Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer.

The second largest cause of mortality worldwide is breast cancer, and it mostly occurs in women. Early diagnosis has improved further treatments and reduced the level of mortality. A unique deep learning algorithm is presented for predicting breast cancer in its early stages. This method utilizes numerous layers to retrieve significantly greater amounts of information from the source inputs. It could perform automatic quantitative evaluation of complicated image properties in the medical field and give greater precision and reliability during the diagnosis. The dataset of axillary lymph nodes from the breast cancer patients was collected from Erasmus Medical Center. A total of 1050 images were studied from the 850 patients during the years 2018 to 2021. For the independent test, data samples were collected for 100 images from 95 patients at national cancer institute. The existence of axillary lymph nodes was confirmed by pathologic examination. The feed forward, radial basis function, and Kohonen self-organizing are the artificial neural networks (ANNs) which are used to train 84% of the Erasmus Medical Center dataset and test the remaining 16% of the independent dataset. The proposed model performance was determined in terms of accuracy (Ac), sensitivity (Sn), specificity (Sf), and the outcome of the receiver operating curve (Roc), which was compared to the other four radiologists' mechanism. The result of the study shows that the proposed mechanism achieves 95% sensitivity, 96% specificity, and 98% accuracy, which is higher than the radiologists' models (90% sensitivity, 92% specificity, and 94% accuracy). Deep learning algorithms could accurately predict the clinical negativity of axillary lymph node metastases by utilizing images of initial breast cancer patients. This method provides an earlier diagnostic technique for axillary lymph node metastases in patients with medically negative changes in axillary lymph nodes.

Machine Learning Approach for Cardiovascular Risk and Coronary Artery Calcification Score.

Coronary artery calcification (CAC) could assist in the discovery of new risk elements for coronary artery disorder. CAC evaluation, on the other hand, is difficult due to the wide range of CAC in the populations. As a reason, evaluating and analysing data among research have become complicated. In the Research of Inherited Risk Factors for Coronary Atherosclerosis, we used CAC information to test the effects of different analytical methodologies on the correlation with recognized cardiovascular risk elements in asymptomatic patients. Cardiac computed tomography (CT) is also seeing an increase in examinations, and machine learning (ML) could assist with the growing amount of extracted data. Furthermore, there are other sectors in cardiac CT where machine learning could be crucial, including coronary calcium scoring, perfusion, and CT angiography. The establishment of risk evaluation algorithms based on information from CAC utilizing machine learning could assist in the categorization of patients undergoing cardiovascular into distinct risk groups and effectively adapt their treatments to their unique situations. Our findings imply that for forecasting CVD occurrences in asymptomatic people, age-sex segmentation by CAC percentile rank is as effective as absolute CAC scoring. Longitudinal population-based investigations are currently underway and would offer further definitive findings. While machine learning is a strong technology with a lot of possibilities, its implementations in the domain of cardiac CAC are generally in the early stages of development and are not currently commonly accessible in medical practise because of the requirement for substantial verification. Enhanced machine learning will, however, have a significant effect on cardiovascular and coronary artery calcification in the upcoming years.

Heterogeneous donor circles for fair liver transplant allocation.

The United States (U.S.) Department of Health and Human Services is interested in increasing geographical equity in access to liver transplant. The geographical disparity in the U.S. is fundamentally an outcome of variation in the organ supply to patient demand (s/d) ratios across the country (which cannot be treated as a single unit due to its size). To design a fairer system, we develop a nonlinear integer programming model that allocates the organ supply in order to maximize the minimum s/d ratios across all transplant centers. We design circular donation regions that are able to address the issues raised in legal challenges to earlier organ distribution frameworks. This allows us to reformulate our model as a set-partitioning problem. Our policy can be viewed as a heterogeneous donor circle policy, where the integer program optimizes the radius of the circle around each donation location. Compared to the current policy, which has fixed radius circles around donation locations, the heterogeneous donor circle policy greatly improves both the worst s/d ratio and the range between the maximum and minimum s/d ratios. We found that with the fixed radius policy of 500 nautical miles (NM), the s/d ratio ranges from 0.37 to 0.84 at transplant centers, while with the heterogeneous circle policy capped at a maximum radius of 500 NM, the s/d ratio ranges from 0.55 to 0.60, closely matching the national s/d ratio average of 0.5983. Our model matches the supply and demand in a more equitable fashion than existing policies and has a significant potential to improve the liver transplantation landscape.

