Efficacies of different treatment strategies for infants hospitalized with acute bronchiolitis

Hyeri Jeong; Dawon Park; Eun Kyo Ha; Ju Hee Kim; Jeewon Shin; Hey-Sung Baek; Hyunsoo Hwang; Youn Ho Shin; Hye Mi Jee; Man Yong Han

doi:10.3345/cep.2023.01676

Jeong, Park, Ha, Kim, Shin, Baek, Hwang, Shin, Jee, and Han: Efficacies of different treatment strategies for infants hospitalized with acute bronchiolitis

Original Article

Efficacies of different treatment strategies for infants hospitalized with acute bronchiolitis

Hyeri Jeong, MD¹, Dawon Park, MD¹, Eun Kyo Ha, MD²

, Ju Hee Kim, MD³, Jeewon Shin, MD¹, Hey-Sung Baek, PhD⁴, Hyunsoo Hwang, PhD⁵, Youn Ho Shin, PhD⁶, Hye Mi Jee, PhD¹, Man Yong Han, MD¹

¹Department of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea

²Department of Pediatrics, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea

³Department of Pediatrics, Kyung Hee University Medical Center, Seoul, Korea

⁴Department of Pediatrics, Kandong Sacred Heart Hospital, Seoul, Korea

⁵Department of Biostatistics and Data Science, The University of Texas School of Public Health, Texas, TX, USA

⁶Department of Pediatrics, Yeouido St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea

Corresponding author: Man Yong Han, MD. Department of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea Email: drmesh@gmail.com

Co-corresponding author Eun Kyo Ha, MD. Department of Pediatrics, Hallym University Kangnam Sacred Hospital, 12 Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul 07247, Korea Email: dmsry1@gmail.com

Received December 6, 2023 Revised May 20, 2024 Accepted May 31, 2024

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Clinical and Experimental Pediatrics 2024;cep.2023.01676.

Published online: October 28, 2024

DOI: https://doi.org/10.3345/cep.2023.01676

Abstract

Background

Acute bronchiolitis is a common cause of hospitalization during infancy that carries significant morbidity and mortality rates.

Purpose

This study compared the efficacy of different treatment modalities for infants with bronchiolitis in terms of hospital stay and clinical severity scores.

Methods

The PubMed database was searched for relevant studies. Eligibility criteria included double-blind randomized controlled trial design, assessment of the effect of treatment on bronchiolitis in infants under 2 years of age, and publication in English from inception through July 31, 2020. The primary efficacy outcome was the length of hospital stay, while the secondary outcome was the clinical severity score. The standardized treatment effect and standard error of the effect size were calculated.

Results

We identified 45 randomized controlled trials of 24 pairwise comparisons. These 45 trials included 5,061 participants and investigated 13 types of interventions (12 active, 1 placebo). Inhalation therapy with epinephrine (standard mean difference [SMD], -0.41; 95% confidence interval [CI], -0.8 to -0.03) and hypertonic saline (SMD,-0.29; 95% CI, -0.55 to -0.03) reduced the length of hospital stay compared with normal saline. Hypertonic saline was the most effective at improving the clinical severity score (SMD, -0.52; 95% CI, -0.95 to -0.10).

Conclusion

Inhalation therapy with epinephrine and hypertonic saline reduced the length of hospital stay and the clinical severity of bronchiolitis among infants under 2 years of age.

Key words: Bronchiolitis, Child, Hospitalization, Inhalation Therapy, Pediatrics

Key message

· This study analyzed 45 randomized controlled trials (5,061 participants, 13 interventions) of the comparative efficacies of treatments for acute bronchiolitis in infants.

· Inhalation therapy with epinephrine and hypertonic saline significantly reduced the length of hospital stay compared with normal saline.

· Hypertonic saline had the greatest ability to improve the clinical severity score of bronchiolitis in infants younger than 2 years of age.

Graphical abstract. MD, mean difference; CI, confidence interval.

Introduction

Acute bronchiolitis is the leading cause of morbidity among young children and infants under 2 years old world wide [1-4]. Respiratory syncytial virus (RSV) is the major etiologic agent for bronchiolitis [1,2]. Despite bronchiolitis having a significant impact on public health, its clinical management strategies vary considerably [3]. Supportive care including fluid intake, ensuring oxygen exchange, and feeding, has been the standard treatment for acute bronchiolitis [4]. Nevertheless, several studies have sought to find the most appropriate treatment for this condition [5].

Randomized controlled trials (RCTs) conducted to examine the efficacy of corticosteroids, bronchodilators, and other treatments, such as epinephrine, hypertonic saline, ribavirin, and rhDNase [6-10]. None of these, however, was found to significantly affect the rate of clinical improvement. A meta-analysis of studies assessing bronchiolitis treatment modalities might enable more practical and methodological approaches. To date, more than 20 meta-analyses have been conducted to evaluate the efficacy of epinephrine, bronchodilators, and hypertonic saline in the treatment of bronchiolitis [11,12]. These conventional meta-analyses involved only pairwise comparisons, making it hard to compare multiple treatment modalities or to assess the interactions of multiple therapies [13]. However, meta-analyses based on both direct and indirect comparisons for the same outcome may enable assessment of the relative efficacy of several treatments [13,14].

