Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica
Introduction: To reach the diagnosis of giant cell arteritis (GCA), signs, symptoms, laboratory tests, imaging findings, and occasionally anatomopathological results from temporal artery biopsy are evaluated. This study describes the results of an algorithm analysis based on clinical and ultrasound...
| Authors: | , , , , , , , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Universidad de Barcelona |
| Repository: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/215761 |
| Online Access: | https://hdl.handle.net/2445/215761 |
| Access Level: | Open access |
| Keyword: | Arteritis de cèl·lules gegants Ecografia Doppler Giant cell arteritis Doppler ultrasonography |
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Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínicaEstrada, PaulaMoya, PatriciaNarváez García, Francisco JavierMoragues, CarmenNavarro, VanessaCamacho, OscarRoig, DanielCerdà, DaciaHeredia, SergiReina, DeliaCorominas, HèctorArteritis de cèl·lules gegantsEcografia DopplerGiant cell arteritisDoppler ultrasonographyIntroduction: To reach the diagnosis of giant cell arteritis (GCA), signs, symptoms, laboratory tests, imaging findings, and occasionally anatomopathological results from temporal artery biopsy are evaluated. This study describes the results of an algorithm analysis based on clinical and ultrasound evaluation of patients with suspected GCA, highlighting its diagnostic utility by contrasting its use in different clinical suspicion scenarios. Method: Prospective multicenter study evaluating patients referred with suspected GCA through a preferential circuit (fast track), grouping them according to low or high clinical suspicion of GCA. Each of these scenarios is evaluated by biopsy and ultrasound for all patients, resulting in positive, indeterminate, or negative outcomes, yielding six possible groups. Potential areas of improvement are explored, emphasizing that, following a negative or indeterminate ultrasound, 18-FDG-PET-CT could be recommended. We analyze the results and application of a diagnostic algorithm, confirming its efficiency and applicability based on whether there is high or low clinical suspicion. Results: Sixty-nine patients (41 in the high suspicion group and 28 in the low suspicion group). There were 41 new diagnoses of GCA: 35 in the high suspicion group and 6 in the low suspicion group. Using ultrasound alone, the initial algorithm has an overall diagnostic efficiency of 72.5%, which improves to 80.5% when including 18F-FDG-PET/CT. The negative predictive value of ultrasound in patients with low clinical suspicion is 84.6%, and the positive predictive value of ultrasound in patients with high suspicion is 100%, improving sensitivity from 57.1% to 80.8% with 18F-FDG-PET/CT in this scenario. Temporal artery biopsy was performed on all patients, with no differences in sensitivity or specificity compared to ultrasound. In cases where all three tests - ultrasound, biopsy, and 18F-FDG-PET/CT - are performed, sensitivity increases to 92.3% in patients with high clinical suspicion. Conclusion: In situations of high clinical suspicion, the algorithm provides sufficient information for the diagnosis of GCA if ultrasound is positive. A negative ultrasound is sufficient to rule out the diagnosis in the context of low clinical suspicion. 18-FDG-PET-CT may be useful in patients with high suspicion and negative or indeterminate ultrasound results. (c) 2024 The Authors. Published by Elsevier Espana, a, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Elsevier BV2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/215761Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1016/j.medcli.2023.11.021Medicina Clínica, 2024, vol. 163, num. 3, p. 107-114https://doi.org/10.1016/j.medcli.2023.11.021cc by-nc-nd (c) Estrada, Paula et al., 2024http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2157612026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| title |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| spellingShingle |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica Estrada, Paula Arteritis de cèl·lules gegants Ecografia Doppler Giant cell arteritis Doppler ultrasonography |
| title_short |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| title_full |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| title_fullStr |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| title_full_unstemmed |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| title_sort |
Utilidad de la aplicación de un algoritmo diagnóstico en la arteritis de células gigantes en función del grado de sospecha clínica |
| dc.creator.none.fl_str_mv |
