Abstract
Objectives
Large studies are needed to update risk factors of bronchiolitis hospitalization. We performed a nationwide analysis of hospitalization rates for bronchiolitis over four consecutive bronchiolitis seasons to identify underlying medical disorders at risk of bronchiolitis hospitalization and assess their frequency.
Methods
Data were retrieved from the French National Hospital Discharge database. Of all infants discharged alive from maternity wards from January 2008 to December 2013 in France (N = 3,884,791), we identified four consecutive cohorts at risk of bronchiolitis during the seasons of 2009–2010 to 2012–2013. The main outcome was bronchiolitis hospitalization during a season. Individual risk factors were collected.
Results
Among infants, 6.0% were preterm and 2.0% had ≥1 chronic condition including 0.2% bronchopulmonary dysplasia (BPD) and 0.2% hemodynamically significant congenital heart disease (HS-CHD). Bronchiolitis hospitalization rates varied between seasons (min: 1.26% in 2010–2011; max: 1.48% in 2012–2013; p<0.001). Except omphalocele, the following conditions were associated with an increased risk for bronchiolitis hospitalization: solid organ (9.052; 95% CI, 4.664–17.567) and stem cell transplants (6.012; 95% CI, 3.441–10.503), muscular dystrophy (4.002; 95% CI, 3.1095–5.152), cardiomyopathy (3.407; 95% CI, 2.613–4.442), HS-CHD (3.404; 95% CI, 3.153–3.675), congenital lung disease and/or bronchial abnormalities, Down syndrome, congenital tracheoesophageal fistula, diaphragmatic hernia, pulmonary hypertension, chromosomal abnormalities other than Down syndrome, hemodynamically non-significant CHD, congenital abnormalities of nervous system, cystic fibrosis, cleft palate, cardiovascular disease occurring during perinatal period, and BPD.
Conclusion
Besides prematurity, BPD, and HS–CHD, eighteen underlying conditions were associated with a significant increased risk for bronchiolitis hospitalization in a nationwide population.
Introduction
Bronchiolitis is the most common seasonal viral respiratory disorder and the leading cause of hospital admission due to viral infection in the first 12 months of life [1–4]. Respiratory syncytial virus (RSV) represents the most common cause of bronchiolitis, followed by other viruses, such as rhinovirus, influenza, or metapneumovirus [1,3,4]. It is well-established that premature infants and those with bronchopulmonary dysplasia (BPD) or congenital heart disease (CHD) are at high-risk for severe bronchiolitis requiring hospital admission during epidemic season [5–7]. Recently, D. Verhoeven notes that although some of the morbidity associated with RSV in neonates is due to immunological maturation, the rapid development of the immune system right after birth suggests that each age group of infants may respond to the virus in different ways [8]. Infants with chronic conditions, such as Down syndrome, congenital malformations, especially pulmonary and airway anomalies, cystic fibrosis, and neuromuscular diseases, may also be associated with an increased vulnerability to severe bronchiolitis [9]. However, a recent systematic review has highlighted the need for large studies to better identify, update, and estimate risk factors associated with hospital admission for bronchiolitis, especially those including infants with rare underlying medical disorders in a real-life setting [5–7,9]. In the area of innovative therapies for RSV infection bronchiolitis, it is also crucial to have solid data on risk factors and susceptible populations for an optimal use of new resources.
The aims of the present study were to 1) perform a nationwide analysis of the hospitalization rate for bronchiolitis in infants over four consecutive seasons using nationwide hospital discharge data, and 2) identify independent risk factors for bronchiolitis hospitalization in this large cohort.
Methods
The present study was a retrospective cohort study over four consecutive bronchiolitis seasons.
Data source
Data were retrieved from the French National Hospital Discharge database (“Programme de Médicalisation des Systèmes d’Information”; PMSI). This database provides exhaustive medico-administrative information about all patients admitted to public and private hospitals in France. Hospital births represent more than 95% of all births in France [10]. For each hospital birth, a standard discharge abstract is recorded and encompasses the following characteristics: birth weight, gestational age (GA) in weeks, primary and associated discharge diagnoses encoded using the 10th revised edition of the International Classification of Diseases (ICD–10), medical procedures, admission to the neonatal intensive care unit (NICU), length of stay and in-hospital death. Using an anonymous unique identifier, any rehospitalization following maternity discharge can be followed over time [2,11].
Study population
All infants discharged alive from maternity wards from January 1, 2008, to December 31, 2013, in metropolitan France were initially included in the study. Infants discharged with missing birth weight or discharged after March 31, 2013, were excluded.