The present study was designed to integrate evidence of interventions currently used to manage bronchiolitis in infants, by comparing the effectiveness of these modalities on length of hospital stay and Wang score representing clinical severity [15]. The PubMed database was searched to identify RCTs comparing therapeutic regimens in infants with bronchiolitis, followed by a network meta-analysis to determine effective treatments for this condition.

Methods

1. Information sources and search strategy

PubMed was searched for relevant articles in English published through 31 July 2020. The main search terms were “bronchiolitis,” “wheezing,” “respiratory syncytial virus,” and “RSV.”

Included studies were restricted to “clinical trials” and “randomized controlled trials.” The titles and abstracts of studies identified by the initial search were reviewed to determine their relevance. The bibliographies of selected studies were also reviewed.

2. Eligibility criteria

Studies were included if their populations consisted of inpatients aged <24 months who were hospitalized with bronchiolitis, wheezing, and/or RSV infection; if these studies compared 2 or more types of treatment; and if they reported Wang scores and/or length of hospital stay. Retrospective and long/short term follow-up studies were excluded, as were studies in populations with other underlying diseases, such as cystic fibrosis, chronic pulmonary diseases, congenital heart disease, and immunodeficiency. Also excluded were trials that examined other outcomes, including gastrointestinal symptoms, pulmonary function, oxygen saturation, hospitalization rate, hypothalamic-pituitary-adrenal axis function, serum cytokine and chemokine concentrations, and heart rate. In addition, trials that examined the effects of herbs and Chinese traditional medicines were excluded.

3. Study selection

Two investigators (MYH and HJ)independently screened articles by title and abstract according to the inclusion criteria. These investigators subsequently read the full text of selected articles. Studies were excluded if they (1) did not report data on length of hospital stay or average Wang score after hospitalization, (2) did not include statistical comparisons, or (3) were performed to assess chest physiotherapy. In addition, studies were excluded if they were the only studies to assess certain treatments. The mean and standard deviation for the 2 primary outcomes; length of hospital stay and Wang scores, were determined. Data unavailable from the original publications were calculated using presented results. Trial details (e.g., study ID, first author, journal, publication year, countries, patient characteristics, treatments, and outcomes) were recorded on a spreadsheet.

4. Quality assessment and risk of bias

Overall risk of bias was evaluated on each included study using the revised Cochrane risk of bias tool for randomized clinical trials [16]. This tool consists of 5 domains: randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome and selection of the reported result. Results were scored as low, high, or some concerns.

5. Data synthesis and statistical analysis

The network meta-analysis was performed using a random effects model with a frequentist approach.All statistical analyses were conducted using the netmeta package (version 1.2-1) R version 4.0.2. For data synthesis in the analysis, the standardized treatment effect (TE) and standard error of effect size were calculated using EffectSizeCalculator (CEM, Ushaw college, Durham, England). Normal saline was distinguished from placebo because normal saline may have active effects on bronchiolitis [9]. Normal saline was defined as the common comparator in this study. Heterogeneity was assessed using the τ² measure. I² statistics are commonly used to measure heterogeneity in meta-analyses, with I² ranging from 0% to 100%. These statistics are easy to interpret and do not vary with the number of studies [17]. However, the I² value can increase with the number of patients included in the meta-analysis. Because I² statistics for heterogeneity can increase with the number of patients included in the meta-analysis, global statistical heterogeneity was evaluated across all comparisons with the τ² measure using the netmeta statistical package. Each treatment was ranked by P score, which is analogous to the surface under the cumulative ranking curve in Bayesian network meta-analysis with a higher score indicating a greater probability of being beneficial. Forest plots were calculated to visualize the directionality and confidence intervals (CIs) of each TE. Network diagrams were plotted to show the overall structure of the treatment network for each outcome.

Results

1. Study selection

Fig. 1 shows the flow of study selection. The initial database search identified 51,279 articles. Of the 929 studies eligible for title and abstract screening, 698 did not meet our inclusion criteria and were excluded, as were 25 articles not available in full text version. Overall, 45 articles with a total of 5,061 patients were included in the network meta-analysis.

2. Study characteristics

Table 1 shows the number of included studies by treatment comparison, and Table 2 shows the detailed characteristics of the included studies. The included studies reported 24 treatment comparisons. Most involved hypertonic saline as an intervention, with 10 studies comparing hypertonic saline with normal saline. These 45 trials were performed in numerous countries and evaluated the effects of 12 active treatments, including normal saline, epinephrine, magnesium sulfate, hypertonic saline, montelukast, ribavirin, systemic steroids (dexamethasone and prednisolone), furosemide, antibiotics, ipratropium bromide, albuterol, and rhDNase. All included studies were conducted in the inpatient setting. Ten studies reported Wang scores.

