Online ISSN: 2515-8260

Keywords : south Indian population


A Study of orbital index in south Indian west population

Dr. Mubeena Shaikh

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 4, Pages 2906-2909

Background:Orbital Index is one of the most commonly studied and one of the easiest ways
to find the race of the individual. India being a country where diversity is seen at every step
this study puts in an effort to find if there are any and also this study along with some other
studies in this region tries to put a baseline measurement for this population.
Aims and Objectives: To study the orbital index in south west population
Materials and Methods: 300 dry skulls were used to study the same.
Results:There is a slight variation in the right when compared to the left but statistically
insignificant.
Conclusion:This study forms the base on which future studies can be made and compared.

Cephalometric evaluation of young South Indian adults using Tweed’s analysis

Dr. Evan. A. Clement (M.D.S); Dr. Veerasankar S (M.D.S); Dr. Janagarathinam; Dr. Dharmisha A (B.D.S); Dr. Anitha A

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 6862-6869

The aim of the present study was to establish the Tweed’s parameters for South Indian
population. A study of 70 South Indian young adults (35 males and 35 females) within age range
of 18-28 years with acceptable profile and occlusion were selected for the study and assessed using
Tweed’s analysis. The three angular parameters of Tweed’s analysis, Frankfort Mandibular plane
angle (FMA), Frankfort Mandibular Incisal Angle (FMIA) and Incisor Mandibular plane angle
(IMPA) for the South Indian population was measured and found to be 23.1, 57.1 and 99.8 degree
respectively.
Significant difference was seen among young adult South Indian population and Caucasian
values of Tweeds diagnostic triangle. There was a difference in between the mean values of FMA
and FMIA among male and female South Indian population and the IMPA did not show any
difference.

RETROSPECTIVE STUDY ON BROAD SPECTRUM ANTIBIOTICS USED FOR DIABETIC AND NON DIABETICS PATIENTS

Amina Mehrin Bano; Dr.Hemavathy O.R; Sri Rengalakshmi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 955-962

Orofacial infections of odontogenic origin have long plagued mankind. The discovery of the miracle drug
by fleming in the year 1928 and the routine use of penicillin after the landmark discovery of the powder
form of the antibiotic by florey and chain leading to significant change in the management of odontogenic
infection .The spread of infection is governed by factors such as impaired host defence, the virulence of
microorganism, functional abnormalities of the host and a lack of or delayed treatment. the microbiology
of odontogenic infections in diabetic and non-diabetic individuals has been found to be variable. Though
the effects of diabetes can affect infection severity , length of hospital stay, susceptibility to antibiotics
and outcome of treatment is unassured . Differentiation in antibiotics prescribed is also observed.The aim
of the study was to analyse the prevalence of the use of antibiotics among diabetic and non-diabetic
patients in a south indian dental university clinic . The list of all diabetics and non diabetics patients
treated for pain, dental infections , swelling were retrieved by reviewing 86000 patient records who have
visited the hospital during the study periods from june 2019 to march 2020 from the university
database.Data tabulation was carried out in Excel. The data was imported and transcribed in Statistical
Package for Social sciences version 16(SPSS,IBM corporation). Descriptive analysis was carried out.A
total of 9128 patients were included in the study based on treatment done of which 580 patients(6.3%) had
diabetes mellitus. Only 3.5 % of the male population and 2.8% of the female population has
diabetes.Amoxicillin 93.2% was found to be the most frequently prescribed antibiotics among nondiabetic
patients and diabetics patients 1.6% .A combination of metronidazole and amoxicillin was
prescribed to 0.5% of the whole study population .A combination clavulanic acid and
amoxicillin(augmentin )was prescribed to 4 % of the total diabetic study population and 0.4% of the nondiabetic
study population that is about.The relation between the diabetic status of a patient and the
antibiotic prescribed showed a significant statistical relationship in a Pearson's Chi square test with p value
of 0.001(p<0.005).The prescribing practises in dental offices can be improved by increasing awareness
among dental practitioners about the recommended guidelines for prescribing antibiotics . The most
commonly prescribed antibiotics among diabetic patients was Augmentin (4.08%) and for non diabetics it
was amoxicillin (93.25%). .

OCCURENCE OF NUMBER OF CANALS IN MANDIBULAR SECOND PREMOLARS IN SOUTH INDIAN POPULATION - A RETROSPECTIVE STUDY

K.Ajith Kamath; Surendar Sugumaran; S Haripriya .

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 2082-2087

Mandibular second premolars are one of the most complex among detention in humans. They often present with several patterns of complexities. It also varies based on age, sex, race etc. In the present study by a retrospective manner, we have assessed the occurrence of number of canals in mandibular second premolars in South Indian Population. Case records of 86,000 patients availing treatment at Saveetha Dental College between June 2019 and March 2020 were analysed, and the required data was extracted. 550 teeth were chosen for the study. Statistical analysis of the extracted data was done using SPSS software (SPSS Version 23.0, SPSS, Chicago, IL, USA) Graphs were derived. Correlations were made based on gender of the patients and type of tooth.Within the limits of the study the occurrence of more than one canal was more prevalent in females(11%) as compared to males(9%) in the south indian population.(P<0.05). Also the occurrence of a single canal was more prevalent in 45(44%) as compared to 35(40%)(P>0.05). More correlations can be studied by doing similar studies in larger populations and studies can be done based on geographical location and races