A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs.

Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a challenging task. The blood veins visible in fundus photographs are used in several disease diagnosis approaches. We sought to replicate the findings published in implementation and verification of a deep learning approach for diabetic retinopathy identification in retinal fundus pictures. To address this issue, the suggested investigative study uses recurrent neural networks (RNN) to retrieve characteristics from deep networks. As a result, using computational approaches to identify certain disorders automatically might be a fantastic solution. We developed and tested several iterations of a deep learning framework to forecast the progression of diabetic retinopathy in diabetic individuals who have undergone teleretinal diabetic retinopathy assessment in a basic healthcare environment. A collection of one-field or three-field colour fundus pictures served as the input for both iterations. Utilizing the proposed DRNN methodology, advanced identification of the diabetic state was performed utilizing HE detected in an eye's blood vessel. This research demonstrates the difficulties in duplicating deep learning approach findings, as well as the necessity for more reproduction and replication research to verify deep learning techniques, particularly in the field of healthcare picture processing. This development investigates the utilization of several other Deep Neural Network Frameworks on photographs from the dataset after they have been treated to suitable image computation methods such as local average colour subtraction to assist in highlighting the germane characteristics from a fundoscopy, thus, also enhancing the identification and assessment procedure of diabetic retinopathy and serving as a skilled guidelines framework for practitioners all over the globe.

Exposure to Toluene Di-isocyanate and Respiratory Effects in Flexible Polyurethane Foam Industries in Western India.

BACKGROUND: Flexible foam industry largely uses 2,4 and 2,6 Toluene di-isocyanate as main raw materials and chronic exposure to its result in occupational asthma. The exposure to di-isocyanates might be higher due to the usage of obsolete technology, hand-mixing methods and working in confined spaces with insufficient local exhaust ventilation systems in developing countries. Exposure studies in flexible foam industries have not been done in developing countries. OBJECTIVE: The present cross-sectional study was conducted to evaluate toluene di-isocyanate (TDI) exposures and respiratory health of the workers working in the seven flexible polyurethane foam industries located in Western India during 2010-2013. METHOD: A total of 128 personal air samples collected and evaluated for total TDI concentration using improved Occupational Safety and Head Administration method number 42. Then 194 workers were covered for complete clinical examination and spirometry for assessing respiratory health. RESULTS: In all, 17.83% of air samples exceeded the ACGIH TWA-TLV of 0.005 ppm for TDI. Though only 11 (5.6%) workers had respiratory complaints, the spirometry revealed that 19 (9.8%) and four (2.1%) had restrictive and obstructive type of pulmonary function impairment, respectively. CONCLUSION: The TWA concentration of TDI exceeded at raw material storage, mixing, foaming, block cutting and curing areas in four out of seven industries even in the presence of local exhaust systems. The respiratory health effect is less when compared to exposure to TDI, suitable preventive and control measures were suggested based on the study findings to the stakeholders to prevent the increase of respiratory health effects.

Effect of kerosene and biomass fuel as cooking medium on pulmonary function of adult nontobacco addict homemaker women residing in slums of Ahmedabad City, Gujarat.

