Assessment of ovarian reserve: Anti-Mullerian hormone versus follicle stimulating hormone.

BACKGROUND: This study aimed to evaluate the strength of anti-Mullerian hormone (AMH) and follicle stimulating hormone (FSH) in reflecting the antral follicle count (AFC) in infertile females. MATERIALS AND METHODS: This cross-sectional study was conducted on 160 females, visiting infertility clinic for assisted reproduction. Serum samples collected on the 3rd day of the cycle were assayed for FSH, luteinizing hormone, and AMH while AFC was assessed via transvaginal ultrasound. The study cohort was segregated into three groups based on AFC. RESULTS: Chronological age and FSH was significantly high in females with very low AFC (P < 0.01 and 0.009, respectively), yet they failed to discriminate patients with normal and higher follicle count (P = 0.65 and 0.84). Conversely, AMH reported highly significant difference between very low AFC and with those having either normal AFC (P = 0.002) or higher AFC (P = 0.001). Moreover, a significant difference in AMH was observed between normal and higher AFC group (P = 0.04). CONCLUSION: Compared to female's age and FSH, AMH is superior in clustering study cohort on the bases of antral follicular pool, especially in setups with nonavailability of technological expertise to assess AFC. Incorporation of AMH along with other biomarkers improves estimation of baseline ovarian reserve, required to standardize dose for optimum response; avoiding the risk of failure to retrieve oocyte or inappropriate stimulation leading to ovarian hyperstimulation syndrome. Further prospective studies are required to ascertain its role in predicting the outcomes of ART in such patients.

Substance use patterns among high-risk American Indians/Alaska Natives in Los Angeles County.

BACKGROUND: Substance abuse among American Indians/Alaska Natives (AI/ANs) is a significant and long-standing health problem in the U.S. Two-thirds of American AIs/ANs reside in the urban setting. However, studies analyzing substance use characteristics among urban AI/ANs are very limited. METHODS: Substance use patterns among a sample of AI/ANs (n = 77) and other ethnic/racial groups in Los Angeles County at high risk of substance abuse were analyzed utilizing three datasets from programs targeting individuals at high risk for substance abuse and risky sexual behaviors. RESULTS: Compared to all other ethnic/racial groups, AI/ANs demonstrated significantly younger age of onset of alcohol, marijuana, methamphetamine, and "other" drug use, higher correlations of age of first use of amphetamine with a measure of the drug's reinforcement, and higher mean number of illicit drug injections in the 30 days before being interviewed. CONCLUSIONS: Results from this study highlight a critical need for furthering our understanding of substance abuse problems among urban AI/ANs.

Three-dimensional Visualization Software Assists Learning in Students with Diverse Spatial Intelligence in Medical Education.

This study evaluated effect of mental rotation (MR) training on learning outcomes and explored effectiveness of teaching via three-dimensional (3D) software among medical students with diverse spatial intelligence. Data from n = 67 student volunteers were included. A preliminary test was conducted to obtain baseline level of MR competency and was utilized to assign participants to two experimental conditions, i.e., trained group (n = 25) and untrained group (n = 42). Data on the effectiveness of training were collected to measure participants' speed and accuracy in performing various MR activities. Six weeks later, a large class format (LCF) session was conducted for all students using 3D software. The usefulness of technology-assisted learning at the LCF was evaluated via a pre- and post-test. Students' feedback regarding MR training and use of 3D software was acquired through questionnaires. MR scores of the trainees improved from 25.9±4.6 points to 28.1±4.4 (P = 0.011) while time taken to complete the tasks reduced from 20.9±3.9 to 12.2±4.4 minutes. Males scored higher than females in all components (P = 0.016). Further, higher pre- and post-test scores were observed in trained (9.0±1.9 and 12.3±1.6) versus untrained group (7.8±1.8; 10.8±1.8). Although mixed-design analysis of variance suggested significant difference in their test scores (P < 0.001), both groups reported similar trend in improvement by means of 3D software (P = 0.54). Ninety-seven percent of students reported technology-assisted learning as an effective means of instruction and found use of 3D software superior to plastic models. Software based on 3D technologies could be adopted as an effective teaching pedagogy to support learning across students with diverse levels of mental rotation abilities.