ArticleAnnals of translational medicine2021
The predictive prognostic values of serum interleukin-2, interleukin-6, interleukin-8, tumor necrosis factor-α, and procalcitonin in surgical intensive care unit patients.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Serum inflammatory biomarkers can predict clinical outcomes in patients with sepsis-associated gastrointestinal dysfunction.World journal of gastrointestinal surgery · 2026Article
- HSP-70 and TNF-α as predictors of acute respiratory distress syndrome in children with pneumonia.BMC pediatrics · 2025Article
- C-reactive protein as a non-linear predictor of prolonged length of intensive care unit stay after gastrointestinal cancer surgery.World journal of clinical cases · 2022Article
- Identification of biomarkers and the mechanisms of multiple trauma complicated with sepsis using metabolomics.Frontiers in public health · 2022Article
- Predictive values profiling of interleukin-2, interleukin-8, tumor necrosis factor-α, procalcitonin, and C-reactive protein in critical gastrointestinal cancer patients.Journal of gastrointestinal oncology · 2021Article
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Abstract
backgroundThe pathophysiological roles of serum cytokine levels in critically ill surgical patients has yet to be determined. This study aimed to determine the predictive prognostic values of serum interleukin IL-2, IL-6, IL-8, tumor necrosis factor-α (TNF-α), and procalcitonin (PCT) in surgical intensive care unit (ICU) patients.
methodsCytokine concentrations were measured with an IMMULITE 1000 Immunoassay System (Siemens Healthcare Diagnostics GmbH, Berlin, Germany). The study population was divided into quartiles according to the patients' cytokine levels: Q1, Q2, Q3, and Q4. The optimal cutoff values of IL-2, IL-6, IL-8, TNF-α, and PCT level for predicting mortality were established by drawing receiver operating characteristic curves.
resultsThe levels of IL-2 in Q3 [odds ratio (OR) =4.434, 95% confidence intervals (95% CI): 1.527-12.874] and Q4 (OR =7.715, 95% CI: 2.744-21.693) were significantly higher than those in the Q1. The same results were noted in IL-6 and IL-8, and only Q4 (OR =2.383, 95% CI: 1.419-4.001) showed significance in the level of TNF-α. For IL-2, a cutoff value of 930.5 U/mL yielded a sensitivity of 69.39% and a specificity of 80.16% for the prediction of clinical outcome [area under the curve (AUC): 0.822; 95% CI: 0.789-0.855]. For IL-6, a cutoff value of 50.95 pg/mL showed discrimination ability, yielding a sensitivity of 71.43% and a specificity of 61.75% for (AUC: 0.704; 95% CI: 0.660-0.748). For IL-8, a cutoff value of 44.1 pg/mL yielded a sensitivity of 57.82% and a specificity of 79.58% for predicting clinical outcome (AUC: 0.753; 95% CI: 0.713-0.793). For TNF-α, a cutoff value of 11.95 pg/mL yielded a sensitivity and specificity of 68.66% and 72.90%, respectively, in predicting clinical outcome (AUC: 0.758; 95% CI: 0.717-0.800). The positive likelihood ratios for IL-2, IL-6, IL-8, and TNF-α were 3.50, 1.87, 2.83 and 2.53, and the negative likelihood ratios were 0.38, 0.46, 0.53, and 0.43, respectively.
conclusionsIn critically ill patients, high levels of IL-2, IL-6, IL-8, and TNF-α in the first 24 h postoperatively were associated with clinical outcome. However, the effect of PCT level on prognosis still requires further study.
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