The third international consensus definitions for sepsis and septic shock (Sepsis-3).

Cited by (264)

Items 201–264 of 264

1. Effect of dietary cellulose supplementation on gut barrier function and apoptosis in a murine model of endotoxemia
   Di Caro, Valentina, Alcamo, Alicia M., Cummings, Jessica L., Clark, Robert S. B., Novak, Elizabeth A., Mollen, Kevin P., Morowitz, Michael J., Aneja, Rajesh K. · 2019 · PLoS ONE
2. The ligand-gated ion channel P2X7 receptor mediates NLRP3/caspase-1-mediated pyroptosis in cerebral cortical neurons of juvenile rats with sepsis
   Sun, Xuemei, Zhou, Ruixi, Lei, Yupeng, Hu, Juan, Li, Xihong · 2020 · Brain Research
3. Epidemiology and outcomes of antibiotic De-escalation in patients with suspected Sepsis in US hospitals
   Kam, Kai Qian, Chen, Tom, Kadri, Sameer S, Lawandi, Alexander, Yek, Christina, Walker, Morgan, Warner, Sarah, Fram, David, Chen, Huai-Chun, Shappell, Claire N et al. · 2025 · Clinical Infectious Diseases
4. Innovations in vital signs measurement for the detection of hypertension and shock in pregnancy
   Vousden, Nicola, Nathan, Hannah L., Shennan, Andrew H. · 2018 · Reproductive Health
5. Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study
   Wang, Yiping, Gao, Zhihong, Zhang, Yang, Lu, Zhongqiu, Sun, Fangyuan · 2025 · Internal and Emergency Medicine
6. Iron status and the risk of sepsis and severe COVID-19: a two-sample Mendelian randomization study
   Mohus, Randi Marie, Flatby, Helene, Liyanarachi, Kristin V., DeWan, Andrew T., Solligård, Erik, Damås, Jan Kristian, Åsvold, Bjørn Olav, Gustad, Lise T., Rogne, Tormod · 2022 · Scientific Reports
7. Deep-Learning Model for Screening Sepsis Using Electrocardiography
   Kwon, Joon-myoung, Lee, Ye Rang, Jung, Min-Seung, Lee, Yoon-Ji, Jo, Yong-Yeon, Kang, Da-Young, Lee, Soo Youn, Cho, Yong-Hyeon, Shin, Jae-Hyun, Ban, Jang-Hyeon et al. · 2021 · Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
8. AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview
   Stylianides, Charithea, Nicolaou, Andria, Sulaiman, Waqar Aziz, Alexandropoulou, Christina-Athanasia, Panagiotopoulos, Ilias, Karathanasopoulou, Konstantina, Dimitrakopoulos, George, Kleanthous, Styliani, Politi, Eleni, Ntalaperas, Dimitris et al. · 2025 · Machine Learning and Knowledge Extraction
9. Enhanced meningeal lymphatic drainage ameliorates lipopolysaccharide-induced brain injury in aged mice
   Dong, Hongquan, Dai, Xiaonan, Zhou, Yin, Shi, Chonglong, Bhuiyan, Piplu, Sun, Zhaochu, Li, Nana, Jin, Wenjie · 2024 · Journal of Neuroinflammation
10. Transferability and interpretability of the sepsis prediction models in the intensive care unit
    Chen, Qiyu, Li, Ranran, Lin, ChihChe, Lai, Chiming, Chen, Dechang, Qu, Hongping, Huang, Yaling, Lu, Wenlian, Tang, Yaoqing, Li, Lei · 2022 · BMC Medical Informatics and Decision Making
11. Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study
    Li, Shuhe, Dou, Ruoxu, Song, Xiaodong, Lui, Ka, Xu, Jinghong, Guo, Zilu, Hu, Xiaoguang, Guan, Xiangdong, Cai, Changjie · 2023 · Journal of Clinical Medicine
12. Enteral nutrition in septic shock: A pathophysiologic conundrum
    Patel, Jayshil J., Shukla, Anuj, Heyland, Daren K. · 2021 · Journal of Parenteral and Enteral Nutrition
13. Integrating Federated Learning for Improved Counterfactual Explanations in Clinical Decision Support Systems for Sepsis Therapy
    Düsing, Christoph, Cimiano, Philipp, Rehberg, Sebastian, Scherer, Christiane, Kaup, Olaf, Köster, Christiane, Hellmich, Stefan, Herrmann, Daniel, Meier, Kirsten Laura, Claßen, Simon et al. · 2024 · Artificial Intelligence in Medicine
