The Impact of Timing of Antibiotics on Outcomes in Severe Sepsis and Septic Shock: A Systematic Review and Meta-Analysis*
Open accessAbstract
OBJECTIVES: We sought to systematically review and meta-analyze the available data on the association between timing of antibiotic administration and mortality in severe sepsis and septic shock. DATA SOURCES: A comprehensive search criteria was performed using a predefined protocol. INCLUSION CRITERIA: adult patients with severe sepsis or septic shock, reported time to antibiotic administration in relation to emergency department triage and/or shock recognition, and mortality. EXCLUSION CRITERIA: immunosuppressed populations, review article, editorial, or nonhuman studies. DATA EXTRACTION: Two reviewers screened abstracts with a third reviewer arbitrating. The effect of time to antibiotic administration on mortality was based on current guideline recommendations: 1) administration within 3 hours of emergency department triage and 2) administration within 1 hour of severe sepsis/septic shock recognition. Odds ratios were calculated using a random effect model. The primary outcome was mortality. DATA SYNTHESIS: A total of 1,123 publications were identified and 11 were included in the analysis. Among the 11 included studies, 16,178 patients were evaluable for antibiotic administration from emergency department triage. Patients who received antibiotics more than 3 hours after emergency department triage (< 3 hr reference) had a pooled odds ratio for mortality of 1.16 (0.92-1.46; p = 0.21). A total of 11,017 patients were evaluable for antibiotic administration from severe sepsis/septic shock recognition. Patients who received antibiotics more than 1 hour after severe sepsis/shock recognition (< 1 hr reference) had a pooled odds ratio for mortality of 1.46 (0.89-2.40; p = 0.13). There was no increased mortality in the pooled odds ratios for each hourly delay from less than 1 to more than 5 hours in antibiotic administration from severe sepsis/shock recognition. CONCLUSION: Using the available pooled data, we found no significant mortality benefit of administering antibiotics within 3 hours of emergency department triage or within 1 hour of shock recognition in severe sepsis and septic shock. These results suggest that currently recommended timing metrics as measures of quality of care are not supported by the available evidence.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Diagnostic delays in BSIs contribute to longer hospital stays and higher healthcare burdens.
“These diagnostic delays not only exacerbate the risk of multiorgan failure but also contribute to longer hospital stays and higher healthcare burdens [8, 9].”
From Early prediction of bloodstream infections in ICU patients using machine learning methods based on routine laboratory parameters (2025) · cites this paper as [9]
The Introduction says severe sepsis and septic shock are associated with health care costs, but does not link those costs to diagnostic delays. The Discussion addresses delayed recognition and antibiotic timing; neither it nor the searched passages report that diagnostic delays in bloodstream infections lengthen hospital stays or increase healthcare burden (searched: diagnostic delays, length of stay, hospital costs). (LLM, conf=0.76)
Experimental — accuracy not yet measuredDiagnostic delays in BSIs exacerbate the risk of multiorgan failure.
“These diagnostic delays not only exacerbate the risk of multiorgan failure but also contribute to longer hospital stays and higher healthcare burdens [8, 9].”
From Early prediction of bloodstream infections in ICU patients using machine learning methods based on routine laboratory parameters (2025) · cites this paper as [9]
The Introduction and Discussion address delays in antibiotic administration for severe sepsis and septic shock, not delays in diagnosing bloodstream infections. The Discussion mentions organ dysfunction but does not link diagnostic delay to an increased risk of multiorgan failure. Searches for diagnostic delay, bloodstream infection, and organ failure found no passage making that link. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575 · see citing works
Kumar, A., Roberts, D., Wood, K. E., Light, B., Parrillo, J. E., Sharma, S., Suppes, R., Feinstein, D., Zanotti, S., Taiberg, L., et al. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000217961.75225.e9 · Cited by 6,109 · see citing works
A randomized trial of protocol-based care for early septic shock.
