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1.
Pediatr Cardiol ; 40(6): 1253-1257, 2019 Aug.
Article in English | MEDLINE | ID: mdl-31263917

ABSTRACT

Obesity is associated with additional left ventricular hypertrophy (LVH) in adults with hypertrophic cardiomyopathy (HCM). It is not known whether obesity can lead to further LVH in children with HCM. Echocardiographic LV dimensions were determined in 504 children with HCM. Measurements of interventricular septal thickness (IVST) and posterior wall thickness (PWT), and patients' weight and height were recorded. Obesity was defined as a body mass index (BMI) ≥ 99th percentile for age and sex. IVST data was available for 498 and PWT data for 484 patients. Patient age ranged from 2 to 20 years (mean ± SD, 12.5 ± 3.9) and 340 (68%) were males. Overall, patient BMI ranged from 7 to 50 (22.7 ± 6.1). Obesity (BMI 18-50, mean 29.1) was present in 140 children aged 2-19.6 (11.3 ± 4.1). The overall mean IVST was 20.5 ± 9.6 mm and the overall mean PWT was 11.0 ± 8.4 mm. The mean IVST in the obese patients was 21.6 ± 10.0 mm and mean PWT was 13.3 ± 14.7 mm. The mean IVST in the non-obese patients was 20.1 ± 9.5 mm and mean PWT was 10.4 ± 4.3 mm. Obesity was not significantly associated with IVST (p = 0.12), but was associated with increased PWT (0.0011). Obesity is associated with increased PWT but not IVST in children with HCM. Whether obesity and its impact on LVH influences clinical outcomes in children with HCM needs to be studied.


Subject(s)
Cardiomyopathy, Hypertrophic/complications , Heart Ventricles/pathology , Obesity/complications , Ventricular Septum/pathology , Adolescent , Body Mass Index , Cardiomyopathy, Hypertrophic/physiopathology , Child , Child, Preschool , Echocardiography , Female , Humans , Male , Young Adult
2.
Heart Rhythm ; 16(10): 1462-1467, 2019 10.
Article in English | MEDLINE | ID: mdl-31026510

ABSTRACT

BACKGROUND: Predictors of risk of lethal arrhythmic events (LAE) is poorly understood and may differ from adults in children with hypertrophic cardiomyopathy (HCM). OBJECTIVE: The purpose of this study was to determine predictors of LAE in children with HCM. METHODS: A retrospective data collection was performed on 446 children and teenagers 20 years and younger (290 [65%] male; mean age 10.1 ± 5.7 years) with idiopathic HCM from 35 centers. Patients were classified as group 1 (HCM with LAE) if having a secondary prevention implantable cardioverter-defibrillator (ICD) or primary prevention ICD with appropriate interventions or group 2 (HCM without LAE) if having a primary prevention ICD without appropriate interventions. RESULTS: There were 152 children (34%) in group 1 and 294 (66%) in group 2. Risk factors for group 1 by univariate analysis were septal thickness, posterior left ventricular (LV) wall thickness, lower LV outflow gradient, and Q wave > 3 mm in inferior electrocardiographic leads. Factors not associated with LAE were family history of SCD, abnormal blood pressure response to exercise, and ventricular tachycardia on ambulatory electrocardiographic monitoring. Risk factors for SCD by multivariate analysis were age at ICD placement (hazard ratio [HR] 0.9; P = .0025), LV posterior wall thickness z score (HR 1.02; P < .005), and LV outflow gradient < 30 mm Hg (HR 2.0; P < .006). LV posterior wall thickness z score ≥ 5 was associated with LAE. CONCLUSION: Risk factors for LAE appear different in children compared to adults. Conventional adult risk factors were not significant in children. Further prospective studies are needed to improve risk stratification for LAE in children with HCM.


Subject(s)
Arrhythmias, Cardiac/therapy , Cardiomyopathy, Hypertrophic/complications , Death, Sudden, Cardiac/prevention & control , Defibrillators, Implantable , Adolescent , Arrhythmias, Cardiac/diagnostic imaging , Arrhythmias, Cardiac/etiology , Cardiomyopathy, Hypertrophic/diagnosis , Child , Child, Preschool , Cohort Studies , Echocardiography/methods , Electrocardiography/methods , Female , Follow-Up Studies , Hospitals, Pediatric , Humans , Internationality , Kaplan-Meier Estimate , Male , Proportional Hazards Models , Retrospective Studies , Risk Assessment , Severity of Illness Index , Treatment Outcome , Young Adult
3.
Medicine (Baltimore) ; 98(7): e14338, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30762733

ABSTRACT

Optimizing surgical instrumentation may contribute to value-based care, particularly in commonly performed procedures. We report our experience in implementing a perioperative efficiency program in 2 types of orthopedic surgery (primary total-knee arthroplasty, TKA, and total-hip arthroplasty, THA).A comparative before-and-after study with 2 participating surgeons, each performing both THA and TKA, was conducted. Our objective was to evaluate the effect of surgical tray optimization on operating and processing time, cost, and waste associated with preparation, delivery, and staging of sterile surgical instruments. The study was designed as a prospective quality improvement initiative with pre- and postimplementation operational measures and a provider satisfaction survey.A total of 96 procedures (38 preimplementation and 58 postimplementation) were assessed using time-stamped performance endpoints. The number and weight of trays and instruments processed were reduced substantially after the optimization intervention, particularly for TKA. Setup time was reduced by 23% (6 minutes, P = .01) for TKA procedures but did not differ for THA. The number of survey respondents was small, but satisfaction was high overall among personnel involved in implementation.Optimizing instrumentation trays for orthopedic procedures yielded reduction in processing time and cost. Future research should evaluate patient outcomes and incremental/additive impact on institutional quality measures.


