Usefulness of Preoperative Determination of Serum MR-ProAdrenomedullin Levels to Predict the Need for Postoperative Organ Support in Abdominal Oncological Surgery.

The need for postoperative organic support is associated with patient outcomes. Biomarkers may be useful for detecting patients at risk. MR-ProADM is a novel biomarker with an interesting profile that can be used in this context. The main objective of this study was to verify whether there was an association between the preoperative serum levels of MR-ProADM and the need for organic support after elective abdominal cancer surgery, and to determine the preoperative MR-ProADM value that predicts the need for postoperative organic support. This was a multicenter prospective observational study conducted by four tertiary hospitals in Spain between 2017 and 2018. Plasma samples were collected for the quantification of MR-ProADM from adults who underwent major abdominal surgery during 2017-2018. The primary outcome was the need for organic support in the first seven postoperative days and its association with the preoperative levels of MR-ProADM, and the secondary outcome was the preoperative levels of MR-ProADM in the study population. This study included 370 patients with a mean age of 67.4 ± 12.9 years. Seventeen percent (63 patients) required some postoperative organic support measures in the first week. The mean preoperative value of MR-ProADM in patients who required organic support was 1.16 ± 1.15 nmol/L. The AUC-ROC of the preoperative MR-ProADM values associated with the need for organic support was 0.67 (95% CI: 0.59-0.75). The preoperative MR-ProADM value, which showed the best compromise in sensitivity and specificity for predicting the need for organic support, was 0.70 nmol/L. The negative predictive value was 91%. A multivariate analysis confirmed that a preoperative level of MR-ProADM ≥ 0.70 nmol/L is an independent factor associated with risk of postoperative organic support (OR 2, 6). Elevated preoperative MR-ProADM levels are associated with the need for postoperative organic support. Therefore, MR-ProADM may be a useful biomarker for perioperative risk assessment.

Biomarkers as Prognostic Predictors and Therapeutic Guide in Critically Ill Patients: Clinical Evidence.

A biomarker is a molecule that can be measured in a biological sample in an objective, systematic, and precise way, whose levels indicate whether a process is normal or pathological. Knowing the most important biomarkers and their characteristics is the key to precision medicine in intensive and perioperative care. Biomarkers can be used to diagnose, in assessment of disease severity, to stratify risk, to predict and guide clinical decisions, and to guide treatments and response to them. In this review, we will analyze what characteristics a biomarker should have and how to ensure its usefulness, and we will review the biomarkers that in our opinion can make their knowledge more useful to the reader in their clinical practice, with a future perspective. These biomarkers, in our opinion, are lactate, C-Reactive Protein, Troponins T and I, Brain Natriuretic Peptides, Procalcitonin, MR-ProAdrenomedullin and BioAdrenomedullin, Neutrophil/lymphocyte ratio and lymphopenia, Proenkephalin, NefroCheck, Neutrophil gelatinase-associated lipocalin (NGAL), Interleukin 6, Urokinase-type soluble plasminogen activator receptor (suPAR), Presepsin, Pancreatic Stone Protein (PSP), and Dipeptidyl peptidase 3 (DPP3). Finally, we propose an approach to the perioperative evaluation of high-risk patients and critically ill patients in the Intensive Care Unit (ICU) based on biomarkers.

Increased number of pulmonary megakaryocytes in COVID-19 patients with diffuse alveolar damage: an autopsy study with clinical correlation and review of the literature.

Pulmonary megakaryocytes participate in the pathogenesis of lung damage, particularly in acute lung injury. Although megakaryocytes are not mentioned as a characteristic histologic finding associated to pulmonary injury, a few studies reveal that their number is increased in diffuse alveolar damage (DAD). In this autopsy study, we have observed a relevant number of pulmonary megakaryocytes in COVID-19 patients dying with acute lung injury (7.61 ± 5.59 megakaryocytes per 25 high-power fields vs. 1.14 ± 0.86 for the control group, p < 0.05). We analyzed samples of 18 patients, most of whom died after prolonged disease and use of mechanical ventilation. Most patients showed advanced DAD and abnormal coagulation parameters with high levels of fibrinogen, D-dimers, and variable thrombocytopenia. For comparison, pulmonary samples from a group of 14 non-COVID-19 patients dying with DAD were reviewed. They showed similar pulmonary histopathologic findings and an increase in the number of megakaryocytes (4 ± 4.17 vs. 1.14 ± 0.86 for the control group, p < 0.05). Megakaryocyte count in the COVID-19 group was greater but did not reach statistical significance (7.61 ± 5.59 vs. 4 ± 4.17, p = 0.063). Regardless of the cause, pulmonary megakaryocytes are increased in patients with DAD. Their high number seen in COVID-19 patients suggests a relation with the thrombotic events so often seen these patients. Since the lung is considered an active site of megakaryopoiesis, a prothrombotic status leading to platelet activation, aggregation and consumption may trigger a compensatory pulmonary response.

