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  1. Article ; Online: Comparison of the respiratory bacterial microbiome in cats with feline asthma and chronic bronchitis

    Melanie Werner / Jasmin Weeger / Lina Hörner-Schmid / Karin Weber / Jelena Palić / Jonathan Shih / Jan S. Suchodolski / Rachel Pilla / Bianka Schulz

    Frontiers in Veterinary Science, Vol

    2023  Volume 10

    Abstract: ObjectivesWhile feline chronic bronchitis (CB) is known as neutrophilic bronchial inflammation (NI), feline asthma (FA) is defined as an eosinophilic airway inflammation (EI). Feline chronic bronchial disease refers to both syndromes, with similar ... ...

    Abstract ObjectivesWhile feline chronic bronchitis (CB) is known as neutrophilic bronchial inflammation (NI), feline asthma (FA) is defined as an eosinophilic airway inflammation (EI). Feline chronic bronchial disease refers to both syndromes, with similar clinical presentations and applied treatment strategies. Recent studies described alterations of the microbiota composition in cats with FA, but little is known about the comparison of the lung microbiota between different types of feline bronchial disease. The study aimed to describe the bacterial microbiota of the lower respiratory tracts of cats with FA and CB and to identify potential differences.MethodsTwenty-two client-owned cats with FA (n = 15) or CB (n = 7) confirmed via bronchoalveolar-lavage (BALF)-cytology were included. Next-generation sequencing analysis of 16S rRNA genes was performed on bacterial DNA derived from BALF samples. QIIME was used to compare microbial composition and diversity between groups.ResultsEvenness and alpha-diversity-indices did not significantly differ between cats with FA and CB (Shannon p = 0.084, Chao 1 p = 0.698, observed ASVs p = 0.944). Based on a PERMANOVA analysis, no significant differences were observed in microbial composition between animals of both groups (Bray-Curtis metric, R-value 0.086, p = 0.785; unweighted UniFrac metric, R-value −0.089, p = 0.799; weighted Unifrac metric, R-value −0.072, p = 0.823). Regarding taxonomic composition, significant differences were detected for Actinobacteria on the phylum level (p = 0.026), Mycoplasma spp. (p = 0.048), and Acinetobacteria (p = 0.049) on the genus level between cats with FA and CB, with generally strong interindividual differences seen. There was a significant difference in the duration of clinical signs before diagnosis in animals dominated by Bacteriodetes (median 12 months, range 2–58 months) compared to animals dominated by Proteobacteria (median 1 month, range 1 day to 18 months; p = 0.003).Conclusions and relevanceLung microbiota composition is very similar in ...
    Keywords microbiota ; cough ; lung ; eosinophilic ; neutrophilic ; Veterinary medicine ; SF600-1100
    Subject code 630
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Creation of an ustekinumab external control arm for Crohn’s disease using electronic health records data

    Vivek A. Rudrapatna / Yao-Wen Cheng / Colin Feuille / Arman Mosenia / Jonathan Shih / Yongmei Shi / Olivia Roberson / Benjamin Rubin / Atul J. Butte / Uma Mahadevan / Nicholas Skomrock / Ngozi Erondu / Christel Chehoud / Saquib Rahim / David Apfel / Mark Curran / Najat S. Khan / Christopher O’Brien / Natalie Terry /
    Benjamin D. Martini

    PLoS ONE, Vol 18, Iss

    A pilot study

    2023  Volume 3

    Abstract: Background Randomized trials are the gold-standard for clinical evidence generation, but they can sometimes be limited by infeasibility and unclear generalizability to real-world practice. External control arm (ECA) studies may help address this evidence ...

    Abstract Background Randomized trials are the gold-standard for clinical evidence generation, but they can sometimes be limited by infeasibility and unclear generalizability to real-world practice. External control arm (ECA) studies may help address this evidence gaps by constructing retrospective cohorts that closely emulate prospective ones. Experience in constructing these outside the context of rare diseases or cancer is limited. We piloted an approach for developing an ECA in Crohn’s disease using electronic health records (EHR) data. Methods We queried EHR databases and manually screened records at the University of California, San Francisco to identify patients meeting the eligibility criteria of TRIDENT, a recently completed interventional trial involving an ustekinumab reference arm. We defined timepoints to balance missing data and bias. We compared imputation models by their impacts on cohort membership and outcomes. We assessed the accuracy of algorithmic data curation against manual review. Lastly, we assessed disease activity following treatment with ustekinumab. Results Screening identified 183 patients. 30% of the cohort had missing baseline data. Nonetheless, cohort membership and outcomes were robust to the method of imputation. Algorithms for ascertaining non-symptom-based elements of disease activity using structured data were accurate against manual review. The cohort consisted of 56 patients, exceeding planned enrollment in TRIDENT. 34% of the cohort was in steroid-free remission at week 24. Conclusion We piloted an approach for creating an ECA in Crohn’s disease from EHR data by using a combination of informatics and manual methods. However, our study reveals significant missing data when standard-of-care clinical data are repurposed. More work will be needed to improve the alignment of trial design with typical patterns of clinical practice, and thereby enable a future of more robust ECAs in chronic diseases like Crohn’s disease.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Case–control study of the association of chronic acid suppression and social determinants of health with COVID-19 infection

