Background: Incidence of acute intracerebral hemorrhage (ICH) increases with age, but there is a lack of information about ICH characteristics in the oldest-old (age ≥85 years). In particular, there is a need for information about hematoma volume, which is included in most clinical scales for prediction of mortality in ICH patients. Many of these scales also assume that, independent of ICH characteristics, the oldest-old have a higher mortality than younger elderly patients (age 65-74 years). However, supporting evidence from cohort studies is limited. We investigated ICH characteristics of oldest-old subjects compared to young (<65 years), young-old (65-74 years) and old-old (75-84 years) subjects. We also investigated whether age is an independent mortality predictor in elderly (age ≥65 years) subjects with acute ICH.Methods: We retrospectively collected clinical and neuroimaging data of 383 subjects (age 34-104 years) with acute supratentorial primary ICH who were admitted to an Italian Stroke Unit (SU) between October 2007 and December 2014. Measured ICH characteristics included hematoma location, volume and intraventricular extension of hemorrhage on admission CT scan; admission Glasgow Coma Scale ≤8 and hematoma expansion (HE) measured on follow-up CT-scans obtained after 24 h. General linear models and logistic models were used to investigate the association of age with ICH characteristics. These models were adjusted for pre-admission characteristics, hematoma location and time from symptom onset to admission CT scan. Limited to elderly subjects, Cox models were used to investigate the association of age with in-SU and 1-year mortality: the model for in-SU mortality adjusted for pre-admission and ICH admission characteristics and the model for 1-year mortality additionally adjusted for functional status and disposition at SU discharge. Results: Independent of pre-admission characteristics, hematoma location and time from symptom onset to admission CT-scan, oldest-old subjects had the highest admission hematoma volume (p < 0.01). Age was unrelated to all other ICH characteristics including HE. In elderly patients, multivariable adjusted risk of in-SU and 1-year mortality did not vary across age categories. Conclusions: Oldest-old subjects with acute supratentorial ICH have higher admission hematoma volume than young and young-old subjects but do not differ for other ICH characteristics. When taking into account confounding from ICH characteristics, risk of in-SU and 1-year mortality in elderly subjects with acute supratentorial ICH does not differ across age categories. Our findings question use of age as an independent criterion for stratification of mortality risk in elderly subjects with acute ICH.

Background: Incidence of acute intracerebral hemorrhage (ICH) increases with age, but there is a lack of information about ICH characteristics in the oldest-old (age ≥85 years). In particular, there is a need for information about hematoma volume, which is included in most clinical scales for prediction of mortality in ICH patients. Many of these scales also assume that, independent of ICH characteristics, the oldest-old have a higher mortality than younger elderly patients (age 65-74 years). However, supporting evidence from cohort studies is limited. We investigated ICH characteristics of oldest-old subjects compared to young (<65 years), young-old (65-74 years) and old-old (75-84 years) subjects. We also investigated whether age is an independent mortality predictor in elderly (age ≥65 years) subjects with acute ICH.Methods: We retrospectively collected clinical and neuroimaging data of 383 subjects (age 34-104 years) with acute supratentorial primary ICH who were admitted to an Italian Stroke Unit (SU) between October 2007 and December 2014. Measured ICH characteristics included hematoma location, volume and intraventricular extension of hemorrhage on admission CT scan; admission Glasgow Coma Scale ≤8 and hematoma expansion (HE) measured on follow-up CT-scans obtained after 24 h. General linear models and logistic models were used to investigate the association of age with ICH characteristics. These models were adjusted for pre-admission characteristics, hematoma location and time from symptom onset to admission CT scan. Limited to elderly subjects, Cox models were used to investigate the association of age with in-SU and 1-year mortality: the model for in-SU mortality adjusted for pre-admission and ICH admission characteristics and the model for 1-year mortality additionally adjusted for functional status and disposition at SU discharge. Results: Independent of pre-admission characteristics, hematoma location and time from symptom onset to admission CT-scan, oldest-old subjects had the highest admission hematoma volume (p < 0.01). Age was unrelated to all other ICH characteristics including HE. In elderly patients, multivariable adjusted risk of in-SU and 1-year mortality did not vary across age categories. Conclusions: Oldest-old subjects with acute supratentorial ICH have higher admission hematoma volume than young and young-old subjects but do not differ for other ICH characteristics. When taking into account confounding from ICH characteristics, risk of in-SU and 1-year mortality in elderly subjects with acute supratentorial ICH does not differ across age categories. Our findings question use of age as an independent criterion for stratification of mortality risk in elderly subjects with acute ICH.