BACKGROUND: Combustion of kerosene and biomass fuel in the kitchen as cooking medium is one of the major sources of indoor air pollution. Such contaminated indoor air quality adversely affects the respiratory health of exposed individuals over a period of time. Homemaker women especially residing in slum areas are always vulnerable to indoor air-pollution-related health hazards. OBJECTIVES: The objective is to assess the relationship between various socio-demographic factors and usage patterns of cooking fuel; and to determine the effect of cooking medium namely biomass, kerosene on pulmonary function parameters. METHODS: A cross-sectional observational study was carried out during April 2012 - April 2016 among 531 nontobacco addicted adult primary homemaker women residing in slums of Ahmedabad city of Gujarat. Basic information-related socio-demographic parameters were collected on a pretested questionnaire. Pulmonary function test (PFT) parameters were evaluated with standard techniques. The statistical analysis was carried out with SPSS software (version 17.0). Statistical tests of significance between groups and mean along with multivariate linear regression analysis were applied. RESULTS: Predominant cooking medium for nearly 40% of slum households were kerosene and biomass. Mean value of forced expiratory volume in the 1st s (FEV1) and FEV1/forced vital capacity (FVC) were significantly lower among Kerosene and biomass users compared to LPG users. Multivariate regression analysis with involvement of PFT parameters, cooking medium, and environmental tobacco smoke exposure (ETS) shows, deprivation of both FEV1 and FEV1/FVC were significantly related with the usage of kerosene and biomass; whereas no relation found with ETS. CONCLUSION: Reduction of pulmonary function parameters among the study participants were related with kerosene and biomass fuel usage in the kitchen.

Outcomes of Definitive Treatment of Signet Ring Cell Carcinoma of the Rectum: Is Minimal Invasive Surgery Detrimental in Signet Ring Rectal Cancers?

The outcome of surgery for signet ring adenocarcinoma of rectum is suboptimal with high predilection for locoregional and peritoneal metastases. Lack of intercellular adhesion due to focal loss of epithelial cell adhesion molecule (EpCAM) may account for this. In such patients, whether minimal invasive surgery carries a high risk of dissemination by pneumoperitoneum and tumor implantation remains uncertain. The aim of this study was to compare the outcomes of patients undergoing minimally invasive surgery (MIS) versus open surgery in patients with signet ring cell adenocarcinoma of rectum. A retrospective study was conducted at a tertiary care center over 3 years on 39 patients undergoing open surgery and 40 patients undergoing MIS diagnosed with signet ring cell carcinoma (SRCC) identified from our surgical database. Patient characteristics in terms of demographics, clinicoradiological staging, neoadjuvant therapy, and type of surgery with morbidity were compared in the two groups. Data on patients undergoing adjuvant therapy and 3 years disease-free survival (DFS) and overall survival (OS) were analyzed. Recurrence patterns in both groups were separately identified as locoregional, peritoneal, or systemic. The number of patients undergoing surgery in the two arms was 40 (MIS) and 39 (open). In the MIS arm, mean DFS was 29 months whereas in the open arm, it was 25.8 months. The mean OS was 33.65 months for the MIS arm and that for the open arm was 36.34 months. This retrospective study reveals no significant difference in outcomes of surgery for signet ring cell rectal cancers with either MIS or open approach.

Effect of Modified Constrain Induced Movement Therapy on Fatigue and Motor Performance in Sub Acute Stroke.

OBJECTIVES: There is a little available information about the fatigue status among people receiving modified constraint induced movement therapy. The study examined such changes. The effect of using restraint on motor performance was also evaluated in sub acute phase after stroke. MATERIALS AND METHODS: The study was designed as two group pretest and post-test study. The experimental design included a pretest and post test measures of dependent variables fatigue and motor function. All patients were recruited from the Safdurjung Hospital. 20 patients in subacute phase of stroke (3-9 months), (N = 10) mean age±SD 51.90±15.27, MAS score mean ± SD 1.90±.316 and post stroke duration mean ±SD 6.45±2.26 were included in the experimental group and (N = 10) mean age ± SD 54.10±17.42, MAS score mean ±SD 1.52±0.52 and post stroke duration mean±SD score 4.55± 2.52 were included in the control group. The subjects in the experimental group were restrained for six hours every week day with task training for 2 h per day five times a week for three weeks and the subjects in the controlled group received task training for 2 h per day five times a week for three weeks with no restrain. Motor Performance and fatigue were measured on day to day basis by Wolf Motor Function Test Scores (WMFT) and 11th item of Barrow Neurological Institute (BNI) scale in both experimental and controlled group. RESULTS: The restraint group exhibited significant better motor performance than the controlled group. Mean difference between Pre- WMFT scores and Post WMFT scores were (0.533±.362) as compared to controlled group (0.192±.23). No significant statistical difference was observed in the difference of mean Pre- BNI and Post - BNI scores in either of the two groups (p = .57). Difference between the experimental and controlled group in motor performance and fatigue scores were nonsignificant. CONCLUSIONS: Restraint improves motor performance in subacute therapy group and the intensive practice associated with m-CIMT may be administered without the exacerbation of fatigue.

