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Background: COVID-19 shows different clinical and pathophysiological stages over time. Theeffect of days elapsed from the onset of symptoms (DEOS) to hospitalization on COVID-19prognostic factors remains uncertain. We analyzed the impact on mortality of DEOS to hospital-ization and how other independent prognostic factors perform when taking this time elapsedinto account. Methods: This retrospective, nationwide cohort study, included patients with confirmed COVID-19 from February 20th and May 6th, 2020. The data was collected in a standardized online datacapture registry. Univariate and multivariate COX-regression were performed in the generalcohort and the final multivariate model was subjected to a sensitivity analysis in an earlypresenting (EP; < 5 DEOS) and late presenting (LP; ≥5 DEOS) group. Results: 7915 COVID-19 patients were included in the analysis, 2324 in the EP and 5591 in theLP group. DEOS to hospitalization was an independent prognostic factor of in-hospital mortalityin the multivariate Cox regression model along with other 9 variables. Each DEOS incrementaccounted for a 4.3% mortality risk reduction (HR 0.957; 95% CI 0.93---0.98). Regarding variationsin other mortality predictors in the sensitivity analysis, the Charlson Comorbidity Index onlyremained significant in the EP group while D-dimer only remained significant in the LP group. Conclusion: When caring for COVID-19 patients, DEOS to hospitalization should be consideredas their need for early hospitalization confers a higher risk of mortality. Different prognosticfactors vary over time and should be studied within a fixed timeframe of the disease.
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Background: There are few studies on patients with heart failure (HF) hospitalized for COVID-19. Our aim is to describe the clinical characteristics of patients with HF hospitalized for COVID-19 and identify risk factors for in-hospital mortality upon admission. Methods: We conducted a retrospective, multicenter study in patients with Hp hospitalized for COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry). A multivariate logistic regression analysis was performed to identify admission risk factors associated with in-hospital mortality. Results: A total of 1,718 patients were analyzed (56.5% men;median age 81.4 years). The overall case fatality rate was 47.6% (n=819). The independent risk factors at admission for in hospital mortality were: age (adjusted odds ratio [AOR]: 1.03;95% confidence interval [95%Cl]: 1.02-1.05;p<.001);severe dependence (AOR: 1.62;95%Cl: 1.19-2.20;p=.002);tachycardia (AOR: 1.01;95%Cl: 1.00-1.01;p=.004);and high C-reactive protein (AOR: 1.004;95%C1:1.002-1.004;p<.001), LDH (AOR: 1.001;95%Cl: 1.001-1.002;p<.001), and serum creatinine levels (AOR: 1.35;95%Cl: 1.18-1.54;p<.001). Conclusions: Patients with HF hospitalized for COVID-19 have a high in-hospital mortality rate. Some simple clinical and laboratory tests can help to identify patients with a worse prognosis. (C) 2021 Elsevier Espana, S.L.U. and Sociedad Espanola de Medicina Interna (SEMI). All rights reserved.
ABSTRACT
Antecedentes La COVID-19 muestra diferentes fases clínicas y fisiopatológicas a lo largo del tiempo. El efecto de los días transcurridos desde el comienzo de los síntomas (DTCS) hasta la hospitalización sobre los factores pronósticos de la COVID-19 sigue siendo incierto. Analizamos el impacto en la mortalidad de los DTCS hasta la hospitalización y cómo se comportan otros factores pronósticos independientes al tener en cuenta dicho tiempo transcurrido. Métodos En este estudio de cohortes nacional retrospectivo se incluyó a pacientes con COVID-19 confirmada entre el 20 de febrero y el 6 de mayo de 2020. Los datos se recopilaron en un registro normalizado de captura de datos en línea. Se realizó una regresión de Cox uni y multifactorial en la cohorte general y el modelo multifactorial final se sometió a un análisis de sensibilidad en un grupo de presentación precoz (PP) < 5 DTCS y otro de presentación tardía (PT) ≥ 5 DTCS). Resultados En el análisis se incluyó a 7.915 pacientes con COVID-19, 2.324 en el grupo de PP y 5.591 en el de PT. Los DTCS hasta la hospitalización fueron un factor pronóstico independiente de mortalidad intrahospitalaria en el modelo de regresión de Cox multifactorial junto con otras nueve variables. Cada incremento en un DTCS supuso una reducción del riesgo de mortalidad del 4,3% (RRI = 0,957;IC 95%, 0,93-0,98). En cuanto a las variaciones de otros factores predictivos de la mortalidad en el análisis de sensibilidad, únicamente el índice de comorbilidad de Charlson siguió siendo significativo en el grupo de PP, mientras que únicamente el dímero D lo siguió siendo en el grupo de PT. Conclusiones Al atender a pacientes con COVID-19 hay que tener en cuenta los DTCS hasta la hospitalización porque la necesidad de hospitalización precoz confiere un mayor riesgo de mortalidad. Los diferentes factores pronósticos varían con el tiempo y deberían estudiarse dentro de un marco temporal fijo de la enfermedad.
