Assisted Reproductive Technology and Perinatal Mortality: Selected States (2006-2011).

OBJECTIVE: This study aimed to compare trends and characteristics of assisted reproductive technology (ART) and non-ART perinatal deaths and to evaluate the association of perinatal mortality and method of conception (ART vs. non-ART) among ART and non-ART deliveries in Florida, Massachusetts, and Michigan from 2006 to 2011. STUDY DESIGN: Retrospective cohort study using linked ART surveillance and vital records data from Florida, Massachusetts, and Michigan. RESULTS: During 2006 to 2011, a total of 570 ART-conceived perinatal deaths and 25,158 non-ART conceived perinatal deaths were identified from the participating states. Overall, ART perinatal mortality rates were lower than non-ART perinatal mortality rates for both singletons (7.0/1,000 births vs. 10.2/1,000 births) and multiples (22.8/1,000 births vs. 41.2/1,000 births). At <28 weeks of gestation, the risk of perinatal death among ART singletons was significantly lower than non-ART singletons (adjusted risk ratio [aRR] = 0.46, 95% confidence interval [CI]: 0.26-0.85). Similar results were observed among multiples at <28 weeks of gestation (aRR = 0.64, 95% CI: 0.45-0.89). CONCLUSION: Our findings suggest that ART use is associated with a decreased risk of perinatal deaths prior to 28 weeks of gestation, which may be explained by earlier detection and management of fetal and maternal conditions among ART-conceived pregnancies. These findings provide valuable information for health care providers, including infertility specialists, obstetricians, and pediatricians when counseling ART users on risk of treatment. KEY POINTS: · ART use is associated with a decreased risk of perinatal deaths prior to 28 weeks of gestation.. · ART perinatal mortality rates were lower than that for non-ART perinatal mortality.. · This study used linked data to examine associations between use of ART and perinatal deaths..

Prevalence of selected birth defects by maternal nativity status, United States, 1999-2007.

OBJECTIVES: We investigated differences in prevalence of major birth defects by maternal nativity within racial/ethnic groups for 27 major birth defects. METHODS: Data from 11 population-based birth defects surveillance systems in the United States including almost 13 million live births (approximately a third of U.S. births) during 1999-2007 were pooled. We calculated prevalence estimates for each birth defect for five racial/ethnic groups. Using Poisson regression, crude and adjusted prevalence ratios (aPRs) were also calculated using births to US-born mothers as the referent group in each racial/ethnic group. RESULTS: Approximately 20% of case mothers and 26% of all mothers were foreign-born. Elevated aPRs for infants with foreign-born mothers were found for spina bifida and trisomy 13, 18, and 21, while lower prevalence patterns were found for pyloric stenosis, gastroschisis, and hypospadias. CONCLUSIONS: This study demonstrates that birth defects prevalence varies by nativity within race/ethnic groups, with elevated prevalence ratios for some specific conditions and lower prevalence for others. More detailed analyses focusing on a broader range of maternal behaviors and characteristics are required to fully understand the implications of our findings.

Racial/ethnic differences in survival of United States children with birth defects: a population-based study.

OBJECTIVES: To examine racial/ethnic-specific survival of children with major birth defects in the US. STUDY DESIGN: We pooled data on live births delivered during 1999-2007 with any of 21 birth defects from 12 population-based birth defects surveillance programs. We used the Kaplan-Meier method to calculate cumulative survival probabilities and Cox proportional hazards models to estimate mortality risk. RESULTS: For most birth defects, there were small-to-moderate differences in neonatal (<28 days) survival among racial/ethnic groups. However, compared with children born to non-Hispanic white mothers, postneonatal infant (28 days to <1 year) mortality risk was significantly greater among children born to non-Hispanic black mothers for 13 of 21 defects (hazard ratios [HRs] 1.3-2.8) and among children born to Hispanic mothers for 10 of 21 defects (HRs 1.3-1.7). Compared with children born to non-Hispanic white mothers, a significantly increased childhood (≤ 8 years) mortality risk was found among children born to Asian/Pacific Islander mothers for encephalocele (HR 2.6), tetralogy of Fallot, and atrioventricular septal defect (HRs 1.6-1.8) and among children born to American Indian/Alaska Native mothers for encephalocele (HR 2.8), whereas a significantly decreased childhood mortality risk was found among children born to Asian/Pacific Islander mothers for cleft lip with or without cleft palate (HR 0.6). CONCLUSION: Children with birth defects born to non-Hispanic black and Hispanic mothers carry a greater risk of mortality well into childhood, especially children with congenital heart defect. Understanding survival differences among racial/ethnic groups provides important information for policy development and service planning.

Cancer treatment disparities in HIV-infected individuals in the United States.

