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1.
BMJ ; 338: b542, 2009 Mar 03.
Article in English | MEDLINE | ID: mdl-19261591

ABSTRACT

OBJECTIVE: To describe on a national basis ethnic differences in severe maternal morbidity in the United Kingdom. DESIGN: National cohort study using the UK Obstetric Surveillance System (UKOSS). SETTING: All hospitals with consultant led maternity units in the UK. PARTICIPANTS: 686 women with severe maternal morbidity between February 2005 and February 2006. MAIN OUTCOME MEASURES: Rates, risk ratios, and odds ratios of severe maternal morbidity in different ethnic groups. RESULTS: 686 cases of severe maternal morbidity were reported in an estimated 775 186 maternities, representing an estimated incidence of 89 (95% confidence interval 82 to 95) cases per 100 000 maternities. 74% of women were white, and 26% were non-white. The estimated risk of severe maternal morbidity in white women was 80 cases per 100 000 maternities, and that in non-white women was 126 cases per 100,000 (risk difference 46 (27 to 66) cases per 100 000; risk ratio 1.58, 95% confidence interval 1.33 to 1.87). Black African women (risk difference 108 (18 to 197) cases per 100,000 maternities; risk ratio 2.35, 1.45 to 3.81) and black Caribbean women (risk difference 116 (59 to 172) cases per 100 000 maternities; risk ratio 2.45, 1.81 to 3.31) had the highest risk compared with white women. The risk in non-white women remained high after adjustment for differences in age, socioeconomic and smoking status, body mass index, and parity (odds ratio 1.50, 1.15 to 1.96). CONCLUSIONS: Severe maternal morbidity is significantly more common among non-white women than among white women in the UK, particularly in black African and Caribbean ethnic groups. This pattern is very similar to reported ethnic differences in maternal death rates. These differences may be due to the presence of pre-existing maternal medical factors or to factors related to care during pregnancy, labour, and birth; they are unlikely to be due to differences in age, socioeconomic or smoking status, body mass index, or parity. This highlights to clinicians and policy makers the importance of tailored maternity services and improved access to care for women from ethnic minorities. National information on the ethnicity of women giving birth in the UK is needed to enable ongoing accurate study of these inequalities.


Subject(s)
Maternal Welfare/ethnology , Pregnancy Complications/ethnology , Adolescent , Adult , Africa/ethnology , Asia/ethnology , Cohort Studies , Female , Humans , Middle Aged , Pregnancy , Risk Assessment , Risk Factors , Socioeconomic Factors , United Kingdom/epidemiology , West Indies/ethnology , Young Adult
2.
J Pediatr ; 153(2): 203-8, 208.e1-4, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18534232

ABSTRACT

OBJECTIVE: To investigate the association between severity of impairment and gestational age in unilateral and bilateral spastic cerebral palsy, and to determine whether the influence of gestational age is independent of deviations from optimal birth weight. STUDY DESIGN: The study group was a United Kingdom cohort of 4772 cases of spastic cerebral palsy born between 1960 and 1997, with information on birth demographics and severity of impairment. Generalized additive models were used to determine the proportions of cases severely impaired, by gestational age, and to determine whether gestational age or deviations from optimal birth weight better predicts severity of impairment. RESULTS: For unilateral spastic cerebral palsy, the proportions of severe impairments did not vary with gestational age. In contrast, for bilateral spastic cerebral palsy, the proportions of severe motor or cognitive impairments increased with increasing gestational age (e.g., from 20% to 50% between weeks 30 and 40 for cognitive impairment). For spastic cerebral palsy, gestational age is at least as good as deviation from optimal birth weight in predicting severity. CONCLUSIONS: The severity of impairment increases with increasing gestational age in bilateral spastic cerebral palsy. This suggests differing etiologies in term and preterm infants and supports the theory that the developing brain is better able to compensate after a cerebral insult.


Subject(s)
Cerebral Palsy/classification , Gestational Age , Severity of Illness Index , Birth Weight , Cerebral Palsy/epidemiology , Cognition Disorders/classification , Cohort Studies , Developmental Disabilities/classification , Female , Humans , Infant, Newborn , Logistic Models , Male , Motor Skills Disorders/classification , Predictive Value of Tests
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