3. Risk of bias

Eighteen studies were categorized as possibly having risk of overall bias based on outcome measurements (Table 3). These 18 studies did not clearly describe the criteria for measuring outcomes. Five studies were categorized as having a high risk for overall bias, notably for the randomization process and outcome measurements. Blinding of participants and staff was not feasible owing to the nature of the intervention, thus limiting protection against performance and detection bias. The funnel plots are shown in Supplementary Fig. 1.

4. Network meta-analysis

Figs. 2A and 3A display the efficacy estimated using network meta-analysis of indirect comparisons of each treatment with that of normal saline, as measured by duration of hospitalization and averageWang score, respectively. Epinephrine (standardized mean difference [SMD], -0.41; 95% CI, -0.8 to -0.03) and hypertonic saline (SMD, -0.29; 95% CI -0.55 to -0.03) were the most effective treatments for decreasing duration of hospital stay. Compared with normal saline, epinephrine and hypertonic saline reduce 0.41 days and 0.29 days of hospitalization, respectively.

The estimated heterogeneity (τ²) was 0.147 for duration of hospital stay and 0.233 for Wang score, which represented a moderate degree of heterogeneity. Inconsistencies of comparisons are presented in Supplementary Fig. 2.

For clinical scores, 10 studies had useable data. Hypertonic saline is considered to have an effect on improving Wang score (SMD, -0.52; 95% CI-0.95 to -0.1), which means reducing clinical severity. Forest plots presenting all comparisons based on both direct and indirect evidence for duration of hospitalization and Wang scores are shown in Supplementary Fig. 3A and B, respectively. The area of each box surrounding the estimate was proportional to the weighting in the meta-analysis.

A network graph (Figs. 2B and 3B) showed that the network is a sparsely connected intersection of 2 ‘star’ networks, the principal comparators being placebo and normal saline for length of hospital stay, and normal saline for Wang score. The thickness of each edge corresponds to the number of trials and represents the precision of the estimate. Montelukast had the highest probability of being the best treatment for bronchiolitis (P score=0.833), followed by azithromycin (P score=0.792), systemic steroids (P score=0.682), and epinephrine (P score=0.675) (Table 4).

Discussion

This systematic review and meta-analysis comparing different therapy strategies in infants hospitalized for bronchiolitis included 45 RCTs and 5,061 patients. Based on both direct and indirect evidence, this study compared the therapeutic effects of 12 types of intervention on length of hospital stay and Wang score. Of these 12 treatments, epinephrine and hypertonic saline were found to be most beneficial in reducing length of hospital stay, and hypertonic saline was found to help improve Wang score. Twenty RCTs compared epinephrine, hypertonic saline, normal saline and placebo, with 8 of these studies yielding results similar to ours [18-25].

Among the infants with bronchiolitis, approximately 1%–2% of whom require hospitalization [26]. In the United States, it is reported at 18% of all hospitalizations in children under 2 years old in 2016. The proportion of infants with bronchiolitis requiring intensive care unit admission has previously been accounted for 6% to 22% [27]. Based on our results, epinephrine and hypertonic saline can be considered as effective treatment options.

Nebulized epinephrine is generally used to treat significant respiratory distress in children. Epinephrine possesses both alpha-adrenergic and beta-adrenergic properties. Its alpha-adrenergic properties reduce airway edema and vasoconstriction [28,29]. Thus, epinephrine can be theoretically possible to be a benefit of managing bronchiolitis. A Cochrane review [28] demonstrated that epinephrine significantly decrease the risk of hospitalization In addition,the combination of epinephrine and hypertonic saline has been reported to reduce the length of hospital stay [10]. Although several studies found that epinephrine improved clinical outcomes in outpatients [7,30,31]. other studies have yielded conflicting results [32]. Hypertonic saline also can improve mucociliary clearance and reduce edema of the airway through absorbing water from the mucosa and submucosa [4]. Two meta-analysis studies [23,33] derived that nebulized hypertonic saline has the potential to reduce the risk of hospitalization in infants with bronchiolitis. These properties would be helpful to infants with bronchiolitis. We also calculated the P score to identify the relative therapeutic superiority of interventions. Although montelukast had the highest P score, it should be noted that CIs must also be taken into account to determine the best treatment [34,35]. There are only 2 trials comparing the effect of montelukast and placebo for the length of hospital stay, and each trial suggested contradictory results. In this context, we considered both the P score and forest plot. Consequently, epinephrine and hypertonic saline are regarded to have an effect to reduce the length of hospital stay. The strength of our study includes comprehensive integration of individual RCT on effective treatment for bronchiolitis in infants. Contrary to standard meta-analysis which can only statistically combine 2 interventions, the methodology used in this study enabled indirect comparisons of all pairs of treatments for the same outcomes. Furthermore, we assessed relative superiority between treatments that have not been directly compared in RCT. This result could provide research insights to choose the best treatments in managing bronchiolitis.

