Chronic diseases are increasing worldwide. Association of two or more chronic conditions is related with poor health status and reduced life expectancy, particularly among elderly patients. Comorbidities represent a risk factor for adverse events in several critical illnesses. We aimed to evaluate if elderly patients are affected by multiple chronic pathologies, assessed by Charlson comorbidity index (CCI), showed a reduced in-hospital survival after ischemic stroke. In a 3-year period, we evaluated all the subjects admitted to our internal medicine department for ischemic stroke. Age, sex, NIHSS score and all the comorbidities were recorded. Days of hospitalization, hospital-related infections and in-hospital mortality were also assessed. For each patient, we evaluated CCI, obtaining four classes: group 1 (CCI: 2–3), group 2 (CCI: 4–5), group 3 (CCI: 6–7) and group 4 (CCI: ≥8). Survival was evaluated with Kaplan–Meier and Cox regression analyses. The complete model considered in-hospital death as the main outcome, days of hospitalization as the time variable and CCI as the main predictor, adjusting for NIHSS, sex and nosocomial infections. Patients in CCI group 3 and 4 had an increased risk of in-hospital mortality, independently of NIHSS, sex and nosocomial infections. Elderly patients with multiple comorbidities have higher risk of in-hospital death when affected by ischemic stroke.

Falsetti, L., Viticchi, G., Tarquinio, N., Silvestrini, M., Capeci, W., Catozzo, V., et al. (2016). Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study. NEUROLOGICAL SCIENCES, 37(9), 1443-1448 [10.1007/s10072-016-2602-1].

Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study

Falsetti, Lorenzo
Writing – Original Draft Preparation
;
2016

Abstract

Chronic diseases are increasing worldwide. Association of two or more chronic conditions is related with poor health status and reduced life expectancy, particularly among elderly patients. Comorbidities represent a risk factor for adverse events in several critical illnesses. We aimed to evaluate if elderly patients are affected by multiple chronic pathologies, assessed by Charlson comorbidity index (CCI), showed a reduced in-hospital survival after ischemic stroke. In a 3-year period, we evaluated all the subjects admitted to our internal medicine department for ischemic stroke. Age, sex, NIHSS score and all the comorbidities were recorded. Days of hospitalization, hospital-related infections and in-hospital mortality were also assessed. For each patient, we evaluated CCI, obtaining four classes: group 1 (CCI: 2–3), group 2 (CCI: 4–5), group 3 (CCI: 6–7) and group 4 (CCI: ≥8). Survival was evaluated with Kaplan–Meier and Cox regression analyses. The complete model considered in-hospital death as the main outcome, days of hospitalization as the time variable and CCI as the main predictor, adjusting for NIHSS, sex and nosocomial infections. Patients in CCI group 3 and 4 had an increased risk of in-hospital mortality, independently of NIHSS, sex and nosocomial infections. Elderly patients with multiple comorbidities have higher risk of in-hospital death when affected by ischemic stroke.
2016
Falsetti, L., Viticchi, G., Tarquinio, N., Silvestrini, M., Capeci, W., Catozzo, V., et al. (2016). Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study. NEUROLOGICAL SCIENCES, 37(9), 1443-1448 [10.1007/s10072-016-2602-1].
Falsetti, Lorenzo; Viticchi, Giovanna; Tarquinio, Nicola; Silvestrini, Mauro; Capeci, William; Catozzo, Vania; Fioranelli, Agnese; Buratti, Laura; Pel...espandi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/618672
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 15
  • Scopus 33
  • ???jsp.display-item.citation.isi??? 29
social impact