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Park SH, Park J, Kim H, Lee J, Kwon SY, Lee YB, Kim G, Jin SM, Hur KY, Kim JH. The association of fatty liver index and metabolic syndrome with cardiovascular outcomes, liver-related mortality, and all-cause mortality: a nationwide cohort study. Intern Emerg Med 2024:10.1007/s11739-024-03758-6. [PMID: 39235708 DOI: 10.1007/s11739-024-03758-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/27/2024] [Indexed: 09/06/2024]
Abstract
We investigated the risk of cardiovascular events, all-cause mortality, and liver-related mortality according to the presence of metabolic syndrome (MetS) and fatty liver index (FLI). In this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2009 to 2012. Nonalcoholic fatty liver disease (NAFLD) was defined as FLI ≥ 60. Risk of all-cause mortality, liver-related mortality, and major adverse cardiovascular events (MACE) including myocardial infarction (MI), stroke, heart failure (HF), and cardiovascular disease (CVD)-related mortality was assessed according to the presence of MetS and FLI among adults (aged 40 to 80 years) who underwent health examinations (n = 769,422). During a median 8.59 years of follow up, 44,356 (5.8%) cases of MACE, 24,429 (3.2%) cases of all-cause mortality, and 1114 (0.1%) cases of liver-related mortality were detected in the entire cohort. When the FLI < 30 without MetS group was set as a reference, the FLI ≥ 60 with MetS group had the highest risk of MACE (adjusted hazard ratio [aHR] 2.05, 95% confidence interval [CI] 1.98-2.13) and all-cause mortality (aHR 1.96, 95% CI 1.86-2.07). The risk of liver-related mortality (aHR 10.71, 95% CI 8.05-14.25) was highest in the FLI ≥ 60 without MetS group. The FLI ≥ 60 with MetS group had a higher risk of MACE (aHR 1.39, 95%CI 1.28-1.51), a lower risk of liver-related mortality (aHR 0.44, 95%CI 0.33-0.59), and no significant difference in all-cause mortality compared with the FLI ≥ 60 without MetS group. The FLI ≥ 60 with MetS group was associated with the highest risk of MACE and the FLI ≥ 60 without MetS group had the highest risk liver-related mortality, but there was no significant difference in all-cause mortality between two groups. In conclusion, as FLI levels increase, the risk of MACE increases, and the risk increases additively in the presence of MetS. The risk of liver-related mortality increases with higher FLI levels, the effect of high FLI on increased risk is more significant in groups without MetS compared to those with MetS.
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Affiliation(s)
- So Hee Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, College of Medicine, Inje University, Goyang, Republic of Korea
| | - Jiyun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam, 13496, Republic of Korea
| | - Hasung Kim
- Data Science Team, Hanmi Pharm. Co., Ltd, Seoul, Republic of Korea
| | - Jungkuk Lee
- Data Science Team, Hanmi Pharm. Co., Ltd, Seoul, Republic of Korea
| | - So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Daegu Catholic University Hospital, Daegu Catholic University School of Medicine, Daegu, Republic of Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
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Park SH, Lee YB, Lee KN, Kim B, Cho SH, Kwon SY, Park J, Kim G, Jin SM, Hur KY, Han K, Kim JH. Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study. Diabetes Metab J 2024; 48:290-301. [PMID: 38171143 PMCID: PMC10995483 DOI: 10.4093/dmj.2022.0299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 02/07/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGRUOUND We aimed to identify the risk of incident depression according to cumulative exposure to a low-household income status in individuals with type 2 diabetes mellitus (T2DM). METHODS For this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2002 to 2018. Risk of depression was assessed according to cumulative exposure to low-household income status (defined as Medical Aid registration) during the previous 5 years among adults (aged ≥20 years) with T2DM and without baseline depression who underwent health examinations from 2009 to 2012 (n=2,027,317). RESULTS During an average 6.23 years of follow-up, 401,175 incident depression cases occurred. Advance in cumulative number of years registered for medical aid during the previous 5 years from baseline was associated with an increased risk of depression in a dose-dependent manner (hazard ratio [HR], 1.44 [95% confidence interval (CI), 1.38 to 1.50]; HR, 1.40 [95% CI, 1.35 to 1.46]; HR, 1.42, [95% CI, 1.37 to 1.48]; HR, 1.46, [95% CI, 1.40 to 1.53]; HR, 1.69, [95% CI, 1.63 to 1.74] in groups with 1 to 5 exposed years, respectively). Insulin users exposed for 5 years to a low-household income state had the highest risk of depression among groups categorized by insulin use and duration of low-household income status. CONCLUSION Cumulative duration of low-household income status, defined as medical aid registration, was associated with an increased risk of depression in a dose-response manner in individuals with T2DM.
