Prevalence of antibiotic-resistant pathogens in culture-proven sepsis and outcomes associated with inadequate and broad-spectrum empiric antibiotic use

C Rhee, SS Kadri, JP Dekker, RL Danner… - JAMA network …, 2020 - jamanetwork.com
Importance Broad-spectrum antibiotics are recommended for all patients with suspected
sepsis to minimize the risk of undertreatment. However, little is known regarding the net …

Equitably allocating resources during crises: racial differences in mortality prediction models

DC Ashana, GL Anesi, VX Liu, GJ Escobar… - American journal of …, 2021 - atsjournals.org
Rationale: Crisis standards of care (CSCs) guide critical care resource allocation during
crises. Most recommend ranking patients on the basis of their expected in-hospital mortality …

Machine learning for predicting cardiac events: what does the future hold?

B Patel, P Sengupta - Expert review of cardiovascular therapy, 2020 - Taylor & Francis
Introduction: With the increase in the number of patients with cardiovascular diseases, better
risk-prediction models for cardiovascular events are needed. Statistical-based risk …

REVeAL-HF: design and rationale of a pragmatic randomized controlled trial embedded within routine clinical practice

T Ahmad, Y Yamamoto, A Biswas, L Ghazi, M Martin… - Heart Failure, 2021 - jacc.org
Heart failure (HF) is one of the most common causes of hospitalization in the United States
and carries a significant risk of morbidity and mortality. Use of evidence-based interventions …

Artificial intelligence algorithm for predicting mortality of patients with acute heart failure

J Kwon, KH Kim, KH Jeon, SE Lee, HY Lee, HJ Cho… - PloS one, 2019 - journals.plos.org
Aims This study aimed to develop and validate deep-learning-based artificial intelligence
algorithm for predicting mortality of AHF (DAHF). Methods and results 12,654 dataset from …

Performance of prognostic risk scores in chronic heart failure patients enrolled in the European Society of Cardiology Heart Failure Long-Term Registry

M Canepa, C Fonseca, O Chioncel, C Laroche… - JACC: Heart Failure, 2018 - jacc.org
Objectives: This study compared the performance of major heart failure (HF) risk models in
predicting mortality and examined their utilization using data from a contemporary …

[HTML][HTML] A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set

L Rasmy, Y Wu, N Wang, X Geng, WJ Zheng… - Journal of biomedical …, 2018 - Elsevier
Recently, recurrent neural networks (RNNs) have been applied in predicting disease onset
risks with Electronic Health Record (EHR) data. While these models demonstrated …

Sepsis surveillance using adult sepsis events simplified eSOFA criteria versus sepsis-3 sequential organ failure assessment criteria

C Rhee, Z Zhang, SS Kadri, DJ Murphy… - Critical care …, 2019 - journals.lww.com
Objectives: Sepsis-3 defines organ dysfunction as an increase in the Sequential Organ
Failure Assessment score by greater than or equal to 2 points. However, some Sequential …

Epidemiology of hospital-onset versus community-onset sepsis in US hospitals and association with mortality: a retrospective analysis using electronic clinical data

C Rhee, R Wang, Z Zhang, D Fram, SS Kadri… - Critical care …, 2019 - journals.lww.com
Objectives: Prior studies have reported that hospital-onset sepsis is associated with higher
mortality rates than community-onset sepsis. Most studies, however, have used inconsistent …

Social determinants of health and 90‐day mortality after hospitalization for heart failure in the REGARDS study

MR Sterling, JB Ringel, LC Pinheiro… - Journal of the …, 2020 - Am Heart Assoc
Background Outcomes following heart failure (HF) hospitalizations are poor, with 90‐day
mortality rates of 15% to 20%. Although prior studies found associations between individual …