Clusters of Comorbidities in the Short-Term Prognosis of Acute Heart Failure among Elderly Patients: A Retrospective Cohort Study.

Background and Objectives: Elderly patients affected by acute heart failure (AHF) often show different patterns of comorbidities. In this paper, we aimed to evaluate how chronic comorbidities cluster and which pattern of comorbidities is more strongly related to in-hospital death in AHF. Materials and Methods: All patients admitted for AHF to an Internal Medicine Department (01/2015−01/2019) were retrospectively evaluated; the main outcome of this study was in-hospital death during an admission for AHF; age, sex, the Charlson comorbidity index (CCI), and 17 different chronic pathologies were investigated; the association between the comorbidities was studied with Pearson's bivariate test, considering a level of p ≤ 0.10 significant, and considering p < 0.05 strongly significant. Thus, we identified the clusters of comorbidities associated with the main outcome and tested the CCI and each cluster against in-hospital death with logistic regression analysis, assessing the accuracy of the prediction with ROC curve analysis. Results: A total of 459 consecutive patients (age: 83.9 ± 8.02 years; males: 56.6%). A total of 55 (12%) subjects reached the main outcome; the CCI and 16 clusters of comorbidities emerged as being associated with in-hospital death from AHF. Of these, CCI and six clusters showed an accurate prediction of in-hospital death. Conclusions: Both the CCI and specific clusters of comorbidities are associated with in-hospital death from AHF among elderly patients. Specific phenotypes show a greater association with a worse short-term prognosis than a more generic scale, such as the CCI.

Final results of the NINFA project: impact of new technologies in the daily life of elderly people.

BACKGROUND: The paper presents the work carried out within NINFA (iNtelligent Integrated Network For Aged people), a project for the wellbeing of the elderly people at home. AIMS: The impact of new technologies on elderly people is evaluated with respect to the three main topics faced by NINFA. METHODS: NINFA was structured into three main topics: (1) active user engagement from the very beginning of the planning stage: the use of specially designed questionnaires to evaluate the acceptability of new technology in general and robot caregiver specifically; (2) assessment of the well-being through non-invasive techniques: natural language processing for language change monitoring in elderly subjects; (3) automated assessment of motor and cognitive functions at home: systems to deliver tests and exergames through user interfaces compliant with elderly subjects. RESULTS: The analysis shows that there is no a priori closure to support the technology, but it must not be invasive and must allow social interactions. The study of speech transcripts shows that a large variations in the number of words used to describe the same situation could be a sign on the onset of cognitive impairments. The specifically designed systems highlight, after the training period, significant improvements in the performances of the participants and a satisfaction with regards to the systems usability. CONCLUSIONS: The outcomes of NINFA project highlight some important aspects of the relationship between elderly people and new technologies concerning: engagement and acceptability, assessment of the wellbeing and of the modifications of motor, cognitive and language functions.