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  1. Article ; Online: Introducing the Guide to Statistics and Methods: A New Series for JAMA Internal Medicine.

    Allore, Heather Gwynn / Tripodis, Yorghos / Inouye, Sharon K

    JAMA internal medicine

    2023  Volume 183, Issue 12, Page(s) 1289–1290

    Language English
    Publishing date 2023-10-16
    Publishing country United States
    Document type Editorial
    ZDB-ID 2699338-7
    ISSN 2168-6114 ; 2168-6106
    ISSN (online) 2168-6114
    ISSN 2168-6106
    DOI 10.1001/jamainternmed.2023.5370
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes.

    Chua, Alicia S / Tripodis, Yorghos

    Statistical methods in medical research

    2021  Volume 31, Issue 3, Page(s) 520–533

    Abstract: Longitudinal assessments are crucial in evaluating the disease state and trajectory in patients with neurodegenerative diseases. Neuropsychological outcomes measured over time often have a non-linear trajectory with autocorrelated residuals and a skewed ... ...

    Abstract Longitudinal assessments are crucial in evaluating the disease state and trajectory in patients with neurodegenerative diseases. Neuropsychological outcomes measured over time often have a non-linear trajectory with autocorrelated residuals and a skewed distribution. We propose the adjusted local linear trend model, an extended state-space model in lieu of the commonly used linear mixed-effects model in modeling longitudinal neuropsychological outcomes. Our contributed model has the capability to utilize information from the stochasticity of the data while accounting for subject-specific trajectories with the inclusion of covariates and unequally spaced time intervals. The first step of model fitting involves a likelihood maximization step to estimate the unknown variances in the model before parsing these values into the Kalman filter and Kalman smoother recursive algorithms. Results from simulation studies showed that the adjusted local linear trend model is able to attain lower bias, lower standard errors, and high power, particularly in short longitudinal studies with equally spaced time intervals, as compared to the linear mixed-effects model. The adjusted local linear trend model also outperforms the linear mixed-effects model when data is missing completely at random, missing at random, and, in certain cases, even in data with missing not at random.
    MeSH term(s) Algorithms ; Bias ; Computer Simulation ; Humans ; Linear Models ; Longitudinal Studies
    Language English
    Publishing date 2021-12-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1136948-6
    ISSN 1477-0334 ; 0962-2802
    ISSN (online) 1477-0334
    ISSN 0962-2802
    DOI 10.1177/09622802211055858
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A Social Care System Implemented in Pediatric Primary Care: A Cluster RCT.

    Garg, Arvin / Brochier, Annelise / Tripodis, Yorghos / Messmer, Emily / Drainoni, Mari-Lynn

    Pediatrics

    2023  Volume 152, Issue 2

    Abstract: Objectives: To assess the implementation and effectiveness of the augmented WE CARE social care system on low-income children's health care utilization and child maltreatment outcomes.: Methods: We conducted a type 1 hybrid effectiveness- ... ...

    Abstract Objectives: To assess the implementation and effectiveness of the augmented WE CARE social care system on low-income children's health care utilization and child maltreatment outcomes.
    Methods: We conducted a type 1 hybrid effectiveness-implementation cluster randomized controlled trial at 6 community health centers. Full-term infants were followed from birth to age 3. The 3 experimental clinics implemented the augmented WE CARE system at well-child visits, consisting of a self-report screening instrument for 7 basic needs; an electronic health record-generated resource information referral system; and access to a peer patient navigator. Families at control community health centers received usual care; 1 control site was contaminated and removed from primary analysis. We analyzed results using generalized mixed-effects models.
    Results: Overall, 878 children were followed until age 3. Implementation of WE CARE was poor with only 28.9% of visits having a WE CARE screener documented. WE CARE families received significantly more resource referrals than control families (43.1% vs 1.9%, adjusted odds ratio 4.6; 95% confidence interval, 2.0-5.6); 20% were referred to the patient navigator. WE CARE children had significantly higher immunization adherence ratios. Although there were no statistically significant differences with well-child visits, WE CARE children had higher rates of emergency department visits than control children. By age 3, WE CARE children had significantly higher hospitalization rates (14.1% vs 10.4%, adjusted odds ratio 1.3, 95% confidence interval: 1.03-1.7). There were no statistically significant differences with maltreatment outcomes.
    Conclusions: We found poor implementation and mixed benefits for the augmented WE CARE system on immunization, health care utilization, and maltreatment outcomes in early childhood.
    MeSH term(s) Infant ; Child ; Humans ; Child, Preschool ; Patient Acceptance of Health Care ; Child Health ; Social Support ; Child Abuse/prevention & control ; Primary Health Care
    Language English
    Publishing date 2023-07-25
    Publishing country United States
    Document type Randomized Controlled Trial ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 207677-9
    ISSN 1098-4275 ; 0031-4005
    ISSN (online) 1098-4275
    ISSN 0031-4005
    DOI 10.1542/peds.2023-061513
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  4. Article ; Online: Sample size determination for the association between longitudinal and time-to-event outcomes using the joint modeling time-dependent slopes parameterization.

    LeClair, Jessica / Massaro, Joseph / Sverdlov, Oleksandr / Gordon, Leslie / Tripodis, Yorghos

    Statistics in medicine

    2022  Volume 41, Issue 30, Page(s) 5810–5829

    Abstract: Given their improvements in bias reduction and efficiency, joint models (JMs) for longitudinal and time-to-event data offer great potential to clinical trials. However, for JM to become more widely used, there is a need for additional development of ... ...

    Abstract Given their improvements in bias reduction and efficiency, joint models (JMs) for longitudinal and time-to-event data offer great potential to clinical trials. However, for JM to become more widely used, there is a need for additional development of design considerations. To this end, Chen et al previously developed two closed-form sample size formulas in the JM setting. In this current work, we expand upon this framework by utilizing the time-dependent slopes parameterization, where the change in the longitudinal outcome influences the hazard, in addition to the current value of the longitudinal process. Our extended formula for the required number of events can be used when testing significance of the association between the longitudinal and time-to-event outcomes. We find that if the data indeed are generated such that not only the current value, but also the slope of the longitudinal outcome influence the hazard of the time-to-event process, it is advisable to use the current formula developed utilizing the time-dependent slopes parameterization. In this setting, our proposed formula will provide a more accurate estimate of power compared to the method by Chen et al. To illustrate our proposed method, we present power calculations of a biomarker qualification study for Hutchinson-Gilford progeria syndrome, an ultra-rare premature aging disease.
    MeSH term(s) Humans ; Sample Size ; Progeria ; Longitudinal Studies
    Language English
    Publishing date 2022-10-28
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 843037-8
    ISSN 1097-0258 ; 0277-6715
    ISSN (online) 1097-0258
    ISSN 0277-6715
    DOI 10.1002/sim.9595
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Association of Unmet Social Needs with Chronic Illness: A Cross-Sectional Study.

    Byhoff, Elena / Guardado, Rubeen / Xiao, Nan / Nokes, Keith / Garg, Arvin / Tripodis, Yorghos

    Population health management

    2022  Volume 25, Issue 2, Page(s) 157–163

    Abstract: Screening for social needs during routine medical visits is increasingly common. To date, there are limited data on which social needs are most predictive of health outcomes. The aim of this study is to build a predictive model from integrated social ... ...

    Abstract Screening for social needs during routine medical visits is increasingly common. To date, there are limited data on which social needs are most predictive of health outcomes. The aim of this study is to build a predictive model from integrated social needs screening and health data to identify individual or clusters of social needs that are predictive of chronic illnesses. Using the electronic medical record data from a Federally Qualified Health Center collected from January 2016 to December 2020, demographic, diagnosis, and social needs screening data were used to look at adjusted and unadjusted associations of individual unmet social needs with chronic illnesses (
    MeSH term(s) Adult ; Chronic Disease ; Cross-Sectional Studies ; Diabetes Mellitus/epidemiology ; Humans ; Mass Screening ; Obesity/epidemiology
    Language English
    Publishing date 2022-02-15
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2454546-6
    ISSN 1942-7905 ; 1942-7891
    ISSN (online) 1942-7905
    ISSN 1942-7891
    DOI 10.1089/pop.2021.0351
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Beyond income: material hardship and the health and healthcare of premature children.

    Cordova-Ramos, Erika G / Brochier, Annelise / Tripodis, Yorghos / Garg, Arvin / Parker, Margaret G

    Journal of perinatology : official journal of the California Perinatal Association

    2022  Volume 43, Issue 3, Page(s) 357–363

    Abstract: Objectives: To estimate national prevalence of household hardships (food insufficiency, financial hardship, and difficulty paying medical bills) among children born term and preterm; and examine associations of household hardships with preterm children' ... ...

    Abstract Objectives: To estimate national prevalence of household hardships (food insufficiency, financial hardship, and difficulty paying medical bills) among children born term and preterm; and examine associations of household hardships with preterm children's outcomes (health status, emergency room visits, and unmet healthcare needs).
    Methods: We studied 24,026 children aged 0-3 years born term, preterm with moderately low birth weight (1501-2499 grams) and preterm with very low birth weight (VLBW; ≤1500 grams). Using propensity score matching to control for correlates of poverty, we examined associations of hardships and child outcomes.
    Results: Compared with term, households with preterm VLBW children had >2-fold higher odds of financial hardship (aOR:2.63; 95% CI: 1.26-5.46) and >5-fold higher odds of difficulty paying bills (aOR:5.60; 95% CI: 2.35-10.35). Matching for sociodemographics, special healthcare needs, income and receipt of public benefits, hardships were independently associated with adverse preterm children's outcomes.
    Conclusions: Addressing household hardships is needed to optimize preterm child outcomes.
    MeSH term(s) Infant, Newborn ; Female ; Child ; Humans ; Income ; Salaries and Fringe Benefits ; Poverty ; Health Status ; Infant, Very Low Birth Weight ; Premature Birth
    Language English
    Publishing date 2022-11-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 645021-0
    ISSN 1476-5543 ; 0743-8346
    ISSN (online) 1476-5543
    ISSN 0743-8346
    DOI 10.1038/s41372-022-01560-w
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  7. Article ; Online: Medicaid Enrollment and Service Use Among Adults With Down Syndrome.

    Rubenstein, Eric / Michals, Amy / Wang, Na / Scott, Ashley / Tewolde, Salina / Levine, A Alex / Tripodis, Yorghos / Skotko, Brian G

    JAMA health forum

    2023  Volume 4, Issue 8, Page(s) e232320

    Abstract: Importance: Down syndrome is the leading genetic cause of intellectual disability and automatically qualifies individuals for Social Security Insurance. Therefore, Medicaid is the major health insurance provider for a population at high risk for ... ...

