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. 2020 May 5;15(5):e0231782. doi: 10.1371/journal.pone.0231782

Differential asthma odds following respiratory infection in children from three minority populations

Eric M Wohlford 1, Luisa N Borrell 2,*, Jennifer R Elhawary 1, Brian Plotkin 1, Sam S Oh 1, Thomas J Nuckton 1, Celeste Eng 1, Sandra Salazar 1, Michael A LeNoir 3, Kelley Meade 4, Harold J Farber 5, Denise Serebrisky 6, Emerita Brigino-Buenaventura 7, William Rodriguez-Cintron 8, Rajesh Kumar 9, Shannon Thyne 10, Max A Seibold 11, José R Rodríguez-Santana 12, Esteban G Burchard 1,13
Editor: Sreekumar Othumpangat14
PMCID: PMC7199930  PMID: 32369487

Abstract

Rationale

Severe early-life respiratory illnesses, particularly those caused by respiratory syncytial virus (RSV) and human rhinovirus (HRV), are strongly associated with the development of asthma in children. Puerto Rican children in particular have a strikingly high asthma burden. However, prior studies of the potential associations between early-life respiratory illnesses and asthma in Puerto Rican and other minority populations have been limited.

Objectives

We sought to determine whether early-life respiratory illness was associated with asthma in Puerto Rican, Mexican American, and African American children.

Methods

Using a logistic regression analysis, we examined the association between early-life respiratory illnesses (report of upper respiratory infection (URI), pneumonia, bronchitis, and bronchiolitis/RSV) within the first two years of life and physician-diagnosed asthma after the age of two in a large cohort of Puerto Rican, Mexican American, and African American children.

Measurements and main results

While early-life respiratory illnesses were associated with greater asthma odds in Puerto Ricans, Mexican Americans, and African Americans, these associations were stronger among Puerto Rican children. Specifically, in Puerto Ricans, the odds was 6.15 (95% CI: 4.21–9.05) if the child reported at least one of the following respiratory illness: URI, pneumonia, bronchitis or bronchiolitis. The odds were also higher in Puerto Ricans when considering these conditions separately.

Conclusions

We observed population-specific associations between early-life respiratory illnesses and asthma, which were especially significant and stronger in Puerto Ricans. Taken together with the known high burden of RSV in Puerto Rico, our results may help explain the high burden of asthma in Puerto Ricans.

Introduction

Asthma is the most common chronic disease in children [1, 2], with genetic, environmental, and infectious risk factors. [35] Though the global burden of asthma is increasing, certain racial/ethnic and geographic populations are at especially high risk. Puerto Ricans are among the most severely affected populations in the world. [4] Approximately 36.5% of Puerto Ricans report they currently or previously had asthma, compared to 9.4% of African Americans, 7.6% of non-Hispanic whites, and 7.5% of Mexican Americans. [6, 7] These striking differences extend to asthma morbidity and mortality, which are 2.4- and 4-fold higher in Puerto Ricans compared to whites, respectively. [6, 7] Asthma is a complex disease and often presents as a function of genetic, environmental, and socio-cultural risk factors. [813] Yet asthma, and more specifically asthma disparities, are still not well understood. We propose to examine a single, but significant, facet of asthma that may explain differences in asthma prevalence across minority populations: early-life respiratory illnesses.

Several epidemiological studies have established a strong association between the development of childhood asthma or recurrent wheeze with exposure to severe, early-life respiratory illnesses across populations. [1424] Associations with asthma were strongest for infections caused by respiratory syncytial virus (RSV) [14, 17, 2024] and human rhinovirus (HRV), leading to a 2.6 and 9.8 fold probability of asthma, respectively. [1820] Before one year of age, persistent wheezing illness is most commonly caused by RSV, which later changes to HRV in older children. [25] Both RSV and HRV are known to cause bronchiolitis, which can be a severe respiratory infection in children and is linked to later asthma development. [22, 26] These viruses have a complex interaction between genetics and environmental exposures in determining risks for asthma and related outcomes. [27, 28] Additionally, Puerto Rico has an RSV season that is year-round whereas the mainland United States only reports a 20-week season (Fig 1). [29, 30]

Fig 1. Respiratory syncytial virus (RSV) season in Puerto Rico (red) and the mainland United States (blue).

Fig 1

RSV season begins when 10% or more of RSV tests are positive. Data shown are a simplified representation of the data obtained from McGuinness et al. Pediatr Infect Dis J. 2014. [29]

It is unclear at this time if differential responses to early-life respiratory illnesses contribute to the striking asthma disparities seen across minority populations. It is possible that genetic predisposition, environmental influences, and early-life respiratory illness work together to increase asthma susceptibility in high-risk populations. Our aim was to investigate the association of early-life respiratory illnesses with asthma susceptibility seen in our large and well-phenotyped cohort of minority children. In light of disparate disease prevalence, [6, 29, 30] we examined this association in each population (Puerto Ricans, African Americans and Mexican Americans), separately and combined. We hypothesize that differences in the prevalence of clinically diagnosed early-life respiratory infections such as upper respiratory infections (URI), pneumonia, bronchitis, and bronchiolitis across populations may be associated with asthma prevalence and further these associations may vary across these three minority population.

Methods

Study population

The study included participants recruited through two studies: the Genes-Environments and Admixture in Latino Americans (GALA II) study and the Study of African Americans, Asthma, Genes and Environments (SAGE), described in detail elsewhere. [10, 13, 31] Briefly, GALA II and SAGE are parallel case-control studies of asthma conducted between 2006 to 2014 in Latino (Mexican American and Puerto Rican) and African American children aged 8–21, respectively. SAGE participants were recruited from the San Francisco Bay Area and GALA II participants were recruited from across the continental United States (Chicago, Houston, New York City, and the San Francisco Bay Area) and Puerto Rico. Questionnaires were administered to adult participants and parents of minors. All participants provided written consent to being in the study. Consent was obtained from all adult participants and parent/legal guardians of minor participants. The study protocols for both GALA II and SAGE were approved by the UCSF Human Research Protection Program Institutional Review Board (IRB) and all institutions participating in recruitment obtained the appropriate approvals from their IRBs for recruitment related activity.

