An electrocardiographic score to predict pulmonary hypertension in children with atrial septal defect.

BACKGROUND: In limited resource settings, identification of factors that predict the occurrence of pulmonary hypertension(PH) in children with atrial septal defect(ASD) is important to decide which patients should be prioritized for defect closure to prevent complication. Echocardiography and cardiac catheterization are not widely available in such settings. No scoring system has been proposed to predict PH among children with ASD. We aimed to develop a PH prediction score using electrocardiography parameters for children with ASD in Indonesia. METHODS: A cross-sectional study reviewing medical record including ECG record was conducted among all children with newly diagnosed isolated ASD admitted to Dr Sardjito Hospital in Yogyakarta, Indonesia during 2016-2018. Diagnosis of ASD and PH was confirmed through echocardiography and/or cardiac catheterization. Spiegelhalter Knill-Jones approach was used to develop PH prediction score. Accuracy of prediction score was performed using a receiver operating characteristic (ROC) curve. RESULTS: Of 144 children, 50(34.7%) had PH. Predictors of pulmonary hypertension were QRS axis ≥120°, P wave ≥ 3 mm at lead II, R without S at V1, Q wave at V1, right bundle branch block (RBBB), R wave at V1, V2 or aVR > normal limit and S wave at V6 or lead I > normal limit. ROC curve from prediction scores yielded an area under the curve (AUC) 0.908(95% CI 0.85-0.96). Using the cut-off value 3.5, this PH prediction score had sensitivity of 76%(61.8-86.9), specificity 96.8%(91.0-99.3), positive predictive value 92.7%(80.5-97.5), negative predictive value 88.4%(82.2-92.6), and positive likelihood ratio 23.8(7.7-73.3). CONCLUSIONS: A presence of PH in children with ASD can be predicted by the simple electrocardiographic score including QRS axis ≥120°, P wave ≥3 mm at lead II, R without S at V1, Q wave at V1, RBBB, R wave at V1, V2 or aVR > normal limit and S wave at V6 or lead I > normal limit. A total score ≥ 3.5 shows a moderate sensitivity and high specificity to predict PH among children with ASD.

Risk factors for healthcare-associated infection among children in a low-and middle-income country.

BACKGROUND: Healthcare-associated infections (HAI) are one of significant causes of morbidity and mortality. Evaluating risk factors associated with HAI are important to improve clinical outcomes. We aimed to evaluate the risk factors of HAI in children in a low-to middle-income country. METHODS: A prospective cohort study was conducted during 43 months at a teaching hospital in Yogyakarta, Indonesia. All consecutive patients admitted to pediatric ICU and pediatric wards > 48 h were eligible. Those eligible patients were observed daily to identify the presence of HAI based on CDC criteria. The risk factors of HAI were identified. Multivariable logistic regression was used to identify independent risk factors. RESULTS: Total of 2612 patients were recruited. Of 467 were diagnosed as HAI. The cumulative incidence of HAI was 17.9%. In the multivariable analysis; length of stay > 7 days, severe sepsis, use of urine catheter, central venous catheter (CVC), non-standardized antibiotics, and aged < 1 year were independently associated with increased risk of HAI with adjusted OR (95%CI): 5.6 (4.3-7.3), 1.9 (1.3-2.9), 1.9 (1.3-2.6), 1.8 (1.1-2.9), 1.6 (1.2-2.0), and 1.4 (1.1-1.8), respectively. CONCLUSIONS: This study found that length of stay > 7 days, use of urine catheter and CVC, non-standardized antibiotic use, aged < 1 year, and had a diagnosis of severe sepsis increased risk of HAI.

Delayed diagnosis in children with congenital heart disease: a mixed-method study.

BACKGROUND: Delayed diagnosis of congenital heart disease (CHD) causes significant morbidity and mortality. We aimed to determine the proportion of delayed diagnosis of CHD and factors related to the delayed diagnosis. METHODS: A prospective cohort study with mixed-methods was conducted in Dr. Sardjito Hospital, Yogyakarta, Indonesia. Patients aged < 18 years with newly diagnosed CHD and echocardiography confirmed CHD were included. Data were recorded from medical records and interviews from direct caregivers. Logistic regression was used to identify independent factors associated with the delay. RESULTS: A total of 838 patients were included with median age of 2.9 years (0-17.7 years), with female predominance (54.2%, n = 454). The proportions of delayed diagnosis were 60.8% (510), 54.9% (373) and 86.2% (137) in all children with CHD, acyanotic and cyanotic CHD, respectively. Delayed diagnosis by doctor was the most common cause, followed by delayed diagnosis related to midwifery care, financial, referral/follow-up, and social factors. In multivariate analysis, cyanotic CHD, residence outside the city, non-syndromic, low family income, normal labour and at term gestation at birth were independently associated with the delay. At diagnosis, heart failure and pulmonary hypertension occurred in 414 (49.4%) and 132 (15.8%) children with CHD, respectively. CONCLUSIONS: Six in ten children with CHD were diagnosed with significant delay. Delayed diagnosis by doctor was the most common cause. Children with cyanotic CHD, residence outside the city, non-syndromic, low family income, normal labour and at term gestation at birth were independently associated with the delay. Comorbid complications in delayed diagnosis of CHD were prevalent.