Estrada, Paula Moya, Patricia Narváez García, Francisco Javier Moragues, Carmen Navarro, Vanessa Camacho, Oscar Roig, Daniel Cerdà, Dacia Heredia, Sergi Reina, Delia Corominas, Hèctor |
| author |
Estrada, Paula |
| author_facet |
Estrada, Paula Moya, Patricia Narváez García, Francisco Javier Moragues, Carmen Navarro, Vanessa Camacho, Oscar Roig, Daniel Cerdà, Dacia Heredia, Sergi Reina, Delia Corominas, Hèctor |
| author_role |
author |
| author2 |
Moya, Patricia Narváez García, Francisco Javier Moragues, Carmen Navarro, Vanessa Camacho, Oscar Roig, Daniel Cerdà, Dacia Heredia, Sergi Reina, Delia Corominas, Hèctor |
| author2_role |
author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Arteritis de cèl·lules gegants Ecografia Doppler Giant cell arteritis Doppler ultrasonography |
| topic |
Arteritis de cèl·lules gegants Ecografia Doppler Giant cell arteritis Doppler ultrasonography |
| description |
Introduction: To reach the diagnosis of giant cell arteritis (GCA), signs, symptoms, laboratory tests, imaging findings, and occasionally anatomopathological results from temporal artery biopsy are evaluated. This study describes the results of an algorithm analysis based on clinical and ultrasound evaluation of patients with suspected GCA, highlighting its diagnostic utility by contrasting its use in different clinical suspicion scenarios. Method: Prospective multicenter study evaluating patients referred with suspected GCA through a preferential circuit (fast track), grouping them according to low or high clinical suspicion of GCA. Each of these scenarios is evaluated by biopsy and ultrasound for all patients, resulting in positive, indeterminate, or negative outcomes, yielding six possible groups. Potential areas of improvement are explored, emphasizing that, following a negative or indeterminate ultrasound, 18-FDG-PET-CT could be recommended. We analyze the results and application of a diagnostic algorithm, confirming its efficiency and applicability based on whether there is high or low clinical suspicion. Results: Sixty-nine patients (41 in the high suspicion group and 28 in the low suspicion group). There were 41 new diagnoses of GCA: 35 in the high suspicion group and 6 in the low suspicion group. Using ultrasound alone, the initial algorithm has an overall diagnostic efficiency of 72.5%, which improves to 80.5% when including 18F-FDG-PET/CT. The negative predictive value of ultrasound in patients with low clinical suspicion is 84.6%, and the positive predictive value of ultrasound in patients with high suspicion is 100%, improving sensitivity from 57.1% to 80.8% with 18F-FDG-PET/CT in this scenario. Temporal artery biopsy was performed on all patients, with no differences in sensitivity or specificity compared to ultrasound. In cases where all three tests - ultrasound, biopsy, and 18F-FDG-PET/CT - are performed, sensitivity increases to 92.3% in patients with high clinical suspicion. Conclusion: In situations of high clinical suspicion, the algorithm provides sufficient information for the diagnosis of GCA if ultrasound is positive. A negative ultrasound is sufficient to rule out the diagnosis in the context of low clinical suspicion. 18-FDG-PET-CT may be useful in patients with high suspicion and negative or indeterminate ultrasound results. (c) 2024 The Authors. Published by Elsevier Espana, a, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
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2024 |
| dc.date.none.fl_str_mv |
2024 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/2445/215761 |
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https://hdl.handle.net/2445/215761 |
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Inglés |
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Inglés |
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Reproducció del document publicat a: https://doi.org/10.1016/j.medcli.2023.11.021 Medicina Clínica, 2024, vol. 163, num. 3, p. 107-114 https://doi.org/10.1016/j.medcli.2023.11.021 |
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cc by-nc-nd (c) Estrada, Paula et al., 2024 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
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cc by-nc-nd (c) Estrada, Paula et al., 2024 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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openAccess |
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application/pdf |
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Elsevier BV |
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Elsevier BV |
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Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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