Literature DB >> 26297120

Antimicrobial de-escalation in septic cancer patients: is it safe to back down?

Alla Paskovaty1, Stephen M Pastores2, Zivile Gedrimaite3, Natalie Kostelecky2, Elyn R Riedel4, Susan K Seo3.   

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Year:  2015        PMID: 26297120      PMCID: PMC4582078          DOI: 10.1007/s00134-015-4016-6

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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Dear Editor, Antimicrobial stewardship programs (ASP) aim for de-escalation of initial broad-spectrum antibiotics to reduce selective pressure, toxicity, and costs. The literature on antimicrobial de-escalation in septic cancer patients is scarce. We retrospectively examined the frequency and outcomes of antimicrobial de-escalation in 105 adult cancer patients admitted to a 20-bed intensive care unit (ICU) with severe sepsis from the Urgent Care Center (UCC) at Memorial Sloan Kettering Cancer Center, New York, NY between January 2008 and March 2013 (eSupplement Fig. 1). The hospital has an active ASP that developed local sepsis guidelines with the UCC and ICU. De-escalation was defined as discontinuing or narrowing of the regimen by ICU day 5 [1]. Primary outcomes were length of stay (LOS) (ICU, hospital) and all-cause mortality (ICU, hospital, 28-day). Nearly all study patients (96 %) were on empiric combination therapy on ICU admission; 61 (58 %) of 105 patients had therapy de-escalated. The mean number of antibiotics per patient was 3 ± 0.8 in both groups on ICU admission. By ICU day 5, the mean number of antibiotics remained at 3 ± 0.9 in the non de-escalation group, while the mean number of antibiotics dropped to 1.5 ± 0.8 in the de-escalation group. While the average duration of antibiotic therapy was the same for both groups (Table 1), durations of certain antibiotics (e.g., resistant gram-positive agents, anti-pseudomonal beta-lactams, quinolones, metronidazole) were significantly shorter for de-escalated patients (eSupplement Table 1). Initial therapy was appropriate in 58 (97 %) of 60 microbiologically confirmed infections (eSupplement Table 2).
Table 1

Baseline characteristics and outcomes of de-escalation and non de-escalation groups

VariableDe-escalation (N = 61)Non de-escalation (N = 44) P value
Age (years)62.5 (±13.2)61.7 (±12.8)0.7
Gender (male)39 (64 %)28 (64 %)1
Cancer type
 Hematologic24 (39 %)17 (39 %)1
 Solid37 (61 %)27 (61 %)
Neutropenia on ICU admission13 (21 %)11 (26 %)0.64
History of antibiotic allergy15 (25 %)8 (18 %)0.48
Prior history of resistant organism2 (3 %)7 (16 %)0.03
Lactate level (mmol/L) on ICU admission2.4 (±2.1)3.2 (±2.3)0.03
Blood culture on ICU admission that turned positive15 (25 %)7 (16 %)0.34
Time to first antibiotic administration from initial blood culture collection (hours)1.1 (±3)1 (±3)0.86
Concomitant multiple infections10 (16 %)16 (36 %)0.02
Use of MV during ICU stay29 (48 %)22 (50 %)0.84
Use of MV on day 520 (33 %)18 (41 %)0.42
Total MV duration (days) (for those on MV)7.1 (±3.4)10.1 (±6.6)0.18
Use of VP during ICU stay42 (69 %)35 (80 %)0.27
MPM II score on ICU admission0.5 (±0.2)0.5 (±0.3)0.96
SOFA score on ICU admission7.2 (±3.3)8 (±3.4)0.18
SOFA score on ICU day 55.1 (±3.9)7 (±3.5)0.002
Difference between SOFA on day 5 and SOFA on ICU admission−2.1 (±3.5)−1 (±3.5)0.05
Duration of therapy13.3 (±7.2)15.5 (±11.1)0.6
ICU mortality11 (18 %)10 (23 %)0.62
Hospital mortality21 (34 %)15 (34 %)1
28-day mortality24 (39 %)15 (34 %)0.68
ICU LOS8.1 (±4.6)11.2 (±7.4)0.001
Hospital LOS17.1 (±22.9)23.4 (±17.6)0.005

