Publications by authors named "F Haniff"

Coronavirus Disease 2019 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has become a worldwide pandemic. Since 2019, the virus has mutated into multiple variants that have made it harder to eradicate and have increased the rate of infection. This virus can affect the structure and the function of the heart and can lead to cardiovascular symptoms that can have long-lasting effects despite recovery from COVID-19.

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Cystic fibrosis (CF) is associated with frequent pulmonary exacerbations and the need for novel antibiotics against antimicrobial resistance. Cefiderocol is a newly approved therapeutic option active against a variety of multidrug resistant (MDR) bacteria such as gram-negative species commonly encountered by CF patients. This review describes the potential role of cefiderocol against , , , and complex.

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Nausea and vomiting are common within the palliative care population. Antiemetic agents may help control symptoms, but may also place patients at risk for QTc prolongation. This article reviews pharmacotherapy agents including anticholinergics, antihistamines, antidopaminergics, 5-HT3 receptor antagonists, dronabinol, and medical marijuana and their associated risk of QTc prolongation.

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What Is Known And Objective: Treatment with cystic fibrosis transmembrane conductance regulator (CFTR) modulators has led to improved clinical outcomes and an increase in lifespans of cystic fibrosis (CF) patients. As CF patients continue to live longer, they are at risk for developing adverse drug reactions associated with polypharmacy and CFTR modulators.

Comment: The authors aim to describe safety concerns of the current combination CFTR modulators, based upon a literature review, including notable safety concerns and recommendations for drug-drug interactions.

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Article Synopsis
  • Pre-eclampsia and eclampsia are serious complications of pregnancy that significantly contribute to maternal mortality, especially in low- and middle-income countries (LMICs), prompting the development of the miniPIERS risk prediction model for better risk assessment.
  • Data from over 2,000 women with hypertensive pregnancy disorders were analyzed using a logistic regression model, resulting in a prediction tool that considers various clinical factors such as gestational age and blood pressure to identify women at high risk of severe complications.
  • The miniPIERS model demonstrated good predictive accuracy, with an AUC ROC of 0.768 for internal validation and 0.713 for external validation, indicating its potential effectiveness in clinical settings despite some limitations related to its broad inclusion
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