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Granholm A, Munch MW, Meier N, Sjövall F, Helleberg M, Hertz FB, Kaas-Hansen BS, Thorsen-Meyer HC, Andersen LW, Rasmussen BS, Andersen JS, Albertsen TL, Kjær MBN, Jensen AKG, Lange T, Perner A, Møller MH. Empirical meropenem versus piperacillin/tazobactam for adult patients with sepsis (EMPRESS) trial: Protocol. Acta Anaesthesiol Scand 2024. [PMID: 38769040 DOI: 10.1111/aas.14441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 04/30/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Piperacillin/tazobactam may be associated with less favourable outcomes than carbapenems in patients with severe bacterial infections, but the certainty of evidence is low. METHODS The Empirical Meropenem versus Piperacillin/Tazobactam for Adult Patients with Sepsis (EMPRESS) trial is an investigator-initiated, international, parallel-group, randomised, open-label, adaptive clinical trial with an integrated feasibility phase. We will randomise adult, critically ill patients with sepsis to empirical treatment with meropenem or piperacillin/tazobactam for up to 30 days. The primary outcome is 30-day all-cause mortality. The secondary outcomes are serious adverse reactions within 30 days; isolation precautions due to resistant bacteria within 30 days; days alive without life support and days alive and out of hospital within 30 and 90 days; 90- and 180-day all-cause mortality and 180-day health-related quality of life. EMPRESS will use Bayesian statistical models with weak to somewhat sceptical neutral priors. Adaptive analyses will be conducted after follow-up of the primary outcome for the first 400 participants concludes and after every 300 subsequent participants, with adaptive stopping for superiority/inferiority and practical equivalence (absolute risk difference <2.5%-points) and response-adaptive randomisation. The expected sample sizes in scenarios with no, small or large differences are 5189, 5859 and 2570 participants, with maximum 14,000 participants and ≥99% probability of conclusiveness across all scenarios. CONCLUSIONS EMPRESS will compare the effects of empirical meropenem against piperacillin/tazobactam in adult, critically ill patients with sepsis. Due to the pragmatic, adaptive design with high probability of conclusiveness, the trial results are expected to directly inform clinical practice.
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Affiliation(s)
- Anders Granholm
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Marie Warrer Munch
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Nick Meier
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Fredrik Sjövall
- Department of Intensive and Perioperative Care, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Marie Helleberg
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Centre of Excellence for Health, Immunity and Infections, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Frederik Boëtius Hertz
- Department of Clinical Microbiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Immunology & Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Benjamin Skov Kaas-Hansen
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Hans-Christian Thorsen-Meyer
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Lars Wiuff Andersen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Anesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark
- Prehospital Emergency Medical Services, Aarhus, Denmark
| | - Bodil Steen Rasmussen
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jakob Steen Andersen
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | | | - Maj-Brit Nørregaard Kjær
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Aksel Karl Georg Jensen
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Morten Hylander Møller
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
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2
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Sivapalan P, Kaas-Hansen BS, Meyhoff TS, Hjortrup PB, Kjær MBN, Laake JH, Cronhjort M, Jakob SM, Cecconi M, Nalos M, Ostermann M, Malbrain MLNG, Møller MH, Perner A, Granholm A. Effects of IV fluid restriction according to site-specific intensity of standard fluid treatment-protocol. Acta Anaesthesiol Scand 2024. [PMID: 38576165 DOI: 10.1111/aas.14423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 03/20/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Variation in usual practice in fluid trials assessing lower versus higher volumes may affect overall comparisons. To address this, we will evaluate the effects of heterogeneity in treatment intensity in the Conservative versus Liberal Approach to Fluid Therapy of Septic Shock in Intensive Care trial. This will reflect the effects of differences in site-specific intensities of standard fluid treatment due to local practice preferences while considering participant characteristics. METHODS We will assess the effects of heterogeneity in treatment intensity across one primary (all-cause mortality) and three secondary outcomes (serious adverse events or reactions, days alive without life support and days alive out of hospital) after 90 days. We will classify sites based on the site-specific intensity of standard fluid treatment, defined as the mean differences in observed versus predicted intravenous fluid volumes in the first 24 h in the standard-fluid group while accounting for differences in participant characteristics. Predictions will be made using a machine learning model including 22 baseline predictors using the extreme gradient boosting algorithm. Subsequently, sites will be grouped into fluid treatment intensity subgroups containing at least 100 participants each. Subgroups differences will be assessed using hierarchical Bayesian regression models with weakly informative priors. We will present the full posterior distributions of relative (risk ratios and ratios of means) and absolute differences (risk differences and mean differences) in each subgroup. DISCUSSION This study will provide data on the effects of heterogeneity in treatment intensity while accounting for patient characteristics in critically ill adult patients with septic shock. REGISTRATIONS The European Clinical Trials Database (EudraCT): 2018-000404-42, ClinicalTrials. gov: NCT03668236.
