Impact of COVID-19 Pandemic on Clinical and Embryological Outcomes of Assisted Reproductive Techniques.

Background: The emergence of the COVID pandemic unfolded a series of precautions and dilemmas and the complete suspension of health services. With the gradual emergence of data showing near minimal effects of the virus on pregnancy, Assisted Reproductive Techniques (ART) services were gradually resumed following guidelines and advisories. Aim: The purpose of this study was to detect the COVID positivity rate in women undergoing ART treatment during the COVID pandemic and compare clinical and embryological outcomes to the ART cycles performed in the pre-COVID era. Study Setting and Design: This was a retrospective cohort study of all women undergoing controlled ovarian stimulation, followed by a fresh or frozen embryo transfer (ET) between 1st October 2019 and 31st March 2020 (control group) and between 1st April 2020 and 31st September 2020 (study group) at Nova IVF Fertility Clinic, Ahmedabad. Material and Methods: The study group underwent ART during the first wave of COVID-19 pandemic in India and when gradual unlocking of facilities including ART was advised as per the national ART advisory by the ICMR in December 2020. The outcomes were compared with the control group (cycles in pre-covid time). Statistical Analysis: Statistical analysis was performed in SPSS (v25.0) and included Mann-Whitney U, Fisher's exact and Pearson Chi-square as appropriate. Values of P < 0.05 were considered statistically significant. Results: A total of 367 in vitro fertilisation (IVF) stimulations were initiated. A total of 342 retrievals and 606 ETs (171 fresh and 435 frozen) were completed during the study period with a COVID positivity rate of 6.8% (25/367) amongst fresh and 3.9% (18/453) amongst frozen ETs, respectively; the PR and IR in the study group was similar to the control group (47.6 vs. 55.1 P = 0.4 and 68.7 vs. 66.4; P = 0.52, respectively). The maternal complication rates were similar in both groups with a COVID positivity rate of 10.2% (23/225) and 1 maternal death in the study group. The live birth rates were similar. Conclusions: We did not find a noteworthy difference in the clinical and embryological outcomes in the IVF cycles conducted in the COVID era as compared to the pre-COVID time. Thus, with adequate precautions and safety measures, ART services conducted during the COVID pandemic have comparable birth outcomes and can be safely advocated.

Follicular phase cycle programming using estradiol in oocyte donors-a convenient and effective approach.

Objective: To study the efficacy of estradiol for cycle programming in oocyte donors when administered in the follicular phase only. Design: Prospective interventional study. Setting: Single fertility center. Patients: Ninety-three oocyte donors underwent programmed stimulation using estradiol in the follicular phase. Their previous unprogrammed cycles were used as historical controls. Interventions: Donors received 8 mg of estradiol hemihydrate from day 2 till 1 day before the start of stimulation. Main Outcome Measures: The primary outcome measures studied were the number of oocytes retrieved, duration of stimulation, and total gonadotropin dose. The number of mature oocytes, oocyte maturation rate, fertilization rate, blastulation rate, implantation rate, and pregnancy rate were the secondary outcomes. Results: The average number of oocytes retrieved was higher in the study group (36.4 vs. 32.5). The duration of stimulation (9.22 vs. 9.21 days) and the total gonadotropin dose were similar (3,085.5 vs. 3,026 IU) between both groups. The mean number of mature oocytes retrieved was higher in the study group (30.1 vs. 26.3), but the maturation rate was similar (84.6% vs. 81.2%). The fertilization rate (77.8% vs. 78.7%), number of blastocysts, blastulation rate (32.7% vs. 33.2%), implantation rate (59.3% vs. 66.3%), and pregnancy rate (77.3% vs. 77.1%) showed no statistically significant difference. Conclusions: Estradiol usage in the follicular phase alone is an effective and convenient option for cycle programming in oocyte donors. It can yield similar mature oocytes and does not affect the clinical outcomes. Further larger sample-sized studies may be needed to validate its use which can also be extended to routine in vitro fertilization cycles. Clinical Trials Registration Number: CTRI/2020/09/027815.

A Randomized Trial of Photobiomodulation Therapy for Center-Involved Diabetic Macular Edema with Good Visual Acuity (Protocol AE).

