Publications by authors named "C S Adams"

Background: Minimally invasive mitral valve repair (MIMVR), often performed within specialized care pathways, has been shown to reduce hospital length of stay and improve patient recovery. The relative value of rapid-recovery protocols as a component of care pathways, including enhanced recovery programs (ERPs), has not been well described. This study compared clinical outcomes following implementation of a new, comprehensive rapid-recovery protocol within a previously established, mature ERP for patients undergoing MIMVR.

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Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. We introduce "genome-wide association neural networks (GWANN)" a novel approach that uses neural networks (NNs) to perform a gene-level association study with family history of Alzheimer's disease (AD). In UK Biobank, we defined cases (n = 42 110) as those with AD or family history of AD and sampled an equal number of controls.

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Meckel's diverticulum (MD) is the most common gastrointestinal congenital anomaly of the small intestine. A small subset of patients with MD develops a mesodiverticular band (MDB), creating a snare-like opening and the potential for internal hernias (IHs). IHs are a known possible cause of small bowel obstructions and are most common in adults post bariatric surgery.

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Aims: This review aims to classify the evidence from randomised controlled trials (RCTs) on mental health services (MHS) for people with serious mental illness (SMI) available in the Cochrane Schizophrenia Group's (CSzG) specialised register.

Design: Scoping review.

Methods: We retrieved and screened RCTs of service-level interventions considering non-pharmacological approaches for mental healthcare of the CSzG register.

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The identification of tipping points is essential for the prediction of collapses or other sudden changes in complex systems. Applications include studies of ecology, thermodynamics, climatology, and epidemiology. However, detecting early signs of proximity to a tipping is made challenging by complexity and nonlinearity.

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