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Affiliation(s)
- Praleene Sivapalan
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Benjamin Skov Kaas-Hansen
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Tine Sylvest Meyhoff
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesia and Intensive Care, Lillebælt Hospital, Kolding, Denmark
| | - Peter Buhl Hjortrup
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Cardiothoracic Anaesthesia and Intensive Care, The Heart Center, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Maj-Brit N Kjær
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Jon Henrik Laake
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesiology and Intensive Care Medicine, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Maria Cronhjort
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Stephan M Jakob
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- University of Bern, Bern, Switzerland
| | - Maurizio Cecconi
- Biomedical Sciences Department, Humanitas University, Pieve Emanuele, Italy
- Department of Anaesthesia and Intensive Care, IRCCS-Humanitas Research Hospital, Milan, Italy
| | - Marek Nalos
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesiology, Perioperative and Intensive Care Medicine, Masaryk Hospital, J.E. Purkinje University, Usti nad Labem, Czech Republic
| | - Marlies Ostermann
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Intensive Care, Guy's and St Thomas' Hospital, London, UK
| | - Manu L N G Malbrain
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- First Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Lublin, Poland
| | - Morten Hylander Møller
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Anders Granholm
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
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3
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Kaas-Hansen BS, Granholm A, Sivapalan P, Anthon CT, Schjørring OL, Maagaard M, Kjaer MBN, Mølgaard J, Ellekjaer KL, Fagerberg SK, Lange T, Møller MH, Perner A. Real-world causal evidence for planned predictive enrichment in critical care trials: A scoping review. Acta Anaesthesiol Scand 2024; 68:16-25. [PMID: 37649412 DOI: 10.1111/aas.14321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/01/2023] [Accepted: 08/12/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Randomised clinical trials in critical care are prone to inconclusiveness due, in part, to undue optimism about effect sizes and suboptimal accounting for heterogeneous treatment effects. Although causal evidence from rich real-world critical care can help overcome these challenges by informing predictive enrichment, no overview exists. METHODS We conducted a scoping review, systematically searching 10 general and speciality journals for reports published on or after 1 January 2018, of randomised clinical trials enrolling adult critically ill patients. We collected trial metadata on 22 variables including recruitment period, intervention type and early stopping (including reasons) as well as data on the use of causal evidence from secondary data for planned predictive enrichment. RESULTS We screened 9020 records and included 316 unique RCTs with a total of 268,563 randomised participants. One hundred seventy-three (55%) trials tested drug interventions, 101 (32%) management strategies and 42 (13%) devices. The median duration of enrolment was 2.2 (IQR: 1.3-3.4) years, and 83% of trials randomised less than 1000 participants. Thirty-six trials (11%) were restricted to COVID-19 patients. Of the 55 (17%) trials that stopped early, 23 (42%) used predefined rules; futility, slow enrolment and safety concerns were the commonest stopping reasons. None of the included RCTs had used causal evidence from secondary data for planned predictive enrichment. CONCLUSION Work is needed to harness the rich multiverse of critical care data and establish its utility in critical care RCTs. Such work will likely need to leverage methodology from interventional and analytical epidemiology as well as data science.
