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  1. Article ; Online: Formula for a Crisis: Systemic Inequities Highlighted by the US Infant Formula Shortage.

    Wang, Rita Y / Anand, Neha S / Douglas, Katherine E / Gregory, Jessica C / Lu, Nguyen / Pottorff, Alexandra E / Hsu, Heather E

    Pediatrics

    2024  Volume 153, Issue 2

    MeSH term(s) Infant ; Humans ; Female ; Infant Formula ; Breast Feeding ; Food, Formulated
    Language English
    Publishing date 2024-01-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 207677-9
    ISSN 1098-4275 ; 0031-4005
    ISSN (online) 1098-4275
    ISSN 0031-4005
    DOI 10.1542/peds.2023-061910
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  2. Article: Metabolic Disease and The Risk of Post-COVID Conditions: A Retrospective Cohort Study.

    Xie, Wubin / Hsu, Heather E / Shafer, Paul R / Podolsky, Meghan I / Stokes, Andrew C

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Objective: To examine the influence of having a baseline metabolic disorder (diabetes, hypertension, and/or obesity) on the risk of developing new clinical sequelae potentially related to SARS-CoV-2 in a large sample of commercially insured adults in ... ...

    Abstract Objective: To examine the influence of having a baseline metabolic disorder (diabetes, hypertension, and/or obesity) on the risk of developing new clinical sequelae potentially related to SARS-CoV-2 in a large sample of commercially insured adults in the US.
    Design setting and participants: Deidentified data were collected from the IBM/Watson MarketScan Commercial Claims and Encounters (CCAE) Databases and Medicare Supplemental and Coordination of Benefits (MDCR) Databases from 2019 to 2021. A total of 839,344 adults aged 18 and above with continuous enrollment in the health plan were included in the analyses. Participants were grouped into four categories based on their COVID-19 diagnosis and whether they had at least one of the three common metabolic disorders at baseline (diabetes, obesity, or hypertension).
    Measures and methods: ICD-10-CM codes were used to determine new symptoms and conditions after the acute phase of SARS-CoV-2 infection, defined as ending 21 days after initial diagnosis date, or index period for those who did not have a COVID-19 diagnosis. Propensity score matching (PSM) was used to create comparable reference groups. Cox proportional hazard models were conducted to estimate hazard ratios and 95% confidence intervals.
    Results: Among the 772,377 individuals included in the analyses, 36,742 (4.8%) without and 20,912 (2.7%) with a baseline metabolic disorder were diagnosed with COVID-19. On average, COVID-19 patients with baseline metabolic disorders had more 2.4 more baseline comorbidities compared to those without baseline metabolic disorders. Compared to adults with no baseline metabolic condition, the risks of developing new clinical sequelae were highest among COVID-19 patients with a baseline metabolic condition (HRs ranging from 1.51 to 3.33), followed by those who had a baseline metabolic condition but with no COVID-19 infection (HRs ranging from 1.33 to 2.35), and those who had COVID-19 but no baseline metabolic condition (HRs ranging from 1.34 to 2.85).
    Conclusions: In a large national cohort of commercially insured adults, COVID-19 patients with a baseline metabolic condition had the highest risk of developing new clinical sequelae post-acute infection phase, followed by those who had baseline metabolic condition but no COVID-19 infection and those who had COVID-19 but no baseline metabolic disorder.
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.26.24304845
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  3. Article ; Online: Should We Prioritize Deimplementation of Continuous Pulse Oximetry in Bronchiolitis Care?

    Cheston, Christine C / Rutledge, Ronnye / Hsu, Heather E

    JAMA pediatrics

    2021  Volume 175, Issue 5, Page(s) 459–461

    MeSH term(s) Bronchiolitis ; Humans ; Oximetry
    Language English
    Publishing date 2021-02-28
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2701223-2
    ISSN 2168-6211 ; 2168-6203
    ISSN (online) 2168-6211
    ISSN 2168-6203
    DOI 10.1001/jamapediatrics.2020.6157
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  4. Article ; Online: Trends in Well-Child Visits With Out-of-Pocket Costs in the US Before and After the Affordable Care Act.

    Shafer, Paul R / Hoagland, Alex / Hsu, Heather E

    JAMA network open

    2021  Volume 4, Issue 3, Page(s) e211248

    MeSH term(s) Child ; Cross-Sectional Studies ; Health Care Costs/trends ; Health Expenditures/trends ; Humans ; Insurance Coverage/economics ; Patient Protection and Affordable Care Act/trends
    Language English
    Publishing date 2021-03-01
    Publishing country United States
    Document type Journal Article ; Multicenter Study
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2021.1248
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  5. Article ; Online: Implementing Health Equity Huddles in Pediatric Gastroenterology Inpatient Education.

