Publications by authors named "Ranel Loutati"

Background: The identification and drug targeting of cancer causing (driver) genetic alterations has seen immense improvement in recent years, with many new targeted therapies developed. However, identifying, prioritizing, and treating genetic alterations is insufficient for most cancer patients. Current clinical practices rely mainly on DNA level mutational analyses, which in many cases fail to identify treatable driver events.

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  • Platelets have a significant impact on aortic stenosis (AS) and patients undergoing transcatheter aortic valve implantation (TAVI), prompting an analysis of their indices in relation to AS stages.
  • In a study involving 220 TAVI patients, they were categorized into 5 AS stages based on cardiac damage, revealing a correlation between higher mean platelet volume (MPV) and advanced AS staging, as well as lower hemoglobin levels.
  • The findings indicate that while MPV and immature platelet fraction (IPF) show variations across stages, only MPV and body mass index (BMI) were significant predictors of higher AS staging in the logistic regression analysis.
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Background: The traditional classification of left ventricular hypertrophy (LVH), which relies on left ventricular geometry, fails to correlate with outcomes among patients with increased LV mass (LVM).

Objectives: To identify unique clinical phenotypes of increased LVM patients using unsupervised cluster analysis, and to explore their association with clinical outcomes.

Methods: Among the UK Biobank participants, increased LVM was defined as LVM index ≥72 g/m for men, and LVM index ≥55 g/m for women.

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  • - The study investigates the relationship between peak high-sensitivity cardiac troponin (hs-cTn) levels and one-year mortality in patients admitted to intensive cardiovascular care units (ICCU) from 2019 to 2023.
  • - A total of 4149 patients were analyzed, revealing that those with hs-cTnI levels ≥100,000 ng/L had a significantly higher risk of mortality compared to lower levels, particularly in non-ST elevation myocardial infarction (NSTEMI) cases.
  • - The findings suggest that while high hs-cTnI levels indicate poor prognosis, the impact on mortality rates varies notably between patients with ST elevation myocardial infarction (STEMI) and NSTEMI, indicating a need
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Background And Aims: Long-term data on atrial fibrillation (AF) impact on tricuspid regurgitation (TR) progression and its relation to pulmonary pressure are scant. We investigated this association in a study spanning over a decade.

Methods: Adults with echocardiographic evaluation before 2014, free of significant TR, were included.

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Background: Age and sex can be estimated using artificial intelligence on the basis of various sources. The aims of this study were to test whether convolutional neural networks could be trained to estimate age and predict sex using standard transthoracic echocardiography and to evaluate the prognostic implications.

Methods: The algorithm was trained on 76,342 patients, validated in 22,825 patients, and tested in 20,960 patients.

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  • The study investigates the incidence of fatal heart complications, specifically ventricular fibrillation (VF) and sustained ventricular tachycardia (VT), in patients with non-ST elevation myocardial infarction (NSTEMI) admitted to an intensive coronary care unit (ICCU).
  • Out of 732 NSTEMI patients monitored, only three (0.4%) developed VF/VT during their stay, with none of the patients experiencing mortality in a year following treatment.
  • The findings indicate that VF/VT occurrences in NSTEMI patients under current treatment guidelines are infrequent, suggesting that routine ICCU monitoring may not be necessary for these patients.
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  • The study investigates how the Israel-Hamas war in 2023 impacted cardiovascular health, focusing on the admissions and outcomes in a specialized cardiac care unit.
  • Researchers analyzed data from 556 patients admitted during the war's initial three months and compared it to a similar timeframe in 2022.
  • The findings showed a decline in Arab patient admissions and an increase in STEMI cases during the war, yet the overall in-hospital mortality rates remained comparable between the two periods.
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Background: Readmission within 30 days is a prevalent issue among elderly patients, linked to unfavorable health outcomes. Our objective was to develop and validate multimodal machine learning models for predicting 30-day readmission risk in elderly patients discharged from internal medicine departments.

Methods: This was a retrospective cohort study which included elderly patients aged 75 or older, who were hospitalized at the Hadassah Medical Center internal medicine departments between 2014 and 2020.

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  • A study was conducted to explore sex differences in in-hospital mortality rates among patients with acute coronary syndrome (ACS), highlighting that women face higher mortality and complications despite efforts to reduce sex bias in treatment.
  • The research involved analyzing data from 2,346 ACS patients, with a focus on 453 female patients, who showed greater prevalence of non-ST elevation myocardial infarction (NSTEMI) and longer wait times for urgent procedures compared to males.
  • The study developed predictive models using artificial intelligence, finding that the gradient boosting classifier performed best in predicting in-hospital mortality, indicating age, type of myocardial infarction, and inflammatory markers as key risk factors.
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Introduction: Immature platelets or reticulated platelets are newly released thrombocytes. They can be identified by their large size and high RNA cytoplasm concentration. Immature platelet fraction (IPF) represents the percentage of immature circulative platelets relative to the total number of platelets.

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  • Timely reperfusion within 120 minutes is crucial for patients with NSTEMI who have high-risk features, but there's limited data on how using high-sensitivity cardiac troponin (hs-cTn) levels at admission can help improve treatment outcomes.
  • A study involving 544 NSTEMI patients examined the relationship between initial hs-cTn levels and all-cause mortality over three years, dividing patients into quartiles based on their hs-cTnI levels upon admission.
  • The findings revealed that patients in the highest hs-cTnI quartile had a significantly higher mortality rate compared to those in the lowest quartile, emphasizing the need for more research on early treatment strategies for
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  • The study focuses on nonagenarians (people aged 90 and older) with cardiovascular disease, highlighting that they are often underrepresented in clinical trials, leading to a lack of effective management strategies.
  • Researchers compared nonagenarians admitted to a tertiary care coronary care unit with other patients over a three-year period, analyzing factors such as admission causes and in-hospital mortality rates.
  • Results showed nonagenarians had higher rates of comorbidities and a two-fold higher in-hospital mortality rate compared to younger patients, yet they showed generally positive outcomes post-admission, indicating the need for more targeted research on this age group.
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