soluble immune checkpoints scd25 Search Results


biomarkers  (Strem Chemicals)
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Strem Chemicals biomarkers
ROC curve analyses. ( a ) Discriminating sepsis from NIOF. ( b ) Discriminating septic shock from sepsis. ( c ) Predicting 30-day mortality in sepsis including septic shock. ( d ) combination of SOFA score and <t>biomarkers</t> for predicting 30-day mortality in sepsis including septic shock. Three biomarkers include Gal-9, sTREM-1, and <t>sCD25,</t> and five biomarkers include Gal-9, sTREM-1, sCD25, CRP, and lactate. ROC, Receiver operating characteristic; Gal-9, galectin-9; sTREM-1, soluble triggering receptor expressed on myeloid cells-1; sCD25, soluble CD25; CRP, C-reactive protein; NIOF, non-infectious organ failure.
Biomarkers, supplied by Strem Chemicals, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/soluble+immune+checkpoints+scd25/biomarkers/pmc12609408-159-12-14
Average 86 stars, based on 1 article reviews
biomarkers - by Bioz Stars, 2026-10
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ROC curve analyses. ( a ) Discriminating sepsis from NIOF. ( b ) Discriminating septic shock from sepsis. ( c ) Predicting 30-day mortality in sepsis including septic shock. ( d ) combination of SOFA score and biomarkers for predicting 30-day mortality in sepsis including septic shock. Three biomarkers include Gal-9, sTREM-1, and sCD25, and five biomarkers include Gal-9, sTREM-1, sCD25, CRP, and lactate. ROC, Receiver operating characteristic; Gal-9, galectin-9; sTREM-1, soluble triggering receptor expressed on myeloid cells-1; sCD25, soluble CD25; CRP, C-reactive protein; NIOF, non-infectious organ failure.

Journal: Diagnostics

Article Title: Clinical Value of Galectin-9, Soluble TREM-1, and Soluble CD25 Among Critically Ill Patients with Organ Failure in the Emergency Department: A Prospective Observational Study

doi: 10.3390/diagnostics15212677

Figure Lengend Snippet: ROC curve analyses. ( a ) Discriminating sepsis from NIOF. ( b ) Discriminating septic shock from sepsis. ( c ) Predicting 30-day mortality in sepsis including septic shock. ( d ) combination of SOFA score and biomarkers for predicting 30-day mortality in sepsis including septic shock. Three biomarkers include Gal-9, sTREM-1, and sCD25, and five biomarkers include Gal-9, sTREM-1, sCD25, CRP, and lactate. ROC, Receiver operating characteristic; Gal-9, galectin-9; sTREM-1, soluble triggering receptor expressed on myeloid cells-1; sCD25, soluble CD25; CRP, C-reactive protein; NIOF, non-infectious organ failure.

Article Snippet: In the ROC curve analysis, the AUC of the combination of 3 biomarkers (Gal-9, sTREM-1, sCD25) was 0.670 (95% confidence interval [CI], 0.615–0.726; p < 0.001), and the model was well calibrated (Hosmer-Lemeshow test; Χ 2 = 5.530; d f = 8; p = 0.700) for predicting 30-day mortality in patients with sepsis and septic shock.

Techniques:

Kaplan–Meier survival curve according to the optimal cut-off values of biomarkers to predict 30-day mortality. ( a ) Gal-9. ( b ) sTREM-1. ( c ) sCD25. ( d ) CRP. ( e ) Lactate. Gal-9, galectin-9; sTREM-1, soluble triggering receptor expressed on myeloid cells-1; sCD25, soluble CD25; CRP, C-reactive protein.

Journal: Diagnostics

Article Title: Clinical Value of Galectin-9, Soluble TREM-1, and Soluble CD25 Among Critically Ill Patients with Organ Failure in the Emergency Department: A Prospective Observational Study

doi: 10.3390/diagnostics15212677

Figure Lengend Snippet: Kaplan–Meier survival curve according to the optimal cut-off values of biomarkers to predict 30-day mortality. ( a ) Gal-9. ( b ) sTREM-1. ( c ) sCD25. ( d ) CRP. ( e ) Lactate. Gal-9, galectin-9; sTREM-1, soluble triggering receptor expressed on myeloid cells-1; sCD25, soluble CD25; CRP, C-reactive protein.

Article Snippet: In the ROC curve analysis, the AUC of the combination of 3 biomarkers (Gal-9, sTREM-1, sCD25) was 0.670 (95% confidence interval [CI], 0.615–0.726; p < 0.001), and the model was well calibrated (Hosmer-Lemeshow test; Χ 2 = 5.530; d f = 8; p = 0.700) for predicting 30-day mortality in patients with sepsis and septic shock.

Techniques: