The utility of initial procalcitonin and procalcitonin clearance for prediction of bacterial infection and outcome in critically ill patients with autoimmune diseases: a prospective observational study

Shi, Yan; Jiang, Peng; Hu, Xiaoyun; Wang, Yao

doi:10.1186/s12871-015-0122-9

Cited by 11 publications

(5 citation statements)

References 31 publications

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“…Shi et al reported that SOFA scores of a non-survivor group were significantly higher than those of a survivor group (8.9±2.1 versus 5.4±2.2) [ 14 ]). In another recent study by Kim et al, the mean SOFA score of the non-survivor group was reported as 5 (range, 3–8) which was significantly higher than that of the survivor group [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

The Preseptic Period and Inflammatory Markers in the Prediction of the Course of Sepsis

et al. 2018

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BackgroundThe aim of this study was to find a simple and easily accessible scoring system that could predict the development of sepsis in the preseptic period.Material/MethodsThe study included 161 patients with a basal sequential organ failure assessment (SOFA) value of 2 or more. The sepsis group (n=83) comprised patients with infection reported in culture results; the control group (n=78) comprised patients not showing evidence of infection in blood, urine, and phlegm cultures; samples were taken on three consecutive days.ResultsThe patients in both groups were divided into subgroups of non-survivor and survivor patients. The preseptic and septic SOFA score, neutrophil lymphocyte ratio (NLR), and procalcitonin (PRC) and lactate (Lac) values were determined to be statistically significantly higher in the sepsis group than in the control group. When the values related to sepsis were examined, a strong relationship was determined between sepsis and SOFA score, PRC values, and Lac values in the preseptic period and a weak relationship with NLR. In the model formed using multiple regression analysis with defined cutoff values for the preseptic and the septic periods, we found that in the septic period, a diagnosis of sepsis could be made with 83.8% accuracy. The diagnostic value of the same parameters evaluated in the preseptic period was 77.9%.ConclusionsThe diagnostic value of the combination of Lac, PRC, SOFA, and NLR were found to be similar in the preseptic period as the sepsis period; thus these combined values could safely be used for the early diagnosis of sepsis.

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Section: Discussionmentioning

confidence: 99%

The Preseptic Period and Inflammatory Markers in the Prediction of the Course of Sepsis

et al. 2018

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“…The SOFA score 14 is a scoring system used to determine sepsis-related organ dysfunction based on assessed levels of respiratory, cardiovascular, coagulation, renal, and nervous system dysfunction in patients. Shi et al 15 reported that the SOFA score of the non-survivor group was significantly higher than that of the survivor group (8.9 ± 2.1 vs 5.4 ± 2.2). In another recent study by Kim et al, 4 a mean SOFA score of 5 was found in the non-survivor group was 5, which was significantly higher than that in the survivor group.…”

Section: Discussionmentioning

confidence: 97%

Diagnostic and Prognostic Value of Interleukin-6 in Emergency Department Sepsis Patients

Chen

Zhang

et al. 2022

IDR

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Purpose The objective of this study was to explore the diagnostic and prognostic value of interleukin-6 (IL-6) in sepsis patients presenting to the emergency department. Patients and Methods A total of 128 patients who visited the emergency department of West Hospital of Beijing Chaoyang Hospital, affiliated to Capital Medical University, from November 2021 to February 2022 were subjected to this study. According to Sepsis-3.0 diagnostic criteria for sepsis, patients were divided into non-sepsis group (65 cases) and sepsis group (63 cases). Demographic data and clinical characteristics of the two patient groups were compared. Serum levels of biomarkers including IL-6, blood urea nitrogen (BUN), and lactic acid (Lac) were compared with Sequential Organ Failure Assessment (SOFA) and Glasgow Coma Scale (GCS) scores. Logistic regression was used to analyze independent risk factors and Receiver Operating Characteristic Curve (ROC) method was used to analyze the Area Under the Curve (AUC) to determine the diagnostic and prognostic value of markers. Results Compared with non-sepsis patients, levels of IL-6, PCT, CRP and BUN were significantly higher in sepsis patients (10.84 (4.41–27.01): 92.22 (21.53–201.12), 0.03 (0.01–0.1):0.49 (0.08–3.1), 8.3 (0.5–31.8):39.8(10.3–98.6), 7.01 (4.90–11.74):13.03 (6.93–25.99), all p = 0.001). IL-6, BUN and mean arterial pressure (MAP) were independent risk factors for sepsis diagnosis. AUC values of IL-6, BUN, MAP and IL-6+BUN+MAP were 0.764, 0.696, 0.685, and 0.848, respectively. Lactate, age and SOFA score were independent risk factors for 28-day mortality in sepsis patients. The AUC of Lac, age, SOFA score and Lac+age+SOFA score to predict 28-day death in sepsis patients was 0.679, 0.626, 0.747, and 0.819, respectively. Conclusion IL-6 is an independent predictor of sepsis diagnosis, and the combination of blood BUN and MAP has superior diagnostic performance. Lac, age, and SOFA score could effectively predict clinical outcomes in patients with sepsis.

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“…The efficacy of serial PCT concentrations has been evaluated as a prognostic biomarker of outcome in sepsis [28,29]. PCT clearance has also been extensively studied as a biomarker for monitoring sepsis outcomes; at this end various reports have demonstrated significant improvement in PCT clearance in survivors compared to nonsurvivors in both severe sepsis and septic shock patients [28,[30][31][32]. A large meta-analysis comprising 23 studies with 3944 patients concluded that PCT nonclearance was a prognostic factor of death in patients with sepsis [33].…”

Section: Procalcitonin (Pct)mentioning

confidence: 99%

Clinical Assays in Sepsis: Prognosis, Diagnosis, Outcomes, and the Genetic Basis of Sepsis

Vassiliou¹,

Orfanos²,

AnastasiaKotanidou³

2017

Sepsis

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Sepsis is the most widespread medical disorder of the intensive care unit (ICU) and the most common cause of death in hospitalized patients. Several endothelium-related molecules have been investigated as potential biomarkers for early diagnosis and/or prognosis of sepsis, providing different results depending on study designs. Therefore, it seems that we are still far from the right combination of sepsis markers to be used in clinical practice. It is more probable that a panel of diverse biomarkers will be more efficient in clinical practice. More recently, the potential use of genetic biomarkers for prognostic purposes started emerging for sepsis, in the form of genome-wide association studies. The successful use of modern molecular diagnostics could enable rapid identification of particularly susceptible or less susceptible individuals, leading to tailored therapeutic treatments.

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The utility of initial procalcitonin and procalcitonin clearance for prediction of bacterial infection and outcome in critically ill patients with autoimmune diseases: a prospective observational study

Cited by 11 publications

References 31 publications

The Preseptic Period and Inflammatory Markers in the Prediction of the Course of Sepsis

The Preseptic Period and Inflammatory Markers in the Prediction of the Course of Sepsis

Diagnostic and Prognostic Value of Interleukin-6 in Emergency Department Sepsis Patients

Clinical Assays in Sepsis: Prognosis, Diagnosis, Outcomes, and the Genetic Basis of Sepsis

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