8 results on '"Romaine, Sam T"'
Search Results
2. A novel framework for phenotyping children with suspected or confirmed infection for future biomarker studies
- Author
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Nijman, Ruud G., Oostenbrink, Rianne, Moll, Henriette A., Casals-Pascual, Climent, von Both, Ulrich, Cunnington, Aubrey, De, Tisham, Eleftheriou, Irini, Emonts, Marieke, Fink, Colin, van der Flier, Michiel, de Groot, Ronald, Kaforou, Myrsini, Kohlmaier, Benno, Kuijpers, Taco W., Lim, Emma, Maconochie, Ian K., Paulus, Stephane, Martinon-Torres, Federico, Pokorn, Marko, Romaine, Sam T., Calle, Irene Rivero, Schlapbach, Luregn J., Smit, Frank J., Tsolia, Maria, Usuf, Effua, Wright, Victoria J., Yeung, Shunmay, Zavadska, Dace, Zenz, Werner, Levin, Michael, Herberg, Jethro A., Carrol, Enitan D., National Institute of Health and Medical Research, and European Commission
- Subjects
serious bacterial infection ,sepsis ,children ,biomarkers ,1114 Paediatrics and Reproductive Medicine ,Pediatrics ,clinical phenotypes ,Original Research ,1199 Other Medical and Health Sciences - Abstract
Background: The limited diagnostic accuracy of biomarkers in children at risk of a serious bacterial infection (SBI) might be due to the imperfect reference standard of SBI. We aimed to evaluate the diagnostic performance of a new classification algorithm for biomarker discovery in children at risk of SBI. Methods: We used data from five previously published, prospective observational biomarker discovery studies, which included patients aged 0–
- Published
- 2021
3. A Novel Framework for Phenotyping Children With Suspected or Confirmed Infection for Future Biomarker Studies
- Author
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Nijman, Ruud G, Oostenbrink, Rianne, Moll, Henriette A, Casals-Pascual, Climent, von Both, Ulrich, Cunnington, Aubrey, De, Tisham, Eleftheriou, Irini, Emonts, Marieke, Fink, Colin, van der Flier, Michiel, de Groot, Ronald, Kaforou, Myrsini, Kohlmaier, Benno, Kuijpers, Taco W, Lim, Emma, Maconochie, Ian K, Paulus, Stephane, Martinon-Torres, Federico, Pokorn, Marko, Romaine, Sam T, Calle, Irene Rivero, Schlapbach, Luregn J, Smit, Frank J, Tsolia, Maria, Usuf, Effua, Wright, Victoria J, Yeung, Shunmay, Zavadska, Dace, Zenz, Werner, Levin, Michael, Herberg, Jethro A, Carrol, Enitan D, and PERFORM consortium (Personalized Risk assessment in febrile chil
- Abstract
Background: The limited diagnostic accuracy of biomarkers in children at risk of a serious bacterial infection (SBI) might be due to the imperfect reference standard of SBI. We aimed to evaluate the diagnostic performance of a new classification algorithm for biomarker discovery in children at risk of SBI. Methods: We used data from five previously published, prospective observational biomarker discovery studies, which included patients aged 0
- Published
- 2021
4. A Novel Framework for Phenotyping Children With Suspected or Confirmed Infection for Future Biomarker Studies
- Author
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Nijman, Ruud G. Oostenbrink, Rianne Moll, Henriette A. and Casals-Pascual, Climent von Both, Ulrich Cunnington, Aubrey and De, Tisham Eleftheriou, Irini Emonts, Marieke Fink, Colin and van der Flier, Michiel de Groot, Ronald Kaforou, Myrsini and Kohlmaier, Benno Kuijpers, Taco W. Lim, Emma Maconochie, Ian K. Paulus, Stephane Martinon-Torres, Federico Pokorn, Marko and Romaine, Sam T. Calle, Irene Rivero Schlapbach, Luregn J. and Smit, Frank J. Tsolia, Maria Usuf, Effua Wright, Victoria J. Yeung, Shunmay Zavadska, Dace Zenz, Werner and Levin, Michael Herberg, Jethro A. Carrol, Enitan D. PERFORM Consortium Personalized Ri
- Abstract
Background: The limited diagnostic accuracy of biomarkers in children at risk of a serious bacterial infection (SBI) might be due to the imperfect reference standard of SBI. We aimed to evaluate the diagnostic performance of a new classification algorithm for biomarker discovery in children at risk of SBI. Methods: We used data from five previously published, prospective observational biomarker discovery studies, which included patients aged 0
- Published
- 2021
5. Performance of seven different paediatric early warning scores to predict critical care admission in febrile children presenting to the emergency department: a retrospective cohort study
- Author
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Romaine, Sam T; https://orcid.org/0000-0001-8411-7967, Sefton, Gerri, Lim, Emma, Nijman, Ruud G, Bernatoniene, Jolanta, Clark, Simon, Schlapbach, Luregn J; https://orcid.org/0000-0003-2281-2598, Pallmann, Philip; https://orcid.org/0000-0001-8274-9696, Carrol, Enitan D, Romaine, Sam T; https://orcid.org/0000-0001-8411-7967, Sefton, Gerri, Lim, Emma, Nijman, Ruud G, Bernatoniene, Jolanta, Clark, Simon, Schlapbach, Luregn J; https://orcid.org/0000-0003-2281-2598, Pallmann, Philip; https://orcid.org/0000-0001-8274-9696, and Carrol, Enitan D
- Abstract
