Impacto de la pandemia por COVID-19 sobre un programa de consulta electrónica universal (e-consulta) entre médicos de atención primaria y cardiólogos Impact of the COVID-19 pandemic above a universal electronic consultation program (e-consultation) between general practitioners and cardiologists

Introducción y objetivos: Los programas de telemedicina entre clínico y paciente se han desarrollado con fuerza durante la pandemia de enfermedad por COVID-19, pero no hay datos de experiencias entre clínicos. Nuestro objetivo es analizar el impacto de la pandemia por COVID-19 en la actividad y resultados en salud de un programa de consulta electrónica universal (e-consulta) para todas las derivaciones de pacientes entre médicos de atención primaria y el Servicio de Cardiología de nuestra área. Métodos: Analizamos mediante regresión logística 25121 pacientes con al menos una e-consulta entre 2018 y 2021 realizada con el Servicio de Cardiología de nuestra área sanitaria. También se realizó el análisis de regresión logística del impacto de la pandemia por COVID-19 sobre la resolución de la e-consulta y tiempo de espera de la atención, hospitalizaciones y mortalidad, tomando como referencia las consultas realizadas durante 2018. Resultados: Observamos que una menor demora en la atención y resolución de la e-consulta (sin necesidad de atención presencial) se asociaba a un mejor pronóstico. Los períodos de pandemia COVID-19 presentaron similares resultados a los del 2018. Conclusiones: Los resultados de nuestro estudio muestran una significativa reducción de las derivaciones a través de e-consulta durante el primer año de la pandemia por COVID-19 con recuperación posterior de la demanda asistencial sin que los períodos de pandemia se asociasen con peores resultados en salud. La reducción del tiempo de demora de resolución de la e-consulta y el grupo sin necesidad de consulta presencial se asociaron a un mejor pronóstico.

European Society of Cardiology guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 1-epidemiology, pathophysiology, and diagnosis.

AIMS: Since its emergence in early 2020, the novel severe acute respiratory syndrome coronavirus 2 causing coronavirus disease 2019 (COVID-19) has reached pandemic levels, and there have been repeated outbreaks across the globe. The aim of this two-part series is to provide practical knowledge and guidance to aid clinicians in the diagnosis and management of cardiovascular disease (CVD) in association with COVID-19. METHODS AND RESULTS: A narrative literature review of the available evidence has been performed, and the resulting information has been organized into two parts. The first, reported here, focuses on the epidemiology, pathophysiology, and diagnosis of cardiovascular (CV) conditions that may be manifest in patients with COVID-19. The second part, which will follow in a later edition of the journal, addresses the topics of care pathways, treatment, and follow-up of CV conditions in patients with COVID-19. CONCLUSION: This comprehensive review is not a formal guideline but rather a document that provides a summary of current knowledge and guidance to practicing clinicians managing patients with CVD and COVID-19. The recommendations are mainly the result of observations and personal experience from healthcare providers. Therefore, the information provided here may be subject to change with increasing knowledge, evidence from prospective studies, and changes in the pandemic. Likewise, the guidance provided in the document should not interfere with recommendations provided by local and national healthcare authorities.

Interinstitutional clinical practice guidelines for the treatment of acute myocardial infarction.

