Description of multimorbidity clusters of admitted patients in medical departments of a general hospital

Review[Abstract] Objective: We aim to identify patterns of disease clusters among inpatients of a general hospital and to describe the characteristics and evolution of each group. Methods: We used two data sets from the CMBD (Conjunto mínimo básico de datos - Minimum Basic Hospital Data Set (MBDS)) of the Lucus Augusti Hospital (Spain), hospitalisations and patients, realising a retrospective cohort study among the 74 220 patients discharged from the Medic Area between 01 January 2000 and 31 December 2015. We created multimorbidity clusters using multiple correspondence analysis. Results: We identified five clusters for both gender and age. Cluster 1: alcoholic liver disease, alcoholic dependency syndrome, lung and digestive tract malignant neoplasms (age under 50 years). Cluster 2: large intestine, prostate, breast and other malignant neoplasms, lymphoma and myeloma (age over 70, mostly males). Cluster 3: malnutrition, Parkinson disease and other mobility disorders, dementia and other mental health conditions (age over 80 years and mostly women). Cluster 4: atrial fibrillation/flutter, cardiac failure, chronic kidney failure and heart valve disease (age between 70-80 and mostly women). Cluster 5: hypertension/hypertensive heart disease, type 2 diabetes mellitus, ischaemic cardiomyopathy, dyslipidaemia, obesity and sleep apnea, including mostly men (age range 60-80). We assessed significant differences among the clusters when gender, age, number of chronic pathologies, number of rehospitalisations and mortality during the hospitalisation were assessed (p<0001 in all cases). Conclusions: We identify for the first time in a hospital environment five clusters of disease combinations among the inpatients. These clusters contain several high-incidence diseases related to both age and gender that express their own evolution and clinical characteristics over time

Estimating the Prevalence of Cardiac Amyloidosis in Old Patients with Heart Failure—Barriers and Opportunities for Improvement: The PREVAMIC Study

Background: Cardiac amyloidosis (CA) could be a common cause of heart failure (HF). The objective of the study was to estimate the prevalence of CA in patients with HF. Methods: Observational, prospective, and multicenter study involving 30 Spanish hospitals. A total of 453 patients >= 65 years with HF and an interventricular septum or posterior wall thickness > 12 mm were included. All patients underwent a Tc-99m-DPD/PYP/HMDP scintigraphy and monoclonal bands were studied, following the current criteria for non-invasive diagnosis. In inconclusive cases, biopsies were performed. Results: The vast majority of CA were diagnosed non-invasively. The prevalence was 20.1%. Most of the CA were transthyretin (ATTR-CM, 84.6%), with a minority of cardiac light-chain amyloidosis (AL-CM, 2.2%). The remaining (13.2%) was untyped. The prevalence was significantly higher in men (60.1% vs 39.9%, p = 0.019). Of the patients with CA, 26.5% had a left ventricular ejection fraction less than 50%. Conclusions: CA was the cause of HF in one out of five patients and should be screened in the elderly with HF and myocardial thickening, regardless of sex and LVEF. Few transthyretin-gene-sequencing studies were performed in older patients. In many patients, it was not possible to determine the amyloid subtype

TELEMEDICINA Y PRÁCTICA CLÍNICA

Recientemente se ha publicado en esta revista dos interesantes notas acerca de la relación entre telemedicina y nuestra práctica clínica (1, 2). En ambas se reflexiona acerca de la relación entre una práctica centrada en el paciente y el uso de la telemedicina, en expansión tras la pandemia COVID. Se señala que esta rápida implantación en el uso de esta herramienta puede hacer perder el foco en lo realmente importante de nuestra práctica clínica diaria: Una atención individualizada cuyo eje sea el enfermo. En nuestra experiencia la telemedicina es un arma más de nuestro arsenal clínico, como lo puede ser la historia clínica electrónica o la ecografía. Se trata de una herramienta altamente flexible y útil, que permite realizar a distancia gran cantidad de actos médicos que hasta su aplicación suponían, en ocasiones, desplazamientos innecesarios (3). Existen múltiples ejemplos, la mayoría de los mismos antes de la pandemia: desde las consultas telefónicas a la telemonitorización, pasando por proyectos de teledermatología, teleictus o teleradiología (4, 5). La aparición de la COVID y el intento por disminuir la exposición de los pacientes únicamente ha puesto de manifiesto lo ampliamente aplicable que es esta herramienta. Es extremadamente adaptable, adaptándose sin problemas a múltiples especialidades médicas, a patologías agudas y crónicas, a práctica clínica habitual o grandes pandemias, en ciudades o en ambientes rurales y con escasos medios… Pero se trata de una herramienta más. Y como tal sus aplicaciones concretas y distintas formas deben contar con el clínico en su desarrollo, debe formarse al personal (facultativos y no facultativos) en su uso, su aplicación o sus limitaciones y deben adecuarse a las capacidades y circunstancias del paciente, que no debe dejar de ser el centro de la atención. Por otra parte, aún existen lagunas legales para su uso y aplicación (6). Sería preciso que la legislación se adecúe a los avances tecnológicos y a las necesidades de nuestros pacientes

