Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity?
Internal medicine patients are mostly elderly with multiple comorbidities, usually chronic. The high prevalence of comorbidity and multimorbidity has a significant impact on both positive responses to treatment and the occurrence of adverse events. Clustering is the process of nosography grouping in...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2018-06-01
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| Series: | Italian Journal of Medicine |
| Subjects: | |
| Online Access: | https://www.italjmed.org/index.php/ijm/article/view/940 |
| _version_ | 1797428480014548992 |
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| author | Flavio Tangianu Paola Gnerre Fabrizio Colombo Roberto Frediani Giuliano Pinna Franco Berti Giovanni Mathieu Micaela La Regina Francesco Orlandini Antonino Mazzone Clelia Canale Daniele Borioni Roberto Nardi |
| author_facet | Flavio Tangianu Paola Gnerre Fabrizio Colombo Roberto Frediani Giuliano Pinna Franco Berti Giovanni Mathieu Micaela La Regina Francesco Orlandini Antonino Mazzone Clelia Canale Daniele Borioni Roberto Nardi |
| author_sort | Flavio Tangianu |
| collection | DOAJ |
| description | Internal medicine patients are mostly elderly with multiple comorbidities, usually chronic. The high prevalence of comorbidity and multimorbidity has a significant impact on both positive responses to treatment and the occurrence of adverse events. Clustering is the process of nosography grouping into meaningful associations with some index disease, so that the objects within a cluster have high similarity in comparison with one another. In the decision-making process it is imperative that, in addition to understanding the immediate clinical problems, we are able to explicit all the contextual factors that have to be taken into account for the best outcome of care. Cluster analysis could be leveraged in developing better interventions targeted to improve health outcomes in subgroups of patients. |
| first_indexed | 2024-03-09T08:58:25Z |
| format | Article |
| id | doaj.art-b2d6c556946a45c187d5214b5be2e196 |
| institution | Directory Open Access Journal |
| issn | 1877-9344 1877-9352 |
| language | English |
| last_indexed | 2024-03-09T08:58:25Z |
| publishDate | 2018-06-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Italian Journal of Medicine |
| spelling | doaj.art-b2d6c556946a45c187d5214b5be2e1962023-12-02T12:20:50ZengPAGEPress PublicationsItalian Journal of Medicine1877-93441877-93522018-06-0112213714410.4081/itjm.2018.940684Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity?Flavio Tangianu0Paola Gnerre1Fabrizio Colombo2Roberto Frediani3Giuliano Pinna4Franco Berti5Giovanni Mathieu6Micaela La Regina7Francesco Orlandini8Antonino Mazzone9Clelia Canale10Daniele Borioni11Roberto Nardi12Internal Medicine, S. Martino Hospital, OristanoInternal Medicine, San Paolo Hospital, SavonaInternal Medicine, Niguarda Ca’ Granda Hospital, MilanoInternal Medicine, Maggiore Hospital, Chieri (TO)Internal Medicine, Cardinal Massaia Hospital, AstiInternal Medicine 2 Department, S. Camillo Forlanini Hospital, RomaInternal Medicine, E. Agnelli Hospital, Pinerolo (TO)Internal Medicine, Clinical Risk Manager, La SpeziaHealth Director, ASL 4 Regione LiguriaMedical Department, Internal Medicine, ASST Ovest-Milanese, Legnano (MI)Internal Medicine, S.S. Annunziata Hospital, Savigliano (CN)Internal Medicine, Maggiore Hospital, BolognaInternal Medicine, Maggiore Hospital, BolognaInternal medicine patients are mostly elderly with multiple comorbidities, usually chronic. The high prevalence of comorbidity and multimorbidity has a significant impact on both positive responses to treatment and the occurrence of adverse events. Clustering is the process of nosography grouping into meaningful associations with some index disease, so that the objects within a cluster have high similarity in comparison with one another. In the decision-making process it is imperative that, in addition to understanding the immediate clinical problems, we are able to explicit all the contextual factors that have to be taken into account for the best outcome of care. Cluster analysis could be leveraged in developing better interventions targeted to improve health outcomes in subgroups of patients.https://www.italjmed.org/index.php/ijm/article/view/940Internal medicine patientsmulti/comorbiditycomplexitycluster analysis. |
| spellingShingle | Flavio Tangianu Paola Gnerre Fabrizio Colombo Roberto Frediani Giuliano Pinna Franco Berti Giovanni Mathieu Micaela La Regina Francesco Orlandini Antonino Mazzone Clelia Canale Daniele Borioni Roberto Nardi Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity? Italian Journal of Medicine Internal medicine patients multi/comorbidity complexity cluster analysis. |
| title | Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity? |
| title_full | Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity? |
| title_fullStr | Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity? |
| title_full_unstemmed | Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity? |
| title_short | Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity? |
| title_sort | could clustering of comorbidities be useful for better defining the internal medicine patients complexity |
| topic | Internal medicine patients multi/comorbidity complexity cluster analysis. |
| url | https://www.italjmed.org/index.php/ijm/article/view/940 |
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