Printt ISSN: 2249 44995 eeISSN: 2277 88810 OOnline SSubmisssion wwww.njmrr.in NAA TIIONNALL JJOUURNNALL OOF MMEDDICCALL REESEEARRCCH Volumme 5 │ Isssue 4 │ OOct – Decc 2015 │ PPa ge: 2688 - 333 print ISSN: 2249 4995│eISSN: 2277 8810 NATIONAL JOURNAL OF MEDICAL RESEARCH Official Publication of National Association of Medical Research Print ISSN: 2249 4995 Online ISSN: 2277 8810 EDITORIAL BOARD Chief Editor Dr. Viren Patel MD (Pathology), USA Associate Editor Dr. Sunil Nayak MD (Community Medicine), Patan, Gujarat Executive Editor Associate Executive Editor Dr. Harsh Shah, MD (Skin & VD) Mr. Bhaumik M Members Dr. Chirag Mehta MS (ENT), Palanpur Dr. Mehul Gosai, MD (Pediatric), Bhavanagar Dr. Deepak Agrawal, MD (Pathology), Agra Dr. N K Gupta, MS, MCh (CTVS), PGDHHM, Lucknow Dr. Deepak Parchivani PhD (Biochem), Bhuj Dr. Praful J. Dudharecha MD (Medicine), Rajkot Dr. Deepak Shukla MD (Medicine), Surat Dr. Rajesh Solanki, MD (TB & Chest), Ahmedabad Dr. H. R. Jadhav, MS (Anatomy), Ahmedabad Dr. Gunvant Kadikar MD (Ob. & Gy.), Bhavnagar Dr. Hitendra Desai MS (Surgery), Ahmedabad Dr. Indira Parmar, MD (Pediatric), Vadodara Dr. Kaushik Kadia MS (Surgery), Patan Dr. Rudresh Jarecha, DMRE, DNB (Radio.), Hydrabad Dr. Uma Gupta, MD (Ob. & Gy.), Lucknow Dr. Suprakash Chaudhury, MD (Psychi.), PHD, Ranchi Dr. Shalini Srivastav MD (PSM), Greater Noida Dr. Vani Sharma, MD (Ob. & Gy.), Himachal Pradesh Dr. K. M. Maheriya MD (Pediatrics), Ahmedabad Dr. Gurudas Khilani, MD (Med & Pharmac), Patan All the views expressed in the articles are personal views of the authors and not the official views of the National Journal of Medical Research or the Association. The Journal retains the copyrights of all material published in the issue. However, reproduction of the published material in part or total in any form is permissible with due acknowledgement of the source as per ethical norms. The journal is indexed in Scopemed, DOAJ, WHO HINARI, IndexScholar, IndMedica, NewJour, Index Copernicus International, eJManager, Medical Journal Links, Research Bible, Universal Impact Factor, etc. m o CORRESPONDENCE c n l. Mr. Bhaumik M., Associate Executive Editor, NJMR iai r.m Email: [email protected], Mob: 8140975850 mg j@ n PUBLISHER R . wM MedSci Publications wJ National Journal of Medical Research (Reg. No. 24-022-21-48410) wN C-43, Umiya Bunglows, r o Bhadreshwar, Hansol, Ahmedabad – 382475. it d e NATIONAL JOURNAL OF MEDICAL RESEARCH │ Volume 5│Issue 4│Oct – Dec 2015 Open Access Journal NATIONAL JOURNAL OF MEDICAL RESEARCH NATIONAL JOURNAL OF MEDICAL RESEARCH Volume 5│Issue 4│Pages 268 – 333 │Oct - Dec 2015 Table of Content Original Article Inducible Clindamycin Resistance among Clinical Isolates of Staphylococcus Aureus Hetal Sida, Bimal Chauhan, Jayshri Pethani, Lata Patel, Parul Shah .............................................................268 - 271 Drug Utilization Pattern in Oral Medicine Department of Saveetha Dental College, Tamil Nadu, India Pratiti Datta, Pratyay Pratim Datta ....................................................................................................................272 - 274 Immunohistochemical Profile of Breast Carcinomas In Correlation With Histological Grade- Experience of A Tertiary Care Hospital In Andhra Pradesh Aparna Chinnam, Swetha Naidu, Himabindu Gurram, Padmavathi Devi Chaganti ..................................275 - 277 Prevalence of Dermatophytes in Skin, Hair And Nail at Tertiary Care Hospital at Ahmdeabad Komal D. Patel, Jaysukh D. Mangukiya, Mahendra M .Vegad ......................................................................278 - 281 Study of Seminal Acid Phosphatase and Alkaline Phosphatase Level In Relation to Sperm Count in Teaching Hospital Nayak Jitendra, Patel Piyush, Patel Sangeeta, Chavda Bipin ..........................................................................282 - 285 Completeness of Institutional Ethics Application Forms Submitted to theEthics Committee in A Rural Tertiary Teaching Hospital Asha Dattatraye Jadhav, Sushma S. Jadhav, Sudhir L. Padwal, Swapnil S. Jadhav, Rushikesh P. Deshpande ............................................................................................................................................................286 - 289 Role of Social Interaction on Quality of Life Debalina Datta, Pratyay Pratim Datta, Kunal Kanti Majumdar ....................................................................290 - 292 A Study of Prevalence of Various Ophthalmic Problems in Policemen and Their Family Members of Vadodara, Gujarat Jyotindra Natwarlal Brahmbhatt, Dipak B. Patel, Sheril Shah, Ruta Shah, Poonam Rana, Aakash Patel .........................................................................................................................................................293 - 295 Cytodiagnosis of Metastatic Cervical Lymphadenopathy in A Tertiary Care Centre in North-East India - A One Year Study Sanjay Nath, Nabaneet Majumder, Samarpita Nama, Ramit Chakraborty, Ganes Chandra Hati, Habibul Islam .......................................................................................................................................................296 - 299 A Study Profile of Lung Abscess Patient Coming to Tertiary Care Center Ahmedabad Anil Gupta, Nilesh Dutt .....................................................................................................................................300 - 304 Role of Chest Xray In Assessing the Severity In H1N1 Influenza Cases Viral D. Panchal, Purvi Desai, Mahesh. K. Vadel ...........................................................................................305 - 308 X-Ray and MRI Correlation of Bone Tumours Mitesh D. Ghadiali, Mahesh. K. Vadel, Purvi Desai, Bhagwati V. Ukani, Yash N. Jardosh .....................309 - 311 A Comparative Study between Intramuscular Midazolam and Oral Clonidine As A Premedication For General Anesthesia Jignasa J Patel, Kalpana A Desai ........................................................................................................................312 - 315 Volume 5│Issue 4│ Oct – Dec 2015 print ISSN: 2249 4995│eISSN: 2277 8810 Open Access Journal NATIONAL JOURNAL OF MEDICAL RESEARCH Sonomammographic Evaluation & Characterization of Breast Lumps Umesh Shah, Mukesh Kothari ...........................................................................................................................316 - 318 Intussusception in Children: Comparison Between Ultrasound Diagnosis and Operation Findings Umesh Shah, Mukesh Kothari ...........................................................................................................................319 - 322 Case Report Case Report of Atypical presentation of SSPE with ADEM Nirali J Mehta, Binita M Surti, Deepak B Gamit .............................................................................................323 - 324 Tracheobronchomegaly: A Rare Cause of Bilateral Bronchiectasis Babaji Ghewade, Saood Ali, Swapnil Chaudhari, Smaran Cladius ................................................................325 - 328 Bilateral Pleural Effusion After Central Venous Catheterization-A Rare Complication Reyaz Ahmed Para, Aabid Hussain Mir, Amit Kumar, Zaka Sameen, Toufeeq Ahmad Mir ...................329 - 331 A Rare Case of Fibrothecoma of Ovary Sunil Somnath Patil, Ruchi Nityanand Thakur, Pradip Wamanrao Sambarey, Ashwini Ashish Kale ......332 - 333 Volume 5│Issue 4│ Oct – Dec 2015 print ISSN: 2249 4995│eISSN: 2277 8810 NATIONAL JOURNAL OF MEDICAL RESEARCH print ISSN: 2249 4995│eISSN: 2277 8810 ORIGINAL ARTICLE INDUCIBLE CLINDAMYCIN RESISTANCE AMONG CLINICAL ISOLATES OF STAPHYLOCOCCUS AUREUS Hetal Sida1, Bimal Chauhan2, Jayshri Pethani3, Lata Patel4, Parul Shah5 Author’s Affiliations: 1Resident; 2Assi. Professor; 3Asso Professor; 4Tutor; 5Professorl and Head, Dept. of Micro- biology, Smt NHL Municipal Medical College, Ahmedabad, Gujarat Correspondence: Dr Hetal Sida Email: [email protected] ABSTRACT Introduction: The resistance to antimicrobial agents among staphylococci is an increasing problem. This has led to renewed interest in the usage of macrolide- lincosamide- streptogramin B (MLSB) antibiotics to treat Staphylococcus aureus infections. Clinical failure has been reported due to multiple mechanisms that confer resistance to MLSB antibiotics. Aims: The present study was aimed to detect inducible clindamycin resistance among S. aureus isolates and to study the relationship between clindamycin and methicillin resistance. Materials and Methods: During a period of 6 months, a total 297 S. aureus isolates from various clinical specimens were included in the study. Antimicrobial susceptibility test was done by Kirby-Bauer’s disc diffusion method as per Clinical and Laboratory Standards Institute (CLSI) guidelines. For detection of inducible clindamycin resistance, D test using erythromycin and clindamycin as per CLSI guidelines was performed, and three different phenotypes were interpreted as MS phenotype (D test negative), inducible MLSB (iMLSB) phenotype (D test positive), and constitutive MLSB phenotype. Results: Of the total 297 S. aureus isolates, majority were obtained from pus 35% (104), from swab 52% (153) followed by blood, tissue samples and body fluids 13% (40). Out of 297, 71% (211) were erythro- mycin resistant. Out of the total 297 isolates, 30.30% (90) were methicillin-resistant S. aureus (MRSA) and 69.69% (207) were methicillin-sensitive S. aureus (MSSA). MLSB phenotype in 13.46%, MS phenotype in 32.65%, and constitutive MLSB phenotype was observed in 24.91% of isolates. Inducible clindamycin resistance was more among MRSA than MSSA isolates. Conclusion: D test should be included as a mandatory method in routine disc diffusion testing to detect inducible clindamycin resistance in staphylococci for the optimum treatment of patients. Key words: Clindamycin, Erythromycin, methicillin-resistant S. aureus, methicillin-sensitive S. aureus INTRODUCTION cosamide- streptogramin B (MLSB) antibiotics to treat S. aureus infections with, clindamycin being Methicillin-resistant Staphylococcus aureus (MRSA) the preferred agent due to its excellent pharmaco- are increasingly being reported as multidrug re- kinetic properties.4,5 MLSB antibiotics are structur- sistant with high resistance to macrolides (eryth- ally unrelated; however, they are related microbio- romycin, clarithromycin) and lincosamides logically because of their similar mode of action. (clindamycin, lincomycin), leaving very few thera- They inhibit bacterial protein synthesis by binding peutic options .1 Newer antibiotics like vancomy- to 23s rRNA, which is a part of large ribosomal cin,linezolid, and quinupristin-dalfopristin have subunit. They have a spectrum of activity directed been advocated in the management of such iso- against gram-positive cocci, gramnegative cocci lates, but recent reports of resistance to these and intracellular bacteria such as chlamydiae and agents raise real concerns over how long these uni- rickettsiae.6 For years, macrolides have been used form susceptibilities will hold good.1-3 This has led as an alternative to penicillin and cephalosporins in to renewed interest in the usage of macrolide- lin- the treatment of infections caused by gram positive NJMR│Volume 5│Issue 4│Oct – Dec 2015 Page 268 NATIONAL JOURNAL OF MEDICAL RESEARCH print ISSN: 2249 4995│eISSN: 2277 8810 bacteria, but the worldwide development of mac- tion at 37°C, three different phenotypes were ap- rolide resistance has now limited the use of these preciated and interpreted as follows: antibiotics. Macrolide resistance is by diverse 1. MS phenotype: S. aureus isolates exhibiting re- mechanisms. The resistance to macrolide can be sistance to erythromycin (zone size ≤13 mm), mediated by msr(A) gene coding for efflux mecha- while sensitive to clindamycin (zone size ≥21 mm) nism or via erm gene encoding for enzymes that and giving circular zone of inhibition around confer inducible or constitutive resistance to clindamycin (D test negative). MLSB antibiotics. In constitutive resistance, r- RNA methylase is always produced (cMLSB); 2. Inducible MLSB phenotype: iMLSB S. aureus where as in inducible, methylase is produced only isolates which showed resistance to erythromycin in the presence of an inducing agent (iMLSB).7 (zone size ≤13 mm) while being sensitive to Erythromycin is an effective inducer whereas clindamycin (zone size ≥21 mm) and giving D clindamycin is a weak inducer. In vitro, S. aureus shaped zone of inhibition around clindamycin with isolates with constitutive resistance are resistant to flattening towards erythromycin disc (D test posi- both erythromycin and clindamycin whereas those tive). with inducible resistance are resistant to erythro- 3. Constitutive MLSB phenotype: cMLSB S. aureus mycin and appear sensitive to clindamycin (iM- isolates which showed resistance to both erythro- LSB).8 The treatment of patients harboring iMLSB mycin (zone size ≤13 mm) and clindamycin (zone staphylococci with clindamycin leads to the devel- size ≤14 mm) with circular shape zone of inhibi- opment of constitutive resistance, subsequently tion around clindamycin. leading to therapeutic failure 9 The present study was aimed to detect inducible clindamycin re- sistance among S. aureus isolates and to study the RESULTS relationship between clindamycin and methicillin resistance. Of the 297 S. aureus isolates, majority was obtained from swabs 52% (153), pus 35% (104) followed by tissue, blood and body fluids 13% (40). All the S. MATERIALS AND METHODS aureus isolates were sensitive to vancomycin, and linezolid. The present study was a prospective study con- ducted during a period of 6 months from 1st Janu- ary 2015 to 30th June 2015, on the patients admit- Table 1: General profile of patients included in ted in Vadilal Sarabhai General Hospital, Ahmeda- study (Total -297) bad. A total of 297 S. aureus isolates from various Details Number (%) clinical specimens like pus, wound swab, aspirates, Male 184(61.95) blood, body fluids, tissue, etc. were included in the Female 103(34.68) study.General profile of patients is given in table- Samples from various departments 1.S. aureus isolates were identified by standard bio- Surgery dept. 146(49.15) chemical techniques.10 Antimicrobial susceptibility Obs-gynec.dept. 42(14.14) testing was done by Kirby-Bauer’s disc diffusion method using various antimicrobial agents like Orthopedic dept. 29(9.76) penicillin G (10Units), cefoxitin (30 mcg), gen- Medicine dept. 17(5.72) tamycin (10 mcg), chloramphenicol(30 mcg), tetra- OPD 63(21.21) cycline (30 mcg), erythromycin (15 mcg),cotrimoxazole (25mcg), ciprofloxacin (5 Out of total 297 isolates, 71%(211) S. aureus iso- mcg), vancomycin(30 mcg), linezolid (30 mcg) as lates were resistant to erythromycin, 30.30% (90) per CLSI guidelines.11 For quality control (QC), S. were