HLA class II associations with rheumatic heart disease among clinically homogeneous patients in children in Latvia

Genetic control of immune reactions has a major role in the development of rheumatic heart disease (RHD) and differs between patients with rheumatic fever (RF). Some authors think the risk of acquiring RHD is associated with the HLA class II DR and DQ loci, but other views exist, due to the various HLA-typing methods and ways of grouping cases. Our goal was to determine the relations between HLA class II alleles and risk of or protection from RF in patients with relatively homogeneous clinical manifestations. A total of 70 RF patients under the age of 18 years were surveyed in Latvia. HLA genotyping of DRB1*01 to DRB1*18 and DQB1*0201-202, *0301-305, *0401-402, *0501-504, and *0601-608 was performed using polymerase chain reaction sequence-specific primers. Data for a control group of 100 healthy individuals typed for HLA by the same method were available from the databank of the Immunology Institute of Latvia. Of the RF patients, 47 had RHD and 8 had Sydenham's chorea. We concluded that HLA class II DRB1*07-DQB1*0401-2 and DRB1*07-DQB1*0302 could be the risk alleles and HLA class II DRB1*06 and DQB1*0602-8, the protective ones. Patients with mitral valve regurgitation more often had DRB1*07 and DQB1*0401-2, and patients with multivalvular lesions more often had DRB1*07 and DQB1*0302. In Sydenham's chorea patients, the DQB1*0401-2 allele was more frequent. Genotyping control showed a high risk of RF and RHD in patients with DRB1*01-DQB1*0301-DRB1*07-DQB1*0302 and DRB1*15-DQB1*0302-DRB1*07-DQB1*0303

HLA class II DR and DQ genotypes and haplotypes associated with rheumatic fever among a clinically homogeneous patient population of Latvian children

Copyright: Copyright 2008 Elsevier B.V., All rights reserved.The HLA system is being paid more and more attention because it is very significant in polymorphous immunological reactions. Several studies have suggested that genetic susceptibility to rheumatic fever (RF) and rheumatic heart disease (RHD) is linked to HLA class II alleles. We hypothesized that HLA class II associations within RHD may be more consistent if analysed amongst patients with a relatively homogeneous clinical outcome. A total of 70 RF patients under the age of 18 years were surveyed and analysed in Latvia. HLA genotyping of DQA1, DQB1 and DRB1 was performed using PCR with amplification with sequence-specific primers. We also used results from a previous study of DQB1 and DRB1 genotyping. In the RF patients, HLA class II DQA1*0401 was found more frequently compared to DQA1*0102. In the RF homogeneous patient groups, DQA1*0402 has the highest odds ratio. This is also the case in the multivalvular lesion (MVL) group, together with DQA1*0501 and DQA1*0301. In the chorea minor patients, DQA1*0201 was often found. Significant HLA DQA1 protective genotypes were not detected, although DQA1 genotypes *0103/ *0201 and *0301/*0501 were found significantly and frequently. In the distribution of HLA DRB1/DQA1 genotypes, *07/ *0201 and *01/*0501 were frequently detected; these also occurred significantly often in the MVL group. The genotype *07/*0201 was frequently found in Sydenhamn's chorea patients that had also acquired RHD, but DRB1*04/DQA1*0401 was often apparent in RF patients without RHD. In the distribution of HLA DQA1/DQB1 genotypes, both in RF patients and in the homogeneous patient groups, the least frequent were *0102/*0602-8. The genotype DQA1*0501 with the DQB1 risk allele *0301 was often found in the MVL group. The genotype *0301/*0401-2 was frequently found in the RF and Sydenhamn's chorea patient groups. The haplotype *07-*0201-*0302 was frequently found in RF and homogeneous patient groups, including the MVL group. In addition, haplotypes *04-*0401-*0301 and *04-*0301-*0401-2 were frequent amongst patients with Sydenhamn's chorea. The protective alleles DQA1*0102 and DQB1*0602-8 in the haplotype DRB1*15 were less frequently found in RF patients. The results of the present study support our hypothesis and indicate that certain HLA class II haplotypes are associated with risk for or protection against RHD and that these associations are more evident in patients in clinically homogeneous groups.Peer reviewe

Integrating Clinical Signs at Presentation and Clinician's Non-analytical Reasoning in Prediction Models for Serious Bacterial Infection in Febrile Children Presenting to Emergency Department

