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Published by铜盎 邴 Modified over 5 years ago
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Cluster analysis and prediction of treatment outcomes for chronic rhinosinusitis
Zachary M. Soler, MD, MSc, J. Madison Hyer, MS, Luke Rudmik, MD, MSc, Viswanathan Ramakrishnan, PhD, Timothy L. Smith, MD, MPH, Rodney J. Schlosser, MD Journal of Allergy and Clinical Immunology Volume 137, Issue 4, Pages (April 2016) DOI: /j.jaci Copyright © 2015 American Academy of Allergy, Asthma & Immunology Terms and Conditions
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Fig 1 Clinical algorithm used to define clusters. The above algorithm was used to classify patients into the 5 statistical clusters by using simple clinical measures. Lost Productivity is the number of work days missed in the last 90 days. Printed with permission from Medical University of South Carolina Rhinology. Journal of Allergy and Clinical Immunology , DOI: ( /j.jaci ) Copyright © 2015 American Academy of Allergy, Asthma & Immunology Terms and Conditions
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Fig 2 SNOT-22 and RSDI overall outcomes between clusters treated with surgery or continuing medication only. *P < .05. Journal of Allergy and Clinical Immunology , DOI: ( /j.jaci ) Copyright © 2015 American Academy of Allergy, Asthma & Immunology Terms and Conditions
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Fig 3 SNOT-22 outcomes by individual domain between clusters treated with surgery or continuing medication only. *P < .05. Journal of Allergy and Clinical Immunology , DOI: ( /j.jaci ) Copyright © 2015 American Academy of Allergy, Asthma & Immunology Terms and Conditions
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Fig 4 RSDI outcomes by subscale score between clusters treated with surgery or continuing medication only. *P < .05. Journal of Allergy and Clinical Immunology , DOI: ( /j.jaci ) Copyright © 2015 American Academy of Allergy, Asthma & Immunology Terms and Conditions
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