Publications by authors named "Liana Billings"

Introduction: ONWARDS 5 evaluated the effectiveness and safety of insulin icodec (icodec) titrated with a dosing guide app (icodec with app) versus once-daily insulin analogs in insulin-naive adults with type 2 diabetes. The insulin glargine U300 (glargine U300) stratum was too small to enable a robust post hoc efficacy comparison. Augmentation methodology was applied to increase the glargine U300 group size using real-world data (RWD), to facilitate efficacy comparisons of icodec with app versus glargine U300, and to demonstrate the potential of the augmentation methodology to strengthen underpowered treatment comparisons (AUGMENT study).

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Introduction: There are no established methods to identify children with atypical diabetes for further study. We aimed to develop strategies to systematically ascertain cases of atypical pediatric diabetes using electronic medical records (EMR).

Research Design And Methods: We tested two strategies in a large pediatric hospital in the USA.

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Atypical diabetes with overlapping clinical features of type 1 (T1D) and type 2 (T2D) is common and challenging diagnostically and for implementing effective treatment. Here, we validate a recently reported genetic probability of type 1 diabetes (GenProb-T1D) from the UK Biobank (UKB) for differentiating type 1 diabetes and type 2 diabetes in a diabetes patient cohort from a healthcare system-based biobank in the USA. Among 3,363 diabetes patients, we confirmed the performance of GenProb-T1D in differentiating typical type 1 diabetes vs type 2 diabetes.

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Partitioned polygenic scores (pPS) have been developed to capture pathophysiologic processes underlying type 2 diabetes (T2D). We investigated the association of T2D pPS with diabetes-related traits and T2D incidence in the Diabetes Prevention Program. We generated five T2D pPS (β-cell, proinsulin, liver/lipid, obesity, lipodystrophy) in 2,647 participants randomized to intensive lifestyle, metformin, or placebo arms.

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Article Synopsis
  • - The study investigates whether incorporating polygenic scores (PGS) for ischemic stroke (IS) and related diseases can enhance current risk assessments that mainly rely on clinical factors.
  • - Data from over 479,000 participants in the UK Biobank revealed that both traditional clinical variables and PGS were independently linked to IS risk, with the combined model showing a slight improvement in predictive accuracy.
  • - Although the addition of PGS to the clinical model improved risk classification, the overall increase in predictive power was modest, suggesting limited clinical utility for this approach.
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Background: Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients.

Methods: We searched PubMed and Embase for publications that used 'simple subclassification' approaches using simple categorisation of clinical characteristics, or 'complex subclassification' approaches which used machine learning or 'omics approaches in people with established type 2 diabetes.

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Article Synopsis
  • Precision medicine is an evolving approach in healthcare that aims to enhance decision-making and health outcomes, particularly in managing diabetes, which poses serious health risks for millions globally.
  • The second international consensus report on precision diabetes medicine reviews current findings on prevention, diagnosis, treatment, and prognosis across different forms of diabetes, highlighting the potential for translating research into clinical practice.
  • The report also identifies knowledge gaps and sets out key milestones for better clinical implementation, emphasizing the need for standards addressing cost-effectiveness, health equity, and accessibility in treatment options.
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Background: Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field.

Methods: Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2).

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Article Synopsis
  • * This study analyzed data from nearly 42,000 diabetes patients to evaluate the effectiveness of two polygenic scores (PGSs) in distinguishing between classic T1D and T2D, finding that these scores performed well with a high C statistic of 0.91.
  • * The results suggested that using these PGSs can identify patients with atypical diabetes who may actually have T1D, with 23% of such patients showing a higher probability of T1D based on genetic assessments
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Cancer-associated thrombosis (CAT) is common and associated with mortality. We estimated CAT rate by cancer sites and inherited factors among cancer patients from the UK Biobank (N =70,406). The 12-month CAT rate after cancer diagnosis was 2.

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Aim: To assess the effect of finerenone on the risk of cardiovascular and kidney outcomes in patients with chronic kidney disease and type 2 diabetes, with and without obesity.

Materials And Methods: A post hoc analysis of the prespecified pooled FIDELITY dataset assessed the association between waist circumference (WC), composite cardiovascular and kidney outcomes, and the effects of finerenone. Participants were stratified by WC risk groups (representing visceral obesity) as low-risk or high-very high-risk (H-/VH-risk).

