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Gsenger J, Bruckner T, Ihling CM, Rehbein RM, Schnee SV, Hoos J, Manuel B, Pfeil J, Schnitzler P, Tabatabai J. RSV-CLASS -Clinical Assessment Severity Score: An easy-to-use clinical disease severity score for respiratory syncytial virus infection in hospitalized children. J Med Virol 2023; 95:e28541. [PMID: 36727642 DOI: 10.1002/jmv.28541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/24/2023] [Accepted: 01/30/2023] [Indexed: 02/03/2023]
Abstract
Respiratory syncytial virus (RSV) is the most common cause of acute respiratory tract infection in infants and young children often leading to severe disease requiring hospitalization. However, validated tools for systematic assessment of disease severity are lacking. This study aimed at creating and validating a standardized, simple-to-use disease severity score for RSV infection in children-the RSV-CLASS (Clinical Assessment Severity Score). Therefore, data from over 700 RSV-infected children over six winter seasons (2014-2020) was analyzed using univariate and multiple regression analyses for the prediction of lower respiratory tract infection (LRTI) as a proxy for a severe course of the disease. Testing a broad range of respiratory symptoms, they eventually yielded seven items. Performing stepwise selection, these were reduced to the final four items: cough, tachypnea, rales, and wheezing, each receiving one point in the proposed score named RSV-CLASS. The score was calculated for children in two cohorts A and B, one for development and one for validation, with an area under the curve of 0.90 and 0.87, respectively. With a score value of 3 or 4, 97.8% and 100% of the children, respectively, were admitted with LRTI and classified correctly. The RSV-CLASS is a disease severity score based on a neutral, analytical approach using prospective data from a large study cohort. It will contribute to systematically assessing the disease severity of RSV infection and can be used for evidence-based clinical decision-making as well as for research settings.
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Affiliation(s)
- Julia Gsenger
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Infectious Diseases (DZIF), Heidelberg, Germany
| | - Thomas Bruckner
- Institute for Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Clara Marlene Ihling
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Infectious Diseases (DZIF), Heidelberg, Germany
- Dr. von Haunersches Kinderspital, University Hospital of the LMU Munich, Munich, Germany
| | - Rebecca Marie Rehbein
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Infectious Diseases (DZIF), Heidelberg, Germany
- Center for Child and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah Valerie Schnee
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Infectious Diseases (DZIF), Heidelberg, Germany
| | - Johannes Hoos
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Infectious Diseases (DZIF), Heidelberg, Germany
- Center for Child and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | | | | | - Paul Schnitzler
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
| | - Julia Tabatabai
- Center for Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Infectious Diseases (DZIF), Heidelberg, Germany
- Center for Child and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
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2
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Tso CF, Lam C, Calvert J, Mao Q. Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients. Front Pediatr 2022; 10:886212. [PMID: 35989982 PMCID: PMC9385995 DOI: 10.3389/fped.2022.886212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Respiratory syncytial virus (RSV) causes millions of infections among children in the US each year and can cause severe disease or death. Infections that are not promptly detected can cause outbreaks that put other hospitalized patients at risk. No tools besides diagnostic testing are available to rapidly and reliably predict RSV infections among hospitalized patients. We conducted a retrospective study from pediatric electronic health record (EHR) data and built a machine learning model to predict whether a patient will test positive to RSV by nucleic acid amplification test during their stay. Our model demonstrated excellent discrimination with an area under the receiver-operating curve of 0.919, a sensitivity of 0.802, and specificity of 0.876. Our model can help clinicians identify patients who may have RSV infections rapidly and cost-effectively. Successfully integrating this model into routine pediatric inpatient care may assist efforts in patient care and infection control.