    Karim, Sabrina A / DeCelle, Melissa Getz / Hale, Amy E / Spencer, Dennis Justin / Zhang, Yanjia Jason / Hsu, Heather E / Ballal, Sonia A

    Academic pediatrics

    2023  Volume 23, Issue 8, Page(s) 1520–1521

    MeSH term(s) Child ; Humans ; Inpatients ; Gastroenterology/education ; Health Equity ; Educational Status
    Language English
    Publishing date 2023-06-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2483385-X
    ISSN 1876-2867 ; 1876-2859
    ISSN (online) 1876-2867
    ISSN 1876-2859
    DOI 10.1016/j.acap.2023.06.002
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  6. Article ; Online: Metabolic Disease and The Risk of Post-COVID Conditions: A Retrospective Cohort Study

    Xie, Wubin / Hsu, Heather E. / Shafer, Paul R. / Podolsky, Meghan I. / Stokes, Andrew C.

    medRxiv

    Abstract: Objective To examine the influence of having a baseline metabolic disorder (diabetes, hypertension, and/or obesity) on the risk of developing new clinical sequelae potentially related to SARS-CoV-2 in a large sample of commercially insured adults in the ... ...

    Abstract Objective To examine the influence of having a baseline metabolic disorder (diabetes, hypertension, and/or obesity) on the risk of developing new clinical sequelae potentially related to SARS-CoV-2 in a large sample of commercially insured adults in the US. Design, setting, and participants Deidentified data were collected from the IBM/Watson MarketScan Commercial Claims and Encounters (CCAE) Databases and Medicare Supplemental and Coordination of Benefits (MDCR) Databases from 2019 to 2021. A total of 839,344 adults aged 18 and above with continuous enrollment in the health plan were included in the analyses. Participants were grouped into four categories based on their COVID-19 diagnosis and whether they had at least one of the three common metabolic disorders at baseline (diabetes, obesity, or hypertension). Measures and methods ICD-10-CM codes were used to determine new symptoms and conditions after the acute phase of SARS-CoV-2 infection, defined as ending 21 days after initial diagnosis date, or index period for those who did not have a COVID-19 diagnosis. Propensity score matching (PSM) was used to create comparable reference groups. Cox proportional hazard models were conducted to estimate hazard ratios and 95% confidence intervals. Results Among the 772,377 individuals included in the analyses, 36,742 (4.8%) without and 20,912 (2.7%) with a baseline metabolic disorder were diagnosed with COVID-19. On average, COVID-19 patients with baseline metabolic disorders had more 2.4 more baseline comorbidities compared to those without baseline metabolic disorders. Compared to adults with no baseline metabolic condition, the risks of developing new clinical sequelae were highest among COVID-19 patients with a baseline metabolic condition (HRs ranging from 1.51 to 3.33), followed by those who had a baseline metabolic condition but with no COVID-19 infection (HRs ranging from 1.33 to 2.35), and those who had COVID-19 but no baseline metabolic condition (HRs ranging from 1.34 to 2.85). Conclusions In a large national cohort of commercially insured adults, COVID-19 patients with a baseline metabolic condition had the highest risk of developing new clinical sequelae post-acute infection phase, followed by those who had baseline metabolic condition but no COVID-19 infection and those who had COVID-19 but no baseline metabolic disorder.
    Keywords covid19
    Language English
    Publishing date 2024-03-27
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2024.03.26.24304845
    Database COVID19

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  7. Article ; Online: Pediatric surgical site infections in 287 hospitals in the United States, 2015-2018.

    Mathew, Roshni / Salinas, Jorge L / Hsu, Heather E / Jin, Robert / Rhee, Chanu / Lee, Grace M

    Infection control and hospital epidemiology

    2022  Volume 44, Issue 6, Page(s) 968–970

    Abstract: Among 287 US hospitals reporting data between 2015 and 2018, annual pediatric surgical site infection (SSI) rates ranged from 0% for gallbladder to 10.4% for colon surgeries. Colon, spinal fusion, and small-bowel SSI rates did not decrease with greater ... ...

    Abstract Among 287 US hospitals reporting data between 2015 and 2018, annual pediatric surgical site infection (SSI) rates ranged from 0% for gallbladder to 10.4% for colon surgeries. Colon, spinal fusion, and small-bowel SSI rates did not decrease with greater surgical volumes in contrast to appendix and ventricular-shunt SSI rates.
    MeSH term(s) Humans ; United States/epidemiology ; Child ; Surgical Wound Infection/epidemiology ; Risk Factors ; Hospitals ; Spinal Fusion ; Digestive System Surgical Procedures ; Retrospective Studies
    Language English
    Publishing date 2022-07-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639378-0
    ISSN 1559-6834 ; 0195-9417 ; 0899-823X
    ISSN (online) 1559-6834
    ISSN 0195-9417 ; 0899-823X
    DOI 10.1017/ice.2022.154
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  8. Article: Risk Factors for Admission Within a Hospital-Based COVID-19 Home Monitoring Program.

