Literature DB >> 32481464

Biomarker combination and SOFA score for the prediction of mortality in sepsis and septic shock: A prospective observational study according to the Sepsis-3 definitions.

Juhyun Song1, Sungwoo Moon1,2, Dae Won Park3, Han-Jin Cho1, Joo Yeong Kim1, Jonghak Park1, Jae Hyung Cha4.   

Abstract

Biomarkers are valuable tools for the prediction of mortality in patients with sepsis. However, the use of a single biomarker to predict patient outcomes is challenging owing to the complexity and redundancy of the immune response to infections.We aimed to conduct a prospective observational analysis to investigate the prognostic value of pentraxin 3, interleukin 6, procalcitonin, and lactate combined in predicting the 28-day mortality rate in patients with sepsis or septic shock (n = 160; sepsis, 78; sepsis shock, 82). Two methods (the frequency sum of values above the cutoff, and the multivariate logistic regression model) were used to assess the prognostic value of the biomarker combination.In the receiver operating characteristic curve analyses, the combination of the 4 biomarkers was better than the Sequential Organ Failure Assessment (SOFA) score in predicting the 28-day mortality rate, regardless of whether the frequency sum of values above the cutoff or the multivariate logistic model was used for the analysis. The addition of the SOFA score to the biomarker combination did not result in a better performance for the prediction of mortality.The combined biomarker approach showed good performance in predicting 28-day all-cause mortality among patients diagnosed with either sepsis or septic shock according to the Sepsis-3 definitions. Furthermore, it was superior to the SOFA score in predicting mortality.

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Year:  2020        PMID: 32481464     DOI: 10.1097/MD.0000000000020495

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


  8 in total

1.  Pentraxin-3 as a predictive marker of mortality in sepsis: an updated systematic review and meta-analysis.

Authors:  Guobin Wang; Chunyan Jiang; Junjun Fang; Zhitao Li; Hongliu Cai
Journal:  Crit Care       Date:  2022-06-08       Impact factor: 19.334

2.  Prognostic value of plasma pentraxin 3 levels in patients with septic shock admitted to intensive care.

Authors:  S Perez-San Martin; B Suberviola; M T Garcia-Unzueta; B A Lavin; S Campos; M Santibañez
Journal:  PLoS One       Date:  2020-12-10       Impact factor: 3.240

3.  Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost.

Authors:  Nianzong Hou; Mingzhe Li; Lu He; Bing Xie; Lin Wang; Rumin Zhang; Yong Yu; Xiaodong Sun; Zhengsheng Pan; Kai Wang
Journal:  J Transl Med       Date:  2020-12-07       Impact factor: 5.531

Review 4.  Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review.

Authors:  Tatiana Barichello; Jaqueline S Generoso; Mervyn Singer; Felipe Dal-Pizzol
Journal:  Crit Care       Date:  2022-01-06       Impact factor: 9.097

Review 5.  Biomarkers for the Prediction and Judgement of Sepsis and Sepsis Complications: A Step towards precision medicine?

Authors:  Thilo von Groote; Melanie Meersch-Dini
Journal:  J Clin Med       Date:  2022-09-29       Impact factor: 4.964

6.  A cytokine/PTX3 prognostic index as a predictor of mortality in sepsis.

Authors:  Sadaf Davoudian; Daniele Piovani; Antonio Desai; Sarah N Mapelli; Roberto Leone; Marina Sironi; Sonia Valentino; Rita Silva-Gomes; Matteo Stravalaci; Fatemeh Asgari; Alessandra Madera; Daniele Piccinini; Carlo Fedeli; Denise Comina; Stefanos Bonovas; Antonio Voza; Alberto Mantovani; Barbara Bottazzi
Journal:  Front Immunol       Date:  2022-09-15       Impact factor: 8.786

7.  Macrophage expression and prognostic significance of the long pentraxin PTX3 in COVID-19.

Authors:  Enrico Brunetta; Marco Folci; Barbara Bottazzi; Maria De Santis; Giuseppe Gritti; Alessandro Protti; Sarah N Mapelli; Stefanos Bonovas; Daniele Piovani; Roberto Leone; Ilaria My; Veronica Zanon; Gianmarco Spata; Monica Bacci; Domenico Supino; Silvia Carnevale; Marina Sironi; Sadaf Davoudian; Clelia Peano; Francesco Landi; Fabiano Di Marco; Federico Raimondi; Andrea Gianatti; Claudio Angelini; Alessandro Rambaldi; Cecilia Garlanda; Michele Ciccarelli; Maurizio Cecconi; Alberto Mantovani
Journal:  Nat Immunol       Date:  2020-11-18       Impact factor: 25.606

Review 8.  Aptamer-based biosensors for the diagnosis of sepsis.

Authors:  Lubin Liu; Zeyu Han; Fei An; Xuening Gong; Chenguang Zhao; Weiping Zheng; Li Mei; Qihui Zhou
Journal:  J Nanobiotechnology       Date:  2021-07-19       Impact factor: 10.435

  8 in total

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