Models predicting success of infertility treatment: a systematic review

Background: Infertile couples are faced with problems that affect their marital life. Infertility treatment is expensive and time consuming and occasionally isn't simply possible. Prediction models for infertility treatment have been proposed and prediction of treatment success is a new field in infertility treatment. Because prediction of treatment success is a new need for infertile couples, this paper reviewed previous studies for catching a general concept in applicability of the models

Methods: This study was conducted as a systematic review at Avicenna Research Institute in 2015. Six data bases were searched based on WHO definitions and MESH key words. Papers about prediction models in infertility were evaluated

Results: Eighty one papers were eligible for the study. Papers covered years after 1986 and studies were designed retrospectively and prospectively. IVF prediction models have more shares in papers. Most common predictors were age, duration of infertility, ovarian and tubal problems

Conclusion: Prediction model can be clinically applied if the model can be statistically evaluated and has a good validation for treatment success. To achieve better results, the physician and the couples' needs estimation for treatment success rate were based on history, the examination and clinical tests. Models must be checked for theoretical approach and appropriate validation. The privileges for applying the prediction models are the decrease in the cost and time, avoiding painful treatment of patients, assessment of treatment approach for physicians and decision making for health managers. The selection of the approach for designing and using these models is inevitable

[ cross-sectional study of Latex allergy among operation room staff of hospitals of Tehran university of medical sciences, 1380-1381]

Latex allergy is a major occupational disease with prevalence nearly 5-17% among the health care workers. To determine the prevalence of latex glove allergy and its contributing factors among operation room staff. In this study, 512 operation room staff were evaluated for latex allergy, using a complete questionnaire. Those suspected to have latex allergy underwent these tests: Eosinophils counting, measurement of serum total and latex specific IgE, latex skin prick test, latex and glove additives patch test. From evaluated staff, 178 [34.8%] had a history of sensitivity to latex gloves, from which 59 persons underwent the tests voluntarily. According to the results of the tests, 13 [22%] had type I allergy to latex, 3 [5.1%] had type IV allergy to latex and 9 [15.3%] had both allergies. There were no significant relationship between latex allergy and age, sex, job, season, family and personal history of allergies. Significant relationship was found between type I allergy to latex and allergy to kitchen gloves and also between type IV allergy and allergy to other plastic clothing. Prevalence of latex allergy in this study is much higher than similar studies, which demands more evaluation to determine the contributing factors