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  1. Article ; Online: Impact of hypoglycemia at the time of hospitalization for heart failure from emergency department on major adverse cardiovascular events in patients with and without type 2 diabetes.

    Cha, Seon-Ah / Yun, Jae-Seung / Kim, Gee-Hee / Ahn, Yu-Bae

    Cardiovascular diabetology

    2022  Volume 21, Issue 1, Page(s) 218

    Abstract: Background: Few studies have examined the association between hypoglycemic episodes among people with type 2 diabetes (T2DM) at the time of hospitalization for heart failure (HF) and cardiovascular outcomes.: Methods: From March 2016 to June 2018, we ...

    Abstract Background: Few studies have examined the association between hypoglycemic episodes among people with type 2 diabetes (T2DM) at the time of hospitalization for heart failure (HF) and cardiovascular outcomes.
    Methods: From March 2016 to June 2018, we conducted a retrospective cohort study to investigate hypoglycemia during HF hospitalization in the emergency department, three-point major adverse cardiovascular events (3P-MACE), and all-cause mortality; these were followed up through June 2021. HF hospitalization was defined according to American Heart Association criteria. Hypoglycemia was defined as a glucose level < 3.9 mmol/L at the time of HF hospitalization. We classified the enrolled patients into three groups (reference group, those without T2DM or hypoglycemia; those diagnosed with T2DM without hypoglycemia; and those with hypoglycemia and T2DM). We used Cox proportional hazard regression analysis to investigate the association between the three groups and the development of the first occurrence of 3P-MACE and all-cause mortality.
    Results: During a median of 25 months of follow-up, a total of 783 patients admitted due to HF were analyzed. In total, 159 (20.3%) cases of 3P-MACE were identified, and the mortality rate was 20.2% (n = 158). The median age of patients was 76.0 (65.0-82.0) years, and 49.0% were men. Patients with 3P-MACE had a lower body mass index (22.6 [20.4-25.1] vs. 23.8 [21.3-26.7]), higher frequency of previous history of HF (24.5% vs. 15.7%), T2DM (64.2% vs. 47.3%), higher rates of hypoglycemia at the time of HF hospitalization (19.5% vs. 7.7%), and lower eGFR levels (61.1 [36.0-80.7] mL/min/1.73 m<sup>2</sup> vs. 69.2 [45.8-89.5] mL/min/1.73 m<sup>2</sup>) than those without 3P-MACE. The multivariable adjusted HR of 3P-MACE was as follows: group with hypoglycemia and T2DM: HR, 2.29; 95% CI: 1.04-5.06; group with T2DM without hypoglycemia: HR: 1.42; 95% CI: 0.86-2.33; and all-cause mortality group with hypoglycemia and T2DM: HR: 2.58; 95% CI: 1.26-5.31, group with T2DM without hypoglycemia: HR: 1.32; 95% CI: 0.81-2.16; compared to the reference group (group without T2DM or hypoglycemia).
    Conclusions: T2DM and hypoglycemia are independent risk factors for 3P-MACE and all-cause mortality compared to those without hypoglycemia during HF hospitalization.
    MeSH term(s) Male ; Humans ; Aged ; Aged, 80 and over ; Female ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/epidemiology ; Retrospective Studies ; Hypoglycemia/diagnosis ; Hypoglycemia/therapy ; Hypoglycemia/chemically induced ; Heart Failure/diagnosis ; Heart Failure/epidemiology ; Heart Failure/therapy ; Hospitalization ; Hypoglycemic Agents/adverse effects ; Emergency Service, Hospital ; Glucose ; Cardiovascular Diseases/epidemiology
    Chemical Substances Hypoglycemic Agents ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2022-10-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-022-01651-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Associations of polyneuropathy with risk of all-cause and cardiovascular mortality, cardiovascular disease events stratified by diabetes status.

    Kim, Kyuho / Lee, Su-Nam / Ahn, Yu-Bae / Ko, Seung-Hyun / Yun, Jae-Seung

    Journal of diabetes investigation

    2023  Volume 14, Issue 11, Page(s) 1279–1288

    Abstract: Aims/introduction: We investigated the association of polyneuropathy (PN) with all-cause and cardiovascular (CV) mortality and with cardiovascular disease (CVD) events stratified by diabetes status.: Materials and methods: This prospective cohort ... ...

