Outcome of large- and small-for-gestational-age babies born to mothers with pre-pregnancy and gestational diabetes mellitus versus without diabetes mellitus

Introduction: The prevalence of diabetes mellitus (DM) is on the increase among general population and prenatal mothers. The feto-maternal outcome of mothers with DM varies with the type of DM, pre-pregnancy or gestational (PPDM and GDM), and glycemic control. Objective: The objective of this study is to assess the outcome of small- and large-for gestational-age (SGA and LGA) babies born to a cohort of mothers with PPDM and GDM and without DM. Materials and Methods: This cohort study was conducted in a tertiary care teaching hospital. A total of 480 mothers and their newborn babies were enrolled before 6 weeks of gestation and were categorized into PPDM, GDM, and no DM subgroups. Mothers were managed as per the standard protocols. Parameters observed were optimum/suboptimum glycemic control, neonatal weight, GA, morbidity, mortality, and neonatal intensive care unit (NICU) stay. Results: A total of 19.5% mothers had PPDM, including 70 mothers already diagnosed as DM, while 39% had GDM and 41.5% had no DM. The detection rate of PPDM was 5.6% and GDM was 17.5%. Majority of the mothers with PPDM and GDM required insulin and two-third had optimum glycemic control. Good glycemic control resulted in more appropriate-for-GA babies. SGA babies were more in PPDM group (54%), followed by GDM (26%) and non-DM (21%) subgroups, while LGA babies were less in these groups, i.e., 9.6%, 5.9%, and 0.5%, respectively. The following observations were statistically significant among PPDM compared to GDM: SGA (relative risk [RR] 2.1, 95% confidence interval [CI] 2.9–3.6), congenital anomalies (RR 3.3, 95% CI 5.1–8.8), and neonatal mortality (RR 4, 95% CI 2.1–3.2). Prematurity and NICU admission with longer stay were also more in PPDM. Macrosomia and birth injury were more in GDM. Hypoglycemia, longer NICU stay, and macrosomia were more with poor glycemic control. Conclusions: A change in profile with more SGA and less LGA babies was noted in this study. Differential short-term outcomes were noted, based on the onset of DM and glycemic control. Pre-pregnancy/early first-trimester screen followed by second and third trimester screens and optimum glycemic control, throughout pregnancy, is recommended

Significant benefits of AIP testing and clinical screening in familial isolated and young-onset pituitary tumors

Context Germline mutations in the aryl hydrocarbon receptor-interacting protein (AIP) gene are responsible for a subset of familial isolated pituitary adenoma (FIPA) cases and sporadic pituitary neuroendocrine tumors (PitNETs). Objective To compare prospectively diagnosed AIP mutation-positive (AIPmut) PitNET patients with clinically presenting patients and to compare the clinical characteristics of AIPmut and AIPneg PitNET patients. Design 12-year prospective, observational study. Participants & Setting We studied probands and family members of FIPA kindreds and sporadic patients with disease onset ≤18 years or macroadenomas with onset ≤30 years (n = 1477). This was a collaborative study conducted at referral centers for pituitary diseases. Interventions & Outcome AIP testing and clinical screening for pituitary disease. Comparison of characteristics of prospectively diagnosed (n = 22) vs clinically presenting AIPmut PitNET patients (n = 145), and AIPmut (n = 167) vs AIPneg PitNET patients (n = 1310). Results Prospectively diagnosed AIPmut PitNET patients had smaller lesions with less suprasellar extension or cavernous sinus invasion and required fewer treatments with fewer operations and no radiotherapy compared with clinically presenting cases; there were fewer cases with active disease and hypopituitarism at last follow-up. When comparing AIPmut and AIPneg cases, AIPmut patients were more often males, younger, more often had GH excess, pituitary apoplexy, suprasellar extension, and more patients required multimodal therapy, including radiotherapy. AIPmut patients (n = 136) with GH excess were taller than AIPneg counterparts (n = 650). Conclusions Prospectively diagnosed AIPmut patients show better outcomes than clinically presenting cases, demonstrating the benefits of genetic and clinical screening. AIP-related pituitary disease has a wide spectrum ranging from aggressively growing lesions to stable or indolent disease course

P A FUZZY CRITICAL PATH PROBLEM FOR PROJECT NETWORK

Abstract: The task of finding the crisp critical path has received researcher's attention over the past two decades which has wide range of applications in planning and scheduling the large projects. In most cases of our life, the data obtained for decision makers are only approximate, which gives rise to fuzzy critical path problem. In this paper, new ranking methods are introduced to identify the fuzzy critical path and the fuzzy critical length is presented in the nature of fuzzy membership function. The fuzzified version of the problem has been discussed with the aid of numerical example. AMS Subject Classification: 90B10, 90B15, 90B50, 90C0

Fuzzy Shortest Path Problem Based on Level -Triangular LR Fuzzy Numbers

In problems of graphs involving uncertainties, the fuzzy shortest path problem is one of the most studied topics, since it has a wide range of applications in different areas and therefore deserves special attention. In this paper, algorithms are proposed for the fuzzy shortest path problem, where the arc length of the network takes imprecise numbers, instead of real numbers, namely, level -triangular LR fuzzy numbers. Few indices defined in this paper help to identify the shortest path in fuzzy environment

Setting a baseline for global urban virome surveillance in sewage

The rapid development of megacities, and their growing connectedness across the world is becoming a distinct driver for emerging disease outbreaks. Early detection of unusual disease emergence and spread should therefore include such cities as part of risk-based surveillance. A catch-all metagenomic sequencing approach of urban sewage could potentially provide an unbiased insight into the dynamics of viral pathogens circulating in a community irrespective of access to care, a potential which already has been proven for the surveillance of poliovirus. Here, we present a detailed characterization of sewage viromes from a snapshot of 81 high density urban areas across the globe, including in-depth assessment of potential biases, as a proof of concept for catch-all viral pathogen surveillance. We show the ability to detect a wide range of viruses and geographical and seasonal differences for specific viral groups. Our findings offer a cross-sectional baseline for further research in viral surveillance from urban sewage samples and place previous studies in a global perspective

Reporting guidelines for human microbiome research: the STORMS checklist

The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific to microbiome studies. Therefore, a multidisciplinary group of microbiome epidemiology researchers adapted guidelines for observational and genetic studies to culture-independent human microbiome studies, and also developed new reporting elements for laboratory, bioinformatics and statistical analyses tailored to microbiome studies. The resulting tool, called 'Strengthening The Organization and Reporting of Microbiome Studies' (STORMS), is composed of a 17-item checklist organized into six sections that correspond to the typical sections of a scientific publication, presented as an editable table for inclusion in supplementary materials. The STORMS checklist provides guidance for concise and complete reporting of microbiome studies that will facilitate manuscript preparation, peer review, and reader comprehension of publications and comparative analysis of published results. The STORMS tool provides guidance for concise and complete reporting of microbiome studies to facilitate manuscript preparation, peer review, reader comprehension of publications, and comparative analysis of published results