A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Comparing individual antimicrobial resistant and multi-drug resistant Salmonella enterica across serotypes, sampling sources, sampling periods, and food animal types in the United States (2014-2018). | LitMetric

AI Article Synopsis

  • This study analyzed antimicrobial-resistant Salmonella enterica from three different sources: cecal contents, HACCP during processing, and retail meat, using data from 2014 and 2018.
  • It employed multivariable logistic regression to assess the prevalence of individual and multi-drug resistant (MDR) strains across various food animal types and sampling periods.
  • Findings revealed that turkey had a higher likelihood of harboring antimicrobial-resistant Salmonella strains, and certain serotypes, like Ceftriaxone and Sulfisoxazole-resistant, were less likely found in HACCP sources compared to cecal sources.

Article Abstract

This study aimed to compare the antimicrobial-resistant Salmonella enterica profiles from three sampling sources cecal contents, HACCP (during processing), and retail meat using phenotypic antibiotic susceptibility and serotype data gathered from 2014 and 2018. Antimicrobial resistance data for 29 major Salmonella serotypes from three sampling sources and associated food animal types (cattle, swine, chicken, and turkey) were obtained from the database of the United States National Antimicrobial Resistance Monitoring System. Using multivariable logistic regression models, we compared individual and multi-drug resistance (MDR) in Salmonella enterica between the three sampling sources, food animal types, sampling period, and Salmonella serotypes. Across the three sources and throughout the sampling period, the recovery of antimicrobial-resistant Salmonella enterica - including MDR, MDR-AmpC, and ACSSuT - among food animal types were dependent on the sampling period and, in some cases, sampling sources and period for the selected antimicrobials. The predicted probability of antimicrobial resistance was greater in Salmonella serotypes from turkey compared to other food animal types, conditional on sampling sources. Ceftriaxone-resistant (OR=0.83, 95% CI: 0.69-0.99), and Sulfisoxazole-resistant (OR=0.84, 95% CI: 0.72-0.98) Salmonella serotypes were less likely to be recovered from the Hazard Analysis and Critical Control Point (HACCP) sources than with the cecal sources. Except for Salmonella serotypes Dublin and Newport, most of the Salmonella serotypes were less likely to be resistant to the selected antimicrobials, or found as MDR, compared to serotype Typhimurium. This study offers an integrated view on the predicted probability of MDR Salmonella serotypes, as well as insights into which serotypes are persistent, emerging or declining across sampling sources and food animal types in the United States.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.prevetmed.2023.106008DOI Listing

Publication Analysis

Top Keywords

sampling sources
28
salmonella serotypes
28
food animal
24
animal types
24
salmonella enterica
16
united states
12
three sampling
12
antimicrobial resistance
12
sampling period
12
salmonella
11

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!