GPUPeP: Parallel Enzymatic Numerical P System simulator with a Python-based interface.

Membrane computing is a computational paradigm inspired by the structure and behavior of a living cell. P Systems are the computing devices that are used to realize membrane computing models. Numerous theoretical studies on many variants of P Systems have shown them to be computationally universal. There is a wide range of applications of P Systems from modeling of biological processes to image processing. Among many variants of P Systems, one of the most important is Enzymatic Numerical P System (ENPS). ENPS is a class of P System in which membranes operate on numerical values. To realize the power of ENPS there are a few simulators developed. Each and every simulator has some advantages as well as some disadvantages. Here, a GPU based simulator using Python as a user interaction language is developed. This tool is a completely parallel variant, compatible with a Python based sequential simulator (PeP) which was the first Python based work for ENPS. The developed simulator uses CUDA to interact with GPU and gives the desired speed up, while processing the membranes. There are two important case studies which show the performance of the developed tool to be far better than the other serial simulators.

Protection of an intraoral surgical wound with a new dressing: a randomised controlled clinical trial.

Operations that involve the maxillofacial region often require intraoral incisions, and contamination of these wounds is common as a result of the presence of saliva, plaque, and food debris. Postoperative infection is therefore common. The aim of the study was to evaluate the clinical efficacy of an intraoral dressing material, Reso-Pac®, in improving postoperative comfort for patients and its effect on wound healing. One hundred patients who required removal of impacted mandibular third molars were recruited, and were randomised into two groups (50 in each). A standardised surgical technique was used for removal of the impacted teeth, and wounds were closed with sutures. Postoperatively, the study group was given Reso-Pac® dressing while the control group was not. Postoperative pain was measured using a visual analogue scale (VAS). Wound healing was assessed with the help of Landry's scale, and we also measured thermal sensitivity. Data were analysed using the paired t test. The results in the study group were significantly better than those in the control group (p<0.001). Reso-Pac® promoted wound healing and improved patients' comfort during the postoperative phase.

Immediate intraoperative sentinel lymph node analysis by frozen section is predictive of lymph node metastasis in endometrial cancer.

Sentinel lymph nodes sampling (SLN) in endometrial cancer is being evaluated as a means to gather prognostic information about lymphatic metastasis while avoiding the morbidity associated with complete lymphadenectomy. SLN ultrastaging has been advocated to identify low-volume metastases, but its value remains uncertain. This study aims to evaluate a pathological protocol for the immediate intraoperative SLN work-up using H&E staining alone. In this retrospective single-center study, patients received standardized cervical injection of indocyanine green, SLN mapping followed by pelvic lymphadenectomy with or without para-aortic lymphadenectomy. SLNs were entirely frozen, multiple H&E stained sections prepared and evaluated intraoperatively. No immunohistochemistry was performed. SLN results were compared with the complete lymphadenectomy specimen. Over 3.5 years, 90 patients were identified who underwent SLN mapping and subsequent complete pelvic lymphadenectomy. At least one SLN was detected in 79 (88%) patients. The median number of SLNs removed was 2.0. Para-aortic SLNs were detected in 7%. Final pathology showed 67% Type I tumors, 76% locally confined. The mean number of lymph nodes removed during complete lymphadenectomy was 21. In this series, only 6 patients had lymph node metastases. 5/6 were identified by the described SLN approach resulting in 83.3% sensitivity and a negative predictive value of 98.7%. Our approach permits immediate intraoperative results and helps guide the primary surgery. The immediate SLN work-up using frozen sections showed both high accuracy and negative predictive value. The comparably lower sensitivity may be related to the low number of patients with positive lymph nodes (7.6%).

