Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study

T Dong, S Sinha, B Zhai, DP Fudulu, J Chan… - Digital …, 2023 - journals.sagepub.com
Objective The introduction of new clinical risk scores (eg European System for Cardiac
Operative Risk Evaluation (EuroSCORE) II) superseding original scores (eg EuroSCORE I) …

[HTML][HTML] Daytime and outcomes after cardiac surgery: systematic review and metaanalysis, insights from a large UK database review and post-hoc trial analysis

DP Fudulu, A Dimagli, L Dixon, M Sandhu… - The Lancet Regional …, 2021 - thelancet.com
Background Several studies have suggested a variation of myocardial tolerance to
ischaemia depending on the daytime of surgery. To test this hypothesis, we conducted a …

Machine learning applied to a Cardiac Surgery Recovery Unit and to a Coronary Care Unit for mortality prediction

B Nistal-Nuño - Journal of clinical monitoring and computing, 2022 - Springer
Most established severity-of-illness systems used for prediction of intensive care unit (ICU)
mortality were developed targeted at the general ICU population, based on logistic …

Risk factors of in-hospital mortality for isolated on-pump coronary artery bypass graft surgery in the northeast of Iran from 2007 to 2016

M Nomali, ME Heidari, A Ayati, K Moghaddam… - Irish Journal of Medical …, 2023 - Springer
Background and objective Coronary artery bypass graft (CABG) surgery is the most common
cardiac surgery worldwide. The reported mortality rates for this operation vary greatly. We …

Deep recurrent reinforced learning model to compare the efficacy of targeted local versus national measures on the spread of COVID-19 in the UK

T Dong, U Benedetto, S Sinha, D Fudulu, A Dimagli… - BMJ open, 2022 - bmjopen.bmj.com
Objectives To prevent the emergence of new waves of COVID-19 caseload and associated
mortalities, it is imperative to understand better the efficacy of various control measures on …

The Health Impact of Waiting for Elective Procedures in the NHS in England: A Modeling Framework Applied to Coronary Artery Bypass Graft and Total Hip …

NK Gibbs, S Griffin, N Gutacker… - Medical Decision …, 2024 - journals.sagepub.com
Introduction The aim of this study is to demonstrate a practical framework that can be applied
to estimate the health impact of changes in waiting times across a range of elective …

Performance drift is a major barrier to the safe use of machine learning in cardiac surgery

T Dong, S Sinha, B Zhai, DP Fudulu, J Chan… - medRxiv, 2023 - medrxiv.org
ABSTRACT Objectives The Society of Thoracic Surgeons (STS), and EuroSCORE II (ES II)
risk scores, are the most commonly used risk prediction models for adult cardiac surgery …

Socioeconomic status is associated with pediatric adenotonsillectomy outcomes: A single institution study

D Fenton, R Dimitroyannis, L Petrauskas… - International Journal of …, 2024 - Elsevier
Objective Our institution serves a diverse patient population across a large metropolitan city.
Literature has shown pediatric otolaryngology patients with lower socioeconomic status …

Kolkata-Coventry comparative registry study of acute heart failure: an insight into the impact of public, private and universal health systems on patient outcomes in low …

S Banerjee, SK Halder, P Kimani, P Tran, D Ali… - Open …, 2022 - openheart.bmj.com
Introduction Survival gaps in acute heart failure (AHF) continue to expand globally.
Multinational heart failure (HF) registries have highlighted variations between countries …

Elective surgery waiting time prioritisation to improve population health gains and reduce health inequalities

N Gibbs, S Griffin, N Gutacker, A Villasenor-Lopez… - 2024 - orda.shef.ac.uk
IntroductionWaiting times for elective procedures in the National Health Service (NHS) in
England have been increasing over time. If decision makers wish to prioritise efforts to …