Publications by authors named "A Ardati"

Article Synopsis
  • This study investigates post-renal transplant (RT) medical management for heart failure with reduced ejection fraction (HFrEF) in patients with end-stage renal disease, highlighting a gap in research on this topic.* -
  • Out of 750 RT recipients studied, only 6.3% had a prior diagnosis of HFrEF, yet a significant portion improved in heart function before the transplant and received essential medications like beta blockers and RAAS inhibitors.* -
  • Results show low rates of cardiology follow-up and RAAS inhibitor usage post-transplant, indicating the need for better collaboration between cardiology and transplant teams to enhance care for these patients.*
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Article Synopsis
  • - The study investigates the impact of Angiotensin-converting enzyme (ACE) and ACE2 receptor variations on SARS-CoV-2 infection outcomes in hypertensive patients, focusing on their demographics and genetic factors.
  • - Conducted between August 2020 and April 2021, the research included 150 hypertensive patients, revealing a high hospitalization rate (86%) and that Hispanic/Latinx patients had greater chances of ICU admission and mortality due to specific genetic profiles.
  • - Findings suggest that higher ACE levels significantly predict hospitalization risk, indicating that ACE/ACE2 genetic factors may influence disease severity in COVID-19 patients, regardless of age, race, and sex.
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Previous differences in guideline recommendation strength for CYP2C19 intermediate metabolizers may have limited genotype (PGx)-optimal post-percutaneous coronary intervention antiplatelet prescribing. In this single-center retrospective observational cohort study of CYP2C19 intermediate metabolizers, patients prescribed PGx-optimal therapy were younger and less likely on anticoagulation (2 vs 12%;  = 0.006).

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Anomalous aortic origin of a coronary artery is a rare congenital anomaly and potential aetiology for sudden cardiac death. However, the mere presence of this anomaly does not portend clinical significance, and there are many factors that contribute to limiting coronary blood flow in these patients. The standard of care for symptomatic individuals is surgical management with coronary unroofing although not all cases are amenable to surgery.

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Background: Intensive Care Unit (ICU) readmissions in patients with heart failure (HF) result in a significant risk of death and financial burden for patients and healthcare systems. Prediction of at-risk patients for readmission allows for targeted interventions that reduce morbidity and mortality.

Methods And Results: We presented a process mining/deep learning approach for the prediction of unplanned 30-day readmission of ICU patients with HF.

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