
The clinical data of 185 patients with rheumatic heart disease (RHD) proved by pathological biopsies were recorded before operations, and analysed using the stepwise regression analysis of multi-factors (SRAM). A mathematical formula to judge the activities of rheumatism in RHD was applied. The multi-factors were put in order according to their importance in effect: progressive reduction of cardiac function (age less than 30), sustained atrial fibrillation, recent changes in heart murmur or onset of a new murmur, paroxysmal atrial fibrillation, speed-up of erythrocyte sedimentation rate and acute pulmonary edema (age less than 30). 310 cases of RHD were tested and verified by this formula, 85.5% of them were diagnosed correctly in comparison with Aschoff's bodies observed by pathological biopsies in left cardiac atrial appendages. All cases were operated and confirmed by pathological examination. The presence of Aschoff's bodies in atrial appendages was considered the index of active rheumatism pathologically.
Adult, Risk Factors, Chronic Disease, Rheumatic Heart Disease, Humans, Regression Analysis, Rheumatic Nodule, Retrospective Studies
Adult, Risk Factors, Chronic Disease, Rheumatic Heart Disease, Humans, Regression Analysis, Rheumatic Nodule, Retrospective Studies
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