Background: Cognitive assessment is thought to increase the ability of the physical phenotype of frailty to identify older persons at a higher risk for adverse outcomes. Objective: Data from a cohort of dementia-free community dwellers were used to investigate whether the clock drawing test (CDT), a quick and easy cognitive screening test, is associated with adverse health outcomes independently of the physical phenotype of frailty. Methods: This was a prospective population-based cohort study of 766 dementia-free Italian community dwellers aged 65 years or older. Baseline assessment included the physical phenotype of frailty, 3 different CDT protocols [Sunderland, Shulman, and the clock drawing interpretation scale (CDIS)], and several health confounders. Hazard ratios (HR) and odds ratio (OR) along with their corresponding 95% confidence intervals (CI) from models adjusted for frailty and sociodemographic and health confounders were used to estimate the independent association of the CDT with the 7-year risk of all-cause mortality and the 3-year risk of new and worsening disability, hospitalization, and fractures. Results: After adjustment for confounders, the Sunderland CDT was significantly associated with all-cause mortality independently of the physical phenotype of frailty (HR = 1.44, 95% CI 1.03-2.01, p = 0.031). However, compared to all nonfrail participants with a normal Sunderland CDT, the HR was 1.57 (95% CI 1.09-2.26, p = 0.016) for those with impairment on the Sunderland CDT only, 2.48 (95% CI 1.46-4.20, p = 0.001) for those with frailty only, and 2.52 (95% CI 1.34-4.77, p = 0.004) for those with both frailty and impairment on the Sunderland CDT. Mortality was unrelated to the CDIS CDT (p = 0.359) and the Shulman CDT (p = 0.281). No statistically significant relationship was found between nonlethal outcomes and any CDT protocol, although trends were found for an association of both the Sunderland CDT (p = 0.118) and the CDIS CDT with worsening disability (p = 0.154). Conclusions: In older persons, depending on the scoring system, the CDT may predict the mortality risk independently of the physical phenotype of frailty. However, combining the two measurements does not improve their individual prognostic abilities.

Background: Cognitive assessment is thought to increase the ability of the physical phenotype of frailty to identify older persons at a higher risk for adverse outcomes. Objective: Data from a cohort of dementia-free community dwellers were used to investigate whether the clock drawing test (CDT), a quick and easy cognitive screening test, is associated with adverse health outcomes independently of the physical phenotype of frailty. Methods: This was a prospective population-based cohort study of 766 dementia-free Italian community dwellers aged 65 years or older. Baseline assessment included the physical phenotype of frailty, 3 different CDT protocols [Sunderland, Shulman, and the clock drawing interpretation scale (CDIS)], and several health confounders. Hazard ratios (HR) and odds ratio (OR) along with their corresponding 95% confidence intervals (CI) from models adjusted for frailty and sociodemographic and health confounders were used to estimate the independent association of the CDT with the 7-year risk of all-cause mortality and the 3-year risk of new and worsening disability, hospitalization, and fractures. Results: After adjustment for confounders, the Sunderland CDT was significantly associated with all-cause mortality independently of the physical phenotype of frailty (HR = 1.44, 95% CI 1.03-2.01, p = 0.031). However, compared to all nonfrail participants with a normal Sunderland CDT, the HR was 1.57 (95% CI 1.09-2.26, p = 0.016) for those with impairment on the Sunderland CDT only, 2.48 (95% CI 1.46-4.20, p = 0.001) for those with frailty only, and 2.52 (95% CI 1.34-4.77, p = 0.004) for those with both frailty and impairment on the Sunderland CDT. Mortality was unrelated to the CDIS CDT (p = 0.359) and the Shulman CDT (p = 0.281). No statistically significant relationship was found between nonlethal outcomes and any CDT protocol, although trends were found for an association of both the Sunderland CDT (p = 0.118) and the CDIS CDT with worsening disability (p = 0.154). Conclusions: In older persons, depending on the scoring system, the CDT may predict the mortality risk independently of the physical phenotype of frailty. However, combining the two measurements does not improve their individual prognostic abilities.