Publications by authors named "Faraz Ahmad"

Background: Diagnosis of cardiac amyloidosis (CA) is often missed or delayed due to confusion with other causes of increased left ventricular wall thickness. Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) has shown promise in distinguishing CA, but with limited specificity. We conducted a study to investigate the performance of a computer vision detection algorithm in across multiple international sites.

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The increasing risk of drug-resistant infections and unexpected pandemics like Covid-19 has prompted researchers to explore the area of drug repurposing. Natural products, being a result of the evolutionary optimisation processes can be potential starting points for such drug discovery programs. One such unexplored chemical is terrein, a secondary fungal metabolite.

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Background: Clinical guidelines recommend medications from four drug classes, collectively referred to as quadruple therapy, to improve outcomes for patients with heart failure with reduced ejection fraction (HFrEF). Wide gaps in uptake of these therapies persist across a range of settings. In this qualitative study, we identified determinants (i.

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This review examines the glycemic impact of cereal and legume-based bakery products and their potential role in chronic disease management, particularly in type II diabetes and cardiovascular diseases. The primary objective is to assess the glycemic index (GI) and glycemic load (GL) of bakery products made from cereals such as wheat and barley, and legumes like chickpeas, and to explore their effects on postprandial blood glucose response. Cereal-based products typically exhibit higher GIs (55-80), while legume-based bakery products demonstrate lower GIs (40-50), potentially contributing to better glycemic control.

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Background and aims Cyanoacrylate glue (CAG) is the standard of care for gastric varices (GVs) but has serious complications too. The literature is scarce on determining the safe and effective amount of glue before the procedure objectively. Our study aimed to fill this gap.

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Background: The lack of automated tools for measuring care quality limits the implementation of a national program to assess guideline-directed care in heart failure with reduced ejection fraction (HFrEF).

Objectives: The authors aimed to automate the identification of patients with HFrEF at hospital discharge, an opportunity to evaluate and improve the quality of care.

Methods: The authors developed a novel deep-learning language model for identifying patients with HFrEF from discharge summaries of hospitalizations with heart failure at Yale New Haven Hospital during 2015 to 2019.

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Article Synopsis
  • * A study found that as age increases, the likelihood of older adults receiving antiviral treatment decreases, with only 35.2% of those aged 90 and above receiving it.
  • * Among patients aged 65 and older, those who did not receive antiviral treatment were more likely to suffer severe outcomes, indicating a need for improved antiviral access for older populations.
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  • The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides updated recommendations for clinicians to evaluate and manage the cardiovascular health of adult patients undergoing noncardiac surgeries.
  • A comprehensive literature search was conducted from August 2022 to March 2023 to gather relevant clinical studies and reviews published in English, ensuring the guidelines are evidence-based.
  • The new guideline replaces the older 2014 version, incorporating updated findings and offering specific strategies for managing cardiovascular disease during the perioperative period, including medication and monitoring techniques.
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Aim: The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery.

Methods: A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

Structure: Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline.

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Purpose: Biallelic INPP4A variants have recently been associated with severe neurodevelopmental disease in single case reports. Here, we expand and elucidate the clinical-genetic spectrum and provide a pathomechanistic explanation for genotype-phenotype correlations.

Methods: Clinical and genomic investigations of 30 individuals were undertaken alongside molecular and in silico modelling and translation reinitiation studies.

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Objectives: This study aimed to evaluate the aetiology, management and outcomes of convulsive status epilepticus (CSE) in children and highlight the factors influencing patient outcomes in such cases.

Methods: In a retrospective study spanning the 2020-2023 period, 93 children with CSE treated at Sultan Qaboos University Hospital's emergency department (ED), high dependency unit (HDU) and intensive care unit (ICU) were analysed. The Modified Rankin Scale at discharge was used to determine CSE outcomes.

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Background: Music elicits multifactorial benefits in emotional, social, cognitive, and academic aspects of human life. Music is clinically proven to reduce stress and anxiety, and improve mood and self-expression, particularly after traumatic events. Studies have also demonstrated that music promotes parasympathetic autonomic systems, suppresses hyperactivation of stress responses, and boosts immune functions.

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Background: Emerging data suggest that glucagon-like peptide-1 receptor agonists (GLP-1 RAs) improve kidney outcomes for people with type 2 diabetes (T2D). Direct comparisons of the kidney and cardiovascular effectiveness of GLP-1 RA with sodium-glucose cotransporter 2 inhibitors (SGLT2i), a first-line therapy for this population, are needed.

