Publications by authors named "Jerry A Krishnan"

Post-Acute Sequelae of SARS-CoV-2 infection (PASC) syndrome or "Long COVID" represents a widespread health challenge that necessitates the development of novel diagnostic approaches and targeted therapies that can be readily deployed. Immune dysregulation has been reported as one of the hallmarks of PASC, but the extent of PASC immune dysregulation in patients over time remains unclear. We therefore assessed SARS-CoV-2-specific antibody responses, peripheral immune cell profiles, autoantibody profiles and circulating cytokines for up to 6 months in participants with a SARS-CoV-2 infection who either convalesced or developed PASC.

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Background: This study evaluated the impact of aging on the frequency and prevalent symptoms of Long COVID, also termed post-acute sequelae of SARS-CoV-2, using a previously developed Long COVID research index (LCRI) of 41 self-reported symptoms in which those with 12 or more points were classified as likely to have Long COVID.

Methods: We analyzed community-dwelling participants ≥ 60 years old (2662 with prior infection, 461 controls) compared to participants 18-59 years (7549 infected, 728 controls) in the Researching COVID to Enhance Recovery adult (RECOVER-Adult) cohort ≥ 135 days post-onset.

Results: Compared to the Age 18-39 group, the adjusted odds of LCRI ≥ 12 were higher for the Age 40-49 group (odds ratio [OR] = 1.

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Rationale: Immunoglobulins (Ig) protect against pathogens frequently implicated in COPD exacerbations. We previously demonstrated an association of low-normal serum IgA and IgG concentrations with prospective exacerbation risk, but responsible mechanisms are undefined. Here, we examined associations of lower respiratory tract bacterial diversity to Ig levels in serum and bronchoalveolar lavage (BAL) and to the memory phenotypes of blood and BAL B cells.

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Increased risk of coronavirus disease (COVID-19) hospitalization and death has been reported among patients with clinical lung disease. To test the association of objective measures of prepandemic lung function and structure with COVID-19 outcomes in U.S.

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Discovering the biological basis of progression in chronic obstructive pulmonary disease (COPD), especially of rapid decline (RD) in forced expiratory volume in 1 second, is essential to the development of precision therapies. First, we sought to define baseline characteristics of RD (⩾100 ml/yr), relative to participants with stable-to-improved (S/I) status or with intermediate decline (D)-categories based on spirometric data from the Framingham Offspring cohort. Second, we sought to examine these categories as predictors of longitudinal COPD outcomes, adjusting for baseline characteristics.

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Quantifying functional small airway disease (fSAD) requires additional expiratory computed tomography (CT) scans, limiting clinical applicability. Artificial intelligence (AI) could enable fSAD quantification from chest CT scans at total lung capacity (TLC) alone (fSAD). To evaluate an AI model for estimating fSAD, compare it with dual-volume parametric response mapping fSAD (fSAD), and assess its clinical associations and repeatability in chronic obstructive pulmonary disease (COPD).

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Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.

Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.

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Purpose To assess the repeatability of real-time cine pulmonary MRI measures of metronome-paced tachypnea (MPT)-induced dynamic hyperinflation and its relationship with chronic obstructive pulmonary disease (COPD) severity. Materials and Methods SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) (ClinicalTrials.gov identifier no.

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Deviation from protocolized assessment times is commonplace in pragmatic randomized clinical trials. Working with a stakeholder advisory board for a Patient-Centered Outcomes Research Institute®-funded project on statistical methods for handling potential biases introduced by irregular assessment times, we identified reasons for off-schedule or missed assessments. We used the Consolidated Framework for Implementation Research 2.

