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Erschienen in: Critical Care 1/2019

Open Access 01.12.2019 | Letter

Quality and quantity of sample size is crucial in clinical studies to exclude association: antimicrobial exposure and the risk of delirium in critically ill patients

verfasst von: Rashid Nadeem, Zainab Ameer Obeida, Sahish Kamat, Ahmed Nazir Elsousi

Erschienen in: Critical Care | Ausgabe 1/2019

To the Editor:
We read with great interest the article published in a recent issue of Critical Care by Grahl et al. [1]. The authors illustrated that there is no association between delirium and cefepime, penicillin, carbapenems, fluoroquinolones, or macrolides.
We would like to point out following concerns about this study.
We believe sample was not representative of general population and sample size was not powered enough to draw these conclusions. Study sample does not include all consecutive subjects from a time frame; a large portion of subjects 96 records (18%) were excluded because medication data was not available. Intention to include analysis might change results significantly. Authors did not mention if excluded patients’ profile was similar to included patients’ profile. Delirium was documented in 318 (76%), which is significantly more than expected from a typical ICU which suggests that sample may not be representative of general population. Sample predominantly comprises of Caucasian population (88%) so results may not be applicable to African American population.
This study found no association between delirium and cefipime. Although the analysis is performed for cefipime as individual drug, actual number of patients treated with cefipime was not provided; the key component to determine this association. Most likely no association was found as the number was inadequate. This is a common phenomenon; a negative study because of small sample size. Had they analyzed all patients on all cephalosporins including cefepime as one group, they may find association. Conversely they analyzed all other antibiotics (vancomycin, antifungal, antiviral and others) as one group and found them to be associated with delirium. Had they analyzed these antibiotics individually (like cefepime) these antibiotics will also not be associated with delirium as well (sampling error). We believe sample size for patients with cefipime may not be enough to exclude its association with delirium. Moreover median days of use of cefipime was 4.5 days in this study which suggest that physicians might have stopped the drug because of delirium as it is known that delirious effect from cefipime manifest after about 4 days of utilization. It will be interesting if data is available regarding how many patients were on cefipime and how many of them stopped cefepime because of delirium.
Sample also exclude patients with any neurologic disorder, yet 56% were comatose, and analysis showed no association of delirium with sedatives or opiates. Again it only suggests that sample is not large enough to answer these questions. We have to ask ourselves. Was study powered enough to exclude cefipime as associated factor for delirium?
We would also like to express clearly that previously published data which associate cefipime with delirium is also small, heterogeneous and insufficient and mainly comprise of case reports, case series and meta-analysis [2, 3]. To our knowledge, there is no randomized, prospective trial till date, therefore we believe this question remained unanswered until we have a well design study that is powered enough to answer this important clinical question. Clinicians are advised to exercise their best clinical judgement.

Authors’ response

Jessica J. Grahl, Joanna L. Stollings and Mayur B. Patel
We read with interest the comments by Nadeem et al. regarding the results of a nested cohort study from the BRAIN-ICU Study evaluating the association between antimicrobial class exposure in critically ill patients and the risk of delirium [4, 5]. After multiple covariate adjustment, only first- to third-generation cephalosporins were associated with delirium.
We agree that the sample size in this study [1] was small and an adequately powered study may provide different findings. However, we believe our cohort was truly reflective of the general ICU population. Delirium occurred in 308 (74%) of patients in this cohort, which was appropriate for the study time frame (March 2007–May 2010). Delirium recognition and prevention strategies have improved since guideline publications and the ICU Liberation ABCDEF Bundle implementation [6, 7].
Cefepime was utilized in 64 (15%) of the patients that received antimicrobial therapy. This information is listed in supplementary data (Table S1) [4]. We conducted an unpublished statistical analysis looking at beta-lactams as a class and found a statistically significant difference, which is why sub-class analysis was conducted. In order to prevent statistical model overfitting, it was necessary to include a class of “other antimicrobials”, as opposed to individualized therapy and covariate adjustments for these multitude of antibiotics without a strong past scientific association with delirium. Although our approach is imperfect, when studying cefepime, all other past studies lack adjustment for competing classes of antibiotics.
It is unlikely that providers would have discontinued therapy due to the incidence of delirium alone. At the time this study was conducted, there was no literature identifying an association between cefepime and delirium based on CAM-ICU monitoring. Rather, we credit the median duration of cefepime of only 4.5 days to twenty-first century antimicrobial stewardship.
We also excluded patients with severe neurological disease, which is common practice in many studies evaluating an association between pharmacotherapy and delirium [5, 8] We agree the findings may not be extrapolatable to this patient population. We did not identify an association with use of analgesics and sedatives in the ICU in our proportional odds model. This is most likely because the covariates were binary outcomes measured on ICU admission.
The authors agree with Nadeem et al. that the previously published data associating cefepime with delirium are small, heterogenous, and mostly case reports and series. The current study is the first to date that sought to find an association between antimicrobial therapy and delirium using the CAM-ICU assessment. We agree that future adequately powered studies are warranted. However, we remain leery of reflexively shifting active antimicrobial strategies simply because of the occurrence of delirium.

Acknowledgements

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Competing interests

The authors declare that they have no competing interests.

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Literatur
1.
Zurück zum Zitat Grahl JJ, Stollings JL, Rakhit S, Person AK, Wang L, Thompson JL, Pandharipande PP, Ely EW, Patel MB. Antimicrobial exposure and the risk of delirium in critically ill patients. Crit Care. 2018;22(1):337.CrossRef Grahl JJ, Stollings JL, Rakhit S, Person AK, Wang L, Thompson JL, Pandharipande PP, Ely EW, Patel MB. Antimicrobial exposure and the risk of delirium in critically ill patients. Crit Care. 2018;22(1):337.CrossRef
2.
Zurück zum Zitat Appa AA, Jain R, Rakita RM, Hakimian S, Pottinger PS. Characterizing cefepime neurotoxicity: a systematic review. Open Forum Infect Dis. 2017;4(4):ofx170 US: Oxford University Press.CrossRef Appa AA, Jain R, Rakita RM, Hakimian S, Pottinger PS. Characterizing cefepime neurotoxicity: a systematic review. Open Forum Infect Dis. 2017;4(4):ofx170 US: Oxford University Press.CrossRef
3.
Zurück zum Zitat Payne LE, Gagnon DJ, Riker RR, Seder DB, Glisic EK, Morris JG, Fraser GL. Cefepime-induced neurotoxicity: A systematic review. Crit Care. 2017;21(1):276.CrossRef Payne LE, Gagnon DJ, Riker RR, Seder DB, Glisic EK, Morris JG, Fraser GL. Cefepime-induced neurotoxicity: A systematic review. Crit Care. 2017;21(1):276.CrossRef
Metadaten
Titel
Quality and quantity of sample size is crucial in clinical studies to exclude association: antimicrobial exposure and the risk of delirium in critically ill patients
verfasst von
Rashid Nadeem
Zainab Ameer Obeida
Sahish Kamat
Ahmed Nazir Elsousi
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
Critical Care / Ausgabe 1/2019
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-019-2381-1

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