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Background: To evaluate the effect of recombinant human thrombopoietin (rhTPO) on clinical prognosis by exploring changes in endothelial cell injury markers and inflammatory factors in patients with sepsis after treatment with rhTPO. Methods: This retrospective observational study involved patients with sepsis (diagnosed according to Sepsis 3.0) admitted to Shanghai General Hospital intensive care unit from January 1, 2019 to December 31, 2022. Patients were divided into two groups (control and rhTPO) according to whether they received rhTPO. Baseline information, clinical data, prognosis, and survival status of the patients, as well as inflammatory factors and immune function indicators were collected. The main monitoring indicators were endothelial cell-specific molecule (ESM-1), human heparin-binding protein (HBP), and CD31; secondary monitoring indicators were interleukin (IL)-6, tumor necrosis factor (TNF)-α, extravascular lung water index, platelet, antithrombin III, fibrinogen, and international normalized ratio. We used intraperitoneal injection of lipopolysaccharide (LPS) to establish a mouse model of sepsis. Mice were randomly divided into four groups: normal saline, LPS, LPS + rhTPO, and LPS + rhTPO + LY294002. Plasma indicators in mice were measured by enzyme-linked immunosorbent assay. Results: A total of 84 patients were included in the study. After 7 days of treatment, ESM-1 decreased more significantly in the rhTPO group than in the control group compared with day 1 (median=38.6 [interquartile range, IQR: 7.2 to 67.8] pg/mL vs. median=23.0 [IQR: −15.7 to 51.5] pg/mL, P=0.008). HBP and CD31 also decreased significantly in the rhTPO group compared with the control group (median=59.6 [IQR: −1.9 to 91.9] pg/mL vs. median=2.4 [IQR: −23.2 to 43.2] pg/mL; median=2.4 [IQR: 0.4 to 3.5] pg/mL vs. median=−0.6 [IQR: −2.2 to 0.8] pg/mL, P

Background: Sepsis is typically associated with poor outcomes. There are various risk factors and predictive models for sepsis based on clinical indicators. However, these models are usually predictive of all critical patients. This study explored the risk factors for 28-day outcomes of patients with sepsis and developed a prognosis prediction model. Methods: This was a multicenter retrospective analysis of sepsis patients hospitalized in three intensive care units (ICUs) from September 1st 2015, to June 30th 2020. Demographic, clinical history, and laboratory test data were extracted from patient records. Investigators explored the risk factors affecting 28-day sepsis prognosis by univariate analysis. The effects of confounding factors were excluded by multivariate logistic regression analysis, and new joint predictive factors were calculated. A model predicting 28-day sepsis prognosis was constructed through data processing analysis. Results: A total of 545 patients with sepsis were included. The 28-day mortality rate was 32.3%. Risk factors including age, D-dimer, albumin, creatinine, and prothrombin time (PT) were predictive of death from sepsis. The goodness-of-fit value for this prediction model was 0.534, and the area under the receiver operating characteristic curve was 0.7207. Further analysis of the immune subgroups (n=140) revealed a significant decrease in CD3+, CD4+CD8-, and CD4+CD29+ memory effector T lymphocytes and an increase in CD56+ natural killer (NK) cells in the hypoalbuminemia group compared with the normal albumin group (65.5 vs. 58.3, P=0.005; 41.2 vs. 32.4, P=0.005; 21.8 vs. 17.1, P=0.029; 12.6 vs. 17.6, P=0.004). Conclusions: Risk factors for 28-day sepsis mortality include age, D-dimer, creatinine, PT, and albumin. A decrease in albumin level may exacerbate immunosuppression in patients with sepsis. This study establishes a prediction model based on these indicators, which shows a good degree of calibration and differentiation. This model may provide good predictive value for clinical sepsis prognosis.