Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data.

BACKGROUND: Previous works seem to agree in the higher mortality of cancer patients with COVID-19. Identifying potential prognostic factors upon admission could help identify patients with a poor prognosis. METHODS: We aimed to explore the characteristics and evolution of COVID-19 cancer patients admitted to hospital in a multicenter international registry (HOPE COVID-19).Our primary objective is to define those characteristics that allow us to identify cancer patients with a worse prognosis (mortality within 30 days after the diagnosis of COVID-19). RESULTS: 5838 patients have been collected in this registry, of whom 770 had cancer among their antecedents. In hospital mortality reached 258 patients (33.51%). The median was 75 years (65-82). Regarding the distribution by sex, 34.55% of the patients (266/770) were women.The distribution by type of cancer: genitourinary 238/745 (31.95%), digestive 124/745 (16.54%), hematologic 95/745 (12.75%).In multivariate regression analysis, factors that are independently associated with mortality at admission are: renal impairment (OR 3.45, CI 97.5% 1.85-6.58), heart disease (2.32, 1.47-3.66), liver disease (4.69, 1.94-11.62), partial dependence (2.41, 1.34-4.33), total dependence (7.21, 2.60-21.82), fatigue (1.84, 1.16-2.93), arthromialgias (0.45, 0.26-0.78), SatO2 < 92% (4.58, 2.97-7.17), elevated LDH (2.61, 1.51-4.69) and abnormal decreased Blood Pressure (3.57, 1.81-7.15). Analitical parameters are also significant altered. CONCLUSION: In patients with cancer from the HOPE registry, 30-day mortality from any cause is high and is associated with easily identifiable clinical factors upon arrival at the hospital. Identifying these patients can help initiate more intensive treatments from the start and evaluate the prognosis of these patients.

ANTECEDENTES: Trabajos previos parecen coincidir en la mayor mortalidad de los pacientes con cáncer y COVID-19. La identificación de posibles factores pronósticos en el momento del ingreso podría ayudar a identificar a los pacientes con mal pronóstico. MÉTODOS: Nos propusimos explorar las características y la evolución de los pacientes con cáncer y COVID-19 ingresados en un registro internacional multicéntrico (HOPE COVID-19).Nuestro objetivo principal es definir aquellas características que nos permitan identificar a los pacientes con cáncer de peor pronóstico (mortalidad en los 30 días siguientes al diagnóstico de COVID-19). RESULTADOS: En este registro se ha recogido a 5.838 pacientes, de los cuales 770 tenían cáncer entre sus antecedentes. La mortalidad hospitalaria alcanzó a 258 pacientes (33,51%). La mediana fue de 75 años (65-82). En cuanto a la distribución por sexo, el 34,55% de los pacientes eran mujeres (266/770).La distribución por tipo de cáncer: genitourinario 238/745 (31,95%), digestivo 124/745 (16,54%) y hematológico 95/745 (12,75%).En el análisis de regresión multivariante, los factores que se asocian de forma independiente con la mortalidad al ingreso son: insuficiencia renal (OR 3,45; IC 97,5%: 1,85-6,58), cardiopatía (2,32; 1,47-3,66), hepatopatía (4,69; 1,94-11,62), dependencia parcial (2,41; 1,34-4,33), dependencia total (7,21; 2,60-21,82), fatiga (1,84, 1;16-2,93), artromialgias (0,45; 0,26-0,78), SatO2 < 92% (4,58; 2,97-7,17), LDH elevada (2,61; 1,51-4,69) y disminución anormal de la presión arterial (3,57; 1,81-7,15). Los parámetros analíticos también están significativamente alterados. CONCLUSIÓN: En los pacientes con cáncer del registro HOPE, la mortalidad a los 30 días por cualquier causa es elevada y se asocia a factores clínicos fácilmente identificables a su llegada al hospital. La identificación de estos pacientes puede ayudar a iniciar tratamientos más intensivos desde el principio y evaluar el pronóstico de estos pacientes.

Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data.

BACKGROUND: Previous works seem to agree in the higher mortality of cancer patients with COVID-19. Identifying potential prognostic factors upon admission could help identify patients with a poor prognosis. METHODS: We aimed to explore the characteristics and evolution of COVID-19 cancer patients admitted to hospital in a multicenter international registry (HOPE COVID-19). Our primary objective is to define those characteristics that allow us to identify cancer patients with a worse prognosis (mortality within 30 days after the diagnosis of COVID-19). RESULTS: 5838 patients have been collected in this registry, of whom 770 had cancer among their antecedents. In hospital mortality reached 258 patients (33.51%). The median was 75 years (65-82). Regarding the distribution by sex, 34.55% of the patients (266/770) were women. The distribution by type of cancer: genitourinary 238/745 (31.95%), digestive 124/745 (16.54%), hematologic 95/745 (12.75%). In multivariate regression analysis, factors that are independently associated with mortality at admission are: renal impairment (OR 3.45, CI 97.5% 1.85-6.58), heart disease (2.32, 1.47-3.66), liver disease (4.69, 1.94-11.62), partial dependence (2.41, 1.34-4.33), total dependence (7.21, 2.60-21.82), fatigue (1.84, 1.16-2.93), arthromialgias (0.45, 0.26-0.78), SatO2<92% (4.58, 2.97-7.17), elevated LDH (2.61, 1.51-4.69) and abnormal decreased Blood Pressure (3.57, 1.81-7.15). Analitical parameters are also significant altered. CONCLUSION: In patients with cancer from the HOPE registry, 30-day mortality from any cause is high and is associated with easily identifiable clinical factors upon arrival at the hospital. Identifying these patients can help initiate more intensive treatments from the start and evaluate the prognosis of these patients.

Change of concept about the regulation of angiotensin II-induced monocyte chemoattractant protein-1 production in human endothelial cells.

AIMS: Some intriguing clinical observations about the anti-inflammatory effects of angiotensin type 1 (AT1) receptor blockers and angiotensin converting enzyme inhibitors in cardiovascular patients brought us to study the signalling pathways which lead to angiotensin II (ANG)-induced monocyte chemoattractant protein-1 (MCP-1) production in human endothelial cells. METHODS: MCP-1 production in human umbilical vein endothelial cells (HUVECs) under treatments with ANG, AT1 and angiotensin type 2 (AT2) receptor blockers and pravastatin was measured by ELISA. The expression of AT1 and AT2 receptors and NADPH oxidase catalytic subunits (NOX 1-5) was analysed at mRNA and protein levels. Nuclear factor-kappa B (NF-κB) activation was studied by p65 subunit translocation to the cellular nucleus. Cell viability was tested by the MTT method. Nox4 subcellular distribution was analysed by subcellular protein fractionation and by immunoprecipitation followed by matrix-assisted laser desorption/ionization mass spectrometry analysis. RESULTS: ANG-induced MCP-1 production was mediated by AT2 receptor, but not AT1 receptor in HUVECs in culture, which in turn activated NF-κB, promoting p65 subunit translocation to the nucleus. Reactive oxygen species produced by NADPH oxidase participated in this activation, mainly by the Nox4 subunit, ubiquitously expressed in all the compartments of HUVECs. Pravastatin inhibited ANG-induced MCP-1 production. CONCLUSIONS: Our results support that ANG-induced MCP-1 production in HUVECs is mediated by AT2 instead AT1 receptor activation, which in turn activates NF-κB involving reactive oxygen species produced by the NADPH oxidase complex. Statins can also block ANG-induced MCP-1 production, probably by their inhibitory effects on NADPH oxidase activity.

Mehran contrast nephropathy risk score: Is it still useful 10 years later?

BACKGROUND: Nowadays, contrast-induced nephropathy (CIN) is the third cause of acquired acute renal impairment in hospital. CIN is related to increased in-hospital morbidity, mortality, costs of medical care, and long admissions. Because of this, we hypothesized it would be useful to determine the risk of CIN with scores such as the Mehran score. The aim of this study was to validate the Mehran score in a contemporary cohort of Spanish patients with acute coronary syndrome (ACS). METHODS: We assessed the calibration and discriminatory capacity of Mehran score to predict CIN in a cohort of 1520 patients with a definitive diagnosis of ACS and who underwent coronary angiography between March 2008 and June 2012. We excluded patients on chronic dialysis and those without data of contrast volume. The calibration of the model was assessed with the Hosmer-Lemeshow goodness-of-fit test and discriminatory capacity was assessed by C-statistic, which is equivalent to the area under the receiver-operating characteristic curve. RESULTS: From the total group, 118 patients (7.8%) developed CIN. They were older, with higher rates of diabetes (DM) and hypertension and worse renal function and anemia (p<0.001). The odds ratios for different score components in Mehran's population versus our study were similar except for DM, hypotension, and intra-aortic balloon pump (1.6%, 2.68%, 2.55% vs 0.9%, 1.89%, and 2.86%, respectively). Calibration and discriminatory capacity of Mehran score were excellent with a Hosmer-Lemeshow p=0.7, C-statistic value >0.8. CONCLUSIONS: Mehran risk score has been validated in our study as a good score for predicting CIN in patients with ACS who underwent coronary angiography. According to this, we support its use in patients hospitalized for ACS in order to identify the ones at risk, and to optimize CIN prophylactic therapy prior to and after catheterization.

[Advances made in the past year (2009) in the therapeutic approach to hypertensive heart disease, myocardial ischemia, and atrial fibrillation]. / Novedades en el último año en el planteamiento terapéutico de la cardiopatía hipertensiva, de la cardiopatía isquémica y de la fibrilación auricular.

Knowledge of cardiovascular disease is advancing at a vertiginous pace. Cardiology has always been one of the most scientifically dynamic specialties. Indeed, no other medical specialty presents such a large number of randomized studies aiming to determine the efficacy of distinct therapeutic interventions each year. Equally, cardiology is composed of various subspecialties ranging from the clinical management of types of heart disease that are frequently encountered in daily clinical practice, through the various diagnostic procedures (cardiovascular imaging), to the complex therapeutic techniques of interventional endovascular therapy. Many of the principal medical journals specialize in specific aspects of cardiovascular disease and some have even developed formats of superspecialization that allow knowledge on arrhythmology, interventional cardiology or cardiac imaging to be broadened. In addition, highly important international congresses on general and superspecialized cardiology serve as a window to display the main multicenter studies. The objective of all of the above is to allow the varied and enormous quantity of new or updated information on the diagnosis and treatment of cardiovascular disease to be presented to the scientific community. The ambitious aim of the present review is to discuss what we consider to be the main advances in the therapeutic management of three distinct branches of cardiology: hypertensive heart disease, myocardial ischemia and atrial fibrillation.