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Larsen, Frederik Fruergaard; Petersen, J. Asger
European journal of internal medicine, November 2017, 2017-Nov, 2017-11-00, 20171101, Letnik: 45Journal Article
Sepsis is a prevalent condition among hospitalized patients that carries a high risk of morbidity and mortality. Rapid recognition of sepsis as the cause of deterioration is desirable, so effective treatment can be initiated rapidly. Traditionally, diagnosis was based on presence of two or more positive SIRS criteria due to infection. However, recently published sepsis-3 criteria put more emphasis on organ dysfunction caused by infection in the definition of sepsis. Regardless of this, no gold standard for diagnosis exist, and clinicians still rely on a number of traditional and novel biomarkers to discriminate between patients with and without infection, as the cause of deterioration. Narrative review of current literature. A number of the most promising biomarkers for diagnoses and prognostication of sepsis are presented. Procalcitonin, presepsin, CD64, suPAR, and sTREM-1 are the best evaluated biomarkers for diagnosis and prognostication of sepsis to date. All have limitations in differentiation between infected and non-infected patients with SIRS, and their future role in diagnosis needs to be evaluated. It is important to test utility, performance, and validity of future biomarkers before implementing them in routine clinical care. •Early diagnosis of sepsis is important to initiate effective treatment rapidly.•New sepsis-3 criteria define sepsis as organ dysfunction caused by infection.•Biomarkers can aid in diagnosis of infection and monitoring of organ dysfunction.•PCT, presepsin, CD64, suPAR, and sTREM-1 are the best evaluated markers.•Performance of biomarkers should be tested clinically before put to use.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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