Group A streptococci (GAS) of serotypes most commonly associated with rheumatic fever (RF) outbreaks differ from many other serotypes by the presence of a unique, surface-exposed epitope on the M protein molecule. Based on the presence or absence of this epitope, GAS are categorized as class I or II, respectively. The objective of this study was to determine whether RF patients have an altered immune response to the class I-specific epitope. Immunoreactivity to class I- and class II-specific epitopes was determined for serum IgG derived from persons with a recent history of acute RF, uncomplicated GAS pharyngitis, and no known recent GAS infection. The results indicate that only RF patients display elevated levels of serum IgG directed towards the class I-specific epitope; they lack immunoreactivity to the class II epitope. The serologic findings strongly suggest that many of the RF patients were recently infected with a class I GAS isolate.
The clinical diagnosis of acute rheumatic fever (ARF) may be challenging; however, a constellation of signs including new valvular insufficiency, cardiomegaly, and heart failure should readily prompt consideration of the diagnosis of rheumatic carditis. In addition, pulmonary findings are compatible with ARF, as associated pulmonary involvement may represent rheumatic pneumonia. We report the case of a young man with ARF and rheumatic pneumonia, a previously described but rare complication of ARF.
Mathematical models are presented for describing and analyzing indicator dilution curves recorded in patients with intracardiac and great vessel shunts. The models treat individual segments of the circulation as linear system blocks, each having, at its output, a characteristic time response to a rapid injection of indicator at its input. These blocks are combined in feedback and feed-forward configurations to simulate left-to-right, right-to-left, and bidirectional shunts. A shunt analysis algorithm, using discrete analogs of the linear system models, was implemented in a computer program and used to analyze thermodilution curves recorded in patients with congenital heart defects. Results are presented comparing shunt fractions obtained from thermodilution curve analyses with oximetrically determined values in 20 patients. Comparing left-to-right shunts measured by the two methods, the mean systematic difference was 0.7% of pulmonary flow and the standard deviation was 7.6% of pulmonary flow. Statistical validation of the bidirectional shunt method will require acquisition and analysis of more data; however, reasonable shunt fractions were computed in five cases studied and good agreement with oximetric determinations was obtained in two cases where complete oximetric data were available.
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