There are several limitations in the present study. First, we selected 2 primary outcomes, the length of hospital stays and the Wang score, due to the lack of sufficient other outcome data. However, this approach is less precise because of high heterogeneity. Since the measurement times for the Wang score varied by trial, we decided to use the Wang score from the second day after enrollment. In this process, it was difficult to obtain sufficient data for our analysis, which may be the reason for the high heterogeneity. There are many different outcomes reflecting clinical improvement in bronchiolitis, such as the respiratory distress assessment instrument score, oxygen saturation, and respiratory rate. Thus, different results may be derived depending on the outcomes selected. Second, several included trials did not adequately describe the randomization process, outcome measurement sequence, or deviations from intended interventions. These limitations in the individual included trials could lead to potential bias in this study. Third, we did not account for variations within the same treatment—specifically, we were unable to thoroughly compare differences in concentrations of hypertonic saline or the effects of epinephrine versus racemic epinephrine. Such variations could result in outcome deviations across different doses.

In summary, epinephrine and hypertonic saline can be beneficial to reduce length of hospital stay and epinephrine is considered to improve Wang score in bronchiolitis in infants under 2 years old.Further studies need for validating the effectiveness of treatment listed in this study.

Supplementary materials

Supplementary Figs. 1-3 can be found via https://doi.org/10.3345/cep.2023.01676.

Supplementary Fig. 1. (A) Funnel plot: length of hospital stays. (B) Funnel plot: Wang score.

cep-2023-01676-Supplementary-Fig-1.pdf

Supplementary Fig. 2. Heat plot based on random-effects model.

cep-2023-01676-Supplementary-Fig-2.pdf

Supplementary Fig. 3. (A) Forest plot displaying all comparisons for which there is both direct and indirect evidence: length of hospital stays. (B) Forest plot displaying all comparisons for which there is both direct and indirect evidence: Wang Score. CI, confidence interval.

cep-2023-01676-Supplementary-Fig-3.pdf

Footnotes

Conflicts of interest

No potential conflict of interest relevant to this article was reported.

Funding

This study was supported by grant HR22C1605-C1 from the Korea Health Technology Research and Development Project through the Korea Health Industry Development Institute funded by the Ministry of Health and Welfare, Republic of Korea.

Author contribution

Conceptualization: MYH; Data curation: MYH; Formal analysis: HJ, HH; Funding acquisition: MYH; Methodology: MYH; Project administration: HJ, DP; Visualization: HJ; Writing- original draft: HJ; Writingreview & editing: HJ, EKH, JHK, JS, HB, YHS, HMJ

Fig. 1.

Flow diagram of study selection process. RSV, respiratory syncytial virus; LOS, length of stay.

Fig. 2.

(A) Forest plot of lengths of hospital stay. (B) Network graph of lengths of hospital stay. The nodes indicate treatments, while the interconnecting lines (edges) indicate direct comparisons. The thickness of each edge is proportional to the precision of the compared estimate. MD, mean difference; CI, confidence interval.

Fig. 3.

(A) Forest plot of Wang scores representing clinical severity. (B) Network graph of Wang scores representing clinical severity. MD, mean difference; CI, confidence interval.

Table 1.

Number of included studies by intervention and control group

Intervention group	Control group	No. of participants	No of studies
Hypertonic saline	Normal saline	1,077	10
Magnesium sulfate	Normal saline	162	1
Hypertonic saline+epinephrine	Hypertonic saline	185	1
Magnesium sulfate+epinephrine	Epinephrine	120	1
Hypertonic saline+epinephrine	Epinephrine	314	4
Hypertonic saline+epinephrine	Normal saline	182	1
Epinephrine	Hypertonic saline	64	1
Furosemide	Normal saline	32	1
Systemic steroid	Normal saline	235	2
rhDNase	Normal saline	222	1
Epinephrine	Albuterol	92	2
Epinephrine	Normal saline	367	3
Albuterol	Normal saline	274	4
Ribavirin	Normal saline	58	2
Ipratropium bromide	Normal saline	45	2
Albuterol+ipratropium bromide	Normal saline	46	1
Furosemide	Placebo	46	1
Hypertonic saline	Placebo	702	3
Systemic steroid	placebo	455	5
Azithromycin	Placebo	255	2
Montelukast	Placebo	138	2
rhDNase	placebo	75	1
Ribavirin	Placebo	21	1
Total		5,167	52

Table 2.