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Affiliation(s)
- So Hee Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyu-na Lee
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Bongsung Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - So Hyun Cho
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jiyun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea
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Zhang Q, Zhang Q, Yang L, Yang S, Lu Y. Renal, cardiovascular, and safety outcomes of adding sodium-glucose cotransporter-2 inhibitors to insulin therapy in patients with type-2 diabetes: a meta-analysis. Int Urol Nephrol 2024; 56:557-570. [PMID: 37515749 DOI: 10.1007/s11255-023-03719-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 07/23/2023] [Indexed: 07/31/2023]
Abstract
AIMS To investigate the renal, cardiovascular, and safety outcomes when sodium-glucose cotransporter-2 inhibitors (SGLT2is) were added to insulin therapy in patients with type-2 diabetes mellitus (T2DM). MATERIALS AND METHODS We searched Embase, PubMed, and Cochrane libraries for reports published up to Feb 2023. Randomized controlled trials (RCTs) comparing SGLT2is and insulin combination therapy (SGLT2is + INS group) with insulin therapy alone (INS group) in T2DM were included. RESULTS Fourteen RCTs involving six thousand one hundred twenty subjects with durations of 12-104 weeks were included. Compared with the insulin group, the SGLT2is + INS group showed decreased glycosylated hemoglobin values and insulin dosages (P < 0.00001). Meanwhile, the SGLT2is + INS group had a reduced urinary albumin/creatinine ratio (UACR) by 25.42 mg/g and uric acid concentration (P = 0.030; P = 0.001, respectively) but the estimated glomerular filtration rate (eGFR) and renal-related adverse events were unaffected (P = 0.070; P = 0.880, respectively). Blood pressure and body weight were lower in the SGLT2is + INS group (P < 0.01). However, the risk of genital infection was bigger when SGLT2is were added to insulin therapy (P < 0.00001), but the risks of severe hypoglycemia or urinary tract infection were equal between the two groups (P > 0.05). CONCLUSION Adding SGLT2is to insulin therapy in T2DM patients showed better glucose control and decreased albuminuria, uric acid, blood pressure, and body weight without a reduction in the eGFR.
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Affiliation(s)
- Qian Zhang
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, China
| | - Qingqing Zhang
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, China
| | - Liu Yang
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, China
- Graduate School of Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Shufang Yang
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, China
| | - Yu Lu
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, China.
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Kim JY, Ilham S, Alshannaq H, Pollock RF, Ahmed W, Norman GJ, Jin SM, Kim JH. Real-time continuous glucose monitoring vs. self-monitoring of blood glucose: cost-utility in South Korean type 2 diabetes patients on intensive insulin. J Med Econ 2024; 27:1245-1252. [PMID: 39275990 DOI: 10.1080/13696998.2024.2405293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 09/03/2024] [Accepted: 09/13/2024] [Indexed: 09/16/2024]
Abstract
AIMS This study investigated the cost-utility of real-time continuous glucose monitoring (rt-CGM) versus self-monitoring of blood glucose (SMBG) in people with type 2 diabetes (T2D) receiving intensive insulin therapy in South Korea. METHODS The IQVIA Core Diabetes Model (CDM v9.5) was used, with clinical effectiveness data obtained from a large-scale real world study. Costs were obtained from South Korean sources and inflated to 2022 South Korean Won (KRW). A South Korean payer perspective was adopted over a lifetime horizon, with future costs and effects discounted at 4.5% per annum. Baseline characteristics included a mean baseline HbA1c level of 8.6% (71 mmol/mol), and a mean age of 64.4 years. A willingness-to-pay (WTP) threshold of KRW 46.0 million was used. RESULTS Rt-CGM led to an increase of 0.683 quality-adjusted life years (QALYs) versus SMBG (7.526 QALYs for rt-CGM versus 6.843 QALYs for SMBG). An increase in costs of KRW 16.4 million (from KRW 90.4 million to KRW 106.8 million) was associated with rt-CGM. The incremental cost-utility ratio was KRW 24.0 million per QALY gained, significantly lower than the KRW 46 million threshold. CONCLUSIONS For individuals with T2D managed by intensive insulin therapy in South Korea, rt-CGM is cost-effective relative to SMBG.
