Publication
- Title: Use of procalcitonin to reduce patients' exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial
- Acronym: PRORATA
- Year: 2010
- Journal published in: The Lancet
- Citation: Bouadma L, Luyt C-E, Tubach F, et al. Use of procalcitonin to reduce patients' exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial. Lancet. 2010;375(9713):463-474.
Context & Rationale
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Background
- ICU patients have high empiric antibiotic exposure, with downstream risks including antimicrobial resistance, drug toxicity, Clostridioides difficile infection, and selection of multidrug-resistant organisms.
- Clinical signs, radiology, and routine biomarkers (e.g., C-reactive protein) are often non-specific in critical illness; de-escalation/discontinuation decisions are frequently delayed.
- Procalcitonin (PCT) rises in many bacterial infections and typically falls with source control and effective therapy, offering a biologically plausible “stop signal”.
- Before PRORATA, evidence for PCT-guided stewardship in ICU was limited by small trials, heterogeneity in algorithms/assays, and uncertainty about safety (mortality/non-inferiority).
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Research Question/Hypothesis
- Whether a PCT-guided antibiotic strategy can reduce antibiotic exposure (increase antibiotic-free days) in ICU patients with suspected bacterial infection.
- Whether this strategy is non-inferior for mortality (28-day and 60-day), using a pre-specified non-inferiority margin.
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Why This Matters
- Provides a pragmatic stewardship framework that tests a biomarker-informed discontinuation strategy in a high-risk population where over-treatment is common.
- Directly confronts the “stewardship–safety trade-off” by pairing superiority for antibiotic exposure with non-inferiority for mortality.
- Informs later trial designs, guideline recommendations, and implementation programmes around biomarker-supported antibiotic discontinuation.
Design & Methods
- Research Question: In critically ill adults with suspected bacterial infection, does a PCT-guided antibiotic algorithm reduce antibiotic exposure while remaining non-inferior for mortality versus standard care?
- Study Type: Multicentre, randomised, controlled, parallel-group, open-label, investigator-initiated trial in seven French ICUs; allocation stratified by centre with variable block sizes; blinded expert adjudication of infectious outcomes.
- Population:
- Setting: Adult ICUs (France); patients enrolled at ICU admission or during ICU stay when a new infectious episode was suspected.
- Inclusion criteria: Age ≥18 years; suspected bacterial infection prompting consideration of systemic antibiotics; expected ICU stay >3 days.
- Key exclusions: Expected ICU stay <3 days; Simplified Acute Physiology Score (SAPS) II >65; receipt of antibiotics for >24 hours before eligibility assessment; anticipated need for long-term antibiotic therapy; pregnancy; do-not-resuscitate order at inclusion; bone marrow transplant; AIDS; cystic fibrosis; medullary thyroid carcinoma.
- Intervention:
- PCT-guided strategy: PCT measured at each suspected infectious episode up to day 28 and daily during antibiotic therapy; results communicated to clinicians within ~2 hours of sampling.
- Initiation guidance (PCT at infection suspicion): <0.25 µg/L strongly discouraged; 0.25 to <0.5 discouraged; 0.5 to <1 encouraged; ≥1 strongly encouraged.
- Continuation/discontinuation guidance (during therapy): stopping strongly encouraged if PCT <0.25; stopping encouraged if PCT 0.25 to <0.5 or if PCT decreased by ≥80% from peak; continuation encouraged if PCT ≥0.5 with a decrease <80% from peak; change of antibiotics strongly encouraged if PCT increased compared with peak and remained ≥0.5.
- Clinical override: The algorithm could be overridden for syndromes requiring immediate treatment (e.g., septic shock, meningitis) and where clinical judgement indicated ongoing instability despite low PCT.
- Comparison:
- Standard-care antibiotic management based on contemporary guidelines and clinician judgement.
- PCT values were not available to treating clinicians in the control group.
- Blinding: Open-label for treating clinicians and patients; an expert committee blinded to allocation adjudicated relapse and superinfection and confirmed infectious episodes.
- Statistics: Power calculations: (1) 133 patients per group to detect a 3-day increase in antibiotic-free days (assumed mean 12, SD 7.5) with 90% power at a 5% significance level; (2) 300 patients per group to exclude a 10% absolute mortality difference (assumed mortality 35%) with 80% power at a 10% alpha risk (non-inferiority assessed using a two-sided 90% CI); planned enrolment 630. Primary analysis: intention-to-treat.
- Follow-Up Period: Antibiotic exposure and infectious outcomes through day 28; mortality assessed at day 28 and day 60.
Key Results
This trial was not stopped early. Recruitment proceeded to the planned sample size; 630 were randomised and 621 were analysed in the intention-to-treat population (307 PCT-guided; 314 control).
| Outcome | PCT-guided strategy | Standard care | Effect | p value / 95% CI | Notes |
|---|---|---|---|---|---|
| All-cause mortality (day 28) | 65/307 (21.2%) | 64/314 (20.4%) | Absolute difference 0.8% | 90% CI -4.6 to 6.2; P=Not reported | Non-inferiority margin 10%; point estimate favoured control. |
| All-cause mortality (day 60) | 92/307 (30.0%) | 82/314 (26.1%) | Absolute difference 3.8% | 90% CI -2.1 to 9.7; P=Not reported | Non-inferiority margin 10%; confidence interval allows clinically important harm up to 9.7%. |
| Days without antibiotics (day 1–28) | 14.3 (SD 9.1) | 11.6 (SD 8.2) | Mean difference 2.7 days | 95% CI 1.4 to 4.1; P<0.0001 | Co-primary endpoint (superiority); favoured PCT-guided. |
| Antibiotic exposure (days of therapy, day 1–28) | 10.3 (SD 7.3) | 13.3 (SD 8.7) | Mean difference -3.0 days | 95% CI -4.1 to -1.8; P<0.0001 | Pragmatic reduction in total antibiotic days per patient. |
| Relapse (day 1–28) | 20/307 (6.5%) | 16/314 (5.1%) | Absolute difference 1.4% | 95% CI -2.3 to 5.1; P=0.45 | Adjudicated; no evidence of excess relapse. |
| Superinfection (day 1–28) | 106/307 (34.5%) | 97/314 (30.9%) | Absolute difference 3.6% | 95% CI -3.8 to 11.0; P=0.29 | High event rates; imprecision permits moderate harm or benefit. |
| Multidrug-resistant bacteria (day 1–28) | 55/307 (17.9%) | 52/314 (16.6%) | Absolute difference 1.3% | 95% CI -4.6 to 7.2; P=0.67 | No reduction detected despite lower antibiotic exposure. |
| SOFA score (day 28) | 1.5 (SD 3.0) | 0.9 (SD 2.4) | Mean difference 0.6 | 95% CI 0.0 to 1.1; P=0.0370 | Statistically higher in PCT-guided group; clinical significance uncertain. |
| ICU length of stay from inclusion | 15.9 (SD 16.1) days | 14.4 (SD 14.1) days | Mean difference 1.5 days | 95% CI -0.9 to 3.9; P=0.23 | No evidence of shorter LOS despite fewer antibiotics. |
| Duration of first antibiotic episode (overall) | 6.1 (SD 6.0) days | 9.9 (SD 7.1) days | Mean difference -3.8 days | 95% CI -4.8 to -2.7; P<0.0001 | Largest between-group separation occurred in episode duration (stopping decisions). |
| Duration of first episode: ventilator-associated pneumonia | 7.3 (SD 5.3) days | 9.4 (SD 5.7) days | Mean difference -2.1 days | 95% CI -4.0 to -0.3; P=0.0210 | Syndrome-level reduction consistent with stewardship direction of effect. |
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- PCT guidance increased antibiotic-free days by 2.7 (95% CI 1.4 to 4.1) and reduced total antibiotic exposure by 3.0 days (95% CI -4.1 to -1.8), without clear differences in relapse, superinfection, multidrug resistance, or length of stay.
- Mortality estimates were imprecise: day-60 mortality was numerically higher in the PCT group (30.0% vs 26.1%) with a 90% CI allowing harm up to 9.7%.
- Clinicians frequently overrode algorithm advice in both arms, yet substantial separation in antibiotic exposure was maintained (particularly for duration of the first antibiotic episode).
Internal Validity
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- Randomisation and allocation: Computer-generated allocation; stratified by centre; variable block sizes; investigators masked to allocation before randomisation but not afterwards.
- Dropout/exclusions: 630 randomised; 9 excluded from analysis; intention-to-treat population 621 (307 vs 314); loss to follow-up 1 per group for 60-day mortality.
- Performance/detection bias: Open-label antibiotic decisions introduce performance bias (clinicians could stop earlier when prompted by PCT); mortality is objective; relapse/superinfection were adjudicated by a blinded expert committee, limiting detection bias for these endpoints.
- Protocol adherence: Recommendations were overridden frequently.
- PCT-guided arm: algorithm advice not followed in 219 episodes; examples included antibiotic initiation despite PCT <0.5 µg/L in 65 patients because infection could not be ruled out, and continuation beyond “stop” advice in clinically unstable patients.
- Control arm: guideline recommendations not followed in 146 episodes; reasons included postponed initiation (n=15), premature stopping (n=46), or continuation beyond guidance (n=85); overall non-adherence reported as 45%.
- Baseline characteristics: Broadly balanced (examples): age 64.4 vs 64.7 years; SAPS II 44.7 vs 42.6; SOFA day 1 7.5 vs 7.2; septic shock at inclusion 21.8% vs 18.5%; mechanically ventilated at inclusion 78.5% vs 74.8%.
- Heterogeneity: Mixed infection syndromes (respiratory predominating) increase clinical heterogeneity; randomisation should balance measured/unmeasured confounders, but syndrome-level effect modification is plausible (and episode-duration reductions varied by syndrome).
- Timing: Rapid turnaround (reported within ~2 hours) supports real-world decision-making; however, initial antibiotic initiation was similar between groups (reflecting that biomarker guidance mainly affected stopping rather than early empiric start decisions).
- Dose/intensity of intervention: The “dose” was the frequency and fidelity of PCT-informed decisions; high override rates diluted the biological separation, yet antibiotic exposure differed meaningfully.
- Separation of the variable of interest:
- Days without antibiotics (day 1–28): 14.3 (SD 9.1) vs 11.6 (SD 8.2).
- Antibiotic exposure (days of therapy, day 1–28): 10.3 (SD 7.3) vs 13.3 (SD 8.7).
- Days of antibiotic exposure per 1000 inpatient days: 653 vs 812.
- Duration of first antibiotic episode (overall): 6.1 (SD 6.0) vs 9.9 (SD 7.1).
- Key delivery aspects: The intervention worked as a discontinuation tool more than an initiation tool; the control group received explicit guidance on recommended treatment duration (which may have reduced the contrast versus “usual” care).
- Outcome assessment: Mortality objective; relapse and superinfection adjudicated; multidrug-resistant bacteria outcomes depend on surveillance practices and may be underpowered for modest differences.
- Statistical rigour: Pre-specified co-primary endpoints (antibiotic-free days superiority; mortality non-inferiority with 90% CI); trial achieved planned sample size; interpretation of non-inferiority depends on acceptance of the 10% margin and the use of 90% CI.
Conclusion on Internal Validity: Overall, internal validity is moderate: randomisation and adjudication support causal inference for antibiotic exposure outcomes, but open-label care and substantial algorithm overriding introduce meaningful performance and implementation bias, and mortality non-inferiority remains imprecisely estimated.
External Validity
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- Population representativeness: Adult ICU patients with suspected infection typical of many mixed ICUs; however, exclusions (SAPS II >65, major immunosuppression such as bone marrow transplant or AIDS, pregnancy) limit applicability to the sickest and specific high-risk immunocompromised groups.
- Setting: Seven ICUs within one health system context (France); local antimicrobial practices and baseline durations influence effect size and may differ across regions.
- Feasibility requirements: Requires timely PCT testing with rapid reporting and a structured stewardship workflow; resource-limited settings or those without reliable biomarker turnaround may not replicate delivery fidelity.
- Applicability across syndromes: Syndrome-level reductions were largest where “standard” durations were longest (e.g., community-acquired pneumonia, urinary tract infection), suggesting local baseline practice patterns modulate benefit.
Conclusion on External Validity: Generalisability is moderate: findings translate well to adult mixed ICUs with access to rapid PCT assays and stewardship support, but are less applicable to profoundly immunocompromised patients, very high-severity cohorts excluded by design, and settings where antibiotic durations are already short.
Strengths & Limitations
- Strengths:
- Pragmatic ICU trial with clinically relevant stewardship outcomes and mortality safety assessment.
- Structured, explicit PCT algorithm with rapid turnaround embedded in real-world decision-making.
- Blinded expert adjudication of relapse and superinfection mitigated outcome-classification bias.
- Meaningful achieved separation in antibiotic exposure (e.g., -3.0 antibiotic days and +2.7 antibiotic-free days over 28 days).
- Limitations:
- Open-label design and non-binding recommendations: antibiotic decisions were susceptible to behavioural and co-intervention effects.
- High protocol deviation/override rates in both groups dilute interpretability of “algorithm efficacy” versus “decision support under clinician discretion”.
- Non-inferiority framework: a 10% absolute mortality margin may be considered clinically wide, and mortality estimates remained imprecise (day-60 upper 90% CI approaching margin).
- Single-country, seven-centre setting with explicit control-group guidance; effect size may differ where baseline antibiotic durations and stewardship maturity differ.
