We report a case of total occlusion of the left main coronary artery (LMCA) in a patient with chronic, stable angina. Total occlusion of the LMCA is rare and survival depends on the existence of collateral circulation. In LMCA disease, there is usually also disease in other parts of the coronary arterial tree.
An 84 year old man who presented with Stokes Adams syncope with exertion was found to have complete heart block on walking with reversion to sinus rhythm on recovery. The resting ECG showed evidence of ischemic heart disease with old anteroseptal and old inferior infarction but there was no recent myocardial infarction as shown by normal cardiac enzymes levels. The probable explanation for the mechanism and causation of the transient A-V block is described.
In the present paper, a fuzzy rule-based system (FRBS) is designed to serve as a decision support system for Coronary heart disease (CHD) diagnosis that not only considers the decision accuracy of the rules but also their transparency at the same time. To achieve the two above mentioned objectives, we apply a multi-objective genetic algorithm to optimize both the accuracy and transparency of the FRBS. In addition and to help assess the certainty and the importance of each rule by the physician, an extended format of fuzzy rules that incorporates the degree of decision certainty and importance or support of each rule at the consequent part of the rules is introduced. Furthermore, a new way for employing Ensemble Classifiers Strategy (ECS) method is proposed to enhance the classification ability of the FRBS. The results show that the generated rules are humanly understandable while their accuracy compared favorably with other benchmark classification methods. In addition, the produced FRBS is able to identify the uncertainty cases so that the physician can give a special consideration to deal with them and this will result in a better management of efforts and tasks. Furthermore, employing ECS has specifically improved the ability of FRBS to detect patients with CHD which is desirable feature for any CHD diagnosis system.
Silent myocardial ischaemia is now well-recognised in patients with symptomatic coronary artery disease. Its pathogenesis remains speculative, though diminished sensitivity to pain is thought to be one of the mechanisms involved. Because cardiovascular autonomic dysfunction occurs frequently in diabetic patients, we postulate that it contributes towards painless myocardial ischaemia among them. Forty consecutive diabetic (type II) male patients and ten normal volunteers were studied. Using 5 previously-validated noninvasive tests for autonomic dysfunction, 14 of these diabetic men had definite autonomic neuropathy (at least 2 abnormal tests). All 50 subjects were then exercised on a motor-driven treadmill to either exhaustion or chest pains. Thirty-three diabetic subjects were tested positive, with significant (greater than 1 mm) ST segment depression over at least 2 contiguous leads. Of these, 18 were associated with typical angina but the other 15 stopped because of fatigue or exhaustion (ie painless). Thirteen subjects who had definite autonomic neuropathy (AN+) had positive exercise ECG tests-10 had painless ischaemia, and only 3 had angina. This contrasted with 15 patients who had painful ischaemia and 5 who had painless ischaemia among the group without (AN-)autonomic dysfunction (p = 0.0047, Fisher's exact test). There were no significant differences among the various groups for peak rate-pressure-product, all subjects attaining similar maximal oxygen consumption states during which ischaemic ST segment changes were noted (painful AN+: 21917 +/- 4753; painless AN+: 20117 +/- 6752; painful AN-: 16544 +/- 4063; painless AN-: 22220 +/- 4341, p = NS).(ABSTRACT TRUNCATED AT 250 WORDS)
A hybrid neural network comprising Fuzzy ARTMAP and Fuzzy C-Means Clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification task are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods.
Antithrombotic therapy with heparin plus antiplatelets reduces the rate of ischemic events in patients with coronary heart disease. Low molecular weight heparin has a more predictable anticoagulant effect than standard unfractionated heparin, is easier to administer, does not require monitoring and is associated with less ADRs. The purpose of the present study was to evaluate and compare the clinical and cost outcomes of Enoxaparin with a standard unfractionated heparin in patients with coronary heart disease.