Albert Roso‐Llorach

ORCID: 0000-0002-9264-0405
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Chronic Disease Management Strategies
  • Frailty in Older Adults
  • Health Systems, Economic Evaluations, Quality of Life
  • Pharmaceutical Practices and Patient Outcomes
  • Atrial Fibrillation Management and Outcomes
  • Medical Coding and Health Information
  • Cancer Immunotherapy and Biomarkers
  • Breast Cancer Treatment Studies
  • Cardiac Arrhythmias and Treatments
  • Medication Adherence and Compliance
  • Cancer Cells and Metastasis
  • Nutrition and Health in Aging
  • Blood Pressure and Hypertension Studies
  • COVID-19 Clinical Research Studies
  • Health disparities and outcomes
  • Heart Rate Variability and Autonomic Control
  • HER2/EGFR in Cancer Research
  • Meta-analysis and systematic reviews
  • Heart Failure Treatment and Management
  • Machine Learning in Healthcare
  • Immunotherapy and Immune Responses
  • Reliability and Agreement in Measurement
  • Total Knee Arthroplasty Outcomes
  • SARS-CoV-2 and COVID-19 Research
  • Heart rate and cardiovascular health

Institut Universitari d'Investigació en Atenció Primària Jordi Gol
2016-2025

AstraZeneca (Spain)
2025

Universidade Federal de Santa Maria
2024

Universitat Autònoma de Barcelona
2015-2023

Red de Investigación en Actividades Preventivas y Promoción de la Salud
2023

Instituto de Salud Carlos III
2023

Hospital de Tortosa Verge de la Cinta
2013-2020

Idiap Research Institute
2020

Johnson Matthey (France)
2016

Institut d'Investigació Sanitària Pere Virgili
2013

Abstract Multimorbidity—the co-occurrence of multiple diseases—is associated to poor prognosis, but the scarce knowledge its development over time hampers effectiveness clinical interventions. Here we identify multimorbidity clusters, trace their evolution in older adults, and detect trajectories mortality single individuals as they move among clusters 12 years. By means a fuzzy c-means cluster algorithm, group 2931 people ≥60 years five clinically meaningful (52%). The remaining 48% are...

10.1038/s41467-020-16780-x article EN cc-by Nature Communications 2020-06-26

Abstract Introduction We investigate dementia risk in older adults with different disease patterns and explore the role of inflammation apolipoprotein E ( APOE ) genotype. Methods A total 2,478 dementia‐free participants two or more chronic diseases (ie, multimorbidity) part Swedish National study on Aging Care Kungsholmen (SNAC‐K) were grouped according to their multimorbidity followed detect clinical dementia. The potential modifier effect C‐reactive protein (CRP) genotype was tested...

10.1002/alz.12237 article EN cc-by-nc Alzheimer s & Dementia 2021-01-06

Multimorbidity is the coexistence of more than two chronic diseases in same individual; however, there no consensus about best definition. In addition, few studies have described variability multimorbidity patterns over time. The aim this study was to identify and their a 6-year period patients older 65 years attended primary health care.A cohort with yearly cross-sectional analysis electronic records from 50 care centres Barcelona. Selected had were age or 2009. Diagnoses (International...

10.1186/s12877-018-0705-7 article EN cc-by BMC Geriatrics 2018-01-16

The burden of chronic conditions and multimorbidity is a growing health problem in developed countries. study aimed to determine the estimated prevalence patterns urban areas Catalonia, stratified by sex adult age groups, assess whether socioeconomic status use primary care services were associated with multimorbidity. A cross-sectional was conducted Catalonia. Participants adults (19+ years) living areas, assigned 251 teams. Main outcome: (≥2 conditions). Other variables: (male/female),...

10.1186/1471-2458-14-530 article EN cc-by BMC Public Health 2014-05-29

The aim of this study is to identify clusters older persons based on their multimorbidity patterns and analyze differences among according sociodemographic, lifestyle, clinical, functional characteristics. We analyzed data from the Swedish National Study Aging Care in Kungsholmen 2,931 participants aged 60 years who had at least two chronic diseases. Participants were clustered by fuzzy c-means cluster algorithm. A disease was considered be associated with a given when observed/expected...

