Antimicrobial resistance pattern in clinical Escherichia coli and Pseudomonas aeruginosa isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait
The study objective was to compare the prevalence of antimicrobial resistance (AMR) in clinical and isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait. A retrospective descriptive study was conducted based on AMR profiles of clinical Escherichia coli...
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| Veröffentlicht in: | Germs (Bucureşti) 2022-09, Vol.12 (3), p.372-383 |
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| creator | Alali, Walid Q Abdo, Naglaa M AlFouzan, Wadha Dhar, Rita |
| description | The study objective was to compare the prevalence of antimicrobial resistance (AMR) in clinical
and
isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait.
A retrospective descriptive study was conducted based on AMR profiles of clinical Escherichia coli and Pseudomonas aeruginosa isolates. The AMR data represented isolates from five specimen types (body fluids; blood; respiratory; wound, bone, or other tissues; and urine) of patients admitted to four wards (surgical, medical, pediatric, and maternal-postnatal). Tested isolates between January 2019 and February 2020 represented the pre-COVID-19 pandemic period in Kuwait, whereas those from February 2020 until April 2021 represented the 'during COVID-19' period.
A total of 1,303 isolates (57.2%
and 42.8%
) were analyzed. For ceftazidime, ertapenem and meropenem, the prevalence of AMR in
was significantly (p |
| doi_str_mv | 10.18683/germs.2022.1341 |
| format | Article |
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and
isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait.
A retrospective descriptive study was conducted based on AMR profiles of clinical Escherichia coli and Pseudomonas aeruginosa isolates. The AMR data represented isolates from five specimen types (body fluids; blood; respiratory; wound, bone, or other tissues; and urine) of patients admitted to four wards (surgical, medical, pediatric, and maternal-postnatal). Tested isolates between January 2019 and February 2020 represented the pre-COVID-19 pandemic period in Kuwait, whereas those from February 2020 until April 2021 represented the 'during COVID-19' period.
A total of 1,303 isolates (57.2%
and 42.8%
) were analyzed. For ceftazidime, ertapenem and meropenem, the prevalence of AMR in
was significantly (p<0.05) lower in pre-COVID-19 wards compared to that during COVID-19, whereas for other antibiotics (i.e., cefepime, gentamicin, and trimethoprim/sulfamethoxazole), the prevalence of AMR in pre-COVID-19 was significantly higher than that during COVID-19. The prevalence of AMR to gentamicin in
isolates from non-COVID-19 wards (52.8%) was significantly higher (p<0.001) than that from COVID-19 wards (35.0%) and from the pre-COVID-19 period (32.9%). The multidrug-resistance (MDR) prevalence was 37.4% for
and 32.1% for
isolates. The odds of MDR in
isolates from the COVID-19 medical wards were significantly lower (OR=0.27, [95%CI: 0.09-0.80], p=0.018) compared to the pre-COVID-19 wards. The odds of MDR
and
isolates by COVID-19 status stratified by specimen type were not different (p>0.05).
No major differences in AMR in
and
prevalence by specimen type and wards prior to and during the COVID-19 pandemic was observed at this hospital. The high reported MDR prevalence calls for better infection control and prevention.</description><identifier>ISSN: 2248-2997</identifier><identifier>EISSN: 2248-2997</identifier><identifier>DOI: 10.18683/germs.2022.1341</identifier><identifier>PMID: 37680673</identifier><language>eng</language><publisher>Romania: Asociatia pentru Cresterea Vizibilitatii Cercetarii Stiintifice (ACVCS)</publisher><subject>Antibiotics ; Antimicrobial agents ; Bacteria ; Bacterial infections ; Committees ; Coronaviruses ; COVID-19 ; Cross infection ; Disease control ; Drug resistance ; Drug resistance in microorganisms ; E coli ; Epidemics ; Escherichia coli ; Hospitals ; Identification and classification ; Infections ; Kuwait ; Laboratories ; Medical research ; Nosocomial infections ; Original ; Pandemics ; Pediatrics ; Pseudomonas aeruginosa ; Quality control ; Risk factors ; Software ; Statistics ; Testing ; Trends</subject><ispartof>Germs (Bucureşti), 2022-09, Vol.12 (3), p.372-383</ispartof><rights>GERMS.</rights><rights>COPYRIGHT 2022 Asociatia pentru Cresterea Vizibilitatii Cercetarii Stiintifice (ACVCS)</rights><rights>2022. This work is published under http://www.germs.ro/en/Pages/About-4 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>GERMS 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-c45fbb3237a3c15a557f40432b29271c824c5e8cb9c93c65889907afe7d9b1fb3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482471/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482471/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37680673$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alali, Walid Q</creatorcontrib><creatorcontrib>Abdo, Naglaa M</creatorcontrib><creatorcontrib>AlFouzan, Wadha</creatorcontrib><creatorcontrib>Dhar, Rita</creatorcontrib><title>Antimicrobial resistance pattern in clinical Escherichia coli and Pseudomonas aeruginosa isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait</title><title>Germs (Bucureşti)</title><addtitle>Germs</addtitle><description>The study objective was to compare the prevalence of antimicrobial resistance (AMR) in clinical
and
isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait.
