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Abstract
Objective While several perinatal risk factors for permanent childhood hearing impairment (PCHI) are known, association with gestational length remains unclear. We hypothesised that shorter gestational length predicts higher PCHI risk.
Design 19 504 participants from the UK Millennium Cohort Study (born 2000–2002, prior to newborn screening).
Methods Multivariable discrete-time survival analysis to examine associations between parent-reported PCHI by age 11 years and gestational length, plus other prespecified factors.
Results PCHI affected 2.1 per 1000 children (95% CI 1.5 to 3.0) by age 11; however, gestational length did not predict PCHI risk (HR, 95% CI 1.00, 0.98 to 1.03 per day increase). Risk was increased in those with neonatal illness, with or without admission to neonatal care (6.33, 2.27 to 17.63 and 2.62, 1.15 to 5.97, respectively), of Bangladeshi or Pakistani ethnicity (2.78, 1.06 to 7.31) or born to younger mothers (0.92, 0.87 to 0.97 per year).
Conclusion Neonatal illness, rather than gestational length, predicts PCHI risk. Further research should explore associations with ethnicity.
- deafness
- epidemiology
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What is already known on this topic?
Permanent childhood hearing impairment (PCHI) risk is increased among children exposed to adverse perinatal events.
The association between PCHI and shorter gestational length remains unclear.
What this study adds?
PCHI risk is not predicted by shorter gestational length.
Children of Pakistani or Bangladeshi ethnicity or born to younger mothers are at increased risk of PCHI.
Introduction
Accurate knowledge of permanent childhood hearing impairment (PCHI) incidence and risk factors is needed to inform universal newborn hearing screening (UNHS) policies, particularly for identification of high-risk children that require targeted surveillance or specialised screening. Joint Committee for Infant Hearing (JCIH) guidelines highlight several perinatal PCHI risk factors, including spending five or more days in neonatal intensive care (NIC) or special care baby units.1 Risk of PCHI is proposed to also be associated with other factors, including low birth weight, prenatal maternal smoking, maternal age, lower socioeconomic status and South Asian ethnicity. These factors could either directly impact on auditory development or reflect proxy measures of suboptimal prenatal and perinatal conditions.
Shorter gestation length (a measure of prenatal and perinatal conditions) may predict PCHI risk and is currently used as an indicator of specialised screening in some UNHS programmes. However, current evidence on the association between PCHI and gestational length is inconclusive and mostly limited to high-risk samples with short follow-up.2 3 Using data from a prospective UK-wide child cohort, we investigated whether shorter gestational length predicts PCHI risk by age 11 years, independently of other risk factors. We also investigated the independent associations of other prespecified demographic and perinatal risk factors with PCHI.
Methods
Study population
We included 19 504 participants with available hearing data from the Millennium Cohort Study (MCS), a nationally representative UK sample of children born between September 2000 and January 2002 before UNHS implementation. Main-carer interviews were undertaken when children were aged 9 months, 3, 5, 7 and 11 years.
Outcome
We classified children as having PCHI if they exhibited all of the following:
Parent-reported hearing impairment that did not resolve by their final attended interview.
Parent-reported treatment with a hearing aid or cochlear implant at one or more sweeps.
No parent-reported glue ear at any sweep.
PCHI could be of any severity or cause, and unilateral or bilateral.
Predictors
Gestational length was treated as a continuous variable and calculated in days, using information from hospital records if available, otherwise from maternal report. Implausible values (<168 or >301 days) or invalid responses were treated as missing.
Other early-life predictors reported by main respondents included child ethnicity (categorised using 2001 Census categories: white, mixed, Indian, Pakistani/Bangladeshi, black/black British or other); child sex; maternal age (years) at birth of the child, neonatal illness (none, present without NIC or present with NIC); maternal report of prenatal smoking (yes or no); and birth weight (age-standardised and sex-standardised z-score using UK 1990 standards and excluding values <5 or >5). Mother’s highest educational qualification was treated as a time-varying covariate and categorised as per table 1.
Characteristics of children with or without PCHI by age 11 years
Statistical analysis
Univariable discrete-time survival analysis models were constructed to investigate predicted PCHI risk, followed by a multivariable model including all variables. We excluded children with missing predictor data in univariable and multivariable analyses. Sensitivity analyses included analyses treating gestational length as categorical and excluding children with glue ear (n=1184). Analyses were performed using Stata V.13, with sampling weights and adjustment of variance estimates for the stratified cluster-sampling design.
Results
Study sample
The study sample comprised 19 504 children (10 011 boys, 15 977 white), 1785 of whom had been admitted to NIC and 6702 exposed to prenatal maternal smoking (table 1). Geometric mean gestational length was 39 weeks (95% CI 39 to 39 weeks) and mean birth weight z-score 0.0 (SD 1.0). Most mothers were educated to NVQ level 2 or higher (n=14 805). Mean maternal age at birth was 28 (SD 6) years.