10.1093/gerona/glz137 article EN cc-by-nc The Journals of Gerontology Series A 2019-05-24

the aim of this study was to examine cross-sectional and longitudinal associations different multimorbidity patterns with physical frailty in older adults.we used data from Swedish National on Aging Care Kungsholmen generate a measure, clusters participants similar were identified through fuzzy c-means cluster analyses. The association (n = 2,534) between measured logistic regression Six- 2,122) 12-year 2,140) determined multinomial analyses.six at baseline: psychiatric diseases;...

10.1093/ageing/afab138 article EN cc-by-nc Age and Ageing 2021-06-03

The purpose of this study was to ascertain multimorbidity patterns using a non-hierarchical cluster analysis in adult primary patients with attended care centers Catalonia.

10.1186/s12875-018-0790-x article EN cc-by BMC Family Practice 2018-07-03

The aim was to compare multimorbidity patterns identified with the two most commonly used methods: hierarchical cluster analysis (HCA) and exploratory factor (EFA) in a large primary care database. Specific objectives were: (1) determine whether choice of method affects composition these (2) consider potential application each clinical setting.Cross-sectional study. Diagnoses were based on 263 corresponding blocks International Classification Diseases version 10. Multimorbidity using HCA...

10.1136/bmjopen-2017-018986 article EN cc-by-nc BMJ Open 2018-03-01

Abstract The aim was to analyze the association between specific patterns of multimorbidity and risk disability in older persons. Data were gathered from Swedish National Study on Aging Care Kungsholmen (SNAC-K); 2066 60 + year-old participants living community free at baseline grouped according their followed-up for six years. basic (ADL) instrumental (IADL) activities daily examined through multinomial models. Throughout follow-up, 434 (21.0%) developed least one ADL 310 (15.0%) IADL....

10.1007/s40520-020-01773-z article EN cc-by Aging Clinical and Experimental Research 2021-02-01

Several chronic diseases accelerate cognitive decline; however, it is still unknown how different patterns of multimorbidity influence individuals' trajectories across the continuum.We aimed to investigate impact and specific on transitions stages (normal cognition, impairment, no dementia [CIND], dementia) death.We included 3122 dementia-free individuals from Swedish National study Aging Care in Kungsholmen. Using fuzzy c-means cluster analysis, multimorbid participants were classified into...

10.1111/joim.13683 article EN cc-by Journal of Internal Medicine 2023-06-12

Concurrent diseases, multiple pathologies and multimorbidity patterns are topics of increased interest as the world's population ages. To explore impact on affected patients consequences for health services, we designed a study to describe by sex life-stage in large sample assess association with acute morbidity, area residency use services. A cross-sectional was conducted Catalonia (Spain). Participants were 1,749,710 aged 19+ years (251 primary care teams). Primary outcome: Multimorbidity...

10.1186/1471-2296-15-55 article EN cc-by BMC Family Practice 2014-03-25

The aim of this study was to identify, with soft clustering methods, multimorbidity patterns in the electronic health records a population ≥65 years, and analyse such accordance different prevalence cut-off points applied. Fuzzy cluster analysis allows individuals be linked simultaneously multiple clusters is more consistent clinical experience than other approaches frequently found literature.A cross-sectional conducted based on data from records.284 primary healthcare centres Catalonia,...

10.1136/bmjopen-2019-029594 article EN cc-by-nc BMJ Open 2019-08-01

Objective The purpose of this study was to identify clusters diagnoses in elderly patients with multimorbidity, attended primary care. Design Cross-sectional study. Setting 251 care centres Catalonia, Spain. Participants Individuals older than 64 years registered participating practices. Main outcome measures Multimorbidity, defined as the coexistence 2 or more ICD-10 disease categories electronic health record. Using hierarchical cluster analysis, multimorbidity were identified by sex and...