14. COVID-19: What type of cytokine storm are we dealing with?
    Monneret, Guillaume, Benlyamani, Ihsane, Gossez, Morgane, Bermejo‐Martin, Jesus F, Martín‐Fernandez, Marta, Sesques, Pierre, Wallet, Florent, Venet, Fabienne · 2021 · Journal of Medical Virology
15. Low-dose Dexamethasone Increases Autophagy in Cerebral Cortical Neurons of Juvenile Rats with Sepsis Associated Encephalopathy
    Zhou, Ruixi, Sun, Xuemei, Li, Yuyao, Huang, Qun, Qu, Yi, Mu, Dezhi, Li, Xihong · 2019 · Neuroscience
16. The pannexin-1 channel regulates pyroptosis through autophagy in a mouse model of sepsis-associated encephalopathy
    Lei, Yupeng, Zhou, Ruixi, Sun, Xuemei, Tang, Fajuan, Gao, Hu, Chen, Lin, Li, Xihong · 2021 · Annals of Translational Medicine
17. Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model
    Wong, Andrew, Currey, Danielle, Schwinne, Megan, Park-Egan, Brenna, Meyer, Sean, Gutting, Andrew, Cao, Jie, Khan, Sharaf, Dantes, Raymund, Pan, Tony et al. · 2026 · JAMA Network Open
18. Effects of S100B neutralization on the long-term cognitive impairment and neuroinflammatory response in an animal model of sepsis
    Rocha, Mariane, Vieira, Andriele, Michels, Monique, Borges, Heloisa, Goulart, Amanda, Fernandes, Filipe, Dominguini, Diogo, Ritter, Cristiane, Dal-Pizzol, Felipe · 2021 · Neurochemistry International
19. Enhancing sepsis management through machine learning techniques: A review
    Ocampo-Quintero, N., Vidal-Cortés, P., del Río Carbajo, L., Fdez-Riverola, F., Reboiro-Jato, M., Glez-Peña, D. · 2022 · Medicina Intensiva
20. Causal associations of gut microbiota and metabolites on sepsis: a two-sample Mendelian randomization study
    Zhao, Jian, Pan, Xin, Hao, Di, Zhao, Yi, Chen, Yuanzhuo, Zhou, Shuqin, Peng, Hu, Zhuang, Yugang · 2023 · Frontiers in Immunology
21. Usefulness of damage control approach in patients with limited acute mesenteric ischemia: A prospective study of 85 patients
    Brillantino, Antonio, Lanza, Michele, Antropoli, Massimo, Amendola, Alfonso, Squillante, Simone, Bottino, Vincenzo, Renzi, Adolfo, Castriconi, Maurizio · 2022 · Updates in Surgery
22. The Relationship Between Index Hospitalizations, Sepsis, and Death or Transition to Hospice Care During 30-Day Hospital Readmissions
    Dietz, Brett W., Jones, Tiffanie K., Small, Dylan S., Gaieski, David F., Mikkelsen, Mark E. · 2017 · Medical Care
23. Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study
    Jiang, Shan, Dai, Shuai, Li, Yulin, Zhou, Xianlong, Jiang, Cheng, Tian, Cong, Yuan, Yana, Li, Chengwei, Zhao, Yan · 2025 · EClinicalMedicine
24. Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study
    Aguirre, Urko, Urrechaga, Eloísa · 2023 · Clinical Chemistry and Laboratory Medicine (CCLM)
25. Endothelial glycocalyx-associated molecules as potential serological markers for sepsis-associated encephalopathy: A systematic review and meta-analysis
    Baby, Sheon, Reljic, Tea, Villalba, Nuria, Kumar, Ambuj, Yuan, Sarah Y. · 2023 · PLOS ONE
26. Protective effect of gut microbiota restored by fecal microbiota transplantation in a sepsis model in juvenile mice
    Han, Young Joo, Kim, SungSu, Shin, Haksup, Kim, Hyun Woo, Park, June Dong · 2024 · Frontiers in Immunology
