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Genetic variants in dilated cardiomyopathy confer differential arrhythmic risks, independent of traditional clinical parameters. Integrating recent registry data and molecular studies enhances risk stratification and informs tailored manage
Preoperative neutrophil-to-lymphocyte ratio (NLR) predicts poor outcomes in high-risk cutaneous squamous cell carcinoma, offering a cost-effective tool to enhance risk stratification.
This review synthesizes evidence supporting outpatient management of acute low-risk pulmonary embolism (PE), highlighting risk stratification tools, safety outcomes, and implementation strategies to enhance adoption in clinical practice.
The Cutaneous Lymphoma International Prognostic Index (CLIPI) enhances risk stratification and predicts progression and treatment response beyond conventional staging in advanced mycosis fungoides and Sézary syndrome.
A new tracheostomy-specific risk-tier system improves outcome prediction in pediatric tracheostomy hospitalizations compared with traditional severity metrics, offering better benchmarking for clinical care across institutions.
Soluble BCMA levels in newly diagnosed multiple myeloma patients reveal distinct tumor phenotypes and predict prognosis more strongly than tumor volume, enabling improved risk stratification and clinical decision-making.
MTMR4 minor allele homozygosity influences arrhythmic risk oppositely in LQT1 and LQT2, providing critical insights for personalized risk stratification in long QT syndrome patients.
A gene-specific, risk-based screening algorithm for relatives with titin-truncating variants optimizes monitoring intervals from 1 to 5 years, improving safety and resource use in dilated cardiomyopathy surveillance.
This review synthesizes evidence on the cost-effectiveness of standalone salpingectomy for ovarian cancer prevention, highlighting its benefits primarily in women at moderately elevated risk, especially between ages 45-50, supporting tailor
A novel, cumulative risk factor approach identifies patients at increased risk for additional retinal intervention after laser retinopexy for retinal tears, improving surveillance and management strategies.
Assessment of β-cell dysfunction using stimulated glucose and C-peptide measures improves risk stratification for type 1 diabetes progression among single autoantibody-positive relatives, enabling personalized monitoring and targeted interv
A novel left atrial (LA) staging system, integrating hemodynamic load and contractile function, predicts new-onset atrial fibrillation risk in hypertrophic cardiomyopathy and may guide tailored AF surveillance.
This review examines the role of FreeStyle Libre Pro iQ CGM in differentiating presymptomatic stages of type 1 diabetes and predicting progression to clinical disease, comparing its performance with Dexcom G6 and discussing implications for
This article reviews a validated clinical risk model predicting arrhythmic events in patients with RYR2-mediated CPVT receiving beta-blockers, facilitating personalized management to reduce life-threatening arrhythmias.
This article discusses a novel machine learning-based tool, especially XGBoost, to predict hearing loss risk in high-risk neonates using clinical factors for targeted early intervention.
A shift from static portal pressure thresholds to dynamic, non-invasive risk prediction models offers improved prognostic accuracy for decompensation in advanced chronic liver disease, enabling personalized patient management and better cli
Echocardiography-derived right ventricular phenotypes improve prognostic accuracy beyond standard risk tools in pulmonary arterial hypertension patients at first follow-up, refining survival predictions and guiding management strategies.
The integrated 40-gene expression profile (i40-GEP) improves risk stratification in high-risk cutaneous squamous cell carcinoma, accurately predicting metastasis and local recurrence, and identifying patients who benefit most from adjuvant
Single-cell multi-omics profiling reveals novel immune signatures linked to coronary artery disease and cardiovascular outcomes, independent of traditional inflammatory markers, offering new avenues for risk stratification and personalized
Blood or marrow transplant recipients face an increased risk of skin cancers. This study develops validated risk models to identify high-risk patients for basal cell carcinoma, squamous cell carcinoma, and melanoma to optimize surveillance
