[Corticoid treatment and SARS-CoV-2 variants: two independent factors associated with COVID-19 mortality in a Spanish regional hospital].

BACKGROUND: Pandemic inter-wave hospital admissions and COVID-19-related mortality rates vary greatly. Some of the factors that may be playing part in this are the profile of the patients, viral variants, pharmacological treatments, or preventive measures. This work aimed to analyze the factors associated with mortality in COVID-19 patients admitted to hospital during 2020-2021. METHODS: Retrospective cohort study with COVID-19 patients admitted to Hospital de Barbastro (Spain) during 2020-2021. Data were collected from the Spanish Conjunto Mínimo Básico de Datos and microbiology and electronic prescription records. RESULTS: During the study period, 908 patients were consecutively admitted for COVID-19 (median age 70 years, 57.2% males); 162 (17.8%) patients died. We identified seven successive epidemiological waves. The following variables significantly associated to higher mortality: age, arterial hypertension, chronic renal failure, dementia, chronic obstructive pulmonary disease, heart failure, prior stroke, Charlson index, and wave 2; wave 4 was associated to greater survival. The multivariate analysis showed that age (OR=1.11; 95% CI: 1.09-1.14), chronic obstructive pulmonary disease (OR=2.33; 95% CI: 1.18-4.57), wave 2 (OR=2.57; 95% CI: 1.10-6.00), and wave 3 (OR=2.94; 95% CI: 1.17-7.38) associated with higher mortality. Glucocorticoid treatment was the only protective factor (OR=0.29; 95%CI: 0.14-0.62). CONCLUSIONS: This study confirms the therapeutic utility of glucocorticoids to reduce in-hospital mortality due to COVID-19. Heterogeneous mortality rates between the different COVID-19 waves suggest a direct role of viral variants as determinants of lethality, regardless of the patient's history.

Tratamiento corticoide y variantes SARS-CoV-2: dos factores independientes de mortalidad por COVID-19 en un hospital comarcal / Corticoid treatment and SARS-CoV-2 variants: two independent factors associated with COVID-19 mortality in a Spanish regional hospital

Fundamento: Existe gran heterogeneidad en tasas de ingresohospitalario y mortalidad derivada entre olas de COVID-19, pudiendo deberse al perfil de paciente, las variantes virológicas, lostratamientos y las medidas preventivas. El objetivo de este trabajoes analizar los factores asociados a mortalidad de pacientes ingresados por infección COVID-19 hasta finales de 2021.Métodología: Estudio de cohortes retrospectivo de pacientes COVID-19 en el Hospital General de Barbastro durante 2020 y 2021.Los datos se obtuvieron del Conjunto Mínimo Básico de Datos(CMBD), de registros de Microbiología y de prescripción electrónica de fármacos.Resultados: En el periodo de estudio ingresaron consecutivamente 908 pacientes por COVID-19 (mediana de 70 años, 57,2%varones), de los que 162 fallecieron (17,8%). Identificamos sieteolas epidemiológicas sucesivas. Las variables significativamenteasociadas a una mayor mortalidad fueron: edad, antecedentesde hipertensión arterial, insuficiencia renal crónica, demencia,EPOC, insuficiencia cardiaca, ictus previo, puntuación Charlsony la ola 2; la ola 4 se asoció a mayor supervivencia. En el análisismultivariante las variables asociadas a mayor mortalidad fueron:edad (OR=1,11; IC95%: 1,09-1,14), EPOC (OR=2,33; IC95%: 1,18-4,57), y las olas 2 (OR=2,57; IC95%: 1,10-6,00) y 3 (OR=2,94; IC95%:1,17-7,38); el tratamiento con glucocorticoides actuó como factorprotector (OR=0,29; IC95%: 0,14-0,62).Conclusiones: Este estudio confirma la utilidad terapéutica de losglucocorticoides para disminuir la mortalidad hospitalaria porCOVID-19. La diferente mortalidad entre las distintas olas epidemiológicas sugiere un papel directo de las variantes virológicascomo determinantes de la letalidad, independientemente de losantecedentes del paciente.(AU)

