51 research outputs found

    Childhood Physical Abnormalities following Paternal Exposure to Sulfur Mustard Gas in Iran: a Case-Control Study

    Get PDF
    BACKGROUND:Mustard gas, a known chemical weapon, was used during the Iran-Iraq war of 1980-1988. We aimed to determine if exposure to mustard gas among men was significantly associated with abnormalities and disorders among progenies.METHODS:Using a case-control design, we identified all progenies of Sardasht men (exposed group, n = 498), who were born at least nine months after the exposure, compared to age-matched controls in Rabat, a nearby city (non-exposed group, n = 689). We conducted a thorough medical history, physical examination, and appropriate paraclinical studies to detect any physical abnormality and/or disorder. Given the presence of correlated data, we applied Generalized Estimating Equation (GEE) multivariable models to determine associations.RESULTS:The overall frequency of detected physical abnormalities and disorders was significantly higher in the exposed group (19% vs. 11%, Odds Ratio [OR] 1.93, 95% Confidence Interval [CI], 1.37-2.72, P = 0.0002). This was consistent across sexes. Congenital anomalies (OR 3.54, 95% CI, 1.58-7.93, P = 0.002) and asthma (OR, 3.12, 95% CI, 1.43-6.80, P = 0.004) were most commonly associated with exposure. No single abnormality was associated with paternal exposure to mustard gas.CONCLUSION:Our study demonstrates a generational effect of exposure to mustard gas. The lasting effects of mustard gas exposure in parents effects fertility and may impact child health and development in the long-term

    Testosterone and resistance training effects on muscle nitric oxide synthase isoforms in COPD men

    Get PDF
    SummaryBackgroundSkeletal muscle dysfunction contributes to exercise limitation in COPD. The role of the nitric oxide synthase (NOS) system in muscle dysfunction is ill defined. Reduced levels of endothelial NOS (eNOS) and elevated levels of inducible NOS (iNOS) in the skeletal muscle of COPD patients have been recently reported. We hypothesized that resistance exercise training (R) and/or testosterone supplementation (T) would alter the transcription and expression of the NOS isoenzymes in COPD skeletal muscle.MethodsVastus lateralis biopsies were obtained before and after a 10-week intervention in 40 men with severe COPD(age 67.7 Ā± 8.3, FEV1 41.4 Ā± 12.6% predicted): placeboĀ +Ā no training (P) (nĀ =Ā 11), placeboĀ +Ā resistance training (PR) (nĀ =Ā 8), testosteroneĀ +Ā no training (T) (nĀ =Ā 11) and testosteroneĀ +Ā resistance training (TR) (nĀ =Ā 10) groups. eNOS, nNOS and iNOS mRNA and protein levels were measured in each sample. mRNA and protein levels were measured using real-time PCR and enzyme-linked immunosorbant assay, respectively.ResultseNOS mRNA increased in the TR group compared to P and T groups (PĀ <Ā 0.001). eNOS protein was increased in TR and T groups after intervention (PĀ <Ā 0.05) but not in the PR group. nNOS protein increased in the PR, T, and TR groups (PĀ <Ā 0.05). iNOS protein decreased only in the TR group (PĀ =Ā 0.01).ConclusionResistance training and testosterone supplementation increased eNOS and nNOS proteins and decreased iNOS protein in the skeletal muscles of men with COPD. These changes in NO system might explain some of the favorable effects of these therapies

    Hydatidosis of the Pelvic Cavity: A Big Masquerade

    Get PDF
    We report and discuss a case of primary hydatidosis of the pelvic cavity in a woman who presented with severe weight loss and abdominal pain. This unusual presentation was initially considered as a tumor process until surgical exploration and microscopic studies confirmed the diagnosis. The gynecologists should be aware of possibility of primary hydatid cyst of the pelvic cavity and should be considered in the differential diagnosis of cystic pelvic masses, especially in areas where the disease is endemic

    Population attributable risk for diabetes associated with excess weight in Tehranian adults: a population-based cohort study

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Little evidence exists regarding the magnitude of contribution of excess weight to diabetes in the Middle East countries. This study aimed at quantification of the impact of overweight and obesity on the incidence of type 2 diabetes mellitus (T2DM) at a population level in Tehran, Iran.</p> <p>Methods</p> <p>Using data of a population-based short-term cohort study in Iran, which began in 1997 with 3.6-year follow-up, we calculated the adjusted odds ratios (OR) and population attributable risks (PAR) of developing T2DM, i.e. the proportion of diabetes that could have been avoided had overweight and/or obesity not been present in the population.</p> <p>Results</p> <p>Of the 4728 subjects studied, aged ā‰„ 20 years, during the 3.6-year follow-up period, 3.8% (n = 182) developed T2DM. This proportion was 1.4%, 3.6%, and 7.8% for the normal, overweight, and obese subjects, respectively. When compared to normal BMI, the adjusted ORs for incident diabetes were 1.76 [95% confidence interval (CI) 1.07 to 2.89] for overweight and 3.54 (95% CI 2.16 to 5.79) for obesity. The PARs adjusted for family history of diabetes, age, triglycerides, systolic blood pressure was 23.3% for overweight and 37.1% for obesity. These figures were 7.8% and 26.6% for men and 35.3% and 48.3% for women, respectively.</p> <p>Conclusion</p> <p>Incident T2DM is mainly attributable to excess weight, significantly more so in Tehranian women than men. Nonetheless, the contribution of excess weight in developing T2DM was lower in our short-term study than that reported in long-term periods. This probably reflects the significant role of other risk factors of T2DM in a short-term follow-up. Hence, prevention of excess weight probably should be considered as a major strategy for reducing incidence of T2DM; the contribution of other risk factors in developing T2DM in short-term period deserve to be studied and be taken into account.</p

    Conceptualization of category-oriented likelihood ratio: a useful tool for clinical diagnostic reasoning

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>In the diagnostic reasoning process medical students and novice physicians need to be made aware of the diagnostic values of the clinical findings (including history, signs, and symptoms) to make an appropriate diagnostic decision. Diagnostic reasoning has been understood in light of two paradigms on clinical reasoning: <it>problem solving </it>and <it>decision making</it>. They advocate the reasoning strategies used by expert physicians and the statistical models of reasoning, respectively. Evidence-based medicine (EBM) applies <it>decision theory </it>to the clinical diagnosis, which can be a challenging topic in medical education.</p> <p>This theoretical article tries to compare evidence-based diagnosis with expert-based strategies in clinical diagnosis and also defines a novel concept <it>of category-oriented likelihood ratio (LR) </it>to propose a new model combining both aforementioned methods.</p> <p>Discussion</p> <p>Evidence-based medicine advocates the use of quantitative evidence to estimate the probability of diseases more accurately and objectively; however, the published evidence for a given diagnosis cannot practically be utilized in primary care, especially if the patient is complaining of a nonspecific problem such as abdominal pain that could have a long list of differential diagnoses. In this case, expert physicians examine the key clinical findings that could differentiate between broader categories of diseases such as organic and non-organic disease categories to shorten the list of differential diagnoses. To approach nonspecific problems, not only do the experts revise the probability estimate of specific diseases, but also they revise the probability estimate of the <it>categories of diseases </it>by using the available clinical findings.</p> <p>Summary</p> <p>To make this approach analytical and objective, we need to know how much more likely it is for a key clinical finding to be present in patients with one of the diseases of a specific category versus those with a disease not included in that category. In this paper, we call this value <it>category-oriented LR</it>.</p
    • ā€¦
    corecore