27. On Missingness Features in Machine Learning Models for Critical Care: Observational Study
    Singh, Janmajay, Sato, Masahiro, Ohkuma, Tomoko · 2021 · JMIR Medical Informatics
28. Interpretable Machine Learning to Optimize Early In-Hospital Mortality Prediction for Elderly Patients with Sepsis: A Discovery Study
    Ke, Xiaowei, Zhang, Fangjie, Huang, Guoqing, Wang, Aimin · 2022 · Computational and Mathematical Methods in Medicine
29. Severe falciparum malaria in pregnancy in Southeast Asia: a multi-centre retrospective cohort study
    Saito, Makoto, Phyo, Aung Pyae, Chu, Cindy, Proux, Stephane, Rijken, Marcus J., Beau, Candy, Win, Htun Htun, Archasuksan, Laypaw, Wiladphaingern, Jacher, Phu, Nguyen H. et al. · 2023 · BMC Medicine
30. Impact of frailty on do-not-resuscitate orders and healthcare transitions among elderly Koreans with pneumonia
    Choi, Jung-Yeon, Kim, Sun-wook, Yoon, Sol-Ji, Kang, Min-gu, Kim, Kwang-il, Kim, Cheol-Ho · 2018 · Clinical Interventions in Aging
31. Sepsis - the broken code how accurately is sepsis being diagnosed?
    Tidswell, Robert, Parker, Thomas, Brealey, David, Singer, Mervyn · 2020 · Journal of Infection
32. Propofol and Dexmedetomidine Ameliorate Endotoxemia-Associated Encephalopathy via Inhibiting Ferroptosis
    Zhou, Ye, Yang, Yangliang, Yi, Liang, Pan, Mengzhi, Tang, Weiqing, Duan, Hongwei · 2024 · Drug Design, Development and Therapy
33. Neuronal MD2 induces long-term mental impairments in septic mice by facilitating necroptosis and apoptosis
    Fan, Zhongmin, Ma, Hongwei, Li, Yi, Wu, You, Wang, Jiajia, Xiong, Lize, Fang, Zongping, Zhang, Xijing · 2022 · Frontiers in Pharmacology
34. The aetiology and antimicrobial resistance of bacterial maternal infections in Sub-Saharan Africa—a systematic review and meta-analysis
    Chapuma, Chikondi, Twabi, Hussein H., Monk, Edward J. M., Jafali, James, Weeks, Andrew, Beales, Emily, Kulapani, David, Selemani, Apatsa, Nliwasa, Marriott, Gadama, Luis et al. · 2024 · BMC Infectious Diseases
35. Implementation and evaluation of sepsis surveillance and decision support in medical ICU and emergency department
    Lipatov, Kirill, Daniels, Craig E., Park, John G., Elmer, Jennifer, Hanson, Andrew C., Madsen, Bo E., Clements, Casey M., Gajic, Ognjen, Pickering, Brian W., Herasevich, Vitaly · 2022 · The American Journal of Emergency Medicine
36. An Explainable Machine Learning Model for Early Prediction of Sepsis Using ICU Data
    Nesaragi, Naimahmed, Patidar, Shivnarayan · 2021 · Infections and Sepsis Development
37. Alert to Action: Implementing Artificial Intelligence–Driven Clinical Decision Support Tools for Sepsis
    Fixler, Alexander, Oliaro, Blake, Frieden, Marshall, Girardo, Christopher, Winterbottom, Fiona A., Fort, Lisa B., Hill, Jason · 2023 · Ochsner Journal
38. Relationship between Nonhepatic Serum Ammonia Levels and Sepsis-Associated Encephalopathy: A Retrospective Cohort Study
    Wang, Pei, Yan, Jia, Shi, Qiqing, Yang, Fei, Li, Xuguang, Shen, Yuehao, Liu, Haiying, Xie, Keliang, Zhao, Lina · 2023 · Emergency Medicine International
