Children's scabies survey indicates high prevalence and misdiagnosis in Auckland educational institutions.

AIM: Here, we present results of a survey of scabies prevalence in childcare centres and primary schools in Auckland. METHODS: Children whose parents agreed to take part in participating centres in the Auckland region were examined for scabies by general practitioners and given questionnaires of relevant symptoms. Diagnoses of clinical or suspected scabies were made according to the International Alliance for the Control of Scabies (IACS) criteria. The survey was a stratified random sample of schools and early childcare centres. A quantitative polymerase chain reaction (PCR) test was also used to complement the IACS criteria. RESULTS: A total of 181 children were examined, with 145 children with history information, 16 of whom (11.0%) met the criteria for 'clinical' or 'suspected' scabies. Weighted analysis, accounting for the survey design, indicated that the prevalence of scabies in early childcare centres was 13.2% (95% CI: 4.3 to 22.1), with no school-aged children fulfilling these criteria. A higher proportion had clinical signs of scabies with 23 (12.7%) having typical scabies lesions and a further 43 (23.8%) had atypical lesions. A total of 64 PCR tests were taken and 15 (23%) were positive. None of these cases were receiving treatment for scabies. Five were undergoing topical skin treatment: three with topical steroid and two with calamine lotion. CONCLUSIONS: The prevalence of children with scabies is high in early childcare centres in Auckland. Misdiagnosis is suggested by several PCR positive cases being treated by topical agents used to treat other skin conditions.

High prevalence of scabies in Auckland pre-schools.

AIM: Scabies is a difficult disease to diagnose and its prevalence not well established. A strong association between scabies and more serious illnesses in children, for instance acute rheumatic fever, suggests greater understanding of scabies prevalence is warranted. Here, we present initial findings of a study of childcare centres, to estimate the prevalence of scabies in the Auckland community. METHODS: Children in three childcare centres from socio-economically challenged areas were examined for scabies. Diagnoses were made according to the International Alliance for the Control of Scabies (IACS) criteria, whose "clinical" or "suspected" definition consists of examination findings of papules: either "typical" or "atypical" distribution, along with history features of itch and contact with likely other cases. A quantitative polymerase chain reaction (qPCR) test was also used. RESULTS: A total of 67 children were examined, with over half (n=38 or 56.7%) showing signs of typical (14; 20.9%) or atypical (24; 35.8%) scabies lesions. History information was available for 50 children. Of these, nine (18%) met the criteria for "clinical" or "suspected" scabies. Of 27 qPCR tests performed nine (33%) tested positive. CONCLUSION: The prevalence of scabies is high in early childcare centres in socio-economically challenged areas of Auckland.

Integrated role of lifestyle habits in cardiometabolic risk factors according to sex in adolescents.

BACKGROUND: A healthy lifestyle should be adopted by young people to maintain cardiometabolic health. AIM: To verify the prevalence and the integrated role of lifestyle habits in cardiometabolic risk factors according to sex in adolescents. SUBJECTS AND METHODS: Cross-sectional study developed with 1502 adolescents, aged 10-17 years. Lifestyle habits included physical activity, screen time and sleep duration evaluated through a questionnaire. Cardiometabolic risk score (CMRS) was calculated by summing z-scores, divided by 6. For statistical analyses, multivariable binary and multinomial logistic regression models were used. RESULTS: 80.7% of the boys classified with adverse CMRS presented physical inactivity, compared to normal CMRS. In girls, 42.6% showed inadequate sleep compared to normal CMRS. Boys classified as inactive showed higher odds for obesity, as well as altered triglycerides (TGs), and systolic blood pressure, risk for cardiorespiratory fitness (CRF), high waist circumference, and CMRS, compared to the active. A prolonged screen time increased the odds for altered glucose and decreased the odds for altered TGs. In girls, inadequate sleep duration presented higher odds for overweight, obesity, risk for CRF, and high CMRS, compared to adequate sleep. CONCLUSION: Physical activity for boys and sleep duration for girls are important to maintain healthy metabolic health amongst youth.

How strong is the relationship between scabies and acute rheumatic fever? An analysis of neighbourhood factors.

