Effect of secondhand cigarette smoke, RSV bronchiolitis and parental asthma on urinary cysteinyl LTE4

Kott, K. S.; Salt, B.H.; McDonald, Ruth J.; Jhawar, Sanjay; Bric, John M.; Joad, Jesse P.

doi:10.1002/ppul.20853

Cited by 19 publications

(16 citation statements)

References 32 publications

(34 reference statements)

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“…In smokers, uLTE 4 levels correlate with the number of cigarettes smoked [34]. Kott et al [32] found in a significant increase in uLTE 4 excretion in infants with bronchiolitis and ETS exposure. Similar to our results, Rabinovitch et al [35] did not find any differences in uLTE 4 levels between ETS exposed and those who were not, though there were clinical differences, including albuterol usage.…”

Section: Discussionmentioning

confidence: 97%

“…Data quantifying LTE 4 levels in children exposed to ETS is limited [32]. There is some evidence that children with asthma exposed to ETS are more likely to respond to montelukast than ICS, and that montelukast responders tend to have a relatively higher uLTE 4 /FeNO ratio [35,36].…”

Section: Introductionmentioning

confidence: 98%

“…Airway inflammation in smokers is associated with enhanced production of leukotrienes [32,33], and urinary excretion of LTE 4 is closely correlated with the number of cigarettes smoked daily [34]. Data quantifying LTE 4 levels in children exposed to ETS is limited [32].…”

Section: Introductionmentioning

confidence: 99%

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Low-level environmental tobacco smoke exposure and inflammatory biomarkers in children with asthma

2014

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

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Low-level environmental tobacco smoke exposure and inflammatory biomarkers in children with asthma

2014

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“…59,60 These data clearly demonstrate the respiratory risks associated with in utero smoke exposure and reemphasize the priority that should be placed on smoking cessation, especially in pregnant women. 61 Another interesting finding is that almost 40% of the children who required mechanical respiratory support on the day of presentation had difficulty breathing for ,1 day before presentation.…”

Section: Discussionmentioning

confidence: 99%

Prospective Multicenter Study of Children With Bronchiolitis Requiring Mechanical Ventilation

2012

PEDIATRICS

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WHAT'S KNOWN ON THIS SUBJECT: Bronchiolitis is one of the most common infectious respiratory conditions of early childhood, and most children have a mild clinical course. Unfortunately, the small subgroup of children requiring continuous positive airway pressure and/or intubation remains ill-defined. WHAT THIS STUDY ADDS:In children with bronchiolitis, we found several demographic, historical, and clinical factors that predicted the need for mechanical respiratory support including in utero smoke exposure. We also found a novel subgroup of children with bronchiolitis who have a rapid respiratory decline. abstract OBJECTIVE: To identify factors associated with continuous positive airway pressure (CPAP) and/or intubation for children with bronchiolitis. METHODS:We performed a 16-center, prospective cohort study of hospitalized children aged ,2 years with bronchiolitis. For 3 consecutive years from November 1 until March 31, beginning in 2007, researchers collected clinical data and a nasopharyngeal aspirate from study participants. We oversampled children from the ICU. Samples of nasopharyngeal aspirate were tested by polymerase chain reaction for 18 pathogens.RESULTS: There were 161 children who required CPAP and/or intubation. The median age of the overall cohort was 4 months; 59% were male; 61% white, 24% black, and 36% Hispanic. In the multivariable model predicting CPAP/intubation, the significant factors were: age ,2 months (odds ratio [OR] 4.3; 95% confidence interval [CI] 1.7-11.5), maternal smoking during pregnancy (OR 1.4; 95% CI 1.1-1.9), birth weight ,5 pounds (OR 1.7; 95% CI 1.0-2.6), breathing difficulty began ,1 day before admission (OR 1.6; 95% CI 1.2-2.1), presence of apnea (OR 4.8; 95% CI 2.5-8.5), inadequate oral intake (OR 2.5; 95% CI 1.3-4.3), severe retractions (OR 11.1; 95% CI 2.4-33.0), and room air oxygen saturation ,85% (OR 3.3; 95% CI 2.0-4.8). The optimism-corrected c-statistic for the final model was 0.80. CONCLUSIONS:In this multicenter study of children hospitalized with bronchiolitis, we identified several demographic, historical, and clinical factors that predicted the use of CPAP and/or intubation, including children born to mothers who smoked during pregnancy. We also identified a novel subgroup of children who required mechanical respiratory support ,1 day after respiratory symptoms began.

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“…For infants hospitalized with RSV bronchiolitis, Kott et al [133,134] identified several predictors of hospital length of stay: age, urinary cysteinyl leukotriene E4 concentration, and impaired plasma tumor necrosis factor α and interleukin-6 production capacity. For patients hospitalized with bronchiolitis, Hervás et al [58] found virus species (RSV vs. non-RSV) to be a predictor of hospital length of stay.…”

Section: Predicting Hospital Length Of Staymentioning

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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Effect of secondhand cigarette smoke, RSV bronchiolitis and parental asthma on urinary cysteinyl LTE4

Cited by 19 publications

References 32 publications

Low-level environmental tobacco smoke exposure and inflammatory biomarkers in children with asthma

Low-level environmental tobacco smoke exposure and inflammatory biomarkers in children with asthma

Prospective Multicenter Study of Children With Bronchiolitis Requiring Mechanical Ventilation

A systematic review of predictive modeling for bronchiolitis

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