Funding Information: The study was partially derived from the PERFORM (Personalised Risk Assessment in Febrile Illness to Optimise Real-Life Management Across the European Union) project, which has been supported by funding received from the European Union's Horizon 2020 research and innovation program (PERFORM) under Grant Agreement No. 668303. Publisher Copyright: Copyright © 2022 Urbane, Petrosina, Zavadska and Pavare.Objective: Development and validation of clinical prediction model (CPM) for serious bacterial infections (SBIs) in children presenting to the emergency department (ED) with febrile illness, based on clinical variables, clinician's “gut feeling,” and “sense of reassurance. Materials and Methods: Febrile children presenting to the ED of Children's Clinical University Hospital (CCUH) between April 1, 2017 and December 31, 2018 were enrolled in a prospective observational study. Data on clinical signs and symptoms at presentation, together with clinician's “gut feeling” of something wrong and “sense of reassurance” were collected as candidate variables for CPM. Variable selection for the CPM was performed using stepwise logistic regression (forward, backward, and bidirectional); Akaike information criterion was used to limit the number of parameters and simplify the model. Bootstrapping was applied for internal validation. For external validation, the model was tested in a separate dataset of patients presenting to six regional hospitals between January 1 and March 31, 2019. Results: The derivation cohort consisted of 517; 54% (n = 279) were boys, and the median age was 58 months. SBI was diagnosed in 26.7% (n = 138). Validation cohort included 188 patients; the median age was 28 months, and 26.6% (n = 50) developed SBI. Two CPMs were created, namely, CPM1 consisting of six clinical variables and CPM2 with four clinical variables plus “gut feeling” and “sense of reassurance.” The area under the curve (AUC) for receiver operating characteristics (ROC) curve of CPM1 was 0.744 (95% CI, 0.683–0.805) in the derivation cohort and 0.692 (95% CI, 0.604–0.780) in the validation cohort. AUC for CPM2 was 0.783 (0.727–0.839) and 0.752 (0.674–0.830) in derivation and validation cohorts, respectively. AUC of CPM2 in validation population was significantly higher than that of CPM1 [p = 0.037, 95% CI (−0.129; −0.004)]. A clinical evaluation score was derived from CPM2 to stratify patients in “low risk,” “gray area,” and “high risk” for SBI. Conclusion: Both CPMs had moderate ability to predict SBI and acceptable performance in the validation cohort. Adding variables “gut feeling” and “sense of reassurance” in CPM2 improved its ability to predict SBI. More validation studies are needed for the assessment of applicability to all febrile patients presenting to ED.publishersversionPeer reviewe

A preliminary study on essential minerals in human milk : Association with dietary habits

Publisher Copyright: © 2017 Jelgava : Latvia University of Agriculture.Human milk provides infant with the required nutrients for growth and development. The aim of preliminary study was to determine macro-and micronutrients content in mature human milk among lactating women residing in Latvia and dietary habits affecting it. The study was carried out from November 2016 to February 2017. In total, 24 pooled diurnal milk samples were collected from mothers whose infants had reached the age of at least two months. Personal information of each participant was recorded, including mother's age, weight and height parameters, sex and age of an infant, parity, breastfeeding pattern, milk expression method used for sampling. Eating habits were obtained using Monthly Food Frequency Questionnaire. Analysed elements were determined using inductively coupled plasma mass spectrometry (ICP-MS Agilent 7700x, Japan). Concentrations ranged from 227.52 to 398.34 mg L-1 for calcium, 58.56-256.38 mg L-1 for sodium, 445.33-736.71 mg L-1 for potassium, 25.73-49.52 mg L-1 for magnesium, till 3.17 mg L-1 for iron, 0.28-2.77 mg L-1 for zinc, 0.06-0.43 mg L-1 for copper, 2.00-44.00 μg L-1 for manganese, 1.00-10.00 μg L-1 for chrome which is comparable to data obtained from other studies although chrome and manganese concentration was even higher than observed in literature. Cobalt and selenium content was below detection limit. Zinc content in human milk negatively correlated with baby's age (p < 0.05). The content of majority of essential minerals in human milk was affected by mother's dietary habits; however, more samples need to be analysed for representative conclusions.publishersversionPeer reviewe

Zinc content in breast milk and its association with maternal diet

Funding Information: Funding: This research was funded by the grant Strengthening Research Capacity in the Latvia University of Life Sciences and Technologies, Contract No. 3.2.-10/44, Project No. Z2. Funding Information: Conflicts of Interest: L¯ıva Aumeistere has received a grant from the Latvia University of Life Sciences and Technologies (Contract No. 3.2.-10/44, Project No. Z2). Inga Ciprovicˇa is working at the Latvia University of Life Sciences and Technologies. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. All other authors declare no conflict of interest. Publisher Copyright: © 2018 by the authors. Licensee MDPI, Basel, Switzerland.Background: Zinc is an indispensable element, being involved in many biological processes. Correspondingly, insufficient zinc intake in early youth can detrimentally affect the function of a growing body. The aim of this study was to determine zinc content in breast milk among lactating women in Latvia and factors (maternal diet; mother’s and baby’s characteristics; breastfeeding pattern) affecting it. Methods: In total, 62 mature milk (at least one month postpartum) samples were collected and pooled within 24 h. Zinc content (mg 100 mL−1) was determined using inductively coupled plasma mass spectrometry (ICP-MS; Agilent 7700×, Agilent Technologies, Tokyo, Japan). Results: Zinc content in mature breast milk ranged from 0.01 to 0.34 mg 100 mL−1 with a median (interquartile range) content of 0.10 (0.05–0.15) mg 100 mL−1. Time postpartum was a significant negative predictor for zinc content in breast milk (r = −0.500; p = 0.000). Median maternal zinc intake was 10.70 (7.24–15.27) mg. Yet, zinc content in breast milk was unaffected by maternal dietary zinc intake (r = 0.155; p = 0.221). Conclusions: Maternal dietary zinc intake was nearly the recommended intake for lactating women (11 mg), but due to low zinc content in breast milk, babies in Latvia might not receive sufficient zinc intake. Future research should aim for the assessment of zinc status by evaluating plasma or serum levels of both mothers and babies.publishersversionPeer reviewe

The role of NITAGs in government decisions on vaccine use : insights from the Fifth Global NITAG Network meeting

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Impact of maternal diet on human milk composition among lactating women in Latvia

Funding Information: Conflicts of Interest: L¯ıva Aumeistere has received a grant from the Latvia University of Life Sciences and Technologies (Contract No. 3.2.-10/44, Project No. Z2). Inga Ciprovicˇa is working at the Latvia University of Life Sciences and Technologies. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. Other authors declare no conflict of interest. Funding Information: Funding: This research was funded by the grant Strengthening Research Capacity in the Latvia University of Life Sciences and Technologies, Contract No. 3.2.-10/44, Project No. Z2. Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.Background and objectives: Many studies indicate that the maternal diet is an important factor affecting human milk composition. Human milk composition among lactating women in Latvia, as well as the maternal diet during lactation, has not been sufficiently studied. The aim of this research was to assess dietary habits and macronutrient intake among lactating women in Latvia and to examine the effect of diet on human milk composition. Materials and Methods: Research was conducted between November 2016 and December 2017. Mature human milk samples (n = 61) along with a 72h food diary, a food frequency questionnaire (FFQ), and a questionnaire about maternal and infant characteristics were obtained from voluntary women who were recruited via an invitation published in a social media member group for nursing mothers. Fat content in human milk was determined by LVS ISO 2446:2008, protein content was determined by LVS EN ISO 8968-1:2014, lactose was determined by ISO 22662:2007, and the fatty acid profile was analyzed using gas chromatography. Dietary data were evaluated using the Finnish food composition database Fineli, release 19 (3 March 2018). Results: Median values for fat, protein, and lactose in mature human milk were 4.40%, 1.08%, and 6.52%, respectively. Predominant fatty acids in human milk were oleic acid (C18:1 n9c), palmitic acid (C16:0), and linoleic acid (C18:2 n6c) at 34.60%, 24.00%, and 11.00% of total fatty acids, respectively. The trans elaidic acid (C18:1 n9t) level was <0.10% in all human milk samples. Significant, positive associations (p < 0.05) were found between maternal dietary intake of linoleic, α-linolenic, docosahexaenoic, total cis-monounsaturated, total cis-polyunsaturated, and total n-6 and n-3 polyunsaturated fatty acids, the ratio of n-6/n-3, and the level of these fatty acids in human milk. Total energy and carbohydrate intake among participants were lower, but total fat, saturated fat, and sugar intake were higher than recommended. Protein, linoleic acid, and α-linolenic acid intake were adequate, but docosahexaenoic acid intake was noticeably lower than recommended. Women should be supported with information regarding their nutritional needs during lactation and the possible impact of diet on human milk composition. Conclusion: Macronutrient (fat, protein, and lactose) content in human milk is not affected by maternal diet. Conversely, the human milk fatty acid profile is affected by the immediate diet consumed by the mother. Habitual dietary habits can also impact the fatty acid profile of human milk.publishersversionPeer reviewe

Febrile illness in high-risk children : a prospective, international observational study

Funding Information: This project received funding under the European Union’s Horizon2020 research and innovation programme, grant agreement number 668303. UK enrolment was supported by NIHR Biomedical Research Centres at Imperial College London, and Newcastle. Publisher Copyright: © 2022, The Author(s).To assess and describe the aetiology and management of febrile illness in children with primary or acquired immunodeficiency at high risk of serious bacterial infection, as seen in emergency departments in tertiary hospitals. Prospective data on demographics, presenting features, investigations, microbiology, management, and outcome of patients within the ‘Biomarker Validation in HR patients’ database in PERFORM, were analysed. Immunocompromised children (< 18 years old) presented to fifteen European hospitals in nine countries, and one Gambian hospital, with fever or suspected infection and clinical indication for blood investigations. Febrile episodes were assigned clinical phenotypes using the validated PERFORM algorithm. Logistic regression was used to assess the effect size of predictive features of proven/presumed bacterial or viral infection. A total of 599 episodes in 482 children were analysed. Seventy-eight episodes (13.0%) were definite bacterial, 67 episodes probable bacterial (11.2%), and 29 bacterial syndrome (4.8%). Fifty-five were definite viral (9.2%), 49 probable viral (8.2%), and 23 viral syndrome (3.8%). One hundred ninety were unknown bacterial or viral infections (31.7%), and 108 had inflammatory or other non-infectious causes of fever (18.1%). Predictive features of proven/presumed bacterial infection were ill appearance (OR 3.1 (95% CI 2.1–4.6)) and HIV (OR 10.4 (95% CI 2.0–54.4)). Ill appearance reduced the odds of having a proven/presumed viral infection (OR 0.5 (95% CI 0.3–0.9)). A total of 82.1% had new empirical antibiotics started on admission (N = 492); 94.3% proven/presumed bacterial (N = 164), 66.1% proven/presumed viral (N = 84), and 93.2% unknown bacterial or viral infections (N = 177). Mortality was 1.9% (N = 11) and 87.1% made full recovery (N = 522). Conclusion: The aetiology of febrile illness in immunocompromised children is diverse. In one-third of cases, no cause for the fever will be identified. Justification for standard intravenous antibiotic treatment for every febrile immunocompromised child is debatable, yet effective. Better clinical decision-making tools and new biomarkers are needed for this population.What is Known:• Immunosuppressed children are at high risk for morbidity and mortality of serious bacterial and viral infection, but often present with fever as only clinical symptom.• Current diagnostic measures in this group are not specific to rule out bacterial infection, and positivity rates of microbiological cultures are low.What is New:• Febrile illness and infectious complications remain a significant cause of mortality and morbidity in HR children, yet management is effective.• The aetiology of febrile illness in immunocompromised children is diverse, and development of pathways for early discharge or cessation of intravenous antibiotics is debatable, and requires better clinical decision-making tools and biomarkers.publishersversionPeer reviewe

Relationship between molecular pathogen detection and clinical disease in febrile children across Europe : a multicentre, prospective observational study