PURPOSE: To determine if treatment with a photobiomodulation (PBM) device results in greater improvement in central subfield thickness (CST) than placebo in eyes with center-involved diabetic macular edema (CI-DME) and good vision. DESIGN: Phase 2 randomized clinical trial. PARTICIPANTS: Participants had CI-DME and visual acuity (VA) 20/25 or better in the study eye and were recruited from 23 clinical sites in the United States. METHODS: One eye of each participant was randomly assigned 1:1 to a 670-nm light-emitting PBM eye patch or an identical device emitting broad-spectrum white light at low power. Treatment was applied for 90 seconds twice daily for 4 months. MAIN OUTCOME MEASURES: Change in CST on spectral-domain OCT at 4 months. RESULTS: From April 2019 to February 2020, 135 adults were randomly assigned to either PBM (n = 69) or placebo (n = 66); median age was 62 years, 37% were women, and 82% were White. The median device compliance was 92% with PBM and 95% with placebo. OCT CST increased from baseline to 4 months by a mean (SD) of 13 (53) µm in PBM eyes and 15 (57) µm in placebo eyes, with the mean difference (95% confidence interval [CI]) being -2 (-20 to 16) µm (P = 0.84). CI-DME, based on DRCR Retina Network sex- and machine-based thresholds, was present in 61 (90%) PBM eyes and 57 (86%) placebo eyes at 4 months (adjusted odds ratio [95% CI] = 1.30 (0.44-3.83); P = 0.63). VA decreased by a mean (SD) of -0.2 (5.5) letters and -0.6 (4.6) letters in the PBM and placebo groups, respectively (difference [95% CI] = 0.4 (-1.3 to 2.0) letters; P = 0.64). There were 8 adverse events possibly related to the PBM device and 2 adverse events possibly related to the placebo device. None were serious. CONCLUSIONS: PBM as given in this study, although safe and well-tolerated, was not found to be effective for the treatment of CI-DME in eyes with good vision.

A Comparative Study to Assess the Efficacy of Two Different Estradiol Formulations during In Vitro Fertilization.

Improvements in stimulation protocols, introduction of vitrification, and changes in clinical practices have contributed to improved efficacy and safety of assisted reproductive technology (ART) procedures. This has also led to a concomitant increase in number of cycles requiring hormone replacement therapy (HRT) protocol for performing an embryo transfer. Successful implantation is dependent on endometrial thickness which in turn is regulated by temporal regulation of hormones. Careful control of estrogen levels determines uterine receptivity. One of the most used drugs for achieving appropriate endometrial lining of >7 mm in HRT is estradiol valerate. Although different estrogen formulations with varying physicochemical properties exist, there is not enough literature to support if the differences translate into a discernible clinical outcome in an in vitro fertilization (IVF) setting. Objective and Method. In this study, retrospective in nature, we compare the efficacy of oral estradiol hemihydrate with estradiol valerate in HRT cycles in 2,529 Indian women, undergoing treatment at a center in India between Jan 2017 and May 2019. Results. Our results primarily indicate that between the estradiol valerate and estradiol hemihydrate treatment groups, the implantation rate (IR) was 47.42% and 49.07%, respectively (P value 0.284), and the endometrial thickness (mean ± SEM in mm) that was achieved was 9.25 ± 0.038 mm and 9.57 ± 0.058 mm (P value < 0.001), respectively. There were no significant differences observed in the secondary outcome measures including clinical pregnancy rate, abortion rate, ectopic pregnancy, and live birth rate. Conclusions. Hence, this study concludes that oral estradiol hemihydrate and estradiol valerate are therapeutically equivalent and provide similar clinical outcomes in an IVF setting.

Mucormycosis and COVID-19: An epidemic within a pandemic in India.

IMPORTANCE: Coronavirus disease (COVID-19) causes an immunosuppressed state and increases risk of secondary infections like mucormycosis. We evaluated clinical features, predisposing factors, diagnosis and outcomes for mucormycosis among patients with COVID-19 infection. METHODS: This prospective, observational, multi-centre study included 47 consecutive patients with mucormycosis, diagnosed during their course of COVID-19 illness, between January 3 and March 27, 2021. Data regarding demography, underlying medical conditions, COVID-19 illness and treatment were collected. Clinical presentations of mucormycosis, imaging and biochemical characteristics and outcome were recorded. RESULTS: Of the 2567 COVID-19 patients admitted to 3 tertiary centres, 47 (1.8%) were diagnosed with mucormycosis. Mean age was 55 ± 12.8years, and majority suffered from diabetes mellitus (n = 36, 76.6%). Most were not COVID-19 vaccinated (n = 31, 66.0%) and majority (n = 43, 91.5%) had developed moderate-to-severe pneumonia, while 20 (42.6%) required invasive ventilation. All patients had received corticosteroids and broad-spectrum antibiotics while most (n = 37, 78.7%) received at least one anti-viral medication. Mean time elapsed from COVID-19 diagnosis to mucormycosis was 12.1 ± 4.6days. Eleven (23.4%) subjects succumbed to their disease, mostly (n = 8, 72.7%) within 7 days of diagnosis. Among the patients who died, 10 (90.9%) had pre-existing diabetes mellitus, only 2 (18.2%) had received just one vaccine dose and all developed moderate-to-severe pneumonia, requiring oxygen supplementation and mechanical ventilation. CONCLUSIONS: Mucormycosis can occur among COVID-19 patients, especially with poor glycaemic control, widespread and injudicious use of corticosteroids and broad-spectrum antibiotics, and invasive ventilation. Owing to the high mortality, high index of suspicion is required to ensure timely diagnosis and appropriate treatment in high-risk populations.

Effect of Endometrial Thickness and duration of Estrogen Supplementation on In Vitro Fertilization-Intracytoplasmic Sperm Injection Outcomes in Fresh Ovum/Embryo Donation Cycles.

BACKGROUND: There is no consensus regarding optimal endometrial thickness and duration of estrogen supplementation in embryo transfer cycles, at present. AIMS: To observe the effect of endometrial thickness and/or duration of estrogen supplementation on in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) outcomes in fresh ovum/embryo donation cycles. SETTINGS AND DESIGN: This was a retrospective observational study. The study was conducted from January 2015 to November 2017. SUBJECTS AND METHODS: Nine hundred and fifty seven fresh blastocyst transfer cycles in the recipients of oocyte/embryo donation regardless of reproductive history and diagnosis conducted at Nova IVF Fertility, Ahmedabad, Gujarat, India. Of these, 315 women had single embryo transfer (SET), while 642 had double embryo transfer (DET). Only fresh blastocysts derived from oocytes of young donors (≤30 years) and transferred in a uniform hormone replacement therapy (HRT) cycle were included. The effect of endometrial thickness and duration of estrogen on live birth rate (LBR) and other IVF/ICSI outcomes were analyzed. STATISTICAL ANALYSIS: Univariate logistic regression. RESULTS: A significant improvement in LBR was noted in the recipients with each millimeter increase in endometrial thickness starting from 6 mm after transfer of either single (odds ratio [OR] = 1.3, P = 0.003) or double (OR = 1.14, P = 0.0218) blastocysts. Lower LBR was observed in recipients having SET and who received estrogen supplementation of <10 days (OR = 0.72; P = 0.02). Implantation rate and clinical pregnancy rate also improved significantly with endometrial thickness, but there was no change in clinical abortion rate and ectopic pregnancy rate. CONCLUSIONS: After minimizing the possible oocyte factor by including only donor oocytes and that of COH using a uniform HRT protocol, LBR improved with each millimeter increase in endometrial thickness starting from 6 mm. Shorter duration of estrogen supplementation (<10 days) reduced the chances of live birth in recipients after transfer of a single blastocyst.

Chemotherapy Can Interfere in Implantation in In-vitro Fertilization.

Improvement in cancer treatments has allowed more women to plan a pregnancy once the disease is cured. The effects of chemotherapy on ovaries are well proven but those on the uterus, especially the endometrium and embryo implantation are still unknown. Usage of newer tyrosine kinase inhibitors such as nilotinib has revolutionized the management of leukemias. Although nilotinib has been reported to be safe in pregnancy, further studies are needed to evaluate its effect on the process of embryo implantation, especially in women undergoing in-vitro fertilization. We report a case where successful pregnancy outcome was achieved after stoppage of nilotinib before embryo transfer in a woman who had previous four failed attempts while on nilotinib and no other obvious cause of implantation failure. Despite optimal endometrial thickness and receptivity, the pale appearance of endometrium on hysteroscopy was attributed to be a possible effect of nilotinib and prompted us to withhold it.

Prevalence and predictors of suicide ideation among undergraduate medical students from a medical college of Western India.

