer PICU LOS, time to minimal respiratory support in the NAVA compared to the non-NAVA support.