Authors
Government Medical College Srinagar, India.
Abstract
BACKGROUND Bronchiolitis is a significant cause of acute morbidity in children less than 2 years old and some children with bronchiolitis are admitted to the hospital.
AIMS AND OBJECTIVES
To identify clinical predictors of hospital admission in children aged 0-24 months with acute bronchiolitis.
METHODS: All children in the age group of 0-24 months presenting with acute bronchiolitis to a dedicated pediatric emergency department of GB pant cantonment children hospital, Govt Medical College Srinagar, from April 2012-March 2013 were included in the study, provided they met the inclusion criteria. Non-parametric numerical variables were analyzed using Mann Whitney u test. Chi square was used to analyzecategorical variables, p value < 0.05 was considered significant.
RESULTS: 763(552(72.3%) male, mean age 8.52+/- 3.59 months) children (0-24months) presented with acute bronchiolitis during the study period. 435(313 (72%) male, mean age 6.69+/-3.8 months)patients were admitted to the hospital. The eight best predictors of admission (age, respiratory rate, heart rate, oxygen saturation, fever, grunt, dehydration and duration of symptoms) were determined.
CONCLUSION:This study has identified clinical predictors of admission in children aged 0-24 months with acute bronchiolitis. This information can be used as a guide in deciding whether to admit a child with bronchiolitis.
Keywords
INTRODUCTION
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Bronchiolitis is an acute infectious, inflammatory disease of lower respiratory tract resulting in obstruction of small airways.1,2Itisthemostcommon , serious , acute respiratory illness in infants and young children.3-9It occurs most often in children between the ages of0 and 24 months with peak infection occurring at 6 months ofage.10Male:Female ratio being 1.5:1.The diagnosis of bronchiolitis is a clinical one .The main clinical features of bronchiolitis are difficulty breathing, coryza, poor feeding,cough, wheeze and crepitations on auscultation. The disease is predominantly associated with viral infection (most commonly respiratory syncytial virus) and generally occurs in a seasonal pattern, with the highest incidence in the winter months.11
The clinical course of children with acute bronchiolitis is variable, most children have a mild severity of illness, but some children have a severe course manifested by apnea, intensive care unit admission, intubation or even death. Even among children with apparently mild bronchiolitis, the clinical course is often unpredictable, making it difficult for physicians in the emergency department to determine the appropriate disposition for a child with bronchiolitis. Nevertheless, most children who present to the emergency department with bronchiolitis are discharged to home. Some patients will be discharged inappropriately due to errors in clinical judgment, which can have devastating consequences.
A number of studies have attempted to explore the factors which are taken into account when deciding whether to admit a child with bronchiolitis,12-17 but few have examined a list of potential factors which play a role in clinical decision making .
OBJECTIVE
In this study we aimed to identify the clinical predictors of hospital admission in children aged 0-24 months with acute bronchiolitis.
METHODS
Study design
All children in the age group of 0-24 months presenting with acute bronchiolitis to a pediatric emergency department of GB pant cantonment children hospital, Govt Medical College Srinagar, from April 2012 to March 2013 were included in the study, provided they met the inclusion criteria. Data for each child was extracted through history and clinical examination.
Study population
Children presenting in the age group of 0-24 months were considered for inclusion in the study. The inclusion criterion was a clinical diagnosis of acute bronchiolitis documented by a clinician in a child under the age of 24 months.
Identification of clinical predictors for admission
In order to ensure that all potentially significant predictors of admission were considered, we conducted a literature review and devised a list of 10 potentially relevant clinical predictors through expert discussion. Both objective and non-objective predictors were considered as long as they could be determined from the child’s care while in the emergency department. The list of potential predictors can be found in box 1
Potential clinical predictors of admission in acute bronchiolitis(box 1)
- Ø Age at presentation (months)
- Ø Gender
- Ø Presence of cough
- Ø Temperature (>100 F)
- Ø Duration of symptoms (days)
- Ø Heart rate18 (<120,120-160,>160 beats/min)
- Ø Respiratory rate 18(<40,40-60,>60 breaths/min)
- Ø Oxygen saturation18 (>98, 94-98,>98%)
- Ø Presence of grunt
- Ø Clinical signs of dehydration
The data was analyzed using SPSS software version 17.0. Non-parametric numerical variables were analyzed using Mann-Whitney U test. Chi square was used to analyze categorical variables, p value < 0.05 was considered significant. Post hoc analysis was used for heart rate, respiratory rate and oxygen saturation.