    Abstract Importance: Down syndrome is the leading genetic cause of intellectual disability and automatically qualifies individuals for Social Security Insurance. Therefore, Medicaid is the major health insurance provider for a population at high risk for dementia, obesity, and premature mortality. Despite the importance of Medicaid for adults with Down syndrome, little is known about how this population uses Medicaid.
    Objective: To describe enrollment in, health care use in, and cost to Medicaid for adults with Down syndrome compared with adults with intellectual disability and a random sample of adults enrolled in Medicaid.
    Design, setting, and participants: In this cohort study, the data are from a claims cohort of adults aged 18 years or older enrolled in Medicaid at any point between January 1, 2011, and December 31, 2019. Participants were enrollees with 1 or more inpatient claim or 2 or more other claims with an International Classification of Diseases, Ninth Revision code or an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code for Down syndrome or intellectual disability as well as a random sample of those without developmental disability. Analyses were conducted from June 2022 to February 2023.
    Main outcomes and measures: Data were linked across 2 data reporting systems. Main outcomes were enrollee demographic characteristics, enrollment characteristics, cost, and service use.
    Results: This cohort study included 123 024 individuals with Down syndrome (820 273 person-years of coverage; mean [SD] age, 35 [14.7] years; median age, 33 years [IQR, 21-48 years]; 51.6% men; 14.1% Black individuals; 16.7% Hispanic individuals; and 74.6% White individuals), 1 182 246 individuals with intellectual disability (mean [SD] age, 37.1 [16.8] years; median age, 33 years [IQR, 22-50 years]; 56.5% men; 22.0% Black individuals; 11.7% Hispanic individuals; and 69.5% White individuals), and 3 176 371 individuals with no developmental disabilities (mean [SD] age, 38 [18.6] years; median age, 33 years [IQR, 21-52 years]; 43.8% men; 23.7% Black individuals; 20.7% Hispanic individuals; and 61.3% White individuals). Median enrollment in Medicaid for a person with Down syndrome was 8.0 years (IQR, 5.0-9.0 years; mean [SD], 6.6 [2.6] years). Costs were higher for the Down syndrome group (median, $26 278 per person-year [IQR, $11 145-$55 928 per person-year]) relative to the group with no developmental disabilities (median, $6173 per person-year [IQR, $868-$58 390 per person-year]). Asian, Black, Hispanic, Native American, and Pacific Islander adults with Down syndrome had fewer costs and claims per person-year compared with White adults with Down syndrome.
    Conclusion and relevance: This cohort study of individuals with Down syndrome enrolled in Medicaid found consistent enrollment and high use of health care in a population with high health care needs. Results were similar comparing individuals with Down syndrome and those with intellectual disability, with both groups differing from a sample of Medicaid enrollees with no developmental disabilities. Medicaid data are a useful tool for understanding the health and well-being of individuals with Down syndrome.
    MeSH term(s) Male ; United States/epidemiology ; Humans ; Adult ; Female ; Medicaid ; Cohort Studies ; Down Syndrome/epidemiology ; Down Syndrome/therapy ; Intellectual Disability/epidemiology ; Intellectual Disability/therapy ; Insurance, Health
    Language English
    Publishing date 2023-08-04
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 2689-0186
    ISSN (online) 2689-0186
    DOI 10.1001/jamahealthforum.2023.2320
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A cross-sectional study of relationships between social risks and prevalence and severity of pediatric chronic conditions.

    Brochier, Annelise / Messmer, Emily / Wexler, Mikayla Gordon / Rogers, Stephen / Cottrell, Erika / Tripodis, Yorghos / Garg, Arvin

    BMC pediatrics

    2023  Volume 23, Issue 1, Page(s) 115

    Abstract: Background: To examine the differential relationships between seven social risk factors (individually and cumulatively) with the prevalence and severity of asthma, attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and ... ...