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Affiliation(s)
| | - Carson Lam
- Dascena, Inc., Houston, TX, United States
| | | | - Qingqing Mao
- Dascena, Inc., Houston, TX, United States.,Montera Inc., San Francisco, CA, United States
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Hakizimana B, Kalimba E, Ndatinya A, Saint G, van Miert C, Cartledge PT. Field testing two existing, standardized respiratory severity scores (LIBSS and ReSViNET) in infants presenting with acute respiratory illness to tertiary hospitals in Rwanda - a validation and inter-rater reliability study. PLoS One 2021; 16:e0258882. [PMID: 34735488 PMCID: PMC8568200 DOI: 10.1371/journal.pone.0258882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/07/2021] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION There is a substantial burden of respiratory disease in infants in the sub-Saharan Africa region. Many health care providers (HCPs) that initially receive infants with respiratory distress may not be adequately skilled to differentiate between mild, moderate and severe respiratory symptoms, which may contribute to poor management and outcome. Therefore, respiratory severity scores have the potential to contributing to address this gap. OBJECTIVES to field-test the use of two existing standardized bronchiolitis severity scores (LIBSS and ReSViNET) in a population of Rwandan infants (1-12 months) presenting with respiratory illnesses to urban, tertiary, pediatric hospitals and to assess the severity of respiratory distress in these infants and the treatments used. METHODS A cross-sectional, validation study, was conducted in four tertiary hospitals in Rwanda. Infants presenting with difficulty in breathing were included. The LIBSS and ReSViNET scores were independently employed by nurses and residents to assess the severity of disease in each infant. RESULTS 100 infants were recruited with a mean age of seven months. Infants presented with pneumonia (n = 51), bronchiolitis (n = 36) and other infectious respiratory illnesses (n = 13). Thirty-three infants had severe disease and survival was 94% using nurse applied LIBSS. Regarding inter-rater reliability, the intra-class correlation coefficient (ICC) for LIBSS and ReSViNET between nurses and residents was 0.985 (95% CI: 0.98-0.99) and 0.980 (0.97-0.99). The convergent validity (Pearson's correlation) between LIBSS and ReSViNET for nurses and residents was R = 0.836 (p<0.001) and R = 0.815 (p<0.001). The area under the Receiver Operator Curve (aROC) for admission to PICU or HDU was 0.956 (CI: 0.92-0.99, p<0.001) and 0.880 (CI: 0.80-0.96, p<0.001) for nurse completed LIBSS and ReSViNET respectively. CONCLUSION LIBSS and ReSViNET were designed for infants with bronchiolitis in resource-rich settings. Both LIBSS and ReSViNET demonstrated good reliability and validity results, in this cohort of patients presenting to tertiary level hospitals. This early data demonstrate that these two scores have the potential to be used in conjunction with clinical reasoning to identify infants at increased risk of clinical deterioration and allow timely admission, treatment escalation and therefore support resource allocation in Rwanda.
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Affiliation(s)
- Boniface Hakizimana
- Department of Pediatrics, School of Medicine, University of Rwanda, Kigali, Rwanda
- Department of Pediatrics, University Teaching Hospital of Kigali, Kigali, Rwanda
| | - Edgar Kalimba
- Department of Pediatrics, School of Medicine, University of Rwanda, Kigali, Rwanda
- King Faisal Hospital, Kigali, Rwanda
| | | | - Gemma Saint
- Institute of Child Health, University of Liverpool, Liverpool, United Kingdom
- Department of Respiratory Pediatrics, Alder Hey Children’s NHS Foundation Trust, Liverpool, United Kingdom
| | - Clare van Miert
- School of Nursing and Allied Health Liverpool John Moores University, Liverpool, United Kingdom
| | - Peter Thomas Cartledge
- Department of Pediatrics, School of Medicine, University of Rwanda, Kigali, Rwanda
- Department of Emergency Medicine, Yale University, New Haven, Connecticut, United States of America
- Rwanda Human Resources for Health (HRH) Program, Ministry of Health, Kigali, Rwanda
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Wang L, Chu CY, McCall MN, Slaunwhite C, Holden-Wiltse J, Corbett A, Falsey AR, Topham DJ, Caserta MT, Mariani TJ, Walsh EE, Qiu X. Airway gene-expression classifiers for respiratory syncytial virus (RSV) disease severity in infants. BMC Med Genomics 2021; 14:57. [PMID: 33632195 PMCID: PMC7908785 DOI: 10.1186/s12920-021-00913-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 02/19/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND A substantial number of infants infected with RSV develop severe symptoms requiring hospitalization. We currently lack accurate biomarkers that are associated with severe illness. METHOD We defined airway gene expression profiles based on RNA sequencing from nasal brush samples from 106 full-tem previously healthy RSV infected subjects during acute infection (day 1-10 of illness) and convalescence stage (day 28 of illness). All subjects were assigned a clinical illness severity score (GRSS). Using AIC-based model selection, we built a sparse linear correlate of GRSS based on 41 genes (NGSS1). We also built an alternate model based upon 13 genes associated with severe infection acutely but displaying stable expression over time (NGSS2). RESULTS NGSS1 is strongly correlated with the disease severity, demonstrating a naïve correlation (ρ) of ρ = 0.935 and cross-validated correlation of 0.813. As a binary classifier (mild versus severe), NGSS1 correctly classifies disease severity in 89.6% of the subjects following cross-validation. NGSS2 has slightly less, but comparable, accuracy with a cross-validated correlation of 0.741 and classification accuracy of 84.0%. CONCLUSION Airway gene expression patterns, obtained following a minimally-invasive procedure, have potential utility for development of clinically useful biomarkers that correlate with disease severity in primary RSV infection.