MRSA and 69.69% (207) were MSSA [Table aureus ATCC 25923 was used. For detection of 2]. Among the 297 isolates, D test was positive in methcillin resistance, 30 mcg of cefoxitin disc was 13.46% (40) (inducible MLSB Phenotype) and placed and plates were incubated at 35°C for 24 h. negative in 32.65% (97) isolates (MS phenotype). Isolates with zone diameters ≤22 mm were labeled Constitutive MLSB phenotype was seen in 24.91% as methicillin resistant.l1 For detection of inducible (74) isolates. Percentage of inducible phenotype clindamycin resistance, a disk approximation test resistance was more among the methicillin resistant was performed by placing a 2 mcg clindamycin than methicillin susceptible S. aureus isolates. disc from 21 mm away from the edge of a 15 mcg erythromycin disc.11 Following overnight incuba- NJMR│Volume 5│Issue 4│Oct – Dec 2015 Page 269 NATIONAL JOURNAL OF MEDICAL RESEARCH print ISSN: 2249 4995│eISSN: 2277 8810 Table 2: Association of Clindamycin resistance with Methicillin resistance Variable MRSA (%) MSSA (%) Total (%) ERY-S,CL-S 11(3.70 ) 75(25.25) 86(28.95) ERY-R,CL-S D-test negative( MS phenotype 22(7.40) 75(25.25) 97(32.65) ERY-R,CL-S D-test positive( Inducible MLSB phenotype) 24 (8.08) 16(5.38) 40(13.46) ERY-R,CL-R (Constitutive MLSB phenotype) 33(11.11) 41(13.80) 74(24.91) Table 3: Comparision with other studies Variable Present Mallikajurna Prabhu Kanwal Nilima study et al18 et al16 et al17 et al15 Erythromycin resistance 71% 70.1% 28.4% 50.1% 30% Inducible clindamycin resistance 13.46% 32.40% 10.5% 13.1% 42% Inducible clindamycin resistance in MRSA 8.08% 17.59% 20% 33.2% 28.91% Inducible clindamycin resistance in MSSA 5.38% 14.81% 6% 34.6% 3.16% Constitutive MLSB resistance 24.91% 2.77% 9.47% 21.9% 11.85% MS phenotype 32.65% 35.81% 8.1% 44.8% 45% DISCUSSION Clindamycin is used in the treatment of skin and CONCLUSION soft-tissue infections, caused by staphylococcal Reporting S. aureus as susceptible to clindamycin species. Good oral absorption makes this drug an without checking for inducible resistance may re- important option in outpatient therapy or as afol- sult in institution of inappropriate clindamycin low-up after intravenous therapy. Clindamycin therapy. On the other hand, negative result for strain carrying inducible erm gene using clindamy- inducible clindamycin resistance confirms cin or any non-inducer macrolide can lead to clini- clindamycin susceptibility and provides a very cal failure.8,9,14 Constitutive mutants can be selected good therapeutic option.Use of D test in a routine in vitro in the presence of clindamycin or any other laboratory enables us in guiding the clinicians in non-inducer macrolide as they are widespread judicious use of clindamycin, as clindamycin is not among methicillin-resistant strains.7 In vitro routine a suitable drug for D test positive isolates; while it tests for clindamycin susceptibility may fail to de- can definitely prove to be a drug of choice in case tect inducible clindamycin resistance due to erm of D test negative isolates. genes resulting in treatment failure, thus necessitat- ing the need to detect such resistance by a simple D test on a routine basis. REFERENCES Among the 297 S. aureus isolates studied, 71% iso- 1. Srinivasan A, Dick JD, Perl TM. Vancomycin resistance in lates were erythromycin resistant, which is in con- staphylococci. Clin Microbiol Rev 2002;15:430-8. cordance with study by Mallikajurna et al 70.1% 18 2. Johnson AP, Woodford N. Glycopeptide-resistant Staphy- and Kanwal et al 50.1%17. inducible clindamycin lococcus aureus. J Atimicrob Chemother 2002;50:621-3. resistance was observed in 13.46% isolates which 3. Eliopoulos GM. Quinupristin-dalfopristin and linezolid: was in concordance with study by prabhu k et Evidence and opinion. Clin Infect Dis 2003;36:473-81. al.10.5%16 and Kanwal et al 13.1%17. 