Evidence map›Paper›PMID 39293406›Full record

ArticleThe American journal of tropical medicine and hygiene2024

Antimicrobial Resistance in Bacterial Species Causing Orthopaedic Surgical Site Infections at a National Trauma Center, Kathmandu, Nepal.

Ajaya Basnet, Pramod Joshi, Sailendra Kumar Duwal Shrestha, Laxmi Kant Khanal, Mahesh Karmacharya, Shila Shrestha, Shiba Kumar Rai

Abstract read
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Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ajaya BasnetDepartment of Medical Microbiology, Shi-Gan International College of Science and Technology, Tribhuvan University, Kathmandu, Nepal.
Pramod JoshiDepartment of Orthopaedic, National Trauma Center, Kathmandu, Nepal.
Sailendra Kumar Duwal ShresthaDepartment of Orthopaedic, Nepal Armed Police Force Hospital, Kathmandu, Nepal.
Laxmi Kant KhanalDepartment of Research and Microbiology, Nepal Medical College and Teaching Hospital, Attarkhel, Kathmandu, Nepal.
Mahesh KarmacharyaDepartment of Orthopaedic, National Trauma Center, Kathmandu, Nepal.
Shila ShresthaDepartment of Medical Microbiology, Shi-Gan International College of Science and Technology, Tribhuvan University, Kathmandu, Nepal.
Shiba Kumar RaiDepartment of Research and Microbiology, Nepal Medical College and Teaching Hospital, Attarkhel, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital-acquired infections, including surgical site infections (SSIs), pose a concerning challenge because of the growing resistance to multiple drugs, largely influenced by extensive prophylactic antimicrobial therapy. Although SSIs are well documented in advanced hospitals in developed nations, their prevalence and bacterial profiles are inadequately reported in low- and middle-income nations such as Nepal. This retrospective cohort study explored the prevalence of orthopaedic SSIs in relation to bacterial etiology and antimicrobial resistance. We examined the surgical and bacteriological records of patients suffering SSIs (clean or clean-contaminated wounds) within a month of their surgical procedures between January 2020 and June 2022 at the National Trauma Center, Kathmandu, Nepal. The prevalence of orthopaedic SSIs among hospital-visiting patients was 31.2% (448/1,438; 95% CI: 28.8-33.5). There were 341 (76.1%) males and 361 (80.6%) adults with SSIs. Knee/joint infections (n = 141, 31.5%) were predominant. An SSI typically occurs 7 days after surgery. Enterobacterales were dominated by Escherichia coli (n = 54, 40.9%), whereas nonfermenters gram-positive cocci (GPC) were dominated by Pseudomonas aeruginosa (n = 69, 81.2%) and Staphylococcus aureus (n = 216, 93.5%), respectively. Enterobacterales, nonfermenters, and GPC exhibited penicillin resistance at 74.5%, 29.8%, and 65.1%, respectively, whereas cephalosporin resistance was exhibited at 48.3%, 57.1%, and 49.6%; fluoroquinolone resistance at 25.9%, 40.5%, and 25.7%; and aminoglycoside resistance at 21.5%, 43.2%, and 17.3%. One-third of orthopaedic surgeries resulted in SSIs, mainly caused by S. aureus. Fluoroquinolones and aminoglycosides were moderately effective in treating bacterial SSIs, whereas penicillins and cephalosporins were the least effective. Nonfermenters exhibited higher antimicrobial resistance compared with Enterobacterales and GPC.

Indexed as

Anti-Bacterial AgentsSurgical Wound InfectionTrauma CentersAdolescentAdultAgedBacteriaChildChild, PreschoolDrug Resistance, BacterialFemaleHumansMaleMiddle AgedNepalOrthopedic ProceduresAnti-Bacterial Agents

Identifiers

PMID39293406
PMCPMC11619503

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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.