AIM: Recent studies have linked scabies with acute rheumatic fever (ARF). We explored the relationship, by neighbourhood, between permethrin dispensing as an indicator of scabies prevalence and ARF cases over the same period. METHODS: Incident cases of ARF notified to public health between September 2015 and June 2018 and the annual incidence of prescribing by neighbourhood over the same period were analysed. Evidence of an association between permethrin and ARF was obtained by carrying out Poisson regression of the rate of ARF in terms of permethrin rate at the census area unit level, with adjustment for ethnicity and socio-economic deprivation. RESULTS: A total of 413 neighbourhoods were included. The incidence of ARF varied between 0 and 102 per 100 000 people per year (mean 4.3). In contrast, the annual incidence of dispensing of permethrin varied between 0 and 3201 per 100 000 people per year (mean 771). A strong association was observed between the two variables. In an adjusted quasi-Poisson model, permethrin-dispensing rates were strongly associated with ARF incidence, with a change from the 16th to the 84th centile associated with a 16.5-fold increase in incidence (95% confidence interval: 3.82-71.6). CONCLUSIONS: Permethrin prescribing as an indicator of scabies is strongly associated with the incidence of ARF. Considered together with other studies, this evidence suggests that improving scabies control may reduce the burden of ARF in New Zealand.

Bias in survival estimates created by a requirement for consent to enter a clinical breast cancer registry.

BACKGROUND: A requirement for consent for inclusion may bias the results from a clinical registry. This study gives a direct measure of this bias, based on a population-based clinical breast cancer registry where the requirement for consent was removed after further ethical review and data could be re-analysed. METHODS: In Auckland, New Zealand, the population-based clinical breast cancer registry required written patient consent for inclusion from 2000-2012. A subsequent ethical review removed this requirement and allowed an analysis of consented and non-consented patients. Kaplan-Meier survival to 10 years (mean follow-up 5.1 years, maximum 13.9 years), demographic and clinical characteristics were compared. Of 9244 women with invasive cancer, 926 (10.4%) were not consented, and of 1642 women with ductal carcinoma in situ, 245 (14.9%) were not consented. RESULTS: Survival was much higher for consenting patients; invasive cancer, 5 year survival 83.2% (95% confidence limits 82.2-84.1%) for consenting patients, 57.1% (53.0-60.9%) for non-consenting, and 80.8% in all patients. Analyses based only on consenting patients overestimate survival in all patients by around 2% at 2, 5, and 10 years. Non-consented patients were older, more often of Pacific ethnicity, had fewer screen-detected cancers, and more often had metastatic disease; they less frequently had primary surgery or systemic treatments. CONCLUSION: Data from a registry requiring active consent gives an upward bias in survival results, as non-consenting patients have more extensive disease, less treatment, and lower survival. To give unbiased results active consent should be not required in a clinical cancer registry.

Overview of model validation for survival regression model with competing risks using melanoma study data.

The article introduces how to validate regression models in the analysis of competing risks. The prediction accuracy of competing risks regression models can be assessed by discrimination and calibration. The area under receiver operating characteristic curve (AUC) or Concordance-index, and calibration plots have been widely used as measures of discrimination and calibration, respectively. One-time splitting method can be used for randomly splitting original data into training and test datasets. However, this method reduces sample sizes of both training and testing datasets, and the results can be different by different splitting processes. Thus, the cross-validation method is more appealing. For time-to-event data, model validation is performed at each analysis time point. In this article, we review how to perform model validation using the riskRegression package in R, along with plotting a nomogram for competing risks regression models using the regplot() package.

Development and validation of a new predictive model for breast cancer survival in New Zealand and comparison to the Nottingham prognostic index.

BACKGROUND: The only available predictive models for the outcome of breast cancer patients in New Zealand (NZ) are based on data in other countries. We aimed to develop and validate a predictive model using NZ data for this population, and compare its performance to a widely used overseas model, the Nottingham Prognostic Index (NPI). METHODS: We developed a model to predict 10-year breast cancer-specific survival, using data collected prospectively in the largest population-based regional breast cancer registry in NZ (Auckland, 9182 patients), and assessed its performance in this data set (internal validation) and in an independent NZ population-based series of 2625 patients in Waikato (external validation). The data included all women with primary invasive breast cancer diagnosed from 1 June 2000 to 30 June 2014, with follow up to death or Dec 31, 2014. We used multivariate Cox proportional hazards regression to assess predictors and to calculate predicted 10-year breast cancer mortality, and therefore survival, probability for each patient. We assessed observed survival by the Kaplan Meier method. We assessed discrimination by the C statistic, and calibration by comparing predicted and observed survival rates for patients in 10 groups ordered by predicted 10-year survival. We compared this NZ model with the Nottingham Prognostic Index (NPI) in this validation data set. RESULTS: Discrimination was good: C statistics were 0.84 for internal validity and 0.83 for an independent external validity. For calibration, for both internal and external validity the predicted 10-year survival probabilities in all groups of patients, ordered by predicted survival, were within the 95% confidence intervals (CI) of the observed Kaplan-Meier survival probabilities. The NZ model showed good discrimination even within the prognostic groups defined by the NPI. CONCLUSIONS: These results for the New Zealand model show good internal and external validity, transportability, and potential clinical value of the model, and its clear superiority over the NPI. Further research is needed to assess other potential predictors, to assess the model's performance in specific subgroups of patients, and to compare it to other models, which have been developed in other countries and have not yet been tested in NZ.

Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study.

BACKGROUND: Most cardiovascular disease risk prediction equations in use today were derived from cohorts established last century and with participants at higher risk but less socioeconomically and ethnically diverse than patients they are now applied to. We recruited a nationally representative cohort in New Zealand to develop equations relevant to patients in contemporary primary care and compared the performance of these new equations to equations that are recommended in the USA. METHODS: The PREDICT study automatically recruits participants in routine primary care when general practitioners in New Zealand use PREDICT software to assess their patients' risk profiles for cardiovascular disease, which are prospectively linked to national ICD-coded hospitalisation and mortality databases. The study population included male and female patients in primary care who had no prior cardiovascular disease, renal disease, or congestive heart failure. New equations predicting total cardiovascular disease risk were developed using Cox regression models, which included clinical predictors plus an area-based deprivation index and self-identified ethnicity. Calibration and discrimination performance of the equations were assessed and compared with 2013 American College of Cardiology/American Heart Association Pooled Cohort Equations (PCEs). The additional predictors included in new PREDICT equations were also appended to the PCEs to determine whether they were independent predictors in the equations from the USA. FINDINGS: Outcome events were derived for 401 752 people aged 30-74 years at the time of their first PREDICT risk assessment between Aug 27, 2002, and Oct 12, 2015, representing about 90% of the eligible population. The mean follow-up was 4·2 years, and a third of participants were followed for 5 years or more. 15 386 (4%) people had cardiovascular disease events (1507 [10%] were fatal, and 8549 [56%] met the PCEs definition of hard atherosclerotic cardiovascular disease) during 1 685 521 person-years follow-up. The median 5-year risk of total cardiovascular disease events predicted by the new equations was 2·3% in women and 3·2% in men. Multivariable adjusted risk increased by about 10% per quintile of socioeconomic deprivation. Maori, Pacific, and Indian patients were at 13-48% higher risk of cardiovascular disease than Europeans, and Chinese or other Asians were at 25-33% lower risk of cardiovascular disease than Europeans. The PCEs overestimated of hard atherosclerotic cardiovascular disease by about 40% in men and by 60% in women, and the additional predictors in the new equations were also independent predictors in the PCEs. The new equations were significantly better than PCEs on all performance metrics. INTERPRETATION: We constructed a large prospective cohort study representing typical patients in primary care in New Zealand who were recommended for cardiovascular disease risk assessment. Most patients are now at low risk of cardiovascular disease, which explains why the PCEs based mainly on old cohorts substantially overestimate risk. Although the PCEs and many other equations will need to be recalibrated to mitigate overtreatment of the healthy majority, they also need new predictors that include measures of socioeconomic deprivation and multiple ethnicities to identify vulnerable high-risk subpopulations that might otherwise be undertreated. FUNDING: Health Research Council of New Zealand, Heart Foundation of New Zealand, and Healthier Lives National Science Challenge.

Scabies is strongly associated with acute rheumatic fever in a cohort study of Auckland children.