    Abstract Aims/introduction: We investigated the association of polyneuropathy (PN) with all-cause and cardiovascular (CV) mortality and with cardiovascular disease (CVD) events stratified by diabetes status.
    Materials and methods: This prospective cohort study used the UK Biobank. Polyneuropathy was defined based on nurse-led interviews or ICD codes for polyneuropathy. Cox proportional hazards models were used to investigate the association of polyneuropathy with clinical outcomes.
    Results: A total of 459,127 participants were included in the analysis. Polyneuropathy was significantly associated with all-cause and cardiovascular mortality, and with CVD events even after adjusting for CVD risk factors across all diabetes statuses. Metabolic parameters HbA
    Conclusions: Polyneuropathy was associated with all-cause and cardiovascular mortality, and with CVD events in subjects with diabetes or prediabetes, even those having normal glucose tolerance. This study suggests the importance of polyneuropathy as a risk factor for death and highlights the necessity of early diagnosis and lifestyle intervention for those with type 2 diabetes and polyneuropathy.
    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/complications ; Cardiovascular Diseases/complications ; Cardiovascular Diseases/epidemiology ; Prospective Studies ; Risk Factors ; Polyneuropathies
    Language English
    Publishing date 2023-07-30
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2625840-7
    ISSN 2040-1124 ; 2040-1116
    ISSN (online) 2040-1124
    ISSN 2040-1116
    DOI 10.1111/jdi.14063
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Pancreatic stellate cells promote pancreatic β-cell death through exosomal microRNA transfer in hypoxia.

    Lee, Esder / Ryu, Gyeong Ryul / Ko, Seung-Hyun / Ahn, Yu-Bae / Song, Ki-Ho

    Molecular and cellular endocrinology

    2023  Volume 572, Page(s) 111947

    Abstract: Hypoxia in pancreatic islets (islet hypoxia) can occur in type 2 diabetes mellitus. Previously, our in vitro experiments demonstrated that pancreatic stellate cells (PSCs) within the islet are activated in hypoxia, promoting pancreatic β-cell death. Here, ...

    Abstract Hypoxia in pancreatic islets (islet hypoxia) can occur in type 2 diabetes mellitus. Previously, our in vitro experiments demonstrated that pancreatic stellate cells (PSCs) within the islet are activated in hypoxia, promoting pancreatic β-cell death. Here, we aimed to demonstrate the in vivo activation of intra-islet PSCs and investigate the mechanism of PSC-induced β-cell death in hypoxia. A novel in vivo model of islet hypoxia was established by injecting fluorescent microspheres into a carotid artery of Balb/c mice (Microsphere mice). The intraperitoneal glucose tolerance (IPGTT) was performed, and pancreatic tissues were stained for insulin expression after tissue clearing. Pimonidazole staining was also performed in the pancreas to detect the presence of hypoxia in islets. Next, primary PSCs were isolated and cultured from Balb/c mice. Exosomes were isolated from culture media from PSCs cultured in hypoxia (1% oxygen). MicroRNAs (miRNAs) were prepared from exosomes from PSCs, and miRNA expression profiles were analyzed by miRNA sequencing. Several miRNAs were overexpressed in islets using miRNA mimics. Two weeks after injection of microspheres, the Microsphere mice showed worsening of glucose tolerance in IPGTT. Later, cataracts were developed in the eyes of the mice. The pancreas showed that the areas, perimeters, and diameters of insulin-positive cells decreased in Microsphere mice. Pimonidazole adducts were detected in the islets of these mice, indicating the presence of islet hypoxia. In addition, α-smooth muscle actin-positive cell numbers per islet were higher in Microsphere mice, confirming the in vivo activation of intra-islet PSCs in hypoxia. Mouse islets incubated with exosomes isolated from PSCs cultured in hypoxia showed a decrease in cell viability. The exosomes contained a variety of miRNAs, of which miR-23a-3p was found to notably increase β-cell death through apoptosis. Together, our in vivo and in vitro data provide evidence to support that PSCs within the islets are activated in hypoxia and promote β-cell death through exosomal miRNA transfer, which may contribute to the progression of type 2 diabetes mellitus.
    MeSH term(s) Mice ; Animals ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Diabetes Mellitus, Type 2/metabolism ; Pancreatic Stellate Cells/metabolism ; Islets of Langerhans/metabolism ; Insulin/metabolism ; Glucose/metabolism ; Hypoxia/metabolism ; Cell Death
    Chemical Substances MicroRNAs ; pimonidazole (46JO4D76R2) ; Insulin ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2023-05-05
    Publishing country Ireland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 187438-x
    ISSN 1872-8057 ; 0303-7207
    ISSN (online) 1872-8057
    ISSN 0303-7207
    DOI 10.1016/j.mce.2023.111947
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The impact of diabetes status on total and site-specific cancer risk in the elderly population: A nationwide cohort study.