The study population was structured into four consecutive cohorts at risk of bronchiolitis during the seasons of 2009–2010 to 2012–2013 (Fig 1). The bronchiolitis season usually lasts from early October to late March of the following year in France [3]. Accordingly, each cohort was composed of all infants <2 years of age on October 1, as well as all newborns discharged until March 31. In theory, all infants could be consecutively exposed to 2 or 3 seasons depending on their birthdate in April to September or October to March, respectively. Because hospital discharge data were left-truncated on January 1, 2008 and right-truncated on March 31, 2013, infants could be followed at different ages in 1, 2, or 3 consecutive cohorts. In particular, infants older than 12 months at October 1, 2009, and infants born after March 31, 2012, were followed over a single season, while infants born during the season of 2009–2010 or 2010–2011 were followed at different ages in three consecutive cohorts.
Fig 1. Flow chart of sample selection.
Abbreviations: RSV, respiratory syncytial virus.
Outcomes
The main outcome was hospitalization for acute bronchiolitis (ICD-10: J21) during a bronchiolitis season. The following individual risk factors were collected: single or multiple births, birth weight, GA, age at season onset, underlying medical disorders, and history of bronchiolitis and/or low respiratory tract infection (LRTI). Unlike birth weight, GA was not mandatory in standard discharge abstracts until March 1, 2009, and some maternity wards did not record GA. Multivariate regression was therefore used to impute missing completely at random data on GA (11.9%) based on gender, birth weight, and main characteristics of neonatal stay (i.e., length of hospital stay, admission to NICU, and in-hospital death) [12,13]. GA was categorized into extremely preterm (22–27 GA), very preterm (28–32 GA), moderate preterm (33–36 GA), full-term (37–41 GA), and post-term (≥42 GA) [14]. The fifth and tenth percentiles of birth weight were calculated by gender and GA for the study population (S1 Table) and birth weight was categorized into intrauterine growth restriction and other very small for GA (birth weight <5%) or small for GA (birth weight: 5–10%).
Age at season onset was calculated by the time from neonatal discharge to October 1 and infants and children were grouped into seven age categories: >18 months; 13–18 months; 7–12 months; 4–6 months (April–June); 1–3 months (July–September); born at onset of the bronchiolitis season (October–December); and born at the end of the bronchiolitis season (January–March). Infants discharged from the NICU at onset of the bronchiolitis season were also identified.
Nineteen chronic conditions that have been associated with an increased risk for bronchiolitis were retrieved using a medical literature search (S1 Appendix) [9,15,16]. All the corresponding ICD–10 codes were collected from hospital records, including BPD and CHD, according to the criteria from the Anatomic and Clinical Classification of Congenital Heart Disease and corresponding ICD–10 codes [17]. Hemodynamically significant CHD (HS–CHD) was identified by any cardiac surgery. Preterm infants with patent ductus arteriosus requiring a treatment were reported as HS–CHD. A history of bronchiolitis (and otherwise LRTI) was identified by any record of bronchiolitis (and otherwise LRTI) before the bronchiolitis season (i.e., during the neonatal hospital stay or before October 1). In addition, the following maternal characteristics were identified from the neonatal hospital stay: “smoking during pregnancy”, “cardiovascular and respiratory diseases”, and “diabetes”.
All ICD–10 codes are detailed in S2 Appendix.
Confounding factors
Postal codes of maternity wards were gathered into five main French regions to adjust for geographical area. Furthermore, environmental risk factors comprise smoking habits and socioeconomic status of parents, which are not described in the standard discharge abstracts of infants. We calculated 7 population statistics related to these environmental risk factors by postal code of residency (n = 5,645): mean age at first pregnancy; hospitalization rates for in vitro fertilization; hospitalization rates for tobacco addiction, chronic obstructive pulmonary disease, or asthma; percentage of women with at least a high school diploma; and living in rural areas. Population statistics were linked to the postal code of maternal residency and used as proxies to control for environmental risk factors of the infant.
Statistical analysis
Hospitalization rates for bronchiolitis were calculated by bronchiolitis season with use of the number of infants admitted to hospital for bronchiolitis during the season (numerator) among all infants at risk on October 1 of each season (denominator). Multivariate logistic regression was applied to identify risk factors for bronchiolitis hospitalization. Generalized Estimating Equations (GEE) with exchangeable correlation structure was used to take into account repeated measurements at different ages of the infant. Associations between the risk of bronchiolitis hospitalization, seasons, and individual risk factors were expressed by adjusted odds ratios (ORs) and 95% confidence intervals (CIs).
Sensitivity analyses were performed on the case definition of bronchiolitis using hospitalization for severe bronchiolitis (i.e., bronchiolitis requiring a NICU admission, respiratory support or associated with respiratory insufficiency), RSV infection (i.e., LRTI related to RSV), and LRTI during a bronchiolitis season [18–20]. Sensitivity analyses were also performed on the effect of repeated measurements by selecting infants at first bronchiolitis season exposure.
