Publications by authors named "Scott Zeger"

Article Synopsis
  • The text discusses the impact of pneumococcal conjugate vaccines (PCVs), specifically PCV10 and PCV13, on invasive pneumococcal disease (IPD) globally, highlighting how these vaccines have reduced the prevalence of disease caused by vaccine-type serotypes after extensive use.
  • It describes the methodology of data collection from various surveillance sites, which aimed to evaluate IPD cases that occurred five years after the vaccines were implemented, focusing on different age groups for analysis.
  • Findings indicate significant differences in serotype distribution between PCV10 and PCV13 sites; notably, certain serotypes, such as 19A and serotype 3, were prevalent in specific age groups, signaling ongoing challenges in controlling
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Background: Pneumococcal conjugate vaccines (PCVs) that are ten-valent (PCV10) and 13-valent (PCV13) became available in 2010. We evaluated their global impact on invasive pneumococcal disease (IPD) incidence in all ages.

Methods: Serotype-specific IPD cases and population denominators were obtained directly from surveillance sites using PCV10 or PCV13 in their national immunisation programmes and with a primary series uptake of at least 50%.

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Background: Critically ill hospitalized patients with COVID-19 have greater antibody titers than those with mild to moderate illness, but their association with recovery or death from COVID-19 has not been characterized.

Methods: In a cohort study of 178 COVID-19 patients, 73 non-hospitalized and 105 hospitalized patients, mucosal swabs and plasma samples were collected at hospital enrollment and up to 3 months post-enrollment (MPE) to measure virus RNA, cytokines/chemokines, binding antibodies, ACE2 binding inhibition, and Fc effector antibody responses against SARS-CoV-2. The association of demographic variables and more than 20 serological antibody measures with intubation or death due to COVID-19 was determined using machine learning algorithms.

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Routine genetic profiling of acute myeloid leukemia (AML) at initial diagnosis has allowed subgroup specific prognostication, drug development, and clinical management strategies. The optimal approach for treatment response assessment for AML subgroups has not yet however been determined. A nationwide cohort of 257 adult patients in first remission (CR1) from AML associated with an IDH2 mutation (IDH2m) undergoing allogeneic transplant during the period 2013-2019 in the United States had rates of relapse and survival three years after transplantation of 24% and 71%, respectively.

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Article Synopsis
  • Dynamic prediction of treatment effects in precision medicine faces challenges due to unknown treatment assignments and outcomes in observational studies.
  • A new multivariate generalized linear mixed-effects model and Bayesian g-computation algorithm are introduced to estimate the benefits of dynamic treatment regimens for different subgroups.
  • The method incorporates unmeasured factors as random effects and is validated through simulation, along with its application to assess the efficacy of mycophenolate in scleroderma patients.
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Objectives: American Indian and Alaska Native (AI/AN) infants historically experienced a disproportionate burden of invasive Haemophilus influenzae type b (Hib) disease, especially early in life. PedvaxHIB vaccine is preferentially recommended for AI/AN infants because it elicits protective antibody levels postdose 1. Vaxelis, a hexavalent vaccine that contains the same Hib conjugate as PedvaxHIB but at lower concentration, is recommended for US children, but postdose 1 Hib immunogenicity data are needed to inform whether a preferential recommendation should be made for AI/AN infants.

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  • - The study aimed to explore whether differences in autoantibodies among self-identified black and white systemic sclerosis (SSc) patients contributed to racial variations in disease severity, analyzing 803 black and 2,178 white patients.
  • - Results indicated that specific autoantibodies were more prevalent in black patients, who also experienced more severe symptoms, particularly in areas like lung, skin, and renal disease, while white patients had more heart and muscle issues.
  • - The findings suggest that although autoantibodies play a role in disease outcomes, they only partially explain the racial disparities observed, implying that other factors must also be considered in understanding these differences.
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Ecological momentary assessment (EMA) allows for the collection of participant-reported outcomes (PROs), including pain, in the normal environment at high resolution and with reduced recall bias. Ecological momentary assessment is an important component in studies of pain, providing detailed information about the frequency, intensity, and degree of interference of individuals' pain. However, there is no universally agreed on standard for summarizing pain measures from repeated PRO assessment using EMA into a single, clinically meaningful measure of pain.

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  • The study investigates how the level of measurable residual disease (MRD) in adults with FLT3-ITD acute myeloid leukemia (AML) affects relapse and mortality rates after allogeneic hematopoietic cell transplant.
  • Researchers performed DNA sequencing on blood samples from 537 patients who were in first complete remission prior to transplant, analyzing data up until May 2022.
  • Results indicate a significant correlation between residual FLT3-ITD markers and patient outcomes, emphasizing that higher levels of MRD are linked to increased risks of relapse and death after the transplant.
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Background: Standard continuous glucose monitoring (CGM) metrics: mean glucose, standard deviation, coefficient of variation, and time in range, fail to capture the shape of variability in the CGM time series. This information could facilitate improved diabetes management.