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Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sabrina Ilham
- Health Economics & Outcomes Research, Dexcom, San Diego, CA, USA
| | - Hamza Alshannaq
- Health Economics & Outcomes Research, Dexcom, San Diego, CA, USA
- College of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Richard F Pollock
- Health Economics and Outcomes Research, Covalence Research Ltd, Harpenden, UK
| | - Waqas Ahmed
- Health Economics and Outcomes Research, Covalence Research Ltd, Harpenden, UK
| | - Gregory J Norman
- Health Economics & Outcomes Research, Dexcom, San Diego, CA, USA
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Lee YB, Park SH, Lee KN, Kim B, Kwon SY, Park J, Kim G, Jin SM, Hur KY, Han K, Kim JH. Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study. Diabetes Metab J 2023; 47:682-692. [PMID: 37349081 PMCID: PMC10555537 DOI: 10.4093/dmj.2022.0184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/17/2022] [Indexed: 06/24/2023] Open
Abstract
BACKGRUOUND We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM). METHODS Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1-4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS. RESULTS During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1-4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS. CONCLUSION Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.
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Affiliation(s)
- You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Hee Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyu-na Lee
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Bongsung Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jiyun Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea
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Park J, Kim G, Kim BS, Han KD, Kwon SY, Park SH, Lee YB, Jin SM, Kim JH. Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019. Diabetes Metab J 2023; 47:211-219. [PMID: 36746784 PMCID: PMC10040621 DOI: 10.4093/dmj.2022.0346] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/05/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND This study investigated the trends of insulin use among Korean patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Changes in prescription of antidiabetic medications in T2DM patients taking insulin therapy were evaluated. METHODS We analyzed data from the National Health Insurance Service database in Korea to evaluate the prevalence of insulin users and trends of insulin use in T1DM and T2DM patients from January 2002 to December 2019. We also investigated numbers and types of antidiabetic medications in insulin users with T2DM. RESULTS The overall total number of insulin users increased from 2002 to 2019, reaching 348,254 for T2DM and 20,287 for T1DM in 2019 compared with 109,974 for T2DM and 34,972 for T1DM in 2002. The proportion of patients using basal analogs and short acting analogs have increased and those using human insulin, premixed insulin, or biphasic human insulin have decreased (rapid acting analogs: 71.85% and 24.12% in T1DM and T2DM, respectively, in 2019; basal analogs: 76.75% and 75.09% in T1DM and T2DM, respectively, in 2019). The use of other antidiabetic medication in addition to insulin increased for T2DM, especially in dual therapy, reaching up to 52.35% in 2019 compared with 16.72% in 2002. CONCLUSION The proportion of the patients using basal or rapid acting analogs increased among all insulin users in both T1DM and T2DM patients. Among patients with T2DM, the proportion of patients using antidiabetic medications in addition to insulin was significantly increased compared to those who used insulin alone.