Out of a total of 6,023, participants with asthma onset prior to the age of two (n = 1,450) and those individuals without complete illness and covariate data (n = 2,301) were excluded from the study. Those diagnosed with asthma before age two were initially excluded from analysis to better delineate any causal association between early-life respiratory illness before age two and subsequent diagnosis of asthma. The exclusion criteria yielded an analytical sample of 2,824 subjects, including both cases (n = 1,091) and controls (n = 1,733).

Outcomes

The outcome of our study was physician diagnosed asthma diagnosed after the age of two reported by the parent. [31] Eligible control subjects had no reported history of asthma, lung disease, or chronic illness, and no reported symptoms of coughing, wheezing, or shortness of breath in the two years before enrollment.

Exposure

The exposure was parental report of physician diagnosed early-life respiratory illnesses within the first two years of life. Early-life respiratory illnesses included URI, pneumonia, bronchitis, and bronchiolitis/RSV, which were analyzed separately. In addition, the report of at least one of the four previous illnesses was used to categorize children with “any respiratory illness” and none otherwise. As this was a retrospective study, we could not rely on pathogen identification as a means to confirm the viral species present during the illness.

Covariates

Consistent with previous studies, [32, 33] we considered factors known to be associated with early-life respiratory illnesses and with asthma. These included sex, underweight at birth (yes/no), maternal smoking during pregnancy (yes/no), whether the subject was breastfed (yes/no), number of older siblings (none, one, two or more), socioeconomic status (SES; low, medium, high; described further in S1 Text), and recruitment site. However, recruitment site was not included in the African American models because all the participants were recruited from one site only.

Statistical analysis

Descriptive statistics were calculated for the overall study population and for each minority population separately. We used logistic regression to quantify the association between physician-diagnosed asthma and self-reported respiratory illnesses in the first two years of life in all three populations (Puerto Ricans, Mexican Americans, and African Americans) combined. In addition to sex, underweight at birth, maternal smoking during pregnancy, breastfeeding, number of older siblings, SES and recruitment site, we adjusted for the underlying substructure of populations in the dataset using global African and European ancestry estimates (described further in S2 Text) as a proxy. Because race/ethnicity may act as an effect modifier due to the large differences in asthma prevalence, [6, 7] we estimated this association stratified by race/ethnicity. Significance for main effects was determined at p < 0.05. The statistical programming language R version 3.5.1 was used to perform all analyses.

Data availability

Biological, environmental and phenotypic data analyzed in the current study are available in the dbGAP repository (study accession numbers: SAGE phs00921.v1.p1, GALA II phs001180.v1.p1). Psychosocial data analyzed in the current study (experience of discrimination and socioeconomic status) are not publicly available due to the sensitive nature of the data and privacy concerns for study participants. Psychosocial data is currently stored in the UCSF Box repository and is available upon reasonable request at asthma.collaboratory@ucsf.edu.

Results

Descriptive characteristics of our final study population are presented in Table 1. When compared with children without asthma, those with asthma were more likely to be male, to have a mother who smoked during pregnancy, and have lower SES. These distributions were observed in our sample regardless of race/ethnicity with a few exceptions. For instance, while Puerto Rican and Mexican American children without asthma were more likely to be breastfed than their counterparts with asthma, the opposite was true for African Americans. Additionally, we found that Puerto Ricans were 4- to 9-fold more likely to report an RSV infection or bronchiolitis in the first two years of life than Mexican Americans and African Americans, respectively (Fig 2).

Table 1. Descriptive statistics for selected characteristics for GALA II and SAGE participants: 2006–2014.

Puerto Rican Mexican American African American Total Population
Case Control Case Control Case Control Case Control
N % N % N % N % N % N % N % N %
Number of subjects 284 100 783 100 375 100 504 100 432 100 446 100 1091 100 1733 100
Males 150 52.8 361 46.1 212 56.5 210 41.7 218 50.5 187 41.9 580 53.2 758 43.7
Underweight at birth 32 11.3 61 7.8 24 6.4 35 6.9 36 8.3 45 10.1 92 8.4 141 8.1
In-utero smoke exposure 14 4.9 40 5.1 14 3.7 9 1.8 78 18.1 54 12.1 106 9.7 103 5.9
Breastfed 141 49.6 432 55.2 285 76 401 79.6 262 60.6 244 54.7 688 63.1 1077 62.1
Number of older siblings
0 74 26.1 200 25.5 132 35.2 195 38.7 247 57.2 208 46.6 453 41.5 603 34.8
1 92 32.4 274 35 138 36.8 176 34.9 101 23.4 132 29.6 331 30.3 582 33.6
2 or more 118 41.5 309 39.5 105 28 133 26.4 84 19.4 106 23.8 307 28.1 548 31.6
Socioeconomic status*
High 89 31.3 271 34.6 114 30.4 116 23 163 37.7 160 35.9 366 33.5 547 31.6
Medium 51 18 136 17.4 79 21.1 84 16.7 113 26.2 137 30.7 243 22.3 357 20.6
Low 144 50.7 376 48 182 48.5 304 60.3 156 36.1 149 33.4 482 44.2 829 47.8
Recruitment site
Chicago 18 6.3 23 2.9 137 36.5 180 35.7 - - - - 155 14.2 203 11.7
Houston 1 0.4 - - 96 25.6 91 18.1 - - - - 97 8.9 91 5.3
New York 27 9.5 34 4.3 20 5.3 64 12.7 - - - - 47 4.3 98 5.7
San Francisco Bay Area 1 0.4 1 0.1 122 32.5 169 33.5 432 100 446 100 555 50.9 616 35.5
Puerto Rico 237 83.5 725 92.6 - - - - - - - - 237 21.7 725 41.8
URI 57 20.1 35 4.5 24 6.4 27 5.4 67 15.5 16 3.6 148 13.6 78 4.5
Pneumonia 13 4.6 5 0.6 20 5.3 11 2.2 24 5.6 14 3.1 57 5.2 30 1.7
Bronchitis 36 12.7 10 1.3 37 9.9 10 2 16 3.7 6 1.3 89 8.2 26 1.5
Bronchiolitis/RSV 31 10.9 14 1.8 6 1.6 4 0.8 6 1.4 2 0.4 43 3.9 20 1.2
Any Listed 89 31.3 54 6.9 75 20 46 9.1 98 22.7 31 7 262 24 131 7.6

