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Halasa NB, Spieker AJ, Young CC, Olson SM, Newhams MM, Amarin JZ, Moffitt KL, Nakamura MM, Levy ER, Soma VL, Talj R, Weiss SL, Fitzgerald JC, Mack EH, Maddux AB, Schuster JE, Coates BM, Hall MW, Schwartz SP, Schwarz AJ, Kong M, Spinella PC, Loftis LL, McLaughlin GE, Hobbs CV, Rowan CM, Bembea MM, Nofziger RA, Babbitt CJ, Bowens C, Flori HR, Gertz SJ, Zinter MS, Giuliano JS, Hume JR, Cvijanovich NZ, Singh AR, Crandall HA, Thomas NJ, Cullimore ML, Patel MM, Randolph AG. Life-Threatening Complications of Influenza vs Coronavirus Disease 2019 (COVID-19) in US Children. Clin Infect Dis 2023; 76:e280-e290. [PMID: 35717646 PMCID: PMC9384330 DOI: 10.1093/cid/ciac477] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/06/2022] [Accepted: 06/08/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Clinical differences between critical illness from influenza infection vs coronavirus disease 2019 (COVID-19) have not been well characterized in pediatric patients. METHODS We compared demographics, clinical characteristics, and outcomes of US children (aged 8 months to 17 years) admitted to the intensive care or high-acuity unit with influenza or COVID-19. Using mixed-effects models, we assessed the odds of death or requiring life support for influenza vs COVID-19 after adjustment for age, sex, race and Hispanic origin, and underlying conditions including obesity. RESULTS Children with influenza (n = 179) were younger than those with COVID-19 (n = 381; median, 5.2 years vs 13.8 years), less likely to be non-Hispanic Black (14.5% vs 27.6%) or Hispanic (24.0% vs 36.2%), and less likely to have ≥1 underlying condition (66.4% vs 78.5%) or be obese (21.4% vs 42.2%), and a shorter hospital stay (median, 5 days vs 7 days). They were similarly likely to require invasive mechanical ventilation (both 30.2%), vasopressor support (19.6% and 19.9%), or extracorporeal membrane oxygenation (2.2% and 2.9%). Four children with influenza (2.2%) and 11 children with COVID-19 (2.9%) died. The odds of death or requiring life support in children with influenza vs COVID-19 were similar (adjusted odds ratio, 1.30; 95% confidence interval, .78-2.15; P = .32). CONCLUSIONS Despite differences in demographics and clinical characteristics of children with influenza or COVID-19, the frequency of life-threatening complications was similar. Our findings highlight the importance of implementing prevention measures to reduce transmission and disease severity of influenza and COVID-19.
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Affiliation(s)
- Natasha B Halasa
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cameron C Young
- Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Samantha M Olson
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Margaret M Newhams
- Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Justin Z Amarin
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kristin L Moffitt
- Division of Infectious Diseases, Boston Children’s Hospital, Boston, Massachusetts, USA,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Mari M Nakamura
- Division of Infectious Diseases, Boston Children’s Hospital, Boston, Massachusetts, USA,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA,Antimicrobial Stewardship Program, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Emily R Levy
- Divisions of Pediatric Infectious Diseases and Pediatric Critical Care Medicine, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Vijaya L Soma
- Department of Pediatrics, Division of Infectious Diseases, New York University Grossman School of Medicine and Hassenfeld Children’s Hospital, New York, New York, USA
| | - Rana Talj
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Scott L Weiss
- Department of Anesthesiology and Critical Care, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Julie C Fitzgerald
- Department of Anesthesiology and Critical Care, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Elizabeth H Mack
- Division of Pediatric Critical Care Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Aline B Maddux
- Department of Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Jennifer E Schuster
- Division of Pediatric Infectious Disease, Department of Pediatrics, Children’s Mercy Kansas City, Kansas City, Missouri, USA
| | - Bria M Coates
- Division of Pediatric Critical Care Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Mark W Hall
- Division of Critical Care Medicine, Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio, USA
| | - Stephanie P Schwartz
- Department of Pediatrics, Division of Critical Care, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Adam J Schwarz
