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Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire

BACKGROUND: The future of personalized medicine depends on advanced diagnostic tools to characterize responders and non-responders to treatment. Systems diagnosis is a new approach which aims to capture a large amount of symptom information from patients to characterize relevant sub-groups. METHODOL...

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Autores principales: van Wietmarschen, Herman A., Reijmers, Theo H., van der Kooij, Anita J., Schroën, Jan, Wei, Heng, Hankemeier, Thomas, Meulman, Jacqueline J., van der Greef, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3174973/
https://www.ncbi.nlm.nih.gov/pubmed/21949766
http://dx.doi.org/10.1371/journal.pone.0024846
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author van Wietmarschen, Herman A.
Reijmers, Theo H.
van der Kooij, Anita J.
Schroën, Jan
Wei, Heng
Hankemeier, Thomas
Meulman, Jacqueline J.
van der Greef, Jan
author_facet van Wietmarschen, Herman A.
Reijmers, Theo H.
van der Kooij, Anita J.
Schroën, Jan
Wei, Heng
Hankemeier, Thomas
Meulman, Jacqueline J.
van der Greef, Jan
author_sort van Wietmarschen, Herman A.
collection PubMed
description BACKGROUND: The future of personalized medicine depends on advanced diagnostic tools to characterize responders and non-responders to treatment. Systems diagnosis is a new approach which aims to capture a large amount of symptom information from patients to characterize relevant sub-groups. METHODOLOGY: 49 patients with a rheumatic disease were characterized using a systems diagnosis questionnaire containing 106 questions based on Chinese and Western medicine symptoms. Categorical principal component analysis (CATPCA) was used to discover differences in symptom patterns between the patients. Two Chinese medicine experts where subsequently asked to rank the Cold and Heat status of all the patients based on the questionnaires. These rankings were used to study the Cold and Heat symptoms used by these practitioners. FINDINGS: The CATPCA analysis results in three dimensions. The first dimension is a general factor (40.2% explained variance). In the second dimension (12.5% explained variance) ‘anxious’, ‘worrying’, ‘uneasy feeling’ and ‘distressed’ were interpreted as the Internal disease stage, and ‘aggravate in wind’, ‘fear of wind’ and ‘aversion to cold’ as the External disease stage. In the third dimension (10.4% explained variance) ‘panting s’, ‘superficial breathing’, ‘shortness of breath s’, ‘shortness of breath f’ and ‘aversion to cold’ were interpreted as Cold and ‘restless’, ‘nervous’, ‘warm feeling’, ‘dry mouth s’ and ‘thirst’ as Heat related. ‘Aversion to cold’, ‘fear of wind’ and ‘pain aggravates with cold’ are most related to the experts Cold rankings and ‘aversion to heat’, ‘fullness of chest’ and ‘dry mouth’ to the Heat rankings. CONCLUSIONS: This study shows that the presented systems diagnosis questionnaire is able to identify groups of symptoms that are relevant for sub-typing patients with a rheumatic disease.
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spelling pubmed-31749732011-09-26 Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire van Wietmarschen, Herman A. Reijmers, Theo H. van der Kooij, Anita J. Schroën, Jan Wei, Heng Hankemeier, Thomas Meulman, Jacqueline J. van der Greef, Jan PLoS One Research Article BACKGROUND: The future of personalized medicine depends on advanced diagnostic tools to characterize responders and non-responders to treatment. Systems diagnosis is a new approach which aims to capture a large amount of symptom information from patients to characterize relevant sub-groups. METHODOLOGY: 49 patients with a rheumatic disease were characterized using a systems diagnosis questionnaire containing 106 questions based on Chinese and Western medicine symptoms. Categorical principal component analysis (CATPCA) was used to discover differences in symptom patterns between the patients. Two Chinese medicine experts where subsequently asked to rank the Cold and Heat status of all the patients based on the questionnaires. These rankings were used to study the Cold and Heat symptoms used by these practitioners. FINDINGS: The CATPCA analysis results in three dimensions. The first dimension is a general factor (40.2% explained variance). In the second dimension (12.5% explained variance) ‘anxious’, ‘worrying’, ‘uneasy feeling’ and ‘distressed’ were interpreted as the Internal disease stage, and ‘aggravate in wind’, ‘fear of wind’ and ‘aversion to cold’ as the External disease stage. In the third dimension (10.4% explained variance) ‘panting s’, ‘superficial breathing’, ‘shortness of breath s’, ‘shortness of breath f’ and ‘aversion to cold’ were interpreted as Cold and ‘restless’, ‘nervous’, ‘warm feeling’, ‘dry mouth s’ and ‘thirst’ as Heat related. ‘Aversion to cold’, ‘fear of wind’ and ‘pain aggravates with cold’ are most related to the experts Cold rankings and ‘aversion to heat’, ‘fullness of chest’ and ‘dry mouth’ to the Heat rankings. CONCLUSIONS: This study shows that the presented systems diagnosis questionnaire is able to identify groups of symptoms that are relevant for sub-typing patients with a rheumatic disease. Public Library of Science 2011-09-16 /pmc/articles/PMC3174973/ /pubmed/21949766 http://dx.doi.org/10.1371/journal.pone.0024846 Text en van Wietmarschen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
van Wietmarschen, Herman A.
Reijmers, Theo H.
van der Kooij, Anita J.
Schroën, Jan
Wei, Heng
Hankemeier, Thomas
Meulman, Jacqueline J.
van der Greef, Jan
Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire
title Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire
title_full Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire
title_fullStr Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire
title_full_unstemmed Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire
title_short Sub-Typing of Rheumatic Diseases Based on a Systems Diagnosis Questionnaire
title_sort sub-typing of rheumatic diseases based on a systems diagnosis questionnaire
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3174973/
https://www.ncbi.nlm.nih.gov/pubmed/21949766
http://dx.doi.org/10.1371/journal.pone.0024846
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