9 results on '"van Hooijdonk, Roosmarijn T.M."'
Search Results
2. Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study
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de Beer, Friso M., Bos, Lieuwe D.J., Frencken, Jos F., Koster-Brouwer, Maria E., van de Groep, Kirsten, Verboom, Diana M., Glas, Gerie J., van Hooijdonk, Roosmarijn T.M., Hoogendijk, Arie J., Huson, Mischa A., Klouwenberg, Peter M. Klein, Ong, David S.Y., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, Scicluna, Brendon P, van Vught, Lonneke A, Zwinderman, Aeilko H, Wiewel, Maryse A, Davenport, Emma E, Burnham, Katie L, Nürnberg, Peter, Schultz, Marcus J, Horn, Janneke, Cremer, Olaf L, Bonten, Marc J, Hinds, Charles J, Wong, Hector R, Knight, Julian C, and van der Poll, Tom
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- 2017
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3. Myocardial Injury in Patients With Sepsis and Its Association With Long-Term Outcome
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Frencken, Jos F., Donker, Dirk W., Spitoni, Cristian, Koster-Brouwer, Marlies E., Soliman, Ivo W., Ong, David S.Y., Horn, Janneke, van der Poll, Tom, van Klei, Wilton A., Bonten, Marc J.M., Cremer, Olaf L., de Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., van Hooijdonk, Roosmarijn T.M., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, van Vught, Lonneke A., Wiewel, Maryse, Hoogendijk, Arie J., Huson, Mischa A., Scicluna, Brendon, Schultz, Marcus J., Klein Klouwenberg, Peter M.C., van de Groep, Kirsten, and Verboom, Diana
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- 2018
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4. Predicting the clinical trajectory in critically ill patients with sepsis: A cohort study
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Klein Klouwenberg, Peter M.C., Spitoni, Cristian, Van Der Poll, Tom, Bonten, Marc J., Cremer, Olaf L., Frencken, Jos F., Van De Groep, Kirsten, Koster-Brouwer, Marlies E., Ong, David S.Y., Verboom, Diana, De Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., Van Hooijdonk, Roosmarijn T.M., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, Hoogendijk, Arie J., Huson, Mischa A., Van Vught, Lonneke A., Klein Klouwenberg, Peter M.C., Spitoni, Cristian, Van Der Poll, Tom, Bonten, Marc J., Cremer, Olaf L., Frencken, Jos F., Van De Groep, Kirsten, Koster-Brouwer, Marlies E., Ong, David S.Y., Verboom, Diana, De Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., Van Hooijdonk, Roosmarijn T.M., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, Hoogendijk, Arie J., Huson, Mischa A., and Van Vught, Lonneke A.
- Abstract
Background: To develop a mathematical model to estimate daily evolution of disease severity using routinely available parameters in patients admitted to the intensive care unit (ICU). Methods: Over a 3-year period, we prospectively enrolled consecutive adults with sepsis and categorized patients as (1) being at risk for developing (more severe) organ dysfunction, (2) having (potentially still reversible) limited organ failure, or (3) having multiple-organ failure. Daily probabilities for transitions between these disease states, and to death or discharge, during the first 2 weeks in ICU were calculated using a multi-state model that was updated every 2 days using both baseline and time-varying information. The model was validated in independent patients. Results: We studied 1371 sepsis admissions in 1251 patients. Upon presentation, 53 (4%) were classed at risk, 1151 (84%) had limited organ failure, and 167 (12%) had multiple-organ failure. Among patients with limited organ failure, 197 (17%) evolved to multiple-organ failure or died and 809 (70%) improved or were discharged alive within 14 days. Among patients with multiple-organ failure, 67 (40%) died and 91 (54%) improved or were discharged. Treatment response could be predicted with reasonable accuracy (c-statistic ranging from 0.55 to 0.81 for individual disease states, and 0.67 overall). Model performance in the validation cohort was similar. Conclusions: This prediction model that estimates daily evolution of disease severity during sepsis may eventually support clinicians in making better informed treatment decisions and could be used to evaluate prognostic biomarkers or perform in silico modeling of novel sepsis therapies during trial design.