- Division of Critical Care Medicine, Children's Hospital Orange County (CHOC), Orange, California, USA
| | - Michele Kong
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Philip C Spinella
- Division of Critical Care, Department of Pediatrics, Washington University School of Medicine in St Louis, St. Louis, Missouri, USA
| | - Laura L Loftis
- Section of Critical Care Medicine, Department of Pediatrics, Texas Children’s Hospital, Houston, Texas, USA
| | - Gwenn E McLaughlin
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Charlotte V Hobbs
- Department of Pediatrics, Department of Microbiology, Division of Infectious Diseases, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Courtney M Rowan
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Indiana University School of Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA
| | - Melania M Bembea
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ryan A Nofziger
- Division of Critical Care Medicine, Akron Children’s Hospital, Akron, Ohio, USA
| | | | - Cindy Bowens
- Department of Pediatrics, Division of Critical Care Medicine, University of Texas Southwestern, Children’s Medical Center, Dallas, Texas, USA
| | - Heidi R Flori
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Mott Children’s Hospital and University of Michigan, Ann Arbor, Michigan, USA
| | - Shira J Gertz
- Division of Pediatric Critical Care, Department of Pediatrics, Cooperman Barnabas Medical Center, Livingston, New Jersey, USA
| | - Matt S Zinter
- Department of Pediatrics, Division of Critical Care, University of California–San Francisco, San Francisco, California, USA
| | - John S Giuliano
- Department of Pediatrics, Division of Critical Care, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Janet R Hume
- Division of Pediatric Critical Care, University of Minnesota Masonic Children’s Hospital, Minneapolis, Minnesota, USA
| | - Natalie Z Cvijanovich
- Division of Critical Care Medicine, University of California–San Francisco Benioff Children’s Hospital Oakland, Oakland, California, USA
| | - Aalok R Singh
- Pediatric Critical Care Division, Maria Fareri Children's Hospital at Westchester Medical Center and New York Medical College, Valhalla, New York, USA
| | - Hillary A Crandall
- Division of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Neal J Thomas
- Department of Pediatrics, Penn State Hershey Children’s Hospital, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Melissa L Cullimore
- Division of Pediatric Critical Care, Department of Pediatrics, Children’s Hospital and Medical Center, Omaha, Nebraska, USA
| | | | - Adrienne G Randolph
- Correspondence: Adrienne G. Randolph, Boston Children’s Hospital, 300 Longwood Avenue Bader 634, Boston, MA, USA 02115 ()
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Talj R, Amarin JZ, Rankin DA, Bloos SM, Shawareb Y, Rahman H, Haddadin Z, Howard LM, Probst V, Naffa RG, Johnson M, Lane S, Kinzler AJ, Spieker AJ, Faouri S, Shehabi A, Chappell J, Khuri-Bulos N, Williams JV, Halasa N. Clinical characteristics, outcomes, and seasonality of acute respiratory infection associated with single and codetected rhinovirus species among hospitalized children in Amman, Jordan. J Med Virol 2022; 94:5904-5915. [PMID: 35918790 DOI: 10.1002/jmv.28042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 07/12/2022] [Accepted: 08/01/2022] [Indexed: 01/06/2023]
Abstract
Rhinovirus (RV)-specific surveillance studies in the Middle East are limited. Therefore, we aimed to study the clinical characteristics, outcomes, and seasonality of RV-associated acute respiratory infection among hospitalized young children in Jordan. We conducted a prospective viral surveillance study and enrolled children <2 years old admitted to a large public hospital in Amman, Jordan (2010-2013). Demographic and clinical data were collected by structured interviews and chart abstractions. Nasal and/or throat swabs were collected and tested for a panel of respiratory viruses, and RV genotyping and speciation was performed. At least one virus was detected in 2641/3168 children (83.4%). RV was the second most common virus detected (n = 1238; 46.9%) and was codetected with another respiratory virus in 730 cases (59.0%). Children with RV codetection were more likely than those with RV-only detection to have respiratory distress but had similar outcomes. RV-A accounted for about half of RV-positive cases (54.7%), while children with RV-C had a higher frequency of wheezing and reactive airway disease. RV was detected year-round and peaked during winter. In conclusion, though children with RV codetection had worse clinical findings, neither codetection nor species affected most clinical outcomes.