AIM: This study sought to determine whether scabies infection is associated with acute rheumatic fever (ARF) or chronic rheumatic heart disease (CRHD). METHODS: A cohort study was undertaken using health records of children aged 3-12 years attending an oral health service for the first time. Subjects were then linked to hospital diagnoses of scabies and ARF or CRHD. RESULTS: A total of 213 957 children free of rheumatic heart disease at baseline were available for analysis. During a mean follow-up time of 5.1 years, 440 children were diagnosed with ARF or CRHD in hospital records. Children diagnosed with scabies during follow-up were 23 times more likely to develop ARF or CRHD, compared with children who had no scabies diagnosis. After adjustment for confounders in a Cox model, the association reduced but remained strong (adjusted hazard ratio: 8.98; 95% confidence interval: 6.33-20.2). In an analysis restricted to children hospitalised at least once during follow-up, the adjusted hazard ratio for the same comparison was 3.43 (95% confidence interval: 1.85-6.37). CONCLUSIONS: A recent diagnosis of scabies from hospital records is strongly associated with a subsequent diagnosis of ARF. Further investigation of the role that scabies infestation may play in the aetiology of ARF is warranted.

An observational study of how clinicians use cardiovascular risk assessment to inform statin prescribing decisions.

AIM: Cardiovascular disease (CVD) risk assessment is commonly recommended in guidelines, but there is uncertainty about how clinicians use this information. Our objective was to understand how New Zealand primary care clinicians use CVD risk assessment estimates to inform new statin prescribing. METHODS: We used a cohort of patients seen in primary care who have had a CVD risk estimated on the basis of a New Zealand modified Framingham risk equation. These patients were linked to national pharmaceutical dispensing records to determine new statin use in the following six months. Regression discontinuity and logistic regression analysis, and graphical approaches, were used to explore associations between estimated CVD risk and primary clinicians' decisions to initiate statin treatment. RESULTS: There were 76,571 patients aged 35 to 75 who were not on a statin, had a first recorded CVD risk assessment between July 2007 and June 2011, and for whom national guidelines recommended management on the basis of estimated CVD risk. Statin dispensing increased with increasing CVD risk. There was no evidence of sudden jumps in the proportions of patients dispensed statins at guideline recommended treatment threshold values of 15% and 20% CVD risk (P=0.314 and 0.731). A logistic regression model using the CVD risk score predicted statin initiation better than models using lipid measures (Area Under the Curve 0.725 versus 0.682). However, further modelling and graphical analysis suggested clinicians were using a range of other information to inform the initiation of statins. CONCLUSION: New Zealand primary care clinicians' statin prescribing decisions appear to be influenced by patients' predicted CVD risk. However, other factors are associated with increased statin dispensing independent of CVD risk score.

Developing a synthetic national population to investigate the impact of different cardiovascular disease risk management strategies: A derivation and validation study.

BACKGROUND: Many national cardiovascular disease (CVD) risk factor management guidelines now recommend that drug treatment decisions should be informed primarily by patients' multi-variable predicted risk of CVD, rather than on the basis of single risk factor thresholds. To investigate the potential impact of treatment guidelines based on CVD risk thresholds at a national level requires individual level data representing the multi-variable CVD risk factor profiles for a country's total adult population. As these data are seldom, if ever, available, we aimed to create a synthetic population, representing the joint CVD risk factor distributions of the adult New Zealand population. METHODS AND RESULTS: A synthetic population of 2,451,278 individuals, representing the actual age, gender, ethnicity and social deprivation composition of people aged 30-84 years who completed the 2013 New Zealand census was generated using Monte Carlo sampling. Each 'synthetic' person was then probabilistically assigned values of the remaining cardiovascular disease (CVD) risk factors required for predicting their CVD risk, based on data from the national census national hospitalisation and drug dispensing databases and a large regional cohort study, using Monte Carlo sampling and multiple imputation. Where possible, the synthetic population CVD risk distributions for each non-demographic risk factor were validated against independent New Zealand data sources. CONCLUSIONS: We were able to develop a synthetic national population with realistic multi-variable CVD risk characteristics. The construction of this population is the first step in the development of a micro-simulation model intended to investigate the likely impact of a range of national CVD risk management strategies that will inform CVD risk management guideline updates in New Zealand and elsewhere.

Low sugar nutrition policies and dental caries: A study of primary schools in South Auckland.

