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Biomedical subjects

S Geller

Publications and source records attributed to S Geller.

63 records · Page 4Linked to original sources

Long-term health and predictors of survival for hyperthyroid cats treated with iodine 131.

Two hundred thirty-one cats treated with radioactive iodine at the Texas Veterinary Medical Teaching Hospital were followed for a median of 25 months by means of an ambidirectional (prospective, retrospective) cohort study design. Cox proportional hazards models were used to determine predictors of survival based on data at the time of hyperthyroid diagnosis (collected retrospectively) and found that only age at diagnosis and sex of the cat were predictors of survival. Increasing age (for each year of age, relative risk [RR] = 1.2, 95% confidence interval [CI] = 1.1-1.3) and being male (RR = 0.68, 95% CI = 0.5-0.9) increased likelihood of death. Tables predicting survival after diagnosis and treatment of hyperthyroidism for various age and sex combinations were created. In addition, Cox proportional hazard models were run with all data available at the end of the study (collected retrospectively and prospectively) including number and type of major health problems reported at the time of death or censoring. In this model, significant factors were age at diagnosis, sex, and either type of major health problem or number of health problems. Cats with renal disease or cancer were more likely not to survive and increasing from none to 2 health problems also decreased survival. Renal problems and cancer were the most common health problems at the time of death or censoring. This study provides estimates of duration of survival for cats successfully treated for hyperthyroidism with radioactive iodine, which can be useful in assisting with client treatment decisions.

Age Factors↗

[Luteal insufficiency and benign breast diseases. Study in the light of data from the combined LH-RH + TRH test together with the study of ovarian steroids].

Luteal deficiency has been attributed a patho-physiologic role in benign fibro-cystic breast disease, whereas Prolactin would not be involved in this disease. To tes these hypotheses, patients with fibro-cystic breast disease have been investigated through the combined LH-RH + TRH test, coupled with ovarian steroids estimations. 63 menstruating patients with ovulatory cycles, as evidenced by the temperature curve and proven fibro-cystic breast disease, as demonstrated by senography and thermogrphy and/or operation, have been selected for this study. The findings do not favour the role of luteal dificiency but rather the role of PRL hyperactivity in the pathol-physiology of fibro-cySTIC BREAST DISEASE.

Breast Diseases↗