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1.
J Clin Med ; 12(14)2023 Jul 12.
Article in English | MEDLINE | ID: mdl-37510764

ABSTRACT

INTRODUCTION: Since the beginning of the COVID-19 pandemic in March 2020, an intimate relationship between this disease and cardiovascular diseases has been seen. However, few studies assess the development of heart failure during this infection. This study aims to determine the predisposing factors for the development of heart failure (HF) during hospital admission of COVID-19 patients. METHODOLOGY: A retrospective and multicenter study of patients with HF admitted for COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry). A bivariate analysis was performed to relate the different variables evaluated in patients developing heart failure during hospital admission. A multivariate analysis including the most relevant clinical variables obtained in bivariate analyses to predict the outcome of heart failure was performed. RESULTS: A total of 16.474 patients hospitalized for COVID-19 were included (57.5% men, mean age 67 years), 958 of them (5.8%) developed HF during hospitalization. The risk factors for HF development were: age (odds ratio [OR]): 1.042; confidence interval 95% (CI 95%): 1.035-1.050; p < 0.001), atrial fibrillation (OR: 2.022; CI 95%: 1.697-2.410; p < 0.001), BMI > 30 kg/m2 (OR: 1.460 CI 95%: 1.230-1.733; p < 0001), and peripheral vascular disease (OR: 1.564; CI 95%: 1.217-2.201; p < 0.001). Patients who developed HF had a higher rate of mortality (54.1% vs. 19.1%, p < 0.001), intubation rate (OR: 2,36; p < 0.001), and ICU admissions (OR: 2.38; p < 0001). CONCLUSIONS: Patients who presented a higher risk of developing HF were older with cardiovascular risk factors. The risk factors for HF development were age, atrial fibrillation, obesity, and peripheral vascular disease. In addition, patients who developed HF more frequently required to be intubated or admitted to the ICU.

2.
Ann Med ; 53(1): 103-116, 2021 12.
Article in English | MEDLINE | ID: mdl-33063540

ABSTRACT

BACKGROUND: Hyperglycaemia has emerged as an important risk factor for death in coronavirus disease 2019 (COVID-19). The aim of this study was to evaluate the association between blood glucose (BG) levels and in-hospital mortality in non-critically patients hospitalized with COVID-19. METHODS: This is a retrospective multi-centre study involving patients hospitalized in Spain. Patients were categorized into three groups according to admission BG levels: <140 mg/dL, 140-180 mg/dL and >180 mg/dL. The primary endpoint was all-cause in-hospital mortality. RESULTS: Of the 11,312 patients, only 2128 (18.9%) had diabetes and 2289 (20.4%) died during hospitalization. The in-hospital mortality rates were 15.7% (<140 mg/dL), 33.7% (140-180 mg) and 41.1% (>180 mg/dL), p<.001. The cumulative probability of mortality was significantly higher in patients with hyperglycaemia compared to patients with normoglycaemia (log rank, p<.001), independently of pre-existing diabetes. Hyperglycaemia (after adjusting for age, diabetes, hypertension and other confounding factors) was an independent risk factor of mortality (BG >180 mg/dL: HR 1.50; 95% confidence interval (CI): 1.31-1.73) (BG 140-180 mg/dL; HR 1.48; 95%CI: 1.29-1.70). Hyperglycaemia was also associated with requirement for mechanical ventilation, intensive care unit (ICU) admission and mortality. CONCLUSIONS: Admission hyperglycaemia is a strong predictor of all-cause mortality in non-critically hospitalized COVID-19 patients regardless of prior history of diabetes. KEY MESSAGE Admission hyperglycaemia is a stronger and independent risk factor for mortality in COVID-19. Screening for hyperglycaemia, in patients without diabetes, and early treatment of hyperglycaemia should be mandatory in the management of patients hospitalized with COVID-19. Admission hyperglycaemia should not be overlooked in all patients regardless prior history of diabetes.


Subject(s)
Coronavirus Infections/mortality , Hyperglycemia/complications , Pneumonia, Viral/mortality , Registries , Aged , Aged, 80 and over , Blood Glucose , COVID-19 , Coronavirus Infections/blood , Coronavirus Infections/complications , Critical Care/statistics & numerical data , Female , Humans , Hyperglycemia/mortality , Length of Stay , Male , Middle Aged , Pandemics , Pneumonia, Viral/blood , Pneumonia, Viral/complications , Respiration, Artificial/statistics & numerical data , Spain/epidemiology
3.
Telemed J E Health ; 26(11): 1332-1335, 2020 11.
Article in English | MEDLINE | ID: mdl-32501747

ABSTRACT

Background: The usefulness of telemedicine in the management of the coronavirus disease 2019 (COVID-19) pandemic has not been evaluated. Methods: We conducted a descriptive study of the process of recruitment and follow-up of patients using a telemedicine tool (TELEA) in the management of patients at risk, in a rural environment with a dispersed population in Lugo in north western Spain. Results: A large number of patients diagnosed with COVID-19 infection (N = 545) were evaluated. Of this group, 275 had comorbidities and were enrolled in the program, with a mean age of 57.6 ± 16.3 years, 43.1% male. The risk factors were hypertension (38%), diabetes (16%), asthma (9.5%), heart disease (8.8%), and immunosuppression (5.1%). Patients were followed through the platform with daily control of symptoms and vital signs. Only 8% were admitted to the hospital, 5.1% on a scheduled basis and 2.9% through the emergency room. Conclusion: The telemedicine tool TELEA is useful for the management of high-risk patients with COVID-19.


