Therapeutic endoscopy: endoscopic removal of an unusual intragastric foreign body.
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Adult↗
Biomedical subjects
K T Ho
Publications and source records attributed to K T Ho.
Primary biliary cirrhosis in a Chinese female.
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China↗
Cronkhite-Canada syndrome in a Malay.
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Adult↗
Mortality review -- University Department of Medicine (II) and Department of Renal Medicine, Singapore General Hospital, 1974-75.
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Acute Disease↗
Morphological investigations on the metacercaria of Pagumogonimus skrjabini, with notes on the histochemical studies of its cyst wall.
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Animals↗
Prediction of severe coronary artery disease and long-term outcome in patients undergoing vasodilator SPECT.
BACKGROUND: Vasodilator perfusion imaging has not been extensively evaluated for predicting severe coronary artery disease (CAD) or long-term prognosis. METHODS AND RESULTS: The goals of this study were to develop a model to predict left main/3-vessel CAD in patients undergoing vasodilator thallium 201 imaging and coronary angiography (angiographic population) and to test the long-term prognostic value of this model in a separate cohort of patients who were not referred for angiography (prognostic population). In the angiographic population (n = 653) the chi2 value of the clinical model (containing the variables age, sex, and prior myocardial infarction) in the prediction of severe CAD was 32. The addition of 3 vasodilator Tl-201 variables (magnitude of ST-segment depression, summed reversibility score, and increased lung uptake) increased the model chi2 value to 114 (P <.001). Only 9% of predicted low-risk patients versus 57% of predicted high-risk patients had severe CAD. In the prognostic population (n = 521) survival rates free of cardiac death or myocardial infarction at 7 years were 91%, 73%, and 51%, respectively, for patient groups predicted to be at low, intermediate, and high risk of severe CAD (P <.001). CONCLUSIONS: Clinical and vasodilator Tl-201 variables can accurately predict the risk of severe CAD. Stress Tl-201 variables add incremental information to clinical variables. The same model also predicts patient outcome.
Adenosine↗