ABSTRACT
BACKGROUND: COVID-19 shows different clinical and pathophysiological stages over time. The effect of days elapsed from the onset of symptoms (DEOS) to hospitalization on COVID-19 prognostic factors remains uncertain. We analyzed the impact on mortality of DEOS to hospitalization and how other independent prognostic factors perform when taking this time elapsed into account. METHODS: This retrospective, nationwide cohort study, included patients with confirmed COVID-19 from February 20th and May 6th, 2020. The data was collected in a standardized online data capture registry. Univariate and multivariate COX-regression were performed in the general cohort and the final multivariate model was subjected to a sensitivity analysis in an early presenting (EP; <5 DEOS) and late presenting (LP; ≥5 DEOS) group. RESULTS: 7915 COVID-19 patients were included in the analysis, 2324 in the EP and 5591 in the LP group. DEOS to hospitalization was an independent prognostic factor of in-hospital mortality in the multivariate Cox regression model along with other 9 variables. Each DEOS increment accounted for a 4.3% mortality risk reduction (HR 0.957; 95% CI 0.93-0.98). Regarding variations in other mortality predictors in the sensitivity analysis, the Charlson Comorbidity Index only remained significant in the EP group while D-dimer only remained significant in the LP group. CONCLUSION: When caring for COVID-19 patients, DEOS to hospitalization should be considered as their need for early hospitalization confers a higher risk of mortality. Different prognostic factors vary over time and should be studied within a fixed timeframe of the disease.
Subject(s)
COVID-19 , Humans , Cohort Studies , Retrospective Studies , Hospital Mortality , SARS-CoV-2 , Comorbidity , Hospitalization , Risk FactorsABSTRACT
INTRODUCTION: The COVID-19 vaccines have effectiveness above 90% for avoiding hospitalization. However, 5% of vaccinated patients require hospitalization with a mortality ratio between 15% to 24%, similar to the one reported for unvaccinated hospitalized patients. These vaccinated patients belong to the most sensitive groups with a high comorbidity burden. The similarity in the mortality ratio between vaccinated and unvaccinated patients has been used to make claims against the vaccine's efficacy. A thoughtful analysis, taking into account the comorbidities of each group, on how vaccination protects patients with moderate or severe illness, is missing. METHOD(S): We perform a multi-continental retrospective cohort study in 111 hospitals in Spain and 37 in Argentina. We included hospitalized patients who received oxygen therapy older than 18 years with COVID-19. To assess the relation between COVID-19 vaccine status and death, we performed a logistic regression adjusting by confounders. Also, as a sensitivity analysis, we perform a propensityscore matching. Additionally, we studied the Population Attributable Risk (PAR). RESULT(S): Between January 2020 and May 2022, we included 21,479 patients, 717 (3 3%) were vaccinated. Hospitalized vaccinated patients with oxygen therapy had a higher proportion of comorbidities. The overall mortality in vaccinated patients was 20 9%, and 19 5% in unvaccinated patients. The crude Odds Ratio was 1 07 (IC95% 0 89-1 29;p=0 41), while the adjusted was 0 73 (IC95% 0 56-0 95;p=0 02) in the complete case analysis (6,352 patients) and 0 77 (CI 95% 0 54-0 97;p=0 02) in the complete dataset after multiple imputations. These observations were robust to the sensitivity analysis. The adjusted PAR reduction was 4 3% (95%CI 1%-5%). Therefore, as the death proportion in unvaccinated patients was 19 6% (95%CI 19%-20 1%), if they were vaccinated the expected death proportion would have been 15 3% (95%CI 12 9%-18%;p< 0 01). CONCLUSION(S): Even with the high protection of the COVID-19 vaccine, patients with a high burden of comorbidities will be hospitalized in future pandemic waves. In this study, we observed that the COVID-19 vaccines significantly reduce the probability of death even when lung inflammation has already been initiated, with moderate or severe COVID-19 disease.
