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Chromogranin A plasma levels predict mortality in COVID-19

Articolo
Data di Pubblicazione:
2022
Abstract:
BackgroundChromogranin A (CgA) and its fragment vasostatin I (VS-I) are secreted in the blood by endocrine/neuroendocrine cells and regulate stress responses. Their involvement in Coronavirus 2019 disease (COVID-19) has not been investigated. MethodsCgA and VS-I plasma concentrations were measured at hospital admission from March to May 2020 in 190 patients. 40 age- and sex-matched healthy volunteers served as controls. CgA and VS-I levels relationship with demographics, comorbidities and disease severity was assessed through Mann Whitney U test or Spearman correlation test. Cox regression analysis and Kaplan Meier survival curves were performed to investigate the impact of the CgA and VS-I levels on in-hospital mortality. ResultsMedian CgA and VS-I levels were higher in patients than in healthy controls (CgA: 0.558 nM [interquartile range, IQR 0.358-1.046] vs 0.368 nM [IQR 0.288-0.490] respectively, p = 0.0017; VS-I: 0.357 nM [IQR 0.196-0.465] vs 0.144 nM [0.144-0.156] respectively, p<0.0001). Concentration of CgA, but not of VS-I, significantly increased in patients who died (n = 47) than in survivors (n = 143) (median 0.948 nM [IQR 0.514-1.754] vs 0.507 nM [IQR 0.343-0.785], p = 0.00026). Levels of CgA were independent predictors of in-hospital mortality (hazard ratio 1.28 [95% confidence interval 1.077-1.522], p = 0.005) when adjusted for age, number of comorbidities, respiratory insufficiency degree, C-reactive protein levels and time from symptom onset to sampling. Kaplan Meier curves revealed a significantly increased mortality rate in patients with CgA levels above 0.558 nM (median value, log rank test, p = 0.001). ConclusionPlasma CgA levels increase in COVID-19 patients and represent an early independent predictor of mortality.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Chromogranin A; Humans; Kaplan-Meier Estimate; Prognosis; Proportional Hazards Models; COVID-19
Elenco autori:
De Lorenzo, Rebecca; Sciorati, Clara; Ramirez, Giuseppe A; Colombo, Barbara; Lorè, Nicola I; Capobianco, Annalisa; Tresoldi, Cristina; Cirillo, Daniela M; Ciceri, Fabio; Corti, Angelo; Rovere-Querini, Patrizia; Manfredi, Angelo A
Autori di Ateneo:
CICERI FABIO
MANFREDI ANGELO ANDREA M. A.
ROVERE QUERINI PATRIZIA
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/133898
Pubblicato in:
PLOS ONE
Journal
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