4. Delialioglu N, Aslan G, Ozturk C, Baki V, Sen S, The percentage of inducible resistance was higher Emekdas G. Inducible clindamycin resistance in staphylo- among methicillin resistant (8.08%) than methicil- cocci isolated . from clinical samples. Jpn J Infect Dis lin susceptible (5.38%) S. aureus isolates, which cor- 2005;58:104-6. relates with other studies 15,17,18,16 suggesting higher 5. Deotale V, Mendiratta DK, Raut U, Narang P. Inducible rate of inducible resistance in MRSA than MSSA. clindamycin resistance in Staphylococcus aureus isolated from clinical samples. Indian J Med Microbiol 2010;28:124-6. Constitutive (24.91%) and MS phenotype (32.65%) clindamycin resistance which correlates with study 6. Ciraj AM, Vinod P, Sreejith G, Rajani K. Inducible by Kanwal et al 21.9% and 44.8% respectively and clindamycin resistance among clinical isolates of staphylo- cocci. Indian J Pathol Microbiol 2009;52:49-51. study by Nilima et al. 11.81% and 45% respective- ly. This suggests variation in clindamycin resistance 7. Leclercq R. Mechanisms of resistance to macrolides and pattern and its relation with MRSA and MSSA in lincosamides: Nature of the resistance elements and their clinical implications. Clin Infect Dis 2002;34:482-92 various geographical areas. [Table-3] NJMR│Volume 5│Issue 4│Oct – Dec 2015 Page 270 NATIONAL JOURNAL OF MEDICAL RESEARCH print ISSN: 2249 4995│eISSN: 2277 8810 8. Drinkovic D, Fuller ER, Shore KP, Holland DJ, Ellis- resistance to clindamycin, lincomycin and erythromycin. Pegler R. Clindamycin treatment of Staphylococcus aureus ex- AmJ Med 1976;60:419-25. pressinginducible clindamycin resistance. J Antimicrob 15. Nilima R. Patil, Ulhas S. Mali, Sunanda A. Kulkarni, M. V. Chemother 2001;48:315-6. Ghorpade, Poorva P. Bhave (Sule). IJCRR. 2013; 5(1): 44-48 9. Siberry GK, Tekle T, Carroll K, Dick J. Failure of 16. Prabhu K, Rao S, Rao V. Inducible clindamycin resistance clindamycin treatment of methicillin-resistant Staphylococcus in Staphylococcus aureus isolated from clinical samples. J aureusexpressing inducible clindamycin resistance in vitro. LabPhysicians 2011;3:25-7 Clin Infect Dis 2003;37:1257-60. 17. Kanwal Deep Singh Lyall, Veenu Gupta, Deepinder 10. Mackie and McCartney, Practical Medical Microbiology, Chhina, Inducible clindamycin resistance among clinical Colle JG, Fraser AG, Marmion BP, Simmmons A, editors isolates of Staphylococcus aureus Journal of Mahatma Amsterdam: Elsevier; , 14th ed. 2006. Gandhi Institute of Medical SciencesSeptember 2013 | 11. Clinical and Laboratory Standards Institute, Performance Vol 18| Issue 2 Standards for Antimicrobial Susceptibility Testing;. Twen- 18. Mallikarjuna Reddy,C*Hima Bindu M, Maity ty-fifth Informational Supplement Wayne, PA 2015 Soumendranath, Kanta R.Cand Kapur Indu 12. Fiebelkorn KR, Crawford SA, McElmeel ML, Jorgensen Int.J.Curr.Microbiol.App.Sci(2014)3(3): 402-40 JH. Practical disk diffusion method for detection of induc- 19. Levin TP, Suh B, Axelrod P, Truant AL, Fekete T. Poten- ible clindamycin resistance in Staphylococcus aureus and co- tial clindamycin resistance in clindamycin-susceptible, agulasenegative staphylococci. J Clin Microbiol erythromycin-resistant Staphylococcus aureus: Report of a 2003;41:4740-4. clinical failure. Antimicrob Agents Chemother 13. Weisblum B, Demohn V. Erythromycin inducible re- 2005;49:1222-4. sistance in Staphylococcus aureus. Survey of antibiotic classes 20. Perez LR, Caierao J, Antunes AL, d’Azevedo PA. Use of involved.J Bacteriol 1969;98:447-52. D test method to detect inducible clindamycin resistance 14. Watanakunakorn C. Clindamycin