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Affiliation(s)
- Rana Talj
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Justin Z Amarin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Danielle A Rankin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Vanderbilt Epidemiology PhD Program, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Sean M Bloos
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yanal Shawareb
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Herdi Rahman
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Zaid Haddadin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Leigh M Howard
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Varvara Probst
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Randa G Naffa
- Molecular Biology Research Laboratory, The University of Jordan School of Medicine, Amman, Jordan
| | - Monika Johnson
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sidney Lane
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Amy J Kinzler
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Samir Faouri
- Department of Pediatrics, Al-Bashir Hospital, Amman, Jordan
| | - Asem Shehabi
- Department of Pathology and Microbiology and Forensic Medicine, The University of Jordan School of Medicine, Amman, Jordan
| | - James Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Najwa Khuri-Bulos
- Department of Pediatrics, The University of Jordan School of Medicine, Amman, Jordan
| | - John V Williams
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Struyf T, Deeks JJ, Dinnes J, Takwoingi Y, Davenport C, Leeflang MM, Spijker R, Hooft L, Emperador D, Domen J, Tans A, Janssens S, Wickramasinghe D, Lannoy V, Horn SRA, Van den Bruel A. Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19. Cochrane Database Syst Rev 2022; 5:CD013665. [PMID: 35593186 PMCID: PMC9121352 DOI: 10.1002/14651858.cd013665.pub3] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND COVID-19 illness is highly variable, ranging from infection with no symptoms through to pneumonia and life-threatening consequences. Symptoms such as fever, cough, or loss of sense of smell (anosmia) or taste (ageusia), can help flag early on if the disease is present. Such information could be used either to rule out COVID-19 disease, or to identify people who need to go for COVID-19 diagnostic tests. This is the second update of this review, which was first published in 2020. OBJECTIVES To assess the diagnostic accuracy of signs and symptoms to determine if a person presenting in primary care or to hospital outpatient settings, such as the emergency department or dedicated COVID-19 clinics, has COVID-19. SEARCH METHODS We undertook electronic searches up to 10 June 2021 in the University of Bern living search database. In addition, we checked repositories of COVID-19 publications. We used artificial intelligence text analysis to conduct an initial classification of documents. We did not apply any language restrictions. SELECTION CRITERIA Studies were eligible if they included people with clinically suspected COVID-19, or recruited known cases with COVID-19 and also controls without COVID-19 from a single-gate cohort. Studies were eligible when they recruited people presenting to primary care or hospital outpatient settings. Studies that included people who contracted SARS-CoV-2 infection while admitted to hospital were not eligible. The minimum eligible sample size of studies was 10 participants. All signs and symptoms were eligible for this review, including individual signs and symptoms or combinations. We accepted a range of reference standards. DATA COLLECTION AND ANALYSIS Pairs of review authors independently selected all studies, at both title and abstract, and full-text stage. They resolved any disagreements by discussion with a third review author. Two review authors independently extracted data and assessed risk of bias using the QUADAS-2 checklist, and resolved disagreements by discussion with a third review author. Analyses were restricted to prospective studies only. We presented sensitivity and specificity in paired forest plots, in receiver operating characteristic (ROC) space and in dumbbell plots. We estimated summary parameters using a bivariate random-effects meta-analysis whenever five or more primary prospective studies were available, and whenever heterogeneity across studies was deemed acceptable. MAIN RESULTS We identified 90 studies; for this update we focused on the results of 42 prospective studies with 52,608 participants. Prevalence of COVID-19 disease varied from 3.7% to 60.6% with a median of 27.4%. Thirty-five studies were set in emergency departments or outpatient test centres (46,878 participants), three in primary care settings (1230 participants), two in a mixed population of in- and outpatients in a paediatric hospital setting (493 participants), and two overlapping studies in nursing homes (4007 participants). The studies did not clearly distinguish mild COVID-19 disease from COVID-19 pneumonia, so we present the results for both conditions together. Twelve studies had a high risk of bias for selection of participants because they used a high