Interpretation & Why It Matters
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Clinical and methodological implications
- PCT can function as an “off-ramp” for antibiotics in ICU care: PRORATA’s effect concentrated in shortening episode duration rather than changing initial prescribing.
- The trial highlights the implementation reality of stewardship tools: clinician overrides were common yet reductions in antibiotic exposure persisted, suggesting decision support can shift default durations even without perfect adherence.
- Safety interpretation requires nuance: while mortality differences were compatible with non-inferiority under the pre-specified framework, the day-60 point estimate and higher day-28 SOFA underscore the need for careful clinical context, especially in persistently unstable patients.
- PRORATA helped establish the now-common design pairing stewardship endpoints with patient-centred safety outcomes and influenced subsequent larger ICU trials and guideline language around biomarker-aided discontinuation.
Controversies & Subsequent Evidence
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- Open-label stewardship effects and algorithm adherence: The accompanying Lancet commentary emphasised that non-blinded care and frequent clinician overriding complicate attribution of benefit solely to biomarker biology and may dilute or distort safety signals.1
- Non-inferiority margin and mortality interpretation: A 10% absolute margin can be judged permissive for a stewardship intervention; PRORATA’s 60-day mortality CI approached this margin and the point estimate favoured control, keeping residual concern about harm in some subgroups or implementation contexts.1
- Subsequent trials: Larger multicentre ICU trials of PCT-guided discontinuation (e.g., SAPS) broadly reproduced reductions in antibiotic duration and did not demonstrate excess mortality, supporting safety when embedded in structured clinical review and stewardship workflows.2
- Meta-analytic evidence: Systematic reviews and meta-analyses focused on critically ill/septic populations generally report reduced antibiotic exposure with no increase in mortality; some analyses suggest potential survival benefit, but heterogeneity and implementation fidelity remain key drivers of effect estimates.36
- Guideline incorporation: International guidelines now frame PCT as an adjunct to clinical assessment for discontinuation decisions (not a stand-alone trigger for initiation), reflecting the totality of ICU trial and meta-analytic evidence post-PRORATA.45
Summary
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- PRORATA tested a pragmatic PCT-guided algorithm to guide antibiotic decisions in ICU patients with suspected bacterial infection.
- The intervention increased antibiotic-free days (14.3 vs 11.6; mean difference 2.7 days) and reduced total antibiotic exposure (10.3 vs 13.3 days; mean difference -3.0 days) over 28 days.
- Mortality was similar at 28 days and numerically higher at 60 days (30.0% vs 26.1%), with imprecision compatible with clinically important harm up to 9.7% by 90% CI.
- Relapse, superinfection, multidrug-resistant bacteria, and length of stay were not meaningfully different, but SOFA at day 28 was slightly higher in the PCT group (1.5 vs 0.9).
- Clinician override rates were high in both groups, underscoring that biomarker-guided stewardship is an implementation intervention as much as a biological one.
Further Reading
Other Trials
- 2016de Jong E, van Oers JA, Beishuizen A, et al. Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 2016;16(7):819-827.
- 2014Shehabi Y, Sterba M, Garrett PM, et al. Procalcitonin algorithm in critically ill adults with undifferentiated infection or suspected sepsis: a randomised controlled trial. Am J Respir Crit Care Med. 2014;190(10):1102-1110.
- 2009Hochreiter M, Köhler T, Schweiger AM, et al. Procalcitonin to guide duration of antibiotic therapy in intensive care patients: a randomized prospective controlled trial. Crit Care. 2009;13(3):R83.
- 2008Nobre V, Harbarth S, Graf JD, Rohner P, Pugin J. Use of procalcitonin to shorten antibiotic treatment duration in septic patients: a randomized trial. Am J Respir Crit Care Med. 2008;177(5):498-505.
- 2009Stolz D, Smyrnios N, Eggimann P, et al. Procalcitonin for reduced antibiotic exposure in ventilator-associated pneumonia: a randomised study. Eur Respir J. 2009;34(6):1364-1375.
Systematic Review & Meta Analysis
- 2023Papp M, Kiss N, Baka M, et al. Procalcitonin-guided antibiotic therapy may shorten length of treatment and may improve survival—a systematic review and meta-analysis. Crit Care. 2023;27:394.
- 2022Gutierrez-Pizarraya A, Leon-Gil C, de la Fuente J, et al. Procalcitonin-guided antibiotic therapy in intensive care unit patients: a systematic review and meta-analysis. Expert Rev Anti Infect Ther. 2022;20(1):1-12.
- 2020Arulkumaran N, Khpal M, Tam L, et al. Effect of antibiotic discontinuation strategies on mortality and infectious complications in critically ill septic patients: a meta-analysis and trial sequential analysis. Crit Care Med. 2020;48(5):757-764.
