Evaluation of serum paraoxonase level and dyslipidemia in psoriasis

Background: Psoriasis is a chronic recurrent inflammatory skin disorder that is associated with oxidative stress, altered lipid metabolism and with high risk of cardiovascular events. High density lipoprotein (HDL) bound serum paraoxonase enzyme exhibits anti-atherogenic properties. It protects against the development of coronary heart disease by preventing low density lipoprotein (LDL) oxidation. The aim of our work was to evaluate the serum paraoxonase levels and dyslipidemia in psoriasis.Methods: Present study involved 100 participants of which 50 were diagnosed cases of psoriasis and 50 were age and sex matched healthy controls, who fulfilled inclusion criteria. Serum paraoxonase (PON), and lipid profile were estimated in cases and controls. Lipid profile was estimated by using autoanalyser EM 200 and serum paraoxonase by spectrophotometric method.Results: Patients presented risk changes in lipid profile [(increase in triglycerides (p=0.005), low density lipoprotein cholesterol (p=0.009), very low density levels (p=0.002) and a reduction in high density lipoprotein cholesterol (p≤0.001)] which were highly significant when compared to controls. Serum paraoxonase levels was decreased in psoriasis patient compared to control which was statistically highly significant (p= 0.001).Conclusions: Present data suggest that psoriasis patients must be considered as a group at risk for cardiovascular disease

Adverse drug reactions in the department of dermatology at a tertiary care hospital: a prospective study

Background: To study cutaneous adverse drug reactions with regard to their clinical pattern. etiology, causality and severity.Methods: It was a prospective study undertaken in a 300 bedded tertiary care hospital. Patients with cutaneous ADRs presenting in Dermatology OPD were studied. Causality and severity of the adverse drug reactions were analysed and other parameters such as gender wise distribution of the ADRs and types of ADR were studied.Results: 35 cases of ADRs were enrolled for the study in the duration of Sept.2016 to May 2017. The majority of the patients were in the age group of 21-30 years (37.14%). The most common CADRs were Acne vulgaris (22.86%), followed by Fixed Drug eruption (11.43%) and Tinea cruris (8.57%). The most common class of drugs causing ADRs were topical steroids (64%), followed by non-steroidal anti-inflammatory drugs (14.29%).Conclusions: Female preponderance was seen. Topical steroids were the most offending drug followed by Diclofenac Sodium, the analgesic. Causality assessment showed a high score of Certain category. These variations may be explained by variations in drug usage patterns. The knowledge of the adverse drug reactions and the drugs causing them is essential for the clinician so that the choice of drug therapy can be made keeping these adverse drug reactions in mind

Internal combustion engine sensor network analysis using graph modeling

In recent years there has been a rapid development in technologies for smart monitoring applied to many different areas (e.g. building automation, photovoltaic systems, etc.). An intelligent monitoring system employs multiple sensors distributed within a network to extract useful information for decision-making. The management and the analysis of the raw data derived from the sensor network includes a number of specific challenges still unresolved, related to the different communication standards, the heterogeneous structure and the huge volume of data. In this paper we propose to apply a method based on complex network theory, to evaluate the performance of an Internal Combustion Engine. Data are gathered from the OBD sensor subset and from the emission analyzer. The method provides for the graph modeling of the sensor network, where the nodes are represented by the sensors and the edge are evaluated with non-linear statistical correlation functions applied to the time series pairs. The resulting functional graph is then analyzed with the topological metrics of the network, to define characteristic proprieties representing useful indicator for the maintenance and diagnosis

HOME REMEDIES FOR ORAL DISEASES

Self-help through self-treatment makes a countless contribution. Home remedy use is a component of health self-management, particularly among people who have experienced limited access to medical care or discrimination by the health care system. Self-care using home remedies survived for long time and it surely give effect in the easiest, safest, fastest and cheapest way. Oral diseases are a significant public health burden in India as well as across the globe. The consequence of poor oral health deteriorates the individual health and wellbeing, decrease economic productivity, and act as significant risk factors for other systemic health ailments.  Developing countries have more diverse health systems than developed countries and expenditure in oral health care is low, access to Dental healthcare is limited and restricted to emergency Dental care or pain relief. Moreover, allopathic medicine is expensive and these chemicals can have adverse effects. Hence, there is a need for alternative products and natural extracts obtained from plants which are safe and biocompatible can be considered as good alternatives. In such circumstances use of home remedies would meet the need for treating minor ailments safely. Home remedies are good and comparable methods of equal value which have met the scientific and regulatory criteria for safety and effectiveness. The purpose of this review was to evaluate some of the commonly available foods being utilized in the treatment of oral diseases at home

Friendbook: An Advanced Friend Recommendation System For Social Networking sites

A couple of years ago, people had a limited social circle. In this century of evolving technology, it has become easier for people to socialize on a large scale via social media. There are several methods in the existing social networking sites where friend recommendation is based on pre-existing relationships like mutual friends, geographical distances, etc. This is not best way to suggest friends based on recent social findings. Hence we have developed a friend recommendation system that recommends friends to the user based on the lifestyle vector. Inspired by Data Mining, this method uses Apriori algorithm to match the websites visited by the users, which is the similarity metric used in this method

A BAYESIAN APPROACH TO JOINT MODELING OF MENSTRUAL CYCLE LENGTH AND FECUNDITY

Female menstrual cycle length is thought to play an important role in couple fecundity, or the biologic capacity for reproduction irrespective of pregnancy intentions. A complete assessment of the association between menstrual cycle length and fecundity requires a model that accounts for multiple risk factors (both male and female) and the couple\u27s intercourse pattern relative to ovulation. We employ a Bayesian joint model consisting of a mixed effects accelerated failure time model for longitudinal menstrual cycle lengths and a hierarchical model for the conditional probability of pregnancy in a menstrual cycle given no pregnancy in previous cycles of trying, in which we include covariates for the male and the female and a flexible spline function of intercourse timing. Using our joint modeling approach to analyze data from the Longitudinal Investigation of Fertility and the Environment Study, a couple based prospective pregnancy study, we found a significant quadratic relation between menstrual cycle length and the probability of pregnancy even with adjustment for other risk factors, including male semen quality, age, and smoking status

Adolescent Neuroblastoma of Lower Limb

Neuroblastoma is an embryonic tumour of neural crest origin, commonly seen in children with upper abdomen involvement. Rarely neuroblastomas present in adolescents and adults involving lower limb. Histopathologically neuroblastoma of lower limb can be confused with other small round cell tumour especially with Ewing’s sarcoma and rhabdomyosarcoma. A 16 year old male presented with 15x11cm swelling, pain and multiple discharging sinuses of right leg since 4 months. Routine haematological and biochemical analysis were within normal limits. Radiology of right leg showed large soft tissue swelling encompassing the pathological fracture of tibia and bowing of fibula. Fine needle aspiration of the swelling revealed malignant small round cell tumour. Histopathology revealed poorly differentiated neuroblastoma of lower limb. The immunohistochemistry of Synaptophysin and Chromogranin were positive and CD 99 was negative. Neuroblastoma diagnosed at unusual site with uncommon age has poor prognosis. Hence, one must keep in mind the differential diagnosis of neuroblastoma as one of the differential diagnosis in evaluating the soft tissue tumours of lower limb

Preconception Maternal and Paternal Exposure to Persistent Organic Pollutants and Birth Size: The LIFE Study

Background: Persistent organic pollutants (POPs) are developmental toxicants, but the impact of both maternal and paternal exposures on offspring birth size is largely unexplored. Objective: We examined associations between maternal and paternal serum concentrations of 63 POPs, comprising five major classes of pollutants, with birth size measures. Methods: Parental serum concentrations of 9 organochlorine pesticides, 1 polybrominated biphenyl (PBB), 7 perfluoroalkyl chemicals (PFCs), 10 polybrominated diphenyl ethers (PBDEs), and 36 polychlorinated biphenyls (PCBs) were measured before conception for 234 couples. Differences in birth weight, length, head circumference, and ponderal index were estimated using multiple linear regression per 1-SD increase in natural log-transformed (ln-transformed) chemicals. Models were estimated separately for each parent and adjusted for maternal age, maternal prepregnancy body mass index (kilograms per meter squared) and other confounders, and all models included an interaction term between infant sex and each chemical. Results: Among girls (n = 117), birth weight was significantly lower (range, 84–195 g) in association with a 1-SD increase in ln-transformed maternal serum concentrations of DDT, PBDE congeners 28 and 183, and paternal serum concentrations of PBDE-183 and PCB-167. Among boys (n = 113), maternal (PCBs 138, 153, 167, 170, 195, and 209 and perfluorooctane sulfonamide) and paternal (PCBs 172 and 195) serum concentrations of several POPs were statistically associated with lower birth weight (range, 98–170 g), whereas paternal concentrations of PBDEs (66, 99) were associated with higher birth weight. Differences in offspring head circumference, length, and ponderal index were also associated with parental exposures. Conclusions: Preconceptional maternal and paternal concentrations of several POPs were associated with statistically significant differences in birth size among offsprin

Trust And Energy-Aware Routing Protocol for Wireless Sensor Networks Based on Secure Routing

Wireless Sensor Network (WSN) is a network area that includes a large number of nodes and the ability of wireless transmission. WSNs are frequently employed for vital applications in which security and dependability are of utmost concern. The main objective of the proposed method is to design a WSN to maximize network longevity while minimizing power usage. In a WSN, trust management is employed to encourage node collaboration, which is crucial for achieving dependable transmission. In this research, a novel Trust and Energy Aware Routing Protocol (TEARP) in wireless sensors networks is proposed, which use blockchain technology to maintain the identity of the Sensor Nodes (SNs) and Aggregator Nodes (ANs). The proposed TEARP technique provides a thorough trust value for nodes based on their direct trust values and the filtering mechanisms generate the indirect trust values. Further, an enhanced threshold technique is employed to identify the most appropriate clustering heads based on dynamic changes in the extensive trust values and residual energy of the networks. Lastly, cluster heads should be routed in a secure manner using a Sand Cat Swarm Optimization Algorithm (SCSOA). The proposed method has been evaluated using specific parameters such as Network Lifetime, Residual Energy, Throughpu,t Packet Delivery Ratio, and Detection Accuracy respectively. The proposed TEARP method improves the network lifetime by 39.64%, 33.05%, and 27.16%, compared with Energy-efficient and Secure Routing (ESR), Multi-Objective nature-inspired algorithm based on Shuffled frog-leaping algorithm and Firefly Algorithm (MOSFA) , and Optimal Support Vector Machine (OSVM)

Focussed antenatal care a possible opportunity towards safe motherhood

Background: The Primary Health Care Setting gives a challenging opportunity for the clinicians to deal with pregnancy into favorable outcomes solely based on the clinical skills in view of innumerable socio-cultural-economic barriers. The Pregnant women make satisfactory progress-  to  full term, deliver  with  minimal morbidity, no loss of life and healthy baby-How to ensure? This is the objectives of our study. Suppose Obstetricians spare time, use checklist, Prioritize and provide care will it make any difference in saving mothers? Objectives: Describe in detail the process of Focused Antenatal Care as practiced in Primary Health Care setting and Minimize mortality and morbidity due to pregnancy by 25 percent from 169. (Maternal Mortality Rate (MMR 169).Methods: This is a community based descriptive, prospective, cohort study about a group of pregnant women till their delivery, using multiple cluster random sampling of 251 high risk pregnant women and subsequent follow up over 3 months with focused care. Compilation of data and analysis using SPSS Version 20.Results: Total Study participants 251 represented all the sections of target population with regard to socio-economic and cultural background. The participants attended FANC giving a response rate of 100%. These participants had one or more risk factor. All but 10 participants attended 4 or more FANC clinic visits 241 (96%). In these participants the commonest manageable morbid conditions are underweight (20%), anaemia (14%) preeclampsia (8%), eclampsia (2%) and gestational diabetes. In our finding 87% mothers completed full term pregnancy, 11.5% preterm (>28 but 2.5Kg, 13% Baby weight < 2.5 Kg. with an average of 2.9Kg.Conclusions: We are able to describe the Focused ANC and able to help improve the quality of life and to minimize morbidity and mortality in pregnant women