All analyses involved the use of SAS statistical software, version 9·4 (SAS Institute, Cary, NC, USA).
Ethics and consent
The study was approved by the French National Commission for Data Protection (CNIL DE–2015–025) who granted access to the French National Hospital Discharge database for the years 2008 to 2013. The requirement for informed consent was waived because the study used de–identified data.
Results
Characteristics of the study population
The study population comprised 3,884,791 infants (Fig 1) after excluding 13,885 (0.31%) infants with missing birth weight. Boys and girls were almost evenly distributed across bronchiolitis seasons (Table 1).
Table 1. Characteristics of infants and children <2 years at-risk over four consecutive bronchiolitis seasons (N = 7,211,571).
| Characteristics, n (%) | 2009–2010 | 2010–2011 | 2011–2012 | 2012–2013 |
|---|---|---|---|---|
| Cohort at- risk on October 1, Na | 1,635,123 | 1,848,779 | 1,868,665 | 1,859,004 |
| Characteristics of the infant and delivery: | ||||
| Male sex | 837,913 (51.24) | 945,688 (51.15) | 954,386 (51.07) | 948,580 (51.03) |
| Multiple birth | 22,676 (1.39) | 25,726 (1.39) | 26,517 (1.42) | 26,495 (1.43) |
| Gestational age: | ||||
| Extremely preterm (22–27 GA) | 2,193 (0.13) | 2,400 (0.13) | 2,485 (0.13) | 2,495 (0.13) |
| Very preterm (28–32 GA) | 13,015 (0.80) | 14,281 (0.77) | 14,639 (0.78) | 14,572 (0.78) |
| Moderate preterm (33–36 GA) | 81,220 (4.97) | 93,526 (5.06) | 95,515 (5.11) | 96,174 (5.17) |
| Full-term (37–41 GA) | 1,528,984 (93.51) | 1,724, 815 (93.29) | 1,740,782 (93.16) | 1,729,616 (93.04) |
| Post-term (≥42 GA) | 9,711 (0.59) | 13,757 (0.74) | 15,244 (0.82) | 16,147 (0.87) |
| Growth restriction: | ||||
| Intrauterine growth restriction | 6,135 (0.38) | 7,339 (0.40) | 7,352 (0.39) | 7,107 (0.38) |
| Very small for GA (birth weight <5%) | 55,060 (3.37) | 81,090 (4.39) | 88,934 (4.76) | 88,980 (4.79) |
| Small for GA (birth weight: 5–10%) | 55,652 (3.40) | 81,592 (4.41) | 89,506 (4.79) | 89,755 (4.83) |
| Time elapsed from neonatal discharge to October 1: | ||||
| Second or third exposure to a bronchiolitis season | ||||
| 19–24 months (19–21 in 2009–2010) | 173,282 (10.60) | 348,781 (18.87) | 366,043 (19.59) | 371,491 (19.98) |
| 13–18 months | 364,140 (22.27) | 374,575 (20.26) | 379,513 (20.31) | 379,723 (20.43) |
| 7–12 months | 352,397 (21.55) | 369,573 (19.99) | 375,368 (20.09) | 366,998 (19.74) |
| First exposure to a bronchiolitis season | ||||
| 4–6 months (April–June) | 181,082 (11.07) | 185,080 (10.01) | 184,839 (9.89) | 181,969 (9.79) |
| 1–3 months (July–September) | 193,695 (11.85) | 194,679 (10.53) | 195,182 (10.44) | 192,119 (10.33) |
| RSV season onset (October–December) | 187,132 (11.44) | 195,191 (10.56) | 187,144 (10.01) | 190,253 (10.23) |
| RSV season end (January–March) | 183,395 (11.22) | 180,900 (9.78) | 180,576 (9.66) | 1,76,451 (9.49) |
| Discharge from NICU (October–December) | 8,194 (0.50) | 8,727 (0.47) | 8,415 (0.45) | 8,654 (0.47) |
| History of severe respiratory infection: | ||||
| Bronchiolitis | 25,091 (1.53) | 36,392 (1.97) | 39,515 (2.11) | 41,234 (2.22) |
| Other LRTI | 6,142 (0.38) | 8,592 (0.46) | 7,499 (0.40) | 7,219 (0.39) |
| Underlying medical disorders: | ||||
| Bronchopulmonary dysplasiab | 3,375 (0.21) | 3,619 (0.20) | 3,825 (0.20) | 3,992 (0.21) |
| Congenital heart diseasec | ||||
| Hemodynamically significant CHD (surgery)c | 2,856 (0.17) | 3,096 (0.17) | 3,103 (0.17) | 2,721 (0.15) |
| Hemodynamically non-significant CHDc | 10,054 (0.61) | 11,140 (0.60) | 11,460 (0.61) | 11,949 (0.64) |