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Affiliation(s)
- Lu Wang
- Department of Biostatistics and Computational Biology, University of Rochester School Medicine, Rochester, NY, USA
| | - Chin-Yi Chu
- Department of Pediatrics, University of Rochester School Medicine, Rochester, NY, USA
| | - Matthew N McCall
- Department of Biostatistics and Computational Biology, University of Rochester School Medicine, Rochester, NY, USA
| | | | - Jeanne Holden-Wiltse
- Department of Biostatistics and Computational Biology, University of Rochester School Medicine, Rochester, NY, USA
| | - Anthony Corbett
- Department of Biostatistics and Computational Biology, University of Rochester School Medicine, Rochester, NY, USA
| | - Ann R Falsey
- Department of Medicine, University of Rochester School Medicine, Rochester, NY, USA
- Department of Medicine, Rochester General Hospital, Rochester, NY, USA
| | - David J Topham
- Department of Microbiology and Immunology, University of Rochester School Medicine, Rochester, NY, USA
| | - Mary T Caserta
- Department of Pediatrics, University of Rochester School Medicine, Rochester, NY, USA
| | - Thomas J Mariani
- Department of Pediatrics, University of Rochester School Medicine, Rochester, NY, USA.
| | - Edward E Walsh
- Department of Medicine, University of Rochester School Medicine, Rochester, NY, USA.
- Department of Medicine, Rochester General Hospital, Rochester, NY, USA.
| | - Xing Qiu
- Department of Biostatistics and Computational Biology, University of Rochester School Medicine, Rochester, NY, USA.
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Pinto FR, Correia-Costa L, Azevedo I. Comparison of Kristjansson Respiratory Score and Wang Respiratory Score in infants with bronchiolitis in a hospital emergency department. Hong Kong Physiother J 2020; 40:145-153. [PMID: 33005078 PMCID: PMC7526056 DOI: 10.1142/s1013702520500146] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 07/09/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Several respiratory scores have been created to evaluate bronchiolitis' severity level, but it is still not clear which is the best score. The aim of this study is to compare the Wang Respiratory Score (WRS) and the Kristjansson Respiratory Score (KRS) in the setting of an emergency room. METHODS We performed a prospective observational study with 60 infants with bronchiolitis admitted to a paediatric emergency department. For both scores, we assessed inter-rater reliability between two different health professionals (physician and physiotherapist), internal consistency, and correlation with SpO2 testing the intraclass-correlation coefficient (ICC), weighted kappa, Cronbach α coefficient and Spearman tests, respectively. RESULTS The inter-rater reliability was higher in KRS (ICC 0.79) and the Cronbach α and weighted kappa had similar values in KRS versus WRS. The correlation between the KRS/WRS and SpO2 was poor/moderate upon admission and discharge for the first observer and the second observer. CONCLUSIONS While the internal consistency was similar in both scores, inter-rater reliability of KRS was higher than WRS, which allows us to conclude that it would have more consistent results when used to assess bronchiolitis' level of severity by health personnel in a busy hospital emergency room.
