Publications by authors named "Risa Ozaki"

Objective: Patient-level simulation models, mainly developed in Western populations, capture complex interactions between risk factors and complications to predict the long-term effectiveness and cost-effectiveness of novel treatments and identify high-risk subgroups for personalized care. However, incidence of outcomes varies significantly by ethnicity and region. We used high-quality, patient-level register data to develop the Chinese Diabetes Outcomes Model (CDOM) for predicting incident and recurrent events in type 2 diabetes (T2D).

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Objective: We examined incremental healthcare costs (inpatient and outpatient) related to complications in Chinese patients with type 2 diabetes (T2D) during the year of occurrence and post-event years, utilizing the Joint Asia Diabetes Evaluation (JADE) Register cohort of Hong Kong Chinese patients with T2D between 2007 and 2019.

Research Design And Methods: 19,440 patients with T2D underwent structured evaluation utilizing the JADE platform with clinical outcomes data retrieved from territory-wide electronic medical records including inpatient, outpatient and emergency care. Two-part model was adopted to account for skewed healthcare costs distribution.

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Article Synopsis
  • Monogenic diabetes results from rare gene mutations affecting beta cell function, and this study examines how common variants may also influence young-onset type 2 diabetes (YOD) and related health issues.
  • Researchers created a weighted polygenic risk score (wPRS) using data from individuals with and without YOD to explore the association of 135 common variants across 34 monogenic diabetes genes.
  • The findings indicate that higher wPRS correlates with an increased likelihood of YOD and a higher risk for cardiovascular and kidney events in individuals with type 2 diabetes.
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Aims/hypothesis: Type 2 diabetes is a complex and heterogeneous disease and the aetiological components underlying the heterogeneity remain unclear in the Chinese and East Asian population. Therefore, we aimed to investigate whether specific pathophysiological pathways drive the clinical heterogeneity in type 2 diabetes.

Methods: We employed newly developed type 2 diabetes hard-clustering and soft-clustering pathway-specific polygenic risk scores (psPRSs) to characterise individual genetic susceptibility to pathophysiological pathways implicated in type 2 diabetes in 18,217 Chinese patients from Hong Kong.

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Aims/hypothesis: N-terminal pro B-type natriuretic peptide (NT-proBNP) is a natriuretic peptide that is strongly associated with congestive heart failure (CHF). The utility of NT-proBNP for prediction of cardiovascular events and renal endpoints, compared with clinical risk factors, has not been evaluated in detail. We hypothesise that NT-proBNP can improve risk stratification and prediction of cardiorenal events in type 2 diabetes, beyond that provided by clinical risk factors.

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Backgruound: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.

Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls).

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Article Synopsis
  • A new patient-centered, data-driven care model was developed and implemented to improve clinical outcomes for patients with young-onset type 2 diabetes (T2D), an area lacking well-established practice guidelines.
  • The study, part of a 3-year randomized controlled trial, involves a team-based management approach utilizing genetic markers and technology to tailor treatments for individuals diagnosed with T2D before the age of 40.
  • Out of 884 participants, those in the specialized JADE-PRISM group received more focused care, showing the potential for better management of complications and treatment goals compared to standard care protocols.
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Background: Psychosocial status and patient reported outcomes (PRO) [depression and health-related quality-of-life (HRQoL)] are major health determinants. We investigated the association between depression and clinical outcomes in Chinese patients with type 2 diabetes (T2D), adjusted for PRO.

Methods: Using prospective data from Hong Kong Diabetes Register (2013-2019), we estimated the hazard-ratio (HR, 95%CI) of depression (validated Patient Health Questionnaire 9 (PHQ-9) score≥7) with incident cardiovascular disease (CVD), ischemic heart disease (IHD), chronic kidney disease (CKD: eGFR<60 ml/min/1.

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Aims/hypothesis: The aim of this study was to describe the metabolome in diabetic kidney disease (DKD) and its association with incident CVD in type 2 diabetes, and identify prognostic biomarkers.

Methods: From a prospective cohort of individuals with type 2 diabetes, baseline sera (N=1991) were quantified for 170 metabolites using NMR spectroscopy with median 5.2 years of follow-up.

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Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals that have been linked to increased risk of gestational diabetes mellitus (GDM) and may affect glucose metabolisms during pregnancy. We examined the associations between maternal PFAS exposure and maternal glucose metabolisms and GDM risk among 1601 mothers who joined the Hyperglycaemia-and-Adverse-Pregnancy-Outcome (HAPO) Study in Hong Kong in 2001-2006. All mothers underwent a 75 g-oral-glucose-tolerance test at 24-32 weeks of gestation.

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Background: Patients with type 2 diabetes (T2D) are at high risk of developing multiple complications, affecting their health-related quality of life (HRQoL). Existing studies only considered impact of complication on HRQoL in the year of occurrence but not its residual impacts in subsequent years. We investigated temporal impacts of diabetes-related complications on HRQoL in a 12-year prospective cohort of ambulatory Chinese patients with T2D enrolled in the clinic-based Joint Asia Diabetes Evaluation (JADE) Register.

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Aims: We compared beta-cell function in Chinese with type 2 diabetes diagnosed at age < 40 years (young-onset diabetes, YOD) and ≥ 40 years (late-onset diabetes, LOD).

Methods: In this cross-sectional study, we selected participants from two cohorts of people with type 2 diabetes recruited in 1996-2012 (n = 4,376) and 2020-2021 (n = 794). Multivariable linear regression models were applied to compare homeostasis model assessment of beta-cell function (HOMA2-%B) and fasting plasma C-peptide across diabetes duration at enrolment between YOD and LOD.

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Objective: In this study we aim to unravel genetic determinants of coronary heart disease (CHD) in type 2 diabetes (T2D) and explore their applications.

Research Design And Methods: We performed a two-stage genome-wide association study for CHD in Chinese patients with T2D (3,596 case and 8,898 control subjects), followed by replications in European patients with T2D (764 case and 4,276 control subjects) and general populations (n = 51,442-547,261). Each identified variant was examined for its association with a wide range of phenotypes and its interactions with glycemic, blood pressure (BP), and lipid controls in incident cardiovascular diseases.

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Objective: We examined the associations of GAD antibodies (GADA) and C-peptide (CP) with insulin initiation, glycemic responses, and severe hypoglycemia in type 2 diabetes (T2D).

Research Design And Methods: In 5,230 Chinese patients (47.6% men) with T2D (mean ± SD age: 56.

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Article Synopsis
  • HDL particles (HDL-P) vary in size and composition, and their protective functions against cardiovascular disease (CVD) are affected by diabetes.
  • A study of 1,991 adults with type 2 diabetes found that small HDL-P were linked to lower risks of CVD and mortality, whereas very large HDL-P were associated with higher mortality risks.
  • Small HDL-P also provided valuable predictive insights for assessing risks of adverse outcomes in individuals with type 2 diabetes.
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Objective: To evaluate the effect of a team-based multi-component intervention care (MIC) program in obese patients with type 2 diabetes (T2D) and poor glycemic control.

Methods: Patients with T2D and HbA ≥ 8 % and body mass index (BMI) ≥ 27 kg/m and/or waist circumference ≥ 80 cm in women and ≥90 cm in men were recruited. The intervention in Diabetes Centre included 1) nurse-led, group-based workshops; 2) review by endocrinologists; 3) telephone reminders by healthcare assistants and 4) peer support during visits.

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Aims: We evaluated the effect of personalized risk counseling incorporating clinical and genetic risk factors on patient empowerment and risk factor control in diabetes.

Methods: Patients with type 2 diabetes (T2D) with suboptimal glycaemic control (HbA1c ≥ 7.5%) were randomized to a genetic counselling (GC) or control group.

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Importance: Diabetic kidney disease (DKD) and its comorbidities can be prevented by treating multiple targets. Technology-assisted team-based care with regular feedback and patient empowerment can improve the attainment of multiple targets and clinical outcomes in patients with type 2 diabetes, but the effects of this intervention on patients with DKD are unclear.

Objective: To evaluate the effect of the Joint Asia Diabetes Evaluation (JADE) web portal, nurse reminders, and team-based care on multiple risk factors in patients with DKD.

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We aim to assess the long-term impact of acute kidney injury (AKI) on progression of diabetic kidney disease (DKD) and all-cause mortality and investigate determinants of AKI in Chinese patients with type 2 diabetes (T2D). A consecutive cohort of 9,096 Chinese patients with T2D from the Hong Kong Diabetes Register was followed for 12 years (mean ± SD age 57 ± 13.2 years; 46.

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Rationale & Objective: Nonalbuminuric diabetic kidney disease (DKD) has become the prevailing DKD phenotype. We compared the risks of adverse outcomes among patients with this phenotype compared with other DKD phenotypes.

Study Design: Multicenter prospective cohort study.

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Background And Aims: Skin autofluorescence (SAF) can non-invasively assess the accumulation of tissue AGEs. We investigated the association between SAF and kidney dysfunction in participants with T2D.

Methods: Of 4030 participants consecutively measured SAF at baseline, 3725 participants free of end-stage kidney disease (ESKD) were included in the analyses.

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Aims: To investigate association between skin autofluorescence (SAF) and cardiovascular events (CVE) and assess its predictive value in Chinese adults with type 2 diabetes (T2D).

Materials And Methods: SAF was measured non-invasively in 3806 Chinese adults with T2D between 2016 and 2019 with CVE as primary endpoint and individual components as secondary endpoints. Cox proportional hazard models were used to examine associations between SAF and endpoints with adjustment for conventional risk factors.

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Introduction: To compare glycemic variability (GV) and time in range (TIR) in Chinese patients with type 2 diabetes (T2D) initiated on once-daily bedtime insulin glargine 300U/ml (Gla-300) versus neutral protamine Hagedorn (NPH) insulin using continuous glucose monitoring (CGM).

Methods: This was a 24-week, open-label exploratory study with 1:1 randomization comparing patient-adjusted titration of Gla-300 (n = 23) versus NPH (n = 23) at bedtime in insulin-naïve T2D patients on maximum oral glucose-lowering drugs. The starting dose was 0.

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Background: The clinical utility of personal genomic information in identifying individuals at increased risks for dyslipidemia and cardiovascular diseases remains unclear.

Methods: We used data from Biobank Japan (n = 70,657-128,305) and developed novel East Asian-specific genome-wide polygenic risk scores (PRSs) for four lipid traits. We validated (n = 4271) and subsequently tested associations of these scores with 3-year lipid changes in adolescents (n = 620), carotid intima-media thickness (cIMT) in adult women (n = 781), dyslipidemia (n = 7723), and coronary heart disease (CHD) (n = 2374 cases and 6246 controls) in type 2 diabetes (T2D) patients.

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Background: Diabetes outcomes are influenced by host factors, settings, and care processes. We examined the association of data-driven integrated care assisted by information and communications technology (ICT) with clinical outcomes in type 2 diabetes in public and private healthcare settings.

Methods And Findings: The web-based Joint Asia Diabetes Evaluation (JADE) platform provides a protocol to guide data collection for issuing a personalized JADE report including risk categories (1-4, low-high), 5-year probabilities of cardiovascular-renal events, and trends and targets of 4 risk factors with tailored decision support.

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