*Socioeconomic status was derived from a combination of mother’s education level, health insurance status, and household income weighted by region, see S1 Text for more information.

Fig 2. Population-specific proportions of selected respiratory illnesses during the first 2 years of life for our study population.

Fig 2

In our total population, we observed that the odds of asthma was 4.31 (95% CI: 3.15–5.96) for URI, 2.66 (95% CI: 1.67–4.30) for pneumonia, 7.04 (95% CI: 4.44–11.60) for bronchitis, 5.82 (95% CI: 3.26–10.80) for bronchiolitis/RSV, and 4.50 (95% CI: 3.52–5.78) if the participant reported having at least one early-life respiratory illness (Table 2 and Fig 3). In the population-specific stratified analyses, we also observed that the odds of asthma in Puerto Ricans was 5.25 (95% CI: 3.34–8.37) for URI, 7.23 (95% CI: 2.66–23.0) for pneumonia, 13.0 (95% CI: 6.51–28.20) for bronchitis, 7.27 (95% CI: 3.83–14.50) for bronchiolitis/RSV, and 6.15 (95% CI: 4.21–9.05) if the participant reported having at least one early-life respiratory illness (Table 2 and Fig 3). Similarly, and with few exceptions, we observed significant associations between early-life respiratory illness and asthma in Mexican American and in African American children. However, these associations were smaller in magnitude than the ones observed among Puerto Ricans. Specifically, the odds of asthma in Mexican Americans and African Americans, respectively, were 2.17 (95% CI: 1.12–4.24) and 4.77 (95% CI: 2.76–8.71) for URI, 2.05 (95% CI: 0.96–4.61) and 1.90 (95% CI: 0.97–3.86) for pneumonia, 4.78 (95% CI: 2.39–10.40) and 2.70 (95% CI: 1.08–7.71) for bronchitis, 2.01 (95% CI: 0.55–8.15) and 2.90 (95% CI: 0.64–20.40) for bronchiolitis/RSV, and 3.07 (95% CI: 1.99–4.79) and 3.91 (95% CI: 2.55–6.12) if the participant reported having at least one early-life respiratory illness (Table 2 and Fig 3).

Table 2. Adjusted* odds ratios and confidence intervals for the association analysis between respiratory illnesses in the first two years of life and physician-diagnosed asthma after the age of two according to race/ethnicity and in the total population in GALA II and SAGE: 2006–2014.

Puerto Rican (n = 1,067) Mexican American (n = 879) African American (n = 878) Total Population (n = 2,824)
URI 5.25 (3.34–8.37) 2.17 (1.12–4.24) 4.77 (2.76–8.71) 4.31 (3.15–5.96)
Pneumonia 7.23 (2.66–23.0) 2.05 (0.96–4.61) 1.90 (0.97–3.86) 2.66 (1.67–4.30)
Bronchitis 13.0 (6.51–28.20) 4.78 (2.39–10.40) 2.70 (1.08–7.71) 7.04 (4.44–11.60)
Bronchiolitis/RSV 7.27 (3.83–14.50) 2.01 (0.55–8.15) 2.90 (0.64–20.40) 5.82 (3.26–10.80)
Any Listed 6.15 (4.21–9.05) 3.07 (1.99–4.79) 3.91 (2.55–6.12) 4.50 (3.52–5.78)

*Adjusted for sex, underweight at birth, maternal smoking during pregnancy, breastfeeding, number of older siblings, SES, recruitment site and global ancestry. Recruitment site was not included in the African American models as they were recruited from one site only.

Fig 3. Odds ratios plotted on a log scale of the association between early-life respiratory illnesses before the age of two and asthma diagnosis after the age of two according to race/ethnicity and in the total population.

Fig 3

To test statistically significant differences in odds ratios between racial/ethnic groups, we compared the beta coefficients using t-tests. [34] We found that there were significant differences (p < 0.05) between Puerto Ricans and Mexican Americans for URI and Any Listed, and between Puerto Ricans and African Americans for bronchitis and pneumonia (S1 Table).

In a separate analysis, we examined these associations including those individuals diagnosed with asthma before the age of two (S2 Table). Our results showed that all early-life respiratory illnesses were significantly associated (p < 0.05) with asthma diagnosis in our population and regardless of race/ethnicity, with the exception of RSV in Mexican Americans (S3 Table). It is worth noting that we observed significantly higher odds of asthma in Puerto Ricans than in Mexican Americans for every respiratory infection examined (S4 Table).

We additionally compared the odds of asthma after an early-life respiratory illness in Puerto Ricans living in Puerto Rico (Islanders) with those living in the mainland United States (Mainlanders); descriptive characteristics for these populations can be found in S5 Table. We found high asthma odds following early-life respiratory illness in Islanders relative to Mainlanders (S6 Table) though due to the small number of Mainlanders we were underpowered to detect statistically significant differences between these groups.

Discussion

Overall, we found that early-life respiratory illnesses such as URI, pneumonia, bronchitis, and bronchiolitis/RSV are significantly associated with asthma diagnosis after the age of two regardless of race/ethnicity. However, Puerto Ricans had the strongest associations.

The association between early-life respiratory illnesses and asthma has been well documented. [1424] Yet, little is known about racial/ethnic differences observed for the associations between early-life respiratory illnesses and the development of asthma later on in childhood.

Previous research on the association between early-life respiratory infection and the development of asthma has yielded conflicting results. Having a wheezing illness due to RSV or HRV infection in early life has previously shown to be associated with a 2.6- and 9.8-fold increase, respectively, in asthma odds by age six in a mostly white population. [18] Additionally, a recent study found that the severity of the RSV infection was strongly associated with childhood wheezing at age five in a mostly white population. [17] However, the vast majority of children infected by respiratory viruses like RSV do not go on to develop respiratory illnesses like recurrent wheezing and asthma. [33] Currently, it is unclear why only a minority of children develop asthma after exposure to an early-life respiratory illness. One plausible explanation is that these respiratory illnesses alter the airway in early life, which leads to asthma later on in childhood. In fact, previous studies have shown that in adults with asthma, the airway epithelium is altered in a heterogeneous manner. [35] Another possibility is that children who are already genetically or environmentally prone to asthma present with early-life respiratory illness as an early manifestation of asthma. Indeed, previous studies have shown asymptomatic carriage of RSV and rhinovirus in children, [3638] suggesting a spectrum of disease which may be affected by underlying asthma predisposition. [39, 40] Our findings show greater asthma odds associated with early-life respiratory illnesses in all populations studied, but that the odds was stronger in the Puerto Rican population. These findings are consistent with previous studies [4042] showing that early-life respiratory illnesses are significantly associated with the development of asthma and asthma-related outcomes while additionally adding that these associations may vary by region and/or population.

Most children who develop respiratory viral infections in early life experience minor illness, but some develop much more severe illnesses that involve lower respiratory symptoms like wheezing. [15, 16, 36] These more severe wheezing illnesses at an early stage in life are associated with a high risk for recurrent wheezing and asthma later in childhood, [18, 19] particularly if these wheezing illnesses were caused by RSV or HRV. [14, 17, 2124] Puerto Rican children are especially at risk due to the year-round seasonality of RSV infections. [29, 30] In fact, 1,406 cases of bronchiolitis/RSV were reported in children with a mean age of seven months from six Puerto Rican hospitals over a period of nine months. [39] Our findings showed that not only is the prevalence of bronchiolitis/RSV infection highest in Puerto Rican children in our study population, but that the odds for asthma among children who have experienced a bronchiolitis/RSV infection in early life was the highest for Puerto Rican Islanders. These observations suggest that the burden of childhood asthma after bronchiolitis/RSV is particularly high Puerto Rican children. While it is known that early-life respiratory infections are associated with asthma, our findings show racial/ethnic disparities for the odds of asthma post-infection in our population, with Puerto Rican children carrying the greater burden of asthma.

In our study of children diagnosed with asthma after two years of age, some confidence intervals were too wide to make definitive conclusions regarding the odds ratios for asthma after infection in different racial/ethnic groups. However, when we included those children diagnosed with asthma before two years of age, we were able to better delineate the association between different respiratory infections and asthma development across racial/ethnic groups. Interestingly Puerto Ricans and Mexican Americans are both considered Hispanic/Latino for pulmonary function testing and other health outcomes. However, these populations had widely divergent prevalence of asthma after early-life respiratory infections. Puerto Ricans consistently had higher odds of asthma after all respiratory infections studied. Whether the observed association between early-life respiratory infection and greater asthma odds is causal of the alarmingly high prevalence of asthma in Puerto Ricans requires further study.

While we are not able to draw definitive conclusions about the greater odds of asthma after respiratory infection in Puerto Rican Islanders versus Mainlanders due to the limited number of mainland US Puerto Rican children studied, we find it interesting that Mainlander Puerto Ricans tended to have a lower odds of asthma after respiratory infections relative to Islanders. This may suggest an environmental effect associated with living in Puerto Rico that affects the prevalence of asthma. Respiratory infections likely represent one of several factors leading to increased asthma in Islander Puerto Ricans relative to Mainlanders, which may include other environmental and socio-cultural factors. Further studies examining this associations in Puerto Ricans living in the island and in the mainland US can help clarify this observation.

Our study may have been limited because the majority (71%) of Puerto Ricans in the GALA study were diagnosed with asthma before the age of two. In contrast, only 35% of Mexican Americans, and 50% of African Americans were diagnosed with asthma before two years old. Our secondary analysis including children diagnosed with asthma before two years of age addressed these differences. Additionally, our exposure measurements were determined retrospectively, which may introduce biases in the data. Specifically, recall bias may affect the accuracy of answers to questions about events in the distant past. However, if bias were to occur, this bias will be non-differential and affect all racial/ethnic groups studied, biasing the results towards the null. This study was underpowered to detect any significant associations of early-life respiratory illnesses on asthma in Puerto Rican Mainlanders versus Puerto Rican Islanders. Thus, we were not able to determine whether the year-round RSV prevalence in Puerto Rico influenced the association between respiratory illnesses and asthma. However, our study suggests that there are clear population-specific differences in asthma susceptibility across a variety of respiratory illnesses using a large cohort of minority children from three distinct racial/ethnic populations. Moreover, our study also benefits from the wide range of clinical, social, and genetic data available on these children.