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Affiliation(s)
- Benjamin Skov Kaas-Hansen
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anders Granholm
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Praleene Sivapalan
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Carl Thomas Anthon
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Olav Lilleholt Schjørring
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Mathias Maagaard
- Centre for Anaesthesiological Research, Department of Anaesthesiology, Zealand University Hospital, Køge, Denmark
| | | | - Jesper Mølgaard
- Department of Anesthesiology, Centre for Cancer and Organ Dysfunction, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Karen Louise Ellekjaer
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Steen Kåre Fagerberg
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Morten Hylander Møller
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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4
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Wichmann S, Lange T, Perner A, Gluud C, Itenov TS, Berthelsen RE, Nebrich L, Wiis J, Brøchner AC, Nielsen LG, Behzadi MT, Damgaard K, Andreasen AS, Strand K, Järvisalo M, Strøm T, Eschen CT, Vang ML, Hildebrandt T, Andersen FH, Sigurdsson MI, Thomar KM, Thygesen SK, Troelsen TT, Uusalo P, Jalkanen V, Illum D, Sølling C, Keus F, Pfortmueller CA, Wahlin RR, Ostermann M, Aneman A, Bestle MH. Furosemide versus placebo for fluid overload in intensive care patients-The randomised GODIF trial second version: Statistical analysis plan. Acta Anaesthesiol Scand 2024; 68:130-136. [PMID: 37691474 DOI: 10.1111/aas.14320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 08/12/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND Fluid overload is associated with increased mortality in intensive care unit (ICU) patients. The GODIF trial aims to assess the benefits and harms of fluid removal with furosemide versus placebo in stable adult patients with moderate to severe fluid overload in the ICU. This article describes the detailed statistical analysis plan for the primary results of the second version of the GODIF trial. METHODS The GODIF trial is an international, multi-centre, randomised, stratified, blinded, parallel-group, pragmatic clinical trial, allocating 1000 adult ICU patients with moderate to severe fluid overload 1:1 to furosemide versus placebo. The primary outcome is days alive and out of hospital within 90 days post-randomisation. With a power of 90% and an alpha level of 5%, we may reject or detect an improvement of 8%. The primary analyses of all outcomes will be performed in the intention-to-treat population. For the primary outcome, the Kryger Jensen and Lange method will be used to compare the two treatment groups adjusted for stratification variables supplemented with sensitivity analyses in the per-protocol population and with further adjustments for prognostic variables. Secondary outcomes will be analysed with multiple linear regressions, logistic regressions or the Kryger Jensen and Lange method as suitable with adjustment for stratification variables. CONCLUSION The GODIF trial data will increase the certainty about the effects of fluid removal using furosemide in adult ICU patients with fluid overload. TRIAL REGISTRATIONS EudraCT identifier: 2019-004292-40 and ClinicalTrials.org: NCT04180397.
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Affiliation(s)
- Sine Wichmann
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christian Gluud
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- The Faculty of Health Sciences, Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Theis S Itenov
- Department of Anaesthesia, Copenhagen University Hospital-Bispebjerg, Copenhagen, Denmark
| | - Rasmus E Berthelsen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Nebrich
- Department of Anaesthesia and Intensive Care, Zealand University Hospital, Koege, Denmark
| | - Jørgen Wiis
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anne C Brøchner
- Department of Anaesthesia and Intensive Care, University Hospital of Southern Denmark, Kolding, Denmark
| | - Louise G Nielsen
- Department of Intensive Care, Odense University Hospital, Odense, Denmark
| | - Meike T Behzadi
- Department of Intensive Care, Aalborg University Hospital, Aalborg, Denmark
| | - Kjeld Damgaard
- Department of Anaesthesia and Intensive Care, Regionshospital Nordjylland, Hjoerring, Denmark
| | - Anne S Andreasen
- Department of Intensive Care, Copenhagen University Hospital-Herlev, Herlev, Denmark
| | - Kristian Strand
- Department of Intensive Care, Stavanger University Hospital, Stavanger, Norway
| | - Mikko Järvisalo
- Department of Internal Medicine, Kanta-Häme Central Hospital, Hameenlinna, Finland
| | - Thomas Strøm
- Department of Anaesthesia and Intensive Care, Sygehus Soenderjylland, Aabenraa, Denmark
