Dataset Information

Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.

ABSTRACT:

Background

Numerous biomarkers have been proposed for diagnosis, therapeutic, and prognosis in sepsis. Previous evaluations of the value of biomarkers for predicting mortality due to this life-threatening condition fail to address the complexity of this condition and the risk of bias associated with prognostic studies. We evaluate the predictive performance of four of these biomarkers in the prognosis of mortality through a methodologically sound evaluation.

Methods

We conducted a systematic review a systematic review and meta-analysis to determine, in critically ill adults with sepsis, whether procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6), and presepsin (sCD14) are independent prognostic factors for mortality. We searched MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials up to March 2023. Only Phase-2 confirmatory prognostic factor studies among critically ill septic adults were included. Random effects meta-analyses pooled the prognostic association estimates.

Results

We included 60 studies (15,681 patients) with 99 biomarker assessments. Quality of the statistical analysis and reporting domains using the QUIPS tool showed high risk of bias in > 60% assessments. The biomarker measurement as a continuous variable in models adjusted by key covariates (age and severity score) for predicting mortality at 28-30 days showed a null or near to null association for basal PCT (pooled OR = 0.99, 95% CI = 0.99-1.003), CRP (OR = 1.01, 95% CI = 0.87 to 1.17), and IL-6 (OR = 1.02, 95% CI = 1.01-1.03) and sCD14 (pooled HR = 1.003, 95% CI = 1.000 to 1.006). Additional meta-analyses accounting for other prognostic covariates had similarly null findings.

Conclusion

Baseline, isolated measurement of PCT, CRP, IL-6, and sCD14 has not been shown to help predict mortality in critically ill patients with sepsis. The role of these biomarkers should be evaluated in new studies where the patient selection would be standardized and the measurement of biomarker results.

Trial registration

PROSPERO (CRD42019128790).

SUBMITTER: Molano-Franco D

PROVIDER: S-EPMC10399020 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Publications

Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.

Molano-Franco Daniel D Arevalo-Rodriguez Ingrid I Muriel Alfonso A Del Campo-Albendea Laura L Fernández-García Silvia S Alvarez-Méndez Ana A Simancas-Racines Daniel D Viteri Andres A Sanchez Guillermo G Fernandez-Felix Borja B Lopez-Alcalde Jesus J Solà Ivan I Osorio Dimelza D Khan Khalid Saeed KS Nuvials Xavier X Ferrer Ricard R Zamora Javier J

Diagnostic and prognostic research 20230803 1

<h4>Background</h4>Numerous biomarkers have been proposed for diagnosis, therapeutic, and prognosis in sepsis. Previous evaluations of the value of biomarkers for predicting mortality due to this life-threatening condition fail to address the complexity of this condition and the risk of bias associated with prognostic studies. We evaluate the predictive performance of four of these biomarkers in the prognosis of mortality through a methodologically sound evaluation.<h4>Methods</h4>We conducted a ...[more]

PMID: 37537680

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Project description:BackgroundEarly and accurate diagnosis of sepsis is challenging. Although procalcitonin and presepsin have been identified as potential biomarkers to differentiate between sepsis and other non-infectious causes of systemic inflammation, the diagnostic accuracy of these biomarkers remains controversial. Herein, we performed a comprehensive meta-analysis to assess the overall diagnostic value of procalcitonin and presepsin for the diagnosis of sepsis.MethodsWe searched three electronic databases (MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials) for relevant studies. Two authors independently screened articles on the basis of inclusion and exclusion criteria. The pooled sensitivity, specificity, and summary receiver operating characteristic curves were estimated. The quality of evidence for diagnostic accuracy in absolute effects, i.e., the number of true or false positives and true or false negatives, gave a particular pre-test probability.ResultsWe included 19 studies (19 observational studies and no randomized controlled trials) that had enrolled 3012 patients. Analyses of summary receiver operating characteristic curves revealed areas under the receiver operating characteristic curves of 0.84 for procalcitonin and 0.87 for presepsin. The pooled sensitivities and specificities were 0.80 (95% confidence interval 0.75 to 0.84) and 0.75 (95% confidence interval 0.67 to 0.81) for procalcitonin. For presepsin, these values were 0.84 (95% confidence interval 0.80 to 0.88) and 0.73 (95% confidence interval 0.61 to 0.82), respectively. There were no statistically significant differences in both pooled sensitivities (p = 0.48) and specificities (p = 0.57) between procalcitonin and presepsin.ConclusionOur meta-analysis provided evidence that the diagnostic accuracy of procalcitonin and presepsin in detecting infection was similar and that both are useful for early diagnosis of sepsis and subsequent reduction of mortality in critically ill adult patients.Systematic review registrationThe study was registered in PROSPERO under the registration number CRD42016035784.

Project description:BackgroundAnti-infective therapy against pathogens is the key to treatment of sepsis. Metagenomic next-generation sequencing (mNGS) has higher sensitivity than blood culture. The aim of this study was to use mNGS to identify DNAaemia of pathogens and to assess the diagnostic accuracy of presepsin (PSEP), procalcitonin (PCT), interleukin-6 (IL-6), and high-sensitivity C-reactive protein (hsCRP) in differentiating between bacterial and nonbacterial infections in patients with sepsis.MethodsThis retrospective study included patients with sepsis from November 2020 to September 2022 in the Shenzhen Second People's Hospital. Blood samples were sent for blood culture and mNGS when the patients were diagnosed with sepsis. Plasma PSEP, PCT, and IL-6 levels were measured using whole blood specimens that were collected and analyzed after a diagnosis of sepsis. Area under the receiver operating characteristic curve (AUC) was used to evaluate the accuracy of PSEP, PCT, IL-6, and hsCRP for prediction of bacterial DNAaemia detected by mNGS in patients with sepsis.ResultsThis study included 230 patients with sepsis. The bacterial DNAaemia rate was 53.0% [Gram-positive DNAaemia (GPD), Gram-negative DNAaemia (GND), and fungi DNAaemia rate was 18.2%, 37.8%, and 10.9%, respectively]. Among GND, Klebsiella was the most common, followed by Escherichia coli; meanwhile, the GPD were mainly Enterococcus, and Aspergillus was identified in 5 patients with sepsis. The PSEP median values were significantly higher in GND than in non-GND [GND: 1,291 pg/mL, interquartile range (IQR) 456-3,502 pg/mL; non-GND: 707 pg/mL, IQR 332-2,417 pg/mL; P=0.035]. There was no significant difference in PSEP values between GPD and non-GPD groups, or between fungi DNAaemia and non-fungi DNAaemia groups. Receiver operating characteristics analysis indicated that the best cutoff values for PSEP, PCT, IL-6, and hsCRP were 869 pg/mL, 1.14 ng/mL, 85.5 pg/mL, and hsCRP 96.2 mg/L, respectively. Logistic regression indicated that PSEP, PCT, IL-6, and hsCRP had significant predictive value for GND in patients with sepsis. The levels of PCT and IL-6 were different between patients with GPD and those with non-GPD. Only PCT levels differed significantly between fungal DNAaemia and nonfungal DNAaemia.ConclusionsBacterial-DNAaemia was detected in half of the patients with sepsis. PSEP, PCT, IL-6, and hsCRP demonstrated significant predictive value for GND, PCT and IL-6 levels demonstrated significant predictive value for GPD. Meanwhile, only PCT demonstrated significant predictive value for fungal DNAaemia.

Project description:BackgroundThe source of bacterial infection in neutropenic acute leukemia patients is detected in about 20-30% of cases. Bacterial cultures may require a long incubation period and risk false-positive and false- negative results. Therefore, biomarkers distinguishing septic febrile neutropenia from other etiologies in acute leukemia patients play the important role in patient assessment and treatment planning. This study aims to determine the role of procalcitonin (PCT) and presepsin (PSPN) in infectious complication in comparison to C-reactive protein (CRP) on the first and third day at the onset of febrile neutropenia in patients with acute leukemia.MethodsBetween June 2018 and February 2019, 60 acute leukemia patients with febrile neutropenia receiving chemotherapy. The 41 acute myeloid leukemia patients and 19 acute lymphoblastic leukemia patients were recruited in this study. Their ages ranged from 14 to 65 years. PCT and PSPN were measured and were compared to CRP at the onset of febrile neutropenia and after 48 hours. 20 patients had a fever of unknown origin (FUO) and 40 patients had a bacterial infection.FindingsOur results showed that the values of these markers were higher in patients with infection than patients without. The area under the curve (AUC) of PCT were 0.931 and 0.813 on day one and three respectively, which was the best in determination of infection. The cut-off values of PCT were 1.27 and 1.23 ng/mL and the cut off values of PSPN were 1.75 and 2.9 μg/L in the successive days, their clinical sensitivities were high. PCT and PSPN were capable of distinguishing the cause of febrile neutropenia from the onset of infection and predicting its complications (p<0.05). The PSPN level couldn't differentiate gram-positive or gram-negative bacterial infection. Significant differences were found between the mean values of the PSPN during the successive days in all patients and patients with bacteremia. This study illustrated a weak positive correlation between PCT and Sequential Organ Failure Assessment (SOFA) score, the negligible correlation between CRP and SOFA score and no significant correlation between PSPN and SOFA score.InterpretationPCT is an accurate biomarker in identifying infection in acute leukemia patients, its concentration is associated with the severity of bacterial sepsis. PSPN is superior to PCT for follow-up of patients.

Project description:BackgroundProcalcitonin (PCT)-guided antibiotic discontinuation appears to decrease antibiotic use in critically ill patients, but its impact on survival remains less certain.MethodsWe searched PubMed, Embase, Scopus, Web of Science, and CENTRAL for randomized controlled trials (RCTs) of PCT-guided antibiotic discontinuation in critically ill adults reporting survival or antibiotic duration. Searches were conducted without language restrictions from inception to July 23, 2018. Two reviewers independently conducted all review stages; another adjudicated differences. Data were pooled using random-effects meta-analysis. Study quality was assessed with the Cochrane risk of bias tool, and evidence was graded using GRADEpro.ResultsAmong critically ill adults (5,158 randomized; 5,000 analyzed), PCT-guided antibiotic discontinuation was associated with decreased mortality (16 RCTs; risk ratio [RR], 0.89; 95% CI, 0.83-0.97; I2 = 0%; low certainty). Death was the primary outcome in only one study and a survival benefit was not observed in the subset specified as sepsis (10 RCTs; RR, 0.94; 95% CI, 0.85-1.03; I2 = 0%), those without industry sponsorship (nine RCTs; RR, 0.98; 95% CI, 0.87-1.10; I2 = 0%), high PCT-guided algorithm adherence (five RCTs; RR, 0.93; 95% CI, 0.71-1.22; I2 = 0%), and PCT-guided algorithms without C-reactive protein (eight RCTs; RR, 0.96; 95% CI, 0.87-1.06; I2 = 0%). PCT-guided antibiotic discontinuation decreased antibiotic duration (mean difference, 1.31 days; 95% CI, -2.27 to -0.35; I2 = 93%) (low certainty).ConclusionsOur findings of increased survival and decreased antibiotic utilization associated with PCT-guided antibiotic discontinuation represent low-certainty evidence with a high risk of bias. This relationship was primarily observed in studies without high protocol adherence and in studies with algorithms combining PCT and C-reactive protein. Properly designed studies with mortality as the primary outcome are needed to address this question.Trial registryInternational Prospective Register of Systematic Reviews (PROSPERO); No.: CRD42016049715; URL: http://www.crd.york.ac.uk/PROSPERO_REBRANDING/display_record.asp?ID=CRD42016049715.

Project description:BackgroundBiomarkers can play a critical role by facilitating diagnosis and stratification of disease, as well as assessment or prediction of disease severity. Urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 product ([TIMP-2] × [IGFBP7]) predict the development and progression of AKI and recently procalcitonin (PCT), a widely used biomarker for sepsis diagnosis and management, has been associated with AKI occurrence in ICU patients. To assess combinations of [TIMP-2] × [IGFBP7] and PCT results for prediction and risk stratification of short-term outcomes in septic and non-septic patients, a retrospective cohort analysis of critically ill patients was performed in a multidisciplinary ICU. ROC curve analysis was used in order to evaluate predictive performance of combined results of [TIMP-2] × [IGFBP7] and PCT at the time of admission for AKI development. To verify the utility of adding [TIMP-2] × [IGFBP7] and PCT results for risk assessment, we evaluated the predictive value of having a single-marker positivity compared to a double-marker positivity using the widely used cut-off of 0.3 (ng/mL)2/1000 for [TIMP-2] × [IGFBP7] and 0.5 μg/L for PCT. Risk assessment for AKI occurrence within 48 h, acute kidney disease (AKD) and mortality at 7 days was performed by logistic/Cox regression analysis.Results433 patients were analysed, of whom 168 had AKI within 48 h (93 septic and 65 non-septic patients). Combination of [TIMP-2] × [IGFBP7] and PCT showed a good predictive ability for AKI occurrence (AUC 0.81, 95% CI 0.77-0.86, p < 0.001, Sens 78%, Spec 73%). Combinations of biomarkers increased the odd ratios (OR) considerably. A single-marker positivity showed a fourfold risk increase, while the double-marker positivity a 26-fold risk increase for AKI occurrence. Moreover, the double-marker positivity showed an elevated risk for AKD at 7 days in non-septic patients (OR 15.9, 95% CI 3,21-73,57, p < 0.001) and for mortality within 7 days in septic patients (HR 4.1, 95% CI 1.4-11.8, p = 0.001).ConclusionsAlthough combining the results of [TIMP-2] × [IGFBP7] and PCT may be a useful tool to identify and stratify ICU patients at high risk for septic AKI and short-term adverse outcomes, data should be confirmed in a large prospective study.

Project description:ObjectivesSeveral inflammation markers have been reported to be associated with unfavorable clinical outcomes in critically ill patients. We aimed to elucidate whether serum interleukin-6 concentration considered with Sequential Organ Failure Assessment score can better predict mortality in critically ill patients.DesignA prospective observational study.SettingFive university hospitals in 2016-2018.PatientsCritically ill adult patients who met greater than or equal to two systemic inflammatory response syndrome criteria at admission were included, and those who died or were discharged within 48 hours were excluded.InterventionsInflammatory biomarkers including interleukin (interleukin)-6, -8, and -10; tumor necrosis factor-α; C-reactive protein; and procalcitonin were blindly measured daily for 3 days. Area under the receiver operating characteristic curve for Sequential Organ Failure Assessment score at day 2 according to 28-day mortality was calculated as baseline. Combination models of Sequential Organ Failure Assessment score and additional biomarkers were developed using logistic regression, and area under the receiver operating characteristic curve calculated in each model was compared with the baseline.Measurements and main resultsAmong 161 patients included in the study, 18 (11.2%) did not survive at day 28. Univariate analysis for each biomarker identified that the interleukin-6 (days 1-3), interleukin-8 (days 0-3), and interleukin-10 (days 1-3) were higher in nonsurvivors than in survivors. Analyses of 28-day mortality prediction by a single biomarker showed interleukin-6, -8, and -10 at days 1-3 had a significant discrimination power, and the interleukin-6 at day 3 had the highest area under the receiver operating characteristic curve (0.766 [0.656-0.876]). The baseline area under the receiver operating characteristic curve for Sequential Organ Failure Assessment score predicting 28-day mortality was 0.776 (0.672-0.880). The combination model using additional interleukin-6 at day 3 had higher area under the receiver operating characteristic curve than baseline (area under the receiver operating characteristic curve = 0.844, area under the receiver operating characteristic curve improvement = 0.068 [0.002-0.133]), whereas other biomarkers did not improve accuracy in predicting 28-day mortality.ConclusionsAccuracy for 28-day mortality prediction was improved by adding serum interleukin-6 concentration to Sequential Organ Failure Assessment score.

Dataset Information

Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.

Background

Methods

Results

Conclusion

Trial registration

Publications

Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.

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