A retrospective descriptive study was conducted based on AMR profiles of clinical Escherichia coli and Pseudomonas aeruginosa isolates. The AMR data represented isolates from five specimen types (body fluids; blood; respiratory; wound, bone, or other tissues; and urine) of patients admitted to four wards (surgical, medical, pediatric, and maternal-postnatal). Tested isolates between January 2019 and February 2020 represented the pre-COVID-19 pandemic period in Kuwait, whereas those from February 2020 until April 2021 represented the 'during COVID-19' period.
A total of 1,303 isolates (57.2%
and 42.8%
) were analyzed. For ceftazidime, ertapenem and meropenem, the prevalence of AMR in
was significantly (p<0.05) lower in pre-COVID-19 wards compared to that during COVID-19, whereas for other antibiotics (i.e., cefepime, gentamicin, and trimethoprim/sulfamethoxazole), the prevalence of AMR in pre-COVID-19 was significantly higher than that during COVID-19. The prevalence of AMR to gentamicin in
isolates from non-COVID-19 wards (52.8%) was significantly higher (p<0.001) than that from COVID-19 wards (35.0%) and from the pre-COVID-19 period (32.9%). The multidrug-resistance (MDR) prevalence was 37.4% for
and 32.1% for
isolates. The odds of MDR in
isolates from the COVID-19 medical wards were significantly lower (OR=0.27, [95%CI: 0.09-0.80], p=0.018) compared to the pre-COVID-19 wards. The odds of MDR
and
isolates by COVID-19 status stratified by specimen type were not different (p>0.05).
No major differences in AMR in
and
prevalence by specimen type and wards prior to and during the COVID-19 pandemic was observed at this hospital. The high reported MDR prevalence calls for better infection control and prevention.</description><subject>Antibiotics</subject><subject>Antimicrobial agents</subject><subject>Bacteria</subject><subject>Bacterial infections</subject><subject>Committees</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cross infection</subject><subject>Disease control</subject><subject>Drug resistance</subject><subject>Drug resistance in microorganisms</subject><subject>E coli</subject><subject>Epidemics</subject><subject>Escherichia coli</subject><subject>Hospitals</subject><subject>Identification and classification</subject><subject>Infections</subject><subject>Kuwait</subject><subject>Laboratories</subject><subject>Medical research</subject><subject>Nosocomial infections</subject><subject>Original</subject><subject>Pandemics</subject><subject>Pediatrics</subject><subject>Pseudomonas aeruginosa</subject><subject>Quality control</subject><subject>Risk factors</subject><subject>Software</subject><subject>Statistics</subject><subject>Testing</subject><subject>Trends</subject><issn>2248-2997</issn><issn>2248-2997</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptUk1v1DAQjRCIVqV3TsgSEuKyiz-S2Dmh1VKgolI5AFdr4kw2rhJ7sZ0ifhz_De-2lF2ELdkjz5s3H35F8ZzRJVO1Em82GKa45JTzJRMle1Sccl6qBW8a-fjAPinOY7yheSlKa1k_LU6ErFU2xWnxa-WSnawJvrUwkoDRxgTOINlCShgcsY6Y0TprsvsimgGDNYMFYvxoCbiOfI44d37yDiIBDPPGOh-B2OhHSBiJbxNYhx3pg58IkIjGuw7Cz4WBgGTwcWtTJt8G6wNJfk_azcG6DUkDkvX1t8t3C9bkilyHudZdSZ_mH2DTs-JJD2PE8_v7rPj6_uLL-uPi6vrD5Xp1tTClYimfVd-2ggsJwrAKqkr2JS0Fb3nDJTOKl6ZCZdrGNMLUlVJNQyX0KLumZX0rzoq3d7zbuZ2wM-hSgFHniqfch_Zg9bHH2UFv_K1mtMzkkmWG1_cMwX-fMSY92WhwHMGhn6Pmqha8qWglM_TlP9AbPweX-9Nc1hWjXJT1X9QGRtTW9T4nNjtSvZKiEjmtaDJq-R9U3vtBeoe9ze9HAa8OAgaEMQ35I-dkvYvHQHoHzNKJMWD_MA1G9V6feq9PvdOn3ukzh7w4nOJDwB81it-p8-OF</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Alali, Walid Q</creator><creator>Abdo, Naglaa M</creator><creator>AlFouzan, Wadha</creator><creator>Dhar, Rita</creator><general>Asociatia pentru Cresterea Vizibilitatii Cercetarii Stiintifice (ACVCS)</general><general>European HIV/AIDS and Infectious Diseases Academy</general><general>Asociația pentru Creşterea Vizibilității Cercetării Ştiințifice (ACVCS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220901</creationdate><title>Antimicrobial resistance pattern in clinical Escherichia coli and Pseudomonas aeruginosa isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait</title><author>Alali, Walid Q ; Abdo, Naglaa M ; AlFouzan, Wadha ; Dhar, Rita</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-c45fbb3237a3c15a557f40432b29271c824c5e8cb9c93c65889907afe7d9b1fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antibiotics</topic><topic>Antimicrobial agents</topic><topic>Bacteria</topic><topic>Bacterial infections</topic><topic>Committees</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Cross