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Heterogeneity in type 2 diabetes presentation, progression and treatment has the potential for precision medicine interventions that can enhance care and outcomes for affected individuals. We undertook a systematic review to ascertain whether strategies to subclassify type 2 diabetes are associated with improved clinical outcomes, show reproducibility and have high quality evidence. We reviewed publications that deployed 'simple subclassification' using clinical features, biomarkers, imaging or other routinely available parameters or 'complex subclassification' approaches that used machine learning and/or genomic data.

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Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and misclassification of diabetes type. One of the barriers to deploying genetic testing is uncertainty over whom to test as the clinical features for monogenic diabetes overlap with those for both type 1 and type 2 diabetes.

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Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of .

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Introduction: Use of continuous glucose monitoring (CGM) in people with diabetes may provide a more complete picture of glycemic control than glycated hemoglobin (HbA1c) measurements, which do not capture day-to-day fluctuations in blood glucose levels. The randomized, crossover, phase IV SWITCH PRO study assessed time in range (TIR), derived from CGM, following treatment with insulin degludec or insulin glargine U100 in patients with type 2 diabetes at risk for hypoglycemia. This post hoc analysis evaluated the relationship between TIR and HbA1c, following treatment intensification during the SWITCH PRO study.

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Background: Derived time in range (dTIR), calculated from self-monitored blood glucose (SMBG-dTIR) profiles, has demonstrated correlation with risk of cardiovascular and microvascular complications. This post hoc analysis of the DUAL V and DUAL VIII trials aimed to compare dTIR with an insulin degludec/liraglutide fixed-ratio combination (IDegLira) versus insulin glargine 100 units/mL (glargine U100) in people with type 2 diabetes (T2D).

Materials And Methods: Nine-point SMBG profiles were taken more than 24 hours at baseline and end of trial (EOT: 26 weeks [DUAL V] and 104 weeks [DUAL VIII]) and used to derive the percentage of readings within target range (70-180 mg/dL).

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Comorbid type 2 diabetes mellitus (T2D) and chronic kidney disease (CKD) is associated with poor health outcomes and a high economic burden. Management of these conditions remains a significant challenge for current healthcare systems. The objective of this article is to describe the experiences of patients living with T2D and CKD and their thoughts on how communication between patients and their clinicians could be improved despite the multiple comorbidities that need to be addressed.

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Aims: Numerous genes have been proposed as causal for maturity-onset diabetes of the young (MODY). Scoring systems to annotate mutation pathogenicity have been widely used; however, statistical evidence for being a highly penetrant MODY gene has not been well-established.

Methods: Participants were from the UK Biobank with whole-exome sequencing data, including 14,622 with and 185,509 without diagnosis of diabetes.

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Aims: Two fixed-ratio combinations (FRCs) of basal insulin and glucagon-like peptide-1 receptor agonist (GLP-1RA) are available for once-daily use in adults with type 2 diabetes. We aimed to review the clinical evidence for the efficacy and safety of changing treatment from a basal-bolus insulin (BBI) regimen or a premix insulin to these combination treatments (fixed-ratio or loose) and provide expert opinion on the practicalities of making such a change.

Methods: Relevant clinical and trial evidence and general review articles were identified through a literature review of ProQuest (comprising BIOSIS Previews®, Current Contents® Search, Embase® and MEDLINE®) for articles published between 2009 and 2021.

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Background: Sickle cell trait is typically considered benign. Although evidence remains inconsistent, recent studies suggest that it is associated with several common diseases. We systematically assessed associations of sickle cell trait with reported diseases in a large population-based cohort.

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Aims: To compare time in range (TIR) with use of insulin degludec U100 (degludec) versus insulin glargine U100 (glargine U100) in people with type 2 diabetes.

Materials And Methods: We conducted a randomized, crossover, multicentre trial comparing degludec and glargine U100 in basal insulin-treated adults with type 2 diabetes and ≥1 hypoglycaemia risk factor. There were two treatment periods, each with 16-week titration and 2-week maintenance phases (with evaluation of glucose using blinded professional continuous glucose monitoring).

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Primary care providers (PCPs) play an important role in providing medical care for patients with type 2 diabetes. Advancements in diabetes technologies can assist PCPs in providing personalised care that addresses each patient's individual needs. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems.

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Sickle cell trait (SCT) carriers inherit one copy of the Glu6Val mutation in the hemoglobin gene and is particularly common in Black individuals (5-10%). Considering the roles of hemoglobin in immune responses and the higher risk for coronavirus disease (COVID-19) among Black individuals, we tested whether Black SCT carriers were at increased risk for COVID-19 infection and mortality according to the United Kingdom Biobank. Among Black individuals who were tested for COVID-19, we found similar infection rates among SCT carriers (14/72; 19.

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