therapy of Staphylococcus in coagulase negative staphylococci (CoNS). Braz J Infect aureus endocarditis. Clinical relapse and development of Dis 2007;11:186-8. NJMR│Volume 5│Issue 4│Oct – Dec 2015 Page 271 NATIONAL JOURNAL OF MEDICAL RESEARCH print ISSN: 2249 4995│eISSN: 2277 8810 ORIGINAL ARTICLE DRUG UTILIZATION PATTERN IN ORAL MEDICINE DEPARTMENT OF SAVEETHA DENTAL COLLEGE, TAMIL NADU, INDIA Pratiti Datta1, Pratyay Pratim Datta2 Author’s Affiliations: 1BDS Student, Saveetha Dental College; 2Assistant Professor, Pharmacology, Gouri Devi Medical College, Durgapur, West Bengal, India Correspondence: Dr Pratyay Datta Email: [email protected] ABSTRACT Introduction: Drug utilization study helps to understand the pattern of drug use in different set up. Very limited numbers of drug utilization pattern studies have been conducted in dental colleges in India. The present study was done to find out the drug utilization pattern of the oral medicine department of a den- tal college in India. Methodology: The study was conducted among the out patients in the oral medicine department of Saveetha Dental College of South India from May to June, 2014. The different drugs prescribed, average number of drugs per prescription, percentage of prescription having injectable drugs, percentage of pre- scriptions having antibiotics prescribed, percentage of prescriptions having analgesic prescribed, percent- age of drugs prescribed from generic name were analyzed in SPSS (version 16.0). Results and Discussion: Total 278 drugs were prescribed for 300 prescriptions having 0.93 average numbers of drugs per prescription. Only 10.97% drugs were prescribed in generic name. 42% prescrip- tions had antibiotics and 21.67% prescriptions had analgesics. Main antibiotics prescribed were metroni- dazole, amoxicillin, azithromycin. Main analgesics prescribed are diclofenac, paracetamol and aceclofenac. Further study in larger sample size is required to have an overall idea about the pattern of prescription of the drugs by the dentists. Beside dentists should be motivated to prescribe drugs by generic name as well as they should be trained in rational use of medicine. Key words: Drug utilization, oral medicine, antibiotics, analgesics INTRODUCTION especially the teeth, and to an extent related condi- tions in the maxillofacial (jaws and face) area.2 Drug utilization research was defined by World Health Organization in 1977 as “the marketing, Dentists are modern medicine practitioners. But, distribution, prescription and use of drugs in a so- very limited studies have been conducted on the ciety, with special emphasis on the resulting medi- drug utilization pattern by dentists. In this back- cal, social and economic consequences”. Drug uti- ground the present study was undertaken to study lization studies aims to evaluate factors related to the drug utilization pattern of the oral medicine the prescribing, dispensing, administering and tak- department of a dental college in India. ing of medication, and its associated events.1 Drug utilization study helps to understand the pattern of use of drugs in different set up after the drug is MATERIALS AND METHODS approved by the proper regulating authority. It is Study area: The study was conducted in Saveetha very closely related to the pharmacoeconomic im- Dental College and Hospital, Chennai, India. pact on the society as a whole. Dentistry is the study, diagnosis, prevention, and treatment of dis- Study period: The study was done from May, 2014 eases, disorders and conditions of the oral cavity, to June, 2014. NJMR│Volume 5│Issue 4│Oct – Dec 2015 Page 272 NATIONAL JOURNAL OF MEDICAL RESEARCH print ISSN: 2249 4995│eISSN: 2277 8810 Study population: The patients attending outdoor RESULTS of oral medicine Department, Saveetha Dental Table 1 shows the drug utilization parameters of College were included in the study population. The the study population. Total 300 prescriptions were prescriptions were analyzed. Total 300 patients checked. Total number of drugs prescribed was were included in the study. 