Publications by authors named "T F Kahan"

Aims: A simplified version of the history, electrocardiogram, age, risk factors, troponin (HEART) score, excluding troponin, has been proposed to rule-out major adverse cardiac events (MACEs). Computerized history taking (CHT) provides a systematic and automated method to obtain information necessary to calculate the HEAR score. We aimed to evaluate the efficacy and diagnostic accuracy of CHT in calculating the HEAR score for predicting MACE.

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Background: Intravenous (IV) steroids are commonly used to treat acute flares of Crohn's disease (CD). However, it is unclear if they are beneficial in the setting of uncomplicated small bowel obstruction (SBO). We sought to examine if IV steroid administration improved short-term outcomes in patients with CD hospitalized for acute, uncomplicated SBO across three New York City hospital systems.

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Aim: To explore the impact of age on the discriminative ability of the National Early Warning Score (NEWS) 2 in prediction of unanticipated Intensive Care Unit (ICU) admission, in-hospital cardiac arrest (IHCA) and mortality within 24 hours of Rapid Response Team (RRT) review. Furthermore, to investigate 30- and 90-day mortality, and the discriminative ability of NEWS 2 in prediction of long-term mortality among RRT-reviewed patients.

Methods: Prospective, multi-centre study based on 830 complete cases.

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Purpose: Studies on antihypertensive treatment are important, as hypertension remains the major risk factor for cardiovascular morbidity and premature death. However, antihypertensive medicines are also used for other conditions, and the use of these medicines as a proxy for a diagnosis of hypertension might lead to misclassification in pharmacoepidemiological studies. This study aimed to investigate to what extent people dispensed antihypertensive medicines have been diagnosed with hypertension.

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In the indoor environment, occupants are exposed to air pollutants originating from continuous indoor sources and exchange with the outdoor air, with the highest concentration episodes dominated by activities performed indoors such as cooking and cleaning. Here we use the INdoor CHEMical model in Python (INCHEM-Py) constrained by measurements from the House Observations of Microbial and Environmental Chemistry (HOMEChem) campaign, to investigate the impact of a bleach cleaning event and cooking on indoor air chemistry. Measurements of the concentrations of longer-lived organic and inorganic compounds, as well as measured photolysis rates, have been used as input for the model, and the modelled hydroxyl (OH) radicals, hydroperoxyl radicals, and nitrous acid (HONO) concentrations compared to the measured values.

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