Real-time monitoring of antimicrobial use density to reduce antimicrobial resistance through the promotion of antimicrobial heterogeneity in a haematology/oncology unit.

Shogo Murata, Toshiki Mushino, Hiroki Hosoi, Kodai Kuriyama, Miwa Kurimoto, Juri Watanuki, Akinori Nishikawa, Takashi Sonoki, Hideki Nakakuma, Nobuyoshi Hanaoka
Author Information
  1. Shogo Murata: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  2. Toshiki Mushino: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  3. Hiroki Hosoi: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  4. Kodai Kuriyama: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  5. Miwa Kurimoto: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  6. Juri Watanuki: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  7. Akinori Nishikawa: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  8. Takashi Sonoki: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  9. Hideki Nakakuma: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan.
  10. Nobuyoshi Hanaoka: Department of Haematology/Oncology, Wakayama Medical University, Wakayama, Japan nhanaoka@wakayama-med.ac.jp.

Abstract

BACKGROUND: In haematology/oncology units, the frequent and heavy use of broad-spectrum antimicrobials can lead to outbreaks of antimicrobial resistance. Increasing antimicrobial heterogeneity might be a useful strategy for preventing such resistance.
METHODS: A real-time antimicrobial use density (AUD) monitoring system (RAMS) was developed to precisely assess antimicrobial heterogeneity. This study was prospectively conducted over a 39 month period and involved 970 patients. Patient-specific antimicrobial therapy with five carbapenems (meropenem, biapenem, panipenem/betamipron, imipenem/cilastatin and doripenem) and four non-carbapenems (piperacillin/tazobactam, ceftazidime, cefozopran and cefepime) was prescribed in the first 12 months. A first-line antimicrobial was selected from among nine antimicrobials according to a predetermined schedule for the next 15 months. AUD-based antimicrobial selection was implemented using the RAMS during the last 12 months. We compared our findings for the RAMS period with those for the other periods to determine the effects of RAMS-based AUD monitoring on antimicrobial resistance.
RESULTS: The mean absolute difference between the AUD values of carbapenems and non-carbapenems (AUD deviation) was 6.0% in the RAMS period (range 0.5%-15.8%) and antimicrobial heterogeneity (AUD deviation <10%) was achieved in 10 out of 12 months (83.3%). Furthermore, during the RAMS period, AUD deviation was significantly smaller and the frequency of outbreaks of antimicrobial-resistant strains other than Stenotrophomonas maltophilia was significantly decreased (from 7.9% to 3.5%; P < 0.01) compared with the other periods.
CONCLUSIONS: The longer period of stable antimicrobial heterogeneity achieved by the RAMS strengthened its preventive effects against antimicrobial resistance. Optimal antimicrobial heterogeneity based on real-time AUD monitoring could reduce the frequency of outbreaks of antimicrobial resistance.

MeSH Term

Adolescent
Adult
Aged
Aged, 80 and over
Anti-Bacterial Agents
Bacterial Infections
Drug Resistance, Bacterial
Drug Utilization
Female
Hematologic Neoplasms
Humans
Male
Middle Aged
Organizational Policy
Prospective Studies
Young Adult

Chemicals

Anti-Bacterial Agents

Word Cloud

Created with Highcharts 10.0.0antimicrobialAUDresistanceheterogeneityRAMSperiodmonitoringmonthsuseoutbreaks12deviationhaematology/oncologyantimicrobialsreal-timedensitycarbapenemsnon-carbapenemscomparedperiodseffectsachievedsignificantlyfrequencyreduceBACKGROUND:unitsfrequentheavybroad-spectrumcanleadIncreasingmightusefulstrategypreventingMETHODS:systemdevelopedpreciselyassessstudyprospectivelyconducted39monthinvolved970patientsPatient-specifictherapyfivemeropenembiapenempanipenem/betamipronimipenem/cilastatindoripenemfourpiperacillin/tazobactamceftazidimecefozoprancefepimeprescribedfirstfirst-lineselectedamongnineaccordingpredeterminedschedulenext15AUD-basedselectionimplementedusinglastfindingsdetermineRAMS-basedRESULTS:meanabsolutedifferencevalues60%range05%-158%<10%10833%Furthermoresmallerantimicrobial-resistantstrainsStenotrophomonasmaltophiliadecreased79%35%P < 001CONCLUSIONS:longerstablestrengthenedpreventiveOptimalbasedReal-timepromotionunit

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