Multi-ENPS simulator support tool with automatic file inter-conversion and multi-membrane execution.

P System or Membrane Computing is an unconventional and natural computing model inspired by the functioning of a living cell. This model has an inherently parallel structure. There are several variants of P System developed, each of which has a different application. One of the variants, Enzymatic Numerical P System (ENPS), has primarily been developed to be used with numerical values (as in economics) and thus has vast applications. For realizing ENPS there are several tools available, primarily based on Java and Python, each of which has a different input format. Currently, there is no tool which allows the user to execute ENPS using both the simulators on the same platform, the issue being inter-conversion between input formats, namely, XML and PeP (specific format designed for Python based ENPS). Another major issue with existing simulators is their inability to allow multiple membrane systems to be executed and there is no facility for interconnection between two membrane systems. A tool developed here solves both problems namely, file inter-conversion and multiple membrane support by transferring dependent variable values automatically according to users' choice. The tool is developed using Python 3.0 and has only a few dependencies. The tool is tested under different scenarios and the results confirm the correctness of the tool.

Side chain torsion dictates planarity and ionizability of green fluorescent protein's chromophore leading to spectral perturbations.

Spectral characteristics of fluorescent proteins (FPs) are well studied, and through protein engineering, several FP variants constituting entire visible spectrum have been created. One of the most common mechanisms attributed to spectral shifts in FP is excited state proton transfer (ESPT), hydroxyl moiety protonation and deprotonation, along with chromophore cis-trans isomerism. The most widely studied FPs are those derived from avGFP (Aequorea victoria GFP) and Dsred (Discosoma coral). Apart from the above mechanism, certain interacting residues are said to play a vital role in altering the proton transfer pathway leading to numerous spectral variants. Similarly, the hydrogen-bonded networks solely cannot dictate the energy landscape of FPs. Non-bonded interactions also can create secondary harmonic shifts by dipole-dipole inductions. Side chain contacts tend to alter the topological and torsional geometry, thereby disturbing the chromophore's planarity. Side chain torsional variations have almost been unaccounted for their distortions in FPs. We hypothesize the torsional landscape and altered residual interactions as prominent factors for the spectral shifts. Through our 200 ns molecular dynamics investigation, we prospect that van der Waals packing in Dsred is more compact than that of avGFP, thus creating a low solvent occupiable environment and reduced solvent interactions having higher red spectral shift. The torsional changes of wild avGFP, S65T avGFP and Dsred have been studied to comprehend the inter-residual contact distance and the geometrical descriptors. Communicated by Ramaswamy H. Sarma.

A facile method for high level dual expression of recombinant and congener protein in a single expression system.

Protein engineering is an emerging field for developing novel therapeutic proteins and commercial enzymes, along with a major impact on the global market. In recent decades, advanced methods employing protein modification through expansion of the genetic code have led to the development of proteins with new biochemical and physical properties. These techniques have produced engineered proteins with improved attribute comprising substrate relaxation, protein drug conjugation and high stability under extreme conditions of high temperatures, pH and organic solvents. Furthermore, residue specific incorporation is the simplest method for the global incorporation of non-canonical amino acid (NCAA) for protein modification; however it has the major drawbacks of high production cost and manpower requirement. In the present study, we developed a method for the incorporation of single NCAA in two different proteins by using Escherichia coli (E. coli) expression system. For that, the dual protein expressing Escherichia coli JW2581 strain was constructed by transforming pQE80L and pD881-PpiBT vectors with different promoters, selectable markers and AnnexinV, GFPHS gene. To modify the protein, the 3,4 dihydroxy phenyl alanine (DOPA) was globally incorporated into the GFPHS and Annexin V protein using dual protein expression system. The incorporation efficiency during the dual protein expression was achieved through optimized concentrations of amino acids, carbohydrate and inducers in minimal medium. This method for the incorporation of single NCAA into two different proteins using a single expression host system saves the production cost, manpower and time substantially.