39. Explainable AI for critical care: a systematic review of interpretable models for sepsis and ICU mortality prediction
    Athukorala, V. S., Ilmini, W. M. K. S. · 2026 · BMC Medical Informatics and Decision Making
40. Gender-related differences in the performance of sequential organ failure assessment (SOFA) to predict septic shock after percutaneous nephrolithotomy
    Shen, Rong, Zhang, Wei, Ming, Shaoxiong, Li, Ling, Peng, Yonghan, Gao, Xiaofeng · 2021 · Urolithiasis
41. Molecular control of PDPNhi macrophage subset induction by ADAP as a host defense in sepsis
    Zhang, Pengchao, Wang, Xinning, Yang, Xiaodong, Liu, Hebin · 2025 · JCI Insight
42. Early prediction of mortality after birth asphyxia with the nSOFA
    Dathe, Anne-Kathrin, Stein, Anja, Bruns, Nora, Craciun, Elena-Diana, Tuda, Laura, Bialas, Johanna, Brasseler, Maire, Felderhoff-Mueser, Ursula, Huening, Britta M. · 2023 · Journal of Clinical Medicine
43. Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation study
    Walston, Shannon L, Matsumoto, Toshimasa, Miki, Yukio, Ueda, Daiju · 2022 · The British Journal of Radiology
44. CD137L Inhibition Ameliorates Hippocampal Neuroinflammation and Behavioral Deficits in a Mouse Model of Sepsis-Associated Encephalopathy
    Qiu, Fang, Liu, Yueming, Liu, Yang, Zhao, Zhuyun, Zhou, Lile, Chen, Pengfei, Du, Yunbo, Wang, Yanmei, Sun, Huimin, Zeng, Changchun et al. · 2023 · NeuroMolecular Medicine
45. Transcript and Lipid Profile Alterations in Astrocyte‐Neuron Mitochondrial Transfer Under Lipopolysaccharide Exposure: An In Vitro Study
    Kan, Yufei, Wang, Hong, Lin, Huaying, Li, Yongfa, Pei, Shuaijie, Cui, Yan, Xie, Keliang, Chen, Hongguang, Yu, Yonghao · 2025 · Journal of Neurochemistry
46. The brain washing system in sepsis-associated encephalopathy
    Chen, Tao, Hu, Jiyun, Liao, Ya, Xie, Shucai, Zhang, Lina · 2025 · Journal of Neuroinflammation
47. Increased Interleukin-17-Producing γδT Cells in the Brain Exacerbate the Pathogenesis of Sepsis-Associated Encephalopathy and Sepsis-Induced Anxiety in Mice
    Moriyama, Naoki, Saito, Masafumi, Ono, Yuko, Yamashita, Kimihiro, Aoi, Takashi, Kotani, Joji · 2023 · Journal of Clinical Medicine
48. MiRNA-494 specifically inhibits SIRT3-mediated microglia activation in sepsis-associated encephalopathy
    He, Chuanjiang, Aziguli, Abudureheman, Zhen, Jilun, Jiao, Ajin, Liao, Hongli, Du, Chunhui, Liu, Wen, Aihemaitijiang, Kaisaier, Xu, Aimin · 2022 · Translational Cancer Research
49. Assessment of the timeliness and robustness for predicting adult sepsis
    Guan, Yuanfang, Wang, Xueqing, Chen, Xianghao, Yi, Daiyao, Chen, Luyao, Jiang, Xiaoqian · 2021 · iScience
50. Geranylgeranylacetone mitigates sepsis-associated intestinal injury through CHIP-dependent anti-inflammation and anti-oxidative effect
    Liu, Xin, Liu, Yingwen, Su, Xingyu, Jiang, Lucen, Tang, Guoqing, Wang, Yiyang · 2024 · International Immunopharmacology
51. Immediate postoperative parenteral anticoagulant therapy in patients with mesenteric ischemia after intestinal resection: a retrospective cohort study at a single institute
    Liu, Hsiao-Tien, Lai, Chia-Yu, Liao, Jian-Jhou, Chen, Yi-Ju, Cheng, Shao-Bin, Wu, Cheng-Chung · 2023 · BMC Gastroenterology