Potenciales biomarcadores predictores de mortalidad en pacientes COVID-19 en el Servicio de Urgencias / Potential biomarkers predictors of mortality in COVID-19 patients in the Emergency Department

OBJETIVO: Identificar qué biomarcadores realizados en la primera analítica de urgencias ayudan a estratificar según riesgo de mortalidad a pacientes COVID 19. MÉTODO: Estudio observacional descriptivo y transversal realizado con datos recogidos de los pacientes con sospecha de COVID-19 en el Servicio de Urgencias del 24 de febrero al 16 de marzo del 2020. Se realizó el estudio univariante y multivariante para encontrar los marcadores independientes de mortalidad y calcular el riesgo mediante la construcción de una escala de gravedad. RESULTADOS: Se incluyeron 163 pacientes de los que fallecieron 33 y 29 de ellos resultaron positivos para la prueba PCR COVID-19. Obtuvimos como posibles factores para conformar el score de riesgo de mortalidad edad>75 años ((OR ajustada=12,347, IC95%: 4,138-36,845 p = 0.001), leucocitos totales> 11.000 cel/mm3 (OR ajustada=2,649, IC95%: 0,879-7,981 p = 0,083), glucosa> 126 mg/dL (OR ajustada=3,716, IC95%: 1,247-11,074 p = 0,018) y creatinina>1,1 mg/dL (OR ajustada= 2,566, IC95%: 0,889-7,403, p = 0,081). Este score se denominó COVEB (COVID, Edad, perfil Básico analítico) con un AUC 0,874 (IC95%: 0,816-0,933, p < 0.001; punto de corte= 1 (sensibilidad= 89,66% (IC95%: 72,6%-97,8%), especificidad= 75,59% (IC95%: 67,2%-82,8%). Un score < 1 posee un valor predictivo negativo = 100% (IC95%: 93,51%-100%) y un valor predictivo positivo = 18,59% (IC95%: 12,82%-25,59%). CONCLUSIONES: Las escalas clínicas de gravedad, los biomarcadores de función renal, los parámetros del recuento leucocitario, el ratio neutrófilos totales/linfocitos y procalcitonina son factores de riesgo tempranos de mortalidad. Destacan las variables edad, glucosa, creatinina y leucocitos totales como mejores predictores de mortalidad. Un score COVEB< 1 indica con un 100% de probabilidad, que el paciente con sospecha de COVID-19 no va a fallecer en los próximos 30 días

OBJECTIVE: Identify which biomarkers performed in the first emergency analysis help to stratify COVID-19 patients according to mortality risk. METHOD: Observational, descriptive and cross-sectional study performed with data collected from patients with suspected COVID-19 in the Emergency Department from February 24 to March 16, 2020. The univariate and multivariate study was performed to find independent mortality markers and calculate risk by building a severity score. RESULTS: A total of 163 patients were included, of whom 33 died and 29 of them were positive for the COVID-19 PCR test. We obtained as possible factors to conform the Mortality Risk Score age> 75 years ((adjusted OR = 12,347, 95% CI: 4,138-36,845 p = 0.001), total leukocytes> 11,000 cells / mm3 (adjusted OR = 2,649, 95% CI: 0.879-7.981 p = 0.083), glucose> 126 mg / dL (adjusted OR = 3.716, 95% CI: 1.247-11.074 p = 0.018) and creatinine> 1.1 mg / dL (adjusted OR = 2.566, 95% CI: 0.889- 7.403, p = 0.081) This score was called COVEB (COVID, Age, Basic analytical profile) with an AUC 0.874 (95% CI: 0.816-0.933, p <0.001; Cut-off point = 1 (sensitivity = 89.66 % (95% CI: 72.6% -97.8%), specificity = 75.59% (95% CI: 67.2% -82.8%). A score <1 has a negative predictive value = 100% (95% CI: 93.51% -100%) and a positive predictive value = 18.59% (95% CI: 12.82% -25.59%). CONCLUSIONS: Clinical severity scales, kidney function biomarkers, white blood cell count parameters, the total neutrophils / total lymphocytes ratio and procalcitonin are early risk factors for mortality. The variables age, glucose, creatinine and total leukocytes stand out as the best predictors of mortality. A COVEB score <1 indicates with a 100% probability that the patient with suspected COVID-19 will not die in the next 30 days