| Other underlying medical disordersb | 16,818 (1.03) | 18,918 (1.02) | 19,836 (1.06) | 20,934 (1.13) |
| Pulmonary hypertension | 363 (0.02) | 377 (0.02) | 414 (0.02) | 412 (0.02) |
| Congenital lung disease and/or bronchial abnormalities | 497 (0.03) | 573 (0.03) | 592 (0.03) | 566 (0.03) |
| Congenital tracheoesophageal fistula | 343 (0.02) | 406 (0.02) | 408 (0.02) | 412 (0.02) |
| Cystic fibrosis | 481 (0.03) | 550 (0.03) | 551 (0.03) | 489 (0.03) |
| Cardiovascular disease occurring during the perinatal period without CHD identified in the follow-up | 10,054 (0.61) | 11,542 (0.62) | 12,614 (0.68) | 14,037 (0.76) |
| Cardiomyopathy | 211 (0.01) | 233 (0.01) | 242 (0.01) | 224 (0.01) |
| Diaphragmatic hernia | 295 (0.02) | 302 (0.02) | 261 (0.01) | 211 (0.01) |
| Omphalocele | 264 (0.02) | 258 (0.01) | 237 (0.01) | 274 (0.01) |
| Muscular dystrophy | 250 (0.02) | 246 (0.01) | 238 (0.01) | 178 (0.01) |
| Congenital abnormalities of the nervous system | 761 (0.05) | 822 (0.04) | 793 (0.04) | 768 (0.04) |
| Cleft palate | 1,925 (0.12) | 2,117 (0.11) | 2,059 (0.11) | 2,027 (0.11) |
| Down syndrome | 876 (0.05) | 1,029 (0.06) | 1,109 (0.06) | 1,120 (0.06) |
| Other chromosomal abnormality | 924 (0.06) | 952 (0.05) | 840 (0.04) | 725 (0.04) |
| HIV infection | 111 (0.01) | 116 (0.01) | 101 (0.01) | 74 (0.00) |
| Solid organ transplant | 21 (0.00) | 23 (0.00) | 27 (0.00) | 26 (0.00) |
| Stem cell transplant | 43 (0.00) | 45 (0.00) | 44 (0.00) | 49 (0.00) |
| Maternal disorders during pregnancy: | ||||
| Maternal smoking | 31,426 (1.92) | 37,752 (2.04) | 39,745 (2.13) | 42,559 (2.29) |
| Cardiovascular or respiratory diseases | 1,134 (0.07) | 1,255 (0.07) | 1,269 (0.07) | 1,264 (0.07) |
| Diabetes mellitus | 31,647 (1.94) | 40,497 (2.19) | 45,558 (2.44) | 49,635 (2.67) |
Abbreviations: CHD, congenital heart disease; GA, gestational age; ICD–10, 10th revised edition of the International Classification of Diseases; LRTI, lower respiratory tract infection; NICU, neonatal intensive care unit; RSV, respiratory syncytial virus.
aDepending on birthdate, a newborn may be at-risk in one to three consecutive bronchiolitis seasons. For instance, an infant born in March 1, 2010 was at-risk in the 2009–2010 season (age category: RSV season end), 2010–2011 season (age category: 7–12 months), and 2011–2012 season (age category: 19–24 months).
bICD–10 codes were identified from hospital records.
cCHD was identified according to the criteria from the Anatomic and Clinical Classification of Congenital Heart Disease and corresponding to validated ICD–10 codes [17]. Cardiac surgery was identified as hemodynamically significant CHD.
Preterm infants accounted for about 6.0% of live-born infants on October 1 each year: 0.1% extremely preterm, 0.8% very preterm, and 5.1% moderate preterm. Infants with ≥1 diagnosis out of nineteen chronic conditions under study represented approximately 2.0% of the study population. Approximately 0.2% of live-born infants on October 1 of each year had BPD and HS–CHD. Hemodynamically non-significant CHD and other underlying medical disorders were present in 0.6% and 1.1% of infants, respectively. A history of bronchiolitis and LRTI, respectively, was noted in 2.0% and 0.4% of the infants on October 1. Maternal smoking during pregnancy was reported for 2.1% of the infants.
Bronchiolitis hospitalization rates
Hospitalization rates for bronchiolitis varied significantly between seasons, with a higher rate in 2012–2013 (1.48%) compared with 2010–2011 (1.26%; p < .001; Table 2).
