scholarly journals Underestimation of Trisomy 18 and 13 Syndromes in Vital Statistics from Inadequate Death Certificates

Neonatology ◽  
2021 ◽  
pp. 1-2
Author(s):  
Kohei Takashima ◽  
Masahito Hitosugi
2017 ◽  
Vol 34 (11) ◽  
pp. 1054-1057
Author(s):  
Kayli Senz ◽  
Whitney Humphrey ◽  
Vanessa Lee ◽  
Aaron Caughey ◽  
Sarah Dotters-Katz

Objective Characterize the impact of a trisomy 18 (T18) fetus on maternal and obstetric outcomes in a cohort including T18-affected deliveries. Study Design Retrospective cohort study of singleton deliveries in California from 2005 to 2008 using linked vital statistics and the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) data to compare deliveries affected by T18 to those without known aneuploidy. Outcomes of interest included gestational diabetes mellitus (GDM), preterm delivery (PTD), preeclampsia, cesarean delivery (CD), and intrauterine fetal demise (IUFD). The χ2 and paired t-tests were used to compare the outcomes. Multiple logistic regression was used to further characterize these risks and control potential confounders. Results Of 2,029,000 deliveries, 298 involved T18. Compared with unaffected deliveries, T18 was associated with GDM (10.7 vs. 6.5%, p = 0.003), PTD < 37 (40.6 vs. 9.9%, p < 0.001) and < 32 weeks (14.8 vs. 1.4%, p < 0.001), and cesarean section (56 vs. 30.2%, p < 0.001), but not preeclampsia. In adjusted analyses, T18 pregnancies were associated with an increased risk of PTD < 37 and < 32 weeks (adjusted odds ratio [AOR]: 5.48, 95% confidence interval [CI]: 4.29, 6.99; AOR: 10.4, 95% CI: 7.26, 14.8), and an increased odd of CD for primiparous and multiparous women (AOR: 2.41, 95% CI: 1.48, 3.91; AOR: 5.42, 95% CI: 3.90, 7.53). Risk of GDM did not persist. Conclusion Unlike trisomy 13 (T13), pregnancies complicated by fetal T18 did not appear to result in an increased risk of preeclampsia. However, there is an increased risk of a range of other obstetric complications.


Neonatology ◽  
2021 ◽  
pp. 1-7
Author(s):  
Maiko Suto ◽  
Tetsuya Isayama ◽  
Naho Morisaki

<b><i>Introduction:</i></b> Despite changes in prenatal diagnostic methods and perceptions regarding the prognosis of and treatment options for patients with trisomy 18 syndrome, data on the secular changes in patient survival are limited. This study aimed to investigate the survival pattern for such patients. <b><i>Methods:</i></b> To investigate the general patient survival patterns, we used data from the vital statistics database of deaths in Japan from 1975 to 2016. We described demographic factors, such as sex, gestational age at delivery, and surgical history, for patients whose primary cause of death was trisomy 18 syndrome. <b><i>Results:</i></b> The proportions of deaths within 24 h of birth (4.0% in 1975–1980 to 21.9% in 2011–2016) and at age ≥1 year (8.9% in 1975–1980 to 17.7% in 2011–2016) increased. The median survival time was higher for females, infants born after 37 weeks of gestation, and those who received surgical intervention. The median survival time tripled among patients who received surgical intervention (61.5 days in 1995–2005 to 182.5 days in 2006–2016), and the proportion of such patients increased (from 3.8% in 1995 to 24.1% of the entire affected population in 2016). <b><i>Discussion/Conclusion:</i></b> In Japan, the median survival time of infants with trisomy 18 increased over time, and the proportion of death within 24 h and at ≥1 year increased. Greater acknowledgement of the possible benefits of surgical intervention likely led to the increased provision of interventions and contributed to the increased survival time.


2021 ◽  
Vol 111 (S2) ◽  
pp. S126-S132
Author(s):  
Desi Small-Rodriguez ◽  
Randall Akee

Objectives. To determine the impact of disaggregated mortality and health surveillance data on the ability to identify health disparities for American Indian and Alaska Native (AI/AN) subpopulations. Methods. We conducted a systematic review of reporting categories for AI/AN decedents on official death certificates for all 50 US states. Using public data from the 2017–2018 California Health Interview Survey (CHIS), we conducted bivariate and multivariate analyses to assess disparities in health conditions and outcomes for tribally enrolled and non‒tribally enrolled AI/AN persons compared with non-Hispanic Whites. Results. There was no standard for the collection of tribal enrollment data or AI/AN race on death certificates across all 50 states. There were stark differences in the incidence and prevalence of various health risk factors and chronic diseases for the tribally enrolled AI/AN subpopulation, non‒tribally enrolled AI/AN subpopulation, and non-Hispanic White comparison group. Conclusions. The collection of tribal enrollment data in vital statistics and health surveillance systems is necessary to identify and respond to health disparities among AI/AN subpopulations. These efforts must be conducted in partnership with tribal nations and consider Indigenous data sovereignty.


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