278; so average number of drugs per prescription Inclusion and exclusion criteria: The prescriptions was 0.93. 42% prescriptions had antibiotics pre- were taken only for those patients whose treatment scribed. 21.67% prescriptions had analgesic pre- was done in oral medicine department without scribed. 0.67% prescriptions had injectable drugs referral to other department. Informed consent prescribed. Only 10.97% drugs were prescribed in was taken from the patients and those who gave generic name. informed consent, only those patients were includ- Table 2 shows the different antibiotics prescribed. ed in the study. If the patient was referred to other Among the antibiotics prescribed, most common department for treatment and if the patients were was metronidazole (29 prescriptions). Azithromy- not agreed to give informed consent then those cin was prescribed to 24 patients and Amoxicillin patients were excluded from the study. was prescribed to 22 patients. Other prescribed Permission was taken from Institutional Ethics antibiotics were Ciprofloxacin (4 patients), Committee before conducting the study. Levofloxacin (14 patients), Amoxicillin + Clavu- lanic acid (5 patients), Cefixime (15 patients) and Study parameters: Parameters for drug utilization Roxithromycin (13 patients). study were taken. The parameters used in this study are: Table 3 shows the distribution of analgesics pre- scribed to the study population. Diclofenac was Drug prescribed the most common antibiotics (prescribed to 18 Average number of drugs per prescription patients) followed by paracetamol (prescribed to Percentage of drugs prescribed in generic 17 patients) and aceclofenac (prescribed to 15 pa- name tients). Other analgesics prescribed were Ibuprofen Percentage of prescriptions having antibiotics (prescribed to 9 patients) and Nimesulide (pre- prescribed scribed to 4 patients). Percentage of prescription having injectable Except antibiotics and analgesics other drugs pre- drugs prescribed scribed were H blockers (Ranitidine 12, Fa- 2 Percentage of prescriptions having analgesic motidine 8 patients), Proton pump inhibitors (Pan- prescribed toprazole 17 patients, Omeprazole 10 patients, Rabeprazole 8 patients). Other drugs were pre- After collection of data, it was compiled in Mi- scribed to 34 patients. crosoft Excel sheet and after verification the data was copied to SPSS (version 16.0). Then the whole data was analyzed in SPSS (version 16.0). Table 1: Drug utilization parameters in the studied prescriptions Parameter Freq. Total number of prescription studied 300 Drugs per prescription Total number of drugs prescribed 278 Average number of drugs per prescription 0.93 Percentage of prescription having antibiotic prescribed No. of prescription having antibiotic prescribed 126 %age of prescription with antibiotic prescribed 42% Percentage of prescription having analgesic prescribed No. of prescription having analgesic prescribed 65 %age of prescription with analgesic prescribed 21.67% Percentage of prescription with injectable drugs prescribed No. of prescription having injectable drugs 2 %age of prescription with injectable drugs 0.67% Percentage of drugs prescribed in generic name Total number of drugs prescribed 164 No. of drugs prescribed in generic name 18 %age of drugs prescribed in generic name 10.97% NJMR│Volume 5│Issue 4│Oct – Dec 2015 Page 273
Description: