Circulating MR-proADM levels, as an indicator of endothelial dysfunction, for early risk stratification of mid-term mortality in COVID-19 patients.

OBJECTIVES: Thromboinflammation, resulting from a complex interaction between thrombocytopathy, coagulopathy, and endotheliopathy, contributes to increased mortality in COVID-19 patients. MR-proADM, as a surrogate of adrenomedullin system disruption, leading to endothelial damage, has been reported as a promising biomarker for short-term prognosis. We evaluated the role of MR-proADM in the mid-term mortality in COVID-19 patients. METHODS: A prospective, observational study enrolling COVID-19 patients from August to October 2020. A blood sample for laboratory test analysis was drawn on arrival in the emergency department. The primary endpoint was 90-day mortality. The area under the curve (AUC) and Cox regression analyses were used to assess discriminatory ability and association with the endpoint. RESULTS: A total of 359 patients were enrolled, and the 90-day mortality rate was 8.9%. ROC AUC for MR-proADM predicting 90-day mortality was 0.832. An optimal cutoff of 0.80 nmol/L showed a sensitivity of 96.9% and a specificity of 58.4%, with a negative predictive value of 99.5%. Circulating MR-proADM levels (inverse transformed), after adjusting by a propensity score including eleven potential confounders, were an independent predictor of 90-day mortality (HR: 0.162 [95% CI: 0.043-0.480]) CONCLUSIONS: Our data confirm that MR-proADM has a role in the mid-term prognosis of COVID-19 patients and might assist physicians with risk stratification.

Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin.

BACKGROUND: Mid-Regional pro-Adrenomedullin (MR-proADM) is an inflammatory biomarker that improves the prognostic assessment of patients with sepsis, septic shock and organ failure. Previous studies of MR-proADM have primarily focussed on bacterial infections. A limited number of small and monocentric studies have examined MR-proADM as a prognostic factor in patients infected with SARS-CoV-2, however there is need for multicenter validation. An evaluation of its utility in predicting need for hospitalisation in viral infections was also performed. METHODS: An observational retrospective analysis of 1861 patients, with SARS-CoV-2 confirmed by RT-qPCR, from 10 hospitals across Europe was performed. Biomarkers, taken upon presentation to Emergency Departments (ED), clinical scores, patient demographics and outcomes were collected. Multiclass random forest classifier models were generated as well as calculation of area under the curve analysis. The primary endpoint was hospital admission with and without death. RESULTS: Patients suitable for safe discharge from Emergency Departments could be identified through an MR-proADM value of ≤ 1.02 nmol/L in combination with a CRP (C-Reactive Protein) of ≤ 20.2 mg/L and age ≤ 64, or in combination with a SOFA (Sequential Organ Failure Assessment) score < 2 if MR-proADM was ≤ 0.83 nmol/L regardless of age. Those at an increased risk of mortality could be identified upon presentation to secondary care with an MR-proADM value of > 0.85 nmol/L, in combination with a SOFA score ≥ 2 and LDH > 720 U/L, or in combination with a CRP > 29.26 mg/L and age ≤ 64, when MR-proADM was > 1.02 nmol/L. CONCLUSIONS: This international study suggests that for patients presenting to the ED with confirmed SARS-CoV-2 infection, MR-proADM in combination with age and CRP or with the patient's SOFA score could identify patients at low risk where outpatient treatment may be safe.

El impacto de la pandemia de COVID-19 sobre la salud. Informe SESPAS 2022 Health impact of COVID pandemic. SESPAS Report 2022

