Journal of perinatal medicine · 2024
Social vulnerability and prenatal diagnosis.
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Kouba Insaf, Del Pozzo Jaclyn, Alvarez Alejandro, Keller Nathan A, Palmer Alexis, Bracero Luis A, Blitz Matthew J
Аннотация
OBJECTIVES: There are limited data on how neighborhood-level risk factors affect the likelihood of having prenatal diagnosis. Neighborhood social vulnerability can be quantified and ranked using the social vulnerability index (SVI), a tool that measures the cumulative effect of external stressors in the local environment that may affect health outcomes. The objective of the study was to determine the relationship between SVI and prenatal diagnosis among pregnant patients who received genetic counseling.
METHODS: Retrospective cohort study of all pregnant patients who had genetic counseling at two hospitals in New York between January 2019 and December 2022. For each patient, the address of residence was linked to an SVI score (primary exposure) based on census tract. SVI scores were subdivided into fifths and analyzed categorically. The primary outcome was prenatal diagnosis (yes/no). Multivariable logistic regression was performed.
RESULTS: A total of 5,935 patients were included for analysis and 231 (3.9 %) had prenatal diagnosis. On regression analysis, no association between SVI and prenatal diagnosis was observed. Patients who had a diagnostic procedure were more likely to be English speaking (aOR 1.80; 95 % CI 1.13-2.87), carriers of a genetic disorder (aOR 1.94; 95 % CI 1.32-2.86), had increased NT (aOR 6.89; 95 % CI 3.65-13.00), abnormal NIPS (aOR 9.58; 95 % CI 5.81-15.80), or had fetal structural anomalies (aOR 10.60; 95 % CI 6.62-16.96). No differences were seen based on race and ethnicity group, insurance type, or marital status.
CONCLUSIONS: SVI score does not affect rate of prenatal diagnosis. Findings may differ in other geographic regions and populations.
METHODS: Retrospective cohort study of all pregnant patients who had genetic counseling at two hospitals in New York between January 2019 and December 2022. For each patient, the address of residence was linked to an SVI score (primary exposure) based on census tract. SVI scores were subdivided into fifths and analyzed categorically. The primary outcome was prenatal diagnosis (yes/no). Multivariable logistic regression was performed.
RESULTS: A total of 5,935 patients were included for analysis and 231 (3.9 %) had prenatal diagnosis. On regression analysis, no association between SVI and prenatal diagnosis was observed. Patients who had a diagnostic procedure were more likely to be English speaking (aOR 1.80; 95 % CI 1.13-2.87), carriers of a genetic disorder (aOR 1.94; 95 % CI 1.32-2.86), had increased NT (aOR 6.89; 95 % CI 3.65-13.00), abnormal NIPS (aOR 9.58; 95 % CI 5.81-15.80), or had fetal structural anomalies (aOR 10.60; 95 % CI 6.62-16.96). No differences were seen based on race and ethnicity group, insurance type, or marital status.
CONCLUSIONS: SVI score does not affect rate of prenatal diagnosis. Findings may differ in other geographic regions and populations.