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Lumu W, Mutebi RK, Nakireka S, Muyanja D, Eleku S, Kaddu D, Nunda E, Kabugo D, Kinene H, Nambago S, Ninsiima C, Kifuba I, Edemaga D, Atwiine E, Mutebi B, Nandawula M, Nakigudde N, Kataike Z, Nakachwa J, Nakaayi C, Lukyamuzi P, Ssebuufu R, Mutumba R. Association of triglyceride-glucose index with vascular risk factors and clinical outcomes among COVID-19 patients: a retrospective cross-sectional study in Mengo Hospital, Kampala, Uganda. Pan Afr Med J 2023; 46:113. [PMID: 38465013 PMCID: PMC10924613 DOI: 10.11604/pamj.2023.46.113.41795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/06/2023] [Indexed: 03/12/2024] Open
Abstract
Introduction triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance. We assessed the association between triglyceride-glucose (TyG) index and vascular risk factors and clinical outcomes of critically ill adult COVID-19 patients. Methods data from the charts of all patients with a confirmed diagnosis of COVID-19 who were hospitalized at Mengo Hospital Uganda from December 2020 to August 2021 was used for this study. Data on demographics, past medical history, clinical presentation, laboratory findings and clinical outcomes within the first 10 days of admission was extracted. TyG index was calculated as Inverse (triglyceride (mg/dl) x fasting glucose level (mg/dl)/2 and defined vascular risk factors using standard methods. Bivariate and multivariate logistic regression was conducted to establish a significant association. Statistical significance was set at p< 0.05. Results out of 314 patients, 176 (56%) were females. The mean age ± SD was 58.2 years ± 16.82. The median TyG index was 9.76 (9.29-10.33). A high TyG index was found among 85.4% (n= 268, 95% CI: 0.809-0.889) of patients. Elevated total cholesterol was in 55.4% (n=174), triglycerides 70.7% (n=222), LDL 64.7% (n=203), blood glucose 80.6% (n=253), systolic blood pressure 43% (n=135) and 24.8% (n=78) diastolic blood pressure. The majority 49.7% ( n=156) were discharged, 22.0% (n=69) needed admission to the intensive care unit (ICU), 15.3% (n=48) died in the unit and 13.0% (n=41) had a composite outcome. The TyG index was significantly associated with glycated hemoglobin (AOR=1.029, 95%CI 0.561-1.496, p<0.001), low-density lipoprotein cholesterol (AOR=0.121,95%CI 0.023-0.219, p=0.016), high-density cholesterol (AOR=1.956, 95%CI 1.299-2.945, p=0.001), total cholesterol (AOR=2.177, 95%CI 1.5222-3.144, p<0.001, hospital death (AOR=0.778, 95%CI 0.623-0.972, p=0.028) and composite outcome (AOR=1.823, 95% CI 1.221-2.559, p=0.023). There was no association between hypertension and TyG index. Conclusion a high TyG index was associated with vascular risk factors and clinical outcomes.
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Affiliation(s)
- William Lumu
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | | | - Susan Nakireka
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - David Muyanja
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Simon Eleku
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Denis Kaddu
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Ezra Nunda
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Deus Kabugo
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Henry Kinene
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Simon Nambago
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | | | - Isa Kifuba
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | | | - Edgar Atwiine
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | - Brian Mutebi
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | | | | | - Zubeda Kataike
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | | | | | - Paul Lukyamuzi
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
| | | | - Rose Mutumba
- Department of Internal Medicine, Mengo Hospital, Kampala, Uganda
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Lee TB, Kueh MTW, Jain V, Razavi AC, Alebna P, Chew NWS, Mehta A. Biomarkers of Hepatic Dysfunction and Cardiovascular Risk. Curr Cardiol Rep 2023; 25:1783-1795. [PMID: 37971635 PMCID: PMC10902719 DOI: 10.1007/s11886-023-01993-5] [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] [Accepted: 10/31/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE OF REVIEW The objective of this manuscript is to examine the current literature on non-alcoholic fatty liver disease (NAFLD) biomarkers and their correlation with cardiovascular disease (CVD) outcomes and cardiovascular risk scores. RECENT FINDINGS There has been a growing appreciation for an independent link between NAFLD and CVD, culminating in a scientific statement by the American Heart Association in 2022. More recently, studies have begun to identify biomarkers of the three NAFLD phases as potent predictors of cardiovascular risk. Despite the body of evidence supporting a connection between hepatic biomarkers and CVD, more research is certainly needed, as some studies find no significant relationship. If this relationship continues to be robust and readily reproducible, NAFLD and its biomarkers may have an exciting role in the future of cardiovascular risk prediction, possibly as risk-enhancing factors or as components of novel cardiovascular risk prediction models.
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Affiliation(s)
- Terence B Lee
- VCU Health, Department of Internal Medicine, Richmond, VA, USA
| | - Martin T W Kueh
- UCD School of Medicine and Medical Science, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
- Royal College of Surgeons in Ireland & University College Dublin Malaysia Campus, George Town, Malaysia
| | - Vardhmaan Jain
- Emory Clinical Cardiovascular Research Institute, Atlanta, GA, USA
| | | | | | - Nicholas W S Chew
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Anurag Mehta
- VCU Health Pauley Heart Center, Richmond, VA, USA.