Dentists' Attitudes and perceptions toward protective mouthguards.

OBJECTIVES (BACKGROUND): Risk of dental injury from contact sports can be prevented by the use of mouthguards. Dentists provide excellent information regarding mouthguards. Thus, the aim was to assess the awareness among dentists regarding the same, the level of training in fabricating a mouthguard and whether they regularly recommend one for their athletically active patients. MATERIALS AND METHODS: This institutional cross-sectional survey was conducted in the Department of Orthodontics, Government Dental College, Kottayam, and Kerala, India. An online form was sent out to 1500 offices and departments in dental institutions through email with a time period of 1 month given to fill responses and was analyzed using descriptive statistics. RESULTS: A response from 640 was recorded; most of them had not received or had fabricated a mouthguard during their dental training or private practice, even though one-third recommended one to their athletically active patients with a lack of formal training being the reason for not routinely advocating mouthguard usage. Most were aware of more than one type of mouthguards and recommended customized one for the same, however, more than half were not aware of a different type intended for orthodontic patients. CONCLUSION: It is not a routine practice currently, among general dentists and specialists alike, in our country, to prescribe a mouthguard. It is time that the dental fraternity spread awareness for the prevention of injuries. A relook into the academic curriculum while advocating the use of customized mouthguards to patients due to contact sports is required.

Prophylactic magnesium sulphate in prevention of eclampsia in women with severe preeclampsia: randomised controlled trial (PIPES trial).

Optimum dose, route and duration of use of prophylactic magnesium sulphate in women with severe pre-eclampsia is still controversial. We compared the efficacy and safety of 'low-dose Dhaka' regime with 'Loading dose only' regime for seizure prophylaxis in severe preeclampsia using a randomised controlled trial in 402 women. The incidence of eclampsia in the 'low-dose Dhaka' regime group was 1.49% and that in the 'Loading dose only regime' was 2.98% (p = .321). In the low-dose Dhaka regime, injection site abscess and respiratory depression occurred in one woman each. Neonatal outcomes such as Apgar score at 5 minutes (5.0% vs. 8.05% p = .251) and perinatal mortality (20.4% vs. 21.9%, p = .724) were similar in both groups. Loading dose only regime may be considered an effective alternative regime for the prevention of eclampsia in women with severe preeclampsia. Impact statement What is already known on this subject: Efficacy of therapeutic short regime magnesium sulphate in eclampsia has already been reported. Data regarding prophylactic short regime in women with preeclampsia is sparse. What the results of this study add: We have shown that short regime of magnesium sulphate using only the loading dose in the prevention of seizure in preeclampsia is an effective alternative to the low-dose Dhaka regime. What the implications are of these findings for clinical practice and/or further research: The short regime is less resource-intensive. Further larger studies are needed to confirm the efficacy of this short regime and to establish its cost-effectiveness.

Maternal and perinatal outcomes in women undergoing expectant management of early-onset pre-eclampsia: A retrospective cohort study

