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Elderly people are more severely affected by COVID-19. Nevertheless scarce information about specific prognostic scores for this population is available. The main objective was to compare the accuracy of recently developed COVID-19 prognostic scores to that of CURB-65, Charlson and PROFUND indices in a cohort of 272 elderly patients from four nursing homes, affected by COVID-19. Accuracy was measured by calibration (calibration curves and Hosmer-Lemeshov (H-L) test), and discriminative power (area under the receiver operation curve (AUC-ROC). Negative and positive predictive values (NPV and PPV) were also obtained. Overall mortality rate was 22.4 %. Only ACP and Shi et al. out of 10 specific COVID-19 indices could be assessed. All indices but CURB-65 showed a good calibration by H-L test, whilst PROFUND, ACP and CURB-65 showed best results in calibration curves. Only CURB-65 (AUC-ROC = 0.81 [0.75-0.87])) and PROFUND (AUC-ROC = 0.67 [0.6-0.75])) showed good discrimination power. The highest NPV was obtained by CURB-65 (95 % [90-98%]), PROFUND (93 % [77-98%]), and their combination (100 % [82-100%]); whereas CURB-65 (74 % [51-88%]), and its combination with PROFUND (80 % [50-94%]) showed highest PPV. PROFUND and CURB-65 indices showed the highest accuracy in predicting death-risk of elderly patients affected by COVID-19, whereas Charlson and recent developed COVID-19 specific tools lacked it, or were not available to assess. A comprehensive clinical stratification on two-level basis (basal death risk due to chronic conditions by PROFUND index, plus current death risk due to COVID-19 by CURB-65), could be an appropriate approach., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Little is known about the main features of the emergent population of PP. Our objective was to determine the clinical, care and social characteristics of a multi-institutional population of PP, by means of a cross-sectional study including a reference population of hospital-based PP from 36 hospitals. The main clinical, functional, mental and social features and their associated factors were assessed: 1632 PP (53% males, mean age 77.9±9.8 years) were included. An informal caregiver was required by 52% (78% of caregivers were close female relatives). The mean inclusion criteria (Cat): were 2.7±0.8 (49.5% presented ≥3 Cat). The most frequent inclusion Cat were heart (77.5%), lung (45.6%), neurological (38.2%), and kidney diseases (32.2%), whereas the mean of other comorbidities was 4.5±2.7 per PP. The mean Charlson comorbidity index (CCI) was 4; 47.6%, and 52.4% presented dyspnea ≥3 on the NYHA, and on the MRC, respectively; nearly 19% required home oxygen therapy, 19% had suffered >1 fall in previous year, and 11% suffered an active neoplasia. The mean hospital admissions in last 12/3 months, and chronically prescribed drugs were 2/1, and 8±3, respectively. More than 70% presented obesity, while 60% had hypoalbuminemia. The basal/inclusion Barthel index (BI) score was 69±31/58±34 (BI score<60 was present in 31.5%/44%, respectively); and the mean Pfeiffer score was 2.94±3.2 (43% answered with ≥3 errors). More than half of the subjects were at risk or already had established social problems. This emergent population is considerably homogeneous, highly complex, clinically vulnerable, functionally impaired, dependent on caregivers and socially fragile. They need to receive more attention in clinical research and more support in health interventions based on comprehensive attention and continuity of care., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)

The objective was to determine perceived quality of care (PQC) in patients with multiple chronic conditions, whose care is structured in Andalusia (Spain) under polypathological patients (PP) care process, and identifying aspects for its improvement. The study was a community-based cross-sectional survey carried out in 4 primary care centers (which attended a total of 62,702 adults, of them, 662 were actively identified as PP). Finally, 461 PP and their caregivers were interviewed (69% of eligible population) including assessment of PQC following SERVQUAL model, clinical and demographical data. On a five-point Likert scale (from 1, 'much worse than expected'; to 5, 'much better'), PQC rated 3.68±0.59 (±S.D.). Independent PQC predictors were: empathy for family physician, identifying nurses, presence of peripheral artery disease or diabetes mellitus with vascular complications, and not having functional limitations. In this population-based survey, PP attended at primary care have an acceptable PQC. Measures aimed to lessening functional deterioration, supporting dependent patients, and improving relationship between PP and their healthcare professionals could increase PQC., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)

Little is known about the prevalence of the recently defined polypathology notion in hospital populations. Patients admitted to medical wards were assessed using established criteria of polypathology. Prevalence of polypathology, interobserver reliability, clinical features, nutritional status, and HRQoL were assessed using clinical data and interview, mini-nutritional assessment (MNA), and the 12-item short-form health survey (SF-12) scales. Of a total of 812 patients studied, 196 (24%) met polypathology criteria (65% men, of mean age 71.3+/-11.6 years, mean defining chronic diseases 2.4+/-0.046, and other comorbidities 2.6+/-0.094). Interobserver reliability for the detection of cases was good (kappa=0.628). Their mean Charlson index/prescribed drugs were 3.3/6, respectively. Severe dyspnea, delirium, or active neoplasia were present in 44, 15, and 11%. A bad nutritional status/risk of malnutrition was evident in 10.3/52.6%, and correlated with the number of previous hospitalizations (p=0.041), and the presence of active neoplasia (p=0.037). Mean physical/mental summaries of HRQoL were 33.9+/-10, and 42+/-13, and correlated with a better nutritional status (p=0.011, and p=0.001, respectively). Polypathology affects one quarter of inpatients in a hospital setting, and can be easily and reliably identified. The diversity and complexity of patient needs underscore the need for continuity of care between community and hospital, crossing sub-speciality lines and institutional boundaries., (Copyright 2009 Elsevier Ireland Ltd. All rights reserved.)