Association of Myocardial Fibrosis Detected by Late Gadolinium-Enhanced MRI with Clinical Outcomes of Patients with Diabetes: A Systematic Review and Meta-Analysis

Abstract Background Prior studies demonstrated that myocardial fibrosis assessed by late gadolinium-enhanced (LGE) MRI is associated with an increased risk for major adverse cardiac and cerebrovascular events (MACCE) or major adverse cardiac events (MACE) in patients with diabetes. However, the results of these studies were controversial and limited. Therefore, we performed this meta-analysis assessing the associations of myocardial fibrosis detected by LGE with the risk of MACCE and MACE in patients with diabetes. Methods We selected studies using MEDLINE, EMBASE and Cochrane by Ovid on December 2019. Prospective and retrospective studies that assessed the associations of myocardial fibrosis detected by LGE with the risk of MACCE or MACE in patients with diabetes with a disease duration of at least 12 months. Two independent reviewers performed the data extraction using a standardized form. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were evaluated by a random-effects model. Results Eight studies with 1121 patients were included in this meta-analysis, and follow-up of patients ranged from 17 to 70 months. The prevalence of LGE in the total sample was high, occurring in 38.09%. The annualized event rates (AERs) for MACCE was 11.94% in patients with diabetes and LGE. The presence of myocardial fibrosis detected by LGE was associated with an increased risk for MACCE (HR: 2.58; 95%CI 1.42-4.71; P=0.002) and MACE (HR: 5.28; 95%CI 3.20-8.70; P=0.000) in patients with diabetes. In a subgroup meta-analysis, ischemic fibrosis detected by LGE was associated with MACCE/MACE (HR 3.75, 95%CI 2.11-6.69; P=0.000) in patients with diabetes. In diabetic patients with preserved ejection fraction, the association between myocardial fibrosis detected by LGE and MACCE/MACE remained significant (HR: 4.02; 95%CI 2.22-7.25; P=0.000). All of the meta-analyses showed no significant heterogeneity from random effects. Conclusion This study demonstrated that myocardial fibrosis detected by LGE conferred an increase in the risk of MACCE/MACE in patients with diabetes and may be an imaging biomarker for risk stratification.

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Association of myocardial fibrosis detected by late gadolinium-enhanced MRI with clinical outcomes in patients with diabetes: a systematic review and meta-analysis

BMJ Open ◽

10.1136/bmjopen-2021-055374 ◽

2022 ◽

Vol 12 (1) ◽

pp. e055374

Author(s):

Zhi Yang ◽

Rong Xu ◽

Jia-rong Wang ◽

Hua-yan Xu ◽

Hang Fu ◽

...

Keyword(s):

Systematic Review ◽

Risk Stratification ◽

Myocardial Fibrosis ◽

Meta Analysis ◽

Imaging Biomarker ◽

Cardiac Events ◽

Prognostic Information ◽

Increased Risk ◽

Patients With Diabetes

ObjectiveThis meta-analysis assessed the associations of myocardial fibrosis detected by late gadolinium-enhanced (LGE)-MRI with the risk of major adverse cardiac and cerebrovascular events (MACCEs) and major adverse cardiac events (MACEs) in patients with diabetes.DesignSystematic review and meta-analysis reported in accordance with the guidelines of the Meta-analysis of Observational Studies in Epidemiology statement.Data sourcesWe searched the Medline, Embase and Cochrane by Ovid databases for studies published up to 27 August 2021.Eligibility criteriaProspective or respective cohort studies were included if they reported the HR and 95% CIs for MACCEs/MACEs in patients with either type 1 or 2 diabetes and LGE-MRI-detected myocardial fibrosis compared with patients without LGE-MRI-detected myocardial fibrosis and if the articles were published in the English language.Data extraction and synthesisTwo review authors independently extracted data and assessed the quality of the included studies. Pooled HRs and 95% CIs were analysed using a random effects model. Heterogeneity was assessed using forest plots and I2 statistics.ResultsEight studies with 1121 patients with type 1 or type 2 diabetes were included in this meta-analysis, and the follow-up ranged from 17 to 70 months. The presence of myocardial fibrosis detected by LGE-MRI was associated with an increased risk for MACCEs (HR: 2.58; 95% CI 1.42 to 4.71; p=0.002) and MACEs (HR: 5.28; 95% CI 3.20 to 8.70; p<0.001) in patients with diabetes. Subgroup analysis revealed that ischaemic fibrosis detected by LGE was associated with MACCEs (HR 3.80, 95% CI 2.38 to 6.07; p<0.001) in patients with diabetes.ConclusionsThis study demonstrated that ischaemic myocardial fibrosis detected by LGE-MRI was associated with an increased risk of MACCEs/MACEs in patients with diabetes and may be an imaging biomarker for risk stratification. Whether LGE-MRI provides incremental prognostic information with respect to MACCEs/MACEs over risk stratification by conventional cardiovascular risk factors requires further study.

