High Rate of Viral Identification and Coinfections in Infants with Acute Bronchiolitis

Nascimento, Milena Siciliano; Souza, Andréa Vieira de; Ferreira, Anna Otilia Paiva; Rodrigues, Joaquim Carlos; Abramovici, Sulim; Filho, Luiz Vicente Ferreira da Silva

doi:10.1590/s1807-59322010001100014

Cited by 91 publications

(104 citation statements)

References 31 publications

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“…There were ten coinfections in our study and RSV was also the most common in coinfection. Studies showed different results about prognosis of coinfections, some of them reported that coinfections are associated with worse prognosis, however some of them found no significant difference between coinfections and infections with single virus [25,26]. In our study, there was no significant difference of prognosis between coinfections with RSV and single virus infections.…”

Section: Discussioncontrasting

confidence: 65%

Active Surveillance of Influenza A and Other Respiratory Viruses in Children with Influenza-like-illness in Two Seasons

Girit

Karaaslan

Gençer

et al. 2018

J Infect Dev Ctries

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Introduction: The aim of this study was to asses the surveillance of influenza A/other respiratory viruses and risk factors in hospitalized children with the symptoms of influenza-like illness during two consecutive influenza seasons. Methodology: All children hospitalized with adiagnosis of influenza-like illness had been investigated for Influenza A and other respiratory antigens in pharengeal/nasopharyngeal secretions. Results: A total of 132 hospitalized children between December 2013-May 2014 and December 2014-May 2015 were enrolled in this study. At least one respiratory virus was found to be positive by RT-PCR in 78 (59%) patients, influenza A (H3N2) was detected in only 8 (6%) patients. In 54 (41%) patients samples no respiratory viral pathogen was detected and in 70 (53%) patients, one non-influenza A virus was detected. The respiratory viral pathogens detected in decreasing rates were:RSV (n = 46, 35%), HCoV (n = 10, 7.5%), adenovirüs (n = 7, 5%), rhinovirüs (n = 6, 4.5%), HMPV (n = 5, 4%), Influenza B (n = 4, 3%) ve human Bocavirus (n = 2, 1.5%). In 10 patients, coinfection was detected, however none was with H3N2. In the H3N2 (+) group, the following risk factors were identified: age older than three years (p < 0.05), asthma history (p < 0.05) and chronic lung diseases (p < 0.05). Conclusion: Influenza A virus was detected in 6% of hospitalized patients with influenza-like illness. Viruses other then Influenza, especially RSV, can cause similar symptoms compatible with Influenza-like-illness.

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Section: Discussioncontrasting

confidence: 65%

Active Surveillance of Influenza A and Other Respiratory Viruses in Children with Influenza-like-illness in Two Seasons

Girit

Karaaslan

Gençer

et al. 2018

J Infect Dev Ctries

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“…However, controversy exists regarding whether these viruses increase the severity of illness and LOS [2]. It has been reported that, while co-infections do not affect LOS or mortality, influenza virus (INF) infection is associated with increased LOS and mortality [3,4].…”

Section: Increased Severity Of Viral Infections Has Recently Been Repmentioning

confidence: 99%

“…It has been reported that, while co-infections do not affect LOS or mortality, influenza virus (INF) infection is associated with increased LOS and mortality [3,4]. Nonetheless, the impact of co-infections is, in general, still unclear [2,[5][6][7].…”

Section: Increased Severity Of Viral Infections Has Recently Been Repmentioning

confidence: 99%

Correlation between Infection with Multiple Respiratory Viruses and Length of Hospital Stay in Patients from Cheonan, Korea

Jeon

Park

Kim

2017

Korean J Clin Lab Sci.

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The length of hospital stay (LOS) for patients with respiratory virus infections has been reported to depend the virus type and infection severity. However, the impact of co-infections remains unclear. Patients with suspected respiratory virus infections, who visited Dankook University Hospital between December 2006 and February 2014, were included to examine the relationship between co-infections and LOS. Multiplex reverse transcriptase-polymerase chain reactions were used to identify the causative viruses. LOS was analyzed with respect to sex, age, virus, and co-infection. During this period, 5,310 out of the 8,860 patients (59.9%; median age, 1.5 years) were respiratory virus-positive. In respiratory virus-positive patients with single, double, and three-or-more infections, the average LOS was 7.3, 6.7, and 6.6 days, respectively. Longer LOS was observed for older patients and those with human coronavirus OC43 infections compared with adenovirus or respiratory syncytial virus A infections. LOS differed significantly according to age, virus type, and co-infection, but not between double and three or more infections.

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“…For bronchiolitis patients in the ED, Al-Shehri et al [44][45][46][47][48] identified several predictors of hospital admission: prematurity, chronic lung disease (primarily bronchopulmonary dysplasia), atopic dermatitis, pure formula feeding (no breast feeding), passive smoking, age ≤ one year, nasopharyngeal lactate dehydrogenase value, low dew point, enterovirus infection, absence of familial atopy, rhinovirus, and co-infection. Voets et al [35] identified three predictors of hospital and ICU admission: age < six months, respiratory rate > 45 breaths per minute, and oxygen saturation < 95% at sea level.…”

Section: Predicting Hospital Admission From the Edmentioning

confidence: 99%

A systematic review of predictive modeling for bronchiolitis

Luo

Nkoy

Gesteland

et al. 2014

International Journal of Medical Informatics

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Purpose: Bronchiolitis is the most common cause of illness leading to hospitalization in young children. At present, many bronchiolitis management decisions are made subjectively, leading to significant practice variation among hospitals and physicians caring for children with bronchiolitis. To standardize care for bronchiolitis, researchers have proposed various models to predict the disease course to help determine a proper management plan. This paper reviews the existing state of the art of predictive modeling for bronchiolitis. Predictive modeling for respiratory syncytial virus (RSV) infection is covered whenever appropriate, as RSV accounts for about 70% of bronchiolitis cases.Methods: A systematic review was conducted through a PubMed search up to April 25, 2014. The literature on predictive modeling for bronchiolitis was retrieved using a comprehensive search query, which was developed through an iterative process.Search results were limited to human subjects, the English language, and children (birth-18 years). Results:The literature search returned 2,312 references in total. After manual review, 168 of these references were determined to be relevant and are discussed in this paper. We identify several limitations and open problems in predictive modeling for bronchiolitis, and provide some preliminary thoughts on how to address them, with the hope to stimulate future research in this domain. Conclusions:Many problems remain open in predictive modeling for bronchiolitis. Future studies will need to address them to achieve optimal predictive models.

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High Rate of Viral Identification and Coinfections in Infants with Acute Bronchiolitis

Cited by 91 publications

References 31 publications

Active Surveillance of Influenza A and Other Respiratory Viruses in Children with Influenza-like-illness in Two Seasons

Active Surveillance of Influenza A and Other Respiratory Viruses in Children with Influenza-like-illness in Two Seasons

Correlation between Infection with Multiple Respiratory Viruses and Length of Hospital Stay in Patients from Cheonan, Korea

A systematic review of predictive modeling for bronchiolitis

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