infection</topic><topic>Disease control</topic><topic>Drug resistance</topic><topic>Drug resistance in microorganisms</topic><topic>E coli</topic><topic>Epidemics</topic><topic>Escherichia coli</topic><topic>Hospitals</topic><topic>Identification and classification</topic><topic>Infections</topic><topic>Kuwait</topic><topic>Laboratories</topic><topic>Medical research</topic><topic>Nosocomial infections</topic><topic>Original</topic><topic>Pandemics</topic><topic>Pediatrics</topic><topic>Pseudomonas aeruginosa</topic><topic>Quality control</topic><topic>Risk factors</topic><topic>Software</topic><topic>Statistics</topic><topic>Testing</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alali, Walid Q</creatorcontrib><creatorcontrib>Abdo, Naglaa M</creatorcontrib><creatorcontrib>AlFouzan, Wadha</creatorcontrib><creatorcontrib>Dhar, Rita</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Germs (Bucureşti)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alali, Walid Q</au><au>Abdo, Naglaa M</au><au>AlFouzan, Wadha</au><au>Dhar, Rita</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Antimicrobial resistance pattern in clinical Escherichia coli and Pseudomonas aeruginosa isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait</atitle><jtitle>Germs (Bucureşti)</jtitle><addtitle>Germs</addtitle><date>2022-09-01</date><risdate>2022</risdate><volume>12</volume><issue>3</issue><spage>372</spage><epage>383</epage><pages>372-383</pages><issn>2248-2997</issn><eissn>2248-2997</eissn><abstract>The study objective was to compare the prevalence of antimicrobial resistance (AMR) in clinical
and
isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait.
A retrospective descriptive study was conducted based on AMR profiles of clinical Escherichia coli and Pseudomonas aeruginosa isolates. The AMR data represented isolates from five specimen types (body fluids; blood; respiratory; wound, bone, or other tissues; and urine) of patients admitted to four wards (surgical, medical, pediatric, and maternal-postnatal). Tested isolates between January 2019 and February 2020 represented the pre-COVID-19 pandemic period in Kuwait, whereas those from February 2020 until April 2021 represented the 'during COVID-19' period.
A total of 1,303 isolates (57.2%
and 42.8%
) were analyzed. For ceftazidime, ertapenem and meropenem, the prevalence of AMR in
was significantly (p<0.05) lower in pre-COVID-19 wards compared to that during COVID-19, whereas for other antibiotics (i.e., cefepime, gentamicin, and trimethoprim/sulfamethoxazole), the prevalence of AMR in pre-COVID-19 was significantly higher than that during COVID-19. The prevalence of AMR to gentamicin in
isolates from non-COVID-19 wards (52.8%) was significantly higher (p<0.001) than that from COVID-19 wards (35.0%) and from the pre-COVID-19 period (32.9%). The multidrug-resistance (MDR) prevalence was 37.4% for
and 32.1% for
isolates. The odds of MDR in
isolates from the COVID-19 medical wards were significantly lower (OR=0.27, [95%CI: 0.09-0.80], p=0.018) compared to the pre-COVID-19 wards. The odds of MDR
and
isolates by COVID-19 status stratified by specimen type were not different (p>0.05).
No major differences in AMR in
and
prevalence by specimen type and wards prior to and during the COVID-19 pandemic was observed at this hospital. The high reported MDR prevalence calls for better infection control and prevention.</abstract><cop>Romania</cop><pub>Asociatia pentru Cresterea Vizibilitatii Cercetarii Stiintifice (ACVCS)</pub><pmid>37680673</pmid><doi>10.18683/germs.2022.1341</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2248-2997 |
| ispartof | Germs (Bucureşti), 2022-09, Vol.12 (3), p.372-383 |
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| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Antibiotics Antimicrobial agents Bacteria Bacterial infections Committees Coronaviruses COVID-19 Cross infection Disease control Drug resistance Drug resistance in microorganisms E coli Epidemics Escherichia coli Hospitals Identification and classification Infections Kuwait Laboratories Medical research Nosocomial infections Original Pandemics Pediatrics Pseudomonas aeruginosa Quality control Risk factors Software Statistics Testing Trends |
| title | Antimicrobial resistance pattern in clinical Escherichia coli and Pseudomonas aeruginosa isolates obtained from a secondary-care hospital prior to and during the COVID-19 pandemic in Kuwait |
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