Evidence map›Paper›PMID 30598819›Full record

ArticleAntimicrobial resistance and infection control2018

Antimicrobial consumption in five adult intensive care units: a 33-month surveillance study.

Hanan H Balkhy, Aiman El-Saed, Ashraf El-Metwally, Yaseen M Arabi, Sameera M Aljohany, Muayed Al Zaibag, Salim Baharoon, Adel F Alothman

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Investigating the Variability among Indicators for Quantifying Antimicrobial Use in the Intensive Care Units: Analysis of Real-world Evidence.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Quantifying the effect of in-hospital antimicrobial use on the development of colistin-resistantEuropean journal of hospital pharmacy : science and practice · 2022
    Article
  10. Article
  11. Article
  12. Evaluating the appropriateness of carbapenem and piperacillin-tazobactam prescribing in a tertiary care hospital in Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    Article
  13. Approach to the Control of Antimicrobial Resistance: Are We Missing the Plot?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Article
  14. Article
  15. 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

8 authors.

Hanan H Balkhy1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Aiman El-Saed1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Ashraf El-Metwally1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Yaseen M Arabi1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Sameera M Aljohany1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Muayed Al ZaibagCardiac Center & Cardiac Sciences, KAMC, MNGHA, Riyadh, Saudi Arabia.
Salim Baharoon1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Adel F Alothman1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Estimating the baseline antimicrobial consumption is extremely important to monitor the impact of antimicrobial stewardship activities that aim to reduce the burden and cost of antimicrobial consumption. Objectives: To quantify service-specific antimicrobial consumption using different metrics. Methods: A surveillance study was conducted at King Abdulaziz Medical City, Riyadh, Saudi Arabia, between October 2012 and June 2015 in five adult intensive care units (ICUs). Consumption data were collected manually on a daily basis by infection control practitioners. Data were presented as defined daily dose (DDD), days of therapy (DOT) per 1000 patient days, and frequency of daily consumption. Results: A total of 43,970 DDDs and 46,940 DOTs were monitored during 54,116 patient-days. For the most frequently consumed antimicrobials, the consumption of carbapenems, piperacillin/tazobactam, vancomycin, and colistin (respectively) in all ICUs combined were 255.9, 134.3, 98.2, and 13.6 DDDs per 1000 patient-days and 235.7, 145.9, 129.5, and 117.5 DOTs per 1000 patient-days. For the frequency of daily consumption, carbapenems were the most frequently consumed antimicrobial group in medical/surgical, burn, and step-down ICUs while piperacillin/tazobactam was the most frequently consumed antimicrobial in neuro-surgical and cardio-thoracic ICUs. Conclusion: High consumption of broad-spectrum antimicrobial agents such as meropenem and piperacillin/tazobactam is observed in multiple ICUs in a tertiary care hospital. Meropenem consumption is considerably higher than similar ICUs internationally. Future studies focusing on concurrent monitoring of antimicrobial resistance and identifying patient and physician characteristics associated with specific prescription patterns may help in improving judicious antimicrobial consumption.

Indexed as

AdultAnti-Bacterial AgentsAntimicrobial StewardshipCarbapenemsColistinCommunicable DiseasesCost-Benefit AnalysisDrug UtilizationFemaleHumansIntensive Care UnitsMaleMeropenemMiddle AgedPiperacillin, Tazobactam Drug CombinationPopulation SurveillanceAnti-Bacterial AgentsCarbapenemsColistinMeropenemPiperacillin, Tazobactam Drug CombinationVancomycinAntimicrobial agentsAntimicrobial resistanceConsumptionDays of therapyDefined daily doseSaudi Arabia

Identifiers

PMID30598819
PMCPMC6302414

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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.