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Burden and Determinants of Chronic Kidney Disease Among Diabetic Patients in Ethiopia: A Systematic Review and Meta-Analysis

Public Health Reviews ◽

10.3389/phrs.2021.1603969 ◽

2021 ◽

Vol 42 ◽

Author(s):

Tadesse Tolossa ◽

Getahun Fetensa ◽

Bikila Regassa ◽

Mekdes Tigistu Yilma ◽

Merga Besho ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Kidney Disease ◽

Random Effects ◽

Meta Analysis ◽

Cochrane Library ◽

Diabetic Patients ◽

Special Focus ◽

Significant Heterogeneity ◽

Random Effects Model ◽

Patients With Diabetes

Background: Chronic kidney disease (CKD) among diabetic patients is becoming a global health burden with a high economic cost to health systems. The incidence of CKD is higher in low-income countries such as Ethiopia. In Ethiopia, there is no national representative evidence on the burden and determinants of CKD among patients with diabetes. Therefore, this review aimed to estimates the pooled burden and determinants of CKD among patients with diabetes.Methods: Published articles from various electronic databases such as Pub Med, Google Scholar, CINAHL, Scopes, Cochrane library, the Web of Science, and African Journals Online were accessed. Also, unpublished studies from Addis Ababa digital library were identified. We included all observational studies (cross-sectional, case-control, and cohort) in the review. Data were extracted on the Microsoft Excel spreadsheet and analyzed using STATA 14.1 version. A random-effects model was used to estimate the pooled estimate with a 95% confidence interval (CI). Forest plots were used to visualize the presence of heterogeneity and estimate the pooled burden and determinants of chronic kidney disease among diabetic patients. The presence of publication bias was assessed by funnel plots and Egger’s statistical tests.Results: Published (297) and unpublished (2) literature were identified from several databases and digital libraries, of which twelve articles were selected for final meta-analysis. Significant heterogeneity was observed across studies (I2 = 85.2%), which suggests a random-effects model to estimate pooled burden. The analysis found that the pooled burden of CKD among patients with diabetes was 18.22% (95% CI: 15.07–21.38). Factors such as hypertension (OR = 2.65, 95%, CI: 1.38, 5.09), type of DM (OR = 0.33, 95%, CI: 0.14–0.76), and duration of DM (OR = 0.51, 95%, CI: 0.34–0.77) were found to have significant association with CKD.Conclusion: The current review revealed a higher burden of CKD among patients with diabetes in Ethiopia. The presence of hypertension, type II diabetes, and duration of diabetes for a longer duration were found to be independent determinants of CKD among patients with diabetes. For better control of chronic kidney disease, integrated management of hypertension and DM should be designed with a special focus on chronic diabetic patients.

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Pregnancy-related complications and incidence of atrial fibrillation: a systematic review and meta-analysis

EP Europace ◽

10.1093/europace/euab116.145 ◽

2021 ◽

Vol 23 (Supplement_3) ◽

Author(s):

T Al Bahhawi ◽

A Aqeeli ◽

S L Harrison ◽

D A Lane ◽

I Buchan ◽

...

Keyword(s):

