Non Linear Relationship between BMI and Sepsis among ICU Patients: Analysis of the MIMIC-III Real World Database by MK Lintu, Amitha Puranik, Kalesh M Karun, David Raj Micheal, Asha Kamath

Subjects: “…medical information mart for intensive care…”
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Association between pre-ICU statin use and ARDS mortality in the MIMIC-IV database: a cohort study by Hui Mao, Yi Yu, Qianqian Wang, Qianqian Wang, Hengjie Li

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Impact of lactate dehydrogenase on prognosis of patients undergoing cardiac surgery by Yu Zeng, Yuhe Zhao, Shuren Dai, Yanyan Liu, Ruoyu Zhang, Hong Yan, Min Zhao, Yong Wang

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Association of serum chloride levels with all-cause mortality among patients in surgical intensive care units: a retrospective analysis of the MIMIC-IV database by Quan Ma, Wei Tian, Kaifeng Wang, Bin Xu, Tianyu Lou

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Development and validation of a novel combinatorial nomogram model to predict in-hospital deaths in heart failure patients by Dabei Cai, Qianwen Chen, Xiaobo Mu, Tingting Xiao, Qingqing Gu, Yu Wang, Yuan Ji, Ling Sun, Jun Wei, Qingjie Wang

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Association between statin use and acute pulmonary embolism in intensive care unit patients with sepsis: a retrospective cohort study by Dengcang Yang, Yanyan He, Qianqian Wang, Qianqian Wang, Yi Yu

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Atrial fibrillation is not an independent determinant of 28-day mortality among critically III sepsis patients by Weiping Wang, Yujiang Dong, Qian Zhang, Hongmei Gao

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Development and external validation of a nomogram for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage by Xiao Jin, Shijia Wang, Chengwei Zhang, Song Yang, Lejing Lou, Shuyao Xu, Chang Cai

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High level of systemic immune inflammation index elevates delirium risk among patients in intensive care unit by Feifei Xu, Shurong Zhang, Yanyuan Zhang

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An Interpretable Machine Learning Model for Predicting In-hospital Death Risk in Patients with Cardiac Arrest: Based on US Medical Information Mart for Intensive Care Database Ⅳ 2.... by GONG Huanhuan, KE Xiaowei, WANG Aimin, LI Xiangmin

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A prediction model for prognosis of nephrotic syndrome with tuberculosis in intensive care unit patients: a nomogram based on the MIMIC-IV v2.2 database by Shenghua Du, Ning Su, Zhaoxian Yu, Junhong Li, Yingyi Jiang, Limeng Zeng, Jinxing Hu

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The association between hemoglobin A1c and all-cause mortality in the ICU: A cross-section study based on MIMIC-IV 2.0 by Chunxia Liu, Ke Pang, Jianbin Tong, Wen Ouyang, Liang Li, Yongzhong Tang

Subjects: “…the Medical Information Mart for Intensive Care…”
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A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure by Cida Luo, Yi Zhu, Zhou Zhu, Ranxi Li, Guoqin Chen, Zhang Wang

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In-Hospital Mortality Prediction Model for Critically Ill Older Adult Patients Transferred from the Emergency Department to the Intensive Care Unit by Lu Y, Ren C, Wu C

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A new in-hospital mortality prediction nomogram for intensive care unit patients with acute pancreatitis by Sheng Huang, Jiawei Ma, Huishui Dai, Liang Luo

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Clinical significance of the lactate-to-albumin ratio on prognosis in critically ill patients with acute kidney injury by Xiaoyun Shi, Lei Zhong, Jianhong Lu, Beiping Hu, Qikai Shen, Penghui Gao

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Impacts of eosinophil percentage on prognosis acute type A aortic dissection patients by Yue Shao, Liu Ye, Hao-ming Shi, Xin-mei Wang, Jun Luo, Lu Liu, Qing-chen Wu

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Histamine H2 receptor antagonist exhibited comparable all-cause mortality-decreasing effect as β-blockers in critically ill patients with heart failure: a cohort study by Xue-Sha Zhang, Xue-Sha Zhang, Wen-Ke Cai, Ping Wang, Ran Xu, Sun-Jun Yin, Yan-Hua Huang, Yu Guo, Yu Guo, Fang-Fang Jiang, Fang-Fang Jiang, Jian-Mei Pan, Jian-Mei Pan, Yi-Hua Li, Yi-Hua Li, Gong-Hao He

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Preoperative Glucose-to-Lymphocyte Ratio is an Independent Predictor for Acute Kidney Injury After Cardiac Surgery in Patients in Intensive Care Unit by Li L, Zou G, Liu J

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A nomogram for predicting early mortality in patients with traumatic brain injury requiring mechanical ventilation based on clinical laboratory data by Yan Lu, Haoyang Guo, ChaoLong Wu

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