Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis

Y Zhang, W Xu, P Yang, A Zhang - BMC Medical Informatics and Decision …, 2023 - Springer
Background and objectives Sepsis is accompanied by a considerably high risk of mortality in
the short term, despite the availability of recommended mortality risk assessment tools …

Clinical characteristics and outcomes of critically ill patients with novel coronavirus infectious disease (COVID-19) in China: a retrospective multicenter study

J Xie, W Wu, S Li, Y Hu, M Hu, J Li, Y Yang… - Intensive care …, 2020 - Springer
Purpose An ongoing outbreak of coronavirus disease 2019 (COVID-19) emerged in Wuhan
since December 2019 and spread globally. However, information about critically ill patients …

Learning representations for the early detection of sepsis with deep neural networks

HJ Kam, HY Kim - Computers in biology and medicine, 2017 - Elsevier
Background Sepsis is one of the leading causes of death in intensive care unit patients.
Early detection of sepsis is vital because mortality increases as the sepsis stage worsens …

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis

WPTM van Doorn, PM Stassen, HF Borggreve… - PLoS …, 2021 - journals.plos.org
Introduction Patients with sepsis who present to an emergency department (ED) have highly
variable underlying disease severity, and can be categorized from low to high risk …

CKD and risk for hospitalization with infection: the atherosclerosis risk in communities (ARIC) study

J Ishigami, ME Grams, AR Chang, JJ Carrero… - American Journal of …, 2017 - Elsevier
Background Individuals on dialysis therapy have a high risk for infection, but risk for infection
in earlier stages of chronic kidney disease has not been comprehensively described. Study …

Association of household income level and in-hospital mortality in patients with sepsis: a nationwide retrospective cohort analysis

B Rush, K Wiskar, LA Celi, KR Walley… - Journal of intensive …, 2018 - journals.sagepub.com
Objective: Associations between low socioeconomic status (SES) and poor health outcomes
have been demonstrated in a variety of conditions. However, the relationship in patients with …

Relation of cardiovascular risk factors to mortality and cardiovascular events in hospitalized patients with coronavirus disease 2019 (from the Yale COVID-19 …

M Pareek, A Singh, L Vadlamani, M Eder… - The American Journal of …, 2021 - Elsevier
Individuals with established cardiovascular disease or a high burden of cardiovascular risk
factors may be particularly vulnerable to develop complications from coronavirus disease …

Association of severe mental illness and septic shock case fatality rate in patients admitted to the intensive care unit: A national population-based cohort study

I Lakbar, M Leone, V Pauly, V Orleans… - PLoS …, 2023 - journals.plos.org
Background Patients with severe mental illness (SMI)(ie, schizophrenia, bipolar disorder, or
major depressive disorder) have been reported to have excess mortality rates from infection …

Predictive validity of the sequential organ failure assessment score versus claims-based scores among critically ill patients

NA Bosch, AC Law, JM Rucci, D Peterson… - Annals of the …, 2022 - atsjournals.org
Methods We used the Premier, Inc. multicenter database (8)(2016–2020) to identify adult
patients admitted to intensive care units on Day 1 of admission. For each patient, we …

Neighborhood socioeconomic deprivation, healthcare access, and 30-day mortality and readmission after sepsis or critical illness: findings from a nationwide study

JB Lusk, B Blass, H Mahoney, MN Hoffman, AG Clark… - Critical Care, 2023 - Springer
Background To determine if neighborhood socioeconomic deprivation independently
predicts 30-day mortality and readmission for patients with sepsis or critical illness after …