PCHI incidence
By age 11 years, 44 children met the study PCHI case definition (table 1), giving a cumulative PCHI incidence of 2.1 (95% CI 1.5 to 3.0) per 1000 children. Risk of PCHI onset was highest by 9 months of age (n=18, 40% of PCHI conditions identified by this age), but persisted throughout childhood.
Risk factors for PCHI
Shorter gestational length, whether treated as continuous or categorical, did not predict increased PCHI risk. Higher PCHI risk by age 11 years was independently predicted by neonatal illness with or without NIC, younger maternal age at birth and being of Pakistani or Bangladeshi ethnicity (table 2).
Discrete-time survival analysis for risk of PCHI up to age 11 years
Discussion
Key findings
Risk of PCHI was highest between birth and age 9 months, and continued throughout early childhood. Our findings suggest that gestational length is not an independent predictor of PCHI risk, whereas experiencing neonatal illness with or without NIC admission, being of Pakistani or Bangladeshi ethnicity, or being born to a younger mother were. These findings are generalisable to the UK child population born before UNHS implementation.
Strengths and limitations
A key strength of our study is the use of data from a large prospective population-based cohort study with repeated questions on ear or hearing problems rather than a selective sample of preterm or low birthweight babies. We used robust statistical methods to account for multiple covariates, including time-varying covariates, and adjust for sample attrition. Gestational length was available from hospital records in most children and maternal report was deemed to be accurate to within 1 week for children without hospital records.
Limitations were that we relied on parental report rather than objectively measured HI, though we included treatment in the case definition to reduce misclassification. Although audiometric measures and information about aetiology would have allowed more accurate classification, these were not available for the cohort. Additionally, the small number of children with PCHI limited statistical power.
Interpretation
Our estimate of PCHI incidence over the first 11 years of life is comparable to similar studies in Australia4 and provides further information on early and persisting risk of PCHI across childhood. Our findings exclude gestational length as a predictor of PCHI and identify neonatal illness, maternal age and ethnicity as important predictors in a mutually adjusted model.
Neonatal illness and admission to NIC are recognised predictors of PCHI, potentially mediated through infections, hyperbilirubinaemia, hypoxia or exposure to ototoxic drugs.1 We were unable to explore associations with duration of NIC admission or other specific JCIH risk factors as this information was not available. Although it has been suggested that consanguinity may be one factor contributing to PCHI risk in British Bangladeshi children, we did not have information on this and the causal mechanisms associating ethnicity and maternal age with PCHI require further investigation.5
Implications and conclusion
Our findings suggest that gestational length does not predict PCHI risk and underline the importance of neonatal illness, as well as ethnicity and younger maternal age. As UNHS was introduced after the birth of this cohort, age at PCHI onset in this study may not reflect current patterns in age at diagnosis. However, our findings highlight that risk of PCHI persists throughout childhood, providing support for continued vigilance and monitoring after the newborn period. Further research is required to explain the specific causal mechanisms underlying the association of PCHI with ethnicity, maternal age and neonatal illness.
Acknowledgments
The co-operation of the participating families is gratefully acknowledged as is the contribution of the Centre for Longitudinal Studies, UCL Institute of Education. The authors are grateful to the latter organisation for the use of these data and to the UK Data Archive and Economic and Social Data Service for making them available; however, they bear no responsibility for the analysis or interpretation of these data. The persistent identifiers of the data sets used in this paper are: 9 months: http://dx.doi.org/10.5255/UKDA-SN-4683-3; 3 years: http://dx.doi.org/10.5255/UKDA-SN-5350-3; 5 years: http://dx.doi.org/10.5255/UKDA-SN-5795-3; 7 years: http://dx.doi.org/10.5255/UKDA-SN-6411-5; 11 years: http://dx.doi.org/10.5255/UKDA-SN-7464-2.
Footnotes
Twitter @ EmmaButcher26
Contributors All authors contributed to the study conception and the analytic plan. EB designed and conducted the analyses, and wrote the first draft of the paper. All authors interpreted the results and implications, commented on the manuscript at all stages and approved the final submitted version.
Funding EB is funded by an Economic and Social Research Council studentship, grant number: ES/J500185/1. RLK is a Clinical Advisor to the NHS Newborn Blood Spot Screening Programme at Public Health England. CD is supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation and Wellcome Trust. All research at Great Ormond Street Hospital NHS Foundation Trust and UCL Great Ormond Street Institute of Child Health is made possible by the NIHR Great Ormond Street Hospital Biomedical Research Centre. The Millennium Cohort Study is funded by grants to former and current directors of the study from the Economic and Social Research Council (Professor Heather Joshi, Professor Lucinda Platt and Professor Emla Fitzsimons) and a consortium of government funders.
Disclaimer The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. The study sponsors played no part in the design, data analysis and interpretation of this study; the writing of the manuscript or the decision to submit the paper for publication, and the authors’ work was independent of their funders.
Competing interests None declared.
Patient consent Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement This study uses data from the Millennium Cohort Study which is available from the UK Data Archive.