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ORIGINAL ARTICLE Table of Contents   
Year : 2008  |  Volume : 33  |  Issue : 2  |  Page : 89-92
 

Antimicrobial resistance among nosocomial isolates in a teaching hospital in Goa


1 Department of Preventive and Social Medicine, Goa Medical College Hospital, Bambolim, Goa, India
2 Department of Microbiology, Goa Medical College Hospital, Bambolim, Goa, India

Date of Submission12-Nov-2007
Date of Acceptance03-Feb-2008

Correspondence Address:
U S Kamat
Flat No:7/F3, Shantaban Housing Complex, Merces, Tiswadi, Goa - 403 005
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0970-0218.40875

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   Abstract 

Background: Emergence of polyantimicrobial resistant strains of hospital pathogens has presented a challenge in the provision of good quality in-patient care. Inappropriate use of antibiotics in the hospital is largely responsible for this catastrophe. Bacteriological surveillance of the cases of nosocomial infections is crucial for framing an evidence-based antimicrobial policy for a hospital. Materials and Methods: A prospective study was undertaken among 498 patients from medicine and surgery wards in a tertiary teaching hospital in Goa. The patients were followed up clinico-bacteriologically for the occurrence of nosocomial infections (NI). Antibiotic susceptibility testing was done using Kirby-Bauer disc diffusion method. Results: The overall infection rate was 33.93 4.16 infections per 100 patients. Urinary tract infection was the most common NI (26.63%), followed by surgical site infection (23.67%), wound infection (23%) and nosocomial pneumonia (18.34%). Ninety-seven percent of the isolates were bacterial, while the others were fungal. More than 80% of the NIs were caused by Gram-negative bacteria, predominantly Pseudomonas aeruginosa, Escherichia coli and Aceinetobacter baumanii . Almost 70% of the isolates were resistant to all the antibiotics for which susceptibility was tested; the rest were sensitive to amikacin, cefoperazone-sulbactam and other antibiotics including methicillin, co-trimoxazole, teicoplenin, vancomycin and rifampicin, either singly or in combination. The proportion of MRSA was 71.4%. Resistance to a particular antibiotic was found to be directly proportional to the antibiotic usage in the study setting. Conclusion: Surveillance of nosocomial infections with emphasis on the microbiologic surveillance and frequent antimicrobial audit are critical towards curbing the evil of polyantimicrobial resistant nosocomial infections in a hospital.


Keywords: Antibiotic usage, antimicrobial resistance, nosocomial infection


How to cite this article:
Kamat U S, Ferreira A, Savio R, Motghare D D. Antimicrobial resistance among nosocomial isolates in a teaching hospital in Goa. Indian J Community Med 2008;33:89-92

How to cite this URL:
Kamat U S, Ferreira A, Savio R, Motghare D D. Antimicrobial resistance among nosocomial isolates in a teaching hospital in Goa. Indian J Community Med [serial online] 2008 [cited 2017 Oct 17];33:89-92. Available from: http://www.ijcm.org.in/text.asp?2008/33/2/89/40875


Infections acquired in the hospital account for major causes of death, morbidity, functional disability, emotional suffering and economic burden among the hospitalized patients. [1] These nosocomial infections (NI) occur among 7-12% of the hospitalized patients globally with more than 1.4 million people suffering from the infectious complications acquired in the hospital. [2] The issue is further complicated by the emergence of polyantimicrobial resistant strains of hospital pathogens. The microbes have developed the ability to elude the best antimicrobial agents and to counter-attack with new survival strategies that has made the spread of NI easier, and the control even more difficult. Evidence-based antimicrobial prescription policy could help curb the problem; however, surveillance of nosocomial infections is an essential pre-requisite. Differences in the hospital settings preclude the generlistion of results from a hospital to the other hospitals. [3],[4]

A prospective study was, therefore, undertaken in a medical college hospital in Goa to estimate the incidence of Nosocomial infections in the medical and surgery wards, and also to study the antimicrobial susceptibility of the hospital isolates.