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As the coronavirus-2019 disease (COVID-19) pandemic, caused by the infection with severe acute respiratory syndrome (SARS-CoV-2) coronavirus type 2, has progressed, persistent COVID-19 syndrome is an increasingly recognized problem on which a significant volume of medical literature is developing. Symptoms may be persistent or appear, after an asymptomatic period, weeks or months after the initial infection. The clinical picture is as markedly heterogeneous and multisystemic as in the acute phase, so multidisciplinary management is required. In addition, their appearance is not related to the severity of the initial infection, so they can affect both mild patients, even asymptomatic, and seriously ill patients who have required hospitalization. Although it can affect people of any age, it is more common in middle-aged women. The sequelae can generate a high impact on the quality of life, and in the work and social environment. The objective of this paper is to review persistent COVID-19 syndrome, to know its clinical manifestations and the strategies for the management and follow-up of these patients.
ABSTRACT
As the coronavirus-2019 disease (COVID-19) pandemic, caused by the infection with severe acute respiratory syndrome (SARS-CoV-2) coronavirus type 2, has progressed, persistent COVID-19 syndrome is an increasingly recognized problem on which a significant volume of medical literature is developing. Symptoms may be persistent or appear, after an asymptomatic period, weeks or months after the initial infection. The clinical picture is as markedly heterogeneous and multisystemic as in the acute phase, so multidisciplinary management is required. In addition, their appearance is not related to the severity of the initial infection, so they can affect both mild patients, even asymptomatic, and seriously ill patients who have required hospitalization. Although it can affect people of any age, it is more common in middle-aged women. The sequelae can generate a high impact on the quality of life, and in the work and social environment. The objective of this paper is to review persistent COVID-19 syndrome, to know its clinical manifestations and the strategies for the management and follow-up of these patients.
ABSTRACT
As the coronavirus-2019 disease (COVID-19) pandemic, caused by the infection with severe acute respiratory syndrome (SARS-CoV-2) coronavirus type 2, has progressed, persistent COVID-19 syndrome is an increasingly recognized problem on which a significant volume of medical literature is developing. Symptoms may be persistent or appear, after an asymptomatic period, weeks or months after the initial infection. The clinical picture is as markedly heterogeneous and multisystemic as in the acute phase, so multidisciplinary management is required. In addition, their appearance is not related to the severity of the initial infection, so they can affect both mild patients, even asymptomatic, and seriously ill patients who have required hospitalization. Although it can affect people of any age, it is more common in middle-aged women. The sequelae can generate a high impact on the quality of life, and in the work and social environment. The objective of this paper is to review persistent COVID-19 syndrome, to know its clinical manifestations and the strategies for the management and follow-up of these patients.
Subject(s)
COVID-19 , COVID-19/complications , Disease Progression , Female , Humans , Middle Aged , Quality of Life , SARS-CoV-2 , SyndromeABSTRACT
<h4>Background</h4> There are few studies on patients with heart failure (HF) hospitalized for COVID-19. Our aim is to describe the clinical characteristics of patients with HF hospitalized for COVID-19 and identify risk factors for in-hospital mortality upon admission. <h4>Methods</h4> We conducted a retrospective, multicenter study in patients with HF hospitalized for COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry). A multivariate logistic regression analysis was performed to identify admission factors associated with in-hospital mortality. <h4>Results</h4> A total of 1718 patients were analyzed (56.5% men;median age 81.4 years). The overall case fatality rate was 47.6% (n = 819). The independent risk factors at admission for in-hospital mortality were: age (adjusted odds ratio [AOR]: 1.03;95% confidence interval [95%CI]: 1.02–1.05;p < .001);severe dependence (AOR: 1.62;95%CI: 1.19–2.20;p = .002);tachycardia (AOR: 1.01;95%CI: 1.00–1.01;p = .004);and high C-reactive protein (AOR: 1.004;95%CI:1.002−1.004;p < .001), LDH (AOR: 1.001;95%CI: 1.001−1.002;p < .001), and serum creatinine levels (AOR: 1.35;95%CI: 1.18−1.54;p < .001). <h4>Conclusions</h4> Patients with HF hospitalized for COVID-19 have a high in-hospital mortality rate. Some simple clinical and laboratory tests can help to identify patients with a worse prognosis.
