ABSTRACT
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.
ABSTRACT
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.
Subject(s)
COVID-19 , Neoplasms , Humans , Neoplasms/diagnosis , Neoplasms/therapy , Prognosis , Registries , SARS-CoV-2ABSTRACT
BACKGROUND: The aim of our study was to assess the outcomes of surgical treatment for severe tricuspid regurgitation according to whether cardiac surgery had been performed before the tricuspid valve intervention. METHODS: Between 1996 and 2013, 201 consecutive patients with severe tricuspid regurgitation underwent tricuspid surgery at our center. Patients were classified according to whether or not they had undergone previous cardiac surgery, which 33% of the sample had. Perioperative as well as long-term morbidity and mortality were analyzed. RESULTS: Mean patient age was 62.3 years. 32.8% underwent suture annuloplasty, 41.3% underwent ring annuloplasty, 15.4% received a bioprosthesis, and 10.4% received a mechanical prosthesis. There were no significant differences in perioperative mortality between the group that had not undergone previous cardiac surgery and the group that had (12.7% vs. 17.9%, respectively; p = 0.32). The long-term mortality rate (median follow-up time: 53 months) was 43.3%. Long-term survival curves showed no significant differences between the two groups (p = 0.884), and previous cardiac surgery was not a predictive factor for long-term mortality (hazard ratio = 1.211; p = 0.521). CONCLUSION: In a series of patients who underwent tricuspid valve surgery, no significant differences were observed in perioperative mortality or in long-term survival according to whether or not subjects had undergone previous cardiac surgery.
Subject(s)
Cardiac Surgical Procedures , Cardiac Valve Annuloplasty , Heart Valve Prosthesis Implantation , Tricuspid Valve Insufficiency , Humans , Retrospective Studies , Treatment Outcome , Tricuspid Valve/diagnostic imaging , Tricuspid Valve/surgery , Tricuspid Valve Insufficiency/diagnostic imaging , Tricuspid Valve Insufficiency/surgeryABSTRACT
INTRODUCTION: The aim of this study was to understand the prevalence of comorbidities and the usefulness of the PROFUND index for the prognostic stratification of patients with comorbidities in a hospital cardiology unit. PATIENTS AND METHODS: We consecutively analysed all patients hospitalized in 2012 in the department of cardiology. We recorded the comorbidities, length of stay, hospital mortality, Charlson indices and PROFUND indices. In the patients with comorbidities, we also recorded the readmissions and mortality during a 1-year follow-up. RESULTS: The study included 1,033 patients (mean age, 67±13.1 years; 35% women), 381 (36.9%) of whom had comorbidities, with a mean Charlson index of 6.4±1.7 and a mean PROFUND index of 2.5±2.5. Compared with the other patients, the patients with comorbidities were older (72 vs. 64 years, p<.001), had a higher mortality rate (2.9% vs. 1.1%, p=.046) and longer hospital stays (8±5.5 vs. 6±5.7 days, p<.001) and were more often admitted for heart failure (42.3% vs. 15.8%, p<.001). The PROFUND index was independently associated with overall mortality (hazard ratio [HR], 1.13; 95% CI: 1.01-1.27; p=.034) and with the presence of major adverse events during the 12-month follow-up (HR, 1.09; 95% CI: 1.01-1.18; p=.026). CONCLUSIONS: A high percentage of patients hospitalized in the department of cardiology had comorbidities. These patients had a higher prevalence of cardiovascular risk factors, longer stays and greater hospital mortality. The PROFUND index independently predicted mortality and adverse events during the follow-up.