52. Machine learning predicts sepsis deterioration trajectories.
    Zhang, Rui, Long, Fang, Zhao, Zhanqi, Wu, Jingyi, Tan, Ruoming, Xu, Wen, Li, Lei, Long, Yun, Qu, Hongping · 2026 · NPJ Digital Medicine
53. Integrated multi omics and machine learning reveal mitochondrial immunometabolic networks in sepsis associated encephalopathy
    Zhang, Zhenze, Qiu, Xinliang, Zeng, Xing, Liu, Xinhai, Lu, Jiali, Xu, Caixue, Huang, Jing, Zhao, Caiqing, Zhan, Yian · 2025 · Scientific Reports
54. An Autophagy-Associated MITF–GAS5–miR-23 Loop Attenuates Vascular Oxidative and Inflammatory Damage in Sepsis
    Cheng, Junning, Ding, Chang, Tang, Huying, Zhou, Haonan, Wu, Mingdong, Chen, Yikuan · 2023 · Biomedicines
55. Validation and comparison of triage-based screening strategies for sepsis
    Rahmati, Kasra, Brown, Samuel M., Bledsoe, Joseph R., Passey, Paul, Taillac, Peter P., Youngquist, Scott T., Samore, Matthew M., Hough, Catherine L., Peltan, Ithan D. · 2024 · The American Journal of Emergency Medicine
56. The impact of enteral feeding intolerance on the prognosis of patients with septic shock in South Korea
    Park, Hyun-Jun, Ahn, Yoon Hae, Lee, Hong Yeul, Lee, Sang-Min, Lee, Jinwoo · 2025 · Acute and Critical Care
57. Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians
    Catling, Finneas JR, Nagendran, Myura, Festor, Paul, Bien, Zuzanna, Harris, Steve, Faisal, A Aldo, Gordon, Anthony C, Komorowski, Matthieu · 2023
58. Risk prediction models for sepsis-associated encephalopathy: A systematic evaluation and meta-analysis
    He, Ting ting, Jiao, Tuo quan, An, Xue mei · 2026 · PeerJ
59. Antibiotic de-escalation practices in the intensive care unit: a multicenter observational study
    Patanwala, Asad E, Abu Sardaneh, Arwa, Alffenaar, Jan-Willem C, Choo, Chui Lynn, Dey, Alexandra L, Duffy, Eamon J, Green, Sarah E, Hills, Thomas E, Howle, Lisa M, Joseph, Jessica A et al. · 2025 · Annals of Pharmacotherapy
60. Acute management of sepsis beyond 24 hours
    Premachandra, Antoine, Heming, Nicholas · 2024 · Seminars in Respiratory and Critical Care Medicine
61. Progress on the correlation between sepsis and gut microbiota: a narrative review
    Yuan, Yaning, Li, Jiawei, Yang, Cheng · 2026 · Frontiers in microbiology
62. Artificial Intelligence to Facilitate SEP-1 Measure Compliance and Fluid Management in Sepsis
    Nguyen, H. Bryant, Krishtopaytis, Eduard, Lopez, Enrique, Farnoudi, Neeka, Van, Trinity, Kharalampova, Viktoriia, Coz Yataco, Angel · 2026 · Journal of Clinical Medicine
63. Day-4 antipseudomonal and anti-MRSA de-escalation was not associated with higher mortality in critically ill patients with sepsis
    Zhang, Yuhang, Liao, Guoying, Song, Jianli, Liao, Yinsheng, Zhang, Lulu · 2026 · Frontiers in Medicine
64. Clinical and Pathogenic Characteristics of 45 Cases of Bloodstream Infection in Obstetrics: A Clinical Analysis
    Xie, Jing, Zhu, Ling, Wu, Ting, Li, Guanglin · 2026 · Infection and Drug Resistance