SOLUBLE TRIGGERING RECEPTOR EXPRESSED ON MYELOID CELLS -1 (sTREM-1) AS aDIAGNOSTIC AND PROGNOSTIC MARKER FOR LATE-ONSET SEPSIS IN PRETERM NEONATES.

El-khier, NohaTharwatAbou; Nassar, DaliaKamal; AbdElAal, SanaaMoheiEl-Din; Abdel-Hady, HeshamEL-Sayed

doi:10.21474/ijar01/1193

Cited by 3 publications

(9 citation statements)

References 21 publications

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“…Among them, 84 studies included patients older than 28 days, four studies could not obtain full-texts, and two studies could not extract a 2 × 2 contingency table. Finally, 13 studies (36-48) that met our research criteria were included in qualitative analysis and 11 studies (36,(38)(39)(40)(41)(42)(43)(44)(45)(46)(47) were included in quantitative analysis. The literature screening process is shown in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…From the evaluation results of the risk of bias, it was found that the high-risk items were mainly index test and patient selection. On the one hand, high risk of bias was found in the index test domain because in most studies the threshold value for TREM-1 expression to diagnose neonatal sepsis was determined by ROC curves rather than predetermined (36,38,39,(41)(42)(43)(45)(46)(47)(48). On the other hand, the high risk of bias in patient selection was mainly because some of the studies were not continuous or random cases within a certain time range (36,37,39,41).…”

Section: Discussionmentioning

confidence: 99%

“…Six studies were conducted in Egypt (39, 41, 43, 44, 46, 48), three in Turkey (42, 45, 47), and the remaining three studies were conducted in European countries (Italy, Switzerland, and Greece) (36)(37)(38). The study group included newborns with EOS in one study (38), newborns with LOS in six studies (36,37,42,43,45,47), EOS+LOS in four studies (39, 44, 46, 48), and one study was not mentioned (41). Ten studies measured TREM-1 expression levels by enzymelinked immunosorbent assay (ELISA) (36,38,39,(41)(42)(43)(44)(45)(46)(47), one by flow cytometry (37), and another one by reverse transcriptionpolymerase chain reaction (RT-PCR) (48).…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…The study group included newborns with EOS in one study (38), newborns with LOS in six studies (36,37,42,43,45,47), EOS+LOS in four studies (39, 44, 46, 48), and one study was not mentioned (41). Ten studies measured TREM-1 expression levels by enzymelinked immunosorbent assay (ELISA) (36,38,39,(41)(42)(43)(44)(45)(46)(47), one by flow cytometry (37), and another one by reverse transcriptionpolymerase chain reaction (RT-PCR) (48). Considering the different detection methods, 10 studies were included in the meta-analysis, with a total of 743 newborns (36,38,39,(41)(42)(43)(44)(45)(46)(47).…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…Ten studies measured TREM-1 expression levels by enzymelinked immunosorbent assay (ELISA) (36,38,39,(41)(42)(43)(44)(45)(46)(47), one by flow cytometry (37), and another one by reverse transcriptionpolymerase chain reaction (RT-PCR) (48). Considering the different detection methods, 10 studies were included in the meta-analysis, with a total of 743 newborns (36,38,39,(41)(42)(43)(44)(45)(46)(47).…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

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Diagnostic and prognostic predictive values of triggering receptor expressed on myeloid cell-1 expression in neonatal sepsis: A meta-analysis and systematic review