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Affiliation(s)
- Frederico Ramos Pinto
- Department of Physical Medicine and Rehabilitation, Centro Hospitalar Universitário São João, Alameda Professor Hernâni Monteiro, 4202-451 Porto, Portugal
| | - Liane Correia-Costa
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Division of Pediatric Nephrology, Centro Materno-Infantil do Norte, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Inês Azevedo
- Department of Obstetrics-Gynecology and Pediatrics, Faculty of Medicine, Universidade do Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal
- Department of Pediatrics, Centro Materno-Pediátrico, Centro Hospitalar Universitário São João, Alameda Professor Hernâni Monteiro, 4202-451 Porto, Portugal
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6
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Hakizimana B, Saint G, van Miert C, Cartledge P. Can a Respiratory Severity Score Accurately Assess Respiratory Distress in Children with Bronchiolitis in a Resource-Limited Setting? J Trop Pediatr 2020; 66:234-243. [PMID: 32236471 DOI: 10.1093/tropej/fmz055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Boniface Hakizimana
- Department of Pediatrics, University of Rwanda, Kigali, Rwanda.,Department of Pediatrics, University Teaching Hospital of Kigali, Kigali, Rwanda
| | - Gemma Saint
- Department of Child Health, Institute of Translational Medicine, University of Liverpool, Liverpool
| | - Clare van Miert
- Liverpool John Moores University, Liverpool.,Alder Hey Children's NHS Foundation Trust, Liverpool
| | - Peter Cartledge
- Department of Pediatrics, University of Rwanda, Kigali, Rwanda.,Department of Pediatrics, Yale University, Rwanda Human Resources for Health (HRH) Program, Kigali, Rwanda
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7
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Caserta MT, Yang H, Bandyopadhyay S, Qiu X, Gill SR, Java J, McDavid A, Falsey AR, Topham DJ, Holden-Wiltse J, Scheible K, Pryhuber G. Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants. J Pediatr 2019; 214:12-19.e3. [PMID: 31377041 PMCID: PMC6815715 DOI: 10.1016/j.jpeds.2019.06.061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 06/10/2019] [Accepted: 06/25/2019] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To develop a valid research tool to measure infant respiratory illness severity using parent-reported symptoms. STUDY DESIGN Nose and throat swabs were collected monthly for 1 year and during respiratory illnesses for 2 years in a prospective study of term and preterm infants in the Prematurity, Respiratory Outcomes, Immune System and Microbiome study. Viral pathogens were detected using Taqman Array Cards. Parents recorded symptoms during respiratory illnesses using a Childhood Origins of Asthma (COAST) scorecard. The COAST score was validated using linear mixed effects regression modeling to evaluate associations with hospitalization and specific infections. A data-driven method was also used to compute symptom weights and derive a new score, the Infant Research Respiratory Infection Severity Score (IRRISS). Linear mixed effects regression modeling was repeated with the IRRISS illness data. RESULTS From April 2013 to April 2017, 50 term, 40 late preterm, and 28 extremely low gestational age (<29 weeks of gestation) infants had 303 respiratory illness visits with viral testing and parent-reported symptoms. A range of illness severity was described with 39% of illness scores suggestive of severe disease. Both the COAST score and IRRISS were associated with respiratory syncytial virus infection and hospitalization. Gestational age and human rhinovirus infection were inversely associated with both scoring systems. The IRRISS and COAST scores were highly correlated (r = 0.93; P < .0001). CONCLUSIONS Using parent-reported symptoms, we validated the COAST score as a measure of respiratory illness severity in infants. The new IRRISS score performed as well as the COAST score.
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Key Words
- auc, area under the curve
- coast, childhood origins of asthma study
- ed, emergency department
- elgans, extremely low gestational age newborns
- hrv, human rhinovirus
- irriss, infant research respiratory infection severity score
- lmer, linear mixed effects regression modeling
- prism, prematurity, respiratory outcomes, immune system and microbiome
- rsv, respiratory syncytial virus
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Affiliation(s)
- Mary T. Caserta
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY,Reprint requests: Mary T. Caserta, MD, Division of Pediatric Infectious Diseases, 601 Elmwood Ave, Box 690, Rochester, NY 14642
| | - Hongmei Yang
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY
| | - Sanjukta Bandyopadhyay
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY
| | - Xing Qiu
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY
| | - Steven R. Gill
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY
| | - James Java
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY
| | - Andrew McDavid
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY
| | - Ann R. Falsey
- Department of Medicine-Infectious Diseases, University of Rochester Medical Center, Rochester, NY
| | - David J. Topham
- Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY
| | - Jeanne Holden-Wiltse
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY,UR Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY
| | - Kristin Scheible
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY
| | - Gloria Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY,Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY
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Resch B, Bramreiter VS, Kurath-Koller S, Freidl T, Urlesberger B. Respiratory syncytial virus associated hospitalizations in preterm infants of 29 to 32 weeks gestational age using a risk score tool for palivizumab prophylaxis. Eur J Clin Microbiol Infect Dis 2017; 36:1057-1062. [PMID: 28078558 PMCID: PMC5442239 DOI: 10.1007/s10096-016-2891-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 12/23/2016] [Indexed: 12/03/2022]
Abstract
To evaluate the efficacy of palivizumab in infants of 29 to 32 weeks of gestational age (GA) based on a risk score tool developed for Austria. Retrospective single-center cohort study including all preterm infants of 29 (+0) to 32 (+6) weeks of GA born between 2004 and 2012 at a tertiary care university hospital. Data on RSV-related hospitalizations over the first 2 years of life were analyzed and compared between those having received palivizumab and those without. The study population was comprised of 789 of 816 screened infants, of whom 262 (33%) had received palivizumab and 527 (67%) had not. Nine of 107 rehospitalizations (8.4%) in the palivizumab group compared to 32 of 156 rehospitalizations (20.5%) in the group without prophylaxis were tested RSV-positive (p = 0.004; OR 0.356 [CI 90% 0.184-0.689]). Proven and calculated RSV hospitalization rate was 3.1% (8/262) in the palivizumab group and 5.9% (31/527) in the group without (p = 0.042; OR 0.504 [CI 90% 0.259-0.981]). Increasing number of risk factors (up to three) increased the RSV hospitalization rate in infants with (6.1%) and without (9.0%) prophylaxis. RSV-associated hospitalizations did not differ between groups with regard to length of stay, severity of infection, age at hospitalization, demand of supplemental oxygen, need for mechanical ventilation, and admission rate to the ICU. A risk score tool developed for infants of 29 to 32 weeks of gestational age led to a reduction of RSV-associated hospitalizations without influencing the severity of disease.
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Affiliation(s)
- B Resch
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 34/2, 8036, Graz, Austria.
- Research Unit for Neonatal Infectious Diseases and Epidemiology, Medical University of Graz, Graz, Austria.
| | - V S Bramreiter
- Research Unit for Neonatal Infectious Diseases and Epidemiology, Medical University of Graz, Graz, Austria
| | - S Kurath-Koller
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 34/2, 8036, Graz, Austria
- Research Unit for Neonatal Infectious Diseases and Epidemiology, Medical University of Graz, Graz, Austria
| | - T Freidl
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 34/2, 8036, Graz, Austria
| | - B Urlesberger
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 34/2, 8036, Graz, Austria
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Rath B, Conrad T, Myles P, Alchikh M, Ma X, Hoppe C, Tief F, Chen X, Obermeier P, Kisler B, Schweiger B. Influenza and other respiratory viruses: standardizing disease severity in surveillance and clinical trials. Expert Rev Anti Infect Ther 2017; 15:545-568. [PMID: 28277820 PMCID: PMC7103706 DOI: 10.1080/14787210.2017.1295847] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Influenza-Like Illness is a leading cause of hospitalization in children. Disease burden due to influenza and other respiratory viral infections is reported on a population level, but clinical scores measuring individual changes in disease severity are urgently needed. Areas covered: We present a composite clinical score allowing individual patient data analyses of disease severity based on systematic literature review and WHO-criteria for uncomplicated and complicated disease. The 22-item ViVI Disease Severity Score showed a normal distribution in a pediatric cohort of 6073 children aged 0-18 years (mean age 3.13; S.D. 3.89; range: 0 to 18.79). Expert commentary: The ViVI Score was correlated with risk of antibiotic use as well as need for hospitalization and intensive care. The ViVI Score was used to track children with influenza, respiratory syncytial virus, human metapneumovirus, human rhinovirus, and adenovirus infections and is fully compliant with regulatory data standards. The ViVI Disease Severity Score mobile application allows physicians to measure disease severity at the point-of care thereby taking clinical trials to the next level.