Conclusion

Early-life respiratory illnesses such as RSV, which is highly prevalent in Puerto Ricans, have previously been associated with asthma. Our findings indicate that early-life respiratory infections are particularly associated with the later development of asthma in our population regardless of race/ethnicity, with Puerto Rican children having the stronger associations.

Supporting information

S1 Text. Derivation of socioeconomic status (SES).

(DOCX)

S2 Text. Derivation of global ancestry estimates.

(DOCX)

S1 Table. Pairwise comparison of odds ratios for asthma after two years of age following early-life respiratory infection by racial/ethnic group.

Definition of Abbreviations: URI = Upper Respiratory Infection.

(DOCX)

S2 Table. Descriptive statistics for selected characteristics of the study population including those diagnosed with asthma before age two (N = 3,722).

(DOCX)

S3 Table. Odds ratios and confidence intervals from the population-specific and combined association analysis between respiratory illnesses in the first two years of life and physician-diagnosed asthma according to race/ethnicity and in the total population in GALA II and SAGE: 2006–2014.

Definition of Abbreviations: URI = Upper Respiratory Infection.

(DOCX)

S4 Table. Pairwise comparison of odds ratios for asthma following early-life respiratory infection by racial/ethnic group including those diagnosed with asthma before age two.

(DOCX)

S5 Table. Descriptive characteristics of Puerto Rican Islanders and Mainlanders.

(DOCX)

S6 Table. Odds ratios and confidence intervals from the geography-specific analysis between respiratory illnesses in the first two years of life and physician-diagnosed asthma after the age of two in the two Puerto Rican populations: Islanders and Mainlanders.

Definition of Abbreviations: URI = Upper Respiratory Infection.

(DOCX)

Acknowledgments

The authors acknowledge the families and patients for their participation and thank the numerous health care providers and community clinics for their support and participation in GALA II / SAGE. In particular, the authors thank study coordinator Sandra Salazar; the recruiters who obtained the data: Duanny Alva, MD, Gaby Ayala-Rodríguez, Lisa Caine, Elizabeth Castellanos, Jaime Colón, Denise DeJesus, Blanca López, Brenda López, MD, Louis Martos, Vivian Medina, Juana Olivo, Mario Peralta, Esther Pomares, MD, Jihan Quraishi, Johanna Rodríguez, Shahdad Saeedi, Dean Soto, Ana Taveras.

Abbreviations

RSV

respiratory syncytial virus

HRV

human rhinovirus

GALA II

Genes-Environments and Admixture in Latino Americans

SAGE

The Study of African Americans, Asthma, Genes and Environments

URI

upper respiratory infection

SES

socioeconomic status

Data Availability

Biological, environmental and phenotypic data analyzed in the current study are available in the dbGAP repository (study accession numbers: SAGE phs00921.v1.p1, GALA II phs001180.v1.p1). Psychosocial data analyzed in the current study (experience of discrimination and socioeconomic status) are not publicly available due to the sensitive nature of the data and privacy concerns for study participants. Psychosocial data is currently stored in the UCSF Box repository and is available upon reasonable request at asthma.collaboratory@ucsf.edu

Funding Statement

This work was supported in part by the Sandler Family Foundation, the American Asthma Foundation, the RWJF Amos Medical Faculty Development Program, Harry Wm. and Diana V. Hind Distinguished Professor in Pharmaceutical Sciences II, National Institutes of Health R01HL117004, R01HL128439, R01HL135156, 1X01HL134589, R01HL141992, 5T32GM007546, 1U01HL138626-01A1, National Institute of Health and Environmental Health Sciences R01ES015794, R21ES24844, the National Institute on Minority Health and Health Disparities P60MD006902 RL5GM118984, R01MD010443 and the Tobacco-Related Disease Research Program under Award Number 24RT-0025, 27IR-0030.

