Arthritis is one of the chronic joint disorders that have affected many lives including middle age and older age group. Arthritis exists in many forms and one among them is Osteoarthritis. Osteoarthritis affects the bigger joints like knee, hip, spine, feet etc. Early detection of Osteoarthritis is most essential if not treated properly may result in deformity. The researchers have become more concerned to detect the disorder in the early stage by merging their medical knowledge with machine vision approach in an appropriate way. The objective of this work is to study various segmentation techniques for the detection of Osteoarthritis in the early stage. The different segmentation technique like Sobel and Prewitt edge segmentation, Otsu's method of segmentation and Texture based segmentation are used to carry out the experimentation. The different statistical features are computed, analyzed and classified. The accuracy rate of 91.16% for Sobel method, 96.80% for Otsu's method, 94.92% for texture method and 97.55% for Prewitt method is obtained. The results are more promising and competitive which are validated by medical experts.
Background: The Metabolic Syndrome (METS) is a specific clustering of cardiovascular risk factors in the same person (abdominal obesity, atherogenic dyslipidemia, elevated Blood Pressure (BP), Insulin Resistance (IR), and a proinflammatory state. A recent review of insulin resistance syndrome revealed a rapid escalation of this syndrome among Indians and the prevalence of predominant component of METS varies from region to region. Hence the present study was undertaken to assess the incidence of Metabolic Syndrome and prognosis of metabolic syndrome among acute myocardial infarction patients.Methods: A longitudinal study was carried among Acute myocardial infarction patients, who were admitted to ICCU of Shri. B. M. Patil Hospital and Research Centre, Bijapur during November 2009 to March 2011. Sample size was calculated using the formula: n=4pq/L2. Sample size required was 92. Descriptive statistics and Inferential statistics were used to analyse the results.Results: The incidence rate of METS among AMI in our study was 48.7%. The complications were more common in METS group compared to those without METS groups. Recovery was better among those without METS group. There was a statistically significant association between complications and status of METS. The past history of DM was more common in METS. Hyperglycemia among the components of METS has strongest association with the outcome of death in patients of AMI.Conclusions: The metabolic syndrome is a highly prevalent condition among the patients with acute myocardial infarction and has detrimental impact on outcome Metabolic syndrome is also associated with a higher risk of severe heart failure and death.
BACKGROUNDMany recent literature reveals a rapid escalation of this metabolic syndrome (METS) specially insulin resistance among Indians and the prevalence of predominant component of METS varies among region. 1 The increased risk of morbidity and mortality associated with the METS makes it essential that there is a clear understanding of the dimensions of this syndrome for the allocation of health care and research resources and for other purposes. 2 Hence, the present study was undertaken to assess the influence of metabolic syndrome on heart failure.
METHODSThis is a prospective hospital-based study carried among patients with acute myocardial infarction during November 2009 to March 2011. Sample size was calculated using the formula n=4pq/L2. Hence 92 patients with acute myocardial infarction were enrolled in this study. Statistical analysis was done using SPSS 20. Results were presented as percentage, mean and standard deviation (SD).
RESULTSThe age of the patients ranged from 21 to 90 years, with a median age of 55 years. Maximum number of cases was in the 51-65 years age group (47.9%). Male cases predominated in both the groups with and without metabolic syndrome (61.4% and 72.2% respectively). ST-elevation myocardial infarction was present in 80.21% of metabolic syndrome patients. Among the components of metabolic syndrome, low HDL cholesterol was the most prevalent component in both the groups. High fasting blood sugar or diabetes (89.5%) was the next most prevalent component in metabolic syndrome cases followed by hypertension or blood.
CONCLUSIONSDevelopment of complications in acute myocardial infarction was around 4 times higher in metabolic syndrome patients compared to cases without metabolic syndrome.
HOW TO CITE THIS ARTICLE:Uppin AM, Badiger RH, Parne S, et al. Assessment of influence of metabolic syndrome on heart failure.
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