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Affiliation(s)
- Barbara Rath
- a Division of Pediatric Infectious Diseases , Vienna Vaccine Safety Initiative , Berlin , Germany.,b Department of Pediatrics , Charité University Medical Center , Berlin , Germany.,c Division of Epidemiology and Public Health , University of Nottingham , Nottingham , UK
| | - Tim Conrad
- d Department of Mathematics and Computer Science , Freie Universität Berlin , Berlin , Germany
| | - Puja Myles
- c Division of Epidemiology and Public Health , University of Nottingham , Nottingham , UK
| | - Maren Alchikh
- a Division of Pediatric Infectious Diseases , Vienna Vaccine Safety Initiative , Berlin , Germany.,b Department of Pediatrics , Charité University Medical Center , Berlin , Germany
| | - Xiaolin Ma
- b Department of Pediatrics , Charité University Medical Center , Berlin , Germany.,e National Reference Centre for Influenza and Other Respiratory Viruses , Robert Koch Institute , Berlin , Germany
| | - Christian Hoppe
- a Division of Pediatric Infectious Diseases , Vienna Vaccine Safety Initiative , Berlin , Germany.,d Department of Mathematics and Computer Science , Freie Universität Berlin , Berlin , Germany
| | - Franziska Tief
- a Division of Pediatric Infectious Diseases , Vienna Vaccine Safety Initiative , Berlin , Germany.,b Department of Pediatrics , Charité University Medical Center , Berlin , Germany
| | - Xi Chen
- a Division of Pediatric Infectious Diseases , Vienna Vaccine Safety Initiative , Berlin , Germany.,b Department of Pediatrics , Charité University Medical Center , Berlin , Germany
| | - Patrick Obermeier
- a Division of Pediatric Infectious Diseases , Vienna Vaccine Safety Initiative , Berlin , Germany.,b Department of Pediatrics , Charité University Medical Center , Berlin , Germany
| | - Bron Kisler
- f Clinical Data Standards Interchange Consortium (CDISC) , Austin , TX , USA
| | - Brunhilde Schweiger
- e National Reference Centre for Influenza and Other Respiratory Viruses , Robert Koch Institute , Berlin , Germany
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Caserta MT, Qiu X, Tesini B, Wang L, Murphy A, Corbett A, Topham DJ, Falsey AR, Holden-Wiltse J, Walsh EE. Development of a Global Respiratory Severity Score for Respiratory Syncytial Virus Infection in Infants. J Infect Dis 2017; 215:750-756. [PMID: 28011907 DOI: 10.1093/infdis/jiw624] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 12/16/2016] [Indexed: 11/13/2022] Open
Abstract
Background Respiratory syncytial virus (RSV) infection in infants has recognizable clinical signs and symptoms. However, quantification of disease severity is difficult, and published scores remain problematic. Thus, as part of a RSV pathogenesis study, we developed a global respiratory severity score (GRSS) as a research tool for evaluating infants with primary RSV infection. Methods Previously healthy infants <10 months of age with RSV infections representing the spectrum of disease severity were prospectively evaluated. Clinical signs and symptoms were collected at 3 time points from hospitalized infants and those seen in ambulatory settings. Data were also extracted from office, emergency department, and hospital records. An unbiased data-driven approach using factor analysis was used to develop a GRSS. Results A total of 139 infants (84 hospitalized and 55 nonhospitalized) were enrolled. Using hospitalization status as the output variable, 9 clinical variables were identified and weighted to produce a composite GRSS. The GRSS had an area under the receiver operator curve of 0.961. Construct validity was demonstrated via a significant correlation with length of stay (r = 0.586, P < .0001). Conclusions Using routine clinical variables, we developed a severity score for infants with RSV infection that should be useful as an end point for investigation of disease pathogenesis and as an outcome measure for therapeutic interventions.
