Elderly patients with IC are characterized by significant comorbidities. The absence of hematochezia and the presence of a concomitant malignancy, HCV, a marked increase in urea and LDH and disease involving only the right colon are factors that may predict a negative outcome in elderly patients.
Aim: The aims of the present study were to report on the psychometric properties of the Pain Assessment in Advanced Dementia (PAINAD) scale by comparing it with the gold standard method of self-reporting on a numerical rating scale (NRS), and to provide a categorical version of the PAINAD scale comparable with the verbal descriptor scale of the NRS. Methods: Six hundred elderly patients with various degrees of cognitive impairment consecutively admitted to the acute geriatric section at Padua University were evaluated. Cognitive, functional, and health statuses were evaluated using the Mini-Mental State Examination (MMSE), activities of daily living, and the Cumulative Illness Rating Scale (CIRS), respectively. Pain measurements were obtained by administering the NRS and the PAINAD scale. Results: Cognitive decline was recorded in 310 subjects (52%). The internal reliability of the PAINAD scale was adequate for all items, both in patients with dementia (α = 0.90) and in those with no cognitive impairment (α = 0.94). The psychometric evaluation demonstrated a stronger level of concurrent validity (Kendall’s τ = 0.73, p < 0.0001) and inter-rater agreement (ĸ = 0.74, p < 0.0001) for the PAINAD compared with the NRS. Conclusion: Our findings clearly indicate that the PAINAD scale is a reliable and easily administered tool for assessing pain intensity also in elderly patients with advanced dementia.
BMI seems to indicate global health status in elderly demented people and a BMI of 25 kg/m² can be considered an "alarm" cut-off, lower values coinciding with a worse cognitive status based on MMSE scores.
OBJECTIVE:
The aim of this study was to investigate the relationships between nutritional indices (Body mass index (BMI), serum albumin), sarcopenia, bone mineral density (BMD) and the severity of their pulmonary obstruction in elderly patients with chronic obstructive pulmonary disease (COPD).
METHODS:
The method involved was a prospective transversal study; 82 males >65 years old, 41 stable patients with COPD and 41 healthy elderly individuals (controls). All subjects underwent spirometry, biochemical analyses and dual energy X-ray absorptiometry. The significance of the differences between mean values and prevalence rates was tested. The relationships between BMD and independent predictors were analysed by multiple linear regressions. Logistic regression models were applied on dichotomised variables.
RESULTS:
In patients with COPD, the prevalence of osteoporosis was higher in subjects with sarcopenia (46% vs. 0%; p < 0.05) and with BMI < 25.1 kg/m(2) (58% vs. 15%; p < 0.02). Multiple regression analysis indicated that BMI, appendicular skeletal muscle mass (ASMM), albumin, and forced expiration volume after 1 s (FEV1) explained the 70% of BMD variability at the hip and 56% at the spine. Logistic regression showed that a BMI < 25.1 kg/m(2) was independently associated with osteoporosis risk (OR = 10.0; 95%CI 1.3-76); no independent effect emerged for FEV1% (
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