Atrial fibrillation as a new prognosis factor in chronic patients after hospitalization: the CHRONIBERIA index

A collaborative project in different areas of Spain and Portugal was designed to find out the variables that influence the mortality after discharge and develop a prognostic model adapted to the current healthcare needs of chronic patients in an internal medicine ward. Inclusion criteria were being admitted to an Internal Medicine department and at least one chronic disease. Patients' physical dependence was measured through Barthel index (BI). Pfeiffer test (PT) was used to establish cognitive status. We conducted logistic regression and Cox proportional hazard models to analyze the influence of those variables on one-year mortality. We also developed an external validation once decided the variables included in the index. We enrolled 1406 patients. Mean age was 79.5 (SD = 11.5) and females were 56.5%. After the follow-up period, 514 patients (36.6%) died. Five variables were identified as significantly associated with 1 year mortality: age, being male, lower BI punctuation, neoplasia and atrial fibrillation. A model with such variables was created to estimate one-year mortality risk, leading to the CHRONIBERIA. A ROC curve was made to determine the reliability of this index when applied to the global sample. An AUC of 0.72 (0.7-0.75) was obtained. The external validation of the index was successful and showed an AUC of 0.73 (0.67-0.79). Atrial fibrillation along with an advanced age, being male, low BI score, or an active neoplasia in chronic patients could be critical to identify high risk multiple chronic conditions patients. Together, these variables constitute the new CHRONIBERIA index.

Executive summary on the use of telemedicine in the hospital setting: Recommendations from the International Forum on Internal Medicine

The implementation of telemedicine as another tool for patient care in the hospital setting is a challenge for any healthcare system. Given the difficulties and limitations, the International Forum on Internal Medicine (FIMI, for its initials in Spanish) has sponsored this consensus document with 20 scientific societies from 17 countries in Europe and the Americas. The aim was to propose a general framework that allows for the development and implementation of telemedicine in hospital clinical care that would be useful to FIMI member countries. The document we present includes recommendations from the FIMI in its executive summary that intend to guarantee effective, safe, efficient, sustainable, and proportional healthcare interventions based on the best scientific evidence available. The authors believe that this document must be updated within a maximum period of two years.

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

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 < 0.01), had shorter hospital stays (p < 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.

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

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.

Monitoring of COVID-19 patients via telemedicine with telemonitoring

Aim

To asses if telemedicine with telemonitoring is a clinically useful and safe tool for monitoring patients with COVID-19.

Methods

A prospective observational study of patients with COVID-19 diagnosed via a positive PCR test who were considered high-risk and who were monitored with telemedicine and telemonitoring in the Lugo Healthcare Area between March 17th and April 17th, 2020, was conducted. Two groups of patients were included: those in outpatient monitoring from the beginning and those in outpatient monitoring following hospital discharge. Every patient completed a clinical questionnaire with his or her temperature once per day and oxygen saturation levels three times per day. Proactive monitoring was done by getting in touch with every patient at least once a day.

Results

A total of 313 patients (52.4% female) with a mean age of 60.9 (SD 15.9) years were included. Two patients refused to participate in the program. Finally, 224 were monitored from the beginning and 89 patients were monitored after discharged. In the first group, 38 (16.90%) were referred to the Emergency department on 43 occasions; 18 (8.03%) were hospitalized, and two died. There were no deaths or lifethreatening at home. Including the patients monitored after hospitalization, monitoring was performed in 304 cases. One patient was readmited (0.32%) and another left the program (0.32%). The mean time of monitoring was 11.64 (SD 3.58) days and 224 (73.68%) patients were discharged during the 30 days the study lasted.

Conclusions

Our data suggest that telemedicine with at-home telemonitoring, when used proactively, allows for clinically useful and safe monitoring of high-risk patients with COVID-19.

[Monitoring of COVID-19 patients by telemedicine with telemonitoring]

Objetivo

Evaluar si la telemedicina con telemonitorización es una herramienta clínicamente útil y segura para el seguimiento de pacientes con COVID-19.

Métodos

Estudio observacional prospectivo de los pacientes con diagnóstico de COVID-19 por PCR positiva y considerados de alto riesgo que se siguieron con telemedicina y telemonitorización en el Área Sanitaria de Lugo entre el 17 de marzo y el 17 de abril del 2020. Se incluyeron 2 grupos de pacientes: seguimiento ambulatorio desde el inicio y tras el alta hospitalaria. Cada paciente remitió un cuestionario clínico al día con su temperatura y saturación de oxígeno 3 veces al día. El seguimiento fue proactivo, contactando con todos los pacientes al menos una vez al día.

Resultados

Se incluyó a 313 pacientes (52,4% mujeres) con edad media 60,9 (DE 15,9) años. Otros 2 pacientes rehusaron entrar en el programa. Desde el inicio, se siguió ambulatoriamente a 224 pacientes y a 89 pacientes tras su alta hospitalaria. Entre los primeros, 38 (16,90%) se remitieron a Urgencias en 43 ocasiones con 18 (8,03%) ingresos y 2 fallecidos. En los domicilios no hubo fallecimientos ni urgencias vitales. Incluyendo a los pacientes tras hospitalización, el seguimiento se realizó en 304 casos. Un paciente reingresó (0,32%) y otro abandonó (0,32%). El tiempo medio de seguimiento fue 11,64 (DE 3,58) días y en los 30 días del estudio 224 (73,68%) pacientes fueron dados de alta.

Conclusiones

Nuestros datos sugieren que la telemedicina con telemonitorización domiciliaria, utilizada de forma proactiva, permite un seguimiento clínicamente útil y seguro en pacientes con COVID-19 de alto riesgo.

