Chest pain is one of the most important reasons of Emergency Department arrivals (5% of total). As it is not possible to rule-in all patients claiming chest pain, it has been proposed to create new departments to monitor these patients during some hours, in order to exclude or confirm an acute coronary syndrome. These departments are named Chest Pain Units (CPUs). The Chest Pain Unit has been created since June 1998 in Alessandria Hospital "SS. Antonio e Biagio e C. Arrigo". Chest Pain Unit patients presenting in Emergency Department with an unclear defined chest pain are submitted to a continuous ECG monitoring of S-T trend for 24 h. Moreover, cardiac markers such as myoglobin, mass CK-MB and Troponin-I are tested at arrival and Troponin-I is tested again serially 3, 6, 9, 18 h after the first sampling. It is really important to be able to measure these markers of myocardial damage with robust and quick methods. A point-of-care analyzer is available in our chest pain unit and enables our department to obtain results in a very short time at low cost and with quality similar to that of clinical chemistry laboratories' instruments. This easy-to-use analyzer can be run by nurses without interfering in their normal activities. The presentation of our experience will be completed by describing all patients admitted in our Chest Pain Units from January to June 1998.
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http://dx.doi.org/10.1016/s0009-8981(01)00561-7 | DOI Listing |
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
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Department of Cardiology, MedStar Georgetown University Hospital, Washington, DC, USA.
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Department of Cardiology, Azorg, Merestraat 80, 9300 Aalst, Belgium.
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Child and Adolescent Center, Hospital CUF Descobertas, R. Mário Botas S/N, 1998-018 Lisboa, Portugal.
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