Funding Information: EU Horizon 2020 grant 668303.We are grateful to all patients and families that contributed towards this study. This project received funding under the European Union's Horizon 2020 Research and Innovation program under grant agreement number 668303. PERFORM consortium activities included obtaining study funding, patient recruitment, clinical data collection and entry, assignment of patient phenotypes, processing and storage of research samples used in this analysis, and molecular pathogen testing. The PERFORM Consortium, The members of the PERFORM consortium are as follows: Priyen Shah, Marie Voice, Leonides Calvo-Bado, Irene Rivero Calle, Sophie Morris, Ruud Nijman, Claire Broderick, Tisham De, Irini Eleftheriou, Rachel Galassini, Aakash Khanijau, Laura Kolberg, Mojca Kolnik, Aleksandra Rudzate, Manfred Sagmeister, Nina Schweintzger, Fatou Secka, Clare Thakker, Fabian Van der Velden, Clementien Vermont, Katarina Vincek, Philipp KA Agyeman, Aubrey J Cunnington, Ronald De Groot, Marieke Emonts, Katy Fidler, Taco Kuijpers, Marine Mommert-Tripon, Karen Brengel-Pesce, Francois Mallet, Henriette Moll, Stéphane Paulus, Marko Pokorn, Andrew Pollard, Luregn J Schlapbach, Ching-Fen Shen, Maria Tsolia, Effua Usuf, Michiel Van der Flier, Ulrich Von Both, Shunmay Yeung, Dace Zavadska, Werner Zenz, Victoria Wright, Enitan D Carrol, Myrsini Kaforou, Federico Martinon-Torres, Colin Fink, Michael Levin, Jethro Herberg, Lucas Baumard, Evangelos Bellos, Lachlan Coin, Giselle D'Souza, Dominic Habgood-Coote, Shea Hamilton, Cllive Hoggart, Sara Hourmat, Heather Jackson, Naomi Lin, Stephanie Menikou, Samuel Nichols, Ivonne Pena Paz, Oliver Powell, Ortensia Vito, Clare Wilson, Amina Abdulla, Ladan Ali, Sarah Darnell, Rikke Jorgensen, Ian Maconochie, Sobia Mustafa, Salina Persand, Ben Walsh, Molly Stevens, Nayoung Kim, Eunjung Kim, Benjamin Pierce, Julia Dudley, Vivien Richmond, Emma Tavliavini, Ching-Chuan Liu, Shih-Min Wang, Fernando Álves González, Cristina Balo Farto, Ruth Barral-Arca, María Barreiro Castro, Xabier Bello, Mirian Ben García, Sandra Carnota, Miriam Cebey-López, María José Curras-Tuala, Carlos Durán Suárez, Luisa García Vicente, Alberto Gómez-Carballa, Jose Gómez Rial, Pilar Leboráns Iglesias, Nazareth Martinón-Torres, José María Martinón Sánchez, Belén Mosquera Pérez, Jacobo Pardo-Seco, Lidia Piñeiro Rodríguez, Sara Pischedda, Sara Ray Vázquez, Carmen Rodríguez-Tenreiro, Lorenzo Redondo-Collazo, Miguel Sadiki Ora, Antonio Sallas, Sonia Serén Fernández, Cristina Serén Trasorras, Marisol Vilas Iglesias, Anda Balode, Arta Bãrdzdina, Dãrta Deksne, Dace Gardovska, Dagne Grãvele, Ilze Grope, Anija Meiere, Ieve Nokalna, Jana Pavãre, Zanda Pučuka, Katrīna Selecka, Dace Svile, Urzula Nora Urbãne, Kalifa Bojang, Syed M A Zaman, Suzanne Anderson, Anna Roca, Isatou Sarr, Momodou Saidykhan, Saffiatou Darboe, Samba Ceesay, Umberto D'alessandro, Dorine M. Borensztajn, Nienke N. Hagedoorn, Chantal Tal, Joany Zachariasse, W Dik, Christoph Aebi, Christoph Berger, Verena Wyss, Mariama Usman, Eric Giannoni, Martin Stocker, Klara M Posfay-Barbe, Ulrich Heininger, Sara Bernhard-Stirnemann, Anita Niederer-Loher, Christian Kahlert, Giancarlo Natalucci, Christa Relly, Thomas Riedel, Elizabeth Cocklin, Rebecca Jennings, Joanne Johnson, Simon Leigh, Karen Newall, Sam Romaine, Maria Tambouratzi, Antonis Marmarinos, Marietta Xagorari, Kelly Syggelou, Nikos Spyridis, Jennifer Blackmore, Rebekah Harrison, Benno Kohlmaier, Daniela S. Kohlfürst, Christoph Zurl, Alexander Binder, Susanne Hösele, Manuel Leitner, Lena Pölz, Glorija Rajic, Sebastian Bauchinger, Hinrich Baumgart, Martin Benesch, Astrid Ceolotto, Ernst Eber, Siegfried Gallisti, Gunther Gores, Harald Haidl, Almuthe Hauer, Christa Hude, Markus Keldorfer, Larissa Krenn, Heidemarie Pilch, Andreas Pfleger, Klaus Pfurtscheller, Gudrun Nordberg, Tobias Niedrist, Siegfried Rödl, Andrea Skrabl-Baumgartner, Matthias Sperl, Laura Stampfer, Volker Strenger, Holger Till, Andreas Trobisch, Sabine Löffler, Juan Emmanuel Dewez, Martin Hibberd, David Bath, Alec Miners, Elizabeth Fitchett, Catherine Wedderburn, Anne Meierford, Baptiste Leurent, Marien I. De Jonge, Koen Van