Background. Expectant management of early-onset pre-eclampsia, with the aim of improving perinatal outcomes, may increase the risk of maternal morbidity. Objective. To study the maternal and perinatal outcomes and their association with various risk factors in women undergoing expectant management for early-onset pre-eclampsia. Methods. A retrospective cohort study was carried out in a tertiary centre in south India between April 2014 and June 2015. We studied 201 women with singleton pregnancies with pre-eclampsia diagnosed between 28 and 34 weeks' gestation. Demographic data, medication and treatment details, and delivery data were extracted from maternal charts. The primary outcomes were: (i) composite maternal outcomes, defined as the development of any of eclampsia, abruptio placentae, pulmonary oedema or renal failure; and (ii) perinatal mortality. Logistic regression was used to assess the independent association risk factors with primary outcomes, after adjusting for other variables. Results. Sixty-nine women (34.3%) had one or more of the composite adverse maternal outcomes, and there were 74 (36.8%) cases of perinatal mortality. The presence of imminent symptoms (odds ratio (OR)=2.35) and multiparity (OR=2.31) were associated with composite adverse maternal outcomes, whereas low birth weight and breech vaginal delivery were associated with perinatal mortality. Perinatal mortality was higher in women with pre-eclampsia diagnosed between 28 and 30 weeks. Gestational age at diagnosis was not found to be associated with composite adverse maternal outcomes or perinatal morbidity. Conclusion. Expectant management in early-onset pre-eclampsia can be safely considered without increasing maternal risk, after thorough counselling about outcomes, based on the available neonatal facilities in low-resource settings

Association between gestational diabetes mellitus exposure and childhood adiposity is not substantially explained by offspring genetic risk of obesity.

AIM: To examine the extent to which offspring obesity-associated genetic risk explains the association between gestational diabetes mellitus and childhood adiposity. METHODS: We studied 282 children aged 7-12 years who were enrolled in the Exploring Perinatal Outcomes in Children Study. A genetic risk score for BMI was calculated as the count of 91 established BMI-raising risk alleles. Multivariable linear and logistic regression models were used to estimate associations between the offspring genetic risk score and exposure to gestational diabetes and childhood adiposity (BMI and waist circumference), adjusting for clinical and demographic covariates. The contribution of offspring genetic risk to associations between maternal gestational diabetes and childhood outcomes was estimated by comparing the regression coefficients for the gestational diabetes variable in models with and without the genetic risk score. RESULTS: The offspring BMI genetic risk score was associated with childhood BMI (P = 0.006) and waist circumference (P = 0.02), and marginally with gestational diabetes (P = 0.05). Offspring BMI genetic risk did not contribute significantly to associations between gestational diabetes and childhood BMI [7.7% (95% CI -3.3, 18.8)] or waist circumference [5.8% (95% CI -3.1, 14.8); P = 0.2 for both]. CONCLUSIONS: Offspring obesity genetic risk does not explain a significant proportion of the association between gestational diabetes exposure and childhood adiposity. The association between gestational diabetes and childhood adiposity is probably explained through alternative pathways, including direct intrauterine effects or a shared postnatal environment.

Study comparing 3 hour and 24 hour post-operative removal of bladder catheter and vaginal pack following vaginal surgery: a randomised controlled trial.

BACKGROUND: Traditional practice after vaginal hysterectomy was to keep the vaginal pack and urinary catheter for 24 hours post operatively. But there were studies that prolonged cathterisation was associated with urinary infection. So this study was conducted to compare the post operative outcome when the urinary catheter and vaginal pack were removed after 3 hours and after 24 hours after surgery. METHODS: The study was done in the Department of Obstetrics and Gynecology, in a tertiary teaching institute of South India from September 2008 to March 2010. It was a randomised controlled trial involving 200 women undergoing vaginal surgery, who were randomly assigned to 2 groups - catheter and vaginal pack were removed either in 3 h in study group or were removed in 24 h in control group. The outcome of the study were vaginal bleeding, urinary retention, febrile morbidity, and urinary infection. RESULTS: There was no significant difference between the study and control groups with respect to vaginal bleeding (0 and 1%, p = 1), urinary retention (9 and 4%, p = 0.15), febrile morbidity (7 and 4%, p = 0.35), and urinary infection (26% in each group, p = 1.0). CONCLUSION: Keeping the urinary catheter and vaginal pack for 24 h following vaginal surgery does not offer any additional benefit against removing them after 3 h.