Olaf L. Cremer
Utrecht University
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Featured researches published by Olaf L. Cremer.
The Lancet | 2001
Olaf L. Cremer; Karel G.M. Moons; Esther A. C. Bouman; Janneke E. Kruijswijk; Anne Marie G. A. de Smet; C. J. Kalkman
Five adult patients with head injuries inexplicably had fatal cardiac arrests In our neurosurgical intensive-care unit after the introduction of a sedation formulation containing an increased concentration of propofol. To examine the possible relation further, we did a retrospective cohort analysis of head-injured adults admitted to our unit between 1996 and 1999 who were sedated and mechanically ventilated. 67 patients met the inclusion criteria, of whom seven were judged to have died from propofol-infusion syndrome. The odds ratio for the occurrence of the syndrome was 1.93 (95% CI 1.12-3.32, p=0.018) for every mg/kg per h increase in mean propofol dose above 5 mg/kg per h. We suggest that propofol infusion at rates higher than 5 mg/kg per h should be discouraged for long-term sedation in the intensive-care unit.
Critical Care Medicine | 2005
Olaf L. Cremer; Gert W. van Dijk; Erik van Wensen; Geert J. F. Brekelmans; Karel G.M. Moons; Loek P. H. Leenen; Cor J. Kalkman
Objective:Intracranial hypertension after severe head injury is associated with case fatality, but there is no sound evidence that monitoring of intracranial pressure (ICP) and targeted management of cerebral perfusion pressure (CPP) improve outcome, despite widespread recommendation by experts in the field. The purpose was to determine the effect of ICP/CPP-targeted intensive care on functional outcome and therapy intensity levels after severe head injury. Design:Retrospective cohort study with prospective assessment of outcome. Setting:Two level I trauma centers in The Netherlands from 1996 to 2001. Patients:Three hundred thirty-three patients who had survived and remained comatose for >24 hrs, from a total of 685 consecutive severely head-injured adults. Interventions:In center A (supportive intensive care), mean arterial pressure was maintained at approximately 90 mm Hg, and therapeutic interventions were based on clinical observations and computed tomography findings. In center B (ICP/CPP-targeted intensive care), management was aimed at maintaining ICP <20 mm Hg and CPP >70 mm Hg. Allocation to either trauma center was solely based on the site of the accident. Measurements and Main Results:We measured extended Glasgow Outcome Scale after ≥12 months. Patient characteristics were well balanced between the centers. ICP monitoring was used in zero of 122 (0%) and 142 of 211 (67%) patients in centers A and B, respectively. In-hospital mortality rate was 41 (34%) vs. 69 (33%; p = .87). The odds ratio for a more favorable functional outcome following ICP/CPP-targeted therapy was 0.95 (95% confidence interval, 0.62–1.44). This result remained after adjustment for potential confounders. Sedatives, vasopressors, mannitol, and barbiturates were much more frequently used in center B (all p < .01). The median number of days on ventilator support in survivors was 5 (25th–75th percentile, 2–9) in center A vs. 12 (7–19) in center B (p < .001). Conclusions:ICP/CPP-targeted intensive care results in prolonged mechanical ventilation and increased levels of therapy intensity, without evidence for improved outcome in patients who survive beyond 24 hrs following severe head injury.
Nature Immunology | 2016
Shih-Chin Cheng; Brendon P. Scicluna; Rob J.W. Arts; Mark S. Gresnigt; Ekta Lachmandas; Evangelos J. Giamarellos-Bourboulis; Matthijs Kox; Ganesh R. Manjeri; Jori A.L. Wagenaars; Olaf L. Cremer; Jenneke Leentjens; Anne Jan van der Meer; Frank L. van de Veerdonk; Marc J. M. Bonten; Marcus J. Schultz; Peter H. G. M. Willems; Peter Pickkers; Leo A. B. Joosten; Tom van der Poll; Mihai G. Netea
The acute phase of sepsis is characterized by a strong inflammatory reaction. At later stages in some patients, immunoparalysis may be encountered, which is associated with a poor outcome. By transcriptional and metabolic profiling of human patients with sepsis, we found that a shift from oxidative phosphorylation to aerobic glycolysis was an important component of initial activation of host defense. Blocking metabolic pathways with metformin diminished cytokine production and increased mortality in systemic fungal infection in mice. In contrast, in leukocytes rendered tolerant by exposure to lipopolysaccharide or after isolation from patients with sepsis and immunoparalysis, a generalized metabolic defect at the level of both glycolysis and oxidative metabolism was apparent, which was restored after recovery of the patients. Finally, the immunometabolic defects in humans were partially restored by therapy with recombinant interferon-γ, which suggested that metabolic processes might represent a therapeutic target in sepsis.
American Journal of Respiratory and Critical Care Medicine | 2014
Peter M. C. Klein Klouwenberg; Maaike S. M. van Mourik; David S. Y. Ong; Janneke Horn; Marcus J. Schultz; Olaf L. Cremer; Marc J. M. Bonten
RATIONALE Accurate surveillance of ventilator-associated pneumonia (VAP) is hampered by subjective diagnostic criteria. A novel surveillance paradigm for ventilator-associated events (VAEs) was introduced. OBJECTIVES To determine the validity of surveillance using the new VAE algorithm. METHODS Prospective cohort study in two Dutch academic medical centers (2011-2012). VAE surveillance was electronically implemented and included assessment of (infection-related) ventilator-associated conditions (VAC, IVAC) and VAP. Concordance with ongoing prospective VAP surveillance was assessed, along with clinical diagnoses underlying VAEs and associated mortality of all conditions. Consequences of minor differences in electronic VAE implementation were evaluated. MEASUREMENTS AND MAIN RESULTS The study included 2,080 patients with 2,296 admissions. Incidences of VAC, IVAC, VAE-VAP, and VAP according to prospective surveillance were 10.0, 4.2, 3.2, and 8.0 per 1000 ventilation days, respectively. The VAE algorithm detected at most 32% of the patients with VAP identified by prospective surveillance. VAC signals were most often caused by volume overload and infections, but not necessarily VAP. Subdistribution hazards for mortality were 3.9 (95% confidence interval, 2.9-5.3) for VAC, 2.5 (1.5-4.1) for IVAC, 2.0 (1.1-3.6) for VAE-VAP, and 7.2 (5.1-10.3) for VAP identified by prospective surveillance. In sensitivity analyses, mortality estimates varied considerably after minor differences in electronic algorithm implementation. CONCLUSIONS Concordance between the novel VAE algorithm and VAP was poor. Incidence and associated mortality of VAE were susceptible to small differences in electronic implementation. More studies are needed to characterize the clinical entities underlying VAE and to ensure comparability of rates from different institutions.
Critical Care Medicine | 2013
Peter M. C. Klein Klouwenberg; David S. Y. Ong; Lieuwe D. Bos; Friso M. de Beer; Roosmarijn T. M. van Hooijdonk; Mischa A. Huson; Marleen Straat; Lonneke A. van Vught; Luuk Wieske; Janneke Horn; Marcus J. Schultz; Tom van der Poll; Marc J. M. Bonten; Olaf L. Cremer
Objectives:Correct classification of the source of infection is important in observational and interventional studies of sepsis. Centers for Disease Control and Prevention criteria are most commonly used for this purpose, but the robustness of these definitions in critically ill patients is not known. We hypothesized that in a mixed ICU population, the performance of these criteria would be generally reduced and would vary among diagnostic subgroups. Design:Prospective cohort. Setting:Data were collected as part of a cohort of 1,214 critically ill patients admitted to two hospitals in The Netherlands between January 2011 and June 2011. Patients:Eight observers assessed a random sample of 168 of 554 patients who had experienced at least one infectious episode in the ICU. Each patient was assessed by two randomly selected observers who independently scored the source of infection (by affected organ system or site), the plausibility of infection (rated as none, possible, probable, or definite), and the most likely causative pathogen. Assessments were based on a post hoc review of all available clinical, radiological, and microbiological evidence. The observed diagnostic agreement for source of infection was classified as partial (i.e., matching on organ system or site) or complete (i.e., matching on specific diagnostic terms), for plausibility as partial (2-point scale) or complete (4-point scale), and for causative pathogens as an approximate or exact pathogen match. Interobserver agreement was expressed as a concordant percentage and as a kappa statistic. Interventions:None. Measurements and Main Results:A total of 206 infectious episodes were observed. Agreement regarding the source of infection was 89% (183/206) and 69% (142/206) for a partial and complete diagnostic match, respectively. This resulted in a kappa of 0.85 (95% CI, 0.79–0.90). Agreement varied from 63% to 91% within major diagnostic categories and from 35% to 97% within specific diagnostic subgroups, with the lowest concordance observed in cases of ventilator-associated pneumonia. In the 142 episodes for which a complete match on source of infection was obtained, the interobserver agreement for plausibility of infection was 83% and 65% on a 2- and 4-point scale, respectively. For causative pathogen, agreement was 78% and 70% for an approximate and exact pathogen match, respectively. Conclusions:Interobserver agreement for classifying sources of infection using Centers for Disease Control and Prevention criteria was excellent overall. However, full concordance on all aspects of the diagnosis between independent observers was rare for some types of infection, in particular for ventilator-associated pneumonia.
BMJ | 2014
Peter M. C. Klein Klouwenberg; Irene J. Zaal; Cristian Spitoni; David S. Y. Ong; Arendina W. van der Kooi; Marc J. M. Bonten; Arjen J. C. Slooter; Olaf L. Cremer
Objective To determine the attributable mortality caused by delirium in critically ill patients. Design Prospective cohort study. Setting 32 mixed bed intensive care unit in the Netherlands, January 2011 to July 2013. Participants 1112 consecutive adults admitted to an intensive care unit for a minimum of 24 hours. Exposures Trained observers evaluated delirium daily using a validated protocol. Logistic regression and competing risks survival analyses were used to adjust for baseline variables and a marginal structural model analysis to adjust for confounding by evolution of disease severity before the onset of delirium. Main outcome measure Mortality during admission to an intensive care unit. Results Among 1112 evaluated patients, 558 (50.2%) developed at least one episode of delirium, with a median duration of 3 days (interquartile range 2-7 days). Crude mortality was 94/558 (17%) in patients with delirium compared with 40/554 (7%) in patients without delirium (P<0.001). Delirium was significantly associated with mortality in the multivariable logistic regression analysis (odds ratio 1.77, 95% confidence interval 1.15 to 2.72) and survival analysis (subdistribution hazard ratio 2.08, 95% confidence interval 1.40 to 3.09). However, the association disappeared after adjustment for time varying confounders in the marginal structural model (subdistribution hazard ratio 1.19, 95% confidence interval 0.75 to 1.89). Using this approach, only 7.2% (95% confidence interval −7.5% to 19.5%) of deaths in the intensive care unit were attributable to delirium, with an absolute mortality excess in patients with delirium of 0.9% (95% confidence interval −0.9% to 2.3%) by day 30. In post hoc analyses, however, delirium that persisted for two days or more remained associated with a 2.0% (95% confidence interval 1.2% to 2.8%) absolute mortality increase. Furthermore, competing risk analysis showed that delirium of any duration was associated with a significantly reduced rate of discharge from the intensive care unit (cause specific hazard ratio 0.65, 95% confidence interval 0.55 to 0.76). Conclusions Overall, delirium prolongs admission in the intensive care unit but does not cause death in critically ill patients. Future studies should focus on episodes of persistent delirium and its long term sequelae rather than on acute mortality. Trial registration Clinicaltrials.gov NCT01905033.
American Journal of Respiratory and Critical Care Medicine | 2015
Brendon P. Scicluna; Peter M. C. Klein Klouwenberg; Lonneke A. van Vught; Maryse A. Wiewel; David S. Y. Ong; Aeilko H. Zwinderman; Marek Franitza; Mohammad R. Toliat; Peter Nürnberg; Arie J. Hoogendijk; Janneke Horn; Olaf L. Cremer; Marcus J. Schultz; Marc J. M. Bonten; Tom van der Poll
RATIONALE Community-acquired pneumonia (CAP) accounts for a major proportion of intensive care unit (ICU) admissions for respiratory failure and sepsis. Diagnostic uncertainty complicates case management, which may delay appropriate cause-specific treatment. OBJECTIVES To characterize the blood genomic response in patients with suspected CAP and identify a candidate biomarker for the rapid diagnosis of CAP on ICU admission. METHODS The study comprised two cohorts of consecutively enrolled patients treated for suspected CAP on ICU admission. Patients were designated CAP (cases) and no-CAP patients (control subjects) by post hoc assessment. The first (discovery) cohort (101 CAP and 33 no-CAP patients) was enrolled between January 2011 and July 2012; the second (validation) cohort (70 CAP and 30 no-CAP patients) between July 2012 and June 2013. Blood was collected within 24 hours of ICU admission. MEASUREMENTS AND MAIN RESULTS Blood microarray analysis of CAP and no-CAP patients revealed shared and distinct gene expression patterns. A 78-gene signature was defined for CAP, from which a FAIM3:PLAC8 gene expression ratio was derived with area under curve of 0.845 (95% confidence interval, 0.764-0.917) and positive and negative predictive values of 83% and 81%, respectively. Robustness of the FAIM3:PLAC8 ratio was ascertained by quantitative polymerase chain reaction in the validation cohort. The FAIM3:PLAC8 ratio outperformed plasma procalcitonin and IL-8 and IL-6 in discriminating between CAP and no-CAP patients. CONCLUSIONS CAP and no-CAP patients presented shared and distinct blood genomic responses. We propose the FAIM3:PLAC8 ratio as a candidate biomarker to assist in the rapid diagnosis of CAP on ICU admission. Clinical trial registered with www.clinicaltrials.gov (NCT 01905033).