Atrial Fibrillation ◽

Systematic Review ◽

Cohort Studies ◽

Observational Studies ◽

Large Scale ◽

Data Extraction ◽

Meta Analysis ◽

Significant Heterogeneity ◽

Random Effects Models ◽

Increased Risk

Abstract Funding Acknowledgements Type of funding sources: None. Background Pregnancy-related complications have been previously associated with incident cardiovascular disease. However, data are scarce on the association between pregnancy-related complications and incident atrial fibrillation (AF). This systematic review examines associations between pregnancy-related complications and incident AF. Methods A systematic search of the literature utilising MEDLINE and EMBASE (Ovid) was conducted from 1990 to 6 April 2020. Observational studies examining the association between pregnancy-related complications including hypertensive disorders of pregnancy (HDP), gestational diabetes, placental abruption, preterm birth, low birth weight, small-for-gestational-age and stillbirth, and incidence of AF were included. Screening and data extraction were conducted independently by two reviewers. Inverse-variance random-effects models were used to pool hazard ratios. Results: Six observational studies met the inclusion criteria one case-control study and five retrospective cohort studies, with four studies eligible for meta-analysis. Sample sizes ranged from 1,839-1,303,365. Mean/median follow-up for the cohort studies ranged from 7-36 years. Most studies reported an increased risk of incident AF associated with pregnancy-related complications. The pooled summary statistic from four studies reflected a greater risk of incident AF for HDP (hazard ratio (HR) 1.47, 95% confidence intervals (CI) 1.18-1.84; I2 = 84%) and from three studies for pre-eclampsia (HR 1.71, 95% CI 1.41-2.06; I2 = 64%; Figure). Conclusions The results of this review suggest that pregnancy-related complications particularly pre-eclampsia appear to be associated with higher risk of incident AF. The small number of included studies and the significant heterogeneity in the pooled results suggest further large-scale prospective studies are required to confirm the association between pregnancy-related complications and AF. Abstract Figure.

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The Challenge of Lipid Management in Patients with Diabetes or Other Endocrine Disorders

European Endocrinology ◽

10.17925/ee.2011.07.02.92 ◽

2010 ◽

Vol 7 (2) ◽

pp. 92

Author(s):

Alberico L Catapano ◽

Liliana Grigore ◽

Angela Pirillo ◽

◽

...

Keyword(s):

Statin Therapy ◽

Meta Analysis ◽

Diabetic Patients ◽

Endocrine Disorders ◽

Lipid Management ◽

Increased Risk ◽

Patients With Diabetes ◽

Associated Risk Factors

Diabetes increases the risk of developing cardiovascular disease (CVD), and several guidelines suggest that subjects with diabetes are at high risk of developing CVD. The increased risk can be attributed, at least in part, to associated risk factors, including hypertension and dyslipidaemia. The role of statins in primary and secondary prevention of CVD is well established, and the positive effect has been clearly demonstrated also in patients with type 2 diabetes. A number of studies have evaluated the effect of statin therapy on incident CVD and shown that statin therapy produces a great reduction in cardiovascular risk, but a recent meta-analysis revealed a slight increase in the risk of developing diabetes. Such risk is, however, low, especially when compared with the reduction in cardiovascular events and should not interfere with the choice of treating diabetic patients with a cholesterol-lowering therapy.

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Long-term glycemic variability and risk of stroke in patients with diabetes: a meta-analysis

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-021-00770-0 ◽

2022 ◽

Vol 14 (1) ◽

Author(s):

Xiaoli Ren ◽

Zhiyun Wang ◽

Congfang Guo

Keyword(s):

Standard Deviation ◽

Coefficient Of Variation ◽

Meta Analysis ◽

Glycemic Variability ◽

Diabetic Patients ◽

Increased Risk ◽

Follow Up Studies ◽

Patients With Diabetes

Abstract Objectives Long-term glycemic variability has been related to increased risk of vascular complication in patients with diabetes. However, the association between parameters of long-term glycemic variability and risk of stroke remains not fully determined. We performed a meta-analysis to systematically evaluate the above association. Methods Medline, Embase, and Web of Science databases were searched for longitudinal follow-up studies comparing the incidence of stroke in diabetic patients with higher or lower long-term glycemic variability. A random-effect model incorporating the potential heterogeneity among the included studies were used to pool the results. Results Seven follow-up studies with 725,784 diabetic patients were included, and 98% of them were with type 2 diabetes mellitus (T2DM). The mean follow-up duration was 7.7 years. Pooled results showed that compared to those with lowest category of glycemic variability, diabetic patients with the highest patients had significantly increased risk of stroke, as evidenced by glycemic variability analyzed by fasting plasma glucose coefficient of variation (FPG-CV: risk ratio [RR] = 1.24, 95% confidence interval [CI] 1.11 to 1.39, P < 0.001; I2 = 53%), standard deviation of FPG (FPG-SD: RR = 1.16, 95% CI 1.02 to 1.31, P = 0.02; I2 = 74%), HbA1c coefficient of variation (HbA1c-CV: RR = 1.88, 95% CI 1.61 to 2.19 P < 0.001; I2 = 0%), and standard deviation of HbA1c (HbA1c-SD: RR = 1.73, 95% CI 1.49 to 2.00, P < 0.001; I2 = 0%). Conclusions Long-term glycemic variability is associated with higher risk of stroke in T2DM patients.