Methods: We analyzed CGM data from 141 adults with type 2 diabetes in the Hyperglycemic Profiles in Obstructive Sleep Apnea (HYPNOS) trial.

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  • The study aimed to evaluate how often kidney failure occurs in patients receiving intravitreal anti-VEGF treatments and to compare the risks associated with three specific drugs: ranibizumab, aflibercept, and bevacizumab.
  • Researchers conducted a retrospective cohort study, analyzing data from 12 databases within the OHDSI network, focusing on patients over 18 with retinal diseases receiving these treatments.
  • Results showed an average incidence of kidney failure of 678 per 100,000 persons, and no significant differences in risk were found among the three anti-VEGF drugs, indicating similar safety profiles regarding kidney health.
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  • * Researchers analyzed data from 1,006 adults with diabetes, finding three distinct social risk groups characterized by demographic differences and levels of adverse SDoH, such as financial insecurity and lack of healthcare access.
  • * The results showed that these social risk groups were linked to varying levels of knowledge about diabetic retinopathy and associated with lapses in care and worse vision outcomes, highlighting the need for targeted interventions to improve eye care and address specific social needs.
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Critically ill people with COVID-19 have greater antibody titers than those with mild to moderate illness, but their association with recovery or death from COVID-19 has not been characterized. In 178 COVID-19 patients, 73 non-hospitalized and 105 hospitalized patients, mucosal swabs and plasma samples were collected at hospital enrollment and up to 3 months post-enrollment (MPE) to measure virus RNA, cytokines/chemokines, binding antibodies, ACE2 binding inhibition, and Fc effector antibody responses against SARS-CoV-2. The association of demographic variables and >20 serological antibody measures with intubation or death due to COVID-19 was determined using machine learning algorithms.

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Background: Despite growing interest in monitoring improvements in quality of care, data on service quality in low-income and middle-income countries (LMICs) is limited. While health systems researchers have hypothesized the relationship between facility readiness and provision of care, there have been few attempts to quantify this relationship in LMICs. This study assesses the association between facility readiness and provision of care for antenatal care at the client level and facility level.

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Objectives: To assess the association between maternal characteristics, adverse birth outcomes (small-for-gestational-age (SGA) and/or preterm) and neonatal mortality in rural Nepal.

Design: This is a secondary observational analysis to identify risk factors for neonatal mortality, using data from a randomised trial to assess the impact of newborn massage with different oils on neonatal mortality in Sarlahi district, Nepal.

Setting: Rural Sarlahi district, Nepal.

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Measurable residual disease (MRD) in adults with acute myeloid leukemia (AML) in complete remission is an important prognostic marker, but detection methodology requires optimization. The persistence of mutated or -ITD in the blood of adult patients with AML in first complete remission (CR1) prior to allogeneic hematopoetic cell transplant (alloHCT) has been established as associated with increased relapse and death after transplant. The prognostic implications of persistence of other common AML-associated mutations, such as , at this treatment landmark however remains incompletely defined.

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Article Synopsis
  • The study aimed to investigate the relationship between specific scleroderma autoantibodies and the risk of developing cancer in patients, assessing their potential for use in risk assessment.
  • Researchers analyzed data from 676 cancer cases and 687 controls, focusing on various autoantibodies and their correlation with cancer risk, using logistic regression and random forest analysis.
  • Results indicated that certain autoantibodies (like anti-POLR3 and anti-Ro52) were linked to increased cancer risk, whereas others (such as anticentromere and anti-U1RNP) were associated with decreased risk, suggesting these immune responses could help stratify cancer risk in scleroderma patients.
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COVID-19 has challenged health systems to learn how to learn. This paper describes the context, methods and challenges for learning to improve COVID-19 care at one academic health center. Challenges to learning include: (1) choosing a right clinical target; (2) designing methods for accurate predictions by borrowing strength from prior patients' experiences; (3) communicating the methodology to clinicians so they understand and trust it; (4) communicating the predictions to the patient at the moment of clinical decision; and (5) continuously evaluating and revising the methods so they adapt to changing patients and clinical demands.

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Objective: To develop a novel methodology to identify lapses in diabetic retinopathy care in electronic health records (EHRs) and evaluate health disparities by race and ethnicity.

Design: Retrospective cohort study.

Subjects: Adult patients with diabetes mellitus who were evaluated at the Wilmer Eye Institute from January 1, 2013 to April 2, 2022.

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