Current Opinion in Anesthesiology | 2008
Luuk C Otterspoor; C. J. Kalkman; Olaf L. Cremer
Purpose of review The propofol infusion syndrome is a rare condition characterized by the occurrence of lactic acidosis, rhabdomyolysis and cardiovascular collapse following high-dose propofol infusion over prolonged periods of time. Patients with traumatic brain injury are particularly at risk of developing this complication because large doses of propofol are commonly used to control intracranial pressure, whereas vasopressors are administered to augment cerebral perfusion pressure. In this review, we provide an update on the literature with particular emphasis on patients with traumatic brain injury. Recent findings Several new case reports and reviews, as well as a number of experiments, have contributed significantly to our increased understanding of the cause of the syndrome. At the basis of the syndrome lies an imbalance between energy utilization and demand resulting in cell dysfunction, and ultimately necrosis of cardiac and peripheral muscle cells. Uncertainty remains whether a genetic susceptibility exists. Nonetheless, the growing number of case reports has made it possible to identify several risk factors. Summary Propofol infusion syndrome is a rare but frequently lethal complication of propofol use. In patients with risk factors, such as traumatic brain injury, it is suggested that an infusion rate of 4 mg/kg per hour should not be exceeded. Early warning signs include unexplained lactic acidosis, lipemia and Brugada-like ECG changes. When these occur, propofol infusion should be discontinued immediately.
Anesthesia & Analgesia | 2004
Olaf L. Cremer; Gert W. van Dijk; Gerrit J. Amelink; Anne Marie G. A. de Smet; Karel G.M. Moons; C. J. Kalkman
The management of cerebral perfusion pressure (CPP) remains a controversial issue in the critical care of severely head-injured patients. Recently, it has been proposed that the state of cerebrovascular autoregulation should determine individual CPP targets. To find optimal perfusion pressure, we pharmacologically manipulated CPP in a range of 51 mm Hg (median; 25th–75th percentile, 48–53 mm Hg) to 108 mm Hg (102–112 mm Hg) on Days 0, 1, and 2 after severe head injury in 13 patients and studied the effects on intracranial pressure (ICP), autoregulation capacity, and brain tissue partial pressure of oxygen. Autoregulation was expressed as a static rate of regulation for 5-mm Hg CPP intervals based on middle cerebral artery flow velocity. When ICP was normal (26 occasions), there were no major changes in the measured variables when CPP was altered from a baseline level of 78 mm Hg (74–83 mm Hg), indicating that the brain was within autoregulation limits. Conversely, when intracranial hypertension was present (11 occasions), CPP reduction to less than 77 mm Hg (73–82 mm Hg) further increased ICP, decreased the static rate of regulation, and decreased brain tissue partial pressure of oxygen, whereas a CPP increase improved these variables, indicating that the brain was operating at the lower limit of autoregulation. We conclude that daily trial manipulation of arterial blood pressure over a wide range can provide information that may be used to optimize CPP management.
Blood | 2016
Theodora A. M. Claushuis; Lonneke A. van Vught; Brendon P. Scicluna; Maryse A. Wiewel; Peter M. C. Klein Klouwenberg; Arie J. Hoogendijk; David S. Y. Ong; Olaf L. Cremer; Janneke Horn; Marek Franitza; Mohammad R. Toliat; Peter Nürnberg; Aeilko H. Zwinderman; Marc J. M. Bonten; Marcus J. Schultz; Tom van der Poll
Preclinical studies have suggested that platelets influence the host response during sepsis. We sought to assess the association of admission thrombocytopenia with the presentation, outcome, and host response in patients with sepsis. Nine hundred thirty-one consecutive sepsis patients were stratified according to platelet counts (very low <50 × 10(9)/L, intermediate-low 50 × 10(9) to 99 × 10(9)/L, low 100 × 10(9) to 149 × 10(9)/L, or normal 150 × 10(9) to 399 × 10(9)/L) on admission to the intensive care unit. Sepsis patients with platelet counts <50 × 10(9)/L and 50 × 10(9) to 99 × 10(9)/L presented with higher Acute Physiology and Chronic Health Evaluation scores and more shock. Both levels of thrombocytopenia were independently associated with increased 30-day mortality (hazard ratios with 95% confidence intervals 2.00 [1.32-3.05] and 1.72 [1.22-2.44], respectively). To account for baseline differences besides platelet counts, propensity matching was performed, after which the association between thrombocytopenia and the host response was tested, as evaluated by measuring 17 plasma biomarkers indicative of activation and/or dysregulation of pathways implicated in sepsis pathogenesis and by whole genome blood leukocyte expression profiling. In the propensity matched cohort, platelet counts < 50 × 10(9)/L were associated with increased cytokine levels and enhanced endothelial cell activation. All thrombocytopenic groups showed evidence of impaired vascular integrity, whereas coagulation activation was similar between groups. Blood microarray analysis revealed a distinct gene expression pattern in sepsis patients with <50 × 10(9)/L platelets, showing reduced signaling in leukocyte adhesion and diapedesis and increased complement signaling. These data show that admission thrombocytopenia is associated with enhanced mortality and a more disturbed host response during sepsis independent of disease severity, thereby providing clinical validity to animal studies on the role of platelets in severe infection.