scholarly journals Characterization of neonatal opioid withdrawal syndrome in Arizona from 2010-2017

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0248476
Author(s):  
Emery R. Eaves ◽  
Jarrett Barber ◽  
Ryann Whealy ◽  
Sara A. Clancey ◽  
Rita Wright ◽  
...  
Keyword(s):  
Health Services ◽  
Marital Status ◽  
Hospital Discharge ◽  
Withdrawal Syndrome ◽  
Opioid Withdrawal ◽  
Hospital Discharge Database ◽  
Department Of Health ◽  
Using Data ◽  
Opioid Withdrawal Syndrome ◽  
Discharge Database

In this paper, we describe a population of mothers who are opioid dependent at the time of giving birth and neonates exposed to opioids in utero who experience withdrawal following birth. While there have been studies of national trends in this population, there remains a gap in studies of regional trends. Using data from the Arizona Department of Health Services Hospital Discharge Database, this study aimed to characterize the population of neonates with neonatal opioid withdrawal syndrome (NOWS) and mothers who were opioid dependent at the time of giving birth, in Arizona. We analyzed approximately 1.2 million electronic medical records from the Arizona Department of Health Services Hospital Discharge Database to identify patterns and disparities across socioeconomic, ethnic, racial, and/or geographic groupings. In addition, we identified comorbid conditions that are differentially associated with NOWS in neonates or opioid dependence in mothers. Our analysis was designed to assess whether indicators such as race/ethnicity, insurance payer, marital status, and comorbidities are related to the use of opioids while pregnant. Our findings suggest that women and neonates who are non-Hispanic White and economically disadvantaged, tend be part of our populations of interest more frequently than expected. Additionally, women who are opioid dependent at the time of giving birth are unmarried more often than expected, and we suggest that marital status could be a proxy for support. Finally, we identified comorbidities associated with neonates who have NOWS and mothers who are opioid dependent not previously reported.

scholarly journals Characterization of Neonatal Abstinence Syndrome in Arizona from 2010-2017

2020 ◽  
Author(s):  
Emery R Eaves ◽  
Jarret Barber ◽  
Ryann Whealy ◽  
Sara A Clancey ◽  
Rita Wright ◽  
...  
Keyword(s):  
Health Services ◽  
Marital Status ◽  
Hospital Discharge ◽  
Newborn Infants ◽  
Neonatal Abstinence Syndrome ◽  
Abstinence Syndrome ◽  
Hospital Discharge Database ◽  
Department Of Health ◽  
Using Data ◽  
Discharge Database

This study aimed to characterize the population of newborn infants with neonatal abstinence syndrome (NAS) and mothers who were opioid dependent at the time of giving birth, in Arizona. We analyzed approximately 1.2 million electronic medical records from the Arizona Department of Health Services Hospital Discharge Database to identify patterns and disparities across socioeconomic, ethnic/racial, and/or geographic groupings. In addition, we identified comorbid conditions that are differentially associated with NAS in infants or opioid dependence in mothers. Our analysis was designed to assess whether indicators such as race/ethnicity, insurance payer, marital status, and comorbidities are related to the use of opioids while pregnant. In this paper, we describe a population of mothers who are opioid dependent at the time of giving birth and infants who experience withdrawal due to opioid exposure in utero. While there have been studies of national trends in this population (see Patrick et al.), regional trends and issues are less well understood. Using data from the Arizona Department of Health Services Hospital Discharge Database, we find that women and infants who are non-Hispanic White and economically disadvantaged, tend be part of our populations of interest more frequently than expected. Additionally, we find that women who are opioid dependent at the time of giving birth are unmarried more often than expected, and we suggest that marital status could be a proxy for support. Finally, we report comorbidities, some of which have not been previously reported, associated with infants who have NAS and mothers who are opioid dependent.

scholarly journals Sex-Dependent Gene Expression in Infants with Neonatal Opioid Withdrawal Syndrome

2019 ◽  
Vol 214 ◽  
pp. 60-65.e2 ◽  
Author(s):  
Elizabeth Yen ◽  
Tomoko Kaneko-Tarui ◽  
Robin Ruthazer ◽  
Karen Harvey-Wilkes ◽  
Mona Hassaneen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Withdrawal Syndrome ◽  
Opioid Withdrawal ◽  
Opioid Withdrawal Syndrome

Maternal opioid use disorder: Placental transcriptome analysis for neonatal opioid withdrawal syndrome

Genomics ◽  
2021 ◽  
Author(s):  
Uppala Radhakrishna ◽  
Swapan K. Nath ◽  
Sangeetha Vishweswaraiah ◽  
Lavanya V. Uppala ◽  
Ariadna Forray ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Withdrawal Syndrome ◽  
Opioid Use Disorder ◽  
Opioid Withdrawal ◽  
Opioid Use ◽  
Opioid Withdrawal Syndrome

Abstract O.02: Validation of Kawasaki Disease Incidence Assessment as Derived from Health System Administrative Databases vs. Active Retrospective Surveillance in Ontario, Canada

Circulation ◽  
2015 ◽  
Vol 131 (suppl_2) ◽  
Author(s):  
Cedric Manlhiot ◽  
Sunita O’Shea ◽  
Bailey Bernknopf ◽  
Michael Labelle ◽  
Mathew Mathew ◽  
...  
Keyword(s):  
Kawasaki Disease ◽  
Hospital Discharge ◽  
Hospital Admissions ◽  
Disease Incidence ◽  
Administrative Databases ◽  
Canadian Hospital ◽  
Hospital Discharge Database ◽  
Incident Cases ◽  
Discharge Database

Introduction: Historically, 2 methods have been used to determine the incidence of Kawasaki disease (KD): active or passive surveillance, or the use of administrative databases. Given the increasing regulatory requirements, mainly around patient privacy, periodic retrospective surveillances have become increasingly challenging. Administrative databases are not curated datasets and doubts have been cast on their accuracy. Methods: The Hospital for Sick Children has been conducting retrospective triennial surveillances of KD since 1995 by contacting all hospitals in Ontario and manually reviewing all cases through chart review, reconciling inter-hospital transfers and multiple readmissions. We queried the Canadian hospital discharge database (Canadian Institute for Health Information) for hospitalizations associated with a diagnosis of KD between 2004-9. The administrative dataset was manually reviewed; patient national health number, institution and dates of admission/discharge were used to identify inter-hospital transfers, readmission and follow-up episodes. Results: The Canadian hospital discharge database reported 1,685 admissions during the study period (281±44 per year) for Ontario. Manual review of the dataset identified 219 (13%) as inter-hospital transfers (56, 26%), readmissions (122, 56%), admissions for follow-up of coronary artery aneurysms (14, 6%) or hospital admissions not related to KD (27, 12%). When these admissions were removed, the total number of incident cases for the study period was 1,466 (244±45 per year). The retrospective triennial surveillance identified 1,373 KD cases during the same period (229±33 per year). The Canadian hospital discharge database overestimated the number of cases in all 6 years by an average of 6.7±5.9%. The overestimation likely comes from patients who were originally diagnosed with KD but in whom the diagnosis of KD was subsequently excluded (historically ~5-6%). Conclusions: Reliance on administrative data to determine incidence of KD is possible and accurate; data should be manually reviewed to remove non-incident cases and estimates should be adjusted to reflect the expected proportion of patients in whom the diagnosis of KD will be subsequently excluded.

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