    Sperring, Heather / Hofman, Melissa / Hsu, Heather E / Xiao, Yian / Keohane, Elizabeth A / Lodi, Sara / Marathe, Jai / Epstein, Rachel L

    Open forum infectious diseases

    2022  Volume 9, Issue 7, Page(s) ofac320

    Abstract: Background: Despite increasing vaccination rates, coronavirus disease 2019 (COVID-19) continues to overwhelm heath systems worldwide. Few studies follow outpatients diagnosed with COVID-19 to understand risks for subsequent admissions. We sought to ... ...

    Abstract Background: Despite increasing vaccination rates, coronavirus disease 2019 (COVID-19) continues to overwhelm heath systems worldwide. Few studies follow outpatients diagnosed with COVID-19 to understand risks for subsequent admissions. We sought to identify hospital admission risk factors in individuals with COVID-19 to guide outpatient follow-up and prioritization for novel therapeutics.
    Methods: We prospectively designed data collection templates and remotely monitored patients after a COVID-19 diagnosis, then retrospectively analyzed data to identify risk factors for 30-day admission for those initially managed outpatient and for 30-day re-admissions for those monitored after an initial COVID-19 admission. We included all patients followed by our COVID-19 follow-up monitoring program from April 2020 to February 2021.
    Results: Among 4070 individuals followed by the program, older age (adjusted odds ratio [aOR], 1.05; 95% CI, 1.03-1.06), multiple comorbidities (1-2: aOR, 5.88; 95% CI, 2.07-16.72; ≥3: aOR, 20.40; 95% CI, 7.23-57.54), presence of fever (aOR, 2.70; 95% CI, 1.65-4.42), respiratory symptoms (aOR, 2.46; 95% CI, 1.53-3.94), and gastrointestinal symptoms (aOR, 2.19; 95% CI, 1.53-3.94) at initial contact were associated with increased risk of COVID-19-related 30-day admission among those initially managed outpatient. Loss of taste/smell was associated with decreased admission risk (aOR, 0.46; 95% CI, 0.25-0.85). For postdischarge patients, older age was also associated with increased re-admission risk (aOR, 1.04; 95% CI, 1.01-1.06).
    Conclusions: This study reveals that in addition to older age and specific comorbidities, the number of high-risk conditions, fever, respiratory symptoms, and gastrointestinal symptoms at diagnosis all increased odds of COVID-19-related admission. These data could enhance patient prioritization for early treatment interventions and ongoing surveillance.
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2757767-3
    ISSN 2328-8957
    ISSN 2328-8957
    DOI 10.1093/ofid/ofac320
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  9. Article ; Online: Addressing Social Determinants to Improve Population Health: The Balance Between Clinical Care and Public Health.

    Silverstein, Michael / Hsu, Heather E / Bell, Alastair

    JAMA

    2019  Volume 322, Issue 24, Page(s) 2379–2380

    MeSH term(s) Clinical Medicine ; Humans ; Patient Care/methods ; Population Health ; Social Determinants of Health ; United States
    Language English
    Publishing date 2019-11-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2019.18055
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  10. Article ; Online: Target trial emulation for comparative effectiveness research with observational data: Promise and challenges for studying medications for opioid use disorder.

    Christine, Paul J / Lodi, Sara / Hsu, Heather E / Bovell-Ammon, Benjamin / Yan, Shapei / Bernson, Dana / Novo, Patricia / Lee, Joshua D / Rotrosen, John / Liebschutz, Jane / Walley, Alexander Y / Larochelle, Marc R

    Addiction (Abingdon, England)

    2024  

    Abstract: Medications for opioid use disorder (MOUD) increase retention in care and decrease mortality during active treatment; however, information about the comparative effectiveness of different forms of MOUD is sparse. Observational comparative effectiveness ... ...

    Abstract Medications for opioid use disorder (MOUD) increase retention in care and decrease mortality during active treatment; however, information about the comparative effectiveness of different forms of MOUD is sparse. Observational comparative effectiveness studies are subject to many types of bias; a robust framework to minimize bias would improve the quality of comparative effectiveness evidence. This paper discusses the use of target trial emulation as a framework to conduct comparative effectiveness studies of MOUD with administrative data. Using examples from our planned research project comparing buprenorphine-naloxone and extended-release naltrexone with respect to the rates of MOUD discontinuation, we provide a primer on the challenges and approaches to employing target trial emulation in the study of MOUD.
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 1141051-6
    ISSN 1360-0443 ; 0965-2140
    ISSN (online) 1360-0443
    ISSN 0965-2140
    DOI 10.1111/add.16473
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