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- 2019
5. Effect of cytomegalovirus reactivation on the time course of systemic host response biomarkers in previously immunocompetent critically ill patients with sepsis : A matched cohort study
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Van De Groep, K., Nierkens, Stefan, Cremer, Olaf L., Peelen, Linda M., Klein Klouwenberg, Peter M.C., Schultz, Marcus J., Hack, C. Erik, Van Der Poll, Tom, Bonten, Marc J.M., Ong, David S.Y., De Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., Hoogendijk, Arie J., Van Hooijdonk, Roosmarijn T.M., Horn, Janneke, Huson, Mischa A., Juffermans, Nicole P., Schouten, Laura R.A., Scicluna, Brendon, Straat, Marleen, Van Vught, Lonneke A., Wieske, Luuk, Wiewel, Maryse A., Witteveen, Esther, Frencken, Jos F., Koster-Brouwer, Maria E., Varkila, Meri R.J., Verboom, Diana M., Intensive Care Medicine, Center of Experimental and Molecular Medicine, ACS - Diabetes & metabolism, ACS - Pulmonary hypertension & thrombosis, and ACS - Microcirculation
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Male ,Critical Illness ,Congenital cytomegalovirus infection ,Cytomegalovirus ,Inflammation ,Viremia ,Critical Care and Intensive Care Medicine ,Cohort Studies ,Sepsis ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Clinical endpoint ,Host response ,Humans ,030212 general & internal medicine ,Critically ill ,Aged ,Chi-Square Distribution ,Interleukin-6 ,business.industry ,Research ,Elastase ,lcsh:Medical emergencies. Critical care. Intensive care. First aid ,virus diseases ,030208 emergency & critical care medicine ,lcsh:RC86-88.9 ,Middle Aged ,medicine.disease ,Reactivation ,Immunity, Humoral ,Interleukin-10 ,Chemokine CXCL10 ,Intensive Care Units ,Interleukin 1 Receptor Antagonist Protein ,Cytomegalovirus Infections ,Immunology ,Biomarker (medicine) ,Female ,Virus Activation ,medicine.symptom ,Serostatus ,business ,Biomarkers - Abstract
Background Cytomegalovirus (CMV) reactivation in previously immunocompetent critically ill patients is associated with increased mortality, which has been hypothesized to result from virus-induced immunomodulation. Therefore, we studied the effects of CMV reactivation on the temporal course of host response biomarkers in patients with sepsis. Methods In this matched cohort study, each sepsis patient developing CMV reactivation between day 3 and 17 (CMV+) was compared with one CMV seropositive patient without reactivation (CMVs+) and one CMV seronegative patient (CMVs−). CMV serostatus and plasma loads were determined by enzyme-linked immunoassays and real-time polymerase chain reaction, respectively. Systemic interleukin-6 (IL-6), IL-8, IL-18, interferon-gamma–induced protein-10 (IP-10), neutrophilic elastase, IL-1 receptor antagonist (RA), and IL-10 were measured at five time points by multiplex immunoassay. The effects of CMV reactivation on sequential concentrations of these biomarkers were assessed in multivariable mixed models. Results Among 64 CMV+ patients, 45 could be matched to CMVs+ or CMVs− controls or both. The two baseline characteristics and host response biomarker levels at viremia onset were similar between groups. CMV+ patients had increased IP-10 on day 7 after viremia onset (symmetric percentage difference +44% versus −15% when compared with CMVs+ and +37% versus +4% when compared with CMVs−) and decreased IL-1RA (−41% versus 0% and −49% versus +10%, respectively). However, multivariable analyses did not show an independent association between CMV reactivation and time trends of IL-6, IP-10, IL-10, or IL-1RA. Conclusion CMV reactivation was not independently associated with changes in the temporal trends of host response biomarkers in comparison with non-reactivating patients. Therefore, these markers should not be used as surrogate clinical endpoints for interventional studies evaluating anti-CMV therapy. Electronic supplementary material The online version of this article (10.1186/s13054-018-2261-0) contains supplementary material, which is available to authorized users.