PURPOSE: HIV-infected individuals with cancer have worse survival rates compared with their HIV-uninfected counterparts. One explanation may be differing cancer treatment; however, few studies have examined this. PATIENTS AND METHODS: We used HIV and cancer registry data from Connecticut, Michigan, and Texas to study adults diagnosed with non-Hodgkin's lymphoma, Hodgkin's lymphoma, or cervical, lung, anal, prostate, colorectal, or breast cancers from 1996 to 2010. We used logistic regression to examine associations between HIV status and cancer treatment, adjusted for cancer stage and demographic covariates. For a subset of local-stage cancers, we used logistic regression to assess the relationship between HIV status and standard treatment modality. We identified predictors of cancer treatment among individuals with both HIV and cancer. RESULTS: We evaluated 3,045 HIV-infected patients with cancer and 1,087,648 patients with cancer without HIV infection. A significantly higher proportion of HIV-infected individuals did not receive cancer treatment for diffuse large B-cell lymphoma (DLBCL; adjusted odds ratio [aOR], 1.67; 95% CI, 1.41 to 1.99), lung cancer (aOR, 2.18; 95% CI, 1.80 to 2.64), Hodgkin's lymphoma (aOR, 1.77; 95% CI, 1.33 to 2.37), prostate cancer (aOR, 1.79; 95% CI, 1.31 to 2.46), and colorectal cancer (aOR, 2.27; 95% CI, 1.38 to 3.72). HIV infection was associated with a lack of standard treatment modality for local-stage DLBCL (aOR, 2.02; 95% CI, 1.50 to 2.72), non-small-cell lung cancer (aOR, 2.43; 95% CI, 1.46 to 4.03), and colon cancer (aOR, 4.77; 95% CI, 1.76 to 12.96). Among HIV-infected individuals, factors independently associated with lack of cancer treatment included low CD4 count, male sex with injection drug use as mode of HIV exposure, age 45 to 64 years, black race, and distant or unknown cancer stage. CONCLUSION: HIV-infected individuals are less likely to receive treatment for some cancers than uninfected people, which may affect survival rates.

Disparities of cancer incidence in Michigan's American Indians: spotlight on breast cancer.

BACKGROUND: In American Indians (AIs), cancer is a leading cause of mortality, yet their disease burden is not fully understood due to unaddressed racial misclassification in cancer registries. This study describes cancer trends among AIs in Michigan, focusing on breast cancer, in a linked data set of Indian Health Service (IHS), tribal, and state cancer registry data adjusted for misclassification. METHODS: AI status was based on reported race and linkage to IHS data and tribal registries. Data with complete linkage on all incident cancer cases in Michigan from 1995 to 2004 was used to calculate age-standardized incidence estimates for invasive all-site and female breast cancers stratified by racial group. For female breast cancers, stage- and age-specific incidence and percent distributions of early- versus late-stage cancers and age of diagnosis were calculated. RESULTS: More than 50% of all AI cases were identified through IHS and/or tribal linkage. In the linked data, AIs had the lowest rates of all-sites and breast cancer. For breast cancers, AI women had a greater late-stage cancer burden and a younger mean age of diagnosis as compared to whites. Although the age-specific rate for whites was greater than for AI women in nearly all age groups, the difference in hazard ratio increased with increasing age. CONCLUSIONS: Our state-specific information will help formulate effective, tailored cancer prevention strategies to this population in Michigan. The data linkages used in our study are crucial for generating accurate rates and can be effective in addressing misclassification of the AI population and formulating cancer prevention strategies for AI nationwide.

Pregnancy recruitment for population research: the National Children's Study vanguard experience in Wayne County, Michigan.

BACKGROUND: To obtain a probability sample of pregnancies, the National Children's Study conducted door-to-door recruitment in randomly selected neighbourhoods in randomly selected counties in 2009-10. In 2011, an experiment was conducted in 10 US counties, in which the two-stage geographic sample was maintained, but participants were recruited in prenatal care provider offices. We describe our experience recruiting pregnant women this way in Wayne County, Michigan, a county where geographically eligible women attended 147 prenatal care settings, and comprised just 2% of total county pregnancies. METHODS: After screening for address eligibility in prenatal care offices, we used a three-part recruitment process: (1) providers obtained permission for us to contact eligible patients, (2) clinical research staff described the study to women in clinical settings, and (3) survey research staff visited the home to consent and interview eligible women. RESULTS: We screened 34,065 addresses in 67 provider settings to find 215 eligible women. Providers obtained permission for research contact from 81.4% of eligible women, of whom 92.5% agreed to a home visit. All home-visited women consented, giving a net enrolment of 75%. From birth certificates, we estimate that 30% of eligible county pregnancies were enrolled, reaching 40-50% in the final recruitment months. CONCLUSIONS: We recruited a high fraction of pregnancies identified in a broad cross-section of provider offices. Nonetheless, because of time and resource constraints, we could enrol only a fraction of geographically eligible pregnancies. Our experience suggests that the probability sampling of pregnancies for research could be more efficiently achieved through sampling of providers rather than households.

Pregnancy and birth outcome improvements for American Indians in the Healthy Start project of the Inter-Tribal Council of Michigan, 1998-2008.

