Acute cardiac care

Author(s):  
Susanna Price ◽  
Roxy Senior ◽  
Bogdan A. Popescu

Echocardiography is fundamental to the assessment and management of patients with acute cardiac disease, and differs from outpatient echocardiography in some key areas. Echocardiography provides important information throughout the whole patient pathway, having been shown to change interventions in 60–80% patients in the pre-hospital setting, improve diagnostic accuracy and efficiency in the emergency room, and reveal the aetiology of unexplained hypotension in 48% of medical intensive care patients. Echocardiography is now included in the universal definition of acute myocardial infarction, and in international guidelines regarding the management of cardiac arrest. In the critical care setting, echocardiography can be used to as a haemodynamic monitor, to determine abnormalities of cardiac physiology and coronary perfusion, as well as defining the underlying cardiac diagnosis. This chapter focuses on situations relevant to acute cardiac care, however, where discussed elsewhere in this textbook (acute coronary syndromes, pulmonary embolism, takotsubo, aortic disease, pericarditis, cardiomyopathies, heart failure, and valvular disease) they are not covered in detail here.

2011 ◽  
Vol 64 (10) ◽  
pp. 845-849 ◽  
Author(s):  
Paul O Collinson

Sensitive troponin assays have been developed to meet the diagnostic goals set by the universal definition of myocardial infarction (MI). The analytical advantages of sensitive troponin assays include improved analytical imprecision at concentrations below the 99th percentile and the ability to define a reference distribution fully. Clinically, the improved sensitivity translates into the ability to diagnosis MI earlier, possibly within 3 h from admission and the ability to use the rate of change of troponin (Δ troponin) for diagnosis. Very sensitive assays may, in appropriately selected populations (perhaps with the addition of Δ troponin), allow diagnosis on hospital admission or within 1–2 h of admission. An elevated troponin level occurring in patients without suspected acute coronary syndromes has, in all studies to date in which outcome has been examined, been shown to indicate an adverse prognosis whatever the underlying clinical diagnosis. Failure of elevation means a good prognosis allowing early, safe hospital discharge, whereas a raised value requires investigation and should help prevent clinically significant pathology being overlooked. Sensitive troponins do present a challenge to the laboratory and the clinician. For the laboratory, the diagnosis of MI requires a change in troponin value. For the clinician, the challenge is to shift from a simplistic yes/no diagnosis of MI based on a single troponin value to a diagnosis that utilises early troponin changes as part of the clinical picture, and to relate the new class of detectable troponin elevation in patients with ischaemic myocardial disease to existing clinical guidelines and trial evidence.


CJC Open ◽  
2020 ◽  
Author(s):  
Athanasios Koutsoukis ◽  
Clément Delmas ◽  
François Roubille ◽  
Laurent Bonello ◽  
Guillaume Schurtz ◽  
...  

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1389
Author(s):  
Julia García Cabello ◽  
Pedro A. Castillo ◽  
Maria-del-Carmen Aguilar-Luzon ◽  
Francisco Chiclana ◽  
Enrique Herrera-Viedma

Standard methodologies for redesigning physical networks rely on Geographic Information Systems (GIS), which strongly depend on local demographic specifications. The absence of a universal definition of demography makes its use for cross-border purposes much more difficult. This paper presents a Decision Making Model (DMM) for redesigning networks that works without geographical constraints. There are multiple advantages of this approach: on one hand, it can be used in any country of the world; on the other hand, the absence of geographical constraints widens the application scope of our approach, meaning that it can be successfully implemented either in physical (ATM networks) or non-physical networks such as in group decision making, social networks, e-commerce, e-governance and all fields in which user groups make decisions collectively. Case studies involving both types of situations are conducted in order to illustrate the methodology. The model has been designed under a data reduction strategy in order to improve application performance.


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