Background: Pandemic inter-wave hospital admissions andCOVID-19-related mortality rates vary greatly. Some of thefactors that may be playing part in this are the profile of thepatients, viral variants, pharmacological treatments, or preventive measures. This work aimed to analyze the factors associated with mortality in COVID-19 patients admitted to hospitalduring 2020-2021.Methods: Retrospective cohort study with COVID-19 patientsadmitted to Hospital de Barbastro (Spain) during 2020-2021. Datawere collected from the Spanish Conjunto Mínimo Básico de Datos and microbiology and electronic prescription records.Results: During the study period, 908 patients were consecutively admitted for COVID-19 (median age 70 years, 57.2%males); 162 (17.8%) patients died. We identified seven successive epidemiological waves. The following variables significantly associated to higher mortality: age, arterial hypertension,chronic renal failure, dementia, chronic obstructive pulmonarydisease, heart failure, prior stroke, Charlson index, and wave2; wave 4 was associated to greater survival. The multivariateanalysis showed that age (OR=1.11; 95% CI: 1.09-1.14), chronic obstructive pulmonary disease (OR=2.33; 95% CI: 1.18-4.57),wave 2 (OR=2.57; 95% CI: 1.10-6.00), and wave 3 (OR=2.94; 95%CI: 1.17-7.38) associated with higher mortality. Glucocorticoidtreatment was the only protective factor (OR=0.29; 95%CI: 0.14-0.62).Conclusions: This study confirms the therapeutic utility of glucocorticoids to reduce in-hospital mortality due to COVID-19.Heterogeneous mortality rates between the different COVID-19waves suggest a direct role of viral variants as determinants oflethality, regardless of the patient’s history.(AU)

Comparación de los índices PROFUND y PALIAR en pacientes pluripatológicos con enfermedad crónica no oncológica en fase avanzada / Comparison between PROFUND and PALIAR indexes in polypathological patients with advanced non-oncologic chronic diseases

Fundamento y objetivo: Comparar la rentabilidad de los índices PALIAR y PROFUND para predecir la mortalidad en pacientes pluripatológicos con enfermedad crónica no oncológica en fase avanzada. Material y métodos: Estudio de cohortes, prospectivo y multicéntrico con pacientes pluripatológicos con enfermedades crónicas no oncológicas en fase avanzada ingresados en departamentos de medicina interna entre el 1 de julio y el 31 de diciembre de 2014. Se recogieron datos de edad, género, categorías de pluripatología, enfermedad avanzada, comorbilidad, valoración funcional y cognitiva, síntomas de enfermedad terminal, necesidad de cuidador, ingresos en los 3 y 12 meses previos, número de fármacos, y se calcularon los índices PROFUND y PALIAR. Tras un seguimiento durante 12 meses la mortalidad se valoró con las curvas de supervivencia de Kaplan-Meier y la rentabilidad de los índices con las curvas ROC. Resultados: Se incluyeron 213 pacientes con edad media 83 (7) años y 106 (49,8%) eran mujeres. La mortalidad a los 6 meses fue del 40,4% y a los 12 del 50,2%. Los pacientes fallecidos puntuaban más alto en los índices PROFUND [11,2(4,2) frente a 8,5(3,9); p<0,001] y PALIAR [6,7 (4,6) frente a 3,6 (3,1); p<0,001]. La capacidad discriminativa del índice PALIAR a los 6 meses (área bajo la curva 0,734; IC95% 0,665-0,803) fue superior a la del índice PROFUND y no hubo diferencias a los 12 meses. Conclusiones: En pacientes pluripatológicos con enfermedad crónica en fase avanzada el índice PALIAR tiene un rendimiento mayor que el índice PROFUND para predecir la mortalidad a los 6 meses y similar a los 12 meses

Background and objective: To compare the discrimination power of PROFUND and PALIAR indexes for predicting mortality in polypathological patients with advanced non-oncologic chronic disease. Material and methods: Prospective multicentre cohort study. We included polypathological patients with advanced non-oncologic chronic disease, who were admitted to internal medicine departments between July 1st and December 31th, 2014. Data was collected from each patient on age, sex, categories of polypathology, advanced disease, comorbidity, functional and cognitive assessment, terminal illness symptoms, need for caregiver, hospitalisation in the past three and 12 months and number of drugs. We calculated the PROFUND and PALIAR indexes and conducted a 12-month follow-up. We assessed mortality with the Kaplan-Meier survival curves and the discrimination of indexes with the ROC curves. Results: We included 213 patients with a mean (standard deviation) age of 83.0 (7.0) years, 106 (49.8%) of whom were female. Mortality at six months was 40.4% and at 12 months 50.2%. Deceased patients scored higher scores on the PROFUND [11.2(4.2) vs 8.5(3.9); P<.001] and PALIAR [6.7 (4.6) vs 3.6(3.1); p<0,001] indexes. The discrimination of PALIAR index at six months (under the curve area 0.734 95%CI 0.665-0.803) was higher than of PROFUND, and there was no difference at 12 months. Conclusions: In polypathological patients with advanced non-oncologic chronic disease, the PALIAR index had better discrimination power than PROFUND index at 66 months and there were no differences at 12 months

Comparison between PROFUND and PALIAR indexes in polypathological patients with advanced non-oncologic chronic diseases. / Comparación de los índices PROFUND y PALIAR en pacientes pluripatológicos con enfermedad crónica no oncológica en fase avanzada.

BACKGROUND AND OBJECTIVE: To compare the discrimination power of PROFUND and PALIAR indexes for predicting mortality in polypathological patients with advanced non-oncologic chronic disease. MATERIAL AND METHODS: Prospective multicentre cohort study. We included polypathological patients with advanced non-oncologic chronic disease, who were admitted to internal medicine departments between July 1st and December 31th, 2014. Data was collected from each patient on age, sex, categories of polypathology, advanced disease, comorbidity, functional and cognitive assessment, terminal illness symptoms, need for caregiver, hospitalisation in the past three and 12 months and number of drugs. We calculated the PROFUND and PALIAR indexes and conducted a 12-month follow-up. We assessed mortality with the Kaplan-Meier survival curves and the discrimination of indexes with the ROC curves. RESULTS: We included 213 patients with a mean (standard deviation) age of 83.0 (7.0) years, 106 (49.8%) of whom were female. Mortality at six months was 40.4% and at 12 months 50.2%. Deceased patients scored higher scores on the PROFUND [11.2(4.2) vs 8.5(3.9); P<.001] and PALIAR [6.7 (4.6) vs 3.6(3.1); p<0,001] indexes. The discrimination of PALIAR index at six months (under the curve area 0.734 95%CI 0.665-0.803) was higher than of PROFUND, and there was no difference at 12 months. CONCLUSIONS: In polypathological patients with advanced non-oncologic chronic disease, the PALIAR index had better discrimination power than PROFUND index at 66 months and there were no differences at 12 months.

External validation of the PALIAR index for patients with advanced, nononcologic chronic diseases.

OBJECTIVE: To externally validate the PALIAR index for patients with advanced, nononcologic chronic diseases. METHODS: We performed a prospective, multicenter cohort study that included patients with advanced, nononcologic chronic diseases hospitalized in internal medicine departments and treated consecutively by the researchers between July 1st and December 31st, 2014. Data were collected from each patient on age, sex, advanced disease, Charlson index, comorbidities, Barthel index, terminal illness symptoms, need for caregiver, hospitalization in the past 3 and 12 months and number of drugs. We calculated the PALIAR index and conducted a 6-month follow-up. To analyze the association between the variables and mortality, we constructed several multivariate logistic regression models. RESULTS: The study included 295 patients with a mean age of 82.7 (8.6) years, 148 (50.2%) of whom were women. Mortality at 6 months was associated with the albumin level (OR 0.52, 95% CI 0.30-0.85, p = 0.011), and the terminal illness (OR 2.75, 95% CI 1.55-4.89, p = 0.001). The PALIAR index showed good discrimination for predicting mortality (statistical C, 0.728, 95% CI 0.670-0.787). A reduced version of the PALIAR index showed similar mortality discriminatory power. CONCLUSIONS: The PALIAR index is a reliable tool for predicting mortality in patients with advanced, nononcologic chronic diseases.

