Construction and Analysis of Risk Prediction Model of Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Cross‐Sectional Study in Northwest China
ABSTRACT Objective To provide guidance for clinical endotypes by constructing a risk‐predictive model of eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP). Design A cross‐sectional study. Setting Single‐centre trial at tertiary medical institutions. Participants A cross‐sectional study...
Gespeichert in:
| Veröffentlicht in: | Clinical otolaryngology 2025-01, Vol.50 (1), p.39-45 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 45 |
|---|---|
| container_issue | 1 |
| container_start_page | 39 |
| container_title | Clinical otolaryngology |
| container_volume | 50 |
| creator | Yuan, Huajie Yang, Yuping Zhang, Bo Li, Ang Su, Jiang Ding, Xiaoyan Yan, Haisu Zhang, Hua |
| description | ABSTRACT
Objective
To provide guidance for clinical endotypes by constructing a risk‐predictive model of eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP).
Design
A cross‐sectional study.
Setting
Single‐centre trial at tertiary medical institutions.
Participants
A cross‐sectional study included 343 CRSwNP patients divided into ECRSwNP (n = 237) and non‐ECRSwNP (n = 106) groups using surgical pathology.
Main Outcome Measures
Single‐factor and multivariate analysis were used to identify statistically significant variables for constructing a nomogram, including the history of AR, hyposmia score, ethmoid sinus score, BEP and BEC. The model's performance was evaluated based on the receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).
Results
Allergic rhinitis, hyposmia score, ethmoid sinus score, peripheral blood eosinophil percentage (BEP) and eosinophil count (BEC) were retained for the construction nomogram of ECRSwNP. The nomogram exhibited a certain accuracy, with an AUC of 0.897 (95% CI: 0.864–0.930), good agreement in the calibration curve and a 0.891 C‐index of internal validation. Moreover, the DCA with a threshold probability between 0.0167 and 1.00 indicated a higher net benefit and greater clinical utility.
Conclusion
The construction of a predictive risk model of ECRSwNP based on easily accessible factors could assist clinicians in more conveniently defining endotypes to make optimal diagnoses and treatment choices. |
| doi_str_mv | 10.1111/coa.14225 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3104819673</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3104819673</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2435-727a4a925b6ef912046e4c9e4c85c07ce8953c61131ca13bccd4e8d0728d15a03</originalsourceid><addsrcrecordid>eNp1kc9O3DAQxq2qCChw6AtUlnppDwt27MRJb6uIFiTYRfxRj5HX8SqmXnuxE6Hc-gg998Sz8Cg8CbObhQMSlqyxZn7zWTMfQp8pOaRwjpSXh5QnSfoB7VLBixHnefbx9S3yHfQpxltCOCOCbqMdViQiLTKxi_6X3sU2dKo13mHpajx20vbRROzn-NLEP_gi6NoM9XNfa7sqHPtonF82xhqFyyZ4B_GygRzku2ha6P9t2gZPZJQWX3jbL-MPPH58KIOP8envvyu9loTiVdvVPTYOT3xom3sdW1A0Tu6jrbm0UR9s4h66-Xl8XZ6Mzqa_Tsvx2UglnKUjkQjJZZGks0zPC5oQnmmuCrh5qohQOi9SpjJKGVWSsplSNdd5TUSS1zSVhO2hb4PuMvi7Dr6vFiYqba102nexYpTwnMK2GKBf36C3vgswxIrisNsCIKC-D5RazRr0vFoGs5ChryipVoZVYFi1NgzYLxvFbrbQ9Sv54hAARwNwb6zu31eqyul4kHwGfAWiWA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3140719733</pqid></control><display><type>article</type><title>Construction and Analysis of Risk Prediction Model of Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Cross‐Sectional Study in Northwest China</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Yuan, Huajie ; Yang, Yuping ; Zhang, Bo ; Li, Ang ; Su, Jiang ; Ding, Xiaoyan ; Yan, Haisu ; Zhang, Hua</creator><creatorcontrib>Yuan, Huajie ; Yang, Yuping ; Zhang, Bo ; Li, Ang ; Su, Jiang ; Ding, Xiaoyan ; Yan, Haisu ; Zhang, Hua</creatorcontrib><description>ABSTRACT
Objective
To provide guidance for clinical endotypes by constructing a risk‐predictive model of eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP).
Design
A cross‐sectional study.
Setting
Single‐centre trial at tertiary medical institutions.
Participants
A cross‐sectional study included 343 CRSwNP patients divided into ECRSwNP (n = 237) and non‐ECRSwNP (n = 106) groups using surgical pathology.