   Materials and Methods Top


A prospective study among 498 in-patients, with the hospital stay of more than 48 h in the selected medical and surgical wards of the apex medical teaching institution in Goa, was undertaken during June-December 2005. The patients were followed-up clinico-bacteriologically until they were discharged, or until death during hospitalization or the development of NI. The specific nosocomial infections were diagnosed as per the criteria laid by the Centre for Disease Prevention and Control, Atlanta. [5] Antibiotic susceptibility was tested by the Kirby-Bauer disc-diffusion method. For those with positive culture reports, repeat culture was made weekly, till discharge for an evidence of new infection. Those with the similar isolates with the same antibiogram at subsequent cultures were reported to have a single episode of infection. Isolation of more than two organisms from a sample was considered as an evidence of contamination, and the repeat sample was collected. The antimicrobial sensitivity was tested to the following antibiotics as per the relevance: amoxycillin, augmentin (amoxycillin with clavulinic acid), methicillin, tetracycline, co-trimoxazole, roxithromycin, azithromycin, oxacillin, chloremphenicol, amikacin, gentamicin, tobramycin, netromycin, carbenicillin, teicoplenin, cefadroxyl, cefuroxime, cefoperazone, magnex (cefoperazone with sulbactam), ceftriaxone, cefotaxime, ceftizoxime, ceftazidime, nalidixic acid, norfloxacin, ciprofloxacin, furazolidone, rifampicin, vancomycin, and levofloxacin.

Incidence of NI was expressed as infection percentage [6] (number of patients infected per 100 patients), infection rate [6] (number of episodes of NI per 100 patients) and incidence-density. [7]


   Observations and Discussion Top


Of the 498 patients, 103 developed 169 episodes of NI. Thus the overall infection percentage was 20.68 3.56%, and infection rate of 33.93 4.16 infections per 100 patients. The overall incidence-density was estimated to be 40.66 7.85 infections per 1000 patient-days. Urinary tract infection was the most common NI (26.63%), followed by surgical site infection (23.67%), wound infection (23%) and nosocomial pneumonia (18.34%). Nosocomial phlebitis and septicemia, respectively, accounted for 4.73% and 3.55% of the total NI.

Two hundred and seventeen biological samples of blood, urine, sputum, pus, wound swabs, and intravenous catheter tips were sent for microbiological assessment during the study period, out of which 164 revealed positive culture reports; the rest five cases showing clinical evidence of NI. In all, 232 isolates were cultured from 164 microbiologically positive cases of NI. Of these, six (2.6%) were fungal while the remaining 226 (97.4%) were bacterial isolates. [Table - 1] details the five common isolates from the different sites of NI.

More than 80% of the NIs were caused by the Gram-negative Bacteria (GNB). Pseudomonas aeruginosa ,  Escherichia More Details coli , Aceinetobacter baumanii and Staphylococcus aureus together constituted more than 70% of the isolates. Increasing importance of GNB in NI has been commented on by a number of investigators. [8],[9] Escherichia coli was the most common isolate from the cases of urinary tract infection. While Pseudomonas aeruginosa dominated the bacteriology of nosocomial pneumonia, surgical site infection, skin and soft tissue infection and septicemia; Citrobacter diversus was most commonly implicated in the causation of nosocomial phlebitis. This observation is consistent with the findings of other researchers. [9] [Table - 2] depicts the nosocomial isolates (fungal isolates excluded) and their antimicrobial susceptibility pattern.

One hundred and fifty-eight (69.9%) isolates were resistant to all the antibiotics for which susceptibility was tested, 11.9% were sensitive to amikacin, 19% were sensitive to cefoperazone-sulbactam, and 8.84% sensitive to other antibiotics including methicillin, co-trimoxazole, teicoplenin, vancomycin and rifampicin. The categories sensitive to amikacin and sensitive to cefoperazone-sulbactam are not mutually exclusive ones, as 7.5% (17 of 226) of the isolates were sensitive to both amikacin and cefoperazone-sulbactam. Maximum sensitivity was thus demonstrated to cefoperazone-sulbactam, followed by amikacin. Increased sensitivity of hospital pathogens to cefoperazone-sulbactam and amikacin, admist widespread antimicrobial resistance has been reported in few studies. [3],[8],[10]

Among the Staphylococcus aureus 28.6% (10/35) were sensitive to methicillin, implying the proportion of methicillin-resistant Staphylococcus aureus (MRSA) to be 71.4%. Other studies in India have quoted the prevalence of MRSA ranging from 54.8% [11] to 80.89%. [12] Among the sensitive isolates of Staphylococcus aureus 88.2% were sensitive to vancomycin, and all were sensitive to teicoplenin. Emergence of glycopeptide-resistance among Staphylococcus aureus has been described by several researchers. [9]

Inappropriate use of antibiotics and consequent selective antibiotic pressure has been incriminated in the genesis of the antibiotic resistant strains in the literature. [9],[13],[14] [Figure - 1] depicts the correlation between the specific antibiotic usage in the study wards and the proportion of the isolates resistant to the antibiotic. Antibiotics were prescribed among 72% of the total study subjects; however no attempt was made to probe in to the rationality and appropriateness of the antibiotic prescription.

