Etiological review and outcome of thrombocytopenia in pregnancy in the tertiary care centre

Background: Objective of the study was to identify and analyse the etiology of thrombocytopenia in pregnancy and review the evaluation of thrombocytopenia and its outcome in pregnancy. Methods: Retrospective study conducted at D. Y. Patil Hospital, Kolhapur, Maharashtra, India, from January 2021 to January 2023, in the Department of Obstetrics and Gynecology. All the antenatal women admitted in the ward of obstetrics and gynecology with platelet count less than 1 lakh/cubic cc were included in the study. Thorough evaluation for the cause of thrombocytopenia and outcome of the patient were collected and results were analyzed. Results: Out of 3319 deliveries, 100 patients had platelet counts less than 1 lakh. Overall, in the present study, Gestational thrombocytopenia (38%) is the most common cause of low platelets in pregnancy, followed by pre-eclampsia (20%) and DIC (16%). The rest of the etiologies rarely cause thrombocytopenia in pregnancy (<10%). Conclusions: Despite thrombocytopenia is a common abnormality in pregnancy, it seldom leads to life-threatening complications by itself. By contrast, a significant thrombocytopenia associated with medical conditions can have serious maternal-fetal consequences and requires appropriate management. The management of thrombocytopenia focuses on the underlying cause/etiology which is challenging because there are many potential causes, some directly related to the pregnancy and some unrelated. Cause directed therapies, if promptly administered, may significantly improve the maternal and fetal outcomes. Study intended to evaluate the wide spectrum of causes for thrombocytopenia in pregnancy and its outcome. Preeclampsia with or without HELLP syndrome is found to be very important cause of severe thrombocytopenia and attributed with maternal complications. while the perinatal outcome of gestational thrombocytopenia and immune thrombocytopenic purpura is basically favourable

Circulating serum fatty acid synthase is elevated in patients with diabetes and carotid artery stenosis and is LDL-associated

BACKGROUND AND AIMS: Diabetes is an independent risk factor for carotid artery stenosis (CAS). Fatty acid synthase (FAS), an essential de novo lipogenesis enzyme, has increased activity in the setting of diabetes that leads to altered lipid metabolism. Circulating FAS (cFAS) was recently observed in the blood of patients with hyperinsulinemia and cancer. We thought to evaluate the origin of cFAS and its role in diabetes-associated CAS. METHODS: Patients with diabetes and no diabetes, undergoing carotid endarterectomy (CEA) for CAS, were prospectively enrolled for collection of plaque and fasting serum. FPLC was used to purify lipoprotein fractions, and ELISA was used to quantify cFAS content and activity. Immunoprecipitation (IP) was used to evaluate the affinity of cFAS to LDL-ApoB. RESULTS: Patients with CAS had higher cFAS activity (p \u3c 0.01), and patients with diabetes had higher cFAS activity than patients with no diabetes (p \u3c 0.05). cFAS activity correlated with serum glucose (p = 0.03, r CONCLUSIONS: Serum cFAS is higher in patients with diabetes and CAS, appears to originate from the liver, and is LDL cholesterol associated. We postulate that LDL may be serving as a carrier for cFAS that contributes to atheroprogression in carotid arteries of patients with diabetes

Primary vaginal Ewing's sarcoma or primitive neuroectodermal tumor in a 17-year-old woman: a case report

