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The prognostic value of procalcitonin, C-reactive protein and cholesterol in patients with an infection and multiple organ dysfunction

BACKGROUND: To establish the prognostic value of procalcitonin, C-reactive protein and cholesterol levels for mortality in patients with an infection and multiple organ dysfunction. METHODS: A prospective case-control study was performed, including 67 patients admitted to the intensive care unit wit...

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Detalles Bibliográficos
Autores principales: Tachyla, Siarhei Anatolevich, Marochkov, Alexey Viktorovich, Lipnitski, Artur Leonidovich, Nikiforova, Yulia Gennadevna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Anesthesiologists 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453892/
https://www.ncbi.nlm.nih.gov/pubmed/28580081
http://dx.doi.org/10.4097/kjae.2017.70.3.305
Descripción
Sumario:BACKGROUND: To establish the prognostic value of procalcitonin, C-reactive protein and cholesterol levels for mortality in patients with an infection and multiple organ dysfunction. METHODS: A prospective case-control study was performed, including 67 patients admitted to the intensive care unit with an infection and multiple organ dysfunction in whom cholesterol, procalcitonin, and C-reactive protein levels were measured on admission and during the course of treatment. RESULTS: The associations between in-hospital mortality and procalcitonin, C-reactive protein, and cholesterol levels were analyzed. Logistic regression analysis showed that cholesterol (odds ratio [OR], 1.858; 95% CI, 1.170–2.949; P = 0.009) and C-reactive protein (OR, 4.408; 95% CI, 2.019–9.624; P < 0.001) levels were predictors of mortality. A receiver operating characteristic curve analysis yielded an area under the curve (AUC) of 0.774 and 95% CI of 0.693–0.855 (P < 0.001) for C-reactive protein, an AUC of 0.66 and 95% CI of 0.535–0.784 (P = 0.019) for procalcitonin, and an AUC of 0.654 and 95% CI of 0.593–0.715 (P < 0.001) for cholesterol as predictors of mortality. When combined with the bioscore system for mortality, these markers yielded an AUC of 0.845 and 95% CI of 0.770–0.921 (P < 0.001), with sensitivity of 89.1% and specificity of 83.1%. CONCLUSIONS: The combination of procalcitonin, C-reactive protein, and cholesterol levels in a single scoring system yielded high predictive value for mortality.