It is observed that the antibiotics with maximum sensitivity were the ones that were rarely prescribed. An observation similar to this was made with respect to the antimicrobial resistance among E. coli in a tertiary hospital in New Delhi, India. [15] The observation reinforces the fact that selective antibiotic pressure escalates the drug resistance and forms a sound basis for the recommending the 'cycling of antibiotics'. [16] This technique alternates the formulary of antimicrobials between drug classes every couple of months and theoretically reduces the selective pressures of one antimicrobial class.


   Conclusion Top


High incidence of NIs and the aetiological role played by the polyantimicrobial resistant strains of micro-organisms calls for the revival of the activities of the Infection Control Committee in the hospital. Meticulous surveillance of NIs including the surveillance of hospital isolates and their antibiotic sensitivity patterns could help in formulation of an evidence-based antibiotic policy. It has been stated that antibiotic prescriptions in teaching hospitals, worldwide, are inappropriate in 41-91% of instances. [16] Frequent antimicrobial audit and qualitative research could give an insight in to the current antibiotic prescription practices and the factors governing the same. Regular dissemination of the surveillance information to the health care professionals, feedback from them, and timely corrective actions shall forge a final link in the surveillance cycle.

 
   References Top

1.Nicholas G. Economics and preventing hospital-acquired infection. Emerg Infects Dis April 2004;10:561-5.  Back to cited text no. 1    
2.Ducel G, Fabry J, Nicolle L. Prevention of hospital acquired infections - a practical guide, 2 nd ed. Geneva: WHO; 2002.  Back to cited text no. 2    
3.Prashanth K, Badrinath S. Invitro susceptibility pattern of aceinetobacter species to commonly used cephalosporins, quinolones and aminoglycosides. Indian J Med Microbiol 2004;22:97-103.  Back to cited text no. 3    
4.Freeman J, McGowan J, Jr. Differential risk of nosocomial infection. Am J Med April 1981;70:915-8.  Back to cited text no. 4    
5.Gaynes RP, Horan TC. Surveillance of nosocomial infections. In: Mayhall Glen C, editor. Hospital epidemiology and infection control. 2nd ed. Philadelphia: Lipincott Williams & Wilkins; 1999. p. 1285-319.  Back to cited text no. 5    
6.Emori TC, Haley RW, Garner JS. Techniques and uses of nosocomial infection surveillance in US hospitals, 1976-1977. Am J Med 1981;70:933-40.  Back to cited text no. 6    
7.Freeman J. Modern quantitative epidemiology in the hospital. In: Mayhall Glen C, editor. Hospital epidemiology and infection control. 2nd ed. Philadelphia: Lipincott Williams and Wilkins; 1999. p. 15-48.  Back to cited text no. 7    
8.Carlos D. Epidemiology of nosocomial infections: 10-month experience in one hospital. Curr Ther Res, 1996; 56 Suppl 3A:26-9.  Back to cited text no. 8    
9.Prescott LM, Harley JP, Klein DA. Microbiology. 5th ed. Singapore: Tata McGraw Hill; 2003. p. 860-2.  Back to cited text no. 9    
10.Gupta SK. Cefoperazone-Sulbactam in surgical infections. Hospital Today November 2000;V(11):621-8.  Back to cited text no. 10    
11.Anupurba S, sen MR, Nath G, sharma BM, Gulati AK, Mohapatra TM. Prevalence of methicillin resistant staphylococcus aureus in a tertiary referral hospital in eastern Uttar Pradesh. Indian J Med Microbiol 2003;21:49-51.  Back to cited text no. 11  [PUBMED]  [FULLTEXT]
12.Verma S, Joshi S, Chitnis V, Hemwani N, Chitnis D. Growing problem of MRSA: Indian scenario. Indian J Med Sci 2000;54:535-40.  Back to cited text no. 12    
13.Goldmann DA, Weinstein RA, Wenzel RP, Tablan OC, Duma RJ, Gaynes RP et al . Strategies to prevent and control the emergence and spread of antimicrobial-resistant microorganisms in hospitals. JAMA 1996;275:234-40.  Back to cited text no. 13    
14.Marin H. Kollef. The importance of appropriate initial antibiotic therapy for hospital -acquired infections. Am J Med 2003;115:582-4.  Back to cited text no. 14    
15.Wattal C, Joshi S, Sharma A, Oberoi JK, Prasad KJ. Prescription auditing and antimicrobial resistance at a tertiary care hospital in New Delhi, India. J Hosp Infect 2005;59:156-8.  Back to cited text no. 15  [PUBMED]  [FULLTEXT]
16.WHO. WHO global strategy for containment of antimicrobial resistance. WHO/CDS/CSR/DRS/2001.2.  Back to cited text no. 16    


    Figures

  [Figure - 1]
 
 
    Tables

  [Table - 1], [Table - 2]


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