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1.
Drugs Context ; 132024.
Artículo en Inglés | MEDLINE | ID: mdl-38440072

RESUMEN

Background: Occupational exposure to silica is related to autoimmune diseases and features of autoimmunity, mainly autoantibodies. The study objectives were to estimate the prevalence of silicosis with associated autoimmune findings or diagnosed autoimmune diseases in Spain, and to assess the clinical and functional characteristics of affected patients. Methods: This is a multicentre prospective study in patients diagnosed with silicosis. Autoantibodies analysed were antinuclear antibodies, isotypes IgA, IgM and IgG, rheumatoid factor, anticyclic citrullinated peptide, anti-Scl70, anti-Ro, and anti-LA. Pulmonary function tests were performed. Results: Autoimmunity was assessed in 105 patients. Autoimmune findings were recorded in 29 (27%) patients, including antinuclear antibodies (n=21), anti-Ro (n=7), rheumatoid factor (n=5) and anti-Scl70 (n=3). Autoimmune disease was diagnosed in 16 (15%) patients, mainly rheumatoid arthritis (n=7) and systemic lupus erythematosus (n=4). Patients with silicosis and autoimmune findings had a lower mean time of exposure to silica and showed a trend toward lower values in pulmonary function tests. Conclusions: Autoimmune findings and diagnosis of autoimmune diseases were frequent in patients with silicosis in Spain.

2.
Med. clín (Ed. impr.) ; 161(5): 185-191, sept. 2023. tab, graf
Artículo en Inglés | IBECS | ID: ibc-224734

RESUMEN

Background Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. Methods sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic markers were also measured. In-hospital complications were registered, including death, ICU admission, and respiratory support requirements. Results 495 patients were studied (53% male, age: 57.6±17.6). At admission, median sST2 concentrations was 48.5ng/mL [IQR, 30.6–83.1ng/mL] and correlated with male gender, older age, comorbidities, other severity biomarkers, and respiratory support requirements. sST2 levels were higher in patients who died (n=45, 9.1%) (45.6 [28.0, 75.9]ng/mL vs. 144 [82.6, 319] ng/mL, p<0.001) and those admitted to ICU (n=46, 9.3%) (44.7 [27.5, 71.3] ng/mL vs. 125 [69.0, 262]ng/mL, p<0.001). sST2 levels>210ng/mL were a strong predictor of complicated in-hospital courses, with higher risk of death (OR, 39.3, CI95% 15.9, 103) and death/ICU (OR 38.3, CI95% 16.3–97.5) after adjusting for all other risk factors. The addition of sST2 enhanced the predictive capacity of mortality risk models. Conclusions sST2 represents a robust severity predictor in COVID-19 and could be an important tool for identifying at-risk patients who may benefit from closer follow-up and specific therapies (AU)


Antecedentes El supresor soluble de tumorigenicidad 2 (sST2) es un biomarcador de insuficiencia cardiaca y daño pulmonar. Nuestra hipótesis es que la determinación de sST2 al ingreso podría ayudar a predecir la gravedad de la infección por SARS-CoV-2. Métodos Se analizó la concentración de sST2 en pacientes ingresados por neumonía por SARS-CoV-2, junto con otros biomarcadores pronósticos conocidos. Asimismo, se registraron las complicaciones durante la estancia hospitalaria, incluidas la muerte, el ingreso en Unidad de Cuidados Intensivos (UCI) y los requerimientos de soporte respiratorio. Resultados Se estudiaron 495 pacientes (53% hombres, edad 57,6 ± 17,6). Al ingreso, la mediana de la concentración de sST2 fue 48,5 ng/mL (índice intercuartílico [IQR] 30,6-83,1 ng/mL) y correlacionó con el género masculino, una mayor edad, comorbilidades, otros biomarcadores de gravedad, así como necesidad de soporte respiratorio. Los niveles de sST2 fueron mayores en pacientes que fallecieron (n = 45, 9,1%) (45,6 [28,0, 75,9] ng/mL vs. 144 [82,6, 319] ng/mL, p < 0,001) y aquellos que requirieron ingreso en UCI (n = 46, 9,3%) (44,7 [27,5, 71,3] ng/mL vs. 125 [69,0, 262] ng/mL, p < 0,001). Así, los valores de sST2 > 210 ng/mL se han demostrado como un fuerte predictor de complicaciones, con un mayor riesgo de fallecimiento (odds ratio [OR], 39,3, intervalo de confianza [IC] 95% 15,9, 103) y fallecimiento o ingreso en UCI (OR 38,3, IC 95% 16,3-97,5), tras el ajuste por todos los demás factores de riesgo. La adición de la determinación de los niveles de sST2 mejoró la potencia predictiva de los modelos de riesgo desarrollados. Conclusiones El sST2 representa un predictor robusto de la gravedad en pacientes con COVID-19 y podría convertirse en una herramienta importante para la identificación de pacientes en riesgo que podrían beneficiarse de un mayor seguimiento y terapias específicas (AU)


