Factores asociados a reingresos hospitalarios en pacientes de edad avanzada

Martínez, María Auxiliadora Martín; Alférez, Rocío Carmona; Mayor, Esperanza Escortell; Blázquez, Milagros Rico; Sarría‐Santamera, Antonio

doi:10.1016/j.aprim.2009.12.007

Cited by 20 publications

(5 citation statements)

References 18 publications

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“…In addition, we have observed that 22.5% of adults with DS in the present study had been admitted at least once during the 12 months leading to the index hospitalisation, with a mortality rate at readmission of 25.2%. The reported rates of readmission among the general population in Spain vary widely, from 16% to 34%, with an associated mortality rate of 7.2% (Alonso Martínez et al, 1998; Martín Martínez et al, 2011). Therefore, mortality during readmission among persons with DS is more than 3‐fold greater than that of the general population.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the circumstances associated with death and predictors of mortality in Spanish adults with Down syndrome, 1997–2014

Aparicio,

Alonso‐Babarro,

Barba

et al. 2024

Research Intellect Disabil

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ObjectivesCharacterise the circumstances associated with death during admission of adults with Down syndrome (DS) and to identify predictors of mortality.Patients and MethodsObservational study based on data on all emergent admissions of adults with DS to hospitals of the Spanish National Health System between 1997 and 2014. We analysed epidemiological and clinical variables.ResultsWe analysed admissions of 11,594 adults with DS, mean age 47 years. 1715 patients died (15%), being the highest mortality (35%) in individuals aged 50–59. A past medical history of cerebrovascular disease (aOR 2.95 [2.30–3.77]) or cancer (aOR 2.79 [2.07–3.75]), gross aspiration's admission (aOR 2.59 [2.20–3.04]), immobility (aOR 2.31 [1.46–3‐62]), and readmission within 30 days (aOR 2.43 [2.06–2.86]) were identified as predictors of mortality.ConclusionsAdults with DS have a high in‐hospital mortality rate. The main predictors of death were cerebrovascular disease, cancer, early readmission, and conditions commonly associated with advanced dementia.

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Section: Discussionmentioning

confidence: 99%

Analysis of the circumstances associated with death and predictors of mortality in Spanish adults with Down syndrome, 1997–2014

Aparicio,

Alonso‐Babarro,

Barba

et al. 2024

Research Intellect Disabil

View full text Add to dashboard Cite

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“…This last feature is not always present in other models, such as the model proposed by Maleki et al [49], which consists of only four questions, including some that are posed directly to the patient/caregiver, such as "does the patient need help with using general transport? "; the Hippisley-Cox and Coupland model [23], with 30 variables, including information not systematically collected in medical records, such as "alcohol status", "smoking status" and "ethnicity"; and the model developed in Spain by Martínez et al [50] that includes the variable "mean nursing care pressure of the primary care team" and "Charlson index" that each require a previous calculation. Other models are more complex and include more variables, as they try to detect the risk of short-term hospital re-admission within, for example, 30 days of discharge, such as PARR-30 [51].…”

Section: Discussionmentioning

confidence: 99%

A Classification System for Decision-Making in the Management of Patients with Chronic Conditions

et al. 2021

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Patients with chronic diseases are frequent users of healthcare services. The systematic use of stratification tools and predictive models for this group of patients can be useful for health professionals in decision-making processes. The aim of this study was to design two new classifier systems for detecting the risk of hospital admission for elderly patients with chronic conditions. In this retrospective cohort study, a set of variables related to hospital admission for patients with chronic conditions was obtained through focus groups, a health database analysis and statistical processing. To predict the probability of admission from the set of predictor variables, a logistic regression within the framework of Generalized Linear Models was used. The target population consisted of patients aged 65 years or older treated in February 2016 at the Primary Health Care Centre of Burjassot (Spain). This sample was selected through the consecutive sampling of the patient quotas of the physicians who participated in the study (1000 patients). The result was two classification systems, with reasonable values of 0.722 and 0.744 for the area under the ROC curve. The proposed classifier systems could facilitate a change in the current patient management models and make them more proactive.

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“…In view of this, the diagnosis of infectious diseases constitutes a problem in that limited medical care is available (e.g. areas with difficult access or rural areas), since these patients require special care due to the complexity of clinical management [7], [10]. This is reflected in an increase in the mortality rate of patients due to delays in treatment [8], [11].…”

Section: Introductionmentioning

confidence: 99%

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

et al. 2020

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This article describes the design, development and implementation of a set of microservices based on an architecture that enables detection and assisted clinical diagnosis within the field of infectious diseases of elderly patients, via a telemonitoring system. The proposed system is designed to continuously update a medical database fed with vital signs from biosensor kits applied by nurses to elderly people on a daily basis. The database is hosted in the cloud and is managed by a flexible microservices software architecture. The computational paradigms of the edge and the cloud were used in the implementation of a hybrid cloud architecture in order to support versatile high-performance applications under the microservices pattern for the pre-diagnosis of infectious diseases in elderly patients. The results of an analysis of the usability of the equipment, the performance of the architecture and the service concept show that the proposed e-health system is feasible and innovative. The system components are also selected to give a cost-effective implementation for people living in disadvantaged areas. The proposed e-health system is also suitable for distributed computing, big data and NoSQL structures, thus allowing the immediate application of machine learning and AI algorithms to discover knowledge patterns from the overall population.

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Factores asociados a reingresos hospitalarios en pacientes de edad avanzada

Abstract: Hospital readmissions have been associated to patient medical condition and to factors related to the health care received. Integrating information from hospital and primary care administrative data bases improves the capacity to identify factors associated with a higher readmission risk.

Cited by 20 publications

References 18 publications

Analysis of the circumstances associated with death and predictors of mortality in Spanish adults with Down syndrome, 1997–2014

Analysis of the circumstances associated with death and predictors of mortality in Spanish adults with Down syndrome, 1997–2014

A Classification System for Decision-Making in the Management of Patients with Chronic Conditions

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

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