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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: Pediatr Infect Dis J. 2019 May;38(5):525–527. doi: 10.1097/INF.0000000000002168

Predictors of Poor Outcomes among Infants with Respiratory Syncytial Virus-Associated Acute Lower Respiratory Infection in Botswana

Sweta M Patel 1, Lisa Spees 2, Marek Smieja 3, Kathy Luinstra 3, Andrew P Steenhoff 4,5, Kristen A Feemster 4,5, Tonya Arscott-Mills 4,6, Sefelani Boiditswe 6, Mohamed Z Patel 7, Samir S Shah 8, Coleen K Cunningham 9, Matthew S Kelly 9
PMCID: PMC6465100  NIHMSID: NIHMS985533  PMID: 30543564

Abstract

Among children one to 23 months of age with respiratory syncytial virus-associated acute lower respiratory infection in Botswana, young age (<6 months), household use of wood as a cooking fuel, moderate or severe malnutrition, and oxygen saturation <90% on room air were independent predictors of clinical non-response at 48 hours. Among HIV-uninfected infants less than six months of age, HIV exposure was associated with a higher risk of in-hospital mortality.

Keywords: respiratory syncytial virus, outcomes, children, HIV-exposed, Botswana

Introduction

Lower respiratory infection is the leading infectious cause of death among children, and more than half of these deaths occur in sub-Saharan Africa (SSA) (1). Respiratory syncytial virus (RSV) is the most common viral cause of lower respiratory infection in young children. Relative to lower respiratory illnesses caused by other viruses, RSV-associated acute lower respiratory infection (RSV-ALRI) results in a prolonged illness course and higher utilization of acute care resources, which can strain already overburdened health care systems in resource-poor settings (2). Previous studies identified predictors of poor outcomes from RSV-ALRI in developed countries. Few data exist from SSA where potential risk factors such as human immunodeficiency virus (HIV) infection or exposure, malnutrition, and exposure to household air pollution are common (3, 4). Within the context of a prospective cohort study of children with pneumonia, we sought to identify risk factors for poor outcomes among the subset of children with RSV-ALRI.

Methods

The study setting and population were previously described in detail (2, 5). Briefly, we recruited infants one to 23 months of age with pneumonia, defined by the World Health Organization (WHO) as “cough or difficulty breathing with lower chest wall indrawing,” at a tertiary hospital in Gaborone, Botswana between April 2012 and June 2016. Exclusion criteria included chronic medical conditions predisposing to pneumonia with the exception of HIV infection, hospitalization in the prior 14 days, asthma, or wheezing with resolution of chest wall indrawing after two or fewer bronchodilator treatments. All children were recruited within six hours of the triage time in the Emergency Department. Clinical care was provided by medical officers and residents under the supervision of pediatricians. Antibiotic treatment decisions were at the discretion of these supervising pediatricians. Supplemental oxygen and continuous positive airway pressure (CPAP) were routinely available; mechanical ventilation was available on a limited basis. Respiratory virus testing was not performed by the hospital microbiology laboratory during the study period.

A nasopharyngeal swab was obtained from each subject at enrollment and later tested for RSV and other common respiratory viruses using real-time polymerase chain reaction (2). Only children from whom RSV was detected were included in the present analyses. Children of mothers with documented negative HIV testing during pregnancy, at delivery, or at enrollment were classified as HIV-unexposed, uninfected. Children whose mothers tested positive for HIV before or at delivery were classified as HIV-exposed, uninfected (HIV-EU) if they tested negative for HIV after six weeks of age if exclusively formula fed, at least 6 weeks after breastfeeding cessation, or at enrollment. The primary outcome, clinical non-response, was assessed at 48 (±2) hours by a study physician or nurse blinded to enrollment data. Clinical non-response was defined as persistent lower chest wall indrawing, new WHO danger signs, oxygen saturation <80% on room air, a continued requirement for CPAP or mechanical ventilation, or death. This definition was adapted from a prior WHO-funded study of childhood pneumonia (6). Secondary outcomes included days of respiratory support (supplemental oxygen, CPAP, or mechanical ventilation) and length of stay. We excluded children with severe malnutrition from length of stay analyses because these children often remain hospitalized for nutritional rehabilitation after resolution of their respiratory illness.

We analyzed baseline characteristics of the study population using Chi-square or Fisher’s exact tests for categorical variables and Mann-Whitney U tests for continuous variables. Multivariable analyses included variables that were associated with clinical non-response at 48 hours in univariable analyses (P<0.05). For multivariable analyses, we used modified Poisson regression to estimate risk ratios (RRs) for clinical non-response. We used this approach, as opposed to logistic regression, since the odds ratio provides an upwardly biased estimate of the RR when the outcome is common (>10%). For our secondary outcomes, days of respiratory support and length of stay, we estimated incidence rate ratios (IRRs) using negative binomial regression due to the rightward-skewed distribution of these outcomes. All statistical analyses were conducted using SAS software version 9.4 (SAS Institute, Cary, NC).

Results

We enrolled 398 children with pneumonia during the study period, including 123 children with RSV infection who were included in the analyses presented herein. Characteristics of the study population are shown in Table 1. Clinical non-response at 48 hours occurred in 53 children (43%). The criteria met for clinical non-response were persistent lower chest wall indrawing (n=32), new WHO danger signs (n=8), oxygen saturation <80% (n=4), a continued requirement for CPAP or mechanical ventilation (n=5), and death (n=4). Median [interquartile range (IQR)] duration of respiratory support was 2 (0, 4) days and median (IQR) length of stay among children surviving to hospital discharge was 4 (2, 8) days. Eighty-five (69%) children required supplemental oxygen, thirteen (11%) children required CPAP, and four (3%) children required mechanical ventilation. Four (3%) children died including one HIV-infected infant and three HIV-EU infants. In univariable analyses, age less than 6 months, HIV exposure status, household use of wood as a cooking fuel, moderate or severe malnutrition, WHO severe disease, and oxygen saturation <90% on room air at enrollment were associated with clinical non-response at 48 hours.

Table 1.

Characteristics of children one to 23 months of age with respiratory syncytial virus-associated acute lower respiratory infection in Gaborone, Botswana, April 2012 to June 2016.

Total
(N = 123)
Clinical Non-Response
(N = 53)
Clinical Response
(N = 70)
Pa Pb
n (%) n (%) n (%)
Demographics
Age 0.01 0.01
 <6 months 74 (60) 39 (74) 35 (50)
 6 to 23 months 49 (40) 14 (26) 35 (50)
Female sex 60 (49) 24 (45) 36 (51) 0.50
Birth weight <2500 grams (n=122) 24 (20) 14 (26) 10 (14) 0.10
HIV exposure status (n=121) 0.03 0.06
 HIV-exposed, infected 4 (3) 4 (8) 0 (0)
 HIV-EU 36 (30) 18 (35) 18 (26)
 HIV-unexposed, uninfected 81 (67) 30 (58) 51 (74)
Household use of wood as a cooking fuel 54 (44) 31 (58) 23 (33) 0.005 0.02
Number of household members, median (IQR) 5 (4,7) 6 (4,8) 5 (4,7) 0.43
Nutrition and feeding practices
Moderate or severe malnutritionc (n=116) 14 (12) 10 (20) 4 (6) 0.02 0.02
Current breastfeeding 64 (52) 23 (43) 41 (59) 0.10
Current illness factors
WHO severe diseased 48 (39) 27 (51) 21 (30) 0.02 0.71
Oxygen saturation <90%, room air 45 (37) 28 (53) 17 (24) 0.001 0.04
Days of cough, median (IQR) 3 (2, 5) 3 (2, 5) 3 (2, 5) 0.37
Respiratory virus co-infectione 18 (15) 7 (13) 11 (16) 0.70

HIV-EU, HIV-exposed, uninfected; WHO, World Health Organization; IQR, interquartile range

a

Univariable P values from Chi-square or Fisher’s exact tests (for categorical variables) or Mann-Whitney U test (for continuous variables)

b

Multivariable P values from modified Poisson regression

c

Defined as weight-for-length less than the −2 standard deviation on WHO growth curves, mid-upper arm circumference <125mm (for children ≥6 months), or bilateral edema of nutritional origin

d

Pneumonia accompanied by WHO danger signs (central cyanosis, convulsions, inability to drink, or abnormal sleepiness)

e

Respiratory virus co-infections included adenovirus (n=2), influenza B (n=1), rhinovirus A (n=6), rhinovirus B (n=2), and rhinovirus C (n=7)

In multivariable analyses, age less than 6 months (RR: 1.97; 95% CI: 1.19–3.25; P=0.01), household use of wood as a cooking fuel (RR: 1.66; 95% CI: 1.10–2.52; P=0.02), moderate or severe malnutrition (RR: 1.71; 95% CI: 1.09–2.69; P=0.02), and oxygen saturation <90% (RR: 1.56; 95% CI: 1.03–2.37; P=0.04) were independent predictors of clinical non-response. Oxygen saturation <90% (IRR: 2.01; 95% CI: 1.23–3.28; P=0.01) and HIV exposure or infection (IRR: 1.63; 95% CI: 1.02–2.61; P=0.04) predicted a longer duration of respiratory support. Age less than 6 months (IRR: 1.43; 95% CI: 1.04–1.95; P=0.03) and oxygen saturation <90% (RR: 1.46; 95% CI: 1.03–2.06; P=0.03) were independently associated with a longer length of stay.

To further investigate the effects of HIV exposure on outcomes of RSV-ALRI, we performed secondary analyses stratified by age. Among HIV-uninfected children less than 6 months of age, in-hospital mortality was higher in HIV-EU (3 of 23; 13%) than in HIV-unexposed, uninfected (0 of 47; 0%) children in univariable analyses (P=0.03). Clinical non-response did not differ in HIV-EU (15 of 23; 65%) and HIV-unexposed, uninfected (21 of 47; 45%) children (P=0.11).

Discussion

Among children with RSV-ALRI in Botswana, young age, household use of wood as a cooking fuel, moderate or severe malnutrition, and oxygen saturation <90% at enrollment were independent predictors of clinical non-response at 48 hours. HIV exposure was associated with higher in-hospital mortality among HIV-uninfected children less than 6 months of age in univariable analyses.

Household air pollution is responsible for nearly 300,000 child deaths each year in SSA (7). We previously found an association between exposure to smoke from biomass fuels and outcomes in this cohort of children with clinical pneumonia (8). However, to our knowledge, this is the first description of such an association among children with RSV-ALRI. There are multiple factors that contribute to the relationship between household air pollution and respiratory infections in children. In animal models, exposure to particulate matter has been shown to lead to chronic airway inflammation and impairment of mucociliary clearance and other immune defenses (9). Young children may be exposed to particularly high levels of these pollutants because they are often in close proximity to their caregivers during meal preparation. Our findings provide further evidence of the detrimental health effects of exposure to smoke from biomass fuels and support interventions aiming to reduce household air pollution.

Moderate or severe malnutrition was an independent predictor of clinical non-response at 48 hours. This finding is consistent with a study conducted in the Philippines in which malnutrition was associated with a higher risk of RSV-ALRI hospitalization among infants (10). Malnutrition impairs immune function and can disrupt epithelial integrity in the respiratory tract, increasing susceptibility to lower respiratory infection and prolonging recovery from illnesses. Nutritional rehabilitation improves outcomes from respiratory infections among malnourished children and should be a cornerstone of therapy when these children are hospitalized for RSV-ALRI (11).

HIV exposure was associated with in-hospital mortality among HIV-uninfected children less than 6 months of age in univariable analyses. Although this result should be interpreted with caution given the small number of deaths from RSV-ALRI in our cohort, it is consistent with findings from a study of more than 800 South African infants with RSV-ALRI; in this study, the case fatality rates for HIV-EU and HIV-unexposed, uninfected infants less than 6 months of age were 3% and 1%, respectively (4). Possible explanations for the higher mortality observed in HIV-EU infants include impaired transfer of protective maternal antibodies and other immune abnormalities resulting from in utero exposure to HIV or antiretroviral medications (12). Taken together, these findings suggest that HIV-exposed children should be prioritized for future preventative and therapeutic interventions for RSV-ALRI.

Our study has several limitations. First, it was conducted at a single referral hospital in Botswana, and the results may not be generalizable to other settings. Additionally, limited diagnostic capabilities precluded advanced testing for bacterial pathogens. While in high-income countries the rate of bacterial co-infection in RSV-ALRI is low, few data exist in settings with a high prevalence of HIV infection or exposure, severe malnutrition, and other established risk factors for bacterial pneumonia. Notably, 9-valent pneumococcal conjugate vaccine reduced the incidence of RSV-associated pneumonia in a study of South African children (13). Thus, we cannot exclude the possibility that bacterial co-infection contributed to the associations that we observed between potential risk factors and RSV-ALRI outcomes. In addition, the small sample size limits our ability to draw definitive conclusions about associations between certain factors and outcomes in RSV-ALRI. Finally, although we identified potential risk factors for poor outcomes of RSV-ALRI a priori based on a literature review, the potential for bias by unmeasured confounding exists.

In summary, we identified several risk factors for poor outcomes from RSV-ALRI among children in Botswana. These data could inform future use of RSV vaccines and therapeutics in these populations.

Acknowledgments:

We would like to thank Copan Italia (Brescia, Italy) for donation of the universal transport media and flocked swabs used in the collection of nasopharyngeal specimens. We offer sincere thanks to the children and families who participated in this study.

Funding Sources: This research was supported by an Early Career Award from the Thrasher Research Fund (to MSK), a Burroughs Wellcome / American Society of Tropical Medicine and Hygiene Postdoctoral Fellowship in Tropical Infectious Diseases (to MSK), by Children’s Hospital of Philadelphia (to APS, KAF) and the Pincus Family Foundation, and through core services from the Penn Center for AIDS Research, a National Institutes of Health (NIH)-funded program (P30-AI045008). Funding for this project was also made possible in part by a CIPHER grant (to MSK) from the International AIDS Society, supported by ViiV Healthcare. The views expressed in this publication do not necessarily reflect the official policies of the International AIDS Society or ViiV Healthcare. MSK and CKC received financial support from the NIH through the Duke Center for AIDS Research (P30-AI064518). TAM and APS received financial support from the NIH through the Penn Center for AIDS Research (P30-AI045008). LPS was supported by a National Service Research Award Post-Doctoral Traineeship from the Agency for Healthcare Research and Quality sponsored by Cecil G. Sheps Health Services Research, University of North Carolina at Chapel Hill (5T32 HS000032–28). MSK was supported by NIH T32 training grants (5T32-HD060558–04, 5T32-HD043029–13). SMP was supported by a NIH T32 training grant (5T32-HL007538–33).

Footnotes

Conflicts of Interest: The authors have no conflicts of interest to disclose.

References

  • 1.Liu L, Oza S, Hogan D, et al. Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet 2016;388:3027–3035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kelly MS, Smieja M, Luinstra K, et al. Association of respiratory viruses with outcomes of severe childhood pneumonia in Botswana. PLoS One 2015;10:e0126593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chu HY, Katz J, Tielsch J, et al. Respiratory syncytial virus infection in infants in rural Nepal. J Infect 2016;73:145–154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Cohen C, Moyes J, Tempia S, et al. Epidemiology of Acute Lower Respiratory Tract Infection in HIV-Exposed Uninfected Infants. Pediatrics 2016;137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kelly MS, Wirth KE, Steenhoff AP, et al. Treatment Failures and Excess Mortality Among HIV-Exposed, Uninfected Children With Pneumonia. J Pediatric Infect Dis Soc 2015;4:e117–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Addo-Yobo E, Chisaka N, Hassan M, et al. Oral amoxicillin versus injectable penicillin for severe pneumonia in children aged 3 to 59 months: a randomised multicentre equivalency study. Lancet 2004;364:1141–1148. [DOI] [PubMed] [Google Scholar]
  • 7.Global Health Observatory data repository: Household air pollution. Geneva: World Health Organization; 2015. [Google Scholar]
  • 8.Kelly MS, Wirth KE, Madrigano J, et al. The effect of exposure to wood smoke on outcomes of childhood pneumonia in Botswana. Int J Tuberc Lung Dis 2015;19:349–355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Nandasena S, Wickremasinghe AR, Sathiakumar N. Indoor air pollution and respiratory health of children in the developing world. World J Clin Pediatr 2013;2:6–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Paynter S, Ware RS, Lucero MG, et al. Malnutrition: a risk factor for severe respiratory syncytial virus infection and hospitalization. Pediatr Infect Dis J 2014;33:267–271. [DOI] [PubMed] [Google Scholar]
  • 11.Katona P, Katona-Apte J. The interaction between nutrition and infection. Clin Infect Dis 2008;46:1582–1588. [DOI] [PubMed] [Google Scholar]
  • 12.Afran L, Garcia Knight M, Nduati E, Urban BC, Heyderman RS, Rowland-Jones SL. HIV-exposed uninfected children: a growing population with a vulnerable immune system? Clin Exp Immunol 2014;176:11–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Madhi SA, Klugman KP, Vaccine Trialist G. A role for Streptococcus pneumoniae in virus-associated pneumonia. Nat Med 2004;10:811–813. [DOI] [PMC free article] [PubMed] [Google Scholar]

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