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Article Synopsis
  • The classification of long COVID (LC) needs to reflect its complexity and diversity, requiring continuous updates as new research emerges.
  • The 2023 research index aims to refine the understanding of LC symptoms using additional data from the RECOVER-Adult study, which involves adults from various backgrounds across the US and Puerto Rico.
  • The study included 13,647 participants, identifying key symptoms for the updated 2024 LC index, such as fatigue and brain fog, and established that a score of 11 or higher effectively identifies those with significant symptoms of long COVID.
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Article Synopsis
  • * These technologies pave the way for decentralized clinical trials, allowing for a more inclusive study population, reduced costs, and faster access to new treatments.
  • * The discussion includes the use of digital endpoints, different trial designs, a specific example of a fully decentralized asthma trial, and examines the pros and cons of these methods from various perspectives (clinicians, patients, and regulators).
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Among tobacco-exposed persons with preserved spirometry (TEPSs), we previously demonstrated that different lung volume indices-specifically, elevated total lung capacity (TLC) versus elevated ratio of functional residual capacity to TLC (FRC/TLC)-identify different lung disease characteristics in the COPDGene cohort. We sought to determine differential disease characteristics and trajectories associated with lung volume indices among TEPSs in the SPIROMICS cohort. We categorized TEPSs ( = 814) by tertiles (low, intermediate, and high) of TLC or residual volume-to-TLC ratio (RV/TLC) derived from baseline computed tomography images and then examined clinical and spirometric disease trajectories in mutually exclusive categories of participants with high TLC without high RV/TLC ([TLC]) versus high RV/TLC without high TLC ([RV/TLC]).

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There is increasing interest in the use of home-based monitoring in people with chronic lung diseases to improve access to care, support patient self-management, and facilitate the collection of information for clinical care and research. However, integration of home-based monitoring into clinical and research settings requires careful consideration of test performance and other attributes. There is no published guidance from professional respiratory societies to advance the science of home-based monitoring for chronic lung disease.

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Article Synopsis
  • Serum IgG deficiency is linked to increased risks of exacerbations in chronic obstructive pulmonary disease (COPD), but the impact of lower normal range levels is uncertain.
  • A study involving 1,497 smokers analyzed the relationship between serum IgG levels and COPD exacerbations, finding that levels below the 35th percentile (1225 mg/dL) heightened exacerbation risk.
  • Specifically, low levels of IgG1 and IgG2 subclasses were significantly correlated with severe exacerbations, indicating that even mild impairments in IgG can affect disease severity in at-risk individuals.
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AbstractIn response to the Covid-19 pandemic, the National Heart, Lung, and Blood Institute launched five multisite clinical trials testing candidate host tissue-directed medical interventions to hasten recovery, improve function, and reduce morbidity and mortality. Speed, flexibility, and collaboration were essential. This article from the Steering and Executive committees describes the Collaborating Network of Networks for Evaluating Covid-19 and Therapeutic Strategies (CONNECTS) research program that enrolled 6690 participants and evaluated 18 intervention strategies using 10 molecular agents across the care continuum (outpatient, inpatient, and post discharge), and reports lessons learned from this initiative.

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Article Synopsis
  • - Nearly 6 million children in the US have asthma, with over a third covered by Medicaid; despite experiments with accountable care organizations (ACOs) in 23 state Medicaid programs, their impact on asthma care and outcomes is not well understood.
  • - The study aimed to evaluate the effects of Massachusetts Medicaid ACO implementation in March 2018 on the quality of asthma care and healthcare use among children aged 2 to 17, using data from 2014 to 2020.
  • - Results showed no significant change in routine asthma visit rates for Medicaid-insured children compared to privately insured ones after ACO implementation, though an increase in the proportion of Medicaid-insured children with a favorable asthma medication ratio was noted. *
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Background/objective: Disclosing individual research results to participants is not standard practice. The return of individual research results to participants may increase recruitment, retention, and engagement in research. This study's objective was to explore the preferences, expectations, and experiences of research participants receiving individual research results.

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  • Researchers are investigating how artificial intelligence (AI) can help measure functional small airways disease (fSAD) in chronic obstructive pulmonary disease (COPD) using just one CT scan instead of the two traditionally required.
  • They studied over 2,500 participants and found strong correlations between the new AI method and existing measures of lung function, confirming its effectiveness.
  • The new AI technique for estimating fSAD proved to be more reliable and repeatable compared to standard methods, suggesting it could enhance clinical assessments of COPD.
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  • The SPIROMICS Study of Early COPD Progression (SOURCE) aims to investigate the biological reasons behind early-stage COPD in younger individuals who smoke, addressing a gap in current medical knowledge that hinders treatment development.
  • The study plans to enroll 649 participants aged 30-55 with a history of smoking, alongside 40 never-smoker controls, to collect comprehensive health data and analyze potential mechanisms of disease progression.
  • SOURCE seeks to use advanced imaging and biospecimen collection methods over three years to enhance understanding of COPD and contribute to better prevention and treatment strategies.
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