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Affiliation(s)
- Jiyun Park
- Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
- Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Bong-Sung Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Hee Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea
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Jeon JY, Kim DJ. Cardiovascular disease in patients with type 2 diabetes. J Diabetes Investig 2021; 13:614-616. [PMID: 34953095 PMCID: PMC9017622 DOI: 10.1111/jdi.13742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/22/2021] [Accepted: 12/22/2021] [Indexed: 12/03/2022] Open
Affiliation(s)
- Ja Young Jeon
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea
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Li C, Liu Z. Bioinformatic Analysis for Potential Biomarkers and Therapeutic Targets of T2DM-related MI. Int J Gen Med 2021; 14:4337-4347. [PMID: 34413670 PMCID: PMC8370113 DOI: 10.2147/ijgm.s325980] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/27/2021] [Indexed: 12/22/2022] Open
Abstract
Background Type 2 diabetes mellitus (T2DM), a major risk factor of coronary heart disease, is associated with an approximately twofold increase in the risk of myocardial infarction (MI). We studied co-expressed genes to demonstrate relationships between DM and MI and revealed the potential biomarkers and therapeutic targets of T2DM-related MI. Methods DM and MI-related differentially expressed genes (DEGs) were identified by bioinformatic analysis, Gene Expression Omnibus (GEO) datasets GSE42148 and GSE61144 of MI patients, and the normal control and GSE26168 and GSE15932 of DM patients and normal controls, respectively. Further target prediction and network analysis method were used to detect protein-protein interaction (PPI) networks, gene ontology (GO) terms, and pathway enrichment of DEGs. Co-expressed DEGs of T2DM-related MI were analyzed as well. Results We identified 210 upregulated and 127 downregulated DEGs in T2DM, as well as 264 upregulated and 242 downregulated DEGs in MI. Eighteen upregulated and four downregulated DEGs were identified as co-DEGs of T2DM and MI. Functional analysis revealed that T2DM-related DEGs were mostly enriched in the viral process and ubiquitin-mediated proteolysis, while MI-related DEGs were mostly enriched in protein phosphorylation and TNF signaling pathway. MPO, MMP9, CAMP, LTF, AZU1, DEFA4, STAT3, and PECAM1 were recognized as the hub genes of the co-DEGs with acceptable diagnostic values in T2DM and MI datasets. Adenosine receptor agonist IB-MECA was predicted to be a potential drug for T2DM-related MI with the highest CMap connectivity score. Conclusion Our study identified that the co-DEGs of MPO, MMP9, CAMP, LTF, AZU1, DEFA4, STAT3, and PECAM1 are significantly associated with novel biomarkers involved in T2DM-related MI. However, more experimental research and clinical trials are demanded to verify our results.
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Affiliation(s)
- Chan Li
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Zhaoya Liu
- Department of Geriatrics, Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
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Lee YB, Kim B, Park J, Kim M, Choi MS, Kim G, Jin SM, Hur KY, Han K, Kim JH. Early mortality and cardiovascular disease, varied association with body mass index and its changes in insulin-treated diabetes: a nationwide study. Int J Obes (Lond) 2021; 45:2482-2489. [PMID: 34344992 DOI: 10.1038/s41366-021-00922-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 07/15/2021] [Accepted: 07/21/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND/OBJECTIVES We investigated the hazards of cardiovascular diseases (CVDs) and all-cause death during follow-up according to baseline body mass index (BMI) and percent change in BMI among adults with insulin-treated diabetes. SUBJECTS/METHODS Using the Korean National Health Insurance Service datasets (2002-2017), the hazards of myocardial infarction (MI), stroke, and all-cause mortality during follow-up were analyzed according to baseline BMI and percent change in BMI among adults with insulin-treated diabetes and without baseline CVD and/or malignancy (N = 44,055). RESULTS At baseline, 67.3% of total subjects were either obese or overweight. During a mean 3.8 years, 1,081 MI and 1,562 stroke cases developed; 2,847 deaths occurred over a mean 3.9 years. Compared with normal weight, overweight and obesity were associated with lower hazards of outcomes [hazard ratio (95% CI): 0.836 (0.712-0.981), 0.794 (0.687-0.917) for MI; 0.829 (0.726-0.946), 0.772 (0.684-0.870) for stroke; 0.740 (0.672-0.816), 0.666 (0.609-0.728) for death, respectively]. Underweight was associated with a higher hazard of all-cause death during follow-up [hazard ratio (95% CI): 2.035 (1.695-2.443)]. When the group with minimum absolute value for percent change in BMI was set as a reference, the relative reduction in BMI was associated with increased hazards of MI, stroke, and all-cause death, and relative increase in BMI was associated with increased hazards of stroke and all-cause death during follow-up. CONCLUSIONS Among adults with insulin-treated diabetes, a high prevalence of overweight and obesity was observed, and baseline BMI category was inversely associated with CVD incidence and all-cause death during follow-up. Both weight loss and gain were associated with increased CVD incidence and all-cause death during follow-up, showing a U-shaped relationship between weight change and outcome. Stable body weight might be a predictor of a lower risk of CVDs and premature death among individuals with insulin-treated diabetes.
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Affiliation(s)
- You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Bongsung Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Jiyun Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Minyoung Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Min Sun Choi
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea.
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. .,Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.
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