Table 2. Hospital admissions for bronchiolitis, severe bronchiolitis, RSV infection, and acute LRTI over four consecutive bronchiolitis seasons (N = 7,211,571).
| Outcomes, n (%) | 2009–2010 | 2010–2011 | 2011–2012 | 2012–2013 |
|---|---|---|---|---|
| Cohort at-risk on October 1, Na | 1,635,123 | 1,848,779 | 1,868,665 | 1,859,004 |
| Bronchiolitis (RSV or not) | 23,466 (1.44) | 23,218 (1.26) | 25,352 (1.36) | 27,458 (1.48) |
| Sensitivity analyses: | ||||
| Severe bronchiolitis (RSV or not): | 5,970 (0.37) | 6,331 (0.34) | 7,310 (0.39) | 8,272 (0.44) |
| Admission in NICU | 1,810 (30.32) | 1,955 (30.88) | 2,365 (32.35) | 2,608 (31.53) |
| Respiratory supportb | 2,719 (45.54) | 2,945 (46.52) | 3,333 (45.60) | 3,861 (46.68) |
| Respiratory insufficiency (ICD–10 code) | 1,441 (24.14) | 1,431 (22.60) | 1,612 (22.05) | 1,803 (21.80) |
| RSV infectionc | 12,195 (0.75) | 11,745 (0.64) | 12,611 (0.67) | 13,964 (0.75) |
| Acute LRTI | 29,676 (1.81) | 28,706 (1.55) | 30,632 (1.64) | 32,955 (1.77) |
Abbreviations: ICD–10, 10th revised edition of the International Classification of Diseases; LRTI, lower respiratory tract infection; NICU, neonatal intensive care unit; RSV, respiratory syncytial virus.
aDepending on birthdate, a newborn may be at risk in one to three consecutive bronchiolitis seasons. For instance, an infant born in March 1, 2010 was at risk in the 2009–2010 season (age category: RSV season end), 2010–2011 season (age category: 7–12 months), and 2011–2012 season (age category: 19–24 months).
bProcedure was coded using the French Classification of Medical Procedures.
cOf 50,515 RSV infections, 48,632 (96·3%) were recorded as bronchiolitis due to RSV
Data are expressed as n (%).
Similar seasonal trends were found when strengthening the definition of bronchiolitis to severe bronchiolitis or RSV infection (mostly (96.3%) recorded as bronchiolitis due to RSV). A seasonal peak was observed in 2009–2010 when broadening the definition of bronchiolitis to all 121,969 admissions for acute LRTI.
Risk factors for bronchiolitis hospitalization
All potential risk factors were associated with the risk for bronchiolitis hospitalization by season (S2 Table) and integrated along season into the multivariate analysis (Table 3).
Table 3. Risk factors of hospital admission for bronchiolitis–multivariate analyses of 99,494 hospital admissions for bronchiolitis (N = 7,211,571).
| Variables | OR (95%CI) | P-value |
|---|---|---|
| Bronchiolitis seasons (ref: 2011–2012): | ||
| 2009–2010 | 0.96 (0.94–0.98) | < .0001 |
| 2010–2011 | 0.90 (0.88–0.92) | < .0001 |
| 2012–2013 | 1.08 (1.06–1.10) | < .0001 |
| Characteristics of the infant and delivery: | ||
| Male sex | 1.27 (1.25–1.29) | < .0001 |
| Multiple birth | 1.24 (1.18–1.29) | < .0001 |
| Gestational age (ref: ≥37 GA): | ||
| Extremely preterm (22–27 GA) | 2.60 (2.32–2.92) | < .0001 |
| Very preterm (28–32 GA) | 3.11 (2.96–3.27) | < .0001 |
| Moderate preterm (33–36 GA) | 1.96 (1.91–2.01) | < .0001 |
| Growth restriction: | ||
| Intrauterine growth restriction | 1.32 (1.22–1.44) | < .0001 |
| Very small for GA (birth weight <5%) | 1.14 (1.11–1.18) | < .0001 |
| Small for GA (birth weight: 5–10%) | 1.06 (1.03–1.09) | < .001 |
| Time elapsed from neonatal discharge to October1 (ref:7–12 months): | ||
| 19–24 months (19–21 in 2009–2010) | 0.19 (0.18–0.20) | < .0001 |
| 13–18 months | 0.42 (0.40–0.43) | < .0001 |
| 3–6 months (April–June) | 2.27 (2.21–2.34) | < .0001 |
| 1–3 months (July–September) | 4.35 (4.24–4.46) | < .0001 |
| RSV season onset (October–December) | 6.59 (6.44–6.75) | < .0001 |
| RSV season end (January–March) | 1.43 (1.38–1.47) | < .0001 |
| Discharge from NICU (October–December) | 1.16 (1.11–1.22) | < .0001 |
| History of severe respiratory infection: | ||
| Bronchiolitis | 4.05 (3.88–4.23) | < .0001 |
| Other LRTI | 2.57 (2.35–2.82) | < .0001 |
| Underlying medical disorders: | ||
| Bronchopulmonary dysplasiaa | 1.35 (1.23–1.48) | < .0001 |
| Congenital heart diseaseb | ||
| Hemodynamically significant CHD (surgery) | 3.37 (3.08–3.69) | < .0001 |
| Hemodynamically non-significant CHD | 2.10 (1.98–2.22) | < .0001 |
| Other underlying medical disordersa | ||
| Pulmonary hypertension | 2.55 (2.01–3.24) | < .0001 |
| Congenital lung disease and/or bronchial abnormalities | 3.30 (2.68–4.06) | < .0001 |
| Congenital tracheoesophageal fistula | 3.00 (2.40–3.74) | < .0001 |
| Cystic fibrosis | 1.99 (1.55–2.56) | < .0001 |