BACKGROUND: Looking at the background vulnerability and increasing incidence of suicides among medical students, more information on its burden and causes is needed. METHODS: A cross-sectional study was conducted at a medical college to assess prevalence of suicide ideation and associated factors among medical students. Data were collected through a web-based survey questionnaire using Patient Health Questionnaire-9 and items on suicide cognitions, suicide attempt history and risk factors. Bivariate and multivariate analyses were performed in SPSS. RESULTS: A total of 506 students (69.2%) responded to the survey questionnaire. The 2-week prevalence of depression and suicide ideation was 14% (73/506) and 9% (44/506). Proportion of participants reporting suicidal cognitions in preceding 1 month: life not worth living-13%; death wish-6%; suicidal ideas-4%; and suicide plan-1%. The significant predictors of suicide ideation were female gender (adjusted odds ratio [AOR] = 3.2, 95% confidence interval [CI] 1.6-49.1), alcohol use (AOR = 3.2, 95% CI 1.1-9.7), history of facing any type of abuse (AOR = 3.9, 95% CI 1.2-11.9), academic stress (AOR = 3.3, 95% CI 1-10.9), family-related stress (AOR = 5.6, 95% CI 1.8-17) and relationship-related stress (AOR = 3.5, 95% CI 1.1-10.8). Half of the students reported presence of academic stress as important life stressor. Three-fourth students preferred friends as their source of help in times of need. Web-based survey method for screening was acceptable to students. CONCLUSION: The prevalence of suicide ideation is alarmingly high among medical students. Academic stress, previous experience of abuse, stress originating from family expectations and strained relationship with friends and peers were found to be risk factors or predictors for suicidal ideation.

Systematic evaluation of the QualityRights programme in public mental health facilities in Gujarat, India.

BACKGROUND: Recognising the significant extent of poor-quality care and human rights issues in mental health, the World Health Organization launched the QualityRights initiative in 2013 as a practical tool for implementing human rights standards including the United Nations Convention on Rights of Persons with Disabilities (CRPD) at the ground level. AIMS: To describe the first large-scale implementation and evaluation of QualityRights as a scalable human rights-based approach in public mental health services in Gujarat, India. METHOD: This is a pragmatic trial involving implementation of QualityRights at six public mental health services chosen by the Government of Gujarat. For comparison, we identified three other public mental health services in Gujarat that did not receive the QualityRights intervention. RESULTS: Over a 12-month period, the quality of services provided by those services receiving the QualityRights intervention improved significantly. Staff in these services showed substantially improved attitudes towards service users (effect sizes 0.50-0.17), and service users reported feeling significantly more empowered (effect size 0.07) and satisfied with the services offered (effect size 0.09). Caregivers at the intervention services also reported a moderately reduced burden of care (effect size 0.15). CONCLUSIONS: To date, some countries are hesitant to reforming mental health services in line with the CRPD, which is partially attributable to a lack of knowledge and understanding about how this can be achieved. This evaluation shows that QualityRights can be effectively implemented even in resource-constrained settings and has a significant impact on the quality of mental health services.

Feasibility of Deep Learning Algorithms for Reporting in Routine Spine Magnetic Resonance Imaging.

BACKGROUND: Artificial intelligence is gaining traction in automated medical imaging analysis. Development of more accurate magnetic resonance imaging (MRI) predictors of successful clinical outcomes is necessary to better define indications for surgery, improve clinical outcomes with targeted minimally invasive and endoscopic procedures, and realize cost savings by avoiding more invasive spine care. OBJECTIVE: To demonstrate the ability for deep learning neural network models to identify features in MRI DICOM datasets that represent varying intensities or severities of common spinal pathologies and injuries and to demonstrate the feasibility of generating automated verbal MRI reports comparable to those produced by reading radiologists. METHODS: A 3-dimensional (3D) anatomical model of the lumbar spine was fitted to each of the patient's MRIs by a team of technicians. MRI T1, T2, sagittal, axial, and transverse reconstruction image series were used to train segmentation models by the intersection of the 3D model through these image sequences. Class definitions were extracted from the radiologist report for the central canal: (0) no disc bulge/protrusion/canal stenosis, (1) disc bulge without canal stenosis, (2) disc bulge resulting in canal stenosis, and (3) disc herniation/protrusion/extrusion resulting in canal stenosis. Both the left and right neural foramina were assessed with either (0) neural foraminal stenosis absent, or (1) neural foramina stenosis present. Reporting criteria for the pathologies at each disc level and, when available, the grading of severity were extracted, and a natural language processing model was used to generate a verbal and written report. These data were then used to train a set of very deep convolutional neural network models, optimizing for minimal binary cross-entropy for each classification. RESULTS: The initial prediction validation of the implemented deep learning algorithm was done on 20% of the dataset, which was not used for artificial intelligence training. Of the 17,800 total disc locations for which MRI images and radiology reports were available, 14,720 were used to train the model, and 3560 were used to validate against. The convergence of validation accuracy achieved with the deep learning algorithm for the foraminal stenosis detector was 81% (sensitivity = 72.4.4%, specificity = 83.1%) after 25 complete iterations through the entire training dataset (epoch). The accuracy was 86.2% (sensitivity = 91.1%, specificity = 82.5%) for the central stenosis detector and 85.2% (sensitivity = 81.8%, specificity = 87.4%) for the disc herniation detector. CONCLUSIONS: Deep learning algorithms may be used for routine reporting in spine MRI. There was a minimal disparity among accuracy, sensitivity, and specificity, indicating that the data were not overfitted to the training set. We concluded that variability in the training data tends to reduce overfitting and overtraining as the deep neural network models learn to focus on the common pathologies. Future studies should demonstrate the accuracy of deep neural network models and the predictive value of favorable clinical outcomes with intervention and surgery. LEVEL OF EVIDENCE: 3. CLINICAL RELEVANCE: Feasibility, clinical teaching, and evaluation study.

Artificial Intelligence Comparison of the Radiologist Report With Endoscopic Predictors of Successful Transforaminal Decompression for Painful Conditions of the Lumber Spine: Application of Deep Learning Algorithm Interpretation of Routine Lumbar Magnetic Resonance Imaging Scan.

BACKGROUND: Identifying pain generators in multilevel lumbar degenerative disc disease is not trivial but is crucial for lasting symptom relief with the targeted endoscopic spinal decompression surgery. Artificial intelligence (AI) applications of deep learning neural networks to the analysis of routine lumbar MRI scans could help the primary care and endoscopic specialist physician to compare the radiologist's report with a review of endoscopic clinical outcomes. OBJECTIVE: To analyze and compare the probability of predicting successful outcome with lumbar spinal endoscopy by using the radiologist's MRI grading and interpretation of the radiologic image with a novel AI deep learning neural network (Multus Radbot™) as independent prognosticators. METHODS: The location and severity of foraminal stenosis were analyzed using comparative ordinal grading by the radiologist, and a contiguous grading by the AI network in patients suffering from lateral recess and foraminal stenosis due to lumbar herniated disc. The compressive pathology definitions were extracted from the radiologist lumbar MRI reports from 65 patients with a total of 383 levels for the central canal - (0) no disc bulge/protrusion/canal stenosis, (1) disc bulge without canal stenosis, (2) disc bulge resulting in canal stenosis, and (3) disc herniation/protrusion/extrusion resulting in canal stenosis. Both neural foramina were assessed with either - (0) neural foraminal stenosis absent, or (1) neural foramina are stenosis present. Reporting criteria for the pathologies at each disc level and, when available, the grading of severity were extracted and assigned into two categories: "Normal," and "Stenosis." Clinical outcomes were graded using dichotomized modified Macnab criteria considering Excellent and Good results as "Improved," and Fair and Poor outcomes as "Not Improved." Binary logistic regression analysis was used to predict the probability of the AI- and radiologist grading of stenosis at the 88 foraminal decompression sites to result in "Improved" outcomes. RESULTS: The average age of the 65 patients was 62.7 +/- 12.7 years. They consisted of 51 (54.3%) males and 43 (45.7%) females. At an average final follow-up of 57.4 +/- 12.57, Macnab outcome analysis showed that 86.4% of the 88 foraminal decompressions resulted in Excellent and Good (Improved) clinical outcomes. The stenosis grading by the radiologist showed an average severity score of 4.71 +/- 2.626, and the average AI severity grading was 5.65 +/- 3.73. Logit regression probability analysis of the two independent prognosticators showed that both the grading by the radiologist (86.2%; odds ratio 1.264) and the AI grading (86.4%; odds ratio 1.267) were nearly equally predictive of a successful outcome with the endoscopic decompression. CONCLUSIONS: Deep learning algorithms are capable of identifying lumbar foraminal compression due to herniated disc. The treatment outcome was correlated to the decompression of the directly visualized corresponding pathology during the lumbar endoscopy. This research should be extended to other validated pain generators in the lumbar spine. LEVEL OF EVIDENCE: 3. CLINICAL RELEVANCE: Validity, clinical teaching, evaluation study.

Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans.

BACKGROUND: Artificial intelligence could provide more accurate magnetic resonance imaging (MRI) predictors of successful clinical outcomes in targeted spine care. OBJECTIVE: To analyze the level of agreement between lumbar MRI reports created by a deep learning neural network (RadBot) and the radiologists' MRI reading. METHODS: The compressive pathology definitions were extracted from the radiologist lumbar MRI reports from 65 patients with a total of 383 levels for the central canal: (0) no disc bulge/protrusion/canal stenosis, (1) disc bulge without canal stenosis, (2) disc bulge resulting in canal stenosis, and (3) disc herniation/protrusion/extrusion resulting in canal stenosis. For both, neural foramina were assessed with either (0) neural foraminal stenosis absent or (1) neural foramina stenosis present. Reporting criteria for the pathologies at each disc level and, when available, the grading of severity were extracted, and the Natural Language Processing model was used to generate a verbal and written report. The RadBot report was analyzed similarly as the MRI report by the radiologist. MRI reports were investigated by dichotomizing the data into 2 categories: normal and stenosis. The quality of the RadBot test was assessed by determining its sensitivity, specificity, and positive and negative predictive value as well as its reliability with the calculation of the Cronbach alpha and Cohen kappa using the radiologist MRI report as a gold standard. RESULTS: The authors found a RadBot sensitivity of 73.3%, a specificity of 88.4%, a positive predictive value of 80.3%, and a negative predictive value of 83.7%. The reliability analysis revealed the Cronbach alpha as 0.772. The highest individual values of the Cronbach alpha were 0.629 and 0.681 when compared to the MRI report by the radiologist, rending values of 0.566 and 0.688, respectively. Analysis of interobserver reliability rendered an overall kappa for the RadBot of 0.627. Analysis of receiver operating characteristics (ROC) showed a value of 0.808 for the area under the ROC curve. CONCLUSIONS: Deep learning algorithms, when used for routine reporting in lumbar spine MRI, showed excellent quality as a diagnostic test that can distinguish the presence of neural element compression (stenosis) at a statistically significant level (P < .0001) from a random event distribution. This research should be extended to validated and directly visualized pain generators to improve the accuracy and prognostic value of the routine lumbar MRI scan for favorable clinical outcomes with intervention and surgery. LEVEL OF EVIDENCE: 3. CLINICAL RELEVANCE: Validity, clinical teaching, and evaluation study.

Maternal and Neonatal Complications in Twin Deliveries as Compared to Singleton Deliveries following In vitro Fertilization.

BACKGROUND: Twin pregnancy is an iatrogenic complication following in vitro fertilization (IVF) that can be decreased using elective single-embryo transfer. However, the risks associated with twin pregnancy following IVF as compared to singleton IVF pregnancy need to be further evaluated. AIM: This study aims to compare the maternal, perinatal, and neonatal complications in singleton and twin pregnancies following IVF-intracytoplasmic sperm injection (ICSI). Settings and Design: Retrospective observational cohort study using previously collected routine patient data. MATERIALS AND METHODS: Singleton and twin deliveries following IVF/ICSI from January 2014 to August 2015 were included. Data were collected from patient records and the obstetricians of the patients. STATISTICAL ANALYSIS USED: SPSS was used for analysis. Student's t-test and Fisher's exact test were used for continuous and categorical data, respectively. Significance was kept at 0.05. RESULTS: There were 897 singleton and 382 twin deliveries (total of 1661 babies). The mean gestational age at delivery was lower in twin deliveries (34.9 ± 3.1 weeks) as compared to singleton deliveries (36.8 ± 3.2 weeks, P < 0.001). The overall incidence of maternal complications was higher in twin pregnancies (29.3% vs. 21.3%, odds ratio = 1.53, 95% confidence interval = 1.17-2.01; P = 0.003). The mean birth weight of babies was significantly lower (2.02 ± 0.58 kg vs. 2.71 ± 0.68 kg; P < 0.001) and the incidence of stillbirth plus neonatal death was higher (7.5% vs. 4.6%, P = 0.01) in the twin group as compared to the singleton group. CONCLUSION: Twin deliveries, following IVF/ICSI deliver at lower gestational age, have lower birth weight and have higher odds of stillbirth plus neonatal death as compared to singleton deliveries following IVF/ICSI.

Personalized Embryo Transfer Helps in Improving In vitro Fertilization/ICSI Outcomes in Patients with Recurrent Implantation Failure.

AIMS: This study aims to compare clinical outcomes in patients of recurrent implantation failure (RIF), who had embryo transfer (ET) following a receptive (R) endometrial receptivity array (ERA) and a personalized embryo transfer (pET) after a nonreceptive (NR) ERA. SETTINGS AND DESIGN: This was a retrospective observational study. STUDY PERIOD: July 2013-September 2017. SUBJECTS AND METHODS: Two hundred and forty-eight patients having unexplained RIF who underwent ERA test were included in the study. Clinical outcomes were compared between patients having a receptive (R) ERA and those having a NR ERA who underwent a pET-based on ERA. STATISTICAL ANALYSIS USED: Chi-square and t-test. RESULTS: ERA predicted receptive (R) endometrium at P + 5 in 82.3% (204/248) patients and NR in 17.7% (44/248) patients. Average failed previous in vitro fertilization cycles were 3.67 ± 1.67 among receptive ERA patients and 4.09 ± 1.68 among NR ERA patients. Pregnancy rate (PR), clinical PR, implantation rate (IR), abortion rate (AR), ongoing pregnancy rate (OPR), and cumulative PR were comparable between patients having receptive ERA who had a routine Embryo Transfer (ET) and those with an NR ERA who underwent a pET. CONCLUSIONS: ERA is helpful in identifying the window of implantation (WOI) through genetic expressions of the endometrium to pinpoint embryo transfer timing. pET guided by ERA in patients of RIF with displaced WOI improves IRs and OPRs.

Prevalence of structural birth defects in IVF-ICSI pregnancies resulting from autologous and donor oocytes in Indian sub-continent: Results from 2444 births.

INTRODUCTION: This study was conducted to evaluate and compare the incidence of birth defects in In-Vitro Fertilization-Intra Cytoplasmic Sperm Injection (IVF-ICSI) pregnancies with autologous and donor oocytes. As a secondary outcome, the prevalence of birth defects in IVF-ICSI pregnancies was compared with those from spontaneous conceptions in India. MATERIAL AND METHODS: This retrospective study included 2444 births resulting from IVF-ICSI cycles from autologous (n = 1743) and donor oocytes (n = 701) during a 3-year period in an Indian infertility center. Birth defects, if any, were noted antenatally and followed till the neonatal period, in case of live birth. RESULTS: The overall prevalence of birth defects in IVF-ICSI pregnancies in this study was 29/2444 (118.6/10 000 births) and the most common congenital anomaly was cardiac malformation (32.7/10 000 births) followed by genitourinary (28.6/10 000 births). The risks of birth defects resulting from autologous and donor oocytes did not differ (114.7/10 000 vs 128.38/10 000; P > 0.05). However, pregnancies resulting from autologous oocytes had a higher trend of gastrointestinal birth defects (20.5/10 000 births vs 0), though not statistically significant. The risk of cardiovascular birth defects resulting from IVF-ICSI pregnancies was much higher compared with the natural conceptions in India (32.7/10 000 vs 12.7/10 000 births; P = 0.03), whereas the risk of central nervous system malformations was much lower (8.1/10 000 vs 60.18/10 000 births; P = 0.005). CONCLUSIONS: Overall, there was no significant difference in birth defects resulting from IVF-ICSI with autologous or donor oocytes. The births resulting from IVF-ICSI pregnancies did not tend to have a higher rate of birth defects a compared with natural conceptions. The differences in the prevalence of certain birth defects (cardiovascular or central nervous system) reported in IVF-ICSI pregnancies may be due to improved surveillance modalities and early detection in pregnancies following IVF-ICSI. A study with larger number of sample size will give us better understanding of the prevalence of reported incidence in this study.

A novel approach to suicide prevention - Educating when it matters.