Objetivo Presentar, a los 22 meses de que la Organización Mundial de la Salud declarara como pandemia la infección global por SARS-CoV-2 el 11 de marzo de 2020, el impacto hasta el momento de la pandemia en términos de salud física y mental. Método Se han revisado resultados procedentes de metaanálisis y revisiones sistemáticas, citándose para algún aspecto específico de interés artículos individuales. La información nacional procede de la Red Nacional de Vigilancia Epidemiológica (RENAVE). Resultados Hasta finales de octubre se habían producido más de 250 millones de infecciones y 5 millones de muertes. En España se han notificado 4,7 millones de infecciones, aunque la cifra real es superior a los 7 millones. Se ha reducido la esperanza de vida, con efectos especialmente dramáticos en grupos de población con comorbilidad y de edad avanzada. Se constata un empeoramiento de la salud mental general. Es previsible que algunos colectivos, como los/las profesionales sanitarios/as, en su mayoría mujeres, y trabajadores/as de primera línea, tengan un mayor riesgo de desarrollar patologías de salud mental en el futuro. La pandemia y las medidas de control han tenido otras consecuencias indeseables, como la disminución de la actividad asistencial, el aumento del sedentarismo y el aumento de la violencia de género. Conclusiones Son necesarios estudios longitudinales para determinar la magnitud de las consecuencias de la propia infección y de las medidas de control y las actuaciones necesarias.

[Health impact of COVID pandemic. SESPAS Report 2022]. / El impacto de la pandemia de COVID-19 sobre la salud. Informe SESPAS 2022.

OBJECTIVE: The World Health Organization declared the global SARS-CoV-2 infection a pandemic on March 11, 2020. The objective of this paper is to present its impact in terms of physical and mental health 22 months later. METHOD: We have reviewed results from published meta-analysis and systematic reviews, and some individual articles on specific aspects of special interest. National information on infection comes for the Red Nacional de Vigilancia Epidemiológica (RENAVE). RESULTS: Up to the end of October, more than 250 million infections and 5 million deaths had been reported globally. In Spain, 4.7 million infections have been documented although the real figure might be above 7 million. The pandemic has reduced life expectancy, and its effects have been especially dramatic in people with comorbidities and the elderly. There is a worsening of mental health in the general population. It is foreseeable that some groups, such as health professionals, mostly women, and front-line workers, may have a greater risk of developing mental health pathologies. The pandemic and the control measures have had other undesirable consequences such as a decrease in healthcare utilization, an increase in sedentary lifestyle or an increase in gender violence. In addition to its immediate effect on morbidity and mortality, the control measures have damaged the overall health status of the global population. CONCLUSIONS: Longitudinal studies are necessary to determine the mid and long consequences of the pandemic and the control measures, and to identify and evaluate effective health interventions.

Circulating suPAR associates with severity and in-hospital progression of COVID-19.

BACKGROUND: COVID-19 disease progression is characterized by hyperinflammation and risk stratification may aid in early aggressive treatment and advanced planning. The aim of this study was to assess whether suPAR and other markers measured at hospital admission can predict the severity of COVID-19. METHODS: The primary outcome measure in this international, multi-centre, prospective, observational study with adult patients hospitalized primarily for COVID-19 was the association of WHO Clinical Progression Scale (WHO-CPS) with suPAR, ferritin, CRP, albumin, LDH, eGFR, age, procalcitonin, and interleukin-6. Admission plasma suPAR levels were determined using the suPARnostic® ELISA and suPARnostic® Turbilatex assays. RESULTS: Seven hundred and sixty-seven patients, 440 (57.4%) males and 327 (42.6%) females, were included with a median age of 64 years. Log-suPAR levels significantly correlated with WHO-CPS score, with each doubling of suPAR increasing the score by one point (p < .001). All the other markers were also correlated with WHO-CPS score. Admission suPAR levels were significantly lower in survivors (7.10 vs. 9.63, 95% CI 1.47-3.59, p < .001). A linear model (SALGA) including suPAR, serum albumin, serum lactate dehydrogenase, eGFR, and age can best estimate the WHO-CPS score and survival. Combining all five parameters in the SALGA model can improve the accuracy of discrimination with an AUC of 0.80 (95% CI: 0.759-0.836). CONCLUSIONS: suPAR levels significantly correlated with WHO-CPS score, with each doubling of suPAR increasing the score by one point. The SALGA model may serve as a quick tool for predicting disease severity and survival at admission.