Acute suppurative parotitis is a rare entity in neonates. Bilateral involvement is extremely rare. Low birth weight, prematurity, gavage feeding, dehydration, sepsis are all known risk factors. Staphylococcus aureus is the most common organism, other organisms responsible for parotitis are streptococcus, E. coli, pseudomonas and klebsiella. We report a neonate suffering from bilateral acute suppurative parotitis with an unusual causative association. CPAP and its association for acute suppurative parotitis has been proposed.
Diabetes, a fifth leading disease in terms of causing death, is a complex syndrome, characterized by the altered metabolism of proteins, fats, and carbohydrates result in the raising of blood glucose level to more than 180 mg/dl cause a condition called Hyperglycemia. Many shreds of evidence are suggesting the positive relationship between diabetes and cancer means diabetic patients are more prone to cancer. Risk factors associated with type 2 diabetes and cancer share some common pathophysiologies as well as treatments and thus type-2 diabetes mellitus may be a predisposing factor for Cancer. The work proposes a generalized mathematical model whose numerical solution depicts the risk of cancer to the one having type-2 diabetes mellitus. In type-2 diabetes, the body neglects to react to the insulin produced by the body itself. A system of differential conditions is utilized for depicting these changes. This model incorporates the concentration of glucose, insulin and cancer growth cells. Taking everything into account, the possibility of having cancer is more in the individuals having longstanding type-2 diabetes than those who do not have diabetes. In the work, we propose a numerical model for the risk of disease to a patient having type 2 diabetes mellitus for quite a while.
Aim:Due to the chronic nature of diabetes mellitus and its dangerous effects on people, it is moving towards epidemic proportions. We proposed this work for evaluating the predictive measure of diabetic population of India, Pakistan and world. In this work diabetic people of age 20-79 years are considered as this age group is suffering more by this disease. The aim of this study is to estimate the prevalence of diabetes in these two nations covering all the regions of the country. Materials and Methods: Mathematical analysis has been done for showing the rapid prevalence of diabetic population of age more that 20 years and less than 79 years. Karl Pearson’s coefficient of Correlation is calculated to find the relativity of prevalence of diabetic people of this age group of both the countries. Regression equations are evaluated to find the various predictive factors for the diabetic populations of countries. Results: The study represented the value of the coefficient of correlation between the diabetic population of India and Pakistan is 0.89, between India and world is 0.77 and between Pakistan and world is 0.98. All these values are positive. Conclusion: The Pearson correlation coefficient test showed that there is a positive and strong correlation between diabetic population (20-79 years age) in both the countries as well as in world. From Regression equation future prediction of increasing number of diabetic patients can be made.
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