Literature DB >> 31650434

Comorbidity does not mean clinical complexity: evidence from the RePoSI register.

Salvatore Corrao1,2, Giuseppe Natoli3, Alessandro Nobili4, Pier Mannuccio Mannucci5, Antonello Pietrangelo6, Francesco Perticone7, Christiano Argano8.   

Abstract

In the last 2-3 decades internists have confronted dramatic changes in the pattern of patients acutely admitted to hospital wards. Internists observed a shift from younger subjects affected by a single organ disease to more complex patients, usually older, with multiple chronic conditions, attended by different specialists, with poor integration and treated with multiple drugs. In this regard, the concept of complex patients is addressed daily in clinical practice even if there is no agreed definition of patient complexity. To try to evaluate clinical complexity different instruments have been proposed. Among these, the number of comorbidities (NoC) was considered a marker of clinical complexity. However, this instrument would not give information about the clinical relevance of each condition. On the contrary, cumulative illness rating scale (CIRS) addresses the problem calculating both CIRS severity index (CIRS-SI) and CIRS comorbidity index (CIRS-CI). In light of this, 4714 patients from the RePoSI register were retrospectively analyzed to show if CIRS assessment of comorbidity burden is different from the simple count of comorbidities in predicting the length of hospital stay (LOS) and all-cause of mortality in hospitalized elderly patients and if NoC could be a valid tool to measure patient's complexity. CIRS-SI resulted the best predictor of all-cause in-hospital mortality [OR: 2.66 (1.88-3.77)] in comparison with NoC that did not result statistically significant (p = 0.551). CIRS-SI was also the best predictor of all-cause of post-discharge mortality corrected for age and sex [OR: 2.12 (1.53-2.95)]. CIRS-SI (coefficient ± standard error: 1.23 ± 0.59; p < 0.0381) and CIRS-CI (coefficient ± standard error: 0.27 ± 0.10; p < 0.011) were strong predictors of LOS in comparison with NoC that did not result statistically significant (coefficient ± standard error: 0.04 ± 0.06 p < 0.0561). In conclusion, CIRS assessment of comorbidity burden is a better clinical tool in comparison with the simple count of comorbidities especially considering the length of hospital stay and all-cause mortality in hospitalized elderly patients.

Entities:  

Keywords:  Clinical complexity; Cumulative illness rating scale; Multimorbidity; Number of comorbidities

Mesh:

Year:  2019        PMID: 31650434     DOI: 10.1007/s11739-019-02211-3

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  7 in total

1.  Beta-Blocker Use in Older Hospitalized Patients Affected by Heart Failure and Chronic Obstructive Pulmonary Disease: An Italian Survey From the REPOSI Register.

Authors:  Vincenzo Arcoraci; Francesco Squadrito; Michelangelo Rottura; Maria Antonietta Barbieri; Giovanni Pallio; Natasha Irrera; Alessandro Nobili; Giuseppe Natoli; Christiano Argano; Giovanni Squadrito; Salvatore Corrao
Journal:  Front Cardiovasc Med       Date:  2022-05-16

2.  Accounting for frailty and multimorbidity when interpreting high-sensitivity troponin I tests in oldest old.

Authors:  Andrea Ticinesi; Antonio Nouvenne; Nicoletta Cerundolo; Beatrice Prati; Alberto Parise; Claudio Tana; Martina Rendo; Angela Guerra; Tiziana Meschi
Journal:  J Am Geriatr Soc       Date:  2021-11-18       Impact factor: 7.538

3.  Aging underlies heterogeneity between comorbidity and multimorbidity frameworks.

Authors:  Marco Vincenzo Lenti; Catherine Klersy; Alice Silvia Brera; Alessia Ballesio; Gabriele Croce; Lucia Padovini; Rachele Ciccocioppo; Giampiera Bertolino; Antonio Di Sabatino; Gino Roberto Corazza
Journal:  Intern Emerg Med       Date:  2022-01-07       Impact factor: 5.472

4.  Defining SARS-CoV-2 breakthrough infection needing hospitalization in mass vaccination era: from disease-centered to patient-centered care.

Authors:  Andrea Ticinesi; Antonio Nouvenne; Alberto Parise; Beatrice Prati; Tiziana Meschi
Journal:  Acta Biomed       Date:  2022-05-11

5.  Rethinking clinical decision-making to improve clinical reasoning.

Authors:  Salvatore Corrao; Christiano Argano
Journal:  Front Med (Lausanne)       Date:  2022-09-08

6.  The "Diabetes Comorbidome": A Different Way for Health Professionals to Approach the Comorbidity Burden of Diabetes.

Authors:  Salvatore Corrao; Giuseppe Natoli; Alessandro Nobili; Pier Mannuccio Mannucci; Francesco Perticone; Vincenzo Arcoraci; Christiano Argano
Journal:  Healthcare (Basel)       Date:  2022-08-03

7.  Clustering Inflammatory Markers with Sociodemographic and Clinical Characteristics of Patients with Diabetes Type 2 Can Support Family Physicians' Clinical Reasoning by Reducing Patients' Complexity.

Authors:  Zvonimir Bosnic; Pinar Yildirim; František Babič; Ines Šahinović; Thomas Wittlinger; Ivo Martinović; Ljiljana Trtica Majnaric
Journal:  Healthcare (Basel)       Date:  2021-12-06
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.