Evidence map›Paper›PMID 26541549›Full record

ArticleAnnals of clinical microbiology and antimicrobials2015

Spectrum adequacy of antibiotic regimens for secondary peritonitis: a retrospective analysis in intermediate and intensive care unit patients.

Cathérine L Steinbach, Christoph Töpper, Thomas Adam, Martin G Kees

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Review
  3. Guidelines for Antibiotics Prescription in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  4. Review
  5. Optimized Treatment of Nosocomial Peritonitis.Antibiotics (Basel, Switzerland) · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. The Bucharest ESTES consensus statement on peritonitis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2020
    Review
  10. Guidelines for Antibiotic Prescription in Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2019
    Article
  11. Article
  12. Review
  13. Review
  14. Bacterial and Antibiotic Sensitivity Pattern in Secondary Peritonitis.Journal of the West African College of Surgeons
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Cathérine L SteinbachDepartment of Anesthesiology and Intensive Care, Charité Universitätsmedizin Berlin-Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin, Germany. catherine.steinbach@charite.de.
Christoph TöpperDepartment of Anesthesiology and Intensive Care, Charité Universitätsmedizin Berlin-Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin, Germany. christoph.toepper@charite.de.
Thomas AdamLabor Berlin GmbH, Department of Microbiology, Clinical Consulting, Sylter Str. 2, 13353, Berlin, Germany. thomas.adam@laborberlin.com.
Martin G KeesDepartment of Anesthesiology and Intensive Care, Charité Universitätsmedizin Berlin-Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin, Germany. martin.kees@web.de.
Franklin University · USUnited States Department of Labor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSecondary peritonitis requires surgical source control and adequate antimicrobial treatment. Antimicrobial regimens are usually selected according to local susceptibility data of individual pathogens against single agents, but this neglects both the polymicrobial nature of the infection and the use of combination therapy. We analysed the probability of common regimens to cover all relevant pathogens isolated in one patient ("spectrum adequacy rate", SAR) in a real-life data set.

methodsData from 242 patients with secondary peritonitis (88 community acquired, 154 postoperative cases) treated in our IMCU/ICU were obtained retrospectively. The relative frequency of pathogens, resistance rates and the SAR were analysed using the free software R.

resultsEnterococci were isolated in 47.1 % of all patients, followed by Escherichia coli (42.6 %), other enterobacteriaceae (33.1 %), anaerobes (29.8 %) and Candida spp. (28.9 %). Resistance patterns were consistent with general surveillance data from our hospital. The susceptibility rates and SAR were lower in postoperative than in community acquired cases. The following regimens yielded a SAR > 95 % when enterobacteriaceae only were considered: piperacillin/tazobactam + gentamicin, cefotaxim (only for community acquired cases), cefotaxim + gentamicin, meropenem, tigecycline + gentamicin or tigecycline + ciprofloxaxin. When enterococci were also considered, all betalactam based regimens required combination with vancomycin or linezolid for a SAR > 95 %, whereas TGC based regimens were not compromised. As for Candida spp., the SAR of fluconazole was 81.9-87.5 %.

conclusionsThis study demonstrates a rational approach to assess the adequacy of antimicrobial regimens in secondary peritonitis, which may help to adjust local guidelines or to select candidate regimens for clinical studies.

Indexed as

Microbial Sensitivity TestsAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsAntifungal AgentsBacterial InfectionsCandidiasisFemaleHumansIntensive Care UnitsMaleMiddle AgedPeritonitisRetrospective StudiesAnti-Bacterial AgentsAntifungal Agents

Identifiers

PMID26541549
PMCPMC4635547
OpenAlexW2129300500

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Registered trials

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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.