    Kim, Kyuho / Kim, Bongseong / Kim, Hyunho / Park, Hyung Soon / Ahn, Yu-Bae / Ko, Seung-Hyun / Han, Kyungdo / Yun, Jae-Seung

    Diabetes research and clinical practice

    2023  Volume 203, Page(s) 110866

    Abstract: Aims: We aimed to evaluate the association of prediabetes, diabetes, and diabetes duration with risk of total and site-specific cancer in the Korean population aged 65 years and above.: Methods: This study included 1,232,173 subjects aged ≥ 65 years ... ...

    Abstract Aims: We aimed to evaluate the association of prediabetes, diabetes, and diabetes duration with risk of total and site-specific cancer in the Korean population aged 65 years and above.
    Methods: This study included 1,232,173 subjects aged ≥ 65 years who underwent a general health screening program. Diabetes status was categorized as normal glucose tolerance, impaired fasting glucose, new-onset diabetes, diabetes duration of < 5 years, and diabetes duration of ≥ 5 years. Cox proportional hazards models were used to investigate the association of diabetes status with cancer risk.
    Results: The risk of total cancer increased as diabetes status worsened, as did the risks of liver, biliary, and pancreatic cancer. Risks of liver, biliary, and pancreatic cancer were significantly higher in subjects aged 65-74 years than in those aged ≥ 75 years. The relationship of diabetes status with overall cancer incidence was found to significantly interact with sex. Among subjects with diabetes, the risks of liver and lung cancer were significantly higher in men than in women regardless of diabetes duration.
    Conclusions: Diabetes status is associated with increased risk of cancer in the elderly. There are age and sex differences in the risk of total and site-specific cancers, including liver, biliary, and pancreatic cancer. This study highlights the importance of cancer screening for elderly subjects with diabetes.
    Language English
    Publishing date 2023-08-01
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632523-3
    ISSN 1872-8227 ; 0168-8227
    ISSN (online) 1872-8227
    ISSN 0168-8227
    DOI 10.1016/j.diabres.2023.110866
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus.

    Kim, Kyuho / Yun, Jae-Seung / Lee, Joonyub / Yang, Yeoree / Lee, Minhan / Ahn, Yu-Bae / Cho, Jae Hyoung / Ko, Seung-Hyun

    Endocrinology and metabolism (Seoul, Korea)

    2023  Volume 39, Issue 2, Page(s) 344–352

    Abstract: Backgruound: This study investigated the effectiveness of a social networking site (SNS)-based automatic mobile message providing system on glycemic control in patients with type 2 diabetes mellitus (T2DM).: Methods: A 3-month, randomized, open-label, ...

    Abstract Backgruound: This study investigated the effectiveness of a social networking site (SNS)-based automatic mobile message providing system on glycemic control in patients with type 2 diabetes mellitus (T2DM).
    Methods: A 3-month, randomized, open-label, controlled, parallel-group trial was conducted. One hundred and ten participants with T2DM were randomized to a mobile message system (MMS) (n=55) or control group (n=55). The MMS group received protocolbased automated messages two times per day for 10 weeks regarding diabetes self-management through KakaoTalk SNS messenger. The primary outcome was the difference in the change in glycated hemoglobin (HbA1c) levels (%) from baseline to week 12.
    Results: HbA1c levels were more markedly decreased in the MMS group (8.4%±0.7% to 8.0%±1.1%) than in the control group (8.5%±0.8% to 8.4%±0.8%), resulting in a significant between-group difference (P=0.027). No differences were observed in changes in fasting glucose levels, lipid profiles, and the number of participants who experienced hypoglycemia, or in changes in lifestyle behavior between groups. However, the self-monitoring of blood glucose frequency was significantly increased in the MMS group compared to the control group (P=0.003). In addition, sleep duration was increased in the MMS group, but was not changed in the control group.
    Conclusion: An SNS-based automatic mobile message providing system was effective in improving glycemic control in patients in T2DM. Studies which based on a more individualized protocol, and investigate longer beneficial effect and sustainability will be required in the future.
    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/blood ; Diabetes Mellitus, Type 2/therapy ; Male ; Female ; Middle Aged ; Glycemic Control/methods ; Glycated Hemoglobin/analysis ; Text Messaging ; Aged ; Blood Glucose/analysis ; Social Networking ; Self-Management/methods ; Blood Glucose Self-Monitoring/methods ; Cell Phone ; Adult
    Chemical Substances Glycated Hemoglobin ; Blood Glucose ; hemoglobin A1c protein, human
    Language English
    Publishing date 2023-12-27
    Publishing country Korea (South)
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2802452-7
    ISSN 2093-5978 ; 2093-5978
    ISSN (online) 2093-5978
    ISSN 2093-5978
    DOI 10.3803/EnM.2023.1871
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  6. Article ; Online: Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus.