RECALMIN: The association between management of Spanish National Health Service Internal Medical Units and health outcomes

Objective

To investigate the association between management of Internal Medical Units (IMUs) with outcomes (mortality and length of stay) within the Spanish National Health Service.

Design

Data on management were obtained from a descriptive transversal study performed among IMUs of the acute hospitals. Outcome indicators were taken from an administrative database of all hospital discharges from the IMUs.

Setting

Spanish National Health Service.

Participants

One hundred and twenty-four acute general hospitals with available data of management and outcomes (401 424 discharges).

Main Outcome Measures

IMU risk standardized mortality rates were calculated using a multilevel model adjusted by Charlson Index. Risk standardized myocardial infarction and heart failure mortality rates were calculated using specific multilevel models. Length of stay was adjusted by complexity.

Results

Greater hospital complexity was associated with longer average length of stays (r: 0.42; P < 0.001). Crude in-hospital mortality rates were higher at larger hospitals, but no significant differences were found when mortality was risk adjusted. There was an association between nurse workload with mortality rate for selected conditions (r: 0.25; P = 0.009). Safety committee and multidisciplinary ward rounds were also associated with outcomes.

Conclusions

We have not found any association between complexity and intra-hospital mortality. There is an association between some management indicators with intra-hospital mortality and the length of stay. Better disease-specific outcomes adjustments and a larger number of IMUs in the sample may provide more insights about the association between management of IMUs with healthcare outcomes.

The Internal Medicine of the 21st century: Organizational and operational standards

The Spanish Society of Internal Medicine has developed a consensus document on the standards and recommendations that they consider essential to the organisation of internal medicine units for conducting their activities efficiently and with high quality. We defined 3 groups of key processes: the care of acutely ill adult patients, the comprehensive care of complex chronic patients and the examination of a patient with a difficult diagnosis and no organ-specific disease. As support processes, we identified the structure and operation of the Internal Medicine units. As strategic processes, we identified training and research. The main subprocesses are structured below, and we established the standards and recommendations for each of them. Lastly, we proposed resulting workloads. The prepared standards must be reviewed within a maximum of 4 years.

Characteristics and temporal pattern of the readmissions of patients with multiple hospital admissions in the medical departments of a general hospital

INTRODUCTION

Patients with multiple hospital admissions represent a small percentage of total hospitalizations but result in a considerable proportion of the healthcare expenditure. There are no studies that have analyzed their long-term clinical evolution.

OBJECTIVES

To study the characteristics, temporal patterns of readmissions and clinical evolution of patients with multiple hospital admission in the long term.

METHODS

A retrospective study was conducted of all hospital admissions in the medical area of the Hospital of Lugo (Spain) between January 1, 2000 and December 31, 2012, based on data from the center's minimum basic data set.

RESULTS

A total of 139,249 hospital admissions for 62,515 patients were studied. Six hospital admissions were recorded for 6.4% of the patients. The overall mortality rate was 16% (9982 patients). The readmissions rate steadily increased with each new admission, from 48% after the first event to 74.6% after the fifth. The rate of hospital readmission before 30days increased from 18.3% in the second admission to 36.3% in the sixth. The number of chronic diseases increased from 3.1 (SD, 2) in the first hospital admission up to 4.9 (2.8) in the sixth. The Department of Internal Medicine treated a third of all hospital admissions. In the sixth hospitalization, conditions associated with admission in Internal Medicine were CIRS score, age, heart failure, COPD, dementia, diabetes, atrial fibrillation and anemia.

CONCLUSIONS

Patients with multiple hospital admissions are complex patients whose temporal pattern of readmissions changes with time, such that each hospital admission constitutes a factor facilitating the next.

Electrocardiographic abnormalities in centenarians: impact on survival

Background

The centenarian population is gradually increasing, so it is becoming more common to see centenarians in clinical practice. Electrocardiogram abnormalities in the elderly have been reported, but several methodological biases have been detected that limit the validity of their results. The aim of this study is to analyse the ECG abnormalities in a prospective study of the centenarian population and to assess their impact on survival.

Method

We performed a domiciliary visit, where a medical history, an ECG and blood analysis were obtained. Barthel index (BI), cognitive mini-exam (CME) and Charlson index (ChI) were all determined. Patients were followed up by telephone up until their death.

Results

A total of 80 centenarians were studied, 26 men and 64 women, mean age 100.8 (SD 1.3). Of these, 81% had been admitted to the hospital at least once in the past, 81.3% were taking drugs (mean 3.3, rank 0–11). ChI was 1.21 (SD 1.19). Men had higher scores both for BI (70 -SD 34.4- vs. 50.4 -SD 36.6-, P = .005) and CME (16.5 -SD 9.1- vs. 9.1 –SD 11.6-, P = .008); 40.3% of the centenarians had anaemia, 67.5% renal failure, 13% hyperglycaemia, 22.1% hypoalbuminaemia and 10.7% dyslipidaemia, without statistically significant differences regarding sex. Only 7% had a normal ECG; 21 (26.3%) had atrial fibrillation (AF), 30 (37.5%) conduction defects and 31 (38.8%) abnormalities suggestive of ischemia, without sex-related differences. A history of heart disease was significantly associated with the presence of AF (P = .002, OR 5.2, CI 95% 1.8 to 15.2) and changes suggestive of ischemia (P = .019, OR 3.2, CI 95% 1.2-8.7). Mean survival was 628 days (SD 578.5), median 481 days. Mortality risk was independently associated with the presence of AF (RR 2.0, P = .011), hyperglycaemia (RR 2.2, P = .032), hypoalbuminaemia (RR 3.5, P < .001) and functional dependence assessed by BI (RR 1.8, P = .024).

Conclusion

Although ECG abnormalities are common in centenarians, they are not related to sex, functional capacity or cognitive impairment. The only abnormality that has an impact on survival is AF.