Data are expressed as number (percentage) or mean (±standard deviation). P < 0.05 was considered significant

ICU intensive care unit, LOS length of stay, MV mechanical ventilation, MPM mortality probability model, SOFA sequential organ failure assessment, VP vasopressors

Baseline characteristics and outcomes of de-escalation and non de-escalation groups Data are expressed as number (percentage) or mean (±standard deviation). P < 0.05 was considered significant ICU intensive care unit, LOS length of stay, MV mechanical ventilation, MPM mortality probability model, SOFA sequential organ failure assessment, VP vasopressors The de-escalation group had a lower mean lactate on ICU admission (2.4 ± 2.1 vs 3.2 ± 2.3 mmol/L, P = 0.03), a lower mean SOFA score on ICU day 5 (5.1 ± 3.9 vs 7 ± 3.5, P = 0.002), less history of resistant organisms (3 vs 16 %, P = 0.03), and fewer concomitant multiple infections (16 vs 36 %, P = 0.02) compared to the non de-escalation group. There were no differences in ICU, hospital, or 28-day mortality between the two groups (Table 1). The de-escalation group had shorter ICU (8.1 vs 11.2 days, P = 0.006) and hospital (17.1 vs 23.4 days, P = 0.04) LOS after adjusting for known prognostic factors in a multivariate analysis (eSupplement Table 3). Our frequency of de-escalation (58 %) was higher than that of Mokart et al. (44 %), the only other de-escalation study in septic cancer patients [2]. The dissimilarities in study populations may account for the difference in de-escalation rates between our two cancer centers. In our study, by ICU day 5, the non de-escalation group had a higher mean SOFA score compared to the de-escalated patients, implying slower clinical resolution. One factor that may be influencing the decision to de-escalate is the physician’s perception of the clinical progress of the septic patient, and following serial SOFA scores, or other severity-of-illness measures as suggested by Joung et al. [3], may be useful to de-escalate patients safely. In conclusion, de-escalating antimicrobial therapy in septic cancer patients admitted to the ICU from the UCC was associated with shorter ICU and hospital LOS. No adverse effect of de-escalation on mortality was found. Future sepsis studies should focus on investigating whether de-escalation can definitively improve patient outcomes and/or slow emerging antimicrobial resistance. Supplementary material 1 (DOCX 39 kb)
  3 in total

1.  Elaboration of a consensual definition of de-escalation allowing a ranking of β-lactams.

Authors:  E Weiss; J-R Zahar; P Lesprit; E Ruppe; M Leone; J Chastre; J-C Lucet; C Paugam-Burtz; C Brun-Buisson; J-F Timsit
Journal:  Clin Microbiol Infect       Date:  2015-04-13       Impact factor: 8.067

2.  De-escalation of antimicrobial treatment in neutropenic patients with severe sepsis: results from an observational study.

Authors:  Djamel Mokart; Géraldine Slehofer; Jérôme Lambert; Antoine Sannini; Laurent Chow-Chine; Jean-Paul Brun; Pierre Berger; Ségolène Duran; Marion Faucher; Jean-Louis Blache; Colombe Saillard; Norbert Vey; Marc Leone
Journal:  Intensive Care Med       Date:  2014-01       Impact factor: 17.440

3.  Impact of de-escalation therapy on clinical outcomes for intensive care unit-acquired pneumonia.

Authors:  Mi Kyong Joung; Jeong-a Lee; Soo-Youn Moon; Hae Suk Cheong; Eun-Jeong Joo; Young-Eun Ha; Kyung Mok Sohn; Seung Min Chung; Gee Young Suh; Doo Ryeon Chung; Jae-Hoon Song; Kyong Ran Peck
Journal:  Crit Care       Date:  2011-03-02       Impact factor: 9.097

  3 in total
  17 in total

Review 1.  Focus on immunocompromised patients.