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- 2018
6. Iron metabolism in critically ill patients developing anemia of inflammation : a case control study
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Boshuizen, Margit, Binnekade, Jan M., Nota, Benjamin, van de Groep, Kirsten, Cremer, Olaf L., Tuinman, Pieter R., Horn, Janneke, Schultz, Marcus J., van Bruggen, Robin, Juffermans, Nicole P., de Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., van Hooijdonk, Roosmarijn T.M., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, Hoogendijk, Arie J., Huson, Mischa A., Scicluna, Brendon P., van der Poll, Tom, van Vught, Lonneke A., Wiewel, Maryse A., Bonten, Marc J.M., Frencken, Jos F., Klein Klouwenberg, Peter M.C., Koster-Brouwer, Maria E., Ong, David S.Y., Verboom, Diana M., and Molecular Diagnosis and Risk Stratification of Sepsis (MARS) Consortium
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Inflammation ,Critical care ,Iron ,Sepsis ,Hepcidin ,Anemia ,Critical Care and Intensive Care Medicine - Abstract
Background: Anemia occurring as a result of inflammatory processes (anemia of inflammation, AI) has a high prevalence in critically ill patients. Knowledge on changes in iron metabolism during the course of AI is limited, hampering the development of strategies to counteract AI. This case control study aimed to investigate iron metabolism during the development of AI in critically ill patients. Methods: Iron metabolism in 30 patients who developed AI during ICU stay was compared with 30 septic patients with a high Hb and 30 non-septic patients with a high Hb. Patients were matched on age and sex. Longitudinally collected plasma samples were analyzed for levels of parameters of iron metabolism. A linear mixed model was used to assess the predictive values of the parameters. Results: In patients with AI, levels of iron, transferrin and transferrin saturation showed an early decrease compared to controls with a high Hb, already prior to the development of anemia. Ferritin, hepcidin and IL-6 levels were increased in AI compared to controls. During AI development, erythroferrone decreased. Differences in iron metabolism between groups were not influenced by APACHE IV score. Conclusions: The results show that in critically ill patients with AI, iron metabolism is already altered prior to the development of anemia. Levels of iron regulators in AI differ from septic controls with a high Hb, irrespective of disease severity. AI is characterized by high levels of hepcidin, ferritin and IL-6 and low levels of iron, transferrin and erythroferrone.
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- 2018
7. Effect of cytomegalovirus reactivation on the time course of systemic host response biomarkers in previously immunocompetent critically ill patients with sepsis: a matched cohort study
- Author
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Epi Infectieziekten Team 1, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, CDL Patiëntenzorg MI, Medische Staf Intensive Care, Epi Infectieziekten Team 2, JC onderzoeksprogramma Methodologie, MMB opleiding Arts microbioloog, CTI, Epi Infectieziekten, MMB, Van De Groep, K., Nierkens, Stefan, Cremer, Olaf L., Peelen, Linda M., Klein Klouwenberg, Peter M.C., Schultz, Marcus J., Hack, C. Erik, Van Der Poll, Tom, Bonten, Marc J.M., Ong, David S.Y., De Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., Hoogendijk, Arie J., Van Hooijdonk, Roosmarijn T.M., Horn, Janneke, Huson, Mischa A., Juffermans, Nicole P., Schouten, Laura R.A., Scicluna, Brendon, Straat, Marleen, Van Vught, Lonneke A., Wieske, Luuk, Wiewel, Maryse A., Witteveen, Esther, Frencken, Jos F., Koster-Brouwer, Maria E., Varkila, Meri R.J., Verboom, Diana M., Epi Infectieziekten Team 1, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, CDL Patiëntenzorg MI, Medische Staf Intensive Care, Epi Infectieziekten Team 2, JC onderzoeksprogramma Methodologie, MMB opleiding Arts microbioloog, CTI, Epi Infectieziekten, MMB, Van De Groep, K., Nierkens, Stefan, Cremer, Olaf L., Peelen, Linda M., Klein Klouwenberg, Peter M.C., Schultz, Marcus J., Hack, C. Erik, Van Der Poll, Tom, Bonten, Marc J.M., Ong, David S.Y., De Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., Hoogendijk, Arie J., Van Hooijdonk, Roosmarijn T.M., Horn, Janneke, Huson, Mischa A., Juffermans, Nicole P., Schouten, Laura R.A., Scicluna, Brendon, Straat, Marleen, Van Vught, Lonneke A., Wieske, Luuk, Wiewel, Maryse A., Witteveen, Esther, Frencken, Jos F., Koster-Brouwer, Maria E., Varkila, Meri R.J., and Verboom, Diana M.
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- 2018
8. Iron metabolism in critically ill patients developing anemia of inflammation: a case control study
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Epi Infectieziekten Team 1, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, Medische Staf Intensive Care, Epi Infectieziekten, MMB opleiding Arts microbioloog, Boshuizen, Margit, Binnekade, Jan M., Nota, Benjamin, van de Groep, Kirsten, Cremer, Olaf L., Tuinman, Pieter R., Horn, Janneke, Schultz, Marcus J., van Bruggen, Robin, Juffermans, Nicole P., de Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., van Hooijdonk, Roosmarijn T.M., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, Hoogendijk, Arie J., Huson, Mischa A., Scicluna, Brendon P., van der Poll, Tom, van Vught, Lonneke A., Wiewel, Maryse A., Bonten, Marc J.M., Frencken, Jos F., Klein Klouwenberg, Peter M.C., Koster-Brouwer, Maria E., Ong, David S.Y., Verboom, Diana M., Molecular Diagnosis and Risk Stratification of Sepsis (MARS) Consortium, Epi Infectieziekten Team 1, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, Medische Staf Intensive Care, Epi Infectieziekten, MMB opleiding Arts microbioloog, Boshuizen, Margit, Binnekade, Jan M., Nota, Benjamin, van de Groep, Kirsten, Cremer, Olaf L., Tuinman, Pieter R., Horn, Janneke, Schultz, Marcus J., van Bruggen, Robin, Juffermans, Nicole P., de Beer, Friso M., Bos, Lieuwe D.J., Glas, Gerie J., van Hooijdonk, Roosmarijn T.M., Schouten, Laura R.A., Straat, Marleen, Witteveen, Esther, Wieske, Luuk, Hoogendijk, Arie J., Huson, Mischa A., Scicluna, Brendon P., van der Poll, Tom, van Vught, Lonneke A., Wiewel, Maryse A., Bonten, Marc J.M., Frencken, Jos F., Klein Klouwenberg, Peter M.C., Koster-Brouwer, Maria E., Ong, David S.Y., Verboom, Diana M., and Molecular Diagnosis and Risk Stratification of Sepsis (MARS) Consortium
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- 2018
9. Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study
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Scicluna, Brendon P, primary, van Vught, Lonneke A, additional, Zwinderman, Aeilko H, additional, Wiewel, Maryse A, additional, Davenport, Emma E, additional, Burnham, Katie L, additional, Nürnberg, Peter, additional, Schultz, Marcus J, additional, Horn, Janneke, additional, Cremer, Olaf L, additional, Bonten, Marc J, additional, Hinds, Charles J, additional, Wong, Hector R, additional, Knight, Julian C, additional, van der Poll, Tom, additional, de Beer, Friso M., additional, Bos, Lieuwe D.J., additional, Frencken, Jos F., additional, Koster-Brouwer, Maria E., additional, van de Groep, Kirsten, additional, Verboom, Diana M., additional, Glas, Gerie J., additional, van Hooijdonk, Roosmarijn T.M., additional, Hoogendijk, Arie J., additional, Huson, Mischa A., additional, Klouwenberg, Peter M. Klein, additional, Ong, David S.Y., additional, Schouten, Laura R.A., additional, Straat, Marleen, additional, Witteveen, Esther, additional, and Wieske, Luuk, additional
- Published
- 2017
- Full Text
- View/download PDF
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