| Cardiovascular disease occurring during the perinatal period without CHD identified in the follow-up | 1.36 (1.27–1.45) | < .0001 |
| Cardiomyopathy | 3.38 (2.47–4.62) | < .0001 |
| Diaphragmatic hernia | 3.06 (2.26–4.13) | < .0001 |
| Omphalocele | 1.05 (0.68–1.62) | .83 |
| Muscular dystrophy | 4.35 (3.15–6.01) | < .0001 |
| Congenital abnormalities of the nervous system | 1.59 (1.29–1.97) | < .0001 |
| Cleft palate | 1.46 (1.25–1.71) | <·0001 |
| Down syndrome | 3.29 (2.88–3.76) | < .0001 |
| Other chromosomal abnormalities | 2.29 (1.92–2.73) | < .0001 |
| HIV infection | 1.89 (1.09–3.29) | .023 |
| Solid organ transplant | 9.76 (4.11–23.15) | < .0001 |
| Stem cell transplant | 5.83 (3.00–11.33) | < .0001 |
| Maternal disorders during pregnancy: | ||
| Maternal smoking | 1.42 (1.36–1.47) | < .0001 |
| Cardiovascular and respiratory diseases | 1.27 (1.03–1.57) | .023 |
| Diabetes mellitus | 1.10 (1.05–1.14) | < .0001 |
Abbreviations: CI, confidence interval; CHD, congenital heart disease; ICD–10, 10th revised edition of the International Classification of Diseases; LRTI, lower respiratory tract infection; NICU, neonatal intensive care unit; OR, odds ratio; RSV, respiratory syncytial virus.
aICD–10 codes were identified by hospital records.
bCHD was identified according to the criteria from the Anatomic and Clinical Classification of Congenital Heart Disease and corresponding to validated ICD–10 codes [17] Cardiac surgery was identified as hemodynamically significant CHD.
Multivariate logistic regression models were developed using Generalized Estimating Equations (GEE) with exchangeable correlation structure. Odds ratios were adjusted for were adjusted for all covariates as well as region of maternity wards and environmental risk factors.
All risk factors except omphalocele were independent risk factors for hospital admission for bronchiolitis. Boys had a 27% increased risk of admission for bronchiolitis compared with girls. Multiple birth, lower GA, a lower birth weight for GA, and birth during or close to the onset of the bronchiolitis season were associated with an increased risk of admission for bronchiolitis. Tobacco exposure during pregnancy, but also maternal cardiovascular and respiratory diseases, and maternal diabetes mellitus were associated with an increased risk of bronchiolitis hospitalization. A history of bronchiolitis and/or LRTI was associated with an increased risk of bronchiolitis hospitalization.
Regarding chronic conditions under study, an increased risk of hospitalization for bronchiolitis was observed for (by decreasing order of adjusted OR): solid organ and stem cell transplants, muscular dystrophy, cardiomyopathy, HS-CHD, congenital lung disease and/or bronchial abnormalities, Down syndrome, diaphragmatic hernia, congenital tracheoesophageal fistula, pulmonary hypertension, chromosomal abnormalities other than Down syndrome, hemodynamically non-significant CHD, cystic fibrosis, HIV infection, congenital abnormalities of the nervous system, cleft palate, cardiovascular disease occurring during the perinatal period, and BPD (Table 3). Fig 2 displays number of cases with underlying medical disorders at risk per season (panel A) and related adjusted OR depending on case definition (panel B).
Fig 2.
Panel A: Number of cases with underlying medical disorders per season- Panel B: Underlying medical disorders as risk factors of hospital admission for bronchiolitis, severe bronchiolitis, RSV infection and acute LRTI (respective OR). Abbreviations: CHD: congenital heart disease; HS: hemodynamically significant; LRTI: lower respiratory tract infection; NS: nervous system (1) Congenital lung disease and/or bronchial abnormalities (2) Other than Down syndrome.
All associations with bronchiolitis were also found when sensitivity analyses were performed on case definition using hospitalization risk for severe bronchiolitis, RSV infection, and acute LRTI (Fig 2, panel B and S3 Table). The strength of the association with age at season onset decreased significantly with a broadened definition from RSV infection to acute LRTI. Conversely, the strength of the association of extremely preterm, BPD, and HS–CHD increased significantly with a broadened definition of bronchiolitis. Finally, all associations with bronchiolitis were also found when infants and children were selected at first bronchiolitis season exposure (S4 Table).
