Dataset Information

The MOSART database: linking the SART CORS clinical database to the population-based Massachusetts PELL reproductive public health data system.

ABSTRACT: Although Assisted Reproductive Technology (ART) births make up 1.6 % of births in the US, the impact of ART on subsequent infant and maternal health is not well understood. Clinical ART treatment records linked to population data would be a powerful tool to study long term outcomes among those treated or not by ART. This paper describes the development of a database intended to accomplish this task. We constructed the Massachusetts Outcomes Study of Assisted Reproductive Technology (MOSART) database by linking the Society of Assisted Reproductive Technologies Clinical Outcomes Reporting System (SART CORS) and the Massachusetts (MA) Pregnancy to Early Life Longitudinal (PELL) data systems for children born to MA resident women at MA hospitals between July 2004 and December 2008. PELL data representing 282,971 individual women and their 334,152 deliveries and 342,035 total births were linked with 48,578 cycles of ART treatment in SART CORS delivered to MA residents or women receiving treatment in MA clinics, representing 18,439 eligible women of whom 9,326 had 10,138 deliveries in this time period. A deterministic five phase linkage algorithm methodology was employed. Linkage results, accuracy, and concordance analyses were examined. We linked 9,092 (89.7 %) SART CORS outcome records to PELL delivery records overall, including 95.0 % among known MA residents treated in MA clinics; 70.8 % with full exact matches. There were minimal differences between matched and unmatched delivery records, except for unknown residency and out-of-state ART site. There was very low concordance of reported use of ART treatment between SART CORS and PELL (birth certificate) data. A total of 3.4 % of MA children (11,729) were identified from ART assisted pregnancies (6,556 singletons; 5,173 multiples). The MOSART linked database provides a strong basis for further longitudinal ART outcomes studies and supports the continued development of potentially powerful linked clinical-public health databases.

SUBMITTER: Kotelchuck M

PROVIDER: S-EPMC4342616 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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The MOSART database: linking the SART CORS clinical database to the population-based Massachusetts PELL reproductive public health data system.

Kotelchuck Milton M Hoang Lan L Stern Judy E JE Diop Hafsatou H Belanoff Candice C Declercq Eugene E

Maternal and child health journal 20141101 9

Although Assisted Reproductive Technology (ART) births make up 1.6 % of births in the US, the impact of ART on subsequent infant and maternal health is not well understood. Clinical ART treatment records linked to population data would be a powerful tool to study long term outcomes among those treated or not by ART. This paper describes the development of a database intended to accomplish this task. We constructed the Massachusetts Outcomes Study of Assisted Reproductive Technology (MOSART) data ...[more]

PMID: 24623195

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Project description:PurposeTo develop and validate a prediction score for having 2 or more embryos cryopreserved following an IVF cycle without a fresh transfer such that an embryo selection method may be applicable. We also developed a counseling tool on the probability of not having any embryos following an IVF cycle without a fresh transfer.MethodsWe split the data into a development set and a validation set by region within the USA using a coin flip approach and subsequently performed a logistic regression model to identify factors most predictive of cryopreservation of 2 or more embryos in the development set. This model was validated in the validation set. Subsequently, a clinical prediction score was derived using the model coefficients and the predictive accuracy measured with the concordance (c) statistic.ResultsA total of 31,537 potential freeze-all cycles were reported to the Society for Assisted Reproductive Technology in 2014. Of these, 57.87% produced and cryopreserved two or more embryos. We identified that age, AMH, and the number of eggs retrieved were the most significant predictors of having 2 or more embryos cryopreserved with a validated c-statistic of 0.84 (95% CI: 0.83 to 0.85). A clinical prediction score was derived from the model. 28.9% of freeze-all cycles had no embryos created from the IVF cycle despite a cycle start and an egg retrieval. The number of eggs retrieved was the most significant predictor of having no embryos available for a transfer, with a c-statistic of 0.80 when modeled as the only predictor variable.ConclusionWe derived counseling tools with acceptable discrimination for use in clinical practice (c-statistics > 0.7). Our study further suggests that the number of eggs retrieved from an IVF cycle is most predictive of having 2 or more embryos cryopreserved and not having any embryos after an IVF cycle, suggesting that clinicians should strive to optimize oocyte yield especially in poor prognosis patients. The probability of having two more embryos cryopreserved in a freeze-all IVF cycle such that an embryo selection method is applicable can be predicted with acceptable precision prior to the IVF cycle and excellent precision following egg retrieval using the prediction score.

Project description:Influenza virus tissue tropism defines the host cells and tissues that support viral replication and contributes to determining which regions of the respiratory tract are infected in humans. The location of influenza virus infection along the respiratory tract is a key determinant of virus pathogenicity and transmissibility, which are at the basis of influenza burdens in the human population. As the pathogenicity and transmissibility of influenza virus ultimately determine its reproductive fitness at the population level, strong selective pressures will shape influenza virus tissue tropisms that maximize fitness. At present, the relationships between influenza virus tissue tropism within hosts and reproductive fitness at the population level are poorly understood. The selective pressures and constraints that shape tissue tropism and thereby influence the location of influenza virus infection along the respiratory tract are not well characterized. We use mathematical models that link within-host infection dynamics in a spatially-structured human respiratory tract to between-host transmission dynamics, with the aim of characterizing the possible selective pressures on influenza virus tissue tropism. The results indicate that spatial heterogeneities in virus clearance, virus pathogenicity or both, resulting from the unique structure of the respiratory tract, may drive optimal receptor binding affinity--that maximizes influenza virus reproductive fitness at the population level--towards sialic acids with ?2,6 linkage to galactose. The expanding cell pool deeper down the respiratory tract, in association with lower clearance rates, may result in optimal infectivity rates--that likewise maximize influenza virus reproductive fitness at the population level--to exhibit a decreasing trend towards deeper regions of the respiratory tract. Lastly, pre-existing immunity may drive influenza virus tissue tropism towards upper regions of the respiratory tract. The proposed framework provides a new template for the cross-scale study of influenza virus evolutionary and epidemiological dynamics in humans.

Dataset Information

The MOSART database: linking the SART CORS clinical database to the population-based Massachusetts PELL reproductive public health data system.

Publications

The MOSART database: linking the SART CORS clinical database to the population-based Massachusetts PELL reproductive public health data system.

Similar Datasets

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