Objectives: The authors compared kidney and cardiovascular outcomes for new users of SGLT2i and GLP-1 RAs with T2D.

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Purpose: Diabetes mellitus (DM) and epilepsy and the psychological and socio-economic implications that are associated with their treatments can be quite perplexing. Metformin is an antihyperglycemic medication that is used to treat type 2 DM. In addition, metformin elicits protective actions against multiple diseases, including neurodegeneration and epilepsy.

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Background: Schizophrenia is a heterogeneous chronic psychiatric disorder influenced by genetic and environmental factors. Environmental factors can alter epigenetic marks, which regulate gene expression and cause an array of systemic changes. Several studies have demonstrated the association of epigenetic modulations in schizophrenia, which can influence clinical course, symptoms, and even treatment.

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Introduction: The rapid development of artificial intelligence (AI) in healthcare has exposed the unmet need for growing a multidisciplinary workforce that can collaborate effectively in the learning health systems. Maximizing the synergy among multiple teams is critical for Collaborative AI in Healthcare.

Methods: We have developed a series of data, tools, and educational resources for cultivating the next generation of multidisciplinary workforce for Collaborative AI in Healthcare.

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This meta-analysis examined the effectiveness of exercise interventions in reducing fatigue and depression among women undergoing chemotherapy for breast cancer. The study followed PRISMA guidelines and analysed seven randomized controlled trials between 2016 and 2022. The results showed that exercise can substantially reduce fatigue levels (MD: -0.

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Article Synopsis
  • Hypertension is a major risk factor for serious health conditions, and there’s potential for artificial intelligence (AI) to improve how it's diagnosed and managed.* -
  • AI technologies, particularly machine learning, could personalize treatment and enhance blood pressure monitoring, but effective collaboration among health professionals and data scientists is crucial.* -
  • A workshop by the National Heart, Lung, and Blood Institute highlighted communication gaps in healthcare, innovative methods for managing hypertension, and challenges to implementing AI in real-world settings.*
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Background: Most risk prediction models are confined to specific medical conditions, thus limiting their application to general medical populations.

Objectives: The MARKER-HF (Machine learning Assessment of RisK and EaRly mortality in Heart Failure) risk model was developed in heart failure (HF) patients. We assessed the ability of MARKER-HF to predict 1-year mortality in a large community-based hospital registry database including patients with and without HF.

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Importance: Chronic kidney disease (CKD) is an often-asymptomatic complication of type 2 diabetes (T2D) that requires annual screening to diagnose. Patient-level factors linked to inadequate screening and treatment can inform implementation strategies to facilitate guideline-recommended CKD care.

Objective: To identify risk factors for nonconcordance with guideline-recommended CKD screening and treatment in patients with T2D.

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Zika virus (ZIKV) is a re-emerging RNA virus that is known to cause ocular and neurological abnormalities in infants. ZIKV exploits autophagic processes in infected cells to enhance its replication and spread. Thus, autophagy inhibitors have emerged as a potent therapeutic target to combat RNA viruses, with Hydroxychloroquine (HCQ) being one of the most promising candidates.

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Objectives: Hypertension affects 1 in 3 adults in the United States and disproportionately affects African Americans. Kaiser Permanente demonstrated that a "bundle" of evidence-based interventions significantly increased blood pressure control rates. This paper describes a multiyear process of developing the protocol for a trial of the Kaiser bundle for implementation in under-resourced urban communities experiencing cardiovascular health disparities during the planning phase of this biphasic award (UG3/UH3).

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Article Synopsis
  • Wearable devices for health tracking are rising in popularity and have the potential to revolutionize health care, especially in managing cardiovascular diseases.
  • There is a need for an interoperability framework that connects various health systems to enable better data usage, but current systems are often incompatible, hindering progress.
  • This statement discusses best practices and challenges related to data interoperability, including integration issues, application in clinical settings, and important regulatory and ethical considerations.
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Background: New Delhi metallo-beta-lactamase-1 (NDM1) confers resistance to several bacterial species against a broad range of beta-lactam antibiotics and turning them into superbugs that pose a significant threat to healthcare systems worldwide. As such, it is a potentially relevant biological target for counteracting bacterial infections. Given the lack of effective treatment options against NDM1 producing bacteria, finding a reliable inhibitor for the NDM1 enzyme is crucial.

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