Assessing antibiotic therapy effectiveness against the major bacterial pathogens in a hospital using an integrated index
To assess the effectiveness of antibiotic therapy against five indicator bacteria in a Chinese hospital using an index-based approach. The study population comprises 1031 patients who had one clinically significant bacterial isolate in 2008, 2010 and 2013. Drug resistance index (DRI) based on pathog...
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| Veröffentlicht in: | Future microbiology 2017-08, Vol.12 (10), p.853-866 |
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| container_end_page | 866 |
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| container_title | Future microbiology |
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| creator | Chen, Yong Song, Boqiang Shan, Xue Qin, Yanhong Wang, Liang Wang, Hongyuan Lu, Zhongyi Liu, Lin Yin, Danping Han, Xuelin Zhao, Jingya Tian, Shuguang Chen, Fangyan Su, Xueting Huang, Liuyu Li, Qi Grundmann, Hajo Zhang, Hong Han, Li |
| description | To assess the effectiveness of antibiotic therapy against five indicator bacteria in a Chinese hospital using an index-based approach.
The study population comprises 1031 patients who had one clinically significant bacterial isolate in 2008, 2010 and 2013. Drug resistance index (DRI) based on pathogens was calculated.
The adaptive DRIs for
decreased, while both adaptive and fixed DRIs for
spp. increased from 2008 to 2013. The adaptive DRIs for
increased from 2008 to 2013, while the fixed DRIs exhibited a decreasing trend.
DRI could be used to demonstrate the changes of antimicrobial resistance and prescribing over time as a result of evolutionary processes and governmental regulatory interference. |
| doi_str_mv | 10.2217/fmb-2017-0025 |
| format | Article |
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The study population comprises 1031 patients who had one clinically significant bacterial isolate in 2008, 2010 and 2013. Drug resistance index (DRI) based on pathogens was calculated.
The adaptive DRIs for
decreased, while both adaptive and fixed DRIs for
spp. increased from 2008 to 2013. The adaptive DRIs for
increased from 2008 to 2013, while the fixed DRIs exhibited a decreasing trend.
DRI could be used to demonstrate the changes of antimicrobial resistance and prescribing over time as a result of evolutionary processes and governmental regulatory interference.</description><identifier>ISSN: 1746-0913</identifier><identifier>EISSN: 1746-0921</identifier><identifier>DOI: 10.2217/fmb-2017-0025</identifier><identifier>PMID: 28699775</identifier><language>eng</language><publisher>England: Future Medicine Ltd</publisher><subject>Acinetobacter - drug effects ; Anti-Bacterial Agents - administration & dosage ; Anti-Bacterial Agents - pharmacology ; Anti-Bacterial Agents - therapeutic use ; Antibiotics ; Antimicrobial agents ; Antimicrobial resistance ; Bacteria ; Bacteria - drug effects ; Bacteria - pathogenicity ; Bacterial infections ; Beijing ; Cross Infection - drug therapy ; Drug resistance ; drug resistance index ; Drug Resistance, Bacterial - drug effects ; E coli ; Escherichia coli - drug effects ; Ethics ; Hospitalization ; Hospitals ; Humans ; inadequate antibiotic treatment ; Infection Control ; Klebsiella pneumoniae - drug effects ; Laboratories ; Microbial Sensitivity Tests ; nosocomial infection ; Pathogens ; Patients ; Pneumonia ; Population studies ; Prescription Drugs ; Pseudomonas aeruginosa - drug effects ; Public health ; Staphylococcus aureus - drug effects ; Staphylococcus infections ; Urogenital system</subject><ispartof>Future microbiology, 2017-08, Vol.12 (10), p.853-866</ispartof><rights>2017 Future Medicine Ltd</rights><rights>Copyright Future Medicine Ltd Aug 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-ce7b791641c3d50628bb8ab22f50ab9f30ce0aeea556aedb1bf25859a0fc4aec3</citedby><cites>FETCH-LOGICAL-c410t-ce7b791641c3d50628bb8ab22f50ab9f30ce0aeea556aedb1bf25859a0fc4aec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28699775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Yong</creatorcontrib><creatorcontrib>Song, Boqiang</creatorcontrib><creatorcontrib>Shan, Xue</creatorcontrib><creatorcontrib>Qin, Yanhong</creatorcontrib><creatorcontrib>Wang, Liang</creatorcontrib><creatorcontrib>Wang, Hongyuan</creatorcontrib><creatorcontrib>Lu, Zhongyi</creatorcontrib><creatorcontrib>Liu, Lin</creatorcontrib><creatorcontrib>Yin, Danping</creatorcontrib><creatorcontrib>Han, Xuelin</creatorcontrib><creatorcontrib>Zhao, Jingya</creatorcontrib><creatorcontrib>Tian, Shuguang</creatorcontrib><creatorcontrib>Chen, Fangyan</creatorcontrib><creatorcontrib>Su, Xueting</creatorcontrib><creatorcontrib>Huang, Liuyu</creatorcontrib><creatorcontrib>Li, Qi</creatorcontrib><creatorcontrib>Grundmann, Hajo</creatorcontrib><creatorcontrib>Zhang, Hong</creatorcontrib><creatorcontrib>Han, Li</creatorcontrib><title>Assessing antibiotic therapy effectiveness against the major bacterial pathogens in a hospital using an integrated index</title><title>Future microbiology</title><addtitle>Future Microbiol</addtitle><description>To assess the effectiveness of antibiotic therapy against five indicator bacteria in a Chinese hospital using an index-based approach.