Documento de consenso para la implantación y desarrollo del Código Sepsis en la Comunidad de Madrid / Consensus document for sepsis code implementation and development in the Community of Madrid

Se presenta aquí el documento de consenso para la implantación y desarrollo del Código Sepsis en la Comunidad de Madrid, cuya redacción se completó en abril de 2017. Este documento ha sido adoptado por la Consejería de Sanidad madrileña como base de trabajo para la puesta en marcha del Código Sepsis, tanto en el ámbito hospitalario (hospitales de agudos y de media y larga estancia) como en Atención Primaria y los Servicios de Emergencia Extrahospitalaria. Se publica ahora sin modificaciones con respecto a la versión original, añadiendo únicamente las referencias bibliográficas más significativas. El documento se estructura en cuatro partes: introducción, detección y valoración iniciales, tratamiento inicial y organización asistencial. En las partes segunda a cuarta se proponen 25 recomendaciones, consensuadas por los autores después de varias reuniones presenciales y una extensa discusión "online". Se incluyen nueve tablas que pretenden servir de guía práctica para la activación y aplicación del código sepsis. Tanto el contenido de las recomendaciones como su redacción formal se han realizado teniendo en cuenta su aplicabilidad en todos los ámbitos a los que se dirigen, que cuentan con recursos y características estructurales y funcionales muy dispares, por lo que deliberadamente se ha huido de un mayor grado de concreción: el objetivo no es que el código sepsis se organice y se aplique de forma idéntica en todos ellos, sino que los recursos sanitarios trabajen de forma coordinada alineados en la misma dirección

The consensus paper for the implementation and development of the sepsis code, finished in April 2017 is presented here. It was adopted by the Regional Office of Health as a working document for the implementation of the sepsis code in the Community of Madrid, both in the hospital setting (acute, middle and long-stay hospitals) and in Primary Care and Out-of-Hospital Emergency Services. It is now published without changes with respect to the original version, having only added the most significant bibliographical references. The document is divided into four parts: introduction, initial detection and assessment, early therapy and organizational recommendations. In the second to fourth sections, 25 statements or proposals have been included, agreed upon by the authors after several face-to-face meetings and an extensive «online» discussion. The annex includes nine tables that are intended as a practical guide to the activation of the sepsis code. Both the content of the recommendations and their formal writing have been made taking into account their applicability in all areas to which they are directed, which may have very different structural and functional characteristics and features, so that we have deliberately avoided a greater degree of concretion: the objective is not that the sepsis code is organized and applied identically in all of them, but that the health resources work in a coordinated manner aligned in the same direction

High levels of preoperative and postoperative N terminal B-type natriuretic propeptide influence mortality and cardiovascular complications after noncardiac surgery: A prospective cohort study.

BACKGROUND: Major noncardiac surgery is associated with a 5% incidence of serious cardiovascular complications and with a 1 to 2% probability of death from cardiac causes. Over the last few decades, researchers have assessed the perioperative predictive power of several risk indices. Research is currently focused on the evaluation of biomarkers. OBJECTIVES: The objective was to determine the incidence of high serum levels of N terminal B-type natriuretic propeptide (NT-proBNP) before and after surgery in adults undergoing elective major noncardiac procedures and to evaluate its relationship with mortality and cardiovascular complications occurring up to 30 days after surgery. DESIGN: Prospective cohort study. SETTING: Enrolment was undertaken at a university hospital from October 2011 to July 2013. PATIENTS: A total of 304 adults with cardiovascular risk factors who underwent noncardiac elective surgery. MAIN OUTCOME MEASURES: The relationship between preoperative and postoperative NT-proBNP serum levels and the emergence of cardiovascular complications, including all-cause mortality, during the first 30 days after surgery. RESULTS: The incidence of cardiovascular complications was 7.8% (n = 25), and the mortality rate was 4.3% (n = 13). Higher-than-normal NT-proBNP serum levels were found before surgery in 48.4% (n = 147) and after surgery in 50.7% (n = 154) of patients. The variables found to be independent predictors of cardiovascular complications, including all-cause 30-day mortality, were levels of NT-proBNP more than 300 pg ml before surgery and levels more than 1000 pg ml both before and after surgery. CONCLUSION: High levels of preoperative and postoperative NT-proBNP are predictors of cardiovascular complications, including all-cause mortality, during the first 30 days after noncardiac surgery in adults with cardiovascular risk factors.