Asunto(s)
Humanos , Masculino , Femenino , Adulto , Persona de Mediana Edad , Anciano , Proteína 1 Similar al Receptor de Interleucina-1/sangre , Infecciones por Coronavirus/sangre , Neumonía Viral/sangre , Infecciones por Coronavirus/mortalidad , Neumonía Viral/mortalidad , Biomarcadores/sangre , Pronóstico
3.
Med Clin (Barc) ; 161(5): 185-191, 2023 09 08.
Artículo en Inglés, Español | MEDLINE | ID: mdl-37137804

RESUMEN

BACKGROUND: Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. METHODS: sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic markers were also measured. In-hospital complications were registered, including death, ICU admission, and respiratory support requirements. RESULTS: 495 patients were studied (53% male, age: 57.6±17.6). At admission, median sST2 concentrations was 48.5ng/mL [IQR, 30.6-83.1ng/mL] and correlated with male gender, older age, comorbidities, other severity biomarkers, and respiratory support requirements. sST2 levels were higher in patients who died (n=45, 9.1%) (45.6 [28.0, 75.9]ng/mL vs. 144 [82.6, 319] ng/mL, p<0.001) and those admitted to ICU (n=46, 9.3%) (44.7 [27.5, 71.3] ng/mL vs. 125 [69.0, 262]ng/mL, p<0.001). sST2 levels>210ng/mL were a strong predictor of complicated in-hospital courses, with higher risk of death (OR, 39.3, CI95% 15.9, 103) and death/ICU (OR 38.3, CI95% 16.3-97.5) after adjusting for all other risk factors. The addition of sST2 enhanced the predictive capacity of mortality risk models. CONCLUSIONS: sST2 represents a robust severity predictor in COVID-19 and could be an important tool for identifying at-risk patients who may benefit from closer follow-up and specific therapies.


Asunto(s)
COVID-19 , Proteína 1 Similar al Receptor de Interleucina-1 , Humanos , Masculino , Adulto , Persona de Mediana Edad , Anciano , Femenino , Pronóstico , COVID-19/diagnóstico , SARS-CoV-2 , Biomarcadores
4.
Sci Rep ; 12(1): 6738, 2022 04 25.
Artículo en Inglés | MEDLINE | ID: mdl-35469047

RESUMEN

The severity of lung involvement is the main prognostic factor in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Carbohydrate antigen 15-3 (CA 15-3), a marker of lung damage and fibrosis, could help predict the prognosis of SARS-CoV-2 pneumonia. This was a retrospective and observational study. CA 15-3 was analyzed in the blood samples of patients consecutively admitted for SARS-CoV-2 pneumonia and whose blood samples were available in the biobank. Other prognostic markers were also measured (interleukin 6 [IL6], C-reactive protein [CRP], D-dimer, troponin T, and NT-ProBNP). The occurrence of in-hospital complications was registered, including death, the need for medical intensive care, and oxygen therapy at discharge. In this study, 539 patients were recruited (54.9% men, mean age: 59.6 ± 16.4 years). At admission, the mean concentrations of CA 15-3 was 20.5 ± 15.8 U/mL, and the concentration was correlated with male sex, older age, and other severity markers of coronavirus disease of 2019 (COVID-19) (IL6, CRP, D-dimer, troponine T, and NT-ProBNP). CA 15-3 levels were higher in patients who died (n = 56, 10.4%) (35.33 ± 30.45 vs. 18.8 ± 12.11, p < 0.001), who required intensive medical support (n = 78, 14.4%; 31.17 ± 27.83 vs. 18.68 ± 11.83; p < 0.001), and who were discharged with supplemental oxygen (n = 64, 13.3%; 22.65 ± 14.41 vs. 18.2 ± 11.7; p = 0.011). Elevated CA 15-3 levels (above 34.5 U/mL) were a strong predictor of a complicated in-hospital course, in terms of a higher risk of death (adjusted odds ratio [OR] 3.74, 95% confidence interval [CI]: 1.22-11.9, p = 0.022) and need for intensive care (adjusted OR 4.56, 95% CI: 1.37-15.8) after adjusting for all other risk factors. The degree of lung damage and fibrosis evaluated in terms of CA 15-3 concentrations may allow early identification of the increased risk of complications in patients with SARS-CoV-2 pneumonia.