et al. 2022

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ObjectiveThe purpose of this systematic review was to explore the value of the expression level of the triggering receptor expressed on myeloid cell-1 (TREM-1) in the diagnosis and prognosis of neonatal sepsis.MethodsA comprehensive search was performed to identify the diagnostic and prognostic predictive values of the TREM-1 expression level in neonatal sepsis. Based on the retrieval strategy, Cochrane Library, Embase, Ovid, ProQuest, PubMed, Scopus, and Web of Science databases were searched from inception to February 2022. Studies were included if they assessed the accuracy of TREM-1 expression in the diagnosis of neonatal sepsis and distinguished survival and death in neonatal sepsis. Two authors independently evaluated the study and extracted the data, including the first author of the literature, country, total study population, basic population characteristics of the study group and the control group, study design (observational studies), type of sample, sepsis onset, type of biomarker, assay method, cut-off, sensitivity, specificity, true positives (TP), false positives (FP), false negatives (FN), and true negatives (TN). A third party will be consulted if disputed. The accuracy of TREM-1 expression in the diagnosis and prognostic prediction of neonatal sepsis was evaluated by a bivariate mixed-effects model. The source of heterogeneity was explored through meta-regression analysis.ResultsThirteen articles that met the research criteria were included in qualitative analysis, and 11 of them were included in quantitative analysis. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the summary receiver operator characteristic (SROC) curve of soluble TREM-1 (sTREM-1) were 0.94 (95% CI: 0.82, 0.98), 0.87 (95% CI: 0.70, 0.95), 7.36 (95% CI: 2.75, 19.74), 0.07 (95% CI: 0.02, 0.24), 111.71 (95% CI: 13.24, 942.92), and 0.96 (95% CI: 0.94, 0.98), respectively. Meta-regression and subgroup analysis were used to investigate the heterogeneity, owing to non-threshold effects caused by types of test sample and research design. sTREM-1 as a biomarker for distinguishing survival and death in neonates with sepsis had pooled sensitivity, specificity, area under the SROC curve, PLR, NLR, and DOR of 0.95 (95% CI: 0.83, 0.99), 0.98 (95% CI: 0.68, 1.00), 0.99 (95% CI: 0.97, 0.99), 39.28 (95% CI: 2.13, 723.99), 0.05 (95% CI: 0.01, 0.19), and 789.61 (95% CI: 17.53, 35,560.72), respectively.ConclusionThe study showed that TREM-1 was a potential biomarker for the diagnosis and prognosis of neonatal sepsis. The biggest advantage of this study is that it is the first to comprehensively explore the role of TREM-1 expression in the diagnosis and prognosis of neonatal sepsis. However, there are some limitations in this study, such as the reduced number of clinical studies on TREM-1 expression as a biomarker of neonatal sepsis, regional bias, and differences in detection methods. Hence, more large-scale and high-quality studies are needed to improve diagnostic accuracy.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022338041.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

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Diagnostic and prognostic predictive values of triggering receptor expressed on myeloid cell-1 expression in neonatal sepsis: A meta-analysis and systematic review

et al. 2022

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Soluble TREM-1 as a predictive factor of neonatal sepsis: a meta-analysis

et al. 2018

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Current evidence suggests that sTREM-1 may become a useful biomarker for the prediction of neonatal sepsis. However, the small number of studies and the variation of the threshold values limit its implementation in clinical practice. Future large-scale studies are needed to determine the optimal cut-off value that may discriminate normal levels from those suggestive of the presence of neonatal sepsis.

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Sepsis Prediction: Biomarkers Combined in a Bayesian Approach

CABRAL,

SILVEIRA,

XAVIER

et al. 2024

Preprint

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Background Sepsis is a serious public health problem. The soluble triggering receptor expressed on myeloid cells-1 is a marker of inflammatory and infectious processes that has the potential to become a useful tool for predicting the evolution of sepsis. To build a prediction model for sepsis by combining soluble triggering receptors expressed on myeloid cells-1, C-Reactive Protein, and leukogram using a Bayesian network. Methods This is an exploratory translational study, was carried out with 32 children with congenital heart disease who had undergone surgical correction in a public referral hospital in the northeast of Brazil. The TRIPOD recommendations were used. Results We found that in the postoperative period, the mean soluble triggering receptors expressed on myeloid cells-1 was higher among patients diagnosed with sepsis than among those without the diagnosis, respectively (soluble triggering receptors expressed on myeloid cells-1 post = 394.58 pg/mL versus 239.93 pg/mL p < 0.001). Analysis of the ROC curve for soluble triggering receptors expressed on myeloid cells-1 and sepsis showed that the area under the curve was 0.761 with a 95% CI (0.587–0.935) and p = 0.013. We found, with the Bayesian model, a 100% probability of sepsis related to post-operative blood concentrations of C-Reactive Protein above 71 mg/dL, leukogram values above 14,000 cells/µL, and soluble triggering receptors expressed on myeloid cells-1concentrations above the cut-off point (283.53 pg/mL). Conclusions The model proposed using the Bayesian Network approach proved to be effective for diagnosing sepsis, with adequate sensitivity and specificity.

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SOLUBLE TRIGGERING RECEPTOR EXPRESSED ON MYELOID CELLS -1 (sTREM-1) AS aDIAGNOSTIC AND PROGNOSTIC MARKER FOR LATE-ONSET SEPSIS IN PRETERM NEONATES.

Cited by 3 publications

References 21 publications

Diagnostic and prognostic predictive values of triggering receptor expressed on myeloid cell-1 expression in neonatal sepsis: A meta-analysis and systematic review

Diagnostic and prognostic predictive values of triggering receptor expressed on myeloid cell-1 expression in neonatal sepsis: A meta-analysis and systematic review

Soluble TREM-1 as a predictive factor of neonatal sepsis: a meta-analysis

Sepsis Prediction: Biomarkers Combined in a Bayesian Approach

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