Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Harvey EM[original query] |
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Sudden unexpected infant deaths: 2015-2020
Shapiro-Mendoza CK , Woodworth KR , Cottengim CR , Erck Lambert AB , Harvey EM , Monsour M , Parks SE , Barfield WD . Pediatrics 2023 151 (4) OBJECTIVE: Although the US infant mortality rate reached a record low in 2020, the sudden infant death syndrome (SIDS) rate increased from 2019. To understand if the increase was related to changing death certification practices or the coronavirus disease 2019 (COVID-19) pandemic, we examined sudden unexpected infant death (SUID) rates as a group, by cause, and by race and ethnicity. METHODS: We estimated SUID rates during 2015 to 2020 using US period-linked birth and death data. SUID included SIDS, unknown cause, and accidental suffocation and strangulation in bed. We examined changes in rates from 2019 to 2020 and assessed linear trends during prepandemic (2015-2019) using weighted least squares regression. We also assessed race and ethnicity trends and quantified COVID-19-related SUID. RESULTS: Although the SIDS rate increased significantly from 2019 to 2020 (P < .001), the overall SUID rate did not (P = .24). The increased SIDS rate followed a declining linear trend in SIDS during 2015 to 2019 (P < .001). Other SUID causes did not change significantly. Our race and ethnicity analysis showed SUID rates increased significantly for non-Hispanic Black infants from 2019 to 2020, widening the disparities between these two groups during 2017 to 2019. In 2020, <10 of the 3328 SUID had a COVID-19 code. CONCLUSIONS: Diagnositic shifting likely explained the increased SIDS rate in 2020. Why the SUID rate increased for non-Hispanic Black infants is unknown, but warrants continued monitoring. Interventions are needed to address persistent racial and ethnic disparities in SUID. |
Recurrent SARS-CoV-2 RNA Detection after COVID-19 Illness Onset during Pregnancy.
Griffin I , Woodworth KR , Galang RR , Burkel VK , Neelam V , Siebman S , Barton J , Manning SE , Aveni K , Longcore ND , Harvey EM , Ngo V , Mbotha D , Chicchelly S , Lush M , Eckert V , Dzimira P , Sokale A , Valencia-Prado M , Azziz-Baumgartner E , MacNeil A , Gilboa SM , Tong VT . Emerg Infect Dis 2022 28 (4) 873-876 The Surveillance for Emerging Threats to Mothers and Babies Network conducts longitudinal surveillance of pregnant persons in the United States with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection during pregnancy. Of 6,551 infected pregnant persons in this analysis, 142 (2.2%) had positive RNA tests >90 days and up to 416 days after infection. |
Association of Preterm Birth Rate With COVID-19 Statewide Stay-at-Home Orders in Tennessee.
Harvey EM , McNeer E , McDonald MF , Shapiro-Mendoza CK , Dupont WD , Barfield W , Patrick SW . JAMA Pediatr 2021 175 (6) 635-637 This cohort study analyzes preterm birth rates during statewide stay-at-home orders in Tennessee during the coronavirus disease 2019 (COVID-19) pandemic. |
Severe maternal morbidity at delivery and risk of hospital encounters within 6 weeks and 1 year postpartum
Harvey EM , Ahmed S , Manning SE , Diop H , Argani C , Strobino DM . J Womens Health (Larchmt) 2017 27 (2) 140-147 BACKGROUND: Little is known about the impact of severe maternal morbidity (SMM) after delivery. We examined the risk of rehospitalization in the first year postpartum among deliveries to women with and without SMM. MATERIALS AND METHODS: We used the Pregnancy to Early Life Longitudinal data system, in which vital birth/fetal death records were linked with hospital delivery discharge data and subsequent nondelivery hospitalization data, including observational stays (OSs) and in-patient stays (hospital discharge [HD]) for Massachusetts residents during 2002-2011. We excluded deliveries to women with preexisting chronic conditions: hypertension, diabetes, asthma, and autoimmune conditions for a final sample of 685,228 deliveries. Multivariable log binomial regression with generalized estimating equations modeled the relative risk (RR) of hospital encounters 6 weeks and 1 year postpartum. RESULTS: The rate of SMM was 99 per 10,000 deliveries. In the first year postpartum, 2.8% of deliveries to women without chronic medical conditions experienced at least one HD encounter and 1.0% at least one OS encounter. The adjusted relative risk (aRR) of any HD encounter for deliveries with SMM was 2.48 (95% confidence interval [CI]: 2.20-2.80) within 6 weeks postpartum and 2.04 (95% CI: 1.87-2.23) within 1 year. For OS encounters, aRRs among deliveries with SMM at delivery were 2.47 (95% CI: 1.94-3.14) in the first 6 weeks and 1.69 (95% CI: 1.43-2.01) in 1 year. CONCLUSIONS: In Massachusetts, SMM increased the risk of rehospitalization in the first year postpartum among deliveries to women without chronic medical conditions. |
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