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Myeloid-associated differentiation marker is a novel SP-A-associated transmembrane protein whose expression on airway epithelial cells correlates with asthma severity.

Scientific reports

Dy ABC, Langlais PR, Barker NK, Addison KJ, Tanyaratsrisakul S, Boitano S, Christenson SA, Kraft M, Meyers D, Bleecker ER, Li X, Ledford JG.
PMID: 34862427
Sci Rep. 2021 Dec 03;11(1):23392. doi: 10.1038/s41598-021-02869-w.

Surfactant protein A (SP-A) is well-known for its protective role in pulmonary immunity. Previous studies from our group have shown that SP-A mediates eosinophil activities, including degranulation and apoptosis. In order to identify potential binding partners on eosinophils for...

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Dy ABC, Langlais PR, Barker NK, et al. Myeloid-associated differentiation marker is a novel SP-A-associated transmembrane protein whose expression on airway epithelial cells correlates with asthma severity. Sci Rep. 2021;11(1):23392doi: 10.1038/s41598-021-02869-w.
Dy, A. B. C., Langlais, P. R., Barker, N. K., Addison, K. J., Tanyaratsrisakul, S., Boitano, S., Christenson, S. A., Kraft, M., Meyers, D., Bleecker, E. R., Li, X., & Ledford, J. G. (2021). Myeloid-associated differentiation marker is a novel SP-A-associated transmembrane protein whose expression on airway epithelial cells correlates with asthma severity. Scientific reports, 11(1), 23392. https://doi.org/10.1038/s41598-021-02869-w
Dy, Alane Blythe C, et al. "Myeloid-associated differentiation marker is a novel SP-A-associated transmembrane protein whose expression on airway epithelial cells correlates with asthma severity." Scientific reports vol. 11,1 (2021): 23392. doi: https://doi.org/10.1038/s41598-021-02869-w
Dy ABC, Langlais PR, Barker NK, Addison KJ, Tanyaratsrisakul S, Boitano S, Christenson SA, Kraft M, Meyers D, Bleecker ER, Li X, Ledford JG. Myeloid-associated differentiation marker is a novel SP-A-associated transmembrane protein whose expression on airway epithelial cells correlates with asthma severity. Sci Rep. 2021 Dec 03;11(1):23392. doi: 10.1038/s41598-021-02869-w. PMID: 34862427; PMCID: PMC8642528.
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Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City.

Journal of clinical medicine

Zucker J, Gomez-Simmonds A, Purpura LJ, Shoucri S, LaSota E, Morley NE, Sovic BW, Castellon MA, Theodore DA, Bartram LL, Miko BA, Scherer ML, Meyers KA, Turner WC, Kelly M, Pavlicova M, Basaraba CN, Baldwin MR, Brodie D, Burkart KM, Bathon J, Uhlemann AC, Yin MT, Castor D, Sobieszczyk ME.
PMID: 34441819
J Clin Med. 2021 Aug 11;10(16). doi: 10.3390/jcm10163523.

BACKGROUND: The progression of clinical manifestations in patients with coronavirus disease 2019 (COVID-19) highlights the need to account for symptom duration at the time of hospital presentation in decision-making algorithms.METHODS: We performed a nested case-control analysis of 4103 adult...

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Zucker J, Gomez-Simmonds A, Purpura LJ, et al. Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. J Clin Med. 2021;10(16)doi: 10.3390/jcm10163523.
Zucker, J., Gomez-Simmonds, A., Purpura, L. J., Shoucri, S., LaSota, E., Morley, N. E., Sovic, B. W., Castellon, M. A., Theodore, D. A., Bartram, L. L., Miko, B. A., Scherer, M. L., Meyers, K. A., Turner, W. C., Kelly, M., Pavlicova, M., Basaraba, C. N., Baldwin, M. R., Brodie, D., Burkart, K. M., Bathon, J., Uhlemann, A. C., Yin, M. T., Castor, D., & Sobieszczyk, M. E. (2021). Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. Journal of clinical medicine, 10(16), . https://doi.org/10.3390/jcm10163523
Zucker, Jason, et al. "Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City." Journal of clinical medicine vol. 10,16 (2021). doi: https://doi.org/10.3390/jcm10163523
Zucker J, Gomez-Simmonds A, Purpura LJ, Shoucri S, LaSota E, Morley NE, Sovic BW, Castellon MA, Theodore DA, Bartram LL, Miko BA, Scherer ML, Meyers KA, Turner WC, Kelly M, Pavlicova M, Basaraba CN, Baldwin MR, Brodie D, Burkart KM, Bathon J, Uhlemann AC, Yin MT, Castor D, Sobieszczyk ME. Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. J Clin Med. 2021 Aug 11;10(16). doi: 10.3390/jcm10163523. PMID: 34441819; PMCID: PMC8397083.
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Accuracy of OMI ECG findings versus STEMI criteria for diagnosis of acute coronary occlusion myocardial infarction.

International journal of cardiology. Heart & vasculature

Pendell Meyers H, Bracey A, Lee D, Lichtenheld A, Li WJ, Singer DD, Rollins Z, Kane JA, Dodd KW, Meyers KE, Shroff GR, Singer AJ, Smith SW.
PMID: 33912650
Int J Cardiol Heart Vasc. 2021 Apr 12;33:100767. doi: 10.1016/j.ijcha.2021.100767. eCollection 2021 Apr.

OBJECTIVE: In the STEMI paradigm of Acute Myocardial Infarction (AMI), many NSTEMI patients have unrecognized acute coronary occlusion MI (OMI), may not receive emergent reperfusion, and have higher mortality than NSTEMI patients without occlusion. We have proposed a new...

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Pendell Meyers H, Bracey A, Lee D, et al. Accuracy of OMI ECG findings versus STEMI criteria for diagnosis of acute coronary occlusion myocardial infarction. Int J Cardiol Heart Vasc. 2021;33:100767doi: 10.1016/j.ijcha.2021.100767.
Pendell Meyers, H., Bracey, A., Lee, D., Lichtenheld, A., Li, W. J., Singer, D. D., Rollins, Z., Kane, J. A., Dodd, K. W., Meyers, K. E., Shroff, G. R., Singer, A. J., & Smith, S. W. (2021). Accuracy of OMI ECG findings versus STEMI criteria for diagnosis of acute coronary occlusion myocardial infarction. International journal of cardiology. Heart & vasculature, 33100767. https://doi.org/10.1016/j.ijcha.2021.100767
Pendell Meyers, H, et al. "Accuracy of OMI ECG findings versus STEMI criteria for diagnosis of acute coronary occlusion myocardial infarction." International journal of cardiology. Heart & vasculature vol. 33 (2021): 100767. doi: https://doi.org/10.1016/j.ijcha.2021.100767
Pendell Meyers H, Bracey A, Lee D, Lichtenheld A, Li WJ, Singer DD, Rollins Z, Kane JA, Dodd KW, Meyers KE, Shroff GR, Singer AJ, Smith SW. Accuracy of OMI ECG findings versus STEMI criteria for diagnosis of acute coronary occlusion myocardial infarction. Int J Cardiol Heart Vasc. 2021 Apr 12;33:100767. doi: 10.1016/j.ijcha.2021.100767. eCollection 2021 Apr. PMID: 33912650; PMCID: PMC8065286.
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Effect of adrenocorticotropic hormone infusion on circulating sclerostin levels.

Endocrine connections

Zaheer S, Meyer K, Easly R, Bayomy O, Leung J, Koefoed AW, Heydarpour M, Freeman R, Adler GK.
PMID: 34788228
Endocr Connect. 2021 Dec 14;10(12):1607-1614. doi: 10.1530/EC-21-0263.

Glucocorticoid use is the most common cause of secondary osteoporosis. Poor skeletal health related to glucocorticoid use is thought to involve inhibition of the Wnt/β-catenin signaling pathway, a key pathway in osteoblastogenesis. Sclerostin, a peptide produced primarily by osteocytes,...

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Zaheer S, Meyer K, Easly R, et al. Effect of adrenocorticotropic hormone infusion on circulating sclerostin levels. Endocr Connect. 2021;10(12):1607-1614doi: 10.1530/EC-21-0263.
Zaheer, S., Meyer, K., Easly, R., Bayomy, O., Leung, J., Koefoed, A. W., Heydarpour, M., Freeman, R., & Adler, G. K. (2021). Effect of adrenocorticotropic hormone infusion on circulating sclerostin levels. Endocrine connections, 10(12), 1607-1614. https://doi.org/10.1530/EC-21-0263
Zaheer, Sarah, et al. "Effect of adrenocorticotropic hormone infusion on circulating sclerostin levels." Endocrine connections vol. 10,12 (2021): 1607-1614. doi: https://doi.org/10.1530/EC-21-0263
Zaheer S, Meyer K, Easly R, Bayomy O, Leung J, Koefoed AW, Heydarpour M, Freeman R, Adler GK. Effect of adrenocorticotropic hormone infusion on circulating sclerostin levels. Endocr Connect. 2021 Dec 14;10(12):1607-1614. doi: 10.1530/EC-21-0263. PMID: 34788228.
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Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability.

EClinicalMedicine

Sandhu A, Korzeniewski SJ, Polistico J, Pinnamaneni H, Reddy SN, Oudeif A, Meyers J, Sidhu N, Levy P, Samavati L, Badr MS, Sobel JD, Sherwin R, Chopra T.
PMID: 33842873
EClinicalMedicine. 2021 Apr;34:100814. doi: 10.1016/j.eclinm.2021.100814. Epub 2021 Apr 06.

BACKGROUND: the incidence of novel coronavirus disease (COVID19) is elevated in areas with heightened socioeconomic vulnerability. Early reports from US hospitals also implicated social disadvantage and chronic disease history as COVID19 mortality risk factors. However, the relationship between race...

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Sandhu A, Korzeniewski SJ, Polistico J, et al. Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability. EClinicalMedicine. 2021;34:100814doi: 10.1016/j.eclinm.2021.100814.
Sandhu, A., Korzeniewski, S. J., Polistico, J., Pinnamaneni, H., Reddy, S. N., Oudeif, A., Meyers, J., Sidhu, N., Levy, P., Samavati, L., Badr, M. S., Sobel, J. D., Sherwin, R., & Chopra, T. (2021). Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability. EClinicalMedicine, 34100814. https://doi.org/10.1016/j.eclinm.2021.100814
Sandhu, Avnish, et al. "Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability." EClinicalMedicine vol. 34 (2021): 100814. doi: https://doi.org/10.1016/j.eclinm.2021.100814
Sandhu A, Korzeniewski SJ, Polistico J, Pinnamaneni H, Reddy SN, Oudeif A, Meyers J, Sidhu N, Levy P, Samavati L, Badr MS, Sobel JD, Sherwin R, Chopra T. Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability. EClinicalMedicine. 2021 Apr;34:100814. doi: 10.1016/j.eclinm.2021.100814. Epub 2021 Apr 06. PMID: 33842873; PMCID: PMC8022031.
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An analysis of the evidence underpinning the national comprehensive cancer network practice guidelines.

Critical reviews in oncology/hematology

Love M, Staggs J, Walters C, Wayant C, Torgerson T, Hartwell M, Anderson JM, Lillie A, Myers K, Brachtenbach T, Derby M, Vassar M.
PMID: 34838981
Crit Rev Oncol Hematol. 2022 Jan;169:103549. doi: 10.1016/j.critrevonc.2021.103549. Epub 2021 Nov 25.