Characteristics of included studies

Study	Country	No.	Treatment	Age, mean±SD	Outcome	Age, mean±SD
Jaquet-pilloud et al. (2020) [36]	Switzerland	120	Hypertonic saline^a)	7.7 mo	Length of hospital days	47±33.9 hr
Jaquet-pilloud et al. (2020) [36]	Switzerland	120	Placebo	7.5 mo	Length of hospital days	50.4±40.9 hr
Morikawa et al. (2018) [37]	Japan	128	Hypertonic saline^a)	4.4±3.1 mo	Length of hospital days	4.81±2.14 days
Morikawa et al. (2018) [37]	Japan	128	Normal saline	4.2±3.0 mo	Length of hospital days	4.61±2.18 days
Williamson et al. (2018) [38]	USA	46	Furosemide	7.7±5.5 mo	Length of hospital days	2.8±2.35 days
Williamson et al. (2018) [38]	USA	46	Placebo	8.1±6.8 mo	Length of hospital days	3.0±2.45 days
Alansari et al. (2017) [39]	Qatar	162	Magnesium sulfate	4±3 mo	Length of hospital days	24.1±20.76 hr
Alansari et al. (2017) [39]	Qatar	162	Normal saline	5±4 mo	Length of hospital days	25.3±25.87 hr
Flores et al. (2016) [40]	Portugal	68	Hypertonic saline^a)	3.3±2.4 mo	Length of hospital days	5.6±2.3 days
Flores et al. (2016) [40]	Portugal	68	Normal saline	3.8±2.5 mo	Length of hospital days	5.4±2.1 days
Flores-González et al. (2016) [18]	Spain	185	Hypertonic saline^a)+epinephrine	2.10±2.37 mo	Length of hospital days	3.94±1.88 days
Flores-González et al. (2016) [18]	Spain	185	Hypertonic saline^a)	2.12±2.08 mo	Length of hospital days	4.82±2.3 days
Everard et al. (2015) [41]	UK	291	Hypertonic saline^a)	3.3±2.6 mo	Length of hospital days	90.4±73.2 hr
Everard et al. (2015) [41]	UK	291	Placebo	3.4±2.8 mo	Length of hospital days	88.9±67.9 hr
Modaresi et al. (2015) [42]	Iran	120	MgSO4+epinephrine	5.2±2.1 mo	Length of hospital days	84.3±9.7 hr
Modaresi et al. (2015) [42]	Iran	120	Epinephrine	4.8±3.2 mo	Length of hospital days	84. 7±10.1 hr
Khanal et al. (2015) [43]	Nepal		Hypertonic saline+epinephrine^b)	9.82±5.06 mo	Wang score	2.73±1.37
Khanal et al. (2015) [43]	Nepal		Normal saline+epinephrine^b)	9.51±4.28 mo	Wang score	3.6±0.97
Ojha et al. (2014) [44]	Nepla	59	Hypertonic saline	8.61±5.74 mo	Length of hospital days, Wang score	44.82±23.15 hr, 4.00±1.56 hr
Ojha et al. (2014) [44]	Nepla	59	Normal saline	8.51±4.24 mo	Length of hospital days, Wang score	43.60±28.25 hr, 3.83±1.90 hr
Everard et al. (2014) [45]	UK	291	Hypertonic saline^a)	3.3±2.6 mo	Length of hospital days	100.6±76.9 hr
Everard et al. (2014) [45]	UK	291	Placebo	3.4±2.8 mo	Length of hospital days	101.3±84.4 hr
Jacobs et al. (2013) [46]	USA	101	Hypertonic saline^c)+epinephrine^d)	6.0±3.9 mo	Length of hospital days	4.1±0.9 days
Jacobs et al. (2013) [46]	USA	101	Normal saline+epinephrine^d)	5.6±3.3 mo	Length of hospital days	3.9±4.0 days
Alansari et al. (2013) [47]	Qatar	200	Dexamethasone	3.4±2.2 mo	Length of hospital days	18.60±20.92 hr
Alansari et al. (2013) [47]	Qatar	200	Placebo	3.9±2.0 mo	Length of hospital days	27.10±29.04hr
Sharma et al. (2012) [48]	India	248	Hypertonic salinea	4.93±4.31 mo	Length of hospital days	63.93±22.43 hr
Sharma et al. (2012) [48]	India	248	Normal saline	4.18±4.24 mo	Length of hospital days	63.51±21.27 hr
Pinto et al. (2012) [49]	Brazil	184	Azithromycin	3.08±2.23 mo	Length of hospital days	5±2 days
