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Biomedical subjects

S G Self

Publications and source records attributed to S G Self.

38 records · Page 3Linked to original sources

Measurement of junctional acetylcholine receptors in myasthenia gravis: clinical correlates.

We measured the number of acetylcholine receptors (AChRs) at neuromuscular junctions (NMJs) in motor point biopsies from 76 patients with myasthenia gravis (MG) and 49 control subjects, using an alpha-bungarotoxin binding technique. The mean number of AChRs/NMJ was significantly lower (P less than 0.001) in muscles of MG patients (deltoid 0.7 +/- 0.1 X 10(7) than in controls (2.1 X 0.2 X 10(7). None of the control muscles had fewer than 0.9 X 10(7) AChRs/NMJ, and 75% of MG muscles were below that level. Conversely, 88% of controls had 1.5 X 10(7) or more AChRs/NMJ, whereas only one of the MG muscles (2.5%) was at or above that level. The reduction of AChRs correlated approximately with the clinical severity of weakness (P less than 0.02). Patients with focal weakness had reduced numbers of AChRs/NMJ in clinically strong muscles. The only other condition in which junctional AChRs were reduced was polymyositis. These findings in a large sample of patients confirm the reduction of junctional AChRs in MG, the relationship of available junctional AChRs to clinical manifestations, and the systemic nature of the disorder even in cases with focal weakness. Measurement of AChRs can be useful diagnostically in situations where other tests are inconclusive.

Adult↗

Aspects of the use of relative risk models in the design and analysis of cohort studies and prevention trials.

Relative risk regression methods provide a unifying and powerful approach to a range of problems in the design and analysis of cohort studies and prevention trials. Standard partial likelihood-based estimation procedures do not, however, encompass several features that are important in such contexts. Specifically, one may wish to relate disease rates marginally to 'recent' risk factor measurements, whereas a partial likelihood approach requires one to condition on an accumulating risk factor history. Secondly, risk factor values may be ascertained with considerable measurement error, thereby requiring specialized procedures to estimate relative risk parameters. Thirdly, analysis of raw materials to obtain desired covariate (risk factor) histories may involve considerable expense if carried out for the entire cohort. Case-control and case-cohort sampling procedures can avoid much of this expense, but once again partial likelihood estimation procedures require generalization. Such generalizations are described herein.

Blood Pressure↗