    Bing Zhang / Anna L. Silverman / Saroja Bangaru / Douglas Arneson / Sonya Dasharathy / Nghia Nguyen / Diane Rodden / Jonathan Shih / Atul J. Butte / Wael Noor El-Nachef / Brigid S. Boland / Vivek Ashok Rudrapatna

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 10

    Abstract: Abstract Acid suppressants are widely-used classes of medications linked to increased risks of aerodigestive infections. Prior studies of these medications as potentially reversible risk factors for COVID-19 have been conflicting. We aimed to determine ... ...

    Abstract Abstract Acid suppressants are widely-used classes of medications linked to increased risks of aerodigestive infections. Prior studies of these medications as potentially reversible risk factors for COVID-19 have been conflicting. We aimed to determine the impact of chronic acid suppression use on COVID-19 infection risk while simultaneously evaluating the influence of social determinants of health to validate known and discover novel risk factors. We assessed the association of chronic acid suppression with incident COVID-19 in a 1:1 case–control study of 900 patients tested across three academic medical centers in California, USA. Medical comorbidities and history of chronic acid suppression use were manually extracted from health records by physicians following a pre-specified protocol. Socio-behavioral factors by geomapping publicly-available data to patient zip codes were incorporated. We identified no evidence to support an association between chronic acid suppression and COVID-19 (adjusted odds ratio 1.04, 95% CI 0.92–1.17, P = 0.515). However, several medical and social features were positive (Latinx ethnicity, BMI ≥ 30, dementia, public transportation use, month of the pandemic) and negative (female sex, concurrent solid tumor, alcohol use disorder) predictors of new infection. These findings demonstrate the value of integrating publicly-available databases with medical data to identify critical features of communicable diseases.
    Keywords Medicine ; R ; Science ; Q
    Subject code 300
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Creation of an ustekinumab external control arm for Crohn's disease using electronic health records data

    Vivek A Rudrapatna / Yao-Wen Cheng / Colin Feuille / Arman Mosenia / Jonathan Shih / Yongmei Shi / Olivia Roberson / Benjamin Rubin / Atul J Butte / Uma Mahadevan / Nicholas Skomrock / Ngozi Erondu / Christel Chehoud / Saquib Rahim / David Apfel / Mark Curran / Najat S Khan / Christopher O'Brien / Natalie Terry /
    Benjamin D Martini

    PLoS ONE, Vol 18, Iss 3, p e

    A pilot study.

    2023  Volume 0282267

    Abstract: Background Randomized trials are the gold-standard for clinical evidence generation, but they can sometimes be limited by infeasibility and unclear generalizability to real-world practice. External control arm (ECA) studies may help address this evidence ...

    Abstract Background Randomized trials are the gold-standard for clinical evidence generation, but they can sometimes be limited by infeasibility and unclear generalizability to real-world practice. External control arm (ECA) studies may help address this evidence gaps by constructing retrospective cohorts that closely emulate prospective ones. Experience in constructing these outside the context of rare diseases or cancer is limited. We piloted an approach for developing an ECA in Crohn's disease using electronic health records (EHR) data. Methods We queried EHR databases and manually screened records at the University of California, San Francisco to identify patients meeting the eligibility criteria of TRIDENT, a recently completed interventional trial involving an ustekinumab reference arm. We defined timepoints to balance missing data and bias. We compared imputation models by their impacts on cohort membership and outcomes. We assessed the accuracy of algorithmic data curation against manual review. Lastly, we assessed disease activity following treatment with ustekinumab. Results Screening identified 183 patients. 30% of the cohort had missing baseline data. Nonetheless, cohort membership and outcomes were robust to the method of imputation. Algorithms for ascertaining non-symptom-based elements of disease activity using structured data were accurate against manual review. The cohort consisted of 56 patients, exceeding planned enrollment in TRIDENT. 34% of the cohort was in steroid-free remission at week 24. Conclusion We piloted an approach for creating an ECA in Crohn's disease from EHR data by using a combination of informatics and manual methods. However, our study reveals significant missing data when standard-of-care clinical data are repurposed. More work will be needed to improve the alignment of trial design with typical patterns of clinical practice, and thereby enable a future of more robust ECAs in chronic diseases like Crohn's disease.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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