The ProCESS Investigators (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1401602 · Cited by 2,414 · see citing works
Gaieski, D. F., Mikkelsen, M. E., Band, R. A., Pines, J. M., Massone, R., Furia, F. F., Shofer, F. S., & Goyal, M. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181cc4824 · Cited by 970 · see citing works
Yokota, P. K. O., Marra, A. R., Martino, M. D. V., Victor, E. S., Durão, M. S., Edmond, M. B., & dos Santos, O. F. P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104475 · Cited by 85 · cited 4× · see citing works
“Significant association with mortality and appropriate antibiotics in 1 hr Gurnani et al (32) ICU TTA and appropriate fluid resuscitation Single center, United States 2006–2007 118 Sepsis recognition 8 Mortality data A sepsis protocol emphasizing early antibiotics and adequate fluids improved clinical outcomes Hitti e…”
InfluentialRyoo, S. M., Kim, W. Y., Sohn, C. H., Seo, D. W., Oh, B. J., Lim, K. S., & Koh, J. W. (2015) · The American Journal of the Medical Sciences · doi:10.1097/maj.0000000000000423 · Cited by 62 · see citing works
Flagged first, then by citations
Research works printed but not linked: 21
- [1]Angus DC Linde-Zwirble WT Lidicker J Clermont G Carcillo J Pinsky MR Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care Crit Care Med 2001 7 29 7 1303 10 11445675
- [2]Wang HE Shapiro NI Angus DC Yealy DM National estimates of severe sepsis in United States emergency departments Crit Care Med 2007 8 35 8 1928 36 17581480
- [3]Rivers E Nguyen B Havstad S Ressler J Muzzin A Knoblich B Peterson E Tomlanovich M Early goal-directed therapy in the treatment of severe sepsis and septic shock N Engl J Med 2001 11 8 345 19 1368 77 11794169
- [4]Jones AE Focht A Horton JM Kline JA Prospective external validation of the clinical effectiveness of an emergency department-based early goal-directed therapy protocol for severe sepsis and septic shock Chest 2007 8 132 2 425 32 17573521 PMC2703721
- [5]Jones AE Brown MD Trzeciak S Shapiro NI Garrett JS Heffner AC Kline JA The effect of a quantitative resuscitation strategy on mortality in patients with sepsis: a meta-analysis Crit Care Med 2008 10 36 10 2734 9 18766093 PMC2737059
- [6]Nguyen HB Corbett SW Steele R Banta J Clark RT Hayes SR Edwards J Cho TW Wittlake WA Implementation of a bundle of quality indicators for the early management of severe sepsis and septic shock is associated with decreased mortality Crit Care Med 2007 4 35 4 1105 12 17334251
- [7]Puskarich MA Marchick MR Kline JA Steuerwald MT Jones AE One year mortality of patients treated with an emergency department based early goal directed therapy protocol for severe sepsis and septic shock: a before and after study Crit Care 2009 13 5 R167 19845956 PMC2784398
- [8]Ferrer R Martin-Loeches I Phillips G Osborn TM Townsend S Dellinger RP Artigas A Schorr C Levy MM Empiric antibiotic treatment reduces mortality in severe sepsis and septic shock from the first hour: results from a guideline-based performance improvement program Crit Care Med 2014 8 42 8 1749 55 24717459
- [12]Venkatesh AK Avula U Bartimus H Reif J Schmidt MJ Powell ES Time to antibiotics for septic shock: evaluating a proposed performance measure Am J Emerg Med 2013 4 31 4 680 3 23380106
