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Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study

OBJECTIVES: To evaluate in a primary care setting the favoring and confounding factors for the diagnosis of polymyalgia rheumatica (PMR). MATERIAL AND METHODS: Among 303 patients consecutively referred by their general practitioners (GPs) to our rheumatologic outpatient clinic, we identified three g...

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Autores principales: Manzo, Ciro, Natale, Maria, Traini, Enea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Narodowy Instytut Geriatrii, Reumatologii i Rehabilitacji w Warszawie 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052367/
https://www.ncbi.nlm.nih.gov/pubmed/30042600
http://dx.doi.org/10.5114/reum.2018.76900
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author Manzo, Ciro
Natale, Maria
Traini, Enea
author_facet Manzo, Ciro
Natale, Maria
Traini, Enea
author_sort Manzo, Ciro
collection PubMed
description OBJECTIVES: To evaluate in a primary care setting the favoring and confounding factors for the diagnosis of polymyalgia rheumatica (PMR). MATERIAL AND METHODS: Among 303 patients consecutively referred by their general practitioners (GPs) to our rheumatologic outpatient clinic, we identified three groups: group A – patients with confirmed diagnosis of PMR, group B – patients with unconfirmed diagnosis, group C – patients with unrecognized PMR. All the diagnostic confounding and favoring factors were discussed with GPs using an e-mail questionnaire. Participation in rheumatology training courses represented the final question. The collected data were statistically assessed in a blind way. In Fisher’s exact test and ANOVA test, a p-value was significant if < 0.05. The study was carried out in compliance with the Helsinki Declaration and approved by the Ethics Committee of Mariano Lauro Hospital. Every patient signed an informed consent form at the time of the first visit. RESULTS: All patients were Caucasian; 24.1% were male; mean age was 72.3 ±8.6 years (min. – 51, max. – 94). There were 41 patients in group A, 93 in group B and 169 in group C. The percentage of misdiagnoses was very high (87.1%): among 134 patients diagnosed with PMR by their GPs (group A + group B) confirmation was made in 41, and in 169 unrecognized PMR was found. Participation in training courses was very significant compared to the diagnostic accuracy (p < 0.0001 in χ(2) test) and to the diagnosis timing (24.3 days ±12.5 vs. 42.9 ±15.5 with p-value < 0.05 in the ANOVA test). When the percentages were assessed according to participation, an inadequate evaluation of some clinical manifestations favored over-diagnosis among the trained GPs. CONCLUSIONS: The level of diagnostic accuracy for PMR must be improved in primary care. Participation in rheumatology training courses can be an important step.
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spelling pubmed-60523672018-07-24 Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study Manzo, Ciro Natale, Maria Traini, Enea Reumatologia Original Paper OBJECTIVES: To evaluate in a primary care setting the favoring and confounding factors for the diagnosis of polymyalgia rheumatica (PMR). MATERIAL AND METHODS: Among 303 patients consecutively referred by their general practitioners (GPs) to our rheumatologic outpatient clinic, we identified three groups: group A – patients with confirmed diagnosis of PMR, group B – patients with unconfirmed diagnosis, group C – patients with unrecognized PMR. All the diagnostic confounding and favoring factors were discussed with GPs using an e-mail questionnaire. Participation in rheumatology training courses represented the final question. The collected data were statistically assessed in a blind way. In Fisher’s exact test and ANOVA test, a p-value was significant if < 0.05. The study was carried out in compliance with the Helsinki Declaration and approved by the Ethics Committee of Mariano Lauro Hospital. Every patient signed an informed consent form at the time of the first visit. RESULTS: All patients were Caucasian; 24.1% were male; mean age was 72.3 ±8.6 years (min. – 51, max. – 94). There were 41 patients in group A, 93 in group B and 169 in group C. The percentage of misdiagnoses was very high (87.1%): among 134 patients diagnosed with PMR by their GPs (group A + group B) confirmation was made in 41, and in 169 unrecognized PMR was found. Participation in training courses was very significant compared to the diagnostic accuracy (p < 0.0001 in χ(2) test) and to the diagnosis timing (24.3 days ±12.5 vs. 42.9 ±15.5 with p-value < 0.05 in the ANOVA test). When the percentages were assessed according to participation, an inadequate evaluation of some clinical manifestations favored over-diagnosis among the trained GPs. CONCLUSIONS: The level of diagnostic accuracy for PMR must be improved in primary care. Participation in rheumatology training courses can be an important step. Narodowy Instytut Geriatrii, Reumatologii i Rehabilitacji w Warszawie 2018-06-30 2018 /pmc/articles/PMC6052367/ /pubmed/30042600 http://dx.doi.org/10.5114/reum.2018.76900 Text en Copyright: © 2018 Narodowy Instytut Geriatrii, Reumatologii i Rehabilitacji w Warszawie http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Manzo, Ciro
Natale, Maria
Traini, Enea
Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
title Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
title_full Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
title_fullStr Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
title_full_unstemmed Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
title_short Diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
title_sort diagnosis of polymyalgia rheumatica in primary health care: favoring and confounding factors – a cohort study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052367/
https://www.ncbi.nlm.nih.gov/pubmed/30042600
http://dx.doi.org/10.5114/reum.2018.76900
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