Main Outcome Measures
Single‐factor and multivariate analysis were used to identify statistically significant variables for constructing a nomogram, including the history of AR, hyposmia score, ethmoid sinus score, BEP and BEC. The model's performance was evaluated based on the receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).
Results
Allergic rhinitis, hyposmia score, ethmoid sinus score, peripheral blood eosinophil percentage (BEP) and eosinophil count (BEC) were retained for the construction nomogram of ECRSwNP. The nomogram exhibited a certain accuracy, with an AUC of 0.897 (95% CI: 0.864–0.930), good agreement in the calibration curve and a 0.891 C‐index of internal validation. Moreover, the DCA with a threshold probability between 0.0167 and 1.00 indicated a higher net benefit and greater clinical utility.
Conclusion
The construction of a predictive risk model of ECRSwNP based on easily accessible factors could assist clinicians in more conveniently defining endotypes to make optimal diagnoses and treatment choices.</description><identifier>ISSN: 1749-4478</identifier><identifier>ISSN: 1749-4486</identifier><identifier>EISSN: 1749-4486</identifier><identifier>DOI: 10.1111/coa.14225</identifier><identifier>PMID: 39275967</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adult ; Allergic rhinitis ; Calibration ; China - epidemiology ; Chronic Disease ; chronic rhinosinusitis ; Cross-Sectional Studies ; Eosinophilia - complications ; Eosinophilia - diagnosis ; Eosinophilia - epidemiology ; Eosinophils ; Female ; Health care facilities ; Humans ; Leukocytes (eosinophilic) ; Male ; Middle Aged ; Multivariate analysis ; nasal polyps ; Nasal Polyps - complications ; Nasal Polyps - diagnosis ; Nasal Polyps - epidemiology ; nomogram ; Nomograms ; Olfaction disorders ; Peripheral blood ; Polyps ; Prediction models ; Predictions ; Rhinitis - complications ; Rhinitis - diagnosis ; Rhinosinusitis ; risk ; Risk Assessment ; ROC Curve ; Sinusitis - complications ; Sinusitis - diagnosis ; Sinusitis - epidemiology ; Statistical analysis</subject><ispartof>Clinical otolaryngology, 2025-01, Vol.50 (1), p.39-45</ispartof><rights>2024 John Wiley & Sons Ltd.</rights><rights>2025 John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2435-727a4a925b6ef912046e4c9e4c85c07ce8953c61131ca13bccd4e8d0728d15a03</cites><orcidid>0000-0002-3277-6183</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fcoa.14225$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fcoa.14225$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39275967$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yuan, Huajie</creatorcontrib><creatorcontrib>Yang, Yuping</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Li, Ang</creatorcontrib><creatorcontrib>Su, Jiang</creatorcontrib><creatorcontrib>Ding, Xiaoyan</creatorcontrib><creatorcontrib>Yan, Haisu</creatorcontrib><creatorcontrib>Zhang, Hua</creatorcontrib><title>Construction and Analysis of Risk Prediction Model of Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Cross‐Sectional Study in Northwest China</title><title>Clinical otolaryngology</title><addtitle>Clin Otolaryngol</addtitle><description>ABSTRACT
Objective
To provide guidance for clinical endotypes by constructing a risk‐predictive model of eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP).
Design
A cross‐sectional study.
Setting
Single‐centre trial at tertiary medical institutions.
Participants
A cross‐sectional study included 343 CRSwNP patients divided into ECRSwNP (n = 237) and non‐ECRSwNP (n = 106) groups using surgical pathology.
Main Outcome Measures
Single‐factor and multivariate analysis were used to identify statistically significant variables for constructing a nomogram, including the history of AR, hyposmia score, ethmoid sinus score, BEP and BEC. The model's performance was evaluated based on the receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).
Results
Allergic rhinitis, hyposmia score, ethmoid sinus score, peripheral blood eosinophil percentage (BEP) and eosinophil count (BEC) were retained for the construction nomogram of ECRSwNP. The nomogram exhibited a certain accuracy, with an AUC of 0.897 (95% CI: 0.864–0.930), good agreement in the calibration curve and a 0.891 C‐index of internal validation. Moreover, the DCA with a threshold probability between 0.0167 and 1.00 indicated a higher net benefit and greater clinical utility.