AIM: The study assessed whether a healthy food policy implemented in one school, Yendarra Primary, situated in a socio-economically deprived area of South Auckland, had improved student oral health by comparing dental caries levels with students of similar schools in the same region with no such policy. METHODS: Records of caries of the primary and adult teeth were obtained between 2007 and 2014 for children attending Yendarra, and were compared to those of eight other public schools in the area, with a similar demographic profile. Children were selected between the ages of 8 and 11 years. Linear regression models were used to estimate the strength of association between attending Yendarra school and dental caries. RESULTS: During the study period, 3813 records were obtained of children who attended dental examinations and the schools of interest. In a linear model, mean number of carious primary and adult teeth were 0.37 lower (95% confidence interval: 0.09-0.65) in Yendarra school children, compared to those in other schools, after adjustment for confounders. Pacific students had higher numbers of carious teeth (adjusted ß coefficient: 0.25; 95% confidence interval: 0.03-0.46) than Maori. CONCLUSION: This nutrition policy, implemented in a school in the poorest region of South Auckland, which restricted sugary food and drink availability, was associated with a marked positive effect on the oral health of students, compared to students in surrounding schools. We recommend that such policies are a useful means of improving child oral health.

Sugar, dental caries and the incidence of acute rheumatic fever: a cohort study of Maori and Pacific children.

OBJECTIVE: To determine whether dental caries, as an indicator of cumulative exposure to sugar, is associated with the incidence of acute rheumatic fever and chronic rheumatic heart disease, in Maori and Pacific children aged 5 and 6 years at their first dental visit. MATERIALS AND METHODS: A cohort study was undertaken which linked school dental service records of caries with national hospital discharge and mortality records. Cox models were used to investigate the strength of the association between dental caries and rheumatic fever incidence. RESULTS: A total of 20 333 children who were free of rheumatic heart disease at enrolment were available for analysis. During a mean follow-up time of 5 years, 96 children developed acute rheumatic fever or chronic rheumatic heart disease. After adjustment for potential confounders, children with five or more primary teeth affected by caries were 57% (95% CI: 20% to 106%) more likely to develop disease during follow-up, compared to children whose primary teeth were caries free. The population attributable to the risk for caries in this cohort was 22%. CONCLUSIONS: Dental caries is positively associated with the incidence of acute rheumatic fever and chronic rheumatic heart disease in Maori and Pacific children. Sugar intake, an important risk factor for dental caries, is also likely to influence the aetiology of rheumatic fever.

"Who matters most?": Clinician perspectives of influence and recommendation on home dialysis uptake.

AIM: There is little research exploring the association between clinicians' behaviours and home dialysis uptake. This paper aims to better understand the influence of clinicians on home dialysis modality recommendations and uptake. METHODS: Online survey of all NZ renal units to determine the influence of individuals within pre-dialysis teams. We used the self-declaration scale of influence to rate the identified member's perceived influence on decision-making. We used this measure of 'decisional power' to compare the perceived influence of pre-dialysis nurses with nephrologists using both parametric and non-parametric methods. We developed a generalized linear model to investigate the relationship between the influence of nephrologists and pre-dialysis nurses with home dialysis uptake by individual centre using additional data from Australian and New Zealand Dialysis and Transplant Registry (ANZDATA). Finally, respondents rated the importance of a list of patient and service-level factors in recommendations for home dialysis. RESULTS: Data suggest the nephrologists are the most influential member of the pre-dialysis team. This contrasts with perceptions of survey respondents who view pre-dialysis nurses as most influential. Nephrologists' recommendations are likely to be a successful way of increasing home dialysis. A single point increase in nephrologist decisional power is associated with a 6.1% increase in the prevalence of home dialysis. CONCLUSION: The decisional power around home dialysis in NZ sits with nephrologists. It is therefore critical that nephrologists exercise their decisional power in advocating home dialysis and address reasons why they may not recommend home dialysis to well-suited and appropriate patients.

Lack of housing, hospital treatment and premature mortality: a cohort study of people in Counties Manukau district.