References

  • 1.Asthma. World Health Organization (WHO). Available from: http://www.who.int/respiratory/asthma/en/
  • 2.Bloom B, Cohen RA, Freeman G. Summary health statistics for U.S. children: National Health Interview Survey, 2009. Vital Health Stat 10. 2010;(247):1–82. Epub 2011/05/14. . [PubMed] [Google Scholar]
  • 3.Aligne CA, Auinger P, Byrd RS, Weitzman M. Risk factors for pediatric asthma. Contributions of poverty, race, and urban residence. Am J Respir Crit Care Med. 2000;162(3 Pt 1):873–7. Epub 2000/09/16. 10.1164/ajrccm.162.3.9908085 . [DOI] [PubMed] [Google Scholar]
  • 4.Oh SS, White MJ, Gignoux CR, Burchard EG. Making Precision Medicine Socially Precise. Take a Deep Breath. Am J Respir Crit Care Med. 2016;193(4):348–50. 10.1164/rccm.201510-2045ED [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Subbarao P, Mandhane PJ, Sears MR. Asthma: epidemiology, etiology and risk factors. CMAJ. 2009;181(9):E181–90. Epub 2009/09/16. 10.1503/cmaj.080612 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Barr RG, Aviles-Santa L, Davis SM, Aldrich TK, Gonzalez F, 2nd, Henderson AG, et al. Pulmonary Disease and Age at Immigration among Hispanics. Results from the Hispanic Community Health Study/Study of Latinos. Am J Respir Crit Care Med. 2016;193(4):386–95. Epub 2015/10/10. 10.1164/rccm.201506-1211OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Akinbami LJ. Asthma Prevalence, Health Care Use and Mortality: United States, 2003–05: Center for Disease Control and Prevention: National Center for Health Statistics; 2010. Available from: https://www.cdc.gov/nchs/data/hestat/asthma03-05/asthma03-05.htm
  • 8.Neophytou AM, Oh SS, Hu D, Huntsman S, Eng C, Rodríguez-Santana JR, et al. In utero tobacco smoke exposure, DNA methylation, and asthma in Latino children. Environ Epidemiol. 2019;3(3):e048 Epub 2019/06/19. 10.1097/EE9.0000000000000048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Neophytou AM, White MJ, Oh SS, Thakur N, Galanter JM, Nishimura KK, et al. Air Pollution and Lung Function in Minority Youth with Asthma in the GALA II (Genes-Environments and Admixture in Latino Americans) and SAGE II (Study of African Americans, Asthma, Genes, and Environments) Studies. Am J Respir Crit Care Med. 2016;193(11):1271–80. Epub 2016/01/07. 10.1164/rccm.201508-1706OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Oh SS, Tcheurekdjian H, Roth LA, Nguyen EA, Sen S, Galanter JM, et al. Effect of secondhand smoke on asthma control among black and Latino children. J Allergy Clin Immunol. 2012;129(6):1478–83 e7. Epub 2012/05/04. 10.1016/j.jaci.2012.03.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Pino-Yanes M, Thakur N, Gignoux CR, Galanter JM, Roth LA, Eng C, et al. Genetic ancestry influences asthma susceptibility and lung function among Latinos. J Allergy Clin Immunol. 2015;135(1):228–35. 10.1016/j.jaci.2014.07.053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Thakur N, Barcelo NE, Borrell LN, Singh S, Eng C, Davis A, et al. Perceived Discrimination Associated With Asthma and Related Outcomes in Minority Youth: The GALA II and SAGE II Studies. Chest. 2017;151(4):804–12. Epub 2016/12/06. 10.1016/j.chest.2016.11.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Thakur N, Oh SS, Nguyen EA, Martin M, Roth LA, Galanter J, et al. Socioeconomic status and childhood asthma in urban minority youths. The GALA II and SAGE II studies. Am J Respir Crit Care Med. 2013;188(10):1202–9. 10.1164/rccm.201306-1016OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bacharier LB, Cohen R, Schweiger T, Yin-Declue H, Christie C, Zheng J, et al. Determinants of asthma after severe respiratory syncytial virus bronchiolitis. J Allergy Clin Immunol. 2012;130(1):91–100 e3. Epub 2012/03/27. 10.1016/j.jaci.2012.02.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Castro-Rodriguez JA, Forno E, Rodriguez-Martinez CE, Celedon JC. Risk and Protective Factors for Childhood Asthma: What Is the Evidence? J Allergy Clin Immunol Pract. 2016;4(6):1111–22. Epub 2016/06/12. 10.1016/j.jaip.2016.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Castro-Rodriguez JA, Holberg CJ, Wright AL, Martinez FD. A clinical index to define risk of asthma in young children with recurrent wheezing. Am J Respir Crit Care Med. 2000;162(4 Pt 1):1403–6. Epub 2000/10/13. 10.1164/ajrccm.162.4.9912111 . [DOI] [PubMed] [Google Scholar]
  • 17.Escobar GJ, Masaquel AS, Li SX, Walsh EM, Kipnis P. Persistent recurring wheezing in the fifth year of life after laboratory-confirmed, medically attended respiratory syncytial virus infection in infancy. BMC Pediatr. 2013;13:97 Epub 2013/06/21. 10.1186/1471-2431-13-97 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Jackson DJ, Gangnon RE, Evans MD, Roberg KA, Anderson EL, Pappas TE, et al. Wheezing rhinovirus illnesses in early life predict asthma development in high-risk children. Am J Respir Crit Care Med. 2008;178(7):667–72. Epub 2008/06/21. 10.1164/rccm.200802-309OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kusel MM, de Klerk NH, Kebadze T, Vohma V, Holt PG, Johnston SL, et al. Early-life respiratory viral infections, atopic sensitization, and risk of subsequent development of persistent asthma. J Allergy Clin Immunol. 2007;119(5):1105–10. Epub 2007/03/14. 10.1016/j.jaci.2006.12.669 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lemanske RF Jr., Jackson DJ, Gangnon RE, Evans MD, Li Z, Shult PA, et al. Rhinovirus illnesses during infancy predict subsequent childhood wheezing. J Allergy Clin Immunol. 2005;116(3):571–7. Epub 2005/09/15. 10.1016/j.jaci.2005.06.024 . [DOI] [PubMed] [Google Scholar]
