Evidence map›Paper›PMID 26500902›Full record

ArticleJournal of clinical and diagnostic research : JCDR2015

Evaluation of Multidrug Resistant Staphylococcus aureus and their Association with Biofilm Production in a Tertiary Care Hospital, Tripura, Northeast India.

Sibabrata Bhattacharya, Raunak Bir, Tapan Majumdar

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Epidemiology ofAntibiotics (Basel, Switzerland) · 2023
    Review
  8. Livestock, pets and humans as carriers of methicillin-resistantVeterinary research forum : an international quarterly journal · 2023
    Article
  9. Article
  10. Prevalence of Methicillin-resistantOman medical journal · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Prevalence and antibiogram study ofAfrican health sciences · 2019
    Article
  18. Article
  19. MRSA decolonization failure-are biofilms the missing link?Antimicrobial resistance and infection control · 2017
    Article
  20. Hospital-Acquired Methicillin-resistantHawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sibabrata BhattacharyaAssistant Professor, Department of Microbiology, Agartala Government Medical College , Kunjavan, Agartala, Tripura, India .
Raunak BirJunior Resident, Department of Microbiology, Agartala Government Medical College , Kunjavan, Agartala, Tripura, India .
Tapan MajumdarAssociate Professor, Department of Microbiology, Agartala Government Medical College , Kunjavan, Agartala, Tripura, India .
Agartala Government Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh morbidity and mortality rates are associated with Methicillin-resistant Staphylococcus aureus (MRSA) because of development of multidrug resistance. Staphylococcus aureus (S. aureus) has the ability to colonize and form biofilms on biomaterials which is causing resistance towards antimicrobials and thus making them difficult to eradicate from the infected hosts. MATERIALS AND

methodsCulture isolation, identification was done following standard protocol and antibiogram of the isolates were done. The detection of MRSA, Macrolide-Lincosamide-Streptogramin B resistance (MLSB), vancomycin resistance phenotypes were done by using cefoxitin disc diffusion test, D zone test and vancomycin E test. Biofilm was detected by Congo red agar method.

resultsA total of 100 (31.7%) S. aureus strains were isolated from 315 clinical specimens. The prevalence of MRSA was 47% (47/100) with 85.1% were homogeneous MRSA and 14.9% were heterogeneous. Out of 47 MRSA strains, 63.8% were Hospital acquired-MRSA (HA-MRSA) infections whereas rests 36.2% were caused by Community acquired-MRSA (CA-MRSA) strains. Maximum number of MRSA isolates belonged to group A biotype (34%). A 14.9% isolates were of nontypeable group. Out of 100 S. aureus isolates, the prevalence of Vancomycin resistant S. aureus (VRSA) was found to be 3%. The MLSB phenotypes showed that the rates of inducible MLSB (iMLSB), constitutive MLSB (cMLSB) and Macrolide-Streptogramin B (MSB) in case of MRSA to be 19.1%, 31.9% and 12.8%. Prevalence of low-level (MUP(L)) and high-level mupirocin resistance (MUP(H)) among MRSA was 19.1% and 6.4%. Biofilm production was found in 55% strains of S. aureus. Out of 47 MRSA strains 76.6%were producing biofilm in comparison to 38.8% in methicillin-sensitive S. aureus (MSSA). Higher degree of antibiotic resistance in biofilm producers was seen especially in case of ciprofloxacin, co-trimoxazole, rifampicin, kanamycin, erythromycin and clindamycin whereas gentamycin, tetracycline and penicillin resistance was more in non-biofilm producers.

conclusionThis study shows high rate of circulating MRSA with a majority of these isolates are multi-drug resistant of which mostly are biofilm producers in our hospital setup. Development of antimicrobial stewardship program based on the local epidemiological data and national guidelines is the need of the hour.

Indexed as

Congo red agar methodMethicillin resistant Staphylcoccus aureusVancomycin resistant Staphylcoccus aureus

Identifiers

PMID26500902
PMCPMC4606231
OpenAlexW2415079436

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.