BACKGROUND: Looking at the burden of suicide, there is a dire need for medical schools to incorporate suicide prevention training. Effective communication helps in early detection and management of suicidal behavior. Medical students can act as a GATEKEEPER if they receive adequate training. METHODOLOGY: This was an educational intervention study done at tertiary care teaching hospital to assess the knowledge and attitude of medical students toward depression and suicide and to impart and assess communication skills for suicide prevention in one of the four batches of students in 4th semester. Pretest was conducted to assess knowledge and attitude toward depression and suicide, followed by training using interactive lectures, demonstration of interview, and hands-on training with patients and role-plays. The posttest and objective structured clinical examination (OSCE) were administered for skill assessment. Feedback was taken regarding this intervention. RESULTS: The mean marks of the pre- and post-test were 8.96 (8.3-9.6) and 14.58 (13.8-15.3), respectively, out of 25. The difference was statistically significant (t = 13.24, P ≤ 0.0001) which suggests improvement in knowledge. We found mixed responses in attitude statements showing limited change. Mean obtained marks on OSCE examination out of 66 was 42.7. Among various components of OSCE, students scored high on rapport building. The most useful components of trainings were role-play, OSCE, and interaction with patients as per their feedback. CONCLUSION: The intervention was found effective in increasing knowledge, changing attitude, and enhancing communication skills of medical students toward suicide prevention. Training of communication skills for suicide prevention in depressed person should be given to every medical student as suggested by feedback.

One Plus One Is Better Than Two: Cumulative Reproductive Outcomes Are Better after Two Elective Single Blastocyst Embryo Transfers Compared to One Double Blastocyst Embryo Transfer.

AIMS: The aim of this study is to compare cumulative in vitro fertilization-intracytoplasmic sperm injection outcomes following two elective single embryo transfer (eSET) versus one double embryo transfer (DET) using blastocyst(s). SETTINGS AND DESIGN: This was retrospective observational study. STUDY PERIOD: The study was conducted during January 2015-December 2015. SUBJECTS AND METHODS: Forty-one fresh + 25 frozen eSET versus 123 DET using self-oocytes and 68 fresh + 35 frozen eSET versus 184 DET using donor-oocytes were included in the study. All failing to achieve live birth after first eSET underwent frozen embryo transfer cycle with second blastocyst. Cumulative outcome after two eSET were compared with one DET. STATISTICAL ANALYSIS USED: The analysis was performed by Chi-square and t-test. RESULTS: In self-oocytes group, higher but statistically nonsignificant cumulative clinical pregnancy rate (CPR) (58.5% vs. 57.7%, P = 0.92) and live birth rate (LBR) (48.7% vs. 44.7%, P = 0.65) with significantly lower multiple pregnancy rate (MPR) (4.2% vs. 45%, P = 0.0002) were obtained; whereas in donor-oocytes group, comparable cumulative CPR (73.5% vs. 65.7%, P = 0.24), significantly higher LBR (64.7% vs. 48.9%, P = 0.02) and significantly lower MPR (4% vs. 51.2%, P = 0.00005) were obtained after two eSET vs. one DET. In self-oocytes group, the incidence of prematurity (10% vs. 21.4%, P > 0.05) and low birth weight (25% vs. 45.6%, P > 0.05) were lower but statistically nonsignificant, whereas in donor-oocytes group, incidence of prematurity was lower but statistically nonsignificant (26.7% vs. 38.8%, P > 0.05) while of low birth weight was significantly lower (32.7% vs. 51.2%, P = 0.0038) after two eSET versus one DET. CONCLUSION: Cumulative LBR was higher with lower incidence of multiple births, prematurity and low birth weight after two eSET versus one DET using self- or donor-oocytes. Higher use of eSET improves reproductive outcomes in patients with good prognosis.

Influence of Community-Level Cultural Beliefs about Autism on Families' and Professionals' Care for Children.

This qualitative study aimed to understand how community-level cultural beliefs affect families' and professionals' care for children with autism and developmental delays in immigrant communities, as a first step towards promoting early identification and access to early intervention services. The study was part of the larger New York City (NYC) Korean Community Autism Project, which was designed to identify strategies to increase awareness of autism and reduce delays in treatment seeking within the NYC Korean-American community. Our study elicited early childcare workers' and church leaders' beliefs about autism and developmental disorders and, in particular, early intervention. We also elicited responses to newly developed outreach materials targeting this community. An inductive approach was used to identify concepts and categories associated with autism. Our study confirmed that discomfort, stigma and discrimination are the prevailing community attitudes toward autism and developmental disorders in the Korean-American community. Families' and professionals' understanding of autism and their care for children are affected by these community beliefs. Approaching immigrant communities with general information about child development and education rather than directly talking about autism and developmental disorders is likely to engage more families and professionals in need for diagnostic evaluation and early intervention for autism.