- [13]Dellinger RP Levy MM Rhodes A Annane D Gerlach H Opal SM Sevransky JE Sprung CL Douglas IS Jaeschke R Osborn TM Nunnally ME Townsend SR Reinhart K Kleinpell RM Angus DC Deutschman CS Machado FR Rubenfeld GD Webb SA Beale RJ Vincent JL Moreno R Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012 Crit Care Med 2013 2 41 2 580 637 23353941
- [14]Vilella AL Seifert CF Timing and appropriateness of initial antibiotic therapy in newly presenting septic patients Am J Emerg Med 2014 1 32 1 7 13 24139996
- [18]Borenstein M Hedges LV Higgines JPT Rothstein HR Fixed-Effect Versus Random-Effects Models Introduction to Meta-Analysis John Wiley & Sons, Ltd 2009
- [19]Hutchison RW Govathoti DA Fehlis K Zheng Q Cottrell JH Franklin N Montgomery GM Improving severe sepsis outcomes: cost and time to first antibiotic dose Dimens Crit Care Nurs 2011 9 30 5 277 82 21841424
- [20]Siddiqui S Razzak J Early versus late pre-intensive care unit admission broad spectrum antibiotics for severe sepsis in adults Cochrane Database Syst Rev 2010 10 CD007081 20927754 PMC6516895
- [22]Shenep JL Mogan KA Kinetics of endotoxin release during antibiotic therapy for experimental gram-negative bacterial sepsis J Infect Dis 1984 9 150 3 380 8 6384378
- [23]Peng ZY Wang HZ Srisawat N Wen X Rimmele T Bishop J Singbartl K Murugan R Kellum JA Bactericidal antibiotics temporarily increase inflammation and worsen acute kidney injury in experimental sepsis Crit Care Med 2012 2 40 2 538 43 21926582 PMC3254710
- [24]Lepper PM Held TK Schneider EM Bolke E Gerlach H Trautmann M Clinical implications of antibiotic-induced endotoxin release in septic shock Intensive Care Med 2002 7 28 7 824 33 12122518
- [25]Mignon F Piagnerelli M Van N M Vincent JL Effect of empiric antibiotic treatment on plasma endotoxin activity in septic patients Infection 2014 6 42 3 521 8 24470321
- [26]Villar J Clement JP Stotts J Linnen D Rubin DJ Thompson D Gomez A Fee C Many emergency department patients with severe sepsis and septic shock do not meet diagnostic criteria within 3 hours of arrival Ann Emerg Med 2014 7 64 1 48 54 24680548
- [27]Kirn TJ Weinstein MP Update on blood cultures: how to obtain, process, report, and interpret Clin Microbiol Infect 2013 6 19 6 513 20 23490046
- [28]Kerremans JJ Verboom P Stijnen T Hakkaart-van RL Goessens W Verbrugh HA Vos MC Rapid identification and antimicrobial susceptibility testing reduce antibiotic use and accelerate pathogen-directed antibiotic use J Antimicrob Chemother 2008 2 61 2 428 35 18156278
Cited by
Sorted by citations
Time to treatment and mortality during mandated emergency care for sepsis.
Seymour, C. W., Gesten, F., Prescott, H. C., Friedrich, M. E., Iwashyna, T. J., Phillips, G. S., Lemeshow, S., Osborn, T., Terry, K. M., & Levy, M. M. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1703058 · Cited by 2,225 · see citing works
The timing of early antibiotics and hospital mortality in sepsis.
Liu, V. X., Fielding-Singh, V., Greene, J. D., Baker, J. M., Iwashyna, T. J., Bhattacharya, J., & Escobar, G. J. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201609-1848oc · Cited by 1,006 · see citing works
ED door-to-antibiotic time and long-term mortality in sepsis.