Subject(s)
Arthroplasty, Replacement, Hip/methods , Arthroplasty, Replacement, Knee/methods , Efficiency, Organizational , Quality Improvement/organization & administration , Surgical Instruments/standards , Arthroplasty, Replacement, Hip/economics , Arthroplasty, Replacement, Hip/standards , Arthroplasty, Replacement, Knee/economics , Arthroplasty, Replacement, Knee/standards , Costs and Cost Analysis , Humans , Perioperative Period , Prospective Studies , Quality Improvement/economics , Quality Improvement/standards , Time Factors
4.
J Am Coll Cardiol ; 53(8): 690-7, 2009 Feb 24.
Article in English | MEDLINE | ID: mdl-19232902

ABSTRACT

OBJECTIVES: To determine the outcomes of medical management, pacing, and catheter ablation for the treatment of nonpost-operative junctional ectopic tachycardia (JET) in a pediatric population. BACKGROUND: Nonpost-operative JET is a rare tachyarrhythmia that is associated with a high rate of morbidity and mortality. Most reports of clinical outcomes were published before the routine use of amiodarone or ablation therapies. METHODS: This is an international, multicenter retrospective outcome study of pediatric patients treated for nonpost-operative JET. RESULTS: A total of 94 patients with JET and 5 patients with accelerated junctional rhythm (age 0.8 year, range fetus to 16 years) from 22 institutions were identified. JET patients presenting at age < or =6 months were more likely to have incessant JET and to have faster JET rates. Antiarrhythmic medications were utilized in a majority of JET patients (89%), and of those, amiodarone was the most commonly reported effective agent (60%). Radiofrequency ablation was conducted in 17 patients and cryoablation in 27, with comparable success rates (82% radiofrequency vs. 85% cryoablation, p = 1.0). Atrioventricular junction ablation was required in 3% and pacemaker implantation in 14%. There were 4 (4%) deaths, all in patients presenting at age < or =6 months. CONCLUSIONS: Patients with nonpost-operative JET have a wide range of clinical presentations, with younger patients demonstrating higher morbidity and mortality. With current medical, ablative, and device therapies, the majority of patients have a good clinical outcome.


Subject(s)
Tachycardia, Ectopic Junctional/therapy , Adolescent , Anti-Arrhythmia Agents/therapeutic use , Catheter Ablation , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Pacemaker, Artificial
5.
BMC Bioinformatics ; 7: 288, 2006 Jun 07.
Article in English | MEDLINE | ID: mdl-16759376

ABSTRACT

BACKGROUND: In order to maintain the most comprehensive structural annotation databases we must carry out regular updates for each proteome using the latest profile-profile fold recognition methods. The ability to carry out these updates on demand is necessary to keep pace with the regular updates of sequence and structure databases. Providing the highest quality structural models requires the most intensive profile-profile fold recognition methods running with the very latest available sequence databases and fold libraries. However, running these methods on such a regular basis for every sequenced proteome requires large amounts of processing power. In this paper we describe and benchmark the JYDE (Job Yield Distribution Environment) system, which is a meta-scheduler designed to work above cluster schedulers, such as Sun Grid Engine (SGE) or Condor. We demonstrate the ability of JYDE to distribute the load of genomic-scale fold recognition across multiple independent Grid domains. We use the most recent profile-profile version of our mGenTHREADER software in order to annotate the latest version of the Human proteome against the latest sequence and structure databases in as short a time as possible. RESULTS: We show that our JYDE system is able to scale to large numbers of intensive fold recognition jobs running across several independent computer clusters. Using our JYDE system we have been able to annotate 99.9% of the protein sequences within the Human proteome in less than 24 hours, by harnessing over 500 CPUs from 3 independent Grid domains. CONCLUSION: This study clearly demonstrates the feasibility of carrying out on demand high quality structural annotations for the proteomes of major eukaryotic organisms. Specifically, we have shown that it is now possible to provide complete regular updates of profile-profile based fold recognition models for entire eukaryotic proteomes, through the use of Grid middleware such as JYDE.


Subject(s)
Algorithms , Pattern Recognition, Automated/methods , Proteome/chemistry , Proteome/classification , Sequence Alignment/methods , Amino Acid Sequence , Artificial Intelligence , Humans , Molecular Sequence Data , Protein Folding , Sequence Analysis, Protein
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