    Kang, Shinae / Ahn, Yu-Bae / Oh, Tae Keun / Lee, Won-Young / Chun, Sung Wan / Bae, Boram / Dahaoui, Amine / Jeong, Jin Sook / Jung, Sungeun / Jang, Hak Chul

    Diabetes & metabolism journal

    2024  

    Abstract: Background: This study investigated the real-world efficacy and safety of insulin degludec/insulin aspart (IDegAsp) in Korean adults with type 2 diabetes mellitus (T2DM), whose insulin treatment was switched to IDegAsp.: Methods: This was a ... ...

    Abstract Background: This study investigated the real-world efficacy and safety of insulin degludec/insulin aspart (IDegAsp) in Korean adults with type 2 diabetes mellitus (T2DM), whose insulin treatment was switched to IDegAsp.
    Methods: This was a multicenter, retrospective, observational study comprising two 26-week treatment periods, before and after switching to IDegAsp, respectively. Korean adults with uncontrolled T2DM treated with basal or premix insulin (±oral antidiabetic drugs) were enrolled. The primary objective was to compare the degree of glycosylated hemoglobin (HbA1c) change in each 26-week observation period. The analyses included changes in HbA1c, fasting plasma glucose (FPG), body weight, proportion of participants achieving HbA1c <7.0%, hypoglycemic events, and total daily insulin dose (ClinicalTrials.gov, number NCT04656106).
    Results: In total, 196 adults (mean age, 65.95 years; mean T2DM duration, 18.99 years) were analyzed. The change in both HbA1c and FPG were significantly different between the pre-switching and the post-switching period (0.28% vs. -0.51%, P<0.001; 5.21 mg/dL vs. -23.10 mg/dL, P=0.005), respectively. After switching, the rate of achieving HbA1c <7.0% was significantly improved (5.10% at baseline vs. 11.22% with IDegAsp, P=0.012). No significant differences (before vs. after switching) were observed in body weight change, and total daily insulin dose. The rates of overall and severe hypoglycemia were similar in the two periods.
    Conclusion: In real-world clinical practice in Korea, the change of insulin regimen to IDegAsp was associated with an improvement in glycemic control without increase of hypoglycemia, supporting the use of IDegAsp for patients with T2DM uncontrolled with basal or premix insulin.
    Language English
    Publishing date 2024-02-27
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2602402-0
    ISSN 2233-6087 ; 2233-6087
    ISSN (online) 2233-6087
    ISSN 2233-6087
    DOI 10.4093/dmj.2023.0297
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Response: Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes (Diabetes Metab J 2015;39:498-506).

    Yun, Jae Seung / Ahn, Yu Bae

    Diabetes & metabolism journal

    2016  Volume 40, Issue 1, Page(s) 85–86

    Language English
    Publishing date 2016-02
    Publishing country Korea (South)
    Document type Letter
    ZDB-ID 2602402-0
    ISSN 2233-6087 ; 2233-6079
    ISSN (online) 2233-6087
    ISSN 2233-6079
    DOI 10.4093/dmj.2016.40.1.85
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  8. Article ; Online: Association between lung function and the risk of atrial fibrillation in a nationwide population cohort study.

    Lee, Su Nam / Ko, Seung-Hyun / Her, Sung-Ho / Han, Kyungdo / Moon, Donggyu / Kim, Sung Kyoung / Yoo, Ki-Dong / Ahn, Yu-Bae

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 4007

    Abstract: We investigated the association between lung function and atrial fibrillation (AF) in 21,349 adults without AF aged ≥ 40 years who underwent spirometry. The study participants were enrolled from the Korean National Health and Nutritional Examination ... ...

    Abstract We investigated the association between lung function and atrial fibrillation (AF) in 21,349 adults without AF aged ≥ 40 years who underwent spirometry. The study participants were enrolled from the Korean National Health and Nutritional Examination Survey between 2008 and 2016. The primary outcome was new-onset non-valvular AF identified from the National Health Insurance Service database. During the median follow-up of 6.5 years, 2.15% of participants developed new-onset AF. The incidence rate of AF per 1000 person-years was inversely related to the forced expiratory volume in 1 s (FEV
    MeSH term(s) Adult ; Atrial Fibrillation/epidemiology ; Cohort Studies ; Forced Expiratory Volume ; Humans ; Lung ; Risk Factors ; Vital Capacity
    Language English
    Publishing date 2022-03-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-07534-4
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  9. Article: External validation and clinical application of the predictive model for severe hypoglycemia.

