Online ISSN: 2515-8260

AGE AS A RISK FACTOR IN PATIENTS WITH DRY SOCKETS : A RETROSPECTIVE STUDY

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1Kethiswar Raj, 2Balakrishna R N

Abstract

Alveolar osteitis which is also known as dry socket, is an inflammation of the alveolar bone. Usually, this occurs after a postoperative complication of tooth extraction.Alveolar osteitis can occur where the blood clot fails to form or is lost from the socket and this leaves the empty socket where bone is exposed to the oral cavity, causing a localized alveolar osteitis limited to the lamina dura . This most specific type is known as dry socket and is associated with increased pain and delayed healing time.The aim of the study is to compare the prevalence of dry socket and age as a risk factor in patients who visited Saveetha Dental College.The objective was to find the base in Saveetha Dental college by the data collected for the theoretical framework for research proposal.In materials and methods , there are certain requirements that were necessary such as case control study for a better understanding , patients details who visited saveetha dental college for a background check , data obtained from the outpatient record was to ensure that the data can be supported , followed by analytics of dry socket patients to know the total number of patients involved ,the sample size obtained and the tabulation of data was done in excel sheet and finally a satisfied analysis is done with the proper data.The majority of patients that are with dry socket were around the age range from 28 years to 47 years and is more common in females than in males and majority of them are non-smokers.Even in the gender prevalence , the total number of females are more than males by numbers and it is obtained with the confirmed data.The mean age group from the age range of 28 years to 47 years is the age group 50 years and the positive statistically significant correlation between the age and dry sockets.The type of test used in this study is this chi square test and the P value of the test is <0.05 which is significant.We can observe the graph showing distributions such as age where the age group from 28 years to 47 years has a total value of (9 with 53.1%) and we also can conclude that the age group from 55 years to 74 years have a total value of 46.9%.In gender we can tell from the graph that the male group has a total value of (8 with 47.1%) and that the female group has a total value of (52.9%).From smoking we can conclude that a total of (76.5%) of the obtained patients are non-smokers and a total of (23.5%) of the obtained patients are smokers

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