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Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics

BMJ Open ◽

10.1136/bmjopen-2018-025579 ◽

2019 ◽

Vol 9 (8) ◽

pp. e025579 ◽

Cited By ~ 4

Author(s):

Mohammad Ziaul Islam Chowdhury ◽

Fahmida Yeasmin ◽

Doreen M Rabi ◽

Paul E Ronksley ◽

Tanvir C Turin

Keyword(s):

Systematic Review ◽

Prediction Models ◽

Data Extraction ◽

Meta Analysis ◽

External Validation ◽

Predictive Performance ◽

Eligibility Criteria ◽

C Statistic ◽

Increased Risk ◽

Patients With Diabetes

ObjectiveStroke is a major cause of disability and death worldwide. People with diabetes are at a twofold to fivefold increased risk for stroke compared with people without diabetes. This study systematically reviews the literature on available stroke prediction models specifically developed or validated in patients with diabetes and assesses their predictive performance through meta-analysis.DesignSystematic review and meta-analysis.Data sourcesA detailed search was performed in MEDLINE, PubMed and EMBASE (from inception to 22 April 2019) to identify studies describing stroke prediction models.Eligibility criteriaAll studies that developed stroke prediction models in populations with diabetes were included.Data extraction and synthesisTwo reviewers independently identified eligible articles and extracted data. Random effects meta-analysis was used to obtain a pooled C-statistic.ResultsOur search retrieved 26 202 relevant papers and finally yielded 38 stroke prediction models, of which 34 were specifically developed for patients with diabetes and 4 were developed in general populations but validated in patients with diabetes. Among the models developed in those with diabetes, 9 reported their outcome as stroke, 23 reported their outcome as composite cardiovascular disease (CVD) where stroke was a component of the outcome and 2 did not report stroke initially as their outcome but later were validated for stroke as the outcome in other studies. C-statistics varied from 0.60 to 0.92 with a median C-statistic of 0.71 (for stroke as the outcome) and 0.70 (for stroke as part of a composite CVD outcome). Seventeen models were externally validated in diabetes populations with a pooled C-statistic of 0.68.ConclusionsOverall, the performance of these diabetes-specific stroke prediction models was not satisfactory. Research is needed to identify and incorporate new risk factors into the model to improve models’ predictive ability and further external validation of the existing models in diverse population to improve generalisability.

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LO47: Incidence of intracranial bleeding in anticoagulated emergency patients with minor head injury: a meta-analysis

CJEM ◽

10.1017/cem.2018.109 ◽

2018 ◽

Vol 20 (S1) ◽

pp. S23-S23

Author(s):

K. de Wit ◽

H. Minas ◽

W. Arthur ◽

M. Turcotte ◽

M. Eventov ◽

...

Keyword(s):

Head Injury ◽

Random Effects ◽

Data Extraction ◽

Meta Analysis ◽

Oral Anticoagulants ◽

Direct Oral Anticoagulants ◽

Minor Head Injury ◽

Significant Heterogeneity ◽

Ct Head ◽

A Minor

Introduction: The proportion of Canadians receiving anticoagulation medication is increasing. Falls in the elderly are the most common cause of minor head injury and an increasing proportion of these patients are prescribed anticoagulation. Emergency department (ED) guidelines advise performing a CT head scan for all anticoagulated head injured patients, but the risk of intracranial hemorrhage (ICH) after a minor head injury (patients who have a Glasgow comma score (GSC) of 15) is unclear. We conducted a systematic review and meta-analysis to determine the point incidence of ICH in anticoagulated ED patients presenting with a minor head injury. Methods: We systematically searched Pubmed, EMBASE, Cochrane database, DARE, google scholar and conference abstracts (May 2017). Experts were contacted. Meta-Analyses and Systematic Reviews of Observational Studies (MOOSE) guidelines were followed with two authors reviewing titles, four authors reviewing full text and four authors performing data extraction. We included all prospective studies recruiting consecutive anticoagulated ED patients presenting with a head injury. We obtained additional data from the authors of the included studies on the subset of GCS 15 patients. We performed a meta-analysis to estimate the point incidence of ICH among patients with a GCS score of 15 using a random effects model. Results: A total of five studies (and 4,080 GCS 15, anticoagulated patients) from the Netherlands, Italy, France, USA and UK were included in the analysis. One study contributed 2,871 patients. Direct oral anticoagulants were prescribed in only 60 (1.5%) patients. There was significant heterogeneity between studies with regards to mechanism of injury, CT scanning and follow up method (I2 =93%). The random effects pooled incidence of ICH was 8.9% (95% CI 5.0-13.8%). Conclusion: We found little data to reflect contemporary anticoagulant prescribing practice. Around 9% of warfarinized patients with a minor head injury develop ICH. Future studies should evaluate the safety of selective CT head scanning in this population.