Subject(s)
COVID-19/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Comorbidity , Female , Humans , Infant , Male , Middle Aged , Pandemics , Risk Factors , Rural Health Services , SARS-CoV-2 , Spain , Telemedicine/organization & administration , User-Computer Interface , Young Adult
4.
Med. clín (Ed. impr.) ; 151(3): 103-108, ago. 2018. tab, graf
Article in Spanish | IBECS | ID: ibc-173850

ABSTRACT

Introducción: No existen datos acerca de la incidencia de ingresos asociados a síndrome de abstinencia alcohólica (SAA) ni sobre su evolución en los últimos años en España. Objetivos: Analizar las características, tasas de incidencia y tendencia evolutiva de los ingresos hospitalarios asociados a SAA en hospitales públicos españoles. Material y método: Análisis de la base de datos del CMBD de hospitales públicos españoles de los ingresos hospitalarios con SAA (CIE9-MC 291.81), delirio por abstinencia alcohólica (CIE9-MC 291.0) o alucinosis por abstinencia alcohólica (CIE9-MC 291.3), entre los años 1999 y 2010. Resultados: Se registraron 56.395 ingresos asociados a SAA. La edad media fue de 50,9 años (DE 12,5) y el 88% eran hombres. El servicio de ingreso más frecuente fue Medicina Interna (24,9%). La estancia media global fue de 12,6 días (DE 14,4) y la mortalidad del 4,7%. El 62,6% desarrollaron SAA durante un ingreso por otro motivo, en su mayoría por enfermedades relacionadas con el alcohol. Los diagnósticos secundarios en pacientes que ingresaron por SAA tenían relación directa o indirecta con el consumo de alcohol en más de la mitad de los casos. La tasa de incidencia de ingresos en España asociados a SAA se mantuvo estable entre 1999 y 2010, con un ligero descenso en los 3 últimos años del periodo. Las comunidades con mayor incidencia fueron Canarias, Baleares y Galicia. Conclusiones: La incidencia de ingresos asociados a SAA en hospitales públicos españoles se ha mantenido estable con pequeñas modificaciones en el periodo 1999-2010. Existen diferencias en la incidencia de ingresos asociados a SAA entre las diferentes comunidades autónomas


Background: There are no data on the incidence of admissions associated with alcohol withdrawal syndrome (AWS) or about its trend over time in Spain. Objective: To analyze the characteristics, incidence rates and trends over time of hospital admissions associated with AWS in Spanish public hospitals. Material and method: Analysis from the Spanish public hospitals minimum basic data set of hospital admissions with AWS (CIE9-MC 291.81), alcohol withdrawal delirium (CIE9-MC 291.0) and alcohol withdrawal hallucinosis (CIE9-MC 291.3), since 1999 to 2010. Results: We identified 56,395 admissions associated with AWS. Mean age was 50.9 (SD 12.5) and 88% were male. The most frequent admission department was Internal Medicine (24.9%). The mean hospital stay was 12.6 days (SD 14.4) and mortality was 4.7%; 62.6% of cases developed AWS during an admission for another reason, mostly due to alcohol-related pathologies. Secondary diagnoses in patients hospitalized for AWS were related to alcohol consumption in more than half of the cases. The incidence rate of admissions associated with AWS in Spain remained stable from 1999 to 2010, with a small decline in the last 3 years of the period. The communities with the highest incidence were the Canary Islands, the Balearic Islands and Galicia. Conclusions: The incidence rate of admissions associated with AWS in Spanish public hospitals in the period 1999-2010 has remained stable with slight changes. There are differences in the incidence of AWS among the different autonomous communities


Subject(s)
Humans , Male , Female , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , Hospitalization/statistics & numerical data , Alcohol Withdrawal Delirium/epidemiology , Spain/epidemiology , Alcohol Abstinence , Alcohol Withdrawal Delirium/mortality
5.
Med Clin (Barc) ; 151(3): 103-108, 2018 08 10.
Article in English, Spanish | MEDLINE | ID: mdl-29274671

ABSTRACT

BACKGROUND: There are no data on the incidence of admissions associated with alcohol withdrawal syndrome (AWS) or about its trend over time in Spain. OBJECTIVE: To analyze the characteristics, incidence rates and trends over time of hospital admissions associated with AWS in Spanish public hospitals. MATERIAL AND METHOD: Analysis from the Spanish public hospitals minimum basic data set of hospital admissions with AWS (CIE9-MC 291.81), alcohol withdrawal delirium (CIE9-MC 291.0) and alcohol withdrawal hallucinosis (CIE9-MC 291.3), since 1999 to 2010. RESULTS: We identified 56,395 admissions associated with AWS. Mean age was 50.9 (SD 12.5) and 88% were male. The most frequent admission department was Internal Medicine (24.9%). The mean hospital stay was 12.6 days (SD 14.4) and mortality was 4.7%; 62.6% of cases developed AWS during an admission for another reason, mostly due to alcohol-related pathologies. Secondary diagnoses in patients hospitalized for AWS were related to alcohol consumption in more than half of the cases. The incidence rate of admissions associated with AWS in Spain remained stable from 1999 to 2010, with a small decline in the last 3 years of the period. The communities with the highest incidence were the Canary Islands, the Balearic Islands and Galicia. CONCLUSIONS: The incidence rate of admissions associated with AWS in Spanish public hospitals in the period 1999-2010 has remained stable with slight changes. There are differences in the incidence of AWS among the different autonomous communities.


Subject(s)
Alcohol Withdrawal Delirium/epidemiology , Hallucinations/epidemiology , Hospitalization/statistics & numerical data , Adult , Age Distribution , Aged , Female , Humans , Incidence , Male , Middle Aged , Sex Distribution , Spain/epidemiology , Syndrome , Young Adult
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