Background Advancements in the field, including novel procedures and multiple interventions, require an updated approach to accurately assess patient risk. This study aims to modernize patient hemodynamic and procedural risk classification through the creation of risk assessment tools to be used in congenital cardiac catheterization. Methods and Results Data were collected for all cases performed at sites participating in the C3PO (Congenital Cardiac Catheterization Project on Outcomes) multicenter registry. Between January 2014 and December 2017, 23 119 cases were recorded in 13 participating institutions, of which 88% of patients were <18 years of age and 25% <1 year of age; a high‐severity adverse event occurred in 1193 (5.2%). Case types were defined by procedure(s) performed and grouped on the basis of association with the outcome, high‐severity adverse event. Thirty‐four unique case types were determined and stratified into 6 risk categories. Six hemodynamic indicator variables were empirically assessed, and a novel hemodynamic vulnerability score was determined by the frequency of high‐severity adverse events. In a multivariable model, case‐type risk category (odds ratios for category: 0=0.46, 1=1.00, 2=1.40, 3=2.68, 4=3.64, and 5=5.25; all P ≤0.005) and hemodynamic vulnerability score (odds ratio for score: 0=1.00, 1=1.27, 2=1.89, and ≥3=2.03; all P ≤0.006) remained independent predictors of patient risk. Conclusions These case‐type risk categories and the weighted hemodynamic vulnerability score both serve as independent predictors of patient risk for high‐severity adverse events. This contemporary procedure‐type risk metric and weighted hemodynamic vulnerability score will improve our understanding of patient and procedural outcomes.

Background Acute kidney injury (AKI) is a commonly recognized clinical problem after congenital heart disease (CHD) surgery. Increased perioperative morbidity, development of chronic kidney disease, and increased mortality are the major concerns. We investigated frequency, risk factors, and outcomes of AKI after CHD surgery at our hospital.

IntroductionRheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation of secondary prophylaxis is important. The objectives of this study are to determine the frequency of subclinical RHD and to train a deep learning (DL) algorithm using waveform data from the digital auscultatory stethoscope (DAS) in predicting subclinical RHD.Methods and analysisWe aim to recruit 1700 children from a group of schools serving the underprivileged over a 12-month period in Karachi (Pakistan). All consenting students within the age of 5–15 years with no underlying congenital heart disease will be eligible for the study. We will gather information regarding sociodemographics, anthropometric data, history of symptoms or diagnosis of rheumatic fever, phonocardiogram (PCG) and electrocardiography (ECG) data obtained from DAS. Handheld echocardiogram will be performed on each study participant to assess the presence of a mitral regurgitation (MR) jet (>1.5 cm), or the presence of aortic regurgitation (AR) in any view. If any of these findings are present, a confirmatory standard echocardiogram using the World Heart Federation (WHF) will be performed to confirm the diagnosis of subclinical RHD. The auscultatory data from digital stethoscope will be used to train the deep neural network for the automatic identification of patients with subclinical RHD. The proposed neural network will be trained in a supervised manner using labels from standard echocardiogram of the participants. Once trained, the neural network will be able to automatically classify the DAS data in one of the three major categories—patient with definite RHD, patient with borderline RHD and normal subject. The significance of the results will be confirmed by standard statistical methods for hypothesis testing.Ethics and disseminationEthics approval has been taken from the Aga Khan University, Pakistan. Findings will be disseminated through scientific publications and to collaborators.Article focusThis study focuses on determining the frequency of subclinical RHD in school-going children in Karachi, Pakistan and developing a DL algorithm to screen for this condition using a digital stethoscope.

BackgroundThe importance of registries for collaborative quality improvement has been overlooked in low/middle-income countries (LMIC). Aga Khan University Hospital (AKUH) in Pakistan joined the Congenital Cardiac Catheterization Project on Outcomes-Quality Improvement (C3PO-QI) in March 2017 with the goal of leveraging international collaboration to improve patient care and institutional standards.MethodsThe C3PO-QI key driver-based approach was used, with certain modifications, for process re-engineering in AKUH’s congenital cardiac catheterisation laboratory (CCL) to reduce radiation exposure during cardiac catheterisation procedures (the primary outcome of C3PO- QI). Educating staff and standardising procedural documentation were the principal goals of the process re-engineering. Data survey was used to assess staff knowledge, attitude and practice before and after the initiative. Additionally, case demographics and outcomes were compared between AKUH and C3PO-QI centres.ResultsThere was an increase in appropriate recording of radiation surrogates (0%–100%, p=0.00) and in the percentage of cases that met the established benchmark of ‘Ideal documentation’ (35% vs 95%, p=0.001). There was also an increase in self-reported staff interest during the case (25% vs 75%, p=0.001). AKUH versus C3PO-QI data showed similar demographic characteristics. There was a slight over-representation of diagnostic cases (42% vs 32%) as compared with interventional (58% vs 68%) at AKUH. Furthermore, interventional procedures were predominately PDA and ASD device closures (n=19 and 15, respectively). The frequency of adverse events were the same between AKUH and collaborative sites.ConclusionCollaborative efforts between developed and LMIC CCL are significant in advancing system-level processes.

Objectives:To determine the frequency and immediate outcome of acute neurologic complications (ANCs) in children undergoing congenital heart surgery (CHS).Materials and Methods:In this retrospective study, all patients undergoing CHS at our hospital from January 2007 to June 2016 were included. Patients were followed up for the development of seizures, altered level of consciousness (ALOC), abnormal movements, and stroke. Results are presented as mean with standard deviation and frequency with percentages.Results:Of 2000 patients who underwent CHS at our center during the study, 35 patients (1.75%) developed ANC. Seizures occurred in 28 (80%), ALOC in 5 (14%), clinical stroke in 2, brain death in 6 patients. Antiepileptic drugs (AEDs) were started in 32 patients, of which 13 patients required more than one AED. Mean length of stay was 10 ± 7.36 days. Of 35 patients who developed ANC, 7 expired during the study.Conclusion:Neurological complications are scarce but significant morbidity after CHS at our center.