Pinto et al. (2012) [49]	Brazil	184	placebo	3.12±2.29 mo	Length of hospital days	5±2 days
Miraglia Del Giudice et al. (2012) [19]	Italy	106	Hypertonic saline^a)+epinephrine	4.8±2.3 mo	Length of hospital days, Wang score	4.9±1.3 days, 7.4±1.6 days
Miraglia Del Giudice et al. (2012) [19]	Italy	106	Normal saline	4.2±1.6 mo	Length of hospital days, Wang score	5.6±1.6 days, 8.3±1.7 days
Ipek et al. (2011) [50]	Turkey	120	Albuterol	8.13±4.75 mo	Wang score	2.47±2.16
			Albuterol+hypertonic saline^a)	7.90±3.57 mo		2.47±1.93
			Hypertonic saline^a)	8.40±4.19 mo		2.27±2.07
			Normal saline	7.40±3.08 mo		3.10±2.43
Anil et al. (2010) [51]	Turkey	148	Epinephrine	10.4±5.7 mo	Wang score	2.33±1.07
			Epinephrine+hypertonic saline^a)	9.4±5.0 mo		2.47±1.33
			Albuterol	9.0±6.2 mo		2.1±2.1
			Albuterol+hypertonic saline^a)	9.7±6.2 mo		2.63±0.97
			Normal saline	9.1±4.4 mo		2.2±1.2
Gupta et al. (2010) [52]	India	64	Epinephrine	7.10±6.58 mo	Length of hospital days	96.03±111.40 hr
Gupta et al. (2010) [52]	India	64	Hypertonic saline^a)	5.27±3.82 mo	Length of hospital days	82.91±65.94 hr
Al-Ansari et al. (2010) [53]	Qatar	113	Hypertonic saline^e)	4.02±2.56 mo	Length of hospital days	1.56±1.38 days
Al-Ansari et al. (2010) [53]	Qatar	113	Normal saline	3.30±2.43 mo	Length of hospital days	1.88±1.76 days
Luo et al. (2010) [25]	China	112	Hypertonic saline^a)	5.9±4.1 mo	Length of hospital days, Wang score	4.8±1.2 days, 3.5±1.1 days
Luo et al. (2010) [25]	China	112	Normal saline	5.8±4.3 mo	Length of hospital days, Wang score	6.4±1.4 days, 5.9±1.5 days
Zedan et al. (2010) [54]	Egypt	85	Montelukast	3.50±2.37 mo	Length of hospital days	3.34±1.38 days
Zedan et al. (2010) [54]	Egypt	85	Placebo	3.30±2.36 mo	Length of hospital days	5.42±3.47 days
Luo et al. (2009) [23]	China	93	Hypertonic saline^a)	6±4.3 mo	Length of hospital days	6.0±1.2 days
Luo et al. (2009) [23]	China	93	Normal saline	5.6±4.5 mo	Length of hospital days	7.4±1.5 days
Amirav et al. (2008) [55]	Israel	53	Montelukast	3.2±2.8 mo	Length of hospital days	4.65±1.97 days
Bar et al. (2008) [56]	Israel	32	Furosemide	75±37 days	Length of hospital days	76.3±35.4 hr
Bar et al. (2008) [56]	Israel	32	Normal saline	69±50 days	Length of hospital days	87.0±45.9 hr
Kneyber et al. (2008) [57]	Netherland	71	Azithromycin	3.0±0.6 mo	Length of hospital days	132.0±10.8 hr
Kneyber et al. (2008) [57]	Netherland	71	Placebo	3.6±0.5 mo	Length of hospital days	139.6±7.7 hr
Kuzik et al. (2007) [24]	UAE	96	Hypertonic saline^a)	4.4±3.7 mo	Length of hospital days	2.6±1.9 days
Kuzik et al. (2007) [24]	UAE	96	Normal saline	4.6±4.7 mo	Length of hospital days	3.5±2.9 days
Teeratakulpisarn et al. (2007) [58]	Thailand	174	Dexamethasone	10.2±5.5 mo	Length of hospital days	54.2±29.9 hr
Teeratakulpisarn et al. (2007) [58]	Thailand	174	Normal saline	11.2±5.9 mo	Length of hospital days	67.6±41.8 hr
Boogaard et al. (2007) [59]	Netherland	222	rhDNase	2.1 mo	Length of hospital days	4.40±2.69 days
Boogaard et al. (2007) [59]	Netherland	222	Normal saline	2.3 mo	Length of hospital days	3.80±2.42 days
Tal et al. (2006) [20]	Israel	41	Hypertonic saline^a)+epinephrine	2.8±1.2 mo	Length of hospital days, Wang score	3.5±1.7 days, 5.35±1.35 days
