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S Ever-Hadani

Publications and source records attributed to S Ever-Hadani.

4 recordsLinked to original sources

Absence of an association between rubella vaccination and arthritis in underimmune postpartum women.

In a double-blind historical cohort study, 485 underimmune women who received rubella vaccine post-partum during 1985-1990 and 493 controls matched for age, place of residence and date of delivery were queried by phone concerning joint complaints following the pregnancy in question. Those reporting joint symptoms were invited for a personal interview at which joint symptoms and dates of their occurrence were explored in detail. Nineteen women in the vaccinated group (3.9%) and 16 from the control group (3.2%) were judged to have had joint symptoms compatible with the study definition of arthritis. The difference was not statistically significant. Thus, we were unable to find evidence for an association between rubella vaccination of underimmune adult women vaccinated post-partum and the subsequent development of arthritis. Rubella vaccine should continue to be used to immunize susceptible adult women against rubella in order to further the goal of elimination of the congenital rubella syndrome.

Adolescent↗

Toxoplasmosis in Israel, 1970--73: evaluation of laboratory data.

Sera from 7,506 patients were examined for toxoplasma antibodies by the Sabin-Feldman dye test and the results were analyzed according to antibody level, by reason for referral, age and sex. Low antibody levels (less than 1:256) were found in 24.7% and significant titers (greater than or equal to 1:256), in 9.96%. The highest prevalence of significant antibody titers was in patients with lymphadenopathy (15.4%). The prevalence of significant titers was high in the age range of 5 to 19 years, whereas the prevalence of low titers rose with age. Toxoplasma antibodies were found in 29% of a control group of 554 apparently healthy adult women, but only in 2.7% was the titer significant.

Adolescent↗

Computer study of thyroid diseases. III. Statistical models.

A binary-variable multiple-regression model is proposed for the computer diagnosis of thyroid disease. The procedure employs a multiple-regression technique in which each variable is assigned a value of either unity or zero. Unlike other current approaches, the proposed model uses only information about the patients themselves; no prior knowledge of the incidence of the disease in the population under study is required. The model was applied to data on 906 patients with suspected thyroid disorders referred to endocrine clinics in Israel. On the basis of simple physical findings and clinical signs and symptoms, the correct diagnosis was obtained in 95% of the cases for males and in 85% for females.

Diagnosis, Computer-Assisted↗