Evaluation of a patient-centered integrated care program for individuals with frequent hospital readmissions and multimorbidity

[Abstract] Managing patients with multimorbidity and frequent hospital readmissions is a challenge. Integrated care programs that consider their needs and allow for personalized care are necessary for their early identification and management. This work aims to describe these patients' clinical characteristics and evaluate a program designed to reducing readmissions. This prospective study analyzed all patients with ≥ 3 admissions to a medical department in the previous year who were included in the Internal Medicine Department chronic care program at the Lucus Augusti University Hospital (Lugo, Spain) between April 1, 2019 and April 30, 2021. A multidimensional assessment, personalized care plan, and proactive follow-up with a case manager nurse were provided via an advanced hospital system. Clinical and demographic variables and data on healthcare system use were analyzed at 6 and 12 months before and after inclusion. Descriptive and survival analyses were performed. One hundred sixty-one patients were included. Program participants were elderly (mean 81.4 (SD 11) years), had multimorbidity (10.2 (3) chronic diseases) and polypharmacy (10.6 (3.5) drugs), frequently used the healthcare system, and were highly complex. Most were included for heart failure. The program led to significant reductions in admissions and emergency department visits (p = .0001). A total of 44.7% patients died within 1 year. The PROFUND Index showed good predictive ability (p = .013), with high values associated with mortality (RR 1.15, p = .001). Patients with frequent hospital readmissions are highly complex and need special care. A personalized integrated care program reduced admissions and allowed for individualized decision-making

Efficacy of Telemedicine and Telemonitoring in At-Home Monitoring of Patients with COVID-19

Aim: this work aims to assess if telemedicine and telemonitoring are clinically useful and safe for at-home monitoring of Coronavirus disease 2019 (COVID-19) patients. Methods: This is a retrospective cohort study of all patients diagnosed with COVID-19 in Galicia (Northwestern Spain) between 26 December 2020 and 15 February 2021. The structured, proactive monitoring via telemonitoring (TELEA) of patients considered to be high-risk in the Lugo, A Mariña, and Monforte Healthcare Area (ASLAM) was evaluated compared to other models in the remaining healthcare areas of Galicia. Results: Of the 47,053 COVID-19 patients, 4384 (9.3%) were in ASLAM. Of them, 1187 (27.1%) were monitored via TELEA, and the rest (3197 in ASLAM and 42,669 in the rest of Galicia) were monitored via other methods. Patients monitored in ASLAM via TELEA were older, consulted in the emergency department less frequently (p = 0.05), were hospitalized less frequently (p &lt; 0.01), had shorter hospital stays (p &lt; 0.0001), and had a lower mortality rate in their first hospitalization (p = 0.03). No at-home life-threatening emergencies were recorded. Conclusions: these data suggest that, for COVID-19 patients, a care model involving proactive at-home monitoring with telemedicine and telemonitoring is associated with reduced pressure on hospital services and a lower mortality rate

Efficacy of Telemedicine and At-Home Telemonitoring following Hospital Discharge in Patients with COVID-19

Aim: This work aims to evaluate the safety and utility of an at-home telemedicine with telemonitoring program for discharged COVID-19 patients. Methods: This is a retrospective cohort study of all patients discharged home in Galicia between 6 March 2020 and 15 February 2021. We evaluated a structured, proactive monitoring program conducted by the ASLAM (&Aacute;rea Sanitaria de Lugo, A Mari&ntilde;a y Monforte de Lemos) Healthcare Area team compared to patients discharged in the rest of the Autonomous Community of Galicia. Results: During the study period, 10,517 patients were hospitalized for COVID-19 and 8601 (81.8%) were discharged. Of them, 738 (8.6%) were discharged in ASLAM and 7863 (91.4%) were discharged in the rest of Galicia. Of those discharged in ASLAM, 475 (64.4%) patients were monitored. Compared to patients in the rest of Galicia, the group monitored via telemedicine had a significantly shorter first hospital stay (p &lt; 0.0001), a lower readmission rate (p = 0.05), and a shorter second hospital stay (p = 0.04), with no differences in emergency department visits or 90-day all-cause mortality. Conclusion: A structured, proactive telemedicine with telemonitoring program for discharged COVID-19 patients is a safe, useful tool that reduces the mean length of hospital stay and readmissions