    Abstract Background: To examine the differential relationships between seven social risk factors (individually and cumulatively) with the prevalence and severity of asthma, attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and overweight/obesity in children.
    Methods: Using the 2017-2018 National Survey of Children's Health, we examined associations between social risk factors (caregiver education, caregiver underemployment, discrimination, food insecurity, insurance coverage, neighborhood support, and neighborhood safety) and the prevalence and severity of asthma, ADHD, ASD, and overweight/obesity. We used multivariable logistic regression to assess the relationship between individual and cumulative risk factors with each pediatric chronic condition, controlling for child sex and age.
    Results: Although each social risk factor was significantly associated with increased prevalence and/or severity of at least one of the pediatric chronic conditions we investigated, food insecurity was significantly associated with higher disease prevalence and severity for all four conditions. Caregiver underemployment, low social support, and discrimination were significantly associated with higher disease prevalence across all conditions. For each additional social risk factor a child was exposed to, their odds of having each condition increased: overweight/obesity (aOR: 1.2, 95% CI: [1.2, 1.3]), asthma (aOR: 1.3, 95% CI: [1.2, 1.3], ADHD (aOR: 1.2, 95% CI: [1.2, 1.3]), and ASD (aOR: 1.4, 95% CI: [1.3, 1.5]).
    Conclusions: This study elucidates differential relationships between several social risk factors and the prevalence and severity of common pediatric chronic conditions. While more research is needed, our results suggest that social risks, particularly food insecurity, are potential factors in the development of pediatric chronic conditions.
    MeSH term(s) Child ; Humans ; Autism Spectrum Disorder/etiology ; Autism Spectrum Disorder/complications ; Cross-Sectional Studies ; Overweight/complications ; Pediatric Obesity/epidemiology ; Pediatric Obesity/complications ; Prevalence ; Attention Deficit Disorder with Hyperactivity/etiology ; Attention Deficit Disorder with Hyperactivity/complications ; Asthma/epidemiology ; Asthma/complications
    Language English
    Publishing date 2023-03-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041342-7
    ISSN 1471-2431 ; 1471-2431
    ISSN (online) 1471-2431
    ISSN 1471-2431
    DOI 10.1186/s12887-023-03894-6
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  9. Article ; Online: Improving Women's Health Across the Life Span-JAMA Internal Medicine Call for Papers.

    Grady, Deborah / Allore, Heather Gwynn / Corbie, Giselle / Covinsky, Kenneth E / Durant, Raegan W / Ganguli, Ishani / Gross, Cary P / Katz, Mitchell H / Mody, Lona / Wang, Tracy / Tripodis, Yorghos / Inouye, Sharon K

    JAMA internal medicine

    2024  

    Language English
    Publishing date 2024-03-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2699338-7
    ISSN 2168-6114 ; 2168-6106
    ISSN (online) 2168-6114
    ISSN 2168-6106
    DOI 10.1001/jamainternmed.2024.0136
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  10. Article ; Online: Executive functioning, behavior, and white matter microstructure in the chronic phase after pediatric mild traumatic brain injury: results from the adolescent brain cognitive development study.

    Betz, Anja K / Cetin-Karayumak, Suheyla / Bonke, Elena M / Seitz-Holland, Johanna / Zhang, Fan / Pieper, Steve / O'Donnell, Lauren J / Tripodis, Yorghos / Rathi, Yogesh / Shenton, Martha E / Koerte, Inga K

    Psychological medicine

    2024  , Page(s) 1–11

    Abstract: Background: Mild traumatic brain injury (mTBI) is common in children. Long-term cognitive and behavioral outcomes as well as underlying structural brain alterations following pediatric mTBI have yet to be determined. In addition, the effect of age-at- ... ...

    Abstract Background: Mild traumatic brain injury (mTBI) is common in children. Long-term cognitive and behavioral outcomes as well as underlying structural brain alterations following pediatric mTBI have yet to be determined. In addition, the effect of age-at-injury on long-term outcomes is largely unknown.
    Methods: Children with a history of mTBI (
    Results: Children with a history of mTBI displayed higher parent-rated executive dysfunction, higher impulsivity, and poorer self-regulation compared to both control groups. At closer investigation, these differences to TDC were only present in one respective age-at-injury group. No alterations were found in task-based executive functioning or white matter microstructure.
    Conclusions: Findings suggest that everyday executive function, impulsivity, and emotion-regulation are affected years after pediatric mTBI. Outcomes were specific to the age at which the injury occurred, suggesting that functioning is differently affected by pediatric mTBI during vulnerable periods. Groups did not differ in white matter microstructure.
    Language English
    Publishing date 2024-03-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 217420-0
    ISSN 1469-8978 ; 0033-2917
    ISSN (online) 1469-8978
    ISSN 0033-2917
    DOI 10.1017/S0033291724000229
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