Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions.

Objectives: Increasing operational pressures on emergency departments (ED) make it imperative to quickly and accurately identify patients requiring urgent clinical intervention. The widespread adoption of electronic health records (EHR) makes rich feature patient data sets more readily available. These large data stores lend themselves to use in modern machine learning (ML) models.

Regional differences in neo/adjuvant chemotherapy timing in patients with early-stage triple-negative breast cancer in England.

Purpose: Triple-negative breast cancer (TNBC) is an aggressive breast cancer histological type that is predictive of poor outcomes, shorter remission periods and reduced survival. TNBC is treated with surgery and neo/adjuvant chemotherapy, with evidence of association between longer periods from surgery to adjuvant chemotherapy (time to chemotherapy, TTC) and poorer survival outcomes. This study investigated regional differences in TTC period between regions and ethnic groups to evaluate equity of care in the English TNBC population.

The impact of inter-cycle treatment delays on overall survival in patients with advanced-stage ovarian cancer.

Introduction: Chemotherapy forms the cornerstone of systemic treatment for advanced ovarian cancer, extending overall survival; however, drug-related toxicity can lead to treatment delays, potentially diminishing treatment efficacy. This study evaluated the impact of treatment delays on all-cause mortality of patients with ovarian cancer, to better inform decisions on patient management.

Methods: This retrospective, population-based cohort study included 1517 women with advanced-stage ovarian cancer, receiving first-line adjuvant or neoadjuvant chemotherapy in 2014 and 2015.

The impact of inter-cycle treatment delays on 5-year all-cause mortality in early-stage breast cancer: A retrospective cohort study.

Background: Inter-cycle delays to chemotherapy are often required to manage drug toxicity. The impact of delays on mortality is poorly characterised. This retrospective cohort study examined the association of treatment delay with all-cause mortality in early-stage breast cancer.

Use of heart failure medical therapy before and after a cancer diagnosis: A longitudinal study.

Aims: We aim to evaluate change in the use of prognostic guideline-directed medical therapies (GDMTs) for heart failure (HF) before and after a cancer diagnosis as well as the matched non-cancer controls, including renin-angiotensin-system inhibitors (RASIs), beta-blockers, and mineralocorticoid receptor antagonists (MRAs).

Methods And Results: We conducted a longitudinal study in patients with HF in the UK Clinical Practice Research Datalink between 2005 and 2021. We selected patients with probable HF with reduced ejection fraction (HFrEF) based on diagnostic and prescription records.