<p>Abstract</p> <p>Introduction</p> <p>Primary Ewing's sarcoma or primitive neuroectodermal tumor of the genital tract of women is uncommon. Rarer still is its occurrence in the vagina, with only five cases described so far. Out of these, only one case was confirmed using molecular analysis.</p> <p>Case presentation</p> <p>We present an extremely rare case of Ewing's sarcoma or primitive neuroectodermal tumor in a 17-year-old Indian girl. She presented with a vaginal mass that was initially diagnosed as a malignant round cell tumor. Immunohistochemistry showed diffuse positivity for vimentin, membranous positivity for MIC2, and positivity for BCL2 and FLI-1. On the other hand, she was negative for cytokeratin, epithelial membrane antigen, desmin, Myo D-1, myogenin and smooth muscle actin. A diagnosis of primitive neuroectodermal tumor was thus offered. Furthermore, a molecular analysis of our patient using reverse transcription-polymerase chain reaction technique showed positivity for t(11; 22) (q24; q12) (EWSR1-FLI1), thus confirming the diagnosis of a Ewing's sarcoma/primitive neuroectodermal tumor. Our patient was offered chemotherapy on Institutional protocol EFT 2001.</p> <p>Conclusion</p> <p>This is a rare case of primary vaginal Ewing's sarcoma or primitive neuroectodermal tumor, which was confirmed with molecular analysis, in the youngest patient known so far. This study reinforces the value of integrating morphological features with membranous MIC2 positivity, along with application of molecular techniques in objective identification of an Ewing's sarcoma or primitive neuroectodermal tumor at uncommon sites.</p

Case Report - Cervical lymphoma presenting as irregular vaginal bleeding

Non-Hodgkin lymphoma (NHL) causes many deaths worldwide and its incidence is increasing. They commonly occur in middle-aged and elderly people and are disseminated at diagnosis. The patients usually present with lymphadenopathy, fever, night sweats and weight loss. We report an interesting case of NHL in a 35 year old female, who primarily presented with irregular bleeding per vaginum

Histomorphometry of umbilical cord and perinatal outcome in intrauterine growth restriction

Objective: To evaluate the histomorphometry of umbilical cord (UC) in intrauterine growth restricted (IUGR) newborns compared to appropriate for gestational age (AGA) newborns, and secondly to assess its impact on the intrapartum and perinatal outcome. Materials and Methods: A prospective observational study was conducted at Obstetrics and Gynecology unit of KLES Dr. Prabhakar Kore Hospital and Medical Research Centre, Belagavi. Study involved total 130 UCs of AGA and IUGR newborns. Tissues were fixed in formalin and paraffin embedded sections were examined. For each UC; UC cross sectional area (CSA), UC diameter and UC circumference parameters were measured under microscope with the help of digital image analyzer. Perinatal outcome like gestational age (GA) at delivery, birth weight, mode of delivery, sex of newborn, neonatal outcome and intrapartum complications were recorded. Independent t test was used to compare means and chi-square test for categorical variables. Results: UC of IUGR newborns had significantly reduced UC area, diameter and circumference as compared to AGA newborns. IUGR newborns were associated with significant difference in GA at delivery, birth weight, neonatal intensive care unit admissions (NICU) and fetal distress. No significant difference was found in mode of delivery, sex of newborn and meconium stained liquor among AGA and IUGR groups. Conclusion: Assessment of CSAs of UC and its components can be used as early screening tool for fetal growth and it may provide useful information about pregnancy at risk and help in averting poor perinatal outcome

Real-time Epidemic Forecasting: Challenges and Opportunities.

Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions when outbreaks occur. Challenges and recent advances in predictive modeling are discussed here. We identified data needs in the areas of epidemic surveillance, mobility, host and environmental susceptibility, pathogen transmissibility, population density, and healthcare capacity. Constraints in standardized case definitions and timely data sharing can limit the precision of predictive models. Resource-limited settings present particular challenges for accurate epidemic forecasting due to the lack of granular data available. Incorporating novel data streams into modeling efforts is an important consideration for the future as technology penetration continues to improve on a global level. Recent advances in machine-learning, increased collaboration between modelers, the use of stochastic semi-mechanistic models, real-time digital disease surveillance data, and open data sharing provide opportunities for refining forecasts for future epidemics. Epidemic forecasting using predictive modeling is an important tool for outbreak preparedness and response efforts. Despite the presence of some data gaps at present, opportunities and advancements in innovative data streams provide additional support for modeling future epidemics