    Yun, Jae-Seung / Han, Kyungdo / Choi, Soo-Yeon / Cha, Seon-Ah / Ahn, Yu-Bae / Ko, Seung-Hyun

    Frontiers in endocrinology

    2022  Volume 13, Page(s) 1006470

    Abstract: Objective: An internally validated, one-year risk prediction model for severe hypoglycemia (SH) in type 2 diabetes was evaluated in a general hospital setting to externally verify and validate its performance.: Research design and methods: Between ... ...

    Abstract Objective: An internally validated, one-year risk prediction model for severe hypoglycemia (SH) in type 2 diabetes was evaluated in a general hospital setting to externally verify and validate its performance.
    Research design and methods: Between December 2017 to December 2019, 2,645 adult patients with type 2 diabetes who visited the diabetes center were enrolled. The receiver operating characteristics curve and Harrell C-statistics were compared to identify the discrimination of the model. The predicted and actual incidence of SH for one year in the development and validation cohorts were compared by ranking participants by deciles of predicted risk.
    Results: The concordance index was 0.878 in the external validation cohort. The sensitivity and specificity of the predictive model were 0.833 and 0.847, respectively. Based on the predicted risk, we stratified the groups into four categories: low (<0.05%), intermediate (0.05% to <0.5%), high (0.5% to <2.0%), and very high-risk group (≥2.0%). The actual annual incidence of SH gradually increased with the increased risk score level for the decile group (
    Conclusion: On external validation, the novel one-year SH prediction model showed excellent discrimination in participants with type 2 diabetes and can effectively screen high-risk patients for SH, even in the general hospital setting.
    MeSH term(s) Adult ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/diagnosis ; Glycated Hemoglobin A/analysis ; Humans ; Hypoglycemia/diagnosis ; Hypoglycemia/epidemiology ; Hypoglycemia/etiology ; Incidence ; Risk Factors
    Chemical Substances Glycated Hemoglobin A
    Language English
    Publishing date 2022-09-29
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2022.1006470
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  10. Article: A deep learning model for screening type 2 diabetes from retinal photographs

    Yun, Jae-Seung / Kim, Jaesik / Jung, Sang-Hyuk / Cha, Seon-Ah / Ko, Seung-Hyun / Ahn, Yu-Bae / Won, Hong-Hee / Sohn, Kyung-Ah / Kim, Dokyoon

    The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University Nutrition, metabolism, and cardiovascular diseases. 2022 Jan. 08,

    2022  

    Abstract: We aimed to develop and evaluate a non-invasive deep learning algorithm for screening type 2 diabetes in UK Biobank participants using retinal images. The deep learning model for prediction of type 2 diabetes was trained on retinal images from 50,077 UK ... ...

    Abstract We aimed to develop and evaluate a non-invasive deep learning algorithm for screening type 2 diabetes in UK Biobank participants using retinal images. The deep learning model for prediction of type 2 diabetes was trained on retinal images from 50,077 UK Biobank participants and tested on 12,185 participants. We evaluated its performance in terms of predicting traditional risk factors (TRFs) and genetic risk for diabetes. Next, we compared the performance of three models in predicting type 2 diabetes using 1) an image-only deep learning algorithm, 2) TRFs, 3) the combination of the algorithm and TRFs. Assessing net reclassification improvement (NRI) allowed quantification of the improvement afforded by adding the algorithm to the TRF model. When predicting TRFs with the deep learning algorithm, the areas under the curve (AUCs) obtained with the validation set for age, sex, and HbA1c status were 0.931 (0.928–0.934), 0.933 (0.929–0.936), and 0.734 (0.715–0.752), respectively. When predicting type 2 diabetes, the AUC of the composite logistic model using non-invasive TRFs was 0.810 (0.790–0.830), and that for the deep learning model using only fundus images was 0.731 (0.707–0.756). Upon addition of TRFs to the deep learning algorithm, discriminative performance was improved to 0.844 (0.826–0.861). The addition of the algorithm to the TRFs model improved risk stratification with an overall NRI of 50.8%. Our results demonstrate that this deep learning algorithm can be a useful tool for stratifying individuals at high risk of type 2 diabetes in the general population.
    Keywords algorithms ; logit analysis ; metabolism ; models ; noninsulin-dependent diabetes mellitus ; nutrition ; prediction ; risk assessment
    Language English
    Dates of publication 2022-0108
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 1067704-5
    ISSN 0939-4753
    ISSN 0939-4753
    DOI 10.1016/j.numecd.2022.01.010
    Database NAL-Catalogue (AGRICOLA)

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