- Preventive Cardiology, Internal Medicine, Virginia Commonwealth University School of Medicine, 1200 East Broad Street, PO Box 980036, Richmond, VA, 23298, USA.
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Arafa A, Kokubo Y, Kashima R, Matsumoto C, Koga M. Liver Enzymes and the Risk of Stroke among the General Japanese Population: A Prospective Cohort Study. Cerebrovasc Dis 2023; 53:252-260. [PMID: 37591215 DOI: 10.1159/000533654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 08/15/2023] [Indexed: 08/19/2023] Open
Abstract
INTRODUCTION Stroke is a major cause of morbidity and mortality. Liver enzymes, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transpeptidase (GGT), are markers of liver diseases with potential cardiovascular implications. This study aimed to investigate the prospective association between liver enzymes and stroke risk. METHODS We analyzed data from 3,379 men and 4,007 women without cardiovascular disease and registered in the Suita Study, a Japanese population-based prospective cohort study. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of stroke risk were estimated per quintiles of ALT, AST, and GGT in men and women. RESULTS Within a median follow-up period of 16.7 years, 438 incident stroke events were diagnosed. In men, compared to the second quintiles, the fifth (highest) quintiles of liver enzymes showed increased stroke risks: HRs (95% CIs) = 2.07 (1.35, 3.18) in ALT, 1.66 (1.10, 2.53) in AST, and 1.76 (1.11, 2.81) in GGT. The associations did not change with cerebral infarction risk: HRs (95% CIs) = 2.09 (1.24, 3.50) in ALT, 1.84 (1.11, 3.06) in AST, and 1.74 (1.00, 3.04) in GGT. The lowest ALT, AST, and GGT quintiles tended to show increased stroke and cerebral infarction risks, yet these associations were statistically insignificant. No such associations were shown in women. CONCLUSION Elevated ALT, AST, and GGT levels were associated with increased stroke and cerebral infarction risks among Japanese men.
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Affiliation(s)
- Ahmed Arafa
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
- Department of Public Health, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Rena Kashima
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
- Department of Cardiovascular Pathophysiology and Therapeutics, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Chisa Matsumoto
- Department of Cardiology, Center for Health Surveillance and Preventive Medicine, Tokyo Medical University Hospital, Shinjuku, Japan
| | - Masatoshi Koga
- Division of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
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Wang X, Zhang R, Man S, Lv J, Yu C, Yin J, Wang X, Deng Y, Wang B, Li L, Pang Y. Metabolic-associated fatty liver disease in relation to site-specific and multiple-site subclinical atherosclerosis. Liver Int 2023; 43:1691-1698. [PMID: 37337780 DOI: 10.1111/liv.15591] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 03/19/2023] [Accepted: 04/15/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND & AIMS Non-alcoholic fatty liver disease (NAFLD) and the newly proposed metabolic-associated fatty liver disease (MAFLD) were each associated with subclinical atherosclerosis. However, there is limited evidence on risk of atherosclerosis in individuals who meet the criteria for one but not the other. We aimed to investigate the associations of MAFLD or NAFLD status with site-specific and multiple-site atherosclerosis. METHODS This is a prospective cohort study involving 4524 adults within the MJ health check-up cohort. Logistic regression model was used to estimate odds ratios (ORs) and confidence intervals (CIs) for subclinical atherosclerosis (elevated carotid intima-media thickness [CIMT], carotid plaque [CP], coronary artery calcification [CAC] and retinal atherosclerosis [RA]) associated with MAFLD or NAFLD status, MAFLD subtypes and fibrosis status. RESULTS MAFLD was associated with higher risks of elevated CIMT, CP, CAC and RA (OR: 1.41 [95% CI 1.18-1.68], 1.23 [1.02-1.48], 1.60 [1.24-2.08], and 1.79 [1.28-2.52], respectively), whereas NAFLD per se did not increase risk of atherosclerosis except for elevated CIMT. Individuals who met both definitions or the definition for MAFLD but not NAFLD had higher risk of subclinical atherosclerosis. Among MAFLD subtypes, MAFLD with diabetes had the highest risk of subclinical atherosclerosis, but the associations did not differ by fibrosis status. Stronger positive associations were observed of MAFLD with multiple-site than single-site atherosclerosis. CONCLUSIONS In Chinese adults, MAFLD was associated with subclinical atherosclerosis, with stronger associations for multiple-site atherosclerosis. More attention should be paid to MAFLD with diabetes, and MAFLD might be a better predictor for atherosclerotic disease than NAFLD.
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Affiliation(s)
- Xinyu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ruosu Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Sailimai Man
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Institute of Health, Beijing, China
- Peking University Health Science Center, Meinian Public Health Institute, Beijing, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| | | | - Xiaona Wang
- Beijing MJ Health Check-up Center, Beijing, China
| | - Yuhan Deng
- Meinian Institute of Health, Beijing, China
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Bo Wang
- Meinian Institute of Health, Beijing, China
- Peking University Health Science Center, Meinian Public Health Institute, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
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