Aerde, Wynand Alkema, Bryan Van den Broek, Jolein Gloerich, Alain J. Van Gool, Stefanie Henriet, Martijn Huijnen, Ria Philipsen, Esther Willems, G. P. J. M. Gerrits, M. Van Leur, J. Heidema, L. De Haan, C. J. Miedema, C. Neeleman, C. C. Obihara, G. A. Tramper-Stranders, Rama Kandasamy, Michael J. Carter, Daniel O'Connor, Sagida Bibi, Dominic F. Kelly, Meeru Gurung, Stephen Throson, Imran Ansari, David R. Murdoch, Shrijana Shrestha, Zoe Oliver, Emma Lim, Lucille Valentine, Karen Allen, Kathryn Bell, Adora Chan, Stephen Crulley, Kirsty Devine, Daniel Fabian, Sharon King, Paul McAlinden, Sam McDonald, Anne McDonell, Alisa Pickering, Evelyn Thomson, Amanda Wood, Diane Wallia, Phil Woodsford, Frances Baxter, Ashley Bell, Mathew Rhodes, Rachel Agbeko, Christine Mackerness, Bryan Baas, Lieke Kloosterhuis, Wilma Oosthoek, Tasnim Arif, Joshua Bennet, Kalvin Collings, Ilona Van der Giessen, Alex Martin, Aqeela Rashid, Emily Rowlands, Joshua Soon, Gabriella De Vries, Fabian Van der Velden, Mike Martin, Ravi Mistry, Manuela Zwerenz, Judith Buschbeck, Christoph Bidlingmaier, Vera Binder, Katharina Danhauser, Nikolaus Haas, Matthias Griese, Matthias Kappler, Eberhard Lurz, Georg Muench, Karl Reiter, Carola Schoen, Karen Brengel-Pesce, Alexandre Pachot, Marine Mommert, Katarina Vincek, Tina Plankar Srovin, Natalija Bahovec, Petra Prunk, Veronika Osterman, Tanja Avramoska, Ilse Jongerius, J. M. Van den Berg, D. Schonenberg, A. M. Barendregt, D. Pajkrt, M. Van der Kuip, A. M. Van Furth, Evelien Sprenkeler, Judith Zandstra, G. van Mierlo, J. Geissler. Funding Information: We are grateful to all patients and families that contributed towards this study. This project received funding under the European Union’s Horizon 2020 Research and Innovation program under grant agreement number 668303. PERFORM consortium activities included obtaining study funding, patient recruitment, clinical data collection and entry, assignment of patient phenotypes, processing and storage of research samples used in this analysis, and molecular pathogen testing. Publisher Copyright: © 2023 The AuthorsBACKGROUND: The PERFORM study aimed to understand causes of febrile childhood illness by comparing molecular pathogen detection with current clinical practice. METHODS: Febrile children and controls were recruited on presentation to hospital in 9 European countries 2016-2020. Each child was assigned a standardized diagnostic category based on retrospective review of local clinical and microbiological data. Subsequently, centralised molecular tests (CMTs) for 19 respiratory and 27 blood pathogens were performed. FINDINGS: Of 4611 febrile children, 643 (14%) were classified as definite bacterial infection (DB), 491 (11%) as definite viral infection (DV), and 3477 (75%) had uncertain aetiology. 1061 controls without infection were recruited. CMTs detected blood bacteria more frequently in DB than DV cases for N. meningitidis (OR: 3.37, 95% CI: 1.92-5.99), S. pneumoniae (OR: 3.89, 95% CI: 2.07-7.59), Group A streptococcus (OR 2.73, 95% CI 1.13-6.09) and E. coli (OR 2.7, 95% CI 1.02-6.71). Respiratory viruses were more common in febrile children than controls, but only influenza A (OR 0.24, 95% CI 0.11-0.46), influenza B (OR 0.12, 95% CI 0.02-0.37) and RSV (OR 0.16, 95% CI: 0.06-0.36) were less common in DB than DV cases. Of 16 blood viruses, enterovirus (OR 0.43, 95% CI 0.23-0.72) and EBV (OR 0.71, 95% CI 0.56-0.90) were detected less often in DB than DV cases. Combined local diagnostics and CMTs respectively detected blood viruses and respiratory viruses in 360 (56%) and 161 (25%) of DB cases, and virus detection ruled-out bacterial infection poorly, with predictive values of 0.64 and 0.68 respectively. INTERPRETATION: Most febrile children cannot be conclusively defined as having bacterial or viral infection when molecular tests supplement conventional approaches. Viruses are detected in most patients with bacterial infections, and the clinical value of individual pathogen detection in determining treatment is low. New approaches are needed to help determine which febrile children require antibiotics. FUNDING: EU Horizon 2020 grant 668303.Peer reviewe

