Sepsis-induced myocardial dysfunction:novel therapeutic perspectives focusing on immunometabolism and cell death mechanismsLiu Yuan, Mei Jianqiang176-180
Prognostic value of global longitudinal strain measured by speckle-tracking echocardiography in patients with sepsisLi Meiling, Luo Yannian, Mao Wenjie, He Nannan, Cao Wen181-188
Machine learning-based identification of biomarkers and mechanisms for the sepsis risk induced by aflatoxin B1 exposureSu Shuncheng, Guo Jian, Xia Yichun, Wang Hanzhou, Li Yuhang, Ma Lele, Fu Yuqing, Hu Guanyu, Liu Zhu, Qian Yiming189-198
Machine learning-based prediction model for in hospital mortality in sepsis using multimodal structured data fusion:an emergency department cohort study with interpretability analysisSun Chengcheng, Wang Ping, Cui Dongliang, Yang Siqi, Xiang Tao199-206
The predictive value of pH-corrected calcium concentration combined with rSIG index for coagulation dysfunction in children with multiple traumasWang Xiuqin, Xu Weihua207-212
Predictive value of standardized lactic acid load for acute kidney injury after hip fracture surgery in the elderlyZhang Kai, Jin Ping, Liu Yang, Zheng Qihui213-217
Prognostic value of FSTL-1 combined with ALBI score in predicting patients with acute decompensated left heart failure in ICUYao Wensi, Wang Qingping, Jiang Yuxin, Shao Li, Liu Yuhao, Yao Zhixiang218-223
Construction of a risk prediction model for the occurrence of consciousness disorders in acute respiratory failure patients based on DynNom dynamic scoringWang Zhen, Sun Haiyan, Wu Fei, Yang Wu, Guo Ge224-228,封3