| | - Camilla T Eschen
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital-Gentofte Hospital, Gentofte, Denmark
| | - Marianne L Vang
- Department of Intensive Care, Regionshospitalet Randers, Randers, Denmark
| | - Thomas Hildebrandt
- Department of Anaesthesia and Intensive Care, Zealand University Hospital, Roskilde, Denmark
| | - Finn H Andersen
- Department of Intensive Care, Aalesund Hospital, Moere and Romsdal Health Trust, Aalesund, Norway
- Faculty of Medicine and Health Science, Department of Health Science, Norwegian University of Science and Technology, Aalesund, Norway
| | - Martin I Sigurdsson
- Department of Anaesthesia and Intensive Care, Landspitali, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Katrin M Thomar
- Department of Anaesthesia and Intensive Care, Landspitali, Reykjavik, Iceland
| | - Sandra K Thygesen
- Department of Anaesthesia and Intensive Care, Regionshospitalet Goedstrup, Herning, Denmark
| | - Thomas T Troelsen
- Department of Anaesthesia and Intensive Care, Regionshospitalet Goedstrup, Herning, Denmark
| | - Panu Uusalo
- Department of Perioperative Services, Intensive Care and Pain Medicine, Turku University Hospital, Turku, Finland
| | - Ville Jalkanen
- Department of Intensive Care, Tampere University Hospital, Tampere, Finland
| | - Dorte Illum
- Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | | | - Frederik Keus
- Department of Critical Care, University Medical Centre Groningen, Groningen, The Netherlands
| | | | - Rebecka R Wahlin
- Department of Anaesthesia and Intensive Care, Sodersjukhuset AB, Stockholm, Sweden
| | - Marlies Ostermann
- Department of Intensive Care, King's College London, Guy's & St. Thomas' Hospital, London, UK
| | - Anders Aneman
- Department of Intensive Care, Liverpool Hospital, South Western Sydney Local Health District, Sydney, Australia
- South Western Clinical School, University of New South Wales, Sydney, Australia
| | - Morten H Bestle
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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5
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Anthon CT, Pène F, Perner A, Azoulay E, Puxty K, Van De Louw A, Barratt-Due A, Chawla S, Castro P, Póvoa P, Coelho L, Metaxa V, Kochanek M, Liebregts T, Kander T, Hästbacka J, Andreasen JB, Péju E, Nielsen LB, Hvas CL, Dufranc E, Canet E, Lundqvist L, Wright CJ, Schmidt J, Uhel F, Ait-Oufella H, Krag M, Cos Badia E, Díaz-Lagares C, Menat S, Voiriot G, Clausen NE, Lorentzen K, Kvåle R, Hildebrandt T, Holten AR, Strand K, Tzalavras A, Bestle MH, Klepstad P, Fernandez S, Vimpere D, Paulino C, Graça C, Lueck C, Juhl CS, Costa C, Bådstøløkken PM, Miranda T, Lêdo LSA, Sousa Torres JC, Granholm A, Møller MH, Russell L. Thrombocytopenia and platelet transfusions in ICU patients: an international inception cohort study (PLOT-ICU). Intensive Care Med 2023; 49:1327-1338. [PMID: 37812225 PMCID: PMC10622358 DOI: 10.1007/s00134-023-07225-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/05/2023] [Indexed: 10/10/2023]
Abstract
PURPOSE Thrombocytopenia (platelet count < 150 × 109/L) is common in intensive care unit (ICU) patients and is likely associated with worse outcomes. In this study we present international contemporary data on thrombocytopenia in ICU patients. METHODS We conducted a prospective cohort study in adult ICU patients in 52 ICUs across 10 countries. We assessed frequencies of thrombocytopenia, use of platelet transfusions and clinical outcomes including mortality. We evaluated pre-selected potential risk factors for the development of thrombocytopenia during ICU stay and associations between thrombocytopenia at ICU admission and 90-day mortality using pre-specified logistic regression analyses. RESULTS We analysed 1166 ICU patients; the median age was 63 years and 39.5% were female. Overall, 43.2% (95% confidence interval (CI) 40.4-46.1) had thrombocytopenia; 23.4% (20-26) had thrombocytopenia at ICU admission, and 19.8% (17.6-22.2) developed thrombocytopenia during their ICU stay. Absence of acquired immune deficiency syndrome (AIDS), non-cancer-related immune deficiency, liver failure, male sex, septic shock, and bleeding at ICU admission were associated with the development of thrombocytopenia during ICU stay. Among patients with thrombocytopenia, 22.6% received platelet transfusion(s), and 64.3% of in-ICU transfusions were prophylactic. Patients with thrombocytopenia had higher occurrences of bleeding and death, fewer days alive without the use of life-support, and fewer days alive and out of hospital. Thrombocytopenia at ICU admission was associated with 90-day mortality (adjusted odds ratio 1.7; 95% CI 1.19-2.42). CONCLUSION Thrombocytopenia occurred in 43% of critically ill patients and was associated with worse outcomes including increased mortality. Platelet transfusions were given to 23% of patients with thrombocytopenia and most were prophylactic.