Diagnosis of Multisystem Inflammatory Syndrome in Children by a Whole-Blood Transcriptional Signature

Funding Information: Financial support. This work was supported by the European Union’s Horizon 2020 Program under grants (848196 DIAMONDS, 668303 PERFORM, 279185 EUCLIDS, Prof Levin), by the Imperial Biomedical Research Centre (BRC) of the National Institute for Health Research (NIHR), grants (206508/Z/17/Z and MRF-160-0008-ELP-KAFO-C0801 to Dr Kaforou) from the Wellcome Trust and the Medical Research Foundation, a grant (215214/Z/19/Z to Dr Jackson) from the Wellcome Trust, a grant (R61HD105590-01 PreVAIL kIds to Dr. Burns) from the National Institutes of Health, and grants (WDPI_G28062 and WDPI_P89720 to Drs Herberg and Georgiou) from the Community Jameel Imperial College COVID-19 Excellence Fund and the Rosetrees Trust. This work has been supported by the Imperial Confidence in Concept Scheme, funded by MRC Confidence in Concept, Wellcome Trust Institutional Strategic Support Fund, NIHR Imperial BRC, and Rosetrees Trust (to Rodriguez-Manzano and Kaforou). Publisher Copyright: © 2023 The Author(s). Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society.Background: To identify a diagnostic blood transcriptomic signature that distinguishes multisystem inflammatory syndrome in children (MIS-C) from Kawasaki disease (KD), bacterial infections, and viral infections. Methods: Children presenting with MIS-C to participating hospitals in the United Kingdom and the European Union between April 2020 and April 2021 were prospectively recruited. Whole-blood RNA Sequencing was performed, contrasting the transcriptomes of children with MIS-C (n = 38) to those from children with KD (n = 136), definite bacterial (DB; n = 188) and viral infections (DV; n = 138). Genes significantly differentially expressed (SDE) between MIS-C and comparator groups were identified. Feature selection was used to identify genes that optimally distinguish MIS-C from other diseases, which were subsequently translated into RT-qPCR assays and evaluated in an independent validation set comprising MIS-C (n = 37), KD (n = 19), DB (n = 56), DV (n = 43), and COVID-19 (n = 39). Results: In the discovery set, 5696 genes were SDE between MIS-C and combined comparator disease groups. Five genes were identified as potential MIS-C diagnostic biomarkers (HSPBAP1, VPS37C, TGFB1, MX2, and TRBV11-2), achieving an AUC of 96.8% (95% CI: 94.6%-98.9%) in the discovery set, and were translated into RT-qPCR assays. The RT-qPCR 5-gene signature achieved an AUC of 93.2% (95% CI: 88.3%-97.7%) in the independent validation set when distinguishing MIS-C from KD, DB, and DV. Conclusions: MIS-C can be distinguished from KD, DB, and DV groups using a 5-gene blood RNA expression signature. The small number of genes in the signature and good performance in both discovery and validation sets should enable the development of a diagnostic test for MIS-C.Peer reviewe