101 research outputs found

    The predictive value of sFlt-1/PIGF ratio in high risk patients for the development of preeclampsia

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    Background: Hypertensive disorders of pregnancy constitute a major cause of maternal morbidity and mortality. Pre-eclampsia/eclampsia ranks second only to haemorrhage as a specific, direct cause of maternal mortality. A number of markers have been under study for the early detection of this disease. The study aims to evaluate the predictive value of sFlt-1/PlGF ratio for preeclampsia.Methods: This study was conducted in the Department of Gynaecology and Obstetrics of ASCOMS hospital, Jammu for a period of 6 months from Jan 2019 to June 2019. 50 antenatal patients attending the outpatient department with risk factors for developing preeclampsia were enrolled in the study. Their sFlT-1/PIGF ratio was determined at gestational age of 20 weeks to 37 weeks and its predictive value was evaluated.Results: In the present study, 8 patients developed preeclampsia subsequently. The mean sFlt-1/PIGF ratio values were significantly higher in the patients who developed preeclampsia (73.5) than who did not develop the disease (26.07). The positive predictive value at 1 week was 41.66% and negative predictive value was 100%. At 4 weeks, positive predictive value was 66.66% and negative predictive value was 100%.Conclusions: The present study suggests sFlt-1/PIGF ratio values are useful marker was a predictor of preeclampsia and values >38 were associated with preeclampsia. It is more useful in ruling out preeclampsia than ruling in the disease

    Comparison of iron carboxy maltose and iron sucrose in pregnant females

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    Background: Maternal anaemia is a common problem worldwide. The aim of this study is to compare the efficacy and safety of FCM vs iron sucrose for correction of iron deficiency during pregnancy.Methods: This study was conducted in Swasthya healthcare, Jammu for a period of ten months from Sep 2017 to June 2018. A total of 100 women with Hb 7-9.9g% enrolled. They were divided into two groups of 50 each. Group A were given Iron Carboxy maltose and Group B were given Iron Sucrose. These were compared for their efficacy and safety.Results: In the present study, the rise in mean hemoglobin at 4 weeks in Group A was 1.79±0.47 and 1.06±0.11 in Group B which was highly significant (p-value<0.0001). Rise in mean serum ferritin level at 4 weeks in Group A was 123.80±16.03 and in Group B was 84.78±10.53. Statistically, this rise was also highly significant (p<0.0001). In present study, adverse reactions were observed in 34% patients in Group A, while in Group B it was observed in 52% patients.Conclusions: Iron carboxy maltose shows higher rise in hemoglobin and ferritin levels as compared to Iron Sucrose and incidence of adverse effects is also comparatively lower in the former

    Pleomorphic Lobular Carcinoma in a Male Breast: A Rare Occurrence

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    Carcinoma of male breast is uncommon as it accounts for 0.7% of total breast cancer. The pathology of male breast cancer is remarkably similar to that of cancers seen in women. The same histological subtypes of invasive cancer are present, although papillary carcinomas (both invasive and in situ) are more common and lobular carcinomas are less common. The predominant histological type, in males, as in females, reported in large series has been infiltrating ductal carcinoma with scattered reports of infiltrating lobular carcinoma, all of them of classical type except for a single case of pleomorphic infiltrating lobular carcinoma. Herein, we describe a case of pleomorphic lobular carcinoma occurring in male breast

    Analysis of Nutritional Components, Antioxidant Activity and Antimicrobial Activity of Citrus Aurantiifolia (Christm.) Swingle of Assam, India

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    Citrus aurantiifolia (Christm.) Swingle, mostly known as the Key lime or Mexican lime.  In Assam, it is known as ‘Gol Nemu’, which is a small, evergreen citrus tree having significant place in the botanical geography of Assam, India. The present study is concentrated on the analysis of the nutritional components, antioxidant activity, and antimicrobial properties of Citrus aurantiifolia (Christm.) Swingle, cultivated in the region of Kamrup District, Assam, India. The results of this research provide scientific understanding of Citrus aurantiifolia as an abundant source of nutrients like soluble carbohydrate, soluble protein, free fatty acids, vitamin C, along with potent antioxidant and antimicrobial properties. The illumination of this study could have implications for its implementation in both nutraceutical and pharmaceutical industries, as well as in encouraging its consumption for enhanced well-being

    Machine Learning Made Easy (MLme): A Comprehensive Toolkit for Machine Learning-Driven Data Analysis.

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    BACKGROUND Machine learning (ML) has emerged as a vital asset for researchers to analyze and extract valuable information from complex datasets. However, developing an effective and robust ML pipeline can present a real challenge, demanding considerable time and effort, thereby impeding research progress. Existing tools in this landscape require a profound understanding of ML principles and programming skills. Furthermore, users are required to engage in the comprehensive configuration of their ML pipeline to obtain optimal performance. RESULTS To address these challenges, we have developed a novel tool called Machine Learning Made Easy (MLme) that streamlines the use of ML in research, specifically focusing on classification problems at present. By integrating four essential functionalities, namely Data Exploration, AutoML, CustomML, and Visualization, MLme fulfills the diverse requirements of researchers while eliminating the need for extensive coding efforts. To demonstrate the applicability of MLme, we conducted rigorous testing on six distinct datasets, each presenting unique characteristics and challenges. Our results consistently showed promising performance across different datasets, reaffirming the versatility and effectiveness of the tool. Additionally, by utilizing MLme's feature selection functionality, we successfully identified significant markers for CD8+ naive (BACH2), CD16+ (CD16), and CD14+ (VCAN) cell populations. CONCLUSION MLme serves as a valuable resource for leveraging machine learning (ML) to facilitate insightful data analysis and enhance research outcomes, while alleviating concerns related to complex coding scripts. The source code and a detailed tutorial for MLme are available at https://github.com/FunctionalUrology/MLme