Registry of the Spanish network for systemic sclerosis: clinical pattern according to cutaneous subsets and immunological status.

OBJECTIVE: To investigate the incidence of clinical and immunological characteristics of a large cohort of Spanish patients with scleroderma (SSc) and identifying factors associated with particular organ manifestations assessed by a nationwide cross-sectional analysis. METHODS: We classified SSc patients in 4 subsets using a modification of LeRoy and Medsger classification that included: "prescleroderma" (pre-SSc), limited cutaneous SSc (lcSSc), diffuse cutaneous SSc (dcSSc), and SSc sine scleroderma (ssSSc). Fourteen Spanish centers participated in patient recruitment. On January 2008, the database included 916 consecutive Spanish SSc patients, 801 women (87.4%) and 115 men (12.6%), all of whom fulfilled the classification criteria proposed by LeRoy and Medsger. Epidemiological, clinical, and laboratory data were collected according to a standard protocol. Mean age at diagnosis was 51.2 ± 15.1 years and mean age at disease onset was 44.9.0 ± 15.8 years. lcSSc was the most frequent subset (61.8%) followed by dcSSc (26.5%), ssSSc (7.5%), and preSSc (4%) subsets. Gender ratios were as follows: dcSSc subset, 200 women and 43 men (4.7:1); lcSSc subset, 503 women and 63 men (ratio 7.9:1), and ssSSc subset, 62 women and 7 men (ratio 8.9:1). Digital ulcers, interstitial lung disease (ILD), musculoeskeletal and esophageal involvement, and scleroderma renal crisis were more frequent in dcSSc than lcSSc and ssSSc subsets. The incidence of pulmonary arterial hypertension assessed by echocardiography was similar in all subsets but mean estimated systolic pulmonary arterial pressure was higher in ssSSc than in lcSSc subset (47.3 ± 23.9 mm Hg vs 39.6 ± 19.2 mm Hg; P < 0.03). Cardiac involvement was identified more frequently in ssSSc than in dcSSc and lcSSc subsets (49.3% vs 32.5% and 31.1%, respectively; P = 0.015 and P = 0.004 for both comparisons). Acro-osteolysis (8.2% vs 2.4%, P = 0.049), calcinosis (19.8% vs 7.2%, P < 0.05), and sicca syndrome (37.5% vs 14.5%, P < 0.0001) were more frequent in lcSSc than in ssSSc subsets. The frequency of clinical manifestations related to the presence of anticentromere antibodies or antitopoisomerase I antibodies was very similar to that identified in patients categorized to lcSSc and dcSSc, respectively. However, in multivariate studies, the ranking of the variables according to their overall explanatory effect on the model showed that the contributory effect of the antibody status was not greater than that of the clinical categorization into lcSSc and dcSSc for the majority of disease manifestations, but, in important manifestations, as ILD, absence of anticentromere antibodies was an independent predictor factor. CONCLUSIONS: The classification of SSc into dcSSc, lcSSc, and ssSSc subsets is the one that most closely reflects the natural history of the disease, as they presented clear clinical differences. The immunological profile helps to define important visceral alteration as ILD. Finally, to improve early diagnosis of SSc, patients with preSSc should be considered both to trace the true evolution of the disease and to define which patients could benefit from therapeutic measures able to prevent the appearance of visceral involvements.