  • 21.Sigurs N. Epidemiologic and clinical evidence of a respiratory syncytial virus-reactive airway disease link. Am J Respir Crit Care Med. 2001;163(3 Pt 2):S2–6. Epub 2001/03/20. 10.1164/ajrccm.163.supplement_1.2011109 . [DOI] [PubMed] [Google Scholar]
  • 22.Sigurs N, Bjarnason R, Sigurbergsson F, Kjellman B. Respiratory syncytial virus bronchiolitis in infancy is an important risk factor for asthma and allergy at age 7. Am J Respir Crit Care Med. 2000;161(5):1501–7. Epub 2000/05/12. 10.1164/ajrccm.161.5.9906076 . [DOI] [PubMed] [Google Scholar]
  • 23.Sigurs N, Bjarnason R, Sigurbergsson F, Kjellman B, Bjorksten B. Asthma and immunoglobulin E antibodies after respiratory syncytial virus bronchiolitis: a prospective cohort study with matched controls. Pediatrics. 1995;95(4):500–5. Epub 1995/04/01. . [PubMed] [Google Scholar]
  • 24.Sigurs N, Gustafsson PM, Bjarnason R, Lundberg F, Schmidt S, Sigurbergsson F, et al. Severe respiratory syncytial virus bronchiolitis in infancy and asthma and allergy at age 13. Am J Respir Crit Care Med. 2005;171(2):137–41. Epub 2004/11/02. 10.1164/rccm.200406-730OC . [DOI] [PubMed] [Google Scholar]
  • 25.Jartti T, Gern JE. Rhinovirus-associated wheeze during infancy and asthma development. Curr Respir Med Rev. 2011;7(3):160–6. Epub 2011/06/01. 10.2174/157339811795589423 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Jartti T, Korppi M. Rhinovirus-induced bronchiolitis and asthma development. Pediatr Allergy Immunol. 2011;22(4):350–5. Epub 2011/05/04. 10.1111/j.1399-3038.2011.01170.x . [DOI] [PubMed] [Google Scholar]
  • 27.Caliskan M, Bochkov YA, Kreiner-Moller E, Bonnelykke K, Stein MM, Du G, et al. Rhinovirus wheezing illness and genetic risk of childhood-onset asthma. N Engl J Med. 2013;368(15):1398–407. Epub 2013/03/29. 10.1056/NEJMoa1211592 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Voraphani N, Stern DA, Wright AL, Guerra S, Morgan WJ, Martinez FD. Risk of current asthma among adult smokers with respiratory syncytial virus illnesses in early life. Am J Respir Crit Care Med. 2014;190(4):392–8. Epub 2014/06/14. 10.1164/rccm.201311-2095OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McGuiness CB, Boron ML, Saunders B, Edelman L, Kumar VR, Rabon-Stith KM. Respiratory syncytial virus surveillance in the United States, 2007–2012: results from a national surveillance system. Pediatr Infect Dis J. 2014;33(6):589–94. Epub 2014/01/22. 10.1097/INF.0000000000000257 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Molinari Such M, Garcia I, Garcia L, Puig G, Pedraza L, Marin J, et al. Respiratory syncytial virus-related bronchiolitis in Puerto Rico. P R Health Sci J. 2005;24(2):137–40. Epub 2005/08/25. . [PubMed] [Google Scholar]
  • 31.Nishimura KK, Galanter JM, Roth LA, Oh SS, Thakur N, Nguyen EA, et al. Early-life air pollution and asthma risk in minority children. The GALA II and SAGE II studies. Am J Respir Crit Care Med. 2013;188(3):309–18. Epub 2013/06/12. 10.1164/rccm.201302-0264OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Gillman MW, Barker D, Bier D, Cagampang F, Challis J, Fall C, et al. Meeting report on the 3rd International Congress on Developmental Origins of Health and Disease (DOHaD). Pediatr Res. 2007;61(5 Pt 1):625–9. Epub 2007/04/07. 10.1203/pdr.0b013e3180459fcd . [DOI] [PubMed] [Google Scholar]
  • 33.Pullan CR, Hey EN. Wheezing, asthma, and pulmonary dysfunction 10 years after infection with respiratory syncytial virus in infancy. Br Med J (Clin Res Ed). 1982;284(6330):1665–9. Epub 1982/06/05. 10.1136/bmj.284.6330.1665 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Genome Toolbox. Test for a Difference in Two Odds Ratios 2014. Available from: http://genometoolbox.blogspot.com/2014/06/test-for-difference-in-two-odds-ratios.html
  • 35.Bai J, Smock SL, Jackson GR Jr., MacIsaac KD, Huang Y, Mankus C, et al. Phenotypic responses of differentiated asthmatic human airway epithelial cultures to rhinovirus. PLoS One. 2015;10(2):e0118286 Epub 2015/02/24. 10.1371/journal.pone.0118286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention 2017. Available from: www.ginasthma.org
  • 37.Jansen RR, Wieringa J, Koekkoek SM, Visser CE, Pajkrt D, Molenkamp R, et al. Frequent detection of respiratory viruses without symptoms: toward defining clinically relevant cutoff values. J Clin Microbiol. 2011;49(7):2631–6. Epub 2011/05/06. 10.1128/JCM.02094-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Munywoki PK, Koech DC, Agoti CN, Bett A, Cane PA, Medley GF, et al. Frequent Asymptomatic Respiratory Syncytial Virus Infections During an Epidemic in a Rural Kenyan Household Cohort. J Infect Dis. 2015;212(11):1711–8. Epub 2015/05/06. 10.1093/infdis/jiv263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Matias I, Garcia I, Garcia-Fragoso L, Puig G, Pedraza L, Rodriguez L, et al. Trends of Respiratory Syncytial Virus Infections in Children under 2 Years of Age in Puerto Rico. P R Health Sci J. 2015;34(2):98–101. Epub 2015/06/11. . [PubMed] [Google Scholar]
  • 40.Wennergren G, Kristjansson S. Relationship between respiratory syncytial virus bronchiolitis and future obstructive airway diseases. Eur Respir J. 2001;18(6):1044–58. Epub 2002/02/07. 10.1183/09031936.01.00254101 . [DOI] [PubMed] [Google Scholar]
  • 41.Burchard EG, Ziv E, Coyle N, Gomez SL, Tang H, Karter AJ, et al. The importance of race and ethnic background in biomedical research and clinical practice. N Engl J Med. 2003;348(12):1170–5. 10.1056/NEJMsb025007 . [DOI] [PubMed] [Google Scholar]
  • 42.Szentpetery SE, Forno E, Canino G, Celedon JC. Asthma in Puerto Ricans: Lessons from a high-risk population. J Allergy Clin Immunol. 2016;138(6):1556–8. Epub 2016/10/19. 10.1016/j.jaci.2016.08.047 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Sreekumar Othumpangat

