Platelets as a prognostic marker for sepsis

Zhao, Lina; Zhao, Lu; Wang, Yun Ying; Yang, Fei; Chen, Zhuang; Yu, Qing; Shi, Hui; Huang, Shiang‐Fen; Zhao, Xiaoli; Xiu, Limei; Li, Xiaolu; Li, Yun

doi:10.1097/md.0000000000023151

Cited by 17 publications

(8 citation statements)

References 34 publications

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“…Due to limited treatment methods, early identification and early intervention are the key to the treatment of sepsis 25 . Previous studies have investigated the predictive performance of several biomarkers in the prognosis of sepsis patients, including platelet 26 , neutrophil/lymphocyte ratio (NLR) 27 , lactate/albumin ratio 28 , plasminogen activator inhibitor-1 (PAI-1) 29 , signal peptide-CUB-epidermal growth factor-like domain-containing protein 1 (SCUBE-1) 30 , and vitamin D receptor 31 . CAR has been recently used as a new prognostic marker in COVID-19 32 , severe fever with thrombocytopenia syndrome (SFTS) 33 , and cardiac arrest 34 .…”

Section: Discussionmentioning

confidence: 99%

C-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram

Zhou,

Fu,

et al. 2023

Sci Rep

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To develop a C-reactive protein-to-albumin ratio (CAR)-based nomogram for predicting the risk of in-hospital death in sepsis patients. Sepsis patients were selected from the MIMIC-IV database. Independent predictors were determined by multiple Cox analysis and then integrated to predict survival. The performance of the model was evaluated using the concordance index (C-index), receiver operating characteristic curve (ROC) analysis, and calibration curve. The risk stratifications analysis and subgroup analysis of the model in overall survival (OS) were assessed by Kaplan–Meier (K–M) curves. A total of 6414 sepsis patients were included. C-index of the CAR-based model was 0.917 [standard error (SE): 0.112] for the training set and 0.935 (SE: 0.010) for the validation set. The ROC curve analysis showed that the area under the curve (AUC) of the nomogram was 0.881 in the training set and 0.801 in the validation set. And the calibration curve showed that the nomogram performs well in both the training and validation sets. K–M curves indicated that patients with high CAR had significantly higher in-hospital mortality than those with low CAR. The CAR-based model has considerably high accuracy for predicting the OS of sepsis patients.

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Section: Discussionmentioning

confidence: 99%

C-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram

Zhou,

Fu,

et al. 2023

Sci Rep

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“…INR is also an effective sepsis screening indicator and prognostic factor ( 53 , 54 ). During the initial stages of infection, coagulation acts as a natural defense mechanism in an attempt to limit the pathogen and prevent its spread to systemic circulation ( 48 , 55 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the risk factors of early sepsis after liver transplantation: development of a novel predictive model

Chen,

Wu,

Gong

et al. 2023

Front. Med.

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BackgroundSepsis is a severe and common complication of liver transplantation (LT) with a high risk of mortality. However, effective tools for evaluating its risk factors are lacking. Therefore, this study identified the risk factors of early post-liver transplantation sepsis and established a nomogram.MethodsWe analyzed the risk factors of post-liver transplantation sepsis in 195 patients. Patients with infection and a systemic inflammatory response syndrome (SIRS) score ≥ 2 were diagnosed with sepsis. The predictive indicators were screened with the least absolute shrinkage and selection operator (LASSO) and collinearity analyses to develop a nomogram. The prediction performance of the new nomogram model, Sequential Organ Failure Assessment (SOFA) score, and Modified Early Warning Score (MEWS) was compared through assessment of the area under the curve (AUC), decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI).ResultsThe nomogram was based on postoperative heart rate, creatinine concentration, PaO2/FiO2 ratio < 400 mmHg, blood glucose concentration, and international normalized ratio. The AUC of the nomogram, the SOFA score, and MEWS were 0.782 (95% confidence interval CI: 0.716–0.847), 0.649 (95% CI: 0.571–0.727), and 0.541 (95% CI: 0.469–0.614), respectively. The DCA curves showed that the net benefit rate of the nomogram was higher than that of the SOFA score and MEWS. The NRI and IDI tests revealed better predictive performance for the nomogram than SOFA score and MEWS.ConclusionHeart rate, creatinine concentration, PaO2/FiO2, glucose concentration, and international normalized ratio should be monitored postoperatively for patients at risk of post-liver transplantation sepsis. The nomogram based on the aforementioned risk factors had a better predictive performance than SOFA score and MEWS.

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“…In recent years, an increasing number of researchers have found that inflammatory biomarkers, such as ALB [ 17 ], ferritin [ 6 ], Albumin/Fibrinogen [ 18 , 19 ], hematocrit [ 20 ], platelets [ 21 ], Red blood cell distribution width [ 22 ], systemic immune-inflammation index [ 23 ], Prognostic nutrition index [ 24 ], and urea nitrogen/albumin [ 25 ], etc. FAR holds potential as a prognostic indicator for predicting the outcome of sepsis patients.…”

Section: Discussionmentioning

confidence: 99%

Association between ferritin to albumin ratio and 28-day mortality in patients with sepsis: a retrospective cohort study

Liu,

Liu

2023

Eur J Med Res

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Objectives The ratio of ferritin to albumin (FAR) has been proposed as a novel prognostic indicator for COVID-19. However, the role of FAR in predicting the all-cause mortality rate in patients with sepsis has not been evaluated. Therefore, the aim of this study is to elucidate the correlation between FAR and the 28-day all-cause mortality rate in patients with sepsis. Methods This study used data from the Medical Information Mart for Intensive Care IV database (v2.0) for a retrospective cohort analysis. The study focused on adult patients with sepsis who were admitted to the intensive care unit. The primary objective was to assess the predictive capability of FAR in determining the 28-day all-cause mortality rate among patients with sepsis. Results The study involved 1553 sepsis patients in total. Based on the survival status of sepsis patients within 28 days, they were divided into two groups: a survival group consisting of 973 patients, and a death group consisting of 580 patients. The results revealed a 28-day mortality rate of 37.35% among sepsis patients. The multivariable Cox regression analysis revealed that FAR was an independent predictor of the 28-day all-cause mortality rate in patients with sepsis (hazard ratio [HR]: 1.17–1.19; 95% confidence interval 1.11–1.26; P < 0.001). The FAR demonstrated a higher area under the curve (AUC) of 61.01% (95% confidence interval 58.07–63.96%), compared to serum ferritin (60.48%), serum albumin (55.56%), and SOFA score (56.97%). Receiver operating characteristic curve (ROC) analysis determined the optimal cutoff value for FAR as 364.2215. Kaplan–Meier analysis revealed a significant difference in the 28-day all-cause mortality rate between patients with FAR ≥ 364.2215 and those with FAR < 364.2215 (P < 0.001). Furthermore, subgroup analysis showed no significant interaction between FAR and each subgroup. Conclusions This study revealed a significant correlation between FAR and the 28-day mortality rate in patients with sepsis. Higher FAR values were strongly associated with increased mortality rates within 28 days.

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Platelets as a prognostic marker for sepsis

Abstract: Supplemental Digital Content is available in the text

Cited by 17 publications

References 34 publications

C-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram

C-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram

Exploring the risk factors of early sepsis after liver transplantation: development of a novel predictive model

Association between ferritin to albumin ratio and 28-day mortality in patients with sepsis: a retrospective cohort study

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