Asunto(s)
COVID-19 , Neumonía , Adulto , Anciano , Biomarcadores , Proteína C-Reactiva , COVID-19/diagnóstico , Femenino , Fibrosis , Humanos , Interleucina-6 , Masculino , Persona de Mediana Edad , Mucina-1 , Oxígeno , Pronóstico , Estudios Retrospectivos , SARS-CoV-2
11.
Lung ; 194(3): 335-43, 2016 06.
Artículo en Inglés | MEDLINE | ID: mdl-26932809

RESUMEN

INTRODUCTION: Depression is a prevalent comorbidity in COPD and has an impact on the prognosis of these patients, thereby making it important to study the factors associated with depression in patients with COPD. METHOD: A multicenter, observational and cross-sectional study was conducted to study the factors associated with depression in patients with COPD measured by the hospital anxiety and depression (HAD) questionnaire. We analyzed anthropometric variables and the number of exacerbations in the previous year and calculated the 6-min walking test and the body mass index, airflow obstruction, dyspnea, and exercise (BODE) index. All the patients completed the quality of life EQ-5D and the LCADL physical activity questionnaires. The relationship of these variables with depression was evaluated with two multiple logistic regression models. RESULTS: One hundred fifteen patients were evaluated (93 % male) with a mean age of 66.9 years (SD 8.8) and a mean FEV1 % of 44.4 % (SD 15.7 %). 24.3 % presented symptoms of depression (HAD-D > 8). These latter patients had worse lung function, greater dyspnea, reduced exercise capacity, a higher score in the BODE index, poorer quality of life, reduced physical activity, and more exacerbations. In the first logistic regression model, quality of life and the BODE index were associated with depression (AUC: 0.84; 0.74-0.94). In the second model including the variables in the BODE index, quality of life and dyspnea measured with the MRC scale (AUC: 0.87; 0.79-0.95) were associated with depression. CONCLUSIONS: Nearly one-quarter of the patients with COPD in this study presented clinically significant depression associated with worse quality of life, reduced exercise capacity, greater dyspnea, and a higher score in the BODE index.


Asunto(s)
Depresión/etiología , Disnea/psicología , Enfermedad Pulmonar Obstructiva Crónica/psicología , Calidad de Vida/psicología , Anciano , Índice de Masa Corporal , Estudios de Casos y Controles , Depresión/diagnóstico , Disnea/etiología , Tolerancia al Ejercicio , Femenino , Humanos , Masculino , Persona de Mediana Edad , Enfermedad Pulmonar Obstructiva Crónica/complicaciones , Enfermedad Pulmonar Obstructiva Crónica/fisiopatología , Factores de Riesgo , Encuestas y Cuestionarios , Brote de los Síntomas , Prueba de Paso
14.
Respir Med ; 106(12): 1734-42, 2012 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-23058483

RESUMEN

BACKGROUND: Chronic obstructive pulmonary disease (COPD) places a huge economic burden on healthcare systems, especially patients with frequent exacerbations and co-morbidities. OBJECTIVES: To identify factors associated with high utilisation of healthcare resources in a population of patients with COPD. METHOD: We conducted an observational, cross-sectional, multicentre study with the aim of identifying the factors associated with high resource utilisation among patients with COPD. Sociodemographic and anthropometric characteristics of the study population, as well as data on health-related quality of life, respiratory symptoms, presence of anxiety and depression, physical activity and lung function were collected. We examined the relationship between these variables and high utilisation of healthcare resources, by performing a multivariate analysis based on a logistic regression model. RESULTS: 115 patients (64 were high users of healthcare resources, and 51 control patients) from 13 hospitals were selected. Patients presenting high resource utilisation had worse FEV1, worse basal SpO2, less distance walked in the 6-minute walk test, and increased dyspnoea. They also had a worse BODE index, worse scores in all dimensions of the EURO-QOL 5D and the LCADL scale, and displayed a higher prevalence of depression. Multivariate analysis yielded a statistically significant association between SpO2, LCADL scores, serum fibrinogen values and total leukocyte count, and high healthcare resource utilisation. CONCLUSIONS: COPD patients who incur higher healthcare resource utilisation show reduced physical activity, increased respiratory failure and increased systemic inflammation.


Asunto(s)
Recursos en Salud/estadística & datos numéricos , Hospitalización/estadística & datos numéricos , Enfermedad Pulmonar Obstructiva Crónica/terapia , Anciano , Atención Ambulatoria/estadística & datos numéricos , Estudios Transversales , Disnea/terapia , Ejercicio Físico/fisiología , Femenino , Volumen Espiratorio Forzado/fisiología , Humanos , Masculino , Enfermedad Pulmonar Obstructiva Crónica/fisiopatología , Calidad de Vida , Curva ROC , Insuficiencia Respiratoria/etiología , España , Capacidad Vital/fisiología
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