RESULTS
Total of 763 [552(72.3%) male] patients with clinical features suggestive of acute bronchiolitis were included in the study. The mean age at presentation was 7.47 +/-4.3 months. The mean duration of symptoms at presentation was 3.83 +/-1.2 days. Out of 763 patients, 435(57%) patients were admitted to the hospital. The mean age of admitted and non-admitted patients was 6.69 +/- 3.8 months and 8.52 +/- 3.59 months respectively. The difference was statistically significant (p< 0.05). The mean duration of symptoms in admitted and non-admitted group was 4.02 +/- 1.2 days and 3.59 +/- 1.2 days respectively which is statistically significant (p<0.05).In the admitted and non-admitted group males were 313(72%) and 239(72.9%), a statistically insignificant (p >0.05) predictor.Total of 259(59.5%) patients in the admitted group and 200 (60.9%) patients in the non-admitted group presented with cough, the difference was however statistically insignificant (p>0.05). Fever was present in 99(22.7%) patients in the admitted group and 130(39.6%) patients in the non-admitted group, the difference was statistically significant (p<0.05). 62(14.2%) patients in the admitted group had heart rate >160beats/min against 44(13.4%) patients in the non-admitted group which was statistically significant (p<0.05). In the admitted group 194(44.5%) patients had respiratory rate >60breaths/min as against 34(10.3%) patients in the non-admitted group which shows statistical significance (p<0.05). 43(9.8%) patients in the admitted group had oxygen saturation <94% as against 1 patient in the non-admitted group which was highly significant statistically (p<0.05). Grunt was present in 135(31.0%) patients in the admitted group and 78(23.7%) patients in the non-admitted group, the difference was statistically significant (p<0.05). Dehydration was present clinically in 128(29.4%) patients in the admitted group and 70(21.3%) patients in the non-admitted group, the difference was highly significant (p<0.05).
Total of eightpredictors: age, fever, duration of symptoms,grunt, dehydration, heart rate>160beats/min, respiratory rate >60breaths/min and oxygen saturation were statistically significant (p<0.05) and hence significant predictors of hospital admission.
TABLE SHOWING THE SIGNIFICANCE OF VARIOUS PREDICTORS
PREDICTOR |
0R |
p VALUE |
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0.911 |
<0.05 |
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0.741 |
>0.05 |
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1.510 |
<0.05 |
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0.304 |
<0.O5 |
|
1.242 |
<0.05 |
|
1.398 |
<0.05 |
|
0.675 |
>0.05 |
|
1.072 |
<0.05 |
|
6.960 |
<0.05 |
|
35.869 |
<0.05 |
DISCUSSION
In our study we found eight predictors of admission in children (0-24months) with acute bronchiolitis. Although in some countries bronchiolitis is diagnosed up to the age of five, a large majority of those admitted to hospital with bronchiolitis are infants. Notably, 72.0% of admitted patients were males. This correlates with the findings of other studies, where it has also been noted that males are more likely to be hospitalized with bronchiolitis.19-21The mean age of admitted patients in our study was 6.69+/-3.8months which correlates with other studies.22In our study the mean duration of symptoms in admitted patients was 4.02+/-1.2 days .22MarlaisM (2011) reported 2.9 days as the mean duration of symptoms in acute bronchiolitis which is consistent with our study. Cough was present in 259(59.5%) of patients admitted with acute bronchiolitis (p>0.05), aninsignificant predictor of hospital admission. No study has reported that cough is a predictor of hospitalization in children with acute bronchiolitis. Fever was present in 99(22.8%) patients admitted with acute bronchiolitis (p<0.05), a significant predictor of hospital admission in patients with acute bronchiolitis. No study has determined the significance of fever as a predictor of hospitalization in children with acute bronchiolitis.
We found that heart rate more than 160beats/min is a significant predictor of hospitalization, consistent with other studies.12,17We also found respiratory rate more than 60breaths/min as a significant predictor of admission in children less than 2 years with acute bronchiolitis.13,17,19 Oxygen saturation less than 94% was present in 43(9.8%) patients in the admitted group, a statistically significant predictor of hospital admission. Voets S reported that oxygen saturation less than 95% predicted the severity of pulmonary disease and need for hospital admission. The findings of our study are similar to those of Walsh P et al, they found that dehydration predicted the need for admission and a longer hospital stay. We also determined grunt as a significant predictor of hospital admission.23 Shaw KN et al reported grunt as a predictor of severe disease and hence a predictor of hospitalization in children with acute bronchiolitis.