10.1371/journal.pone.0141155 article EN cc-by PLoS ONE 2015-11-02

The presence of multiple chronic conditions (i.e., multimorbidity) increases the risk hospitalisation in older adults. We aimed to examine association between different multimorbidity patterns and unplanned hospitalisations over 5 years. To that end, 2,250 community-dwelling individuals aged 60 years from Swedish National Study on Aging Care Kungsholmen (SNAC-K) were studied. Participants grouped into six using a fuzzy c-means cluster analysis. associations outcomes tested Cox models...

10.3390/jcm9124001 article EN Journal of Clinical Medicine 2020-12-10

(1) Background: The acquisition of multiple chronic diseases, known as multimorbidity, is common in the elderly population, and it often treated with simultaneous consumption several prescription drugs, polypharmacy. These two concepts are inherently related cause an undue burden on individual. aim this study was to identify combined multimorbidity polypharmacy patterns for population Catalonia. (2) Methods: A cross-sectional using electronic health records from 2012 conducted. mapping...

10.3390/ijerph18179216 article EN International Journal of Environmental Research and Public Health 2021-09-01

Prevalence of both multimorbidity and frailty increases with age, but more evidence is needed to elucidate their relationship association other health-related outcomes. We analysed the dynamics conditions as people age calculate associated risk death, nursing home admission, need for care.Data were drawn from primary care electronic health records a longitudinal cohort aged 65 or older in Catalonia 2010-2019. Frailty measured using validated instruments (eFRAGICAP, cumulative deficit model;...

10.1016/j.eclinm.2022.101610 article EN cc-by-nc-nd EClinicalMedicine 2022-08-11

Abstract Objective To create an electronic frailty index (eFRAGICAP) using health records (EHR) in Catalunya (Spain) and assess its predictive validity with a two-year follow-up of the outcomes: homecare need, institutionalization mortality elderly. Additionally, to concurrent compared other standardized measures: Clinical Frailty Scale (CFS) Risk Instrument for Screening Community (RISC). Methods The eFRAGICAP was based on (eFI) developed United Kingdom, includes 36 deficits identified...

10.1186/s12877-022-03090-8 article EN cc-by BMC Geriatrics 2022-05-07

Multimorbidity and frailty are characteristics of aging that need individualized evaluation, there is a 2-way causal relationship between them. Thus, considering in analyses multimorbidity important for tailoring social health care to the specific needs older people.This study aimed assess how inclusion contributes identifying characterizing patterns people aged 65 years or older.Longitudinal data were drawn from electronic records through SIDIAP (Sistema d'Informació pel Desenvolupament de...

10.2196/45848 article EN cc-by JMIR Public Health and Surveillance 2023-06-27

The implementation of individual clinical practice guidelines in patients with multimorbidity often results polypharmacy. Our aim was to analyse medication use according longitudinal patterns (MP) and determine during a 5-year period (2012-16) which MP are associated abnormal liver kidney function primary care over 65 years age living Catalonia.

10.1186/s12877-020-01580-1 article EN cc-by BMC Geriatrics 2020-06-12

Abstract This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 99 years Catalonia (Spain). Five year (2012–2016) data 916,619 participants from a primary care, population-based electronic health record database (Information System for Research Primary Care, SIDIAP) were included this retrospective cohort study. Individual longitudinal modelled with Hidden Markov Model across patterns. We computed hazard using Cox regression models estimate...

10.1038/s41598-020-73231-9 article EN cc-by Scientific Reports 2020-10-09

To estimate the frequency of chronic conditions and geriatric syndromes in older patients admitted to hospital because an exacerbation their conditions, identify multimorbidity clusters these patients.Multicentre, prospective cohort study.Internal medicine or services five general teaching hospitals Spain.740 aged 65 older, hospitalised between September 2016 December 2018.Active (including risk factors) patient, a score about clinical management during admission, destination at discharge...

10.1136/bmjopen-2021-049334 article EN cc-by-nc BMJ Open 2021-11-01

Abstract Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) contribute to more informed predictions. In this work, we developed prediction models using EHRs inform allocation. study, deep-learning-based prognostic predict 1-year...

10.1007/s10916-024-02138-z article EN cc-by Journal of Medical Systems 2025-01-25
Coming Soon ...