Peltan, I. D., Brown, S. M., Bledsoe, J. R., Sorensen, J., Samore, M. H., Allen, T. L., & Hough, C. L. (2019) · Chest · doi:10.1016/j.chest.2019.02.008 · Cited by 243 · see citing works
for the MEDUSA study group, Bloos, F., Rüddel, H., Thomas-Rüddel, D., Schwarzkopf, D., Pausch, C., Harbarth, S., Schreiber, T., Gründling, M., Marshall, J., et al. (2017) · Intensive Care Medicine · doi:10.1007/s00134-017-4782-4 · Cited by 200 · see citing works
Kalil, A. C., Johnson, D. W., Lisco, S. J., & Sun, J. (2017) · Critical Care Medicine · doi:10.1097/ccm.0000000000002235 · Cited by 138 · see citing works
A Critical Analysis of the Literature on Time-to-Antibiotics in Suspected Sepsis
Weinberger, J., Rhee, C., & Klompas, M. (2020) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiaa146 · Cited by 125 · see citing works
Downing, N. L., Rolnick, J., Poole, S. F., Hall, E., Wessels, A. J., Heidenreich, P., & Shieh, L. (2019) · BMJ Quality & Safety · doi:10.1136/bmjqs-2018-008765 · Cited by 112 · see citing works
on behalf of JAAM FORECAST group, Abe, T., Kushimoto, S., Tokuda, Y., Phillips, G. S., Rhodes, A., Sugiyama, T., Komori, A., Iriyama, H., Ogura, H., et al. (2019) · Critical Care · doi:10.1186/s13054-019-2644-x · Cited by 73 · see citing works
Sepsis prediction model for determining sepsis vs SIRS, qSOFA, and SOFA
Schertz, A. R., Lenoir, K. M., Bertoni, A. G., Levine, B. J., Mongraw-Chaffin, M., & Thomas, K. W. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.29729 · Cited by 78 · see citing works
Rothrock, S. G., Cassidy, D. D., Barneck, M., Schinkel, M., Guetschow, B., Myburgh, C., Nguyen, L., Earwood, R., Nanayakkara, P. W. B., Nannan Panday, R. S., et al. (2020) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2020.04.042 · Cited by 57 · see citing works
Time to antibiotics and the outcome of patients with septic shock: A propensity score analysis.
Ko, B. S., Choi, S.-H., Kang, G. H., Shin, T. G., Kim, K., Jo, Y. H., Ryoo, S. M., Kim, Y.-J., Park, Y. S., Kwon, W. Y., et al. (2020) · The American Journal of Medicine · doi:10.1016/j.amjmed.2019.09.012 · Cited by 42 · see citing works
Philippon, A.-L., Lebal, S., Cancella de Abreu, M., Gerlier, C., Mirò, O., Simon, T., & Freund, Y. (2025) · European Journal of Emergency Medicine · doi:10.1097/mej.0000000000001212 · Cited by 10 · see citing works
Chen, Y., Chen, Z., Xu, D., Li, S., Chen, F., Yu, X., Cai, S., Zeng, C., Ye, X., Yang, J., et al. (2025) · BMC Infectious Diseases · doi:10.1186/s12879-025-11580-4 · Cited by 4 · see citing works
- Authors
- Sterling, S. A., Miller, W. R., Pryor, J., Puskarich, M. A., & Jones, A. E.
- Affiliations
- University of Mississippi Medical Center (US)
- Venue
- Critical Care Medicine
- Published
- 2015-09
- Volume
- 43
- Issue
- 9
- Pages
- 1907-1915
- ISSN
- 0090-3493 (ISSN-L)
- PMC
- PMC4597314
- OpenAlex
- W854296307
- Cited by
- 434
- References
- 6
- Citations by year
- 2026: 20 · 2025: 28 · 2024: 34 · 2023: 38 · 2022: 34 · 2021: 43 · 2020: 52 · 2019: 58 · 2018: 40 · 2017: 45 · 2016: 34 · 2015: 7
- FWCI
- 5.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Critical Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (4r01gm103799-05)
- National Institute of General Medical Sciences ((R01 GM103799), K23GM113041)
- Topics
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Pharmacology › Antibiotics Pharmacokinetics and Efficacy
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
- Keywords
- timing of antibiotic administration, severe sepsis, septic shock, mortality, emergency department triage, shock recognition, quality of care metrics, guideline recommendations
- MeSH terms
- Anti-Bacterial Agents, Emergency Service, Hospital, Humans, Length of Stay, Shock, Septic, Triage, Hospital Mortality, Sepsis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review