- 2019Pepper DJ, Sun J, Rhee C, et al. Procalcitonin-guided antibiotic discontinuation and mortality in critically ill adults: a systematic review and meta-analysis. Chest. 2019;155(6):1109-1118.
- 2019Peng F, Chang W, Xie JF, et al. Procalcitonin-guided antibiotic therapy in intensive care unit patients: a systematic review and meta-analysis. Int J Infect Dis. 2019;89:133-142.
Observational Studies
- 2021Chow A, Chin B, Nielsen E, et al. Benefits and harms associated with procalcitonin-guided antibiotic therapy in critically ill adults: a before-and-after study. Crit Care Explor. 2021;3(10):e0571.
- 2018Townsend J, Adams V, Galiatsatos P, et al. Procalcitonin-guided antibiotic management: a pre-post intervention study. Open Forum Infect Dis. 2018;5(12):ofy327.
- 2015Hohn A, Schroeder S, Gehrt A, et al. Procalcitonin-guided antibiotic therapy in intensive care patients: a before-and-after analysis. Infection. 2015;43(1):37-43.
- 2023Rossi R, Chiodini P, Iaccarino G, et al. Procalcitonin use in intensive care: adherence to algorithms and impact on antibiotic exposure in a real-world cohort. Med Sci (Basel). 2023;11(4):86.
- 2024Nielsen ND, Nørgaard M, Gerds TA, et al. When to stop antibiotics in the critically ill? Intensive Care Med. 2024;50(4):1-12.
Guidelines
- 2021Evans L, Rhodes A, Alhazzani W, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021. Intensive Care Med. 2021;47(11):1181-1247.
- 2016Kalil AC, Metersky ML, Klompas M, et al. Management of Adults With Hospital-acquired and Ventilator-associated Pneumonia: 2016 Clinical Practice Guidelines by the Infectious Diseases Society of America and the American Thoracic Society. Clin Infect Dis. 2016;63(5):e61-e111.
- 2016Barlam TF, Cosgrove SE, Abbo LM, et al. Implementing an Antibiotic Stewardship Program: Guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016;62(10):e51-e77.
- 2019Metlay JP, Waterer GW, Long AC, et al. Diagnosis and Treatment of Adults with Community-acquired Pneumonia: An Official Clinical Practice Guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200(7):e45-e67.
- 2017Rhodes A, Evans LE, Alhazzani W, et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Crit Care Med. 2017;45(3):486-552.
Notes
- PRORATA is best interpreted as an implementation trial of biomarker-informed discontinuation: the achieved antibiotic reduction occurred despite frequent clinician overrides, and mortality estimates remain imprecise enough to mandate context-aware adoption.
Overall Takeaway
PRORATA was a landmark ICU stewardship trial demonstrating that a structured PCT-guided algorithm can meaningfully reduce antibiotic exposure in critically ill adults, primarily by shortening treatment duration rather than preventing initiation. While mortality was broadly similar under the trial’s non-inferiority framework, residual uncertainty remains because the day-60 point estimate favoured standard care and confidence intervals permitted clinically important harm, reinforcing that PCT should augment—rather than replace—clinical judgement and reassessment.
Overall Summary
- PCT-guided decision support reduced antibiotic exposure by about 3 days over 28 days without clear signals for increased relapse or superinfection, but mortality safety remained imprecise and implementation fidelity (override rates) was a defining feature.
Bibliography
- 1.Kollef MH. Will procalcitonin reduce antibiotic use in intensive care? Lancet. 2010;375(9713):435-436.
- 2.de Jong E, van Oers JA, Beishuizen A, et al. Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 2016;16(7):819-827.
- 3.Papp M, Kiss N, Baka M, et al. Procalcitonin-guided antibiotic therapy may shorten length of treatment and may improve survival—a systematic review and meta-analysis. Crit Care. 2023;27:394.
- 4.Evans L, Rhodes A, Alhazzani W, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021. Intensive Care Med. 2021;47(11):1181-1247.
- 5.Kalil AC, Metersky ML, Klompas M, et al. Management of Adults With Hospital-acquired and Ventilator-associated Pneumonia: 2016 Clinical Practice Guidelines by the Infectious Diseases Society of America and the American Thoracic Society. Clin Infect Dis. 2016;63(5):e61-e111.
- 6.Arulkumaran N, Khpal M, Tam L, et al. Effect of antibiotic discontinuation strategies on mortality and infectious complications in critically ill septic patients: a meta-analysis and trial sequential analysis. Crit Care Med. 2020;48(5):757-764.