INTRODUCTION: Mexico has the highest 30-day mortality due to acute myocardial infarction (AMI), which constitutes one of the main causes of mortality in the country: 28 % versus 7.5 % on average for the Organization for Economic Co-operation and Development member countries. OBJECTIVE: To establish critical pathways and essential interinstitutional pharmacological strategies for the care of patients with AMI in Mexico, regardless of their socioeconomic status. METHOD: A group of experts in AMI diagnosis and treatment, representatives of the main public health institutions in Mexico, as well as the Mexican cardiology societies, the Mexican Red Cross and representatives of the Spanish Society of Cardiology, were brought together in order to optimize strategies based on the best existing evidence. RESULTS: An interinstitutional clinical practice guideline was designed for early diagnosis and timely treatment of AMI with ST-segment elevation, following the clinical horizon of the disease, with the proposal of algorithms that improve the prognosis of patients who attend the emergency services due to an AMI. CONCLUSION: With these clinical practice guidelines, the group of experts proposes to universalize AMI diagnosis and treatment, regardless of patient socioeconomic status. INTRODUCCIÓN: México tiene la mortalidad más alta a 30 días por infarto agudo de miocardio (IAM), el cual constituye una de las principales causas de mortalidad en el país: 28 % versus 7.5 % del promedio de los países de la Organización para la Cooperación y el Desarrollo Económicos. OBJETIVO: Establecer las rutas críticas y las estrategias farmacológicas esenciales interinstitucionales para la atención de los pacientes con IAM en México, independientemente de su condición socioeconómica. MÉTODO: Se reunió a un grupo de expertos en diagnóstico y tratamiento de IAM, representantes de las principales instituciones públicas de salud de México, así como las sociedades cardiológicas mexicanas, Cruz Roja Mexicana y representantes de la Sociedad Española de Cardiología con la finalidad de optimizar las estrategias con base en la mejor evidencia existente. RESULTADOS: Se diseñó una guía de práctica clínica interinstitucional para el diagnóstico temprano y tratamiento oportuno del IAM con elevación del segmento ST, siguiendo el horizonte clínico de la enfermedad, con la propuesta de algoritmos que mejoren el pronóstico de los pacientes que acuden por IAM a los servicios de urgencias. CONCLUSIÓN: Con la presente guía práctica, el grupo de expertos propone universalizar el diagnóstico y tratamiento en el IAM, independientemente de la condición socioeconómica del paciente.

The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients.

Deterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to establish laboratory predictors of mortality in COVID-19 disease which can help to identify high risk patients. All patients admitted to hospital due to Covid-19 disease were included. Laboratory biomarkers that contributed with significant predictive value for predicting mortality to the clinical model were included. Cut-off points were established, and finally a risk score was built. 893 patients were included. Median age was 68.2 ± 15.2 years. 87(9.7%) were admitted to Intensive Care Unit (ICU) and 72(8.1%) needed mechanical ventilation support. 171(19.1%) patients died. A Covid-19 Lab score ranging from 0 to 30 points was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included haemoglobin, erythrocytes, leukocytes, neutrophils, lymphocytes, creatinine, C-reactive protein, interleukin-6, procalcitonin, lactate dehydrogenase (LDH), and D-dimer. Three groups were established. Low mortality risk group under 12 points, 12 to 18 were included as moderate risk, and high risk group were those with 19 or more points. Low risk group as reference, moderate and high patients showed mortality OR 4.75(CI95% 2.60-8.68) and 23.86(CI 95% 13.61-41.84), respectively. C-statistic was 0-85(0.82-0.88) and Hosmer-Lemeshow p-value 0.63. Covid-19 Lab score can very easily predict mortality in patients at any moment during admission secondary to SARS-CoV2 infection. It is a simple and dynamic score, and it can be very easily replicated. It could help physicians to identify high risk patients to foresee clinical deterioration.

Development and validation of a clinical score to estimate progression to severe or critical state in COVID-19 pneumonia hospitalized patients.

The prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to establish a predictive model of disease progression to facilitate early decision-making. A retrospective study was performed of patients admitted with COVID-19 pneumonia, classified as severe (admission to the intensive care unit, mechanic invasive ventilation, or death) or non-severe. A predictive model based on clinical, laboratory, and radiological parameters was built. The probability of progression to severe disease was estimated by logistic regression analysis. Calibration and discrimination (receiver operating characteristics curves and AUC) were assessed to determine model performance. During the study period 1152 patients presented with SARS-CoV-2 infection, of whom 229 (19.9%) were admitted for pneumonia. During hospitalization, 51 (22.3%) progressed to severe disease, of whom 26 required ICU care (11.4); 17 (7.4%) underwent invasive mechanical ventilation, and 32 (14%) died of any cause. Five predictors determined within 24 h of admission were identified: Diabetes, Age, Lymphocyte count, SaO2, and pH (DALSH score). The prediction model showed a good clinical performance, including discrimination (AUC 0.87 CI 0.81, 0.92) and calibration (Brier score = 0.11). In total, 0%, 12%, and 50% of patients with severity risk scores ≤ 5%, 6-25%, and > 25% exhibited disease progression, respectively. A risk score based on five factors predicts disease progression and facilitates early decision-making according to prognosis.