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Affiliation(s)
- Carl Thomas Anthon
- Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Frédéric Pène
- Médecine Intensive and Réanimation, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Université Paris Cité, Paris, France
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Médecine Intensive and Réanimation, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Elie Azoulay
- Médecine Intensive and Réanimation, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Kathryn Puxty
- Department of Intensive Care, Glasgow Royal Infirmary, Glasgow, UK
| | - Andry Van De Louw
- Division of Pulmonary and Critical Care, Penn State University College of Medicine, Hershey, PA, USA
| | - Andreas Barratt-Due
- Department of Anaesthesia and Intensive Care Medicine, Division of Emergencies and Critical Care, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Sanjay Chawla
- Critical Care Medicine Service, Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Anesthesiology, Weill Cornell Medical College, New York, NY, USA
| | - Pedro Castro
- Medical Intensive Care Unit, Hospital Clinic of Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Pedro Póvoa
- Department of Intensive Care, Sao Francisco Xavier Hospital, CHLO, Lisbon, Portugal
- Nova Medical School, CHRC, New University of Lisbon, Lisbon, Portugal
- Center for Clinical Epidemiology and Research Unit of Clinical Epidemiology, Odense University Hospital, Odense, Denmark
| | - Luis Coelho
- Department of Intensive Care, Sao Francisco Xavier Hospital, CHLO, Lisbon, Portugal
- Nova Medical School, CHRC, New University of Lisbon, Lisbon, Portugal
| | - Victoria Metaxa
- Department of Critical Care, King's College Hospital NHS Foundation Trust, London, UK
| | - Matthias Kochanek
- Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Tobias Liebregts
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Thomas Kander
- Department of Intensive and Perioperative Care, Skåne University Hospital, Lund, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Johanna Hästbacka
- Department of Perioperative and Intensive Care Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Anaesthesiology and Intensive Care, Tampere University Hospital and Tampere University, Tampere, Finland
| | - Jo Bønding Andreasen
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
| | - Edwige Péju
- Médecine Intensive and Réanimation, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Université Paris Cité, Paris, France
| | | | - Christine Lodberg Hvas
- Department of Anaesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Etienne Dufranc
- Service de Médecine Intensive Réanimation, Hôpitaux Universitaires Henri-Mondor, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Emmanuel Canet
- Médecine Intensive Réanimation, CHU de Nantes, Université de Nantes, Nantes, France
| | - Linda Lundqvist
- Department of Intensive and Perioperative Care, Skåne University Hospital, Lund, Sweden
| | | | - Julien Schmidt
- Service de Réanimation Médico-Chirurgicale, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Fabrice Uhel
- Médecine Intensive Réanimation, Hôpital Louis Mourier, Assistance Publique-Hôpitaux de Paris, DMU ESPRIT, Paris, France
- Institut Necker-Enfants Malades, Université Paris Cité, INSERMUMR-S1151, CNRSUMR-S8253, Paris, France
| | - Hafid Ait-Oufella
- Service de Médecine Intensive-Réanimation, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Mette Krag
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Intensive Care, Holbaek Hospital, Holbaek, Denmark
| | - Elisabet Cos Badia
- Department of Intensive Care, Hospital General Granollers, Barcelona, Spain
| | - Cándido Díaz-Lagares
- Intensive Care Department, Vall d'Hebron Hospital Universitari, Barcelona, Spain
- SODIR Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Sophie Menat
- Service de Médecine Intensive-Réanimation, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Guillaume Voiriot
- Service de Médecine Intensive Réanimation, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Centre de Recherche Saint-Antoine UMRS_938 INSERM, Paris, France
| | - Niels Erikstrup Clausen
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Kristian Lorentzen
- Department of Intensive Care, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
| | - Reidar Kvåle
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
- Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Thomas Hildebrandt
- Department of Intensive Care, Zealand University Hospital - Roskilde, Roskilde, Denmark
| | - Aleksander Rygh Holten
- Department of Acute Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristian Strand
- Department of Intensive Care, Stavanger University Hospital, Stavanger, Norway
| | - Asterios Tzalavras
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Morten Heiberg Bestle
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Anaesthesiology and Intensive Care, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
| | - Pål Klepstad
- Department of Intensive Care Medicine, St. Olav's University Hospital, Trondheim, Norway
- Department Circulation and Medical Imaging, Norwegian University of Technology and Science, Trondheim, Norway
| | - Sara Fernandez
- Medical Intensive Care Unit, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Damien Vimpere
- Médecine Intensive and Réanimation, Hôpital Necker, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Carolina Paulino
- Nova Medical School, CHRC, New University of Lisbon, Lisbon, Portugal
- Department of Intensive Care, Hospital da Luz Lisboa, Lisbon, Portugal
| | - Carina Graça
- Department of Intensive Care, Hospital Central do Funchal, Funchal, Portugal
| | - Catherina Lueck
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Christian Svendsen Juhl
- Department of Anaesthesiology, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
| | - Carolina Costa
- Intensive Care Unit, Hospital Professor Doutor Fernando Fonseca, EPE, Amadora, Portugal
| | | | - Teresa Miranda
- Department of Intensive Care, Sao Francisco Xavier Hospital, CHLO, Lisbon, Portugal
| | - Lia Susana Aires Lêdo
- Department of Intensive Care Medicine-Unit 2, Hospital Egas Moniz-CHLO, EPE, Lisbon, Portugal
| | | | - Anders Granholm
- Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Morten Hylander Møller
- Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lene Russell
- Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
- Médecine Intensive and Réanimation, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France.
- Department of Intensive Care, Copenhagen University Hospital - Gentofte, Hellerup, Denmark.
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6
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Olsen MH, Capion T, Riberholt CG, Bache S, Ebdrup SR, Rasmussen R, Mathiesen T, Berg RMG, Møller K. Effect of controlled blood pressure increase on cerebral blood flow velocity and oxygenation in patients with subarachnoid haemorrhage. Acta Anaesthesiol Scand 2023; 67:1054-1060. [PMID: 37192754 DOI: 10.1111/aas.14277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 03/24/2023] [Accepted: 05/01/2023] [Indexed: 05/18/2023]
Abstract
BACKGROUND Patients with aneurysmal subarachnoid haemorrhage (SAH) might have impaired cerebral autoregulation, that is, CBF - and thereby oxygen delivery - passively increase with an increase in CPP. This physiological study aimed to investigate the cerebral haemodynamic effects of controlled blood pressure increase in the early phase after SAH before any signs of delayed cerebral ischaemia (DCI) occurred. METHODS The study was carried out within 5 days after ictus. Data were recorded at baseline and after 20 min of noradrenaline infusion to increase mean arterial blood pressure (MAP) by a maximum of 30 mmHg and to an absolute level of no more than 130 mmHg. The primary outcome was the difference in middle cerebral artery blood flow velocity (MCAv) measured by transcranial Doppler (TCD), while differences in intracranial pressure (ICP), brain tissue oxygen tension (PbtO2 ), and microdialysis markers of cerebral oxidative metabolism and cell injury were assessed as exploratory outcomes. Data were analysed using Wilcoxon signed-rank test with correction for multiplicity for the exploratory outcomes using the Benjamini-Hochberg correction. RESULTS Thirty-six participants underwent the intervention 4 (median, IQR: 3-4.75) days after ictus. MAP was increased from 82 (IQR: 76-85) to 95 (IQR: 88-98) mmHg (p-value: <.001). MCAv remained stable (baseline, median 57, IQR: 46-70 cm/s; controlled blood pressure increase, median: 55, IQR: 48-71 cm/s; p-value: .054), whereas PbtO2 increased significantly (baseline, median: 24, 95%CI: 19-31 mmHg; controlled blood pressure increase, median: 27, 95%CI: 24-33 mmHg; p-value <.001). The remaining exploratory outcomes were unchanged. CONCLUSION In this study of patients with SAH, MCAv was not significantly affected by a brief course of controlled blood pressure increase; despite this, PbtO2 increased. This suggests that autoregulation might not be impaired in these patients or other mechanisms could mediate the increase in brain oxygenation. Alternatively, a CBF increase did occur that, in turn, increased cerebral oxygenation, but was not detected by TCD. TRIAL REGISTRATION clinicaltrials.gov (NCT03987139; 14 June 2019).