Tal et al. (2006) [20]	Israel	41	Normal saline+epinephrine	2.3±0.7 mo	Length of hospital days, Wang score	2.6±1.4 days, 6.45±1.00 days
Bentur et al. (2005) [60]	Israel	61	Dexamethasone	3.3±2.5 mo	Length of hospital days	6.5±1.7 days
Bentur et al. (2005) [60]	Israel	61	Normal saline	3.8±2 mo	Length of hospital days	9.1±1.9 days
Langley et al. (2005) [61]	Canada	62	Epinephrinec	5.49 mo	Length of hospital days	2.60±1.62 days
Langley et al. (2005) [61]	Canada	62	Salbutamol	3.32 mo	Length of hospital days	3.40±2.16 days
Zhang et al. (2003) [62]	Brazil	52	Prednisolone	4±2.5 mo	Length of hospital days	6.00±3.85 days
Zhang et al. (2003) [62]	Brazil	52	Placebo	3.4±1.8 mo	Length of hospital days	5.0±3.2 days
Wainwright et al. (2003) [63]	Australia	194	Epinephrine	4.52±3.01 mo	Length of hospital days	58.80±52.29 hr
Wainwright et al. (2003) [63]	Australia	194	Normal saline	4.35±2.95 mo	Length of hospital days	69.50±54.95 hr
Van Woensel et al. (2003) [64]	Netherland	82	Dexamethasone	5.9±0.9 wk	Length of hospital days	15.9±1.5 days
Van Woensel et al. (2003) [64]	Netherland	82	Placebo	9.8±1.6 wk	Length of hospital days	14.9±1.2 days
Mandelberg et al. (2003) [21]	Israel	52	Hypertonic saline^a)+epinephrine	2.6±1.9 mo	Length of hospital days	3.0±1.2 days
Mandelberg et al. (2003) [21]	Israel	52	Normal saline+epinephrine	3.0±1.2 mo	Length of hospital days	4.0±1.9 days
Patel et al. (2002) [65]	Canada	149	Epinephrinec	4.2±3.1 mo	Length of hospital days	59.8±62.0 hr
			Albuterol	3.9±2.9 mo		61.4±54.0 hr
			Normal saline	4.7±2.9 mo		63.3±47.0 hr
Bertrand et al. (2001) [22]	Chile	30	Epinephrinec	3.9±0.4 mo	Length of hospital days	4.1±1.1 days
Bertrand et al. (2001) [22]	Chile	30	Salbutamol	3.7±0.6 mo	Length of hospital days	5.2±1.0 days
Nasr et al. (2001) [66]	Canada	75	rhDNase	5.43±6.26 mo	Length of hospital days	3.33±2.0 days
Nasr et al. (2001) [66]	Canada	75	Placebo	4.53±4.56 mo	Length of hospital days	3.43±2.30 days
Guerguerian et al. (1999) [67]	Canada	41	Ribavirin	62.5±35.9 days	Length of hospital days	255.9±124.9 hr
Guerguerian et al. (1999) [67]	Canada	41	Normal saline	62.7±30.9 days	Length of hospital days	295±120.4 hr
Van Woensel et al. (1997) [68]	Netherlnad	54	Prednisolone	3.3 mo	Length of hospital days	7.3±1.2 days
Van Woensel et al. (1997) [68]	Netherlnad	54	Placebo	3.9 mo	Length of hospital days	8.3±0.9 days
Klassen et al. (1997) [69]	Canada	67	Dexamethasone	6 wk–15 mo	Length of hospital days	57.00±54.46 hr
Klassen et al. (1997) [69]	Canada	67	Placebo	6 wk–15 mo	Length of hospital days	48.00±16.44 hr
Chowdhury et al. (1995) [70]	Saudi Arabia	89	Salbutamol	3.88±2.30 mo	Length of hospital days	4.5±1.3 days
			Ipratropium bromide	4.16±2.40 mo		4.4±4.3 days
			Salbutamol+ipratropium	3.64±1.8 mo		4.6±4.3 days
			Normal saline	3.72±2.27mo		4.3±1.1 days
Meert et al. (1994) [71]	USA	17	Ribavirin	5.2±7.5 mo	Length of hospital days	10.5±4.0 days
Meert et al. (1994) [71]	USA	17	Normal saline	4.9±4.0 mo	Length of hospital days	8.8±1.6 days
Smith et al. (1992) [72]	USA	21	Ribavirin	1.1±1.1 mo	Length of hospital days	9.0±5.3 days
Smith et al. (1992) [72]	USA	21	Placebo	1.6±2.2 mo	Length of hospital days	15.3±5.3 days