level of preselection to decide whether reverse transcription polymerase chain reaction (RT-PCR) testing was needed, or because they enrolled a non-consecutive sample, or because they excluded individuals while they were part of the study base. We rated 36 of the 42 studies as high risk of bias for the index tests because there was little or no detail on how, by whom and when, the symptoms were measured. For most studies, eligibility for testing was dependent on the local case definition and testing criteria that were in effect at the time of the study, meaning most people who were included in studies had already been referred to health services based on the symptoms that we are evaluating in this review. The applicability of the results of this review iteration improved in comparison with the previous reviews. This version has more studies of people presenting to ambulatory settings, which is where the majority of assessments for COVID-19 take place. Only three studies presented any data on children separately, and only one focused specifically on older adults. We found data on 96 symptoms or combinations of signs and symptoms. Evidence on individual signs as diagnostic tests was rarely reported, so this review reports mainly on the diagnostic value of symptoms. Results were highly variable across studies. Most had very low sensitivity and high specificity. RT-PCR was the most often used reference standard (40/42 studies). Only cough (11 studies) had a summary sensitivity above 50% (62.4%, 95% CI 50.6% to 72.9%)); its specificity was low (45.4%, 95% CI 33.5% to 57.9%)). Presence of fever had a sensitivity of 37.6% (95% CI 23.4% to 54.3%) and a specificity of 75.2% (95% CI 56.3% to 87.8%). The summary positive likelihood ratio of cough was 1.14 (95% CI 1.04 to 1.25) and that of fever 1.52 (95% CI 1.10 to 2.10). Sore throat had a summary positive likelihood ratio of 0.814 (95% CI 0.714 to 0.929), which means that its presence increases the probability of having an infectious disease other than COVID-19. Dyspnoea (12 studies) and fatigue (8 studies) had a sensitivity of 23.3% (95% CI 16.4% to 31.9%) and 40.2% (95% CI 19.4% to 65.1%) respectively. Their specificity was 75.7% (95% CI 65.2% to 83.9%) and 73.6% (95% CI 48.4% to 89.3%). The summary positive likelihood ratio of dyspnoea was 0.96 (95% CI 0.83 to 1.11) and that of fatigue 1.52 (95% CI 1.21 to 1.91), which means that the presence of fatigue slightly increases the probability of having COVID-19. Anosmia alone (7 studies), ageusia alone (5 studies), and anosmia or ageusia (6 studies) had summary sensitivities below 50% but summary specificities over 90%. Anosmia had a summary sensitivity of 26.4% (95% CI 13.8% to 44.6%) and a specificity of 94.2% (95% CI 90.6% to 96.5%). Ageusia had a summary sensitivity of 23.2% (95% CI 10.6% to 43.3%) and a specificity of 92.6% (95% CI 83.1% to 97.0%). Anosmia or ageusia had a summary sensitivity of 39.2% (95% CI 26.5% to 53.6%) and a specificity of 92.1% (95% CI 84.5% to 96.2%). The summary positive likelihood ratios of anosmia alone and anosmia or ageusia were 4.55 (95% CI 3.46 to 5.97) and 4.99 (95% CI 3.22 to 7.75) respectively, which is just below our arbitrary definition of a 'red flag', that is, a positive likelihood ratio of at least 5. The summary positive likelihood ratio of ageusia alone was 3.14 (95% CI 1.79 to 5.51). Twenty-four studies assessed combinations of different signs and symptoms, mostly combining olfactory symptoms. By combining symptoms with other information such as contact or travel history, age, gender, and a local recent case detection rate, some multivariable prediction scores reached a sensitivity as high as 90%. AUTHORS' CONCLUSIONS Most individual symptoms included in this review have poor diagnostic accuracy. Neither absence nor presence of symptoms are accurate enough to rule in or rule out the disease. The presence of anosmia or ageusia may be useful as a red flag for the presence of COVID-19. The presence of cough also supports further testing. There is currently no evidence to support further testing with PCR in any individuals presenting only with upper respiratory symptoms such as sore throat, coryza or rhinorrhoea. Combinations of symptoms with other readily available information such as contact or travel history, or the local recent case detection rate may prove more useful and should be further investigated in an unselected population presenting to primary care or hospital outpatient settings. The diagnostic accuracy of symptoms for COVID-19 is moderate to low and any testing strategy using symptoms as selection mechanism will result in both large numbers of missed cases and large numbers of people requiring testing. Which one of these is minimised, is determined by the goal of COVID-19 testing strategies, that is, controlling the epidemic by isolating every possible case versus identifying those with clinically important disease so that they can be monitored or treated to optimise their prognosis. The former will require a testing strategy that uses very few symptoms as entry criterion for testing, the latter could focus on more specific symptoms such as fever and anosmia.