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Affiliation(s)
- Markus Harboe Olsen
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Tenna Capion
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Christian Gunge Riberholt
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
- Department of Brain and Spinal Cord Injury, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Søren Bache
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Søren Røddik Ebdrup
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Rune Rasmussen
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Tiit Mathiesen
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Ronan M G Berg
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital, Denmark
- Centre for Physical Activity Research, Copenhagen University Hospital, Rigshospitalet, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Neurovascular Research Laboratory, Faculty of Life Sciences and Education, University of South Wales, Pontypridd, UK
| | - Kirsten Møller
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
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7
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Granholm A, Schjørring OL, Jensen AKG, Kaas-Hansen BS, Munch MW, Klitgaard TL, Crescioli E, Kjaer MBN, Strøm T, Lange T, Perner A, Rasmussen BS, Møller MH. Association between days alive without life support/out of hospital and health-related quality of life. Acta Anaesthesiol Scand 2023; 67:762-771. [PMID: 36915265 DOI: 10.1111/aas.14231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/28/2023] [Accepted: 03/07/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND Trials in critically ill patients increasingly focus on days alive without life support (DAWOLS) or days alive out of hospital (DAOOH) and health-related quality of life (HRQoL). DAWOLS and DAOOH convey more information than mortality and are simpler and faster to collect than HRQoL. However, whether these outcomes are associated with HRQoL is uncertain. We thus aimed to assess the associations between DAWOLS and DAOOH and long-term HRQoL. METHODS Secondary analysis of the COVID STEROID 2 trial including adults with COVID-19 and severe hypoxaemia and the Handling Oxygenation Targets in the Intensive Care Unit (HOT-ICU) trial including adult intensive care unit patients with acute hypoxaemic respiratory failure. Associations between DAWOLS and DAOOH at day 28 and 90 and long-term HRQoL (after 6 or 12 months) using the EuroQol 5-dimension 5-level survey (EQ VAS and EQ-5D-5L index values) were assessed using flexible models and evaluated using measures of fit and prediction adequacy in both datasets (comprising internal performance and external validation), non-parametric correlation coefficients and graphical presentations. RESULTS We found no strong associations between DAWOLS or DAOOH and HRQoL in survivors at HRQoL-follow-up (615 and 1476 patients, respectively). There was substantial variability in outcomes, and predictions from the best fitted models were poor both internally and externally in the other trial dataset, which also showed inadequate calibration. Moderate associations were found when including non-survivors, although predictions remained uncertain and calibration inadequate. CONCLUSION DAWOLS and DAOOH were poorly associated with HRQoL in adult survivors of severe or critical illness included in the COVID STEROID 2 and HOT-ICU trials.
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Affiliation(s)
- Anders Granholm
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Olav Lilleholt Schjørring
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Aksel Karl Georg Jensen
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Benjamin Skov Kaas-Hansen
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Warrer Munch
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Thomas Lass Klitgaard
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
| | - Elena Crescioli
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Maj-Brit Nørregaard Kjaer
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Thomas Strøm
- Department of Anaesthesia and Critical Care Medicine, Odense University Hospital, Odense, Denmark
- Department of Anaesthesia and Critical Care Medicine, Hospital Sønderjylland, University Hospital of Southern Denmark, Odense, Denmark
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
| | - Bodil Steen Rasmussen
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
- Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Morten Hylander Møller
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Collaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark
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