Predictors of failure in infants with viral bronchiolitis treated with high-flow, high-humidity nasal cannula therapy*

Abboud, Patricia A.; Roth, Patrick J.; Skiles, Cheryl L.; Stolfi, Adrienne; Rowin, Mark E.

doi:10.1097/pcc.0b013e31825b546f

Cited by 134 publications

(122 citation statements)

References 18 publications

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“…NIPPV has several advantages over mechanical ventilation [79,80]. First, by avoiding intubation, NIPPV reduces patient risk of airway damage, ventilatorassociated pneumonia, and other nosocomial infections.…”

Section: Predicting Nippv Failurementioning

confidence: 99%

“…As reported in the literature, 5-43% of patients failed NIPPV and subsequently required mechanical ventilation [78,[80][81][82][83]. So far, no guideline for NIPPV has been published for children [82].…”

Section: Predicting Nippv Failurementioning

confidence: 99%

“…For infant patients with bronchiolitis in the ICU, Abboud et al [80] identified pre-HFNC PCO 2 and respiratory rate as predictors of HFNC failure. For pediatric patients younger than two years who received HFNC within 24 hours of initial triage in the ED, Kelly et al [83] identified three predictors of HFNC failure: triage respiratory rate > 90 th percentile for age, initial venous PCO 2 > 50 mm Hg, and initial venous pH < 7.3.…”

Section: Predicting Nippv Failurementioning

confidence: 99%

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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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Section: Predicting Nippv Failurementioning

confidence: 99%

Section: Predicting Nippv Failurementioning

confidence: 99%

Section: Predicting Nippv Failurementioning

confidence: 99%

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A systematic review of predictive modeling for bronchiolitis

Luo

Nkoy

Gesteland

et al. 2014

International Journal of Medical Informatics

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“…[25] HFNC has been shown to increase end-expiratory lung volumes and reduce respiratory rate in infants with bronchiolitis, and may be better tolerated than nCPAP. [26,27] However, systematic reviews have not yielded conclusive results as to whether either technique reduces intubation rates, largely due to a lack of prospective randomised controlled trials. [22,28] Even though there have been varying reports, there has been no consensus with regard to appropriate invasive mechanical ventilation strategies for infants with severe bronchiolitis.…”

Section: Ventilatory Supportmentioning

confidence: 99%

Acute viral bronchiolitis in South Africa: Intensive care management for severe disease

2016

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“…In addition, Abboud et al [27] identified predictors of failure for patients with bronchiolitis treated with HFNC. One hundred thirteen patients were placed on HFNC, of which 21 (18.6 %) required intubation.…”

Section: Noninvasive Ventilationmentioning

confidence: 99%

Advances in Ventilatory Support of Critically Ill Children

Chipman

Kacmarek

2012

Curr Pediatr Rep

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Advances in pediatric medical practices often lag behind the progress made in adult patients, primarily because of the limited number of randomized, controlled, clinical trials. Recent advances in mechanical ventilation derived from successful application in adults include neurally adjusted ventilatory assist, noninvasive ventilation, and protective lung strategies. NAVA improves patient/ ventilator synchrony and reduces the work of breathing, which allows for a decreased use of sedation. This should decrease the length of time patients are intubated and mechanically ventilated. The use of noninvasive ventilation eliminates the need for endotracheal tubes and complications associated with them including tracheal injury, pressure ulcers, issues with oral hygiene and ventilator associated pneumonia. Application of lung protective strategies to pediatric patients with acute lung injury and/or ARDS results in increased oxygenation, less lung injury, and improvements in morbidity and mortality.

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Predictors of failure in infants with viral bronchiolitis treated with high-flow, high-humidity nasal cannula therapy*

Cited by 134 publications

References 18 publications

A systematic review of predictive modeling for bronchiolitis

A systematic review of predictive modeling for bronchiolitis

Acute viral bronchiolitis in South Africa: Intensive care management for severe disease

Advances in Ventilatory Support of Critically Ill Children

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