Literature DB >> 33430789

Flexible modelling of risk factors on the incidence of pneumonia in young children in South Africa using piece-wise exponential additive mixed modelling.

Jordache Ramjith1, Kit C B Roes2, Heather J Zar3, Marianne A Jonker2.   

Abstract

INTRODUCTION: Recurrent episodes of pneumonia are frequently modeled using extensions of the Cox proportional hazards model with the underlying assumption of time-constant relative risks measured by the hazard ratio. We aim to relax this assumption in a study on the effect of factors on the evolution of pneumonia incidence over time based on data from a South African birth cohort study, the Drakenstein child health study.
METHODS: We describe and apply two models: a time-constant and a time-varying relative effects model in a piece-wise exponential additive mixed model's framework for recurrent events. A more complex model that fits in the same framework is applied to study the continuously measured seasonal effects.
RESULTS: We find that several risk factors (male sex, preterm birth, low birthweight, lower socioeconomic status, lower maternal education and maternal cigarette smoking) have strong relative effects that are persistent across time. When time-varying effects are allowed in the model, HIV exposure status (HIV exposed & uninfected versus HIV unexposed) shows a strong relative effect for younger children, but this effect weakens as children grow older, with a null effect reached from about 15 months. Weight-for-length at birth shows a time increasing relative effect. We also find that children born in the summer have a much higher risk of pneumonia in the 3-to-8-month age period compared with children born in winter.
CONCLUSION: This work highlights the usefulness of flexible modelling tools in recurrent events models. It avoids stringent assumptions and allows estimation and visualization of absolute and relative risks over time of key factors associated with incidence of pneumonia in young children, providing new perspectives on the role of risk factors such HIV exposure.

Entities:  

Keywords:  Additive model; Cox model; Piece-wise exponential model; Proportional hazards; Recurrent events; Survival analysis; Time-varying effects

Mesh:

Year:  2021        PMID: 33430789      PMCID: PMC7802241          DOI: 10.1186/s12874-020-01194-6

Source DB:  PubMed          Journal:  BMC Med Res Methodol        ISSN: 1471-2288            Impact factor:   4.615


  18 in total

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2.  WHO estimates of the causes of death in children.

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3.  Penalized estimation of complex, non-linear exposure-lag-response associations.

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Journal:  J Infect Public Health       Date:  2019-07-06       Impact factor: 3.718

5.  Incidence and severity of childhood pneumonia in the first year of life in a South African birth cohort: the Drakenstein Child Health Study.

Authors:  David M le Roux; Landon Myer; Mark P Nicol; Heather J Zar
Journal:  Lancet Glob Health       Date:  2015-02       Impact factor: 26.763

6.  Epidemiology and etiology of childhood pneumonia in 2010: estimates of incidence, severe morbidity, mortality, underlying risk factors and causative pathogens for 192 countries.

Authors:  Igor Rudan; Katherine L O'Brien; Harish Nair; Li Liu; Evropi Theodoratou; Shamim Qazi; Ivana Lukšić; Christa L Fischer Walker; Robert E Black; Harry Campbell
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Journal:  PLoS One       Date:  2017-02-06       Impact factor: 3.240

8.  Respiratory Syncytial Virus Vaccination during Pregnancy and Effects in Infants.

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Review 10.  Pattern of Infectious Morbidity in HIV-Exposed Uninfected Infants and Children.

Authors:  Amy L Slogrove; Tessa Goetghebuer; Mark F Cotton; Joel Singer; Julie A Bettinger
Journal:  Front Immunol       Date:  2016-05-06       Impact factor: 7.561

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