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2.
BMC Infect Dis ; 24(1): 496, 2024 May 16.
Artigo em Inglês | MEDLINE | ID: mdl-38755564

RESUMO

BACKGROUND: Early in the host-response to infection, neutrophils release calprotectin, triggering several immune signalling cascades. In acute infection management, identifying infected patients and stratifying these by risk of deterioration into sepsis, are crucial tasks. Recruiting a heterogenous population of patients with suspected infections from the emergency department, early in the care-path, the CASCADE trial aimed to evaluate the accuracy of blood calprotectin for detecting bacterial infections, estimating disease severity, and predicting clinical deterioration. METHODS: In a prospective, observational trial from February 2021 to August 2022, 395 patients (n = 194 clinically suspected infection; n = 201 controls) were enrolled. Blood samples were collected at enrolment. The accuracy of calprotectin to identify bacterial infections, and to predict and identify sepsis and mortality was analysed. These endpoints were determined by a panel of experts. RESULTS: The Area Under the Receiver Operating Characteristic (AUROC) of calprotectin for detecting bacterial infections was 0.90. For sepsis within 72 h, calprotectin's AUROC was 0.83. For 30-day mortality it was 0.78. In patients with diabetes, calprotectin had an AUROC of 0.94 for identifying bacterial infection. CONCLUSIONS: Calprotectin showed notable accuracy for all endpoints. Using calprotectin in the emergency department could improve diagnosis and management of severe infections, in combination with current biomarkers. CLINICAL TRIAL REGISTRATION NUMBER: DRKS00020521.


Assuntos
Biomarcadores , Complexo Antígeno L1 Leucocitário , Sepse , Humanos , Complexo Antígeno L1 Leucocitário/sangue , Sepse/sangue , Sepse/diagnóstico , Sepse/mortalidade , Biomarcadores/sangue , Estudos Prospectivos , Masculino , Feminino , Pessoa de Meia-Idade , Idoso , Infecções Bacterianas/sangue , Infecções Bacterianas/diagnóstico , Infecções Bacterianas/mortalidade , Curva ROC , Adulto , Idoso de 80 Anos ou mais , Serviço Hospitalar de Emergência
5.
Viruses ; 13(12)2021 12 07.
Artigo em Inglês | MEDLINE | ID: mdl-34960725

RESUMO

BACKGROUND: We evaluated how plasma proteomic signatures in patients with suspected COVID-19 can unravel the pathophysiology, and determine kinetics and clinical outcome of the infection. METHODS: Plasma samples from patients presenting to the emergency department (ED) with symptoms of COVID-19 were stratified into: (1) patients with suspected COVID-19 that was not confirmed (n = 44); (2) non-hospitalized patients with confirmed COVID-19 (n = 44); (3) hospitalized patients with confirmed COVID-19 (n = 53) with variable outcome; and (4) patients presenting to the ED with minor diseases unrelated to SARS-CoV-2 infection (n = 20). Besides standard of care diagnostics, 177 circulating proteins related to inflammation and cardiovascular disease were analyzed using proximity extension assay (PEA, Olink) technology. RESULTS: Comparative proteome analysis revealed 14 distinct proteins as highly associated with SARS-CoV-2 infection and 12 proteins with subsequent hospitalization (p < 0.001). ADM, IL-6, MCP-3, TRAIL-R2, and PD-L1 were each predictive for death (AUROC curve 0.80-0.87). The consistent increase of these markers, from hospital admission to intensive care and fatality, supported the concept that these proteins are of major clinical relevance. CONCLUSIONS: We identified distinct plasma proteins linked to the presence and course of COVID-19. These plasma proteomic findings may translate to a protein fingerprint, helping to assist clinical management decisions.


Assuntos
Biomarcadores/sangue , COVID-19/sangue , Plasma/metabolismo , Proteoma , Berlim , Proteínas Sanguíneas , Medicina de Emergência , Serviço Hospitalar de Emergência , Hospitalização , Humanos , Proteômica , SARS-CoV-2 , Tratamento Farmacológico da COVID-19
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