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BACKGROUND: There are few studies on patients with heart failure (HF) hospitalized for COVID-19. Our aim is to describe the clinical characteristics of patients with HF hospitalized for COVID-19 and identify risk factors for in-hospital mortality upon admission. METHODS: We conducted a retrospective, multicenter study in patients with HF hospitalized for COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry). A multivariate logistic regression analysis was performed to identify admission factors associated with in-hospital mortality. RESULTS: A total of 1718 patients were analyzed (56.5% men; median age 81.4 years). The overall case fatality rate was 47.6% (n = 819). The independent risk factors at admission for in-hospital mortality were: age (adjusted odds ratio [AOR]: 1.03; 95% confidence interval [95%CI]: 1.02-1.05; p < 0.001); severe dependence (AOR: 1.62; 95%CI: 1.19-2.20; p = 0.002); tachycardia (AOR: 1.01; 95%CI: 1.00-1.01; p = 0.004); and high C-reactive protein (AOR: 1.004; 95%CI:1.002-1.004; p < 0.001), LDH (AOR: 1.001; 95%CI: 1.001-1.002; p < 0.001), and serum creatinine levels (AOR: 1.35; 95%CI: 1.18-1.54; p < 0.001). CONCLUSIONS: Patients with HF hospitalized for COVID-19 have a high in-hospital mortality rate. Some simple clinical and laboratory tests can help to identify patients with a worse prognosis.
Subject(s)
COVID-19 , Heart Failure , Aged, 80 and over , COVID-19/complications , Female , Heart Failure/epidemiology , Hospital Mortality , Hospitalization , Humans , Male , Retrospective Studies , Risk Factors , SARS-CoV-2 , Spain/epidemiologyABSTRACT
BACKGROUND: This work aims to identify and validate a risk scale for admission to intensive care units (ICU) in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: We created a derivation rule and a validation rule for ICU admission using data from a national registry of a cohort of patients with confirmed SARS-CoV-2 infection who were admitted between March and August 2020 (N = 16,298). We analyzed the available demographic, clinical, radiological, and laboratory variables recorded at hospital admission. We evaluated the performance of the risk score by estimating the area under the receiver operating characteristic curve (AUROC). Using the ß coefficients of the regression model, we developed a score (0-100 points) associated with ICU admission. RESULTS: The mean age of the patients was 67 years; 57% were men. A total of 1420 (8.7%) patients were admitted to the ICU. The variables independently associated with ICU admission were age, dyspnea, Charlson Comorbidity Index score, neutrophil-to-lymphocyte ratio, lactate dehydrogenase levels, and presence of diffuse infiltrates on a chest X-ray. The model showed an AUROC of 0.780 (CI: 0.763-0.797) in the derivation cohort and an AUROC of 0.734 (CI: 0.708-0.761) in the validation cohort. A score of greater than 75 points was associated with a more than 30% probability of ICU admission while a score of less than 50 points reduced the likelihood of ICU admission to 15%. CONCLUSION: A simple prediction score was a useful tool for forecasting the probability of ICU admission with a high degree of precision.
Subject(s)
COVID-19 , Aged , Hospitalization , Humans , Intensive Care Units , Male , Retrospective Studies , Risk Factors , SARS-CoV-2ABSTRACT
Background: There are few studies on patients with heart failure (HF) hospitalized for COVID-19. Our aim is to describe the clinical characteristics of patients with HF hospitalized for COVID-19 and identify risk factors for in-hospital mortality upon admission. Methods: We conducted a retrospective, multicenter study in patients with HF hospitalized for COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry). A multivariate logistic regression analysis was performed to identify admission risk factors associated with in-hospital mortality. Results: A total of 1,718 patients were analyzed (56.5% men; median age 81.4 years). The overall case fatality rate was 47.6% (n=819). The independent risk factors at admission for in-hospital mortality were: age (adjusted odds ratio [AOR]: 1.03; 95% confidence interval [95%CI]: 1.02-1.05; p< .001); severe dependence (AOR: 1.62; 95%CI: 1.19-2.20; p=.002); tachycardia (AOR: 1.01; 95%CI: 1.00-1.01; p=.004); and high C-reactive protein (AOR: 1.004; 95%CI:1.002-1.004; p< .001), LDH (AOR: 1.001; 95%CI: 1.001-1.002; p< .001), and serum creatinine levels (AOR: 1.35; 95%CI: 1.18-1.54; p< .001). Conclusions: Patients with HF hospitalized for COVID-19 have a high in-hospital mortality rate. Some simple clinical and laboratory tests can help to identify patients with a worse prognosis.