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Affiliation(s)
- Thomas Struyf
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Jonathan J Deeks
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Jacqueline Dinnes
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Yemisi Takwoingi
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Clare Davenport
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Mariska Mg Leeflang
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - René Spijker
- Medical Library, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health, Amsterdam, Netherlands
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Lotty Hooft
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | - Julie Domen
- Department of Primary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Anouk Tans
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | | | | | | | - Sebastiaan R A Horn
- Department of Primary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Ann Van den Bruel
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
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Probst V, Rankin DA, Haddadin Z, Hamdan L, Rahman HK, Yanis A, Talj R, Spieker AJ, Howard L, Stewart LS, Guevara C, Yepsen E, Faouri S, Shehabi A, Williams JV, Chappell J, Khuri-Bulos N, Halasa NB. Adenovirus Infection in Hospitalized Children with Acute Respiratory Infection in Jordan. Pediatr Infect Dis J 2022; 41:277-283. [PMID: 35315822 PMCID: PMC8943843 DOI: 10.1097/inf.0000000000003423] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND The most common clinical manifestation of adenovirus (AdV) infection is acute respiratory illness (ARI). Specific AdV species associated with ARI hospitalizations are not well defined in the Middle East. METHODS A viral surveillance study was conducted among children <2 years hospitalized in Amman, Jordan, from March 2010 to March 2013. Nasal and throat respiratory specimens were obtained from enrolled children and tested for viruses using a real-time reverse-transcription quantitative polymerase chain reaction. AdV-positive specimens were typed by partial hexon gene sequencing. Demographic and clinical features were compared between AdV detected as single pathogen versus co-detected with other respiratory viruses, and between AdV-B and AdV-C species. RESULTS AdV was detected in 475/3168 (15%) children hospitalized with ARI; of these, 216 (45%) specimens were successfully typed with AdV-C as the most common species detected (140/216; 65%). Children with AdV-single detection (88/475; 19%) had a higher frequency of fever (71% vs. 56%; P=0.015), diarrhea (18% vs. 11%; p=0.048), and/or seizures/abnormal movements (14% vs. 5%; p=0.003). Children with AdV co-detected with other viruses more likely required oxygen support [adjusted odds ratio (aOR) 1.91 (95% CI: 1.08, 3.39), P = 0.027] than those with AdV-single detection. Children with AdV-C had higher odds of co-detections with other viruses compared with those with AdV-B [aOR 4.00 (95% CI: 1.91, 8.44), P < 0.001]. CONCLUSION Clinical differences were identified between AdV-single and AdV co-detected with other viruses, and between AdV-B and AdV-C. Larger studies with AdV typing are needed to determine additional epidemiological and clinical differences between specific AdV species and types.
