The response of various thyroid hormone parameters to maximal physical exercise (MPE) was investigated in 14 medium and long distance runners and 13 divers. The effects of submaximal long time physical exercise (SMPE) was examined in seven divers. The TSH-level decreases significantly during MPE and slightly rises again after the end of the exercise. In SMPE, however, TSH continuously rises until 15 min after the end of the exercise. The T3 level rises significantly in MPE and falls below the initial value 15 min after the exercise finishes, during SMPE it remains practically unchanged and slightly decreases after the finish. In MPE, the rT3 level does not change and slightly decreases after termination, while the fT4 level continuously decreases from the beginning till 15 min after the exercise period. The latter two parameters do not show any change in SMPE. As possible reasons for the changes of TSH levels a decrease (MPE) or an increase (SMPE) of pituitary secretion might play a role. Furthermore, in MPE the rise in T3 level might be related to hemoconcentration, and the decrease in fT4 level to an elevated cellular utilization.
The serum levels of FSH, LH, and testosterone were determined by radioimmunoassay in 63 men before, during, and after maximal and submaximal physical short- and long-term exercise (800-n running, climbing, 36-k cross-country skiing). In the 800-meter run, significant elevations of FSH, LH, and testosterone were observed, while in all other field and laboratory test (climbing, 36-km cross-country skiing, maximal stepwise bicycle and treadmill ergometry, 90-min submaximal bicycle ergometry) the hormone levels remained unchanged or were decreased. In contrast to FSH and LH, which did not show any clear modification with duration or intensity of exercise or with the state of training, changes of testosterone in the endurance field test (36-km cross-country skiing) seemed to be training dependent. In highly endurance-trained subjects, there was an increase and in less well-trained subjects a decrease of testosterone for equal distances and intensities of exercise.
Abstract. Zweiker R, Tiemann M, Eber B, Schumacher M, Fruhwald FM, Lipp R, Lax S, Pristautz H, Klein W (University of Graz and Hospital of Wagna, Austria). Bradydysrhythmia-related presyncope secondary to pheochromocytoma (Case report). J Intern Med 1997; 242: 249-53.Pheochromocytoma endures as a life-threatening disorder. In the absence of systemic hypertension, diagnosis may be difficult. We present a 46-year-old normotensive male with a history of presyncope. One of these episodes could be documented, and revealed symptomatic bradycardia suspicious of sinus node arrest. Due to hints of an elevated sympathetic tone (Schellong test, circadian blood pressure pattern without diurnal rhythm) 24-h urinary catecholamine concentrations were measured and found increased. MIBG-scintigraphy and abdominal-computed tomography indicated the location of the pheochromocytoma. After removal of the tumour, no further episodes of presyncopes or bradydysrhythmias were observed.
To evaluate the optimal discriminators for peripheral atherosclerosis, we studied retrospectively 49 male patients and 39 male controls between 40 and 60 years of age. In addition to hypertension, cigarette smoking, diabetes mellitus, and hyperuricemia, we determined the most common tipids, lipoproteins, and apolipoproteins. Highly significant differences of median values between patients and controls in decreasing order of magnitude were recorded for apo A-ll/apo B, apo A-l/apo B, apo B, total cholesterol, and LDL-cholesterol. A retrospective classification of patients and controls under optimal conditions with one variable (apo A-l/apo B) yielded an error rate of 25%. We found that apolipoproteins were better discriminators for peripheral atherosclerosis than were liplds or lipoprotein lipids. The application of a linear regression discriminant analysis including all 29 variables greatly decreased the rate of error and increased the sensitivity and specificity of the classification. From 2 29 possible models, we used an economic selection strategy to sort out those which either gave the best segregation or were considered the most practicable. The optimal model with 14 variables gave an error rate of less than 5% for the group studied. Suboptimal models yielded error rates between 13% and 18%. We conclude that a mathematical treatment of laboratory data which includes lipid parameters in addition to apolipoprotein values can improve the classification of peripheral vascular atherosclerosis. (Arteriosclerosis 3:57-63, January/February 1983)
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