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Objective: It is unclear to which extent the higher mortality associated with hypertension in the coronavirus disease (COVID-19) is due to its increased prevalence among older patients or to speci fic mechanisms. The main objective of the study is to analyze whether HT represents an independent risk factor for death as a hard endpoint in patients hospitalized with SARS-CoV-2 in Spain Design and method: Cross-sectional, observational, retrospective multicenter study, analyzing 12226 patients who required hospital admission in 150 Spanish centers included in the nationwide SEMI-COVID-19 Network. We compared the clinical characteristics of survivors versus non-survivors Results: The mean age of the study population was 67.5 ± 16.1 years, 42.6% were women. Overall, 2630 (21.5%) subjects died. The most common comorbidity was hypertension (50.9%) followed by diabetes (19.1%), and atrial fibrillation (11.2%). Multivariate analysis showed that after adjusting for gender (males OR: 1.5, p = 0.0001), age tertiles (second and third tertiles, OR: 2.0 and 4.7, p = 0.0001), and Charlson Comorbidity Index scores (second and third tertiles OR: 4.7 and 8.1, p = 0.0001), hypertension was signi ficantly predictive of allcause mortality when this comorbidity was treated with angiotensin-converting enzyme inhibitors (ACEIs) (OR: 1.6, p = 0.002) or other than renin-angiotensinaldosterone blockers (OR: 1.3, p = 0.001) or angiotensin II receptor blockers (ARBs) (OR: 1.2, p = 0.035) Conclusions: The preexisting condition of hypertension had an independent prognostic value for all-cause mortality in patients with COVID-19 who required hospitalization. ARBs showed a lower risk of lethality in hypertensive patients than other antihypertensive drugs.
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Background Spain has been one of the countries most affected by the COVID-19 pandemic. Objective To create a registry of patients with COVID-19 hospitalized in Spain, in order to improve our knowledge of the clinical, diagnostic, therapeutic, and prognostic aspects of this disease. Design A multicentre retrospective cohort study, including consecutive patients hospitalized with confirmed COVID-19 throughout Spain. Epidemiological and clinical data, additional tests at admission and at seven days, treatments administered, and progress at 30 days of hospitalization were collected from electronic medical records. Results Up to June 30th 2020, 15,111 patients from 150 hospitals were included. Their median age was 69.4 years (range: 18-102 years) and 57.2% were male. Prevalences of hypertension, dyslipidemia, and diabetes mellitus were 50.9%, 39.7%, and 19.4%, respectively. The most frequent symptoms were fever (84.2%) and cough (73.5%). High values of ferritin (73.5%), lactate dehydrogenase (73.9%), and D-dimer (63.8%), as well as lymphopenia (52.8%), were frequent. The most used antiviral drugs were hydroxychloroquine (85.6%) and lopinavir/ritonavir (61.4%). 33.1% developed respiratory distress. Overall mortality rate was 21.0%, with a marked increase with age (50-59 years: 4.7%, 60-69 years: 10.5%, 70-79 years: 26.9%, ≥80 years: 46.0%). Conclusion The SEMI-COVID-19 Network provides data on the clinical characteristics of patients with COVID-19 hospitalized in Spain. Patients with COVID-19 hospitalized in Spain are mostly severe cases, as one in three patients developed respiratory distress and one in five patients died. These findings confirm a close relationship between advanced age and mortality. Resumen Antecedentes España ha sido uno de los países más afectados por la pandemia de COVID-19. Objetivo Crear un registro de pacientes hospitalizados en España por COVID-19 para mejorar nuestro conocimiento sobre los aspectos clínicos, diagnósticos, terapéuticos y pronósticos de esta enfermedad. Métodos Estudio de cohorte retrospectiva, multicéntrico, que incluye pacientes consecutivos hospitalizados con COVID-19 confirmada en toda España. Se obtuvieron los datos epidemiológicos y clínicos, las pruebas complementarias al ingreso y a los siete días de la admisión, los tratamientos administrados y la evolución a los 30 días de hospitalización de las historias clínicas electrónicas. Resultados Hasta el 30 de junio de 2020 se incluyeron 15.111 pacientes