OBJECTIVE Paediatric Early Warning Scores (PEWS) are widely used in the UK, but the heterogeneity across tools and the limited data on their predictive performance represent obstacles to improving best practice. The standardisation of practice through the proposed National PEWS will rely on robust validation. Therefore, we compared the performance of the National PEWS with six other PEWS currently used in NHS hospitals, for their ability to predict critical care (CC) admission in febrile children attending the emergency department (ED). DESIGN Retrospective single-centre cohort study. SETTING Tertiary hospital paediatric ED. PARTICIPANTS A total of 11 449 eligible febrile ED attendances were identified from the electronic patient record over a 2-year period. Seven PEWS scores were calculated (Alder Hey, Bedside, Bristol, National, Newcastle and Scotland PEWS, and the Paediatric Observation Priority Score, using the worst observations recorded during their ED stay. OUTCOMES The primary outcome was CC admission within 48 hours, the secondary outcomes were hospital length of stay (LOS) >48 hours and sepsis-related mortality. RESULTS Of 11 449 febrile children, 134 (1.2%) were admitted to CC within 48 hours of ED presentation, 606 (5.3%) had a hospital LOS >48 hours. 10 (0.09%) children died, 5 (0.04%) were sepsis-related. All seven PEWS demonstrated excellent discrimination for CC admission (range area under the receiver operating characteristic curves (AUC) 0.91-0.95) and sepsis-related mortality (range AUC 0.95-0.99), most demonstrated moderate discrimination for hospital LOS (range AUC 0.69-0.75). In CC admission threshold analyses, bedside PEWS (AUC 0.90; 95% CI 0.86 to 0.93) and National PEWS (AUC 0.90; 0.87-0.93) were the most discriminative, both at a threshold of ≥6. CONCLUSIONS Our results support the use of the proposed National PEWS in the paediatric ED for the recognition of suspected sepsis to improve outcomes, but further validation is required in other s
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- 2021
6. Performance of seven different paediatric early warning scores to predict critical care admission in febrile children presenting to the emergency department: a retrospective cohort study
- Author
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Romaine, Sam T, primary, Sefton, Gerri, additional, Lim, Emma, additional, Nijman, Ruud G, additional, Bernatoniene, Jolanta, additional, Clark, Simon, additional, Schlapbach, Luregn J, additional, Pallmann, Philip, additional, and Carrol, Enitan D, additional
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- 2021
- Full Text
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7. Identifying critically ill children at risk of dying during hospital admission in Malawi: prognostic accuracy of a modified qSOFA score for low-resource settings
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Kumwenda, Mercy, Assies, Roxanne, Snik, Ilse, Chathima, G., Langton, J., Chimalizeni, Y., Romaine, Sam T., van Woensel, J.B., Pallmann, Philip, Carrol, Enitan D., Calis, J.C., Kumwenda, Mercy, Assies, Roxanne, Snik, Ilse, Chathima, G., Langton, J., Chimalizeni, Y., Romaine, Sam T., van Woensel, J.B., Pallmann, Philip, Carrol, Enitan D., and Calis, J.C.
- Abstract
BACKGROUND AND AIM: In low-resource settings, a reliable bedside score to identify children at risk of dying could help focus resources and improve survival. The rapid bedside Liverpool quick sequential organ failure assessment (LqSOFA) uses clinical parameters only and performed well in the UK, but has not been validated in a low-resource setting. METHOD: In a cohort of critically ill children in Malawi, we calculated LqSOFA-scores using age-adjusted heart rate and respiratory rate, capillary refill time and Blantyre Coma Scale and evaluated its prognostic performance for mortality. An improved score, the Blantyre qSOFA (BqSOFA), was developed (omitting heart rate, adjusting respiratory rate cut-off values and adding pallor), subsequently validated in a second cohort of Malawian children, and compared with an existing more complex score (FEAST-PET). Prognostic performance for mortality was evaluated using area under the receiver operating characteristic curve (AUC). RESULTS: Mortality was 15.4% in the derivation (n=493) and 22.0% in the validation cohort (n=377). In the derivation cohort, discriminative ability (AUC) of the LqSOFA to predict mortality was 0.68 (95%-CI: 0.60-0.76). The BqSOFA and FEAST-PET yielded AUCs of 0.84 (95%-CI: 0.79-0.89) and 0.83 (95%-CI: 0.77-0.89) in the derivation cohort, and 0.74 (95%-CI: 0.68-0.79) and 0.76 (95%-CI: 0.70-0.82) in the validation cohort, respectively. CONCLUSIONS: We developed a simple prognostic score for Malawian children based on four clinical parameters which performed as well as more complex scores. The BqSOFA might be used to promptly identify critically ill children at risk of dying and prioritize hospital care in low-resource settings.