SD, standard deviation.

^a) Nebulization of 3% hypertonic saline every 4–6 hours unless otherwise mentioned.

^b) Two doses of 3% hypertonic saline or 0.9% normal saline with 1.5 mg of L-epinephrine delivered 30 minutes apart.

^c) Nebulization of 7% hypertonic saline every 6 hours.

^d) Used racemic epinephrine.

^e) Compared 5% and 3% hypertonic saline with 0.9% (normal) saline.

Table 3.

Risk of bias of randomized controlled trials of treatment for bronchiolitis

Study	Randomization process	Deviations from intended interventions	Missing outcome data	Measurement of the outcome	Selection of the reported result
Jaquet-pilloud et al. (2020) [36]	High risk	Low risk	Low risk	Low risk	Low risk
Morikawa et al. (2018) [37]	Low risk	Low risk	Low risk	Some concerns	Low risk
Williamson et al. (2018) [38]	Low risk	Low risk	Low risk	Some concerns	Low risk
Alansari et al. (2017) [39]	Low risk	Low risk	Low risk	Low risk	Low risk
Flores et al. (2016) [40]	Low risk	Low risk	Low risk	Low risk	Low risk
Flores-González et al. (2016) [18]	Some concerns	Some concerns	Low risk	Some concerns	Low risk
Everard et al. (2015) [41]	Low risk	Low risk	Low risk	Some concerns	Low risk
Modaresi et al. (2015) [42]	Low risk	Low risk	Low risk	Low risk	Low risk
Khanal et al. (2015) [43]	Low risk	Low risk	Low risk	Low risk	Low risk
Ojha et al. (2014) [44]	High risk	Some concerns	Low risk	High risk	Low risk
Everard et al. (2014) [45]	Low risk	Low risk	Low risk	Some concerns	Low risk
Jacobs et al. (2013) [46]	Low risk	Low risk	Low risk	Some concerns	Low risk
Alansari et al. (2013) [47]	Low risk	Low risk	Low risk	Low risk	Low risk
Sharma et al. (2012) [48]	Low risk	Low risk	Low risk	Low risk	Low risk
Pinto et al. (2012) [49]	Low risk	Low risk	Low risk	Some concerns	Low risk
Miraglia Del Giudice et al. (2012) [19]	Some concerns	Some concerns	Some concerns	High risk	Low risk
Ipek et al. (2011) [50]	Low risk	Low risk	Low risk	Low risk	Low risk
Anil et al. (2010) [51]	Low risk	Low risk	Low risk	Low risk	Low risk
Gupta et al. (2010) [52]	Low risk	Low risk	Low risk	Some concerns	Low risk
Al-Ansari et al. (2010) [53]	Low risk	Low risk	Low risk	Low risk	Low risk
Luo et al. (2010) [25]	Low risk	Low risk	Low risk	Low risk	Low risk
Zedan et al. (2010) [54]	Some concerns	Low risk	Low risk	Some concerns	Low risk
Luo et al. (2009) [23]	Low risk	Low risk	Low risk	Low risk
Amirav et al. (2008) [55]	Low risk	Low risk	Low risk	Low risk	Low risk
Bar et al. (2008) [56]	Low risk	Low risk	Low risk	Low risk	Low risk
Kneyber et al. (2008) [57]	Low risk	Low risk	Low risk	Some concerns	Low risk
Kuzik et al. (2007) [24]	Low risk	Low risk	Low risk	Some concerns	Low risk
Teeratakulpisarn et al. (2007) [58]	Low risk	Low risk	Low risk	Low risk	Low risk
Boogaard et al. (2007) [59]	Low risk	Low risk	Low risk	Low risk	Low risk
Tal et al. (2006) [20]	Low risk	Low risk	Low risk	Some concerns	Low risk
Bentur et al. (2005) [60]	Low risk	Low risk	Low risk	Some concerns	Low risk
Langley et al. (2005) [61]	Low risk	Low risk	Low risk	Low risk	Low risk
Zhang et al. (2003) [62]	Low risk	Low risk	Low risk	Some concerns	Low risk
Wainwright et al. (2003) [63]	Low risk	Low risk	Low risk	Some concerns	Low risk
Van Woensel et al. (2003) [64]	Low risk	Low risk	Low risk	Some concerns	Low risk
Mandelberg et al. (2003) [21]	Low risk	Low risk	Low risk	Some concerns	Low risk
Patel et al. (2002) [65]	Low risk	Low risk	Low risk	Some concerns	Low risk
Bertrand et al. (2001) [22]	Low risk	Low risk	Low risk	Some concerns	Low risk
Nasr et al. (2001) [66]	Low risk	Some concerns	Low risk	Some concerns	Low risk
Guerguerian et al. (1999) [67]	Some concerns	High risk	Low risk	Some concerns	Low risk
Van Woensel et al. (1997) [68]	Some concerns	High risk	Low risk	Low risk	Low risk
Klassen et al. (1997) [69]	Low risk	Low risk	Low risk	Low risk	Low risk
Chowdhury et al. (1995) [70]	Low risk	Low risk	Low risk	Low risk	Low risk
Meert et al. (1994) [71]	Low risk	Low risk	Low risk	Low risk	Low risk
Smith et al. (1992) [72]	Low risk	Low risk	Low risk	Low risk	Low risk

Table 4.

P score ranking of length of hospital stay

Treatment	P score
Montelukast	0.824
Azithromycin	0.792
Systemic steroid	0.682
Epinephrine	0.675
Ribavirin	0.650
Magnesium sulfate+epinephrine	0.649
Hypertonic saline	0.552
Furosemide	0.548
Hypertonic saline+epinephrine	0.534
Placebo	0.501
Magnesium sulfate	0.365
Ipratropium bromide	0.297
rhDNase	0.2901
Normal saline	0.251
Albuterol+ipratropium bromide	0.209
Albuterol	0.182

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