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CONCLUSION
This study has identified clinical predictors of admission in children aged 0-24 months with acute bronchiolitis. This information can be used as a guide in deciding whether to admit a child with bronchiolitis.
CONFLICT OF INTEREST: None
AKNOWLEDGMENT: Authors want to thank all the parents and guardians who consented for their wards participation in the study.
- Lucian K DeNicola ,Michael O Gayle-criticalcaremedicine, University of Florida, Health science centre/Jackson villewww.demsonline.org/jax medicine/1998 Journals/september1998/bronchiolitis.htm
2.Mark Louden, Richard G Bachur . Emergent management of pediatricbronchiolitis, American Academy of Emergency medicine and Americancollege of Emergency Physicians.Pediatr; Oct 2006;118(4) : 1774-1793
3. Shaw K N , Bell L M , Sherman N H. Diagnosis and management of bronchiolitis . Pediatr ; 2006 : p 1774 - 1793
4.Wandalsen, Gustavo.Cytokine profile and acute bronchiolitis.Allergologiaet Immunopathologia; 2011(39) : p1-2
5 Mark L Everard . Acute Bronchiolitis and Croup. PediatrClinNorth Am ; 2009: p119-133
6 Pianosi P .Diagnosis and management of bronchiolitis.Clinical practice guidelines.paediatr;Oct-2006 : p-1774-1793
7. HuimingKo. The evidence based management of bronchiolitis. Evi Based Med ; 2009 (10): p 1528-1837
8. Frank J Accusa.Respiratory tract and mediastinum.CPDT volume-1 ;18thed :chapter 18
9.Umoren R,Odey F, Meremiikwu MM. Steam inhalation or humidified oxygen for acute bronchiolitis in children upto 3 years of age.Cochrane Database SystRev ; 2011 : p 1
10. Katherine Rivera Spaljaru, Leonard B.Bacharier. Washington manual of paediatrics ; 1sted; chapter 20: p334-337
11. Gabriel G. Haddad,J.Julio, Perez Fontan.Nelson textbook of paediatrics;19th edition : p1415-1417
12. Wash P, Rothenberg SJ , Stephan J , et al . A validated clinical model to predict the need for admission and length of stay in children with acute bronchiolitis .Eur J Emerg Med;2004 ;11 : p 265-272
13. Voets S; Van BerlaerG ;Hachimi-Idrissi . Clinical predictors of the severity of bronchiolitis.EurJ Emerg Med2006 ;13 : P134-138
14. Damore D, Mansbach JM, Clark S, et al.Prospective multicentre bronchiolitis study: predicting intensive care unit admissions. AcadEmerg Med 2008;15:p 887-894.
15 Mansbach JM, Clark S, Christopher NC, et al. Prospective multicentre study of bronchiolitis: predicting safe discharges from the emergency department. Pediatrics2008;121: p 680-688.
16 Spencer N, Logan S, Scholey S, et al. Deprivation and bronchiolitis.Arch Dis Child1996 ;74: p 50-52.
17. Marlais M, Evans J. Abrahamson E. Clinical predictors of admission in infants with acute bronchiolitis. BMJ2011 : P 648-652
18. Papadopoulas NG, Moustaki M, Tsolia M, et al. Association of Rhinovirus Infection with Increased Disease Severity in Acute Bronchiolitis. Am J RespirCrit Care Med 2002 May 1;165(9):p 1285-1289.
19. MuhiK.Al-Janabi; Ridha H. Al-Bayati; Nadia Aziz.Predictors of Hypoxemia in Children with Acute Lower Respiratory Tract Infections .Iraqi postgrad Med J2009 ;1 : p 40-43
20. Douglas F. Wilson , Susan D. Horn , Randall Smout et al . Severity assessment in children hospitalized with bronchiolitis using the pediatric component of the comprehensive severity index. PediatrCrit Care Med2000;1 : P 127 – 131.
21. Shay DK, Holman RC, Newman RD, et al. Bronchiolitis –associated hospitalizations among US children, 1980-1996.JAMA 1999;282:p 1440-1446.
22. Lance Brown , David G. Reiley , Aaron Jeng , et al . Bronchiolitis : Can objective criteria predict eligibility for brief hospitalization ? CJEM 2003 ; 5 (4) : p 239 – 244
23.Shaw KN, Bell LM, Sherman NH, et al. Outpatient assessment of infants with bronchiolitis. Am J Dis Child 1991;145:p 151.