Background: Host inflammation contributes to determine whether SARS-CoV-2 infection causes mild or life-threatening disease. Tools are needed for early risk assessment. Methods: We studied in 111 COVID-19 patients prospectively followed at a single reference Hospital fifty-three potential biomarkers including alarmins, cytokines, adipocytokines and growth factors, humoral innate immune and neuroendocrine molecules and regulators of iron metabolism. Biomarkers at hospital admission together with age, degree of hypoxia, neutrophil to lymphocyte ratio (NLR), lactate dehydrogenase (LDH), C-reactive protein (CRP) and creatinine were analysed within a data-driven approach to classify patients with respect to survival and ICU outcomes. Classification and regression tree (CART) models were used to identify prognostic biomarkers. Results: Among the fifty-three potential biomarkers, the classification tree analysis selected CXCL10 at hospital admission, in combination with NLR and time from onset, as the best predictor of ICU transfer (AUC [95% CI] = 0.8374 [0.6233–0.8435]), while it was selected alone to predict death (AUC [95% CI] = 0.7334 [0.7547–0.9201]). CXCL10 concentration abated in COVID-19 survivors after healing and discharge from the hospital. Conclusions: CXCL10 results from a data-driven analysis, that accounts for presence of confounding factors, as the most robust predictive biomarker of patient outcome in COVID-19. Graphic

Article: Biobanking for COVID-19 research - Panminerva Medica 2022 June;64(2):244-52 - Minerva Medica - Journals

Background In February 2020 the corona virus disease 2019 (COVID-19) infection started spreading throughout Italy, hitting the Lombardy region very hard. Despite the high diffusion, only a subset of patients developed severe COVID-19: around 25% of them developed acute kidney injury (AKI) and one-third of them died. Elderly patients and patients with high comorbidities were identified as being at higher risk of severe COVID-19. Methods Our prospective observational cohort study includes 392 consecutive patients hospitalized for COVID-19 in Milan (median age 67 years, 75% male). We evaluated the relationship between blood pressure at presentation, presence of AKI at Emergency Department admission and during hospitalization, and total in-hospital mortality (24%). Results Although 58% of our study patients reported a history of hypertension (HYP) (86% on treatment), 30% presented with low blood pressure levels. Only 5.5% were diagnosed with AKI on admission; 75% of hypertensive patients discontinued therapy during hospitalization (only 20% were on treatment at discharge). Gender and hypertension were strongly associated with AKI at admission (odds ratio 11). Blood pressure was inversely correlated with increased risk of AKI upon admission, regardless of the severity of respiratory distress. Age over 65, history of hypertension, and severity of respiratory distress were the main predictors of AKI, which developed in 34.7% of cases during hospitalization. AKI was associated with increased in-hospital mortality. Hypertension and low blood pressure at presentation were the main predictors of in-hospital mortality, together with age over 65, baseline pulmonary involvement, and severity of illness. Conclusions In patients hospitalized for COVID-19, hypertension and low blood pressure at presentation are important risk factors for AKI and mortality. Early reduction of antihypertensive therapy may improve outcomes in patients with SARS-CoV-2 infection.

Angina or objective myocardial ischaemia in the absence of obstructive coronary artery disease, referred to as ANOCA/INOCA, represents a prevalent and clinically significant condition associated with persistent symptoms, impaired quality of life, and increased healthcare utilisation. Contemporary evidence has reframed these syndromes as manifestations of coronary vascular dysfunction, encompassing structural and functional coronary microvascular dysfunction, epicardial vasospasm, microvascular spasm, and mixed phenotypes. In this context, multimodality imaging should not be conceptualised as sequential test accumulation, but rather as a structured, mechanism-based diagnostic strategy aimed at defining the underlying coronary endotype. The 2024 ESC Guidelines for chronic coronary syndromes endorse dedicated diagnostic pathways beyond a stenosis-centred paradigm and support the use of invasive coronary function testing (ICFT) in selected patients with persistent symptoms or inconclusive non-invasive findings. An integrated approach combining anatomical assessment (coronary computed tomography angiography or invasive angiography ± pressure-based indices), quantitative perfusion imaging (positron emission tomography or stress cardiovascular magnetic resonance), and ICFT (including coronary flow reserve, microvascular resistance indices, and acetylcholine provocation testing) enables comprehensive characterisation of coronary physiology and vasomotor function. This review proposes a pragmatic framework linking diagnostic findings to targeted therapy through a test-to-endotype-to-therapy paradigm. We summarise the strengths and limitations of each modality, discuss implementation challenges, and highlight the clinical relevance of endotype-driven management. By shifting from a stenosis-centred to a physiology- and mechanism-based approach, this strategy has the potential to close the longstanding gap between diagnosis and treatment in patients with ischaemia beyond obstructive coronary disease.