Publications by authors named "D A Clayton"
Purpose: Renal ultrasounds are performed in patients with myelomeningocele to screen for markers of kidney health, including hydronephrosis. We evaluated the diagnostic accuracy of hydronephrosis to screen for low kidney function defined by estimated glomerular filtration rate (eGFR).
Materials And Methods: We performed a retrospective cross-sectional study using data from 2 cohorts of children and youth with myelomeningocele.
Article Synopsis
- The ileovesicostomy (IV) is a surgical option for children with bladder dysfunction who can't manage other treatments, but long-term outcomes weren't well studied before this research.
- A retrospective review of patient records at a children's hospital showed a low rate of complications (0.11 per year) over an average follow-up of 6.4 years, with most complications occurring much later (average 84 months).
- The study concludes that IV not only presents a low risk of surgical issues but also helps preserve kidney function, although it has limitations like a small sample size and being retrospective.
Article Synopsis
- The study focused on the impact of race and insurance status on high-grade renal trauma (HGRT) among children, analyzing data from a large trauma registry between 2007 and 2020.
- Out of 341 initially identified pediatric patients with HGRT, differences were observed in the mechanism of injury and presentation age based on race, with African American (AA) patients experiencing more penetrating trauma and younger age at presentation.
- Insurance status affected the rates of bowel injuries and blood transfusions, and private insurance patients had higher rates of follow-up care, but neither race nor insurance status impacted overall surgical intervention outcomes, post-injury complications, or mortality rates.
Machine learning (ML) methods offer opportunities for gaining insights into the intricate workings of complex biological systems, and their applications are increasingly prominent in the analysis of omics data to facilitate tasks, such as the identification of novel biomarkers and predictive modeling of phenotypes. For scientists and domain experts, leveraging user-friendly ML pipelines can be incredibly valuable, enabling them to run sophisticated, robust, and interpretable models without requiring in-depth expertise in coding or algorithmic optimization. By streamlining the process of model development and training, researchers can devote their time and energies to the critical tasks of biological interpretation and validation, thereby maximizing the scientific impact of ML-driven insights.
View Article and Find Full Text PDFIntroduction: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare blood disease associated with complications that increase morbidity, such as thrombosis and chronic kidney disease. Limited data exist regarding complications among treated patients outside of clinical trials, especially for patients treated with ravulizumab.
Methods: This study leverages MarketScan claims data to examine the rate of complications in patients receiving PNH treatment.