Discussion
This study is the first assessing the hospitalization rates for bronchiolitis in a recent, large, nationwide cohort of all newborns and infants <2 years of age at risk over four bronchiolitis seasons. Our results show that hospitalization rates range between 1 and 1.5% (from 1.26% to 1.48%), but are significantly higher in infants with well-known risk factors such as prematurity, BPD, and HS–CHD, and those with a large range of underlying medical disorders. The risk assessment of these various medical disorders in a nationwide study represents one of the major interests of our study, in particular, with regard to treatment strategies.
The present study identifies a large range of medical disorders that are independent risk factors for bronchiolitis hospitalization (Table 3). Besides BPD and HS–CHD, these disorders comprise other cardiothoracic diseases, congenital malformations, neuromuscular diseases, chromosomal abnormalities, HIV infection, and solid organ or stem cell transplants. Although the frequency of each disorder is low, the total number of affected infants is about six-fold that of BPD and HS–CHD at each season onset (Table 1). Moreover, in most cases, the ORs for bronchiolitis hospitalization in these diseases exceed those for BPD (Table 3).
Pulmonary hypertension, congenital lung disease and/or bronchial abnormalities, and congenital tracheoesophageal fistula are conditions that are associated with a high respiratory morbidity at any age. It is thus easily understandable that these conditions are associated with an increased risk of bronchiolitis hospitalization. These infants have a reduced respiratory reserve, which explains the increased risk of hypoxemia in case of respiratory injury or aggression. RSV mortality has been noted to be higher in infants with cyanotic cardiac lesions and pulmonary hypertension than in healthy peers [21]. In pulmonary hypertension, relatively unoxygenated blood bypasses the lung and enters the systemic circulation [21]. Thus, hypoxia is already present in infants with cyanotic heart defects and/or pulmonary hypertension before RSV infection [21]. As a result, these infants are likely to have hypoxia during acute LRTI. Cystic fibrosis has been found to be a significant risk factor for RSV infection hospitalization in numerous studies [9,16]. We have recently shown that infants with congenital diaphragmatic hernia repair present diaphragmatic weakness and dysfunction during the first 2 years of life, which normalizes by 5 to 6 years of age [22]. This respiratory muscle dysfunction underlies the respiratory vulnerability of these infants during the first 2 years of life. Conversely, omphalocele was not identified as a risk factor for bronchiolitis hospitalization. Differences in the abdominal size defect and the consequent neonatal respiratory morbidity may explain why this diagnosis did not emerge as a risk factor in the present study.
Respiratory muscles are rarely spared in neuromuscular diseases. Respiratory muscle weakness and/or dysfunction may explain the increased risk of respiratory failure during acute LRTI in infants with neuromuscular disorders. Muscular dystrophy was indeed associated with a four–fold increased risk for bronchiolitis hospitalization (Table 3).
Congenital malformations of the nervous system were also associated with an increased risk for bronchiolitis hospitalization. Similar findings have been observed in other studies [9,16]. In a nationwide study in Denmark, encephalocele, spina bifida, and malformations of the spinal cord, as well as cerebral palsy, were identified as risk factors for RSV infection hospitalization [16]. Despite the fact that these diseases do not directly affect the cardiorespiratory system, ineffective cough and breathing, sleep-disordered breathing, and false passages may predispose these infants to an increased risk of bronchiolitis hospitalization.
Numerous worldwide studies have demonstrated that infants with Down syndrome are at increased risk of severe bronchiolitis and resultant morbidity, independent of concomitant CHD [9]. Infants with Down syndrome are predisposed to upper airway obstruction and obstructive sleep apnea due to altered craniofacial anatomy with midfacial and mandibular hypoplasia, glossoptosis with relative macroglossia, frequent adenotonsillar hypertrophy, muscle hypotonia with an increased prevalence of pharyngo-laryngomalacia, and subglottic and/or tracheal stenosis [23]. These anatomical predisposing factors for obstructive sleep apnea are aggravated by obesity, hypothyroidism, and gastroesophageal reflux disease [23]. Infections are associated with an increased morbidity due to immune dysfunction. All these factors explain why Down syndrome was associated with a three-fold increased risk for bronchiolitis hospitalization (Table 3).
Any type of congenital or acquired immunodepression has been shown to be associated with an increased risk for bronchiolitis hospitalization. In our study, infants with solid organ transplant or stem cell transplant had the highest OR for bronchiolitis hospitalization (Table 3). Improvements in the treatment of HIV infection may explain why this condition is a less serious risk factor for bronchiolitis hospitalization.