    A successful pregnancy outcome following embolisation for post modified Manchester Fothergill haemorrhage: an interesting case report

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    Genital prolapse is one of the most common disorder affecting women of varying age group; though it typically affects older and parous women. Malfunction of the pelvic support is the most common cause of this disorder. Increasing age and excess weight are established risk factors for pelvic organ prolapse.In young nulliparous women conservative surgery is preferred to preserve the fertility of the patient. The approach of surgery can be either vaginal or abdominal depending on the classification of prolapse. We reported a rare case of a 36-year-old P1L0 (IUFD1) A1 with cervical elongation who was apprehensive to have a child. She was managed at our institute and had a successful pregnancy outcome in spite of undergoing embolization for secondary haemorrhage following modified Manchester-Fothergill operation

    MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease

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    Human mitochondrial DNA (mtDNA) variations have been implicated in a broad spectrum of diseases. With over 3000 mtDNA variations reported across databases, establishing pathogenicity of variations in mtDNA is a major challenge. We have designed and developed a comprehensive weighted scoring system (MtSNPscore) for identification of mtDNA variations that can impact pathogenicity and would likely be associated with disease. The criteria for pathogenicity include information available in the literature, predictions made by various in silico tools and frequency of variation in normal and patient datasets. The scoring scheme also assigns scores to patients and normal individuals to estimate the cumulative impact of variations. The method has been implemented in an automated pipeline and has been tested on Indian ataxia dataset (92 individuals), sequenced in this study, and other publicly available mtSNP dataset comprising of 576 mitochondrial genomes of Japanese individuals from six different groups, namely, patients with Parkinson's disease, patients with Alzheimer's disease, young obese males, young non-obese males, and type-2 diabetes patients with or without severe vascular involvement. MtSNPscore, for analysis can extract information from variation data or from mitochondrial DNA sequences. It has a web-interface http://bioinformatics.ccmb.res.in/cgi-bin/snpscore/Mtsnpscore.pl webcite that provides flexibility to update/modify the parameters for estimating pathogenicity

    Patients' preferences for fracture risk communication: the Risk Communication in Osteoporosis (RICO) study.

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    peer reviewed[en] UNLABELLED: The RICO study indicated that most patients would like to receive information regarding their fracture risk but that only a small majority have actually received it. Patients globally preferred a visual presentation of fracture risk and were interested in an online tool showing the risk. PURPOSE: The aim of the Risk Communication in Osteoporosis (RICO) study was to assess patients' preferences regarding fracture risk communication. METHODS: To assess patients' preferences for fracture risk communication, structured interviews with women with osteoporosis or who were at risk for fracture were conducted in 11 sites around the world, namely in Argentina, Belgium, Canada at Hamilton and with participants from the Osteoporosis Canada Canadian Osteoporosis Patient Network (COPN), Japan, Mexico, Spain, the Netherlands, the UK, and the USA in California and Washington state. The interviews used to collect data were designed on the basis of a systematic review and a qualitative pilot study involving 26 participants at risk of fracture. RESULTS: A total of 332 women (mean age 67.5 ± 8.0 years, 48% with a history of fracture) were included in the study. Although the participants considered it important to receive information about their fracture risk (mean importance of 6.2 ± 1.4 on a 7-point Likert scale), only 56% (i.e. 185/332) had already received such information. Globally, participants preferred a visual presentation with a traffic-light type of coloured graph of their FRAX® fracture risk probability, compared to a verbal or written presentation. Almost all participants considered it important to discuss their fracture risk and the consequences of fractures with their healthcare professionals in addition to receiving information in a printed format or access to an online website showing their fracture risk. CONCLUSIONS: There is a significant communication gap between healthcare professionals and patients when discussing osteoporosis fracture risk. The RICO study provides insight into preferred approaches to rectify this communication gap

    Patients' preferences for fracture risk communication: the Risk Communication in Osteoporosis (RICO) study.

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    The RICO study indicated that most patients would like to receive information regarding their fracture risk but that only a small majority have actually received it. Patients globally preferred a visual presentation of fracture risk and were interested in an online tool showing the risk. The aim of the Risk Communication in Osteoporosis (RICO) study was to assess patients' preferences regarding fracture risk communication. To assess patients' preferences for fracture risk communication, structured interviews with women with osteoporosis or who were at risk for fracture were conducted in 11 sites around the world, namely in Argentina, Belgium, Canada at Hamilton and with participants from the Osteoporosis Canada Canadian Osteoporosis Patient Network (COPN), Japan, Mexico, Spain, the Netherlands, the UK, and the USA in California and Washington state. The interviews used to collect data were designed on the basis of a systematic review and a qualitative pilot study involving 26 participants at risk of fracture. A total of 332 women (mean age 67.5 ± 8.0 years, 48% with a history of fracture) were included in the study. Although the participants considered it important to receive information about their fracture risk (mean importance of 6.2 ± 1.4 on a 7-point Likert scale), only 56% (i.e. 185/332) had already received such information. Globally, participants preferred a visual presentation with a traffic-light type of coloured graph of their FRAX® fracture risk probability, compared to a verbal or written presentation. Almost all participants considered it important to discuss their fracture risk and the consequences of fractures with their healthcare professionals in addition to receiving information in a printed format or access to an online website showing their fracture risk. There is a significant communication gap between healthcare professionals and patients when discussing osteoporosis fracture risk. The RICO study provides insight into preferred approaches to rectify this communication gap. [Abstract copyright: © 2023. The Author(s).
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