OBJECTIVE: This study assesses the quality and completeness of systematic reviews (SRs) included by the National Comprehensive Cancer Network (NCCN) cancer screening clinical practice guidelines (CPGs).METHODS: We evaluated SRs according to PRISMA (Preferred Reporting Items for Systematic Reviews and...

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Love M, Staggs J, Walters C, et al. An analysis of the evidence underpinning the national comprehensive cancer network practice guidelines. Crit Rev Oncol Hematol. 2021;169:103549doi: 10.1016/j.critrevonc.2021.103549.
Love, M., Staggs, J., Walters, C., Wayant, C., Torgerson, T., Hartwell, M., Anderson, J. M., Lillie, A., Myers, K., Brachtenbach, T., Derby, M., & Vassar, M. (2022). An analysis of the evidence underpinning the national comprehensive cancer network practice guidelines. Critical reviews in oncology/hematology, 169103549. https://doi.org/10.1016/j.critrevonc.2021.103549
Love, Mitchell, et al. "An analysis of the evidence underpinning the national comprehensive cancer network practice guidelines." Critical reviews in oncology/hematology vol. 169 (2022): 103549. doi: https://doi.org/10.1016/j.critrevonc.2021.103549
Love M, Staggs J, Walters C, Wayant C, Torgerson T, Hartwell M, Anderson JM, Lillie A, Myers K, Brachtenbach T, Derby M, Vassar M. An analysis of the evidence underpinning the national comprehensive cancer network practice guidelines. Crit Rev Oncol Hematol. 2022 Jan;169:103549. doi: 10.1016/j.critrevonc.2021.103549. Epub 2021 Nov 25. PMID: 34838981.
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The Effects of Social Distancing Policies on Non-SARS-CoV-2 Respiratory Pathogens.

Open forum infectious diseases

Nawrocki J, Olin K, Holdrege MC, Hartsell J, Meyers L, Cox C, Powell M, Cook CV, Jones J, Robbins T, Hemmert A, Ginocchio CC.
PMID: 34322558
Open Forum Infect Dis. 2021 Mar 17;8(7):ofab133. doi: 10.1093/ofid/ofab133. eCollection 2021 Jul.

BACKGROUND: The initial focus of the US public health response to coronavirus disease 2019 (COVID-19) was the implementation of numerous social distancing policies. While COVID-19 was the impetus for imposing these policies, it is not the only respiratory disease...

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Nawrocki J, Olin K, Holdrege MC, et al. The Effects of Social Distancing Policies on Non-SARS-CoV-2 Respiratory Pathogens. Open Forum Infect Dis. 2021;8(7):ofab133doi: 10.1093/ofid/ofab133.
Nawrocki, J., Olin, K., Holdrege, M. C., Hartsell, J., Meyers, L., Cox, C., Powell, M., Cook, C. V., Jones, J., Robbins, T., Hemmert, A., & Ginocchio, C. C. (2021). The Effects of Social Distancing Policies on Non-SARS-CoV-2 Respiratory Pathogens. Open forum infectious diseases, 8(7), ofab133. https://doi.org/10.1093/ofid/ofab133
Nawrocki, Jeff, et al. "The Effects of Social Distancing Policies on Non-SARS-CoV-2 Respiratory Pathogens." Open forum infectious diseases vol. 8,7 (2021): ofab133. doi: https://doi.org/10.1093/ofid/ofab133
Nawrocki J, Olin K, Holdrege MC, Hartsell J, Meyers L, Cox C, Powell M, Cook CV, Jones J, Robbins T, Hemmert A, Ginocchio CC. The Effects of Social Distancing Policies on Non-SARS-CoV-2 Respiratory Pathogens. Open Forum Infect Dis. 2021 Mar 17;8(7):ofab133. doi: 10.1093/ofid/ofab133. eCollection 2021 Jul. PMID: 34322558; PMCID: PMC7989184.
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Showing 817 to 823 of 823 entries