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Affiliation(s)
- Mary T Caserta
- Division of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Xing Qiu
- Department of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA
| | - Brenda Tesini
- Division of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Lu Wang
- Department of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA.,Center for Vaccine Biology and Immunology, University of Rochester, Rochester, New York, USA
| | - Amy Murphy
- Division of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Anthony Corbett
- Department of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA
| | - David J Topham
- Center for Vaccine Biology and Immunology, University of Rochester, Rochester, New York, USA
| | - Ann R Falsey
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA.,Department of Medicine, Rochester General Hospital, New York, USA
| | - Jeanne Holden-Wiltse
- Department of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA
| | - Edward E Walsh
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA.,Department of Medicine, Rochester General Hospital, New York, USA
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Risk Factors for Hospitalization for Respiratory Syncytial Virus Infection: A Population-based Cohort Study of Danish Children. Pediatr Infect Dis J 2016; 35:61-5. [PMID: 26398871 DOI: 10.1097/inf.0000000000000924] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The aim of this study is to identify the risk factors for hospitalization for respiratory syncytial virus (RSV) infection in Danish children. METHODS This is a population-based cohort study with follow-up till 24 months of age. A total of 421,943 Danish children were divided into 5 groups based on gestational age (23-32, 33-35, 36, 37-41 and 42-45 weeks). RESULTS In adjusted Cox regression models, chronic disease, asthma hospitalization before the RSV infection and siblings were associated with an increased risk of hospitalization for RSV infection in all children independent of gestational age. Plurality was associated with a decreased risk in children born between 23 and 36 weeks of gestation, whereas young maternal age, maternal asthma, single parenthood, maternal smoking, being born small for gestational age, Caesarian section, male gender and day care were associated with an increased risk of hospitalization for RSV infection in term children. In postterm children, young maternal age, male sex, being born small for gestational age and maternal smoking were associated with an increased risk of hospitalization for RSV. Asthma hospitalization before the RSV infection and siblings were associated with the highest measures of increased risk of hospitalization for RSV infection independent of gestational age. CONCLUSIONS By 5 groups of gestational age, we provide estimates of the effects of 12 different factors, which can be regarded as add-on risk factors to those already known to increase the risk of hospitalization for RSV infection. Our study may help clinicians to precisely assess the risk profile in the individual child.
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12
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Abraha HY, Lanctôt KL, Paes B. Risk of respiratory syncytial virus infection in preterm infants: reviewing the need for prevention. Expert Rev Respir Med 2015; 9:779-99. [PMID: 26457970 DOI: 10.1586/17476348.2015.1098536] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Premature infants are at substantial risk for a spectrum of morbidities that are gestational age dependent. Respiratory syncytial virus (RSV) infection is most common in the first two years of life with the highest burden in children aged <6 months. Preterm infants ≤35 weeks' gestation are handicapped by incomplete immunological and pulmonary maturation and immature premorbid lung function with the added risk of bronchopulmonary dysplasia. Superimposed RSV infection incites marked neutrophilic airway inflammation and innate immunological responses that further compromise normal airway modeling. This review addresses the epidemiology and burden of RSV disease, focusing on the preterm population. Risk factors that determine RSV-disease severity and hospitalization and the impact on healthcare resource utilization and potential long-term respiratory sequelae are discussed. The importance of disease prevention and the evidence-based rationale for prophylaxis with palivizumab is explored, while awaiting the development of a universal vaccine.
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Affiliation(s)
- Haben Y Abraha
- a Medical Outcomes and Research in Economics (MORE®) Research Group, Sunnybrook Health Sciences Centre , University of Toronto , Toronto , Ontario , Canada
| | - Krista L Lanctôt
- a Medical Outcomes and Research in Economics (MORE®) Research Group, Sunnybrook Health Sciences Centre , University of Toronto , Toronto , Ontario , Canada
| | - Bosco Paes
- b Division of Neonatology, Department of Pediatrics , McMaster University , Hamilton , Ontario , Canada
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