<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jccm-2020-0004_s_006_w2aab2b8c39b1b7b1aab1c15b1Aa"><h3>Aims</h3><p>To evaluate the kinetics of inflammatory biomarkers in septic patients in order to identify the most reliable predictor of unfavorable outcome.</p></sec><sec id="j_jccm-2020-0004_s_007_w2aab2b8c39b1b7b1aab1c15b2Aa"><h3>Methods</h3><p>A prospective analysis of septic patients was performed. Median levels of neutrophil/lymphocyte count ratio, fibrinogen, C-reactive protein and procalcitonin were dynamically assessed and comparatively analyzed.</p></sec><sec id="j_jccm-2020-0004_s_008_w2aab2b8c39b1b7b1aab1c15b3Aa"><h3>Results</h3><p>Seventy-seven patients were included. Descendent kinetic patterns were registered for all biomarkers, except C-reactive protein. At 24 hours, neutrophil/lymphocyte count ratio significantly decreased in 42.85% of cases, procalcitonin in 37.33%, C-reactive protein in 16.12% and fibrinogen in 1.58% of cases. At 72 hours, procalcitonin decreased to one-half in 70% of cases and neutrophil/lymphocyte count ratio in 67.53% of cases.</p></sec><sec id="j_jccm-2020-0004_s_009_w2aab2b8c39b1b7b1aab1c15b4Aa"><h3>Conclusions</h3><p>Neutrophil/lymphocyte count ratio and procalcitonin significantly decreased in the first 72 hours, while C-reactive protein increased in the first 24 hours. The proportions of patients with major decrease of baseline values were higher for neutrophil/lymphocyte count ratio and procalcitonin.</p></sec></abstract>

AimsTo evaluate the kinetics of inflammatory biomarkers in septic patients in order to identify the most reliable predictor of unfavorable outcome.MethodsA prospective analysis of septic patients was performed. Median levels of neutrophil/lymphocyte count ratio, fibrinogen, C-reactive protein and procalcitonin were dynamically assessed and comparatively analyzed.ResultsSeventy-seven patients were included. Descendent kinetic patterns were registered for all biomarkers, except C-reactive protein. At 24 hours, neutrophil/lymphocyte count ratio significantly decreased in 42.85% of cases, procalcitonin in 37.33%, C-reactive protein in 16.12% and fibrinogen in 1.58% of cases. At 72 hours, procalcitonin decreased to one-half in 70% of cases and neutrophil/lymphocyte count ratio in 67.53% of cases.ConclusionsNeutrophil/lymphocyte count ratio and procalcitonin significantly decreased in the first 72 hours, while C-reactive protein increased in the first 24 hours. The proportions of patients with major decrease of baseline values were higher for neutrophil/lymphocyte count ratio and procalcitonin.

The Dynamical Assessment of Inflammatory Biomarkers in Predicting the Outcome of Septic Patients and the Response to Antimicrobial Therapy

The Journal of Critical Care Medicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

AimsTo evaluate the kinetics of inflammatory biomarkers in septic patients in order to identify the most reliable predictor of unfavorable outcome.MethodsA...

The Dynamical Assessment of Inflammatory Biomarkers in Predicting the Outcome of Septic Patients and the Response to Antimicrobial Therapy

Article Category: Research Article

Online veröffentlicht: 31. Jan. 2020

Seitenbereich: 25 - 31

Eingereicht: 02. Nov. 2019

Akzeptiert: 29. Jan. 2020

DOI: https://doi.org/10.2478/jccm-2020-0004

Schlüsselwörter
sepsis, biomarkers of inflammation, kinetic patterns, prognosis, therapy response

© 2020 Alina Orfanu, Victoria Aramă, Cristina Popescu, Cătălin Tilişcan, Adrian Streinu-Cercel, Ştefan Sorin Aramă, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The Dynamical Assessment of Inflammatory Biomarkers in Predicting the Outcome of Septic Patients and the Response to Antimicrobial Therapy

Article Category: Research Article

Online veröffentlicht: 31. Jan. 2020

Seitenbereich: 25 - 31

Eingereicht: 02. Nov. 2019

Akzeptiert: 29. Jan. 2020

DOI: https://doi.org/10.2478/jccm-2020-0004

Schlüsselwörtersepsis, biomarkers of inflammation, kinetic patterns, prognosis, therapy response

© 2020 Alina Orfanu, Victoria Aramă, Cristina Popescu, Cătălin Tilişcan, Adrian Streinu-Cercel, Ştefan Sorin Aramă, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
sepsis, biomarkers of inflammation, kinetic patterns, prognosis, therapy response