AI Article Synopsis

  • Researchers developed a new risk score called ABC-AS for predicting outcomes in patients with severe aortic stenosis undergoing aortic valve replacement, using a neuronal network model.
  • The study involved 3,595 patients, split into test and validation groups, utilizing variables such as age, high-sensitivity troponin T levels, and cardiac history to create the score.
  • Findings showed that the ABC-AS score outperformed the existing Society of Thoracic Surgery Predictive Risk score in predicting both 30-day and overall cardiovascular mortality, highlighting its potential as a better risk assessment tool.

Article Abstract

: Despite being the most commonly performed valvular intervention, risk prediction for aortic valve replacement in patients with severe aortic stenosis by currently used risk scores remains challenging. The study aim was to develop a biomarker-based risk score by means of a neuronal network. : In this multicenter study, 3595 patients were divided into test and validation cohorts (70% to 30%) by random allocation. Input variables to develop the ABC-AS score were age, the cardiac biomarker high-sensitivity troponin T, and a patient history of cardiac decompensation. The validation cohort was used to verify the scores' value and for comparison with the Society of Thoracic Surgery Predictive Risk of Operative Mortality score. : Receiver operating curves demonstrated an improvement in prediction by using the ABC-AS score compared to the Society of Thoracic Surgery Predictive Risk of Operative Mortality (STS prom) score. Although the difference in predicting cardiovascular mortality was most notable at 30-day follow-up (area under the curve of 0.922 versus 0.678), ABC-AS also performed better in overall follow-up (0.839 versus 0.699). Furthermore, univariate analysis of ABC-AS tertiles yielded highly significant differences for all-cause ( < 0.0001) and cardiovascular mortality ( < 0.0001). Head-to-head comparison between both risk scores in a multivariable cox regression model underlined the potential of the ABC-AS score (HR per z-unit 2.633 (95% CI 2.156-3.216), < 0.0001), while the STS prom score failed to reach statistical significance ( = 0.226). : The newly developed ABC-AS score is an improved risk stratification tool to predict cardiovascular outcomes for patients undergoing aortic valve intervention.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11242068PMC
http://dx.doi.org/10.3390/jcm13133691DOI Listing

Publication Analysis

Top Keywords

abc-as score
20
aortic valve
12
score
10
patients undergoing
8
undergoing aortic
8
valve intervention
8
risk scores
8
society thoracic
8
thoracic surgery
8
surgery predictive
8

Similar Publications

Article Synopsis
  • Researchers developed a new risk score called ABC-AS for predicting outcomes in patients with severe aortic stenosis undergoing aortic valve replacement, using a neuronal network model.
  • The study involved 3,595 patients, split into test and validation groups, utilizing variables such as age, high-sensitivity troponin T levels, and cardiac history to create the score.
  • Findings showed that the ABC-AS score outperformed the existing Society of Thoracic Surgery Predictive Risk score in predicting both 30-day and overall cardiovascular mortality, highlighting its potential as a better risk assessment tool.
View Article and Find Full Text PDF

This study was designed to validate the Arabic version of the Autism Behavior Checklist (ABC) for the Egyptian population. A total of 500 mothers of children aged 4-14 years, of whom 150 had a diagnosis of ASD, 100 with intellectual disability, and 250 typically developing children completed the ABC. The factor analysis showed that 48 of 57 ABC items yielded a five-dimensional factor structure.

View Article and Find Full Text PDF

Reproducibility of Gene Expression Signatures in Diffuse Large B-Cell Lymphoma.

Cancers (Basel)

March 2022

Department of Hematology, University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands.

Multiple gene expression profiles have been identified in diffuse large B-cell lymphoma (DLBCL). Besides the cell of origin (COO) classifier, no signatures have been reproduced in independent studies or evaluated for capturing distinct aspects of DLBCL biology. We reproduced 4 signatures in 175 samples of the HOVON-84 trial on a panel of 117 genes using the NanoString platform.

View Article and Find Full Text PDF

Criterion Validity and Applicability of Motor Screening Instruments in Children Aged 5-6 Years: A Systematic Review.

Int J Environ Res Public Health

January 2022

Department of Health Sciences, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ Groningen, The Netherlands.

The detection of motor developmental problems, especially developmental coordination disorder, at age 5-6 contributes to early interventions. Here, we summarize evidence on (1) criterion validity of screening instruments for motor developmental problems at age 5-6, and (2) their applicability. We systematically searched seven databases for studies assessing criterion validity of these screening instruments using the M-ABC as reference standard.

View Article and Find Full Text PDF

Evaluation of the Aberrant Behavior Checklist for Developmental and Epileptic Encephalopathies.

Epilepsy Behav

June 2021

Division of Neurology, Epilepsy Center, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States; Deparment of Pediatrics, Northwestern Feinberg School of Medicine, Chicago, IL, United States.

Objectives: To determine the suitability of the Aberrant Behavior Checklist (ABC)-a common measure used in clinical trials for treatment of challenging behaviors of autism-as an outcome measure for pharmacological and behavioral interventions for young people with Developmental and Epileptic Encephalopathies (DEEs).

Methods: We assessed score profiles on the ABC in a sample of 122 young people with DEEs, including Dravet and Lennox-Gastaut syndromes, and KCNQ2- SCN2A-, and KCNB1-associated disorders. Then we examined its internal structure using item cluster analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: