Assessment Of 10-Year Risk Of Developing A Major Cardiovascular Event In Patients Attending A Hospital For The Treatment Of Other Disorders

Objective: To assess the individual’s predicted risk of developing a CVD event in 10 y using risk scores among persons with other disorders/diseases. Methods: This is a cross-sectional observational study conducted for a period of 6 mo among 283 subjects. Total risk was estimated individually by using Framingham Risk Scoring Algorithm and ASCVD risk estimator. Results: According to Framingham Risk score the prevalence of low risk (<10%) identified as 67.84% (192), followed by intermediate risk (10%-19%), 19.08% (54), and high risk (≥20%) 13.07% (37). By using ASCVD Risk estimator, risk has reported in our study population was low risk (<5%) is 48.76% (138), borderline risk (5-7.4%) is 13.07% (37), intermediate risk (7.5-19.9%) is about 25.09% (71), high risk (>20%) is about 13.07% (37). Conclusion: In this study burden of CVD risk was relatively low, which was estimated by both the Framingham scale and ASCVD Risk estimator. Risk scoring of individuals helps us to identify the patients at high risk of CV diseases and also helps in providing management strategies.

Assessment of ground water quality in Mukkam, Chepalakancheru and Dallipeta: Coastal Villages of Vizianagaram District of Andhra Pradesh.

The present work was under taken to analyze the various water quality parameters, viz. pH, electrical conductivity, total dissolved solids, total alkalinity, total hardness, chloride, calcium, magnesium, sodium, potassium and to assess the water quality in bore well and well water samples of three coastal villages Mukkam, Chepalakancheru and Dallipeta of Vizianagaram district of Andhra Pradesh. From each of the village, different sampling stations were identified and by composite sampling methods water samples were collected and analyzed for the various parameters. The results were compared with the values stipulated by World Health Organization (WHO), and ARE: 10500 for drinking water quality. In the present investigation the authors found that the overall quality of the three villages is poor and not recommended as potable.

Detection and spectrophotometric determination of tinidazole.

A direct spectrophotometric method was developed by the authors for the quantitative determination of tinidazole in a pure form and also in other pharmaceutical formulations. The method was based on the diazotization reaction between nitro group of the drug sample, sulphanilamide and NEDA. In the present method, the reddish-purple colour dye formed, exhibited a maximum absorbance at 540nm. Beer’s law was found to be obeyed in the range of 100-600μgmL-1for tinidazole with detection limits of 0.04μgmL-1. The present method was found to be precise, accurate for the qualitative and quantitative determinations.

Determination of multiclass pesticide residues in mangoes by liquid chromatography –tandem mass spectrometry.

The Development of an analytical method for the determination of 24 multiclass pesticides in mango at the ≤10 ng g-1 level. The method involves extraction of 10 g of homogenized mango samples (2 g of Sodium chloride- +8g of Magnesium sulfate) with 10 mL of Acetonitrile; Clean up by Dispersive solid phase extraction with a combination of primary secondary amine (PSA), graphitized carbon black (GCB) and anhydrous Magnesium sulfate and final estimation by LC-MS/MS with multiple reaction monitoring (MRM) mode. The mean recoveries were in the range 80-120%. The method quantifies over a linear dynamic range of 10-100 μg/kg. The methodology has been proven to be highly efficient and robust and thus the method is suitable for monitoring the Maximum Residue Limits (MRL) compliance of a wide range of pesticides combinations.

Occupational noise in rice mills.

BACKGROUND: A major occupational hazard for the workers in rice mills is the noise during the operation of various machines. A noise survey was conducted in the workrooms of eight renowned rice mills of the north-eastern region of India established during the period between 1980 and 1985. The rice mills were selected on the basis of the outcome of a walk-through noise survey involving several rice mills of the region. A noise survey map of each rice mill was drawn to identify the predominant noise sources and the causes of high noise in the workrooms of the rice mill. The sound-pressure level (SPL) in the workrooms of the rice mill varied from 78 to 92 dBA. The paddy cleaner, rubber roll sheller, compartment separator, rice cleaner, auxiliary sieve shaker and an electric motor without enclosure were found to be the predominant noise sources in the workrooms of the mill. The causes of high noise in the rice mills may be attributed to the use of a long flat belt drive, crank-and-pitman mechanism, absence of an electric motor enclosure, poor machine maintenance and inadequate acoustic design of the workroom of the rice mill. About 26% of the total labourers were found to be exposed to higher levels of noise than 85 dBA. Subjective response indicated that about 26% of the total labourers felt noise interferes in their work and about 49% labourers were of opinion that noise interferes with their conversation. CONTEXT: Noise from machines in the rice mills was found to be the major occupational hazard for the rice mill workers. The predominant noise sources need to be identified and the causes of high noise need to be studied to undertake the appropriate measures to reduce the noise level. AIMS: To identify the predominant noise sources and their distributions in rice mills, to study the causes of high levels of noise in rice mills and to examine the response of the workers towards noise. SETTINGS AND DESIGN: A noise survey was conducted in eight renowned rice mills of the north-eastern region of India. The mills were selected based on a walk-through survey conducted for the identification of rice mills with high noise. A noise survey map of each rice mill was collected by following the guidelines of Canadian Centre for Occupational Health and Safety (CCOHS). The distribution of high noise in rice mills was studied and the causes of high noise were identified. The subjective response to noise in rice mills was assessed by conducting personal interview with all the workers of the rice mills using a structured form. METHODS AND MATERIAL: The guidelines of CCOHS were followed during the noise survey. A sound level meter (SLM; Model-824) was used to record the noise level at each grid point marked at 1 m x 1 m. SPL in weighting scale "A" and the noise spectrum were recorded at each grid point for 30 s and data were stored in SLM. A noise survey map of equivalent SPL was drawn for each rice mill by drawing contour lines on the sketch of the rice mill between the points of equal SPL. The floor area in the rice mill where SPL exceeded 85 dBA was identified from the noise survey map of each rice mill to determine the causes of high levels of noise. In order to study the variation in SPL in the workroom of the rice mill throughout the shift, equivalent SPL was measured at six locations in each rice mill. The subjective response to noise in rice mills was assessed by conducting personal interview with all the workers of the rice mills using a structured form. Demographic information, nature of work, working hours, rest period, experience of working in mill, degree of noise annoyance, activity interference, and psychological and physiological effects of machine noise on the worker were asked during the interview. STATISTICAL ANALYSIS USED: Nil. RESULTS: The noise survey in eight select rice mills of the major paddy-growing regions of India revealed that the workrooms of five rice mills had SPL more than 85 dBA in the locations where workers were engaged for most of the time. The predominant noise sources in the rice mills were paddy cleaner, rubber roll sheller, compartment separator, rice cleaner, sieve shaker and an electric motor without enclosure. The causes of high noise in the rice mills may be due to the use of a long flat belt drive, crank-and-pitman mechanism, absence of an electric motor enclosure, poor machine maintenance and inadequate acoustic design of the workroom in the rice mill. In general, a well-maintained rice mill with each machine being run individually using an electric motor produced less noise than that being run using a single electric motor along with flat belt drives. The normal working period in the rice mill was 48 h/week and it was 56 h/week during the peak season of rice milling. About 26% of the total workers were exposed to noise of more than 85 dBA. Subjective response indicated that about 26% of the total workers felt noise interferes in their work and about 49% workers were of opinion that noise interferes with their conversation. CONCLUSIONS: The workers in the rice mills are exposed to high noise, which will have detrimental effect on their health. Apart from undertaking appropriate noise control measures, preventive maintenance of machines needs to be given due importance in all the rice mills.

Trichobezoars: Case Reports and Review ofLiterature

Bezoars arc masses of foreign material in the gut, which can be of four types: phytobezoars. trichobezoars. lactobezoars and food boluses. Phytobezoars arc the commonest among these. Stomach is the commonest site for bezoar formation. Bezoars can result in obstruction. irritation and damage to the gastric wall and malnutrition. They may present to the clinician with the complaints of pain abdomen, they may migrate into small intestine where they may cause obstruction or perforation, vomiting and malnourishment. Trichobezoars are associated with trichotillomania a disorder characterized by failure to resist impulse to pull out ones hair. In this article we review two cases. first was a case of twenty eight year old female who was diagnosed as a case of gastric trihobezoar and the second case was a thirty year old lady diagnosed as a case of perforation peritonitis due to trichobczoar in jejunum, with one part in the stomach.

Prevalence of diabetes in the young in south India.

Students from nine schools and one college in Madras city, were screened for diabetes by oral glucose tolerance test. The criteria recommended by the World Health Organization was adopted to classify glucose tolerance. Among 3,515 students, between 5 and 19 years of age, participated in this survey, 1982 (56.4%) were males and 1.533 were (43.6%) females. Family history of diabetes was positive in 302 (8.6%) students. There was no overt case of diabetes of any type. Three (0.09%) males had renal glycosuria. It is therefore concluded that insulin-dependent diabetes, non-insulin dependent diabetes or any other type of diabetes in the young is rare in South India.