Evidence map›Paper›PMID 35765776›Full record

ArticleOrthopaedic surgery2022

Epidemiologic Correlation and Drug Resistance Analysis of Pathogenic Bacteria in Different Open Limb Injury External Conditions.

Bang-Lin Xie, Run-Sheng Guo, Wen Liang, Xiao-Wei Yang, Jia-Qiang Xu, Li-Jun Wan, Wen-Ye Yao, Zhi Yi, Ni-Ya Hu, Bin Zhang

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Article in Orthopaedic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Bang-Lin XieDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Run-Sheng GuoDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Wen LiangDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Xiao-Wei YangDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Jia-Qiang XuDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Li-Jun WanDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Wen-Ye YaoDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Zhi YiDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Ni-Ya HuDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Bin ZhangDepartment of Orthopedic Surgery and Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China.ORCID https://orcid.org/0000-0002-6268-1564
Nanchang University · CN

Funding

Education Department of Jiangxi Province GJJ160127Health Commission of Jiangxi Province 2016A073Health Commission of Jiangxi Province 20203120
6 · The paper itself

Abstract

objectiveTo study the epidemiological correlation and drug resistance of external factors of infection caused by open injury of limbs to pathogens.

methodsThis experiment is a retrospective study. We took the geographical location and climate of Nanchang, Jiangxi Province, China as the background, analyzed 2017 strains of pathogens from 1589 patients with limb trauma infection in a University Affiliated Hospital from 2012 to 2017. Patients were divided into three groups according to the type of incision: I, In-hospital infection of clean limb incision, II, In-hospital infection with open injury, III, Community infection with open injury of the limb. Groups II and Groups III were divided into six subgroups according to the causes of trauma, including: accidents from non-motor vehicles, machinery, cutting/piercing, pedestrian injuries, struck by/against, pedal cycles, and other injuries. We found eight common pathogens of orthopedic infection, which were mainly divided into Gram-positive bacteria (G+, mainly including Staphylococcus) and Gram-negative bacteria (G-, mainly Enterobacteriaceae). The relationship between main pathogens and damage mechanism, apparent temperature and relative humidity was discussed in this study. SPSS v22.0 was used for statistical analysis of the data. Friedman's two-way ANOVA was used to analyze the difference between the injury mechanism and incidence of pathogenic bacteria. Linear regression was used to determine the trend between the incidence of major pathogens and seasonal temperature and humidity. The level of significance was set as P < 0.05.

resultsThere was no significant difference in the distribution of pathogens between Groups II and Groups III (P>0.05). The drug resistance of Groups III was significantly higher than that of Groups II and Groups I. G+ bacteria were resistant to cephalosporin, ceftriaxone and other cephalosporins and erythromycin and other macrolides. They were sensitive to vancomycin and linezolid. G- were resistant to the first- and the second-generation cephalosporins, including cefotetan and cefazolin, and ampicillin and other penicillins, while they were sensitive to third-generation cephalosporins, such as ceftazidime, as well as to levofloxacin and other quinolones, meropenem, and other beta-lactamases. The correlation between the injury mechanism and infection of pathogenic bacteria was not significant. The monthly average apparent temperature and relative humidity were correlated with the infection rate of pathogenic bacteria.

conclusionIn open injury of extremities, apparent temperature and relative humidity is an important risk factor for infection by pathogenic bacteria and the drug resistance of pathogenic bacteria in out-of-hospital infection was lower than that of hospital infection.

Indexed as

Cross InfectionMethicillin-Resistant Staphylococcus aureusAnti-Bacterial AgentsCephalosporinsDrug Resistance, BacterialExtremitiesHumansMicrobial Sensitivity TestsRetrospective StudiesAnti-Bacterial AgentsCephalosporinsApparent temperatureDrug resistanceInfectionOpen injury of limbsPathogenic bacteriaRelative humidity

Identifiers

PMID35765776
PMCPMC9363730
OpenAlexW4283723703

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LicenceCC BY-NC-ND
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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.