The study population comprises 1031 patients who had one clinically significant bacterial isolate in 2008, 2010 and 2013. Drug resistance index (DRI) based on pathogens was calculated.
The adaptive DRIs for
decreased, while both adaptive and fixed DRIs for
spp. increased from 2008 to 2013. The adaptive DRIs for
increased from 2008 to 2013, while the fixed DRIs exhibited a decreasing trend.
DRI could be used to demonstrate the changes of antimicrobial resistance and prescribing over time as a result of evolutionary processes and governmental regulatory interference.</description><subject>Acinetobacter - drug effects</subject><subject>Anti-Bacterial Agents - administration & dosage</subject><subject>Anti-Bacterial Agents - pharmacology</subject><subject>Anti-Bacterial Agents - therapeutic use</subject><subject>Antibiotics</subject><subject>Antimicrobial agents</subject><subject>Antimicrobial resistance</subject><subject>Bacteria</subject><subject>Bacteria - drug effects</subject><subject>Bacteria - pathogenicity</subject><subject>Bacterial infections</subject><subject>Beijing</subject><subject>Cross Infection - drug therapy</subject><subject>Drug resistance</subject><subject>drug resistance index</subject><subject>Drug Resistance, Bacterial - drug effects</subject><subject>E coli</subject><subject>Escherichia coli - drug effects</subject><subject>Ethics</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>inadequate antibiotic treatment</subject><subject>Infection Control</subject><subject>Klebsiella pneumoniae - drug effects</subject><subject>Laboratories</subject><subject>Microbial Sensitivity Tests</subject><subject>nosocomial infection</subject><subject>Pathogens</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Population studies</subject><subject>Prescription Drugs</subject><subject>Pseudomonas aeruginosa - drug effects</subject><subject>Public health</subject><subject>Staphylococcus aureus - drug effects</subject><subject>Staphylococcus infections</subject><subject>Urogenital system</subject><issn>1746-0913</issn><issn>1746-0921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU2PFCEQhonRuB969GpIvHhpBXpo4LjZrK7JJl70TAq6mGEyTbdAm91_L5MZ92DiiaJ4eFOph5B3nH0SgqvPYXKdYFx1jAn5glxytRk6ZgR_-Vzz_oJclbJnTGpu-GtyIfRgjFLykjzelIKlxLSlkGp0ca7R07rDDMsTxRDQ1_gbU2MobCGmUo-vdIL9nKkDXzFHONAF6m7eYio0Jgp0N5cl1tZfz9GtXXGboeLYyhEf35BXAQ4F357Pa_Lzy92P2_vu4fvXb7c3D53fcFY7j8opw4cN9_0o2SC0cxqcEEEycCb0zCMDRJByABwdd0FILQ2w4DeAvr8mH0-5S55_rViqnWLxeDhAwnktti1E97rnkjf0wz_ofl5zatNZ0QutmdJGNao7UT7PpWQMdslxgvxkObNHJbYpsUcl9qik8e_PqaubcHym_zpogDkBYa1rxuIjJo_2dGs_oo8J_xP-B3M6nX0</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Chen, Yong</creator><creator>Song, Boqiang</creator><creator>Shan, Xue</creator><creator>Qin, Yanhong</creator><creator>Wang, Liang</creator><creator>Wang, Hongyuan</creator><creator>Lu, Zhongyi</creator><creator>Liu, Lin</creator><creator>Yin, Danping</creator><creator>Han, Xuelin</creator><creator>Zhao, Jingya</creator><creator>Tian, Shuguang</creator><creator>Chen, Fangyan</creator><creator>Su, Xueting</creator><creator>Huang, Liuyu</creator><creator>Li, Qi</creator><creator>Grundmann, Hajo</creator><creator>Zhang, Hong</creator><creator>Han, Li</creator><general>Future Medicine Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>EHMNL</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20170801</creationdate><title>Assessing antibiotic