American Indians living in Michigan experience disproportionately high rates of infant mortality. This 11-year (1998-2008) cohort study evaluated impacts of a Healthy Start (HS) program administered by the Inter-Tribal Council of Michigan (ITCM) on perinatal outcomes. Women who enrolled in ITCM's HS program ("exposed") were compared with non-enrolled ("unexposed") for four outcomes: low birth weight (LBW), small for gestational age, preterm birth, and inadequate prenatal care. To classify exposed and unexposed women and their children, Michigan vital records data were linked with HS enrollment records to identify participants and non-participants among all American Indian births. Logistic regression was used to calculate odds ratios for the four outcomes of interest. Analyses were stratified for high and low access to care based on Medically Underserved Area (MUA) designation for a woman's county of residence. Of 4,149 American Indian births during the period, 872 were to women who enrolled prenatally in HS. Although unstratified analysis showed no differences between HS participants and non-participants, stratified analyses demonstrated that participants from MUA counties had decreased odds of LBW and inadequate prenatal care. Results suggest that in MUA counties where participants and non-participants are at similar risk for poor outcomes, HS may be reducing barriers and improving outcomes. In non-MUA counties participants had similar outcomes as non-participants. These results may reflect a wider disparity in risk factors between the two groups in non-MUA counties. The complex interplay among need, access, and benefit complicates analyses and suggests the importance of more in-depth and focused studies.

Tribal linkage and race data quality for American Indians in a state cancer registry.

BACKGROUND: Racial misclassification of American Indian and Alaska Native (AI/AN) individuals as non-AI/AN in cancer registries presents problems for cancer surveillance, research, and public health practice. The aim of this study was to investigate the efficiency of tribal linkages in enhancing the quality of racial information in state cancer registries. METHODS: Registry Plus Link Plus 2.0 probabilistic record linkage software was used to link the Michigan state cancer registry data (1985-2004; 1,031,168 cancer cases) to the tribal membership roster (40,340 individuals) in July of 2007. A data set was created containing AI/AN cancer cases identified by the state registry, Indian Health Service (IHS) linkages, and tribal linkage. The differences between these three groups of individuals were compared by distribution of demographic, diagnostic, and county-level characteristics using multilevel analysis (conducted in 2007-2008). RESULTS: From 1995 to 2004, the tribal enrollment file showed linkages to 670 cancer cases (583 individuals) and the tribal linkage led to the identification of 190 AI/AN cancer cases (168 individuals) that were classified as non-AI/AN in the registry. More than 80% of tribal members were reported as non-AI/AN to the registry. Individuals identified by IHS or tribal linkages were different from those reported to be AI/AN in terms of stage at diagnosis, tumor confirmation, and characteristics of the county of diagnosis, including contract health services availability, tribal health services availability, and proportion of AI/AN residents. CONCLUSIONS: The data linkage between tribal and state cancer registry data sets improved racial classification validity of AI/AN Michigan cancer cases. Assessing tribal linkages is a simple, noninvasive way to improve the accuracy of state cancer data for AI/AN populations and to generate tribe-specific cancer information.

Using birth defects registry data to evaluate infant and childhood mortality associated with birth defects: an alternative to traditional mortality assessment using underlying cause of death statistics.

BACKGROUND: Although birth defects are a leading cause of death in infancy and early childhood, the proportion of all deaths to children with clinically diagnosed birth defects is not well documented. The study is intended to measure the proportion of all deaths to infants and children under age 10 occurring to children with birth defects and how and why this proportion differs from the proportion of deaths due to an underlying cause of congenital anomalies using standard mortality statistics. METHODS: A linked file of Michigan livebirths and deaths was combined with data from a comprehensive multisource birth defects registry of Michigan livebirths born during the years 1992 through 2000. The data were analyzed to determine the mortality rate for infants and children with birth defects and for children with no reported birth defect. Mortality risk ratios were calculated. The underlying causes of death for children with birth defects were also categorized and compared to cause- specific mortality rates for the general population. RESULTS: Congenital anomalies were the underlying cause of death for 17.8% of all infant deaths while infants with birth defects were 33.7% of all infant deaths in the study. Almost half of all Michigan deaths to children aged 1 to 2 were within the birth defects registry, though only 15.0% had an underlying cause of death of a congenital anomaly based upon standard mortality statistics. The mortality experience among children with birth defects was significantly higher than other children throughout the first 9 years of life, ranging from 4.6 for 5 year olds to 12.8 for children 1 to 2. Mortality risk ratios examined by cause of death for infants with birth defects were highest for other endocrine (28.1), other CNS (28.1), and heart (21.9) conditions. For children 1 through 9, the highest differential risk was seen for other perinatal conditions (39.0), other endocrine (29.7), other CNS (24.5), and heart (21.4). CONCLUSIONS: Childhood mortality analyses that incorporate birth defects registry data provide a more comprehensive picture of the full burden of birth defects on mortality in infant and children and can provide an effective mechanism for monitoring the survival and mortality risks of children with selected birth defects on a population basis.