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

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Title: Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study.
Authors: Falsetti, Lorenzo, Viticchi, Giovanna, Tarquinio, Nicola, Silvestrini, Mauro, Capeci, William, Catozzo, Vania, Fioranelli, Agnese, Buratti, Laura, Pellegrini, Francesco
Source: Neurological Sciences. Sep2016, Vol. 37 Issue 9, p1443-1448. 6p.
Subjects: Stroke-related mortality, Comorbidity, Hospital patients, Chronic diseases, Health status indicators, Diseases in older people, Age distribution, Geriatric assessment, Cerebral ischemia, Longitudinal method, Regression analysis, Risk assessment, Sex distribution, Stroke, Severity of illness index, Hospital mortality, Kaplan-Meier estimator, NIH Stroke Scale, Disease complications
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. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study.
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  Data: <searchLink fieldCode="AR" term="%22Falsetti%2C+Lorenzo%22">Falsetti, Lorenzo</searchLink><br /><searchLink fieldCode="AR" term="%22Viticchi%2C+Giovanna%22">Viticchi, Giovanna</searchLink><br /><searchLink fieldCode="AR" term="%22Tarquinio%2C+Nicola%22">Tarquinio, Nicola</searchLink><br /><searchLink fieldCode="AR" term="%22Silvestrini%2C+Mauro%22">Silvestrini, Mauro</searchLink><br /><searchLink fieldCode="AR" term="%22Capeci%2C+William%22">Capeci, William</searchLink><br /><searchLink fieldCode="AR" term="%22Catozzo%2C+Vania%22">Catozzo, Vania</searchLink><br /><searchLink fieldCode="AR" term="%22Fioranelli%2C+Agnese%22">Fioranelli, Agnese</searchLink><br /><searchLink fieldCode="AR" term="%22Buratti%2C+Laura%22">Buratti, Laura</searchLink><br /><searchLink fieldCode="AR" term="%22Pellegrini%2C+Francesco%22">Pellegrini, Francesco</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Sep2016, Vol. 37 Issue 9, p1443-1448. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Stroke-related+mortality%22">Stroke-related mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Comorbidity%22">Comorbidity</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+patients%22">Hospital patients</searchLink><br /><searchLink fieldCode="DE" term="%22Chronic+diseases%22">Chronic diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Diseases+in+older+people%22">Diseases in older people</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Geriatric+assessment%22">Geriatric assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebral+ischemia%22">Cerebral ischemia</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke%22">Stroke</searchLink><br /><searchLink fieldCode="DE" term="%22Severity+of+illness+index%22">Severity of illness index</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+mortality%22">Hospital mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Kaplan-Meier+estimator%22">Kaplan-Meier estimator</searchLink><br /><searchLink fieldCode="DE" term="%22NIH+Stroke+Scale%22">NIH Stroke Scale</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10072-016-2602-1
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