therapy effectiveness against the major bacterial pathogens in a hospital using an integrated index</title><author>Chen, Yong ; Song, Boqiang ; Shan, Xue ; Qin, Yanhong ; Wang, Liang ; Wang, Hongyuan ; Lu, Zhongyi ; Liu, Lin ; Yin, Danping ; Han, Xuelin ; Zhao, Jingya ; Tian, Shuguang ; Chen, Fangyan ; Su, Xueting ; Huang, Liuyu ; Li, Qi ; Grundmann, Hajo ; Zhang, Hong ; Han, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-ce7b791641c3d50628bb8ab22f50ab9f30ce0aeea556aedb1bf25859a0fc4aec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acinetobacter - 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Academic</collection><jtitle>Future microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yong</au><au>Song, Boqiang</au><au>Shan, Xue</au><au>Qin, Yanhong</au><au>Wang, Liang</au><au>Wang, Hongyuan</au><au>Lu, Zhongyi</au><au>Liu, Lin</au><au>Yin, Danping</au><au>Han, Xuelin</au><au>Zhao, Jingya</au><au>Tian, Shuguang</au><au>Chen, Fangyan</au><au>Su, Xueting</au><au>Huang, Liuyu</au><au>Li, Qi</au><au>Grundmann, Hajo</au><au>Zhang, Hong</au><au>Han, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing antibiotic therapy effectiveness against the major bacterial pathogens in a hospital using an integrated index</atitle><jtitle>Future microbiology</jtitle><addtitle>Future Microbiol</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>12</volume><issue>10</issue><spage>853</spage><epage>866</epage><pages>853-866</pages><issn>1746-0913</issn><eissn>1746-0921</eissn><abstract>To assess the effectiveness of antibiotic therapy against five indicator bacteria in a Chinese hospital using an index-based approach.
The study population comprises 1031 patients who had one clinically significant bacterial isolate in 2008, 2010 and 2013. Drug resistance index (DRI) based on pathogens was calculated.
The adaptive DRIs for
decreased, while both adaptive and fixed DRIs for
spp. increased from 2008 to 2013. The adaptive DRIs for
increased from 2008 to 2013, while the fixed DRIs exhibited a decreasing trend.
DRI could be used to demonstrate the changes of antimicrobial resistance and prescribing over time as a result of evolutionary processes and governmental regulatory interference.</abstract><cop>England</cop><pub>Future Medicine Ltd</pub><pmid>28699775</pmid><doi>10.2217/fmb-2017-0025</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Acinetobacter - drug effects Anti-Bacterial Agents - administration & dosage Anti-Bacterial Agents - pharmacology Anti-Bacterial Agents - therapeutic use Antibiotics Antimicrobial agents Antimicrobial resistance Bacteria Bacteria - drug effects Bacteria - pathogenicity Bacterial infections Beijing Cross Infection - drug therapy Drug resistance drug resistance index Drug Resistance, Bacterial - drug effects E coli Escherichia coli - drug effects Ethics Hospitalization Hospitals Humans inadequate antibiotic treatment Infection Control Klebsiella pneumoniae - drug effects Laboratories Microbial Sensitivity Tests nosocomial infection Pathogens Patients Pneumonia Population studies Prescription Drugs Pseudomonas aeruginosa - drug effects Public health Staphylococcus aureus - drug effects Staphylococcus infections Urogenital system |
| title | Assessing antibiotic therapy effectiveness against the major bacterial pathogens in a hospital using an integrated index |
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