Authors:  Elie Azoulay; Marcio Soares; Dominique Benoit
Journal:  Intensive Care Med       Date:  2016-01-28       Impact factor: 17.440

2.  De-escalation of antimicrobial therapy in critically ill hematology patients: a prospective cohort study.

Authors:  David Schnell; Claire Montlahuc; Fabrice Bruneel; Matthieu Resche-Rigon; Achille Kouatchet; Jean-Ralph Zahar; Michael Darmon; Frédéric Pene; Virginie Lemiale; Antoine Rabbat; François Vincent; Elie Azoulay; Djamel Mokart
Journal:  Intensive Care Med       Date:  2019-02-18       Impact factor: 17.440

3.  De-escalation and discontinuation strategies in high-risk neutropenic patients: an interrupted time series analyses of antimicrobial consumption and impact on outcome.

Authors:  Giulia la Martire; Christine Robin; Nadia Oubaya; Raphaël Lepeule; Florence Beckerich; Mathieu Leclerc; Walid Barhoumi; Andréa Toma; Cécile Pautas; Sébastien Maury; Wiem Akrout; Catherine Cordonnier-Jourdin; Vincent Fihman; Mario Venditti; Catherine Cordonnier
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-07-26       Impact factor: 3.267

4.  Current State of Antimicrobial Stewardship at Solid Organ and Hematopoietic Cell Transplant Centers in the United States.

Authors:  Susan K Seo; Kaming Lo; Lilian M Abbo
Journal:  Infect Control Hosp Epidemiol       Date:  2016-07-26       Impact factor: 3.254

Review 5.  Infectious Disease Complications in Patients with Cancer.

Authors:  Susan K Seo; Catherine Liu; Sanjeet S Dadwal
Journal:  Crit Care Clin       Date:  2020-11-01       Impact factor: 3.598

Review 6.  Antimicrobial Treatment Duration in Sepsis and Serious Infections.

Authors:  Lindsay M Busch; Sameer S Kadri
Journal:  J Infect Dis       Date:  2020-07-21       Impact factor: 5.226

7.  Antimicrobial de-escalation in critically ill patients: a position statement from a task force of the European Society of Intensive Care Medicine (ESICM) and European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Critically Ill Patients Study Group (ESGCIP).

Authors:  Alexis Tabah; Matteo Bassetti; Marin H Kollef; Jean-Ralph Zahar; José-Artur Paiva; Jean-Francois Timsit; Jason A Roberts; Jeroen Schouten; Helen Giamarellou; Jordi Rello; Jan De Waele; Andrew F Shorr; Marc Leone; Garyphallia Poulakou; Pieter Depuydt; Jose Garnacho-Montero
Journal:  Intensive Care Med       Date:  2019-11-28       Impact factor: 17.440

8.  Characteristics and outcomes of anti-infective de-escalation during health care-associated intra-abdominal infections.

Authors:  Philippe Montravers; Pascal Augustin; Nathalie Grall; Mathieu Desmard; Nicolas Allou; Jean-Pierre Marmuse; Jean Guglielminotti
Journal:  Crit Care       Date:  2016-04-07       Impact factor: 9.097

9.  Benefits and unintended consequences of antimicrobial de-escalation: Implications for stewardship programs.

Authors:  Josie Hughes; Xi Huo; Lindsey Falk; Amy Hurford; Kunquan Lan; Bryan Coburn; Andrew Morris; Jianhong Wu
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

10.  Antimicrobial de-escalation in the critically ill patient and assessment of clinical cure: the DIANA study.

Authors:  Liesbet De Bus; Pieter Depuydt; Johan Steen; Sofie Dhaese; Ken De Smet; Alexis Tabah; Murat Akova; Menino Osbert Cotta; Gennaro De Pascale; George Dimopoulos; Shigeki Fujitani; Jose Garnacho-Montero; Marc Leone; Jeffrey Lipman; Marlies Ostermann; José-Artur Paiva; Jeroen Schouten; Fredrik Sjövall; Jean-François Timsit; Jason A Roberts; Jean-Ralph Zahar; Farid Zand; Kapil Zirpe; Jan J De Waele
Journal:  Intensive Care Med       Date:  2020-06-09       Impact factor: 17.440

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