4 Feb 2020

PONE-D-19-32435

Differential asthma risk following respiratory infection in children from three minority populations

PLOS ONE

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Sreekumar Othumpangat, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (if provided):

In this manuscript authors address whether early life respiratory illness was associated with later life asthma in minority children. There are several concerns that need to be addressed as stated by reviewer 1 and 2.

Authors need to add more information on bronchiolitis of RSV and HRV. It is not clear whether the self-reported asthma or diagnosed by a physician before the age of 2 from the methods presented.

In results the Puerto Ricans were more likely to report RSV infection than the other minorities, does this has anything to do with the genetics or is it fully related to the earlier infection?

Not much information provided with the early life HRV, does the data show a similar effect as RSV?

Discussion may address other factors like environment, genetic variation or life style that could have a role in mainlanders and the islanders.

Line 298 to 302, modify the sentences, to avoid confusion on mainlanders and islanders.

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Reviewer #1: Partly

Reviewer #2: Yes

**********

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Reviewer #1: I Don't Know

Reviewer #2: Yes

**********

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Reviewer #2: No

**********

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Reviewer #2: Yes

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5. Review Comments to the Author

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Reviewer #1: The authors present an analysis looking at the relationship between ethnicity and asthma, using 2006 through 2014 data from two case-control studies (GALA II and SAGE). The authors report that the odds of asthma were higher among Puerto Ricans (from the island of Puerto Rico, not the mainland USA) than the odds observed among Mexican Americans and African Americans.

This study is overall interesting and has scientific merit. There are several issues that the authors need to address and clarifications that are needed, in order to better understand the findings. One big limitation of the study is that it relies upon self-reporting of history of respiratory infections as well as diagnosis of asthma, both of which are subject to recall bias among other biases.

Please refer to attached document for additional recommendations.

Reviewer #2: In this work, the authors explored the association between early-life respiratory illness and physician-diagnosed asthma at 2 years in three minority populations and found a strong association. Though the findings are not new, it has strengthened existing evidence. The authors need to clearly mention the value of the findings and specific recommendations for the next step.

Specific comments and suggestions:

1. It would be worth to mention in the background some hypothesis citing previous relevant work why asthma morbidity and mortality has been strikingly higher among Puerto Rican as early-life respiratory infections are one of many drivers that contributes asthma development

2. It is not clear whether the etiologies of respiratory illnesses (URI, pneumonia, bronchitis) were investigated. Most published works so far reportedly linked early life viral respiratory infections with childhood asthma. If the etiologic data is available it would be good to perform a sub-analysis to look for specific association between viral URI/pneumonia before two years and asthma at two years of age and how this varies by ethnicity

3. Line 151: It is not clear whether all bronchiolitis episodes had a detectable RSV, although we know that most bronchiolitis is caused by RSV

4. Line 154: atopic status (this might vary by ethnicity) of enrolled children needed to be addressed as a covariate as this might influence the relationship between respiratory infections and risk of asthma development (https://www.sciencedirect.com/science/article/abs/pii/S0091674907002382

**********

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Reviewer #1: No

Reviewer #2: Yes: Md. Zakiul Hassan

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Attachment

Submitted filename: Plos_review_RSV_PR.docx

Decision Letter 1

Sreekumar Othumpangat

1 Apr 2020

Differential asthma odds following respiratory infection in children from three minority populations

PONE-D-19-32435R1

Dear Dr. Borrell,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

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With kind regards,

Sreekumar Othumpangat, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Sreekumar Othumpangat

6 Apr 2020

PONE-D-19-32435R1

Differential asthma odds following respiratory infection in children from three minority populations

Dear Dr. Borrell:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Sreekumar Othumpangat

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Text. Derivation of socioeconomic status (SES).

    (DOCX)

    S2 Text. Derivation of global ancestry estimates.

    (DOCX)

    S1 Table. Pairwise comparison of odds ratios for asthma after two years of age following early-life respiratory infection by racial/ethnic group.

    Definition of Abbreviations: URI = Upper Respiratory Infection.

    (DOCX)

    S2 Table. Descriptive statistics for selected characteristics of the study population including those diagnosed with asthma before age two (N = 3,722).

    (DOCX)

    S3 Table. Odds ratios and confidence intervals from the population-specific and combined association analysis between respiratory illnesses in the first two years of life and physician-diagnosed asthma according to race/ethnicity and in the total population in GALA II and SAGE: 2006–2014.

    Definition of Abbreviations: URI = Upper Respiratory Infection.

    (DOCX)

    S4 Table. Pairwise comparison of odds ratios for asthma following early-life respiratory infection by racial/ethnic group including those diagnosed with asthma before age two.

    (DOCX)

    S5 Table. Descriptive characteristics of Puerto Rican Islanders and Mainlanders.

    (DOCX)

    S6 Table. Odds ratios and confidence intervals from the geography-specific analysis between respiratory illnesses in the first two years of life and physician-diagnosed asthma after the age of two in the two Puerto Rican populations: Islanders and Mainlanders.

    Definition of Abbreviations: URI = Upper Respiratory Infection.

    (DOCX)

    Attachment

    Submitted filename: Plos_review_RSV_PR.docx

    Attachment

    Submitted filename: Response_to_Reviewers PLOS One.docx

    Data Availability Statement

    Biological, environmental and phenotypic data analyzed in the current study are available in the dbGAP repository (study accession numbers: SAGE phs00921.v1.p1, GALA II phs001180.v1.p1). Psychosocial data analyzed in the current study (experience of discrimination and socioeconomic status) are not publicly available due to the sensitive nature of the data and privacy concerns for study participants. Psychosocial data is currently stored in the UCSF Box repository and is available upon reasonable request at asthma.collaboratory@ucsf.edu

    Biological, environmental and phenotypic data analyzed in the current study are available in the dbGAP repository (study accession numbers: SAGE phs00921.v1.p1, GALA II phs001180.v1.p1). Psychosocial data analyzed in the current study (experience of discrimination and socioeconomic status) are not publicly available due to the sensitive nature of the data and privacy concerns for study participants. Psychosocial data is currently stored in the UCSF Box repository and is available upon reasonable request at asthma.collaboratory@ucsf.edu.


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