Regarding the conditions discussed previously, recurrent or prolonged hospital visits expose these infants to a nosocomial risk of microbiologic infection, in particular, bronchiolitis, during the winter season. This may explain, in part, the increased risk of bronchiolitis hospitalization in infants with disorders that do not affect the cardiorespiratory or immune system, such as malformations of the urinary system or the gastrointestinal tract [16]. The risk of RSV infection is a major argument for restricting hospital visits during the bronchiolitis season in these vulnerable infants.
Overall, bronchiolitis hospitalization rates found in this nationwide study in France were comparable to those observed in other West European countries [24] as well as some well-recognized risk factors for bronchiolitis hospitalization, such as male sex, multiple birth, prematurity, growth restriction, maternal smoking, and age at the onset of the RSV season [5,25,26]. BPD and HS–CHD, representing about 0.20 and 0.17% of the total population exposed each season, respectively, were also confirmed as significant risk factors for bronchiolitis hospitalization, supporting the validity of preventive strategies [6,7,27–29].
Our study has both strengths and limitations. The study is based on a nationwide sample of hospital births retrieved from the French National Hospital Discharge database, representing more than 95% of all births in France from 2008–2013 [10]. However, because of left-truncation of hospital discharge data, we could not identify hospital births before January 1, 2008, and therefore children aged 22 to 24 months at risk during the season 2009–2010. These children should represent less than 10% of all infants (Table 1) and had the lowest adjusted risk of hospitalization for bronchiolitis (Table 3) suggesting that the raw hospitalization rate for bronchiolitis may be overestimated during the season of 2009–2010 (Table 2). Also, risk factors and outcomes were identified from administrative records and may have introduced misclassification bias. Several validation studies conducted in teaching hospitals suggest that risk factors and bronchiolitis hospitalizations are correctly recorded in the French Hospital Discharge database [12,19,20]. At the national level, we identified several administrative recording problems for perinatal care that concerned a minority of hospitals and greatly improved over the study period: multiple births with the same anonymous identifier (0.79%), missing data on birth weight (0.31%), or GA (11.9%). In the main analysis, multiple births with the same anonymous identifier and infants with missing birth weight were excluded (Fig 1), and GA was imputed for missing data. Similar results were found in a complete-case analysis after excluding infants with missing data on GA. Regarding outcomes, RSV testing is not recommended in routine practice in France as in other high-income countries [19,30,31]. Reassuringly, we found that all associations with bronchiolitis hospitalization were similarly identified in sensitivity analyses with case definitions that were either more specific (severe bronchiolitis or RSV infection) or were more sensitive (acute LRTI). Moreover, our results are globally comparable to those of the nation-wide study of RSV-hospitalization in Denmark. Interestingly, we found that the influenza pandemic (H1N1) was associated with an increased risk of hospital admission in 2009–2010 for acute LRTI that did not affect other risk factors. Also, a history of bronchiolitis was strongly associated with the risk for bronchiolitis hospitalization suggesting an individual susceptibility to bronchiolitis. Finally, this is a retrospective cohort study and causation cannot be claimed.
Conclusions
This large nationwide study confirms a list of eighteen chronic conditions that are independent risk factors for bronchiolitis hospitalization and represent approximately 2.0% of live-borns. Recognition of these disorders besides prematurity, BPD, and HS–CHD as priority targets for preventative and curative treatment strategies is warranted. Indeed, preventative and curative therapeutic options are becoming available for RSV infection and bronchiolitis. Within a global health perspective, information on updated risk factors and susceptible populations is necessary for an optimal use of new resources.
Supporting information
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Acknowledgments
The authors acknowledge the contribution of Sylvain Baillot, MSc, of Translational Health Economics (THEN). They would like to thank the French Scientific and Medical Information AbbVie Team for the literature search and Brigitte Bourdillat, PhD, for support in writing the manuscript.
Abbreviations
- BPD
bronchopulmonary dysplasia
- CHD
congenital heart disease
- CI
confidence interval
- GA
gestational age
- GEE
generalized Estimating Equations
- HS-CHD
hemodynamically significant congenital heart disease
- ICD
international Classification of Diseases
- LRTI
low respiratory tract infection
- NCIU
neonatal intensive care unit
- OR
odds ratios
- PMSI
Programme de Médicalisation des Systèmes d’Information
- RSV
respiratory syncytial virus
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
The present study was supported by AbbVie France. Translational Health Economics (THEN) was responsible for data collection, preparation, and validation with external sources of information. THEN received payment from AbbVie for these activities. Writing charges were funded by AbbVie France, and AbbVie approved the decision to submit the paper for publication, but the corresponding author was ultimately responsible for submitting the manuscript for publication. The sponsor had no additional role in study design, collection, analysis, and interpretation of data.
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Data Availability Statement
All relevant data are within the manuscript and its Supporting Information files.