AIM: We considered risk factors for mortality in people admitted to Counties Manukau inpatient facilities, who were also identified by medical staff to have insufficient housing. METHOD: A cohort study of people aged 15 to 75 years admitted to Counties Manukau inpatient facilities were selected between 2002 and 2014, with ICD-10 codes for insufficient housing. Diagnostic records identified people with substance use and other clinical conditions. Mortality records were used to track survival. RESULTS: During the study period, 1,182 individuals were identified, 126 (10.7%) of whom died during a median follow-up of 5.7 years. Median survival of the cohort was 63.5 years (95% confidence interval (CI): 58.7 to 69.9) which is about 20 years less than the general population. Of the cohort, the strongest associations with premature mortality were among people with cannabis-related disorders (adjusted hazard ratio [aHR] 2.15; 95% CI: 1.10 to 4.22), diabetes (aHR 1.75; 95% CI: 1.05 to 2.93) and Maaori, compared to European and other ethnic groups, except Asian and Pacific (aHR 1.80; 95% CI: 1.14 to 2.85). CONCLUSION: This population has high mortality. Within this group, Maori and people diagnosed with substance use and diabetes are at even higher risk of premature death.

Status of cardiovascular health among adults in a rural area of Northwest China: Results from a cross-sectional study.

The aim of this study was to assess the status of cardiovascular health among a rural population in Northwest China and to determine the associated factors for cardiovascular health.A population-based cross-sectional study was conducted in the rural areas of Hanzhong in Northwest China. Interview, physical examination, and fasting blood glucose and lipid measurements were completed for 2693 adults. The construct of cardiovascular health and the definitions of cardiovascular health metrics proposed by the American Heart Association were used to assess cardiovascular health. The proportions of subjects with cardiovascular health metrics were calculated, adjusting for age and sex. The multiple logistic regression model was used to evaluate the association between ideal cardiovascular health and its associated factors.Only 0.5% (0.0% in men vs 0.9% in women, P = 0.002) of the participants had ideal cardiovascular health, whereas 33.8% (18.0% in men vs 50.0% in women, P < 0.001) and 65.7% (82.0% in men vs 49.1% in women, P < 0.001) of the participants had intermediate and poor cardiovascular health, respectively. The prevalence of poor cardiovascular health increased with increasing age (P < 0.001 for trend). Participants fulfilled, on average, 4.4 (95% confidence interval: 4.2-4.7) of the ideal cardiovascular health metrics. Also, 22.2% of the participants presented with 3 or fewer ideal metrics. Only 19.4% of the participants presented with 6 or more ideal metrics. 24.1% of the participants had all 4 ideal health factors, but only 1.1% of the participants had all 4 ideal health behaviors. Women were more likely to have ideal cardiovascular health, whereas adults aged 35 years or over and those who had a family history of hypertension were less likely to have ideal cardiovascular health.The prevalence of ideal cardiovascular health was extremely low among the rural population in Northwest China. Most adults, especially men and the elderly, had a poor cardiovascular health status. To improve cardiovascular health among the rural population, efforts, especially lifestyle improvements, education and interventions to make healthier food choices, reduce salt intake, increase physical activities, and cease smoking, will be required at the individual, population, and social levels.

Ethnic differences in case fatality following an acute ischaemic heart disease event in New Zealand: ANZACS-QI 13.

BACKGROUND: The aim of this study was to investigate ischaemic heart disease (IHD) case fatality in high-risk ethnic populations in New Zealand. DESIGN: This is a national data-linkage study using anonymised hospitalisation and mortality data. METHODS: Linked individual patient data were used to identify 35-84-year-olds who experienced IHD events (acute IHD hospitalisations and/or deaths) in 2009-2010. Subjects were classified as: (i) hospitalised with IHD and alive at 28 days post-event; (ii) hospitalised with IHD and died within 28 days; (iii) hospitalised with a non-IHD diagnosis and died from IHD within 28 days; or (iv) died from IHD but not hospitalised. Multinomial logistic regression was used to estimate the proportion of people in each group, as well as overall 28-day case fatality, adjusted for ethnic differences in demographic and comorbidity profiles. RESULTS: A total of 26,885 people experienced IHD events (11.3% Maori, 4.0% Pacific and 2.5% Indian); 3.3% of people died within 28 days of IHD hospitalisations, 5.1% died of IHD within 28 days of non-IHD hospitalisations and 13.0% died of IHD without any recent hospitalisation. Overall adjusted case fatality was 12.6% in Indian, 20.5% in European, 26.0% in Pacific and 27.6% in Maori people. Compared to Europeans, the adjusted odds of death were approximately 50% higher in Maori and Pacific people and 50% lower in Indians, regardless of whether they were hospitalised. CONCLUSIONS: Major ethnic inequalities in IHD case fatality occur with and without associated hospitalisations. Improvements in both primary prevention and hospital care will be required to reduce inequalities.