8. A Novel Framework for Phenotyping Children With Suspected or Confirmed Infection for Future Biomarker Studies.
- Author
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Nijman RG, Oostenbrink R, Moll HA, Casals-Pascual C, von Both U, Cunnington A, De T, Eleftheriou I, Emonts M, Fink C, van der Flier M, de Groot R, Kaforou M, Kohlmaier B, Kuijpers TW, Lim E, Maconochie IK, Paulus S, Martinon-Torres F, Pokorn M, Romaine ST, Calle IR, Schlapbach LJ, Smit FJ, Tsolia M, Usuf E, Wright VJ, Yeung S, Zavadska D, Zenz W, Levin M, Herberg JA, and Carrol ED
- Abstract
Background: The limited diagnostic accuracy of biomarkers in children at risk of a serious bacterial infection (SBI) might be due to the imperfect reference standard of SBI. We aimed to evaluate the diagnostic performance of a new classification algorithm for biomarker discovery in children at risk of SBI. Methods: We used data from five previously published, prospective observational biomarker discovery studies, which included patients aged 0- <16 years: the Alder Hey emergency department ( n = 1,120), Alder Hey pediatric intensive care unit ( n = 355), Erasmus emergency department ( n = 1,993), Maasstad emergency department ( n = 714) and St. Mary's hospital ( n = 200) cohorts. Biomarkers including procalcitonin (PCT) (4 cohorts), neutrophil gelatinase-associated lipocalin-2 (NGAL) (3 cohorts) and resistin (2 cohorts) were compared for their ability to classify patients according to current standards (dichotomous classification of SBI vs. non-SBI), vs. a proposed PERFORM classification algorithm that assign patients to one of eleven categories. These categories were based on clinical phenotype, test outcomes and C-reactive protein level and accounted for the uncertainty of final diagnosis in many febrile children. The success of the biomarkers was measured by the Area under the receiver operating Curves (AUCs) when they were used individually or in combination. Results: Using the new PERFORM classification system, patients with clinically confident bacterial diagnosis ("definite bacterial" category) had significantly higher levels of PCT, NGAL and resistin compared with those with a clinically confident viral diagnosis ("definite viral" category). Patients with diagnostic uncertainty had biomarker concentrations that varied across the spectrum. AUCs were higher for classification of "definite bacterial" vs. "definite viral" following the PERFORM algorithm than using the "SBI" vs. "non-SBI" classification; summary AUC for PCT was 0.77 (95% CI 0.72-0.82) vs. 0.70 (95% CI 0.65-0.75); for NGAL this was 0.80 (95% CI 0.69-0.91) vs. 0.70 (95% CI 0.58-0.81); for resistin this was 0.68 (95% CI 0.61-0.75) vs. 0.64 (0.58-0.69) The three biomarkers combined had summary AUC of 0.83 (0.77-0.89) for "definite bacterial" vs. "definite viral" infections and 0.71 (0.67-0.74) for "SBI" vs. "non-SBI." Conclusion: Biomarkers of bacterial infection were strongly associated with the diagnostic categories using the PERFORM classification system in five independent cohorts. Our proposed algorithm provides a novel framework for phenotyping children with suspected or confirmed infection for future biomarker studies., Competing Interests: CF is affiliated with Micropathology Ltd., an Independent Rapid Diagnosis & Biomedical Research Company. Micropathology Ltd. provides a clinically supported service for the rapid diagnosis and management of infectious and genetic disease. It is a formal partner of the PERFORM research consortium. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Nijman, Oostenbrink, Moll, Casals-Pascual, von Both, Cunnington, De, Eleftheriou, Emonts, Fink, van der Flier, de Groot, Kaforou, Kohlmaier, Kuijpers, Lim, Maconochie, Paulus, Martinon-Torres, Pokorn, Romaine, Calle, Schlapbach, Smit, Tsolia, Usuf, Wright, Yeung, Zavadska, Zenz, Levin, Herberg, Carrol and the PERFORM consortium (Personalized Risk assessment in febrile children to optimize Real-life Management across the European Union).)
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- 2021
- Full Text
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