4 research outputs found

    Geriatric syndromes in peri-operative elderly cancer patients

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    Abstract Due to the expanding geriatric population and the high incidence of cancer in this age group, there is an increased burden on clinical oncologists. Elderly patients suffer from one or more chronic diseases, especially cardiovascular diseases, COPD, or diabetes. Besides affecting life expectancy, comorbid conditions may complicate major surgery. Accurate prediction of surgical risk is of paramount importance. Numerous papers have documented that older patients can undergo surgery with similar cancer related survival to younger patients. It has been demonstrated that age related variables are associated with an increased risk in post-surgical complications. The term ''geriatric syndrome'' needs further clinical evaluation and understanding. It is used to capture those clinical conditions in older persons that do not fit into discrete disease categories. Geriatric syndromes including delirium, falls, frailty, dizziness, syncope and urinary incontinence, are among the most common conditions facing geriatricians. This article focuses on geriatric syndromes in post-surgical patients and their management

    The use of eHealth and digital technologies in the Italian geriatric practice: a survey of the Italian Geriatric Society (SIGOT)

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    e-Health technologies may potentially improve healthcare assistance for frail elderly subjects. However, despite the interest and potential benefits of the field, research highlighted that several challenges remain, such as scarce wide spreading of information and communication technology technologies among the elderly and infrastructural difficulties. The aim of this survey was to assess to what extent digital technologies are widespread and used among Italian geriatricians. We conducted an online survey addressed to geriatricians, from the SIGOT (The Italian Geriatric Society) website, collecting the 78 completed questionnaires. We then analyzed with descriptive statistics the data. Results showed a still scarce use of digital technologies in geriatric practice in Italy. However, more than 60% of the SIGOT geriatricians who participated in the survey responded that the use of digital technology had increased significantly due to COVID-19 pandemic and for 80% of the members, the priority areas for the use of technologies for the care and treatment of the elderly are the management of chronic diseases and the prevention of hospitalization

    Relation between drug therapy-based comorbidity indices, Charlson's comorbidity index, polypharmacy and mortality in three samples of older adults.

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    Background: Comorbidity indexes were designed in order to measure how the disease burden of a patient is related to different clinical outcomes such as mortality, especially in older and intensively treated people. Charlson's Comorbidity Index (CCI) is the most widely used rating system, based on diagnoses, but when this information is not available therapy-based comorbidity indices (TBCI) are an alternative: among them, Drug Derived Complexity Index (DDCI), Medicines Comorbidity Index (MCI), and Chronic Disease Score (CDS) are available. Aims: This study assessed the predictive power for 1-year mortality of these comorbidity indices and polypharmacy. Methods: Survival analysis and Receiver Operating Characteristic (ROC) analysis were conducted on three Italian cohorts: 2,389 nursing home residents (Korian), 4,765 and 633 older adults admitted acutely to geriatric or internal medicine wards (REPOSI and ELICADHE). Results: Cox's regression indicated that the highest levels of the CCI are associated with an increment of 1-year mortality risk as compared to null score for all the three samples. DDCI and excessive polypharmacy gave similar results but MCI and CDS were not always statistically significant. The predictive power with the ROC curve of each comorbidity index was poor and similar in all settings. Conclusion: On the whole, comorbidity indices did not perform well in our three settings, although the highest level of each index was associated with higher mortality
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