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Burden and determinants of chronic kidney disease among diabetic patients in Ethiopia: A systematic Review and Meta-analysis, 2020

10.21203/rs.3.rs-22449/v1 ◽

2020 ◽

Author(s):

Tadesse Tolossa ◽

Getahun Fetensa ◽

Bikila Regassa ◽

Mekdes Tigistu ◽

Ginenus Fekadu ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Kidney Disease ◽

Random Effects ◽

Digital Library ◽

Meta Analysis ◽

Cochrane Library ◽

Diabetic Patients ◽

Special Focus ◽

Significant Heterogeneity ◽

Random Effects Model

Abstract Background Chronic kidney disease (CKD) among diabetic patients is becoming a global health burden with a high economic cost to health systems. Its incidence is increased at higher rate in low income countries including Ethiopia. In Ethiopia, there is no national representative evidence on burden and determinants of chronic kidney disease among diabetic patients. Therefore, this review aimed to estimates the pooled burden and determinants of chronic kidney disease among diabetic patients. Methods Published articles from various electronic databases such as Pub Med, Google scholar, CINAHL, Scopes, Cochrane library, the Web of Science and African Journals Online were accessed. Also, unpublished studies from Addis Ababa digital library were identified. All observational studies that were conducted on the burden and determinants of chronic kidney disease among diabetic patients were included. Data were extracted on the Microsoft excel spreadsheet and analyzed using STATA 14.1 version. A random-effects model was used to estimate the pooled estimate with a 95% confidence interval (CI). Forest plots were used to visualize the presence of heterogeneity and estimate the pooled burden and determinants of chronic kidney disease among diabetic patients. The presence of publication bias was assessed by funnel plots and Egger’s statistical tests. Results Published (163) and unpublished (2) literature were identified from several databases and digital library, of which ten articles were selected for final meta-analysis. Significant heterogeneity was observed across studies (I 2 = 84.6%), which suggests random-effects model to estimate pooled burden. The analysis found that the pooled burden of chronic kidney disease among diabetic patients was 17.55% (95%CI: 14.23–20.88). Being hypertensive patient, type II DM and staying with DM for greater than 10 years had positive significant association with chronic kidney disease. Conclusion The current review revealed a higher burden of chronic kidney diseases among diabetic patients in Ethiopia. Presence of hypertension, type of diabetes mellitus and staying with diabetes for longer duration were found to be independent determinants of chronic kidney disease among diabetic patients. For better control of chronic kidney disease, integrated management of hypertension and DM should be designed with special focus on chronic diabetic patients.

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Prevalence and treatment of panic disorder in bipolar disorder: systematic review and meta-analysis

Evidence-Based Mental Health ◽

10.1136/eb-2017-102858 ◽

2018 ◽

Vol 21 (2) ◽

pp. 53-60 ◽

Cited By ~ 5

Author(s):

Antonio Preti ◽

Jelena Vrublevska ◽

Areti Angeliki Veroniki ◽

Tania B Huedo-Medina ◽

Odysseas Kyriazis ◽

...

Keyword(s):

Bipolar Disorder ◽

Panic Disorder ◽

Random Effects ◽

Meta Analysis ◽

Unipolar Depression ◽

Significant Heterogeneity ◽

Cross Sectional ◽

Random Effects Models ◽

Increased Risk ◽

Potential Outlier

QuestionRecent data suggest that anxiety disorders are as often comorbid with bipolar disorder (BD) as with unipolar depression. The literature on panic disorder (PD