de 150 hospitales. Su mediana de edad fue 69,4 años (rango: 18-102 años) y el 57,2% eran hombres. Las prevalencias de hipertensión, dislipemia y diabetes mellitus fueron 50,9%, 39,7% y 19,4%, respectivamente. Los síntomas más frecuentes fueron fiebre (84,2%) y tos (73,5%). Fueron frecuentes los valores elevados de ferritina (73,5%), lactato deshidrogenasa (73,9%) y dímero D (63,8%), así como la linfopenia (52,8%). Los fármacos antivirales más utilizados fueron la hidroxicloroquina (85,6%) y el lopinavir/ritonavir (61,4%). El 33,1% desarrolló distrés respiratorio. La tasa de mortalidad global fue del 21,0%, con un marcado incremento con la edad (50-59 años: 4,7%, 60-69 años: 10,5%, 70-79 años: 26,9%, ≥80 años: 46%). Conclusiones El Registro SEMI-COVID-19 proporciona información sobre las características clínicas de los pacientes con COVID-19 hospitalizados en España. Los pacientes con COVID-19 hospitalizados en España son en su mayoría casos graves, ya que uno de cada tres pacientes desarrolló distrés respiratorio y uno de cada cinco pacientes falleció. Nuestros datos confirman una estrecha relación entre la edad avanzada y la mortalidad.
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BACKGROUND: Spain has been one of the countries most affected by the COVID-19 pandemic. OBJECTIVE: To create a registry of patients with COVID-19 hospitalized in Spain, in order to improve our knowledge of the clinical, diagnostic, therapeutic, and prognostic aspects of this disease. METHODS: A multicentre retrospective cohort study, including consecutive patients hospitalized with confirmed COVID-19 throughout Spain. Epidemiological and clinical data, additional tests at admission and at seven days, treatments administered, and progress at 30 days of hospitalization were collected from electronic medical records. RESULTS: Up to June 30th 2020, 15,111 patients from 150 hospitals were included. Their median age was 69.4 years (range: 18-102 years) and 57.2% were male. Prevalences of hypertension, dyslipidemia, and diabetes mellitus were 50.9%, 39.7%, and 19.4%, respectively. The most frequent symptoms were fever (84.2%) and cough (73.5%). High values of ferritin (73.5%), lactate dehydrogenase (73.9%), and D-dimer (63.8%), as well as lymphopenia (52.8%), were frequent. The most used antiviral drugs were hydroxychloroquine (85.6%) and lopinavir/ritonavir (61.4%); 33.1% developed respiratory distress. Overall mortality rate was 21.0%, with a marked increase with age (50-59 years: 4.7%, 60-69 years: 10.5%, 70-79 years: 26.9%, ≥80 years: 46.0%). CONCLUSIONS: The SEMI-COVID-19 Network provides data on the clinical characteristics of patients with COVID-19 hospitalized in Spain. Patients with COVID-19 hospitalized in Spain are mostly severe cases, as one in three patients developed respiratory distress and one in five patients died. These findings confirm a close relationship between advanced age and mortality.
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Resumen La eclosión de la pandemia por COVID-19 supone un reto de enormes dimensiones y, dada la gran presencia de diabetes mellitus tipo2 en la población actual, hace que sea un problema de salud en el que centrar nuestros esfuerzos para dar la mejor respuesta a nuestros pacientes, que son más vulnerables al desarrollo de la infección y candidatos a presentar cuadros clínicos más graves. Este documento pretende abordar la relación entre la infección por COVID-19 y la DM2. Para ello analizaremos brevemente qué datos epidemiológicos sustentan esta asociación y, posteriormente, se profundizará en los mecanismos fisiopatológicos que podrían conectar ambas enfermedades. The emergence of the COVID-19 pandemic represents an enormous challenge. Given the considerable presence of type 2 diabetes mellitus in the current population, the pandemic is a health issue that requires an effort to provide better responses to our patients who are more vulnerable to the onset of infection and who are candidates for presenting more severe symptoms. This document attempts to address the relationship between COVID-19 infection and type 2 diabetes mellitus. To this end, we will briefly analyse whether the epidemiological data support this association and, subsequently, go in depth on the pathophysiological mechanisms that might connect the two diseases.