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Affiliation(s)
- Varvara Probst
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Danielle A. Rankin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Epidemiology PhD Program, Vanderbilt University School of Medicine, Nashville, TN
| | - Zaid Haddadin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Lubna Hamdan
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Herdi K. Rahman
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Ahmad Yanis
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Rana Talj
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Andrew J. Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Leigh Howard
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Laura S. Stewart
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Claudia Guevara
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Erin Yepsen
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Samir Faouri
- Department of Pediatrics, Al Bashir Hospital, Amman, Jordan
| | - Asem Shehabi
- Department of Pediatrics, Jordan University, Amman, Jordan
| | - John V. Williams
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children’s Hospital of Pittsburgh of University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - James Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | | | - Natasha B. Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
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5
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Wen C, Sun L, Zhao MC, Duan SX, Wang L, Cui XW. Clinical Study of Human Coronavirus NL63, OC43, 229E, HKU1 Infentions in Hospitalized Children from 2015 to 2020. Infect Drug Resist 2022; 15:1093-1101. [PMID: 35321083 PMCID: PMC8934707 DOI: 10.2147/idr.s357193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/22/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Chan Wen
- Department of Medical, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Ling Sun
- Department of Medical, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Meng-Chuan Zhao
- Department of Laboratory Medicine, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Su-Xia Duan
- Department of Laboratory Medicine, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Le Wang
- Department of Laboratory Medicine, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Xiao-Wei Cui
- Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
- Correspondence: Xiao-Wei Cui, Children’s Hospital of Hebei Province, No. 133 of Jianhua Street, Yuhua District, Shijiazhuang, 050031, People’s Republic of China, Tel +86 18503292016, Fax +86 031185911109, Email
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Kume Y, Hashimoto K, Shirato K, Norito S, Suwa R, Chishiki M, Ono T, Mashiyama F, Mochizuki I, Sato M, Ishibashi N, Suzuki S, Sakuma H, Takahashi H, Takeda M, Hosoya M. Epidemiological and clinical characteristics of infections with seasonal human coronavirus and respiratory syncytial virus in hospitalized children immediately before the coronavirus disease 2019 pandemic. J Infect Chemother 2022; 28:859-865. [PMID: 35307263 PMCID: PMC8920880 DOI: 10.1016/j.jiac.2022.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 11/18/2022]
Abstract
Introduction Seasonal human coronavirus (HCoV)-229E, -NL63, -OC43, and -HKU1 are seasonal coronaviruses that cause colds in humans. However, the clinical characteristics of pediatric inpatients infected with HCoVs are unclear. This study aimed to compare and clarify the epidemiological and clinical features of HCoVs and respiratory syncytial virus (RSV), which commonly causes severe respiratory infections in children. Methods Nasopharyngeal swabs were collected from all pediatric inpatients with respiratory symptoms at two secondary medical institutions in Fukushima, Japan. Eighteen respiratory viruses, including RSV and four HCoVs, were detected via reverse transcription-polymerase chain reaction. Results Of the 1757 specimens tested, viruses were detected in 1272 specimens (72.4%), with 789 single (44.9%) and 483 multiple virus detections (27.5%). RSV was detected in 639 patients (36.4%) with no difference in clinical characteristics between RSV-A and RSV-B. HCoV was detected in 84 patients (4.7%): OC43, NL63, HKU1, and 229E in 25 (1.4%), 26 (1.5%), 23 (1.3%), and 16 patients (0.9%), respectively. Patients with HCoV monoinfection (n = 35) had a significantly shorter period from onset to hospitalization (median [interquartile range] days, 2 [1–4.5] vs. 4 [2–5]), significantly shorter hospitalization stays (4 [3–5] vs. 5 [4–6]), and more cases of upper respiratory infections (37.1% vs. 3.9%) and croup (17.1% vs. 0.3%) but less cases of lower respiratory infection (54.3% vs. 94.8%) than patients with RSV monoinfection (n = 362). Conclusion Seasonal HCoV-infected patients account for approximately 5% of children hospitalized for respiratory tract infections and have fewer lower respiratory infections and shorter hospital stays than RSV-infected patients.
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The Clinical Characteristics, Severity, and Seasonality of RSV Subtypes Among Hospitalized Children in Jordan. Pediatr Infect Dis J 2021; 40:808-813. [PMID: 34260483 DOI: 10.1097/inf.0000000000003193] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Respiratory syncytial virus (RSV) is a leading cause of acute respiratory infection (ARI) in young children worldwide. Multiple factors affect RSV disease severity, and data regarding differences between RSV subtypes severity are controversial. This study aimed to evaluate the clinical characteristics, seasonality and severity of RSV subtypes in children. METHODS As part of a prospective ARI surveillance study conducted from March 2010 to March 2013 in Amman, Jordan, children less than 2 years with fever and/or respiratory symptoms were enrolled. Demographic and clinical characteristics were collected through parental interviews and medical chart review. The treating physician collected severity score data at admission. Nasal and throat swabs were collected and tested. Multivariable regression models were used to compare the odds of increased disease severity across a priori selected predictors of interest. RESULTS Overall, 1397/3168 (44%) children were RSV positive, with a mean age of 5.3 months (±4.8 SD), 59.7% were male, 6.4% had an underlying medical condition (UMC), 63.6% were RSV-A positive, 25.2% were RSV-B positive, 0.6% were positive for both, and 10.6% could not be typed. Both RSV subtypes peaked in January-March of each year. RSV A-positive children were more likely to present with decreased appetite but less likely to have viral co-detection than RSV B-positive children. Independent factors associated with RSV disease severity included cycle threshold value, vitamin D level, age, UMC, prematurity and severity score, but not RSV subtypes. CONCLUSION RSV subtypes co-circulated and had similar severity profiles; future preventive and treatment measures should target both subtypes.
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Haddadin Z, Rankin DA, Lipworth L, Suh M, McHenry R, Blozinski A, George SS, Fernandez KN, Varjabedian R, Spieker AJ, Shepard DS, Halasa NB. Respiratory Virus Surveillance in Infants across Different Clinical Settings. J Pediatr 2021; 234:164-171.e2. [PMID: 33774057 DOI: 10.1016/j.jpeds.2021.03.036] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/11/2021] [Accepted: 03/19/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES We aimed to evaluate the distribution, clinical presentations and severity of common acute respiratory infections (ARI) viruses in infants across 3 clinical settings. STUDY DESIGN In a prospective virus surveillance study, infants under 1 year with fever and/or respiratory symptoms were enrolled from outpatient, emergency department, and inpatient settings from December 16, 2019 through April 30, 2020. Demographic and clinical characteristics were collected through parent/guardian interviews, medical chart abstractions, and follow-up surveys. Nasal swabs were collected and tested for viruses using quantitative reverse-transcription polymerase chain reaction. RESULTS We enrolled 366 infants and tested nasal swabs on 360 (98%); median age was 6.3 months, 50% male. In total, 295 (82%) had at least 1 virus detected; rhinovirus/enterovirus (RV/EV; 42%), respiratory syncytial virus (RSV; 34%), and influenza (15%) were the most common. RSV was the most frequently detected virus in the inpatient (63%) and emergency department (37%) settings, and RV/EV was most frequently detected virus in the outpatient setting (54%). RSV-positive infants had a lower median age (4.9 months) and were more likely to have respiratory distress, and RV/EV-positive infants were less likely to have respiratory distress. Influenza-positive infants had a higher median age (8 months) and were more likely to have systemic symptoms. RSV infection and younger age were associated with higher odds of hospitalization in multivariable logistic regression. CONCLUSIONS Across 3 clinical settings, and combining virologic, patient, and health-system information, our results highlight the burden of viral ARI among infants. Overall, RSV, RV/EV, and influenza were most commonly detected, with RSV having the highest disease severity.
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Affiliation(s)
- Zaid Haddadin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN.
| | - Danielle A Rankin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN; Vanderbilt Epidemiology PhD Program, Vanderbilt University School of Medicine, Nashville, TN
| | - Loren Lipworth
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN
| | | | - Rendie McHenry
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Anna Blozinski
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | | | - Kailee N Fernandez
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | | | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Donald S Shepard
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA
| | - Natasha B Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
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