Conclusion
The construction of a predictive risk model of ECRSwNP based on easily accessible factors could assist clinicians in more conveniently defining endotypes to make optimal diagnoses and treatment choices.</description><subject>Adult</subject><subject>Allergic rhinitis</subject><subject>Calibration</subject><subject>China - epidemiology</subject><subject>Chronic Disease</subject><subject>chronic rhinosinusitis</subject><subject>Cross-Sectional Studies</subject><subject>Eosinophilia - complications</subject><subject>Eosinophilia - diagnosis</subject><subject>Eosinophilia - epidemiology</subject><subject>Eosinophils</subject><subject>Female</subject><subject>Health care facilities</subject><subject>Humans</subject><subject>Leukocytes (eosinophilic)</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>nasal polyps</subject><subject>Nasal Polyps - complications</subject><subject>Nasal Polyps - diagnosis</subject><subject>Nasal Polyps - epidemiology</subject><subject>nomogram</subject><subject>Nomograms</subject><subject>Olfaction disorders</subject><subject>Peripheral blood</subject><subject>Polyps</subject><subject>Prediction models</subject><subject>Predictions</subject><subject>Rhinitis - complications</subject><subject>Rhinitis - diagnosis</subject><subject>Rhinosinusitis</subject><subject>risk</subject><subject>Risk Assessment</subject><subject>ROC Curve</subject><subject>Sinusitis - complications</subject><subject>Sinusitis - diagnosis</subject><subject>Sinusitis - epidemiology</subject><subject>Statistical analysis</subject><issn>1749-4478</issn><issn>1749-4486</issn><issn>1749-4486</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc9O3DAQxq2qCChw6AtUlnppDwt27MRJb6uIFiTYRfxRj5HX8SqmXnuxE6Hc-gg998Sz8Cg8CbObhQMSlqyxZn7zWTMfQp8pOaRwjpSXh5QnSfoB7VLBixHnefbx9S3yHfQpxltCOCOCbqMdViQiLTKxi_6X3sU2dKo13mHpajx20vbRROzn-NLEP_gi6NoM9XNfa7sqHPtonF82xhqFyyZ4B_GygRzku2ha6P9t2gZPZJQWX3jbL-MPPH58KIOP8envvyu9loTiVdvVPTYOT3xom3sdW1A0Tu6jrbm0UR9s4h66-Xl8XZ6Mzqa_Tsvx2UglnKUjkQjJZZGks0zPC5oQnmmuCrh5qohQOi9SpjJKGVWSsplSNdd5TUSS1zSVhO2hb4PuMvi7Dr6vFiYqba102nexYpTwnMK2GKBf36C3vgswxIrisNsCIKC-D5RazRr0vFoGs5ChryipVoZVYFi1NgzYLxvFbrbQ9Sv54hAARwNwb6zu31eqyul4kHwGfAWiWA</recordid><startdate>202501</startdate><enddate>202501</enddate><creator>Yuan, Huajie</creator><creator>Yang, Yuping</creator><creator>Zhang, Bo</creator><creator>Li, Ang</creator><creator>Su, Jiang</creator><creator>Ding, Xiaoyan</creator><creator>Yan, Haisu</creator><creator>Zhang, Hua</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3277-6183</orcidid></search><sort><creationdate>202501</creationdate><title>Construction and Analysis of Risk Prediction Model of Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Cross‐Sectional Study in Northwest China</title><author>Yuan, Huajie ; Yang, Yuping ; Zhang, Bo ; Li, Ang ; Su, Jiang ; Ding, Xiaoyan ; Yan, Haisu ; Zhang, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2435-727a4a925b6ef912046e4c9e4c85c07ce8953c61131ca13bccd4e8d0728d15a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Adult</topic><topic>Allergic rhinitis</topic><topic>Calibration</topic><topic>China - epidemiology</topic><topic>Chronic Disease</topic><topic>chronic rhinosinusitis</topic><topic>Cross-Sectional Studies</topic><topic>Eosinophilia - complications</topic><topic>Eosinophilia - diagnosis</topic><topic>Eosinophilia - epidemiology</topic><topic>Eosinophils</topic><topic>Female</topic><topic>Health care facilities</topic><topic>Humans</topic><topic>Leukocytes (eosinophilic)</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>nasal polyps</topic><topic>Nasal Polyps - complications</topic><topic>Nasal Polyps - diagnosis</topic><topic>Nasal Polyps - epidemiology</topic><topic>nomogram</topic><topic>Nomograms</topic><topic>Olfaction disorders</topic><topic>Peripheral blood</topic><topic>Polyps</topic><topic>Prediction models</topic><topic>Predictions</topic><topic>Rhinitis - complications</topic><topic>Rhinitis - diagnosis</topic><topic>Rhinosinusitis</topic><topic>risk</topic><topic>Risk Assessment</topic><topic>ROC Curve</topic><topic>Sinusitis - complications</topic><topic>Sinusitis - diagnosis</topic><topic>Sinusitis - epidemiology</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Huajie</creatorcontrib><creatorcontrib>Yang, Yuping</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Li, Ang</creatorcontrib><creatorcontrib>Su, Jiang</creatorcontrib><creatorcontrib>Ding, Xiaoyan</creatorcontrib><creatorcontrib>Yan, Haisu</creatorcontrib><creatorcontrib>Zhang, Hua</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical otolaryngology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Huajie</au><au>Yang, Yuping</au><au>Zhang, Bo</au><au>Li, Ang</au><au>Su, Jiang</au><au>Ding, Xiaoyan</au><au>Yan, Haisu</au><au>Zhang, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Construction and Analysis of Risk Prediction Model of Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Cross‐Sectional Study in Northwest China</atitle><jtitle>Clinical otolaryngology</jtitle><addtitle>Clin Otolaryngol</addtitle><date>2025-01</date><risdate>2025</risdate><volume>50</volume><issue>1</issue><spage>39</spage><epage>45</epage><pages>39-45</pages><issn>1749-4478</issn><issn>1749-4486</issn><eissn>1749-4486</eissn><abstract>ABSTRACT
Objective
To provide guidance for clinical endotypes by constructing a risk‐predictive model of eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP).
Design
A cross‐sectional study.
Setting
Single‐centre trial at tertiary medical institutions.
Participants
A cross‐sectional study included 343 CRSwNP patients divided into ECRSwNP (n = 237) and non‐ECRSwNP (n = 106) groups using surgical pathology.
Main Outcome Measures
Single‐factor and multivariate analysis were used to identify statistically significant variables for constructing a nomogram, including the history of AR, hyposmia score, ethmoid sinus score, BEP and BEC. The model's performance was evaluated based on the receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).
Results
Allergic rhinitis, hyposmia score, ethmoid sinus score, peripheral blood eosinophil percentage (BEP) and eosinophil count (BEC) were retained for the construction nomogram of ECRSwNP. The nomogram exhibited a certain accuracy, with an AUC of 0.897 (95% CI: 0.864–0.930), good agreement in the calibration curve and a 0.891 C‐index of internal validation. Moreover, the DCA with a threshold probability between 0.0167 and 1.00 indicated a higher net benefit and greater clinical utility.
Conclusion
The construction of a predictive risk model of ECRSwNP based on easily accessible factors could assist clinicians in more conveniently defining endotypes to make optimal diagnoses and treatment choices.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>39275967</pmid><doi>10.1111/coa.14225</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-3277-6183</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1749-4478 |
| ispartof | Clinical otolaryngology, 2025-01, Vol.50 (1), p.39-45 |
| issn | 1749-4478 1749-4486 1749-4486 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3104819673 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Adult Allergic rhinitis Calibration China - epidemiology Chronic Disease chronic rhinosinusitis Cross-Sectional Studies Eosinophilia - complications Eosinophilia - diagnosis Eosinophilia - epidemiology Eosinophils Female Health care facilities Humans Leukocytes (eosinophilic) Male Middle Aged Multivariate analysis nasal polyps Nasal Polyps - complications Nasal Polyps - diagnosis Nasal Polyps - epidemiology nomogram Nomograms Olfaction disorders Peripheral blood Polyps Prediction models Predictions Rhinitis - complications Rhinitis - diagnosis Rhinosinusitis risk Risk Assessment ROC Curve Sinusitis - complications Sinusitis - diagnosis Sinusitis - epidemiology Statistical analysis |
| title | Construction and Analysis of Risk Prediction Model of Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Cross‐Sectional Study in Northwest China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T20%3A12%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Construction%20and%20Analysis%20of%20Risk%20Prediction%20Model%20of%20Eosinophilic%20Chronic%20Rhinosinusitis%20With%20Nasal%20Polyps:%20A%C2%A0Cross%E2%80%90Sectional%20Study%20in%20Northwest%20China&rft.jtitle=Clinical%20otolaryngology&rft.au=Yuan,%20Huajie&rft.date=2025-01&rft.volume=50&rft.issue=1&rft.spage=39&rft.epage=45&rft.pages=39-45&rft.issn=1749-4478&rft.eissn=1749-4486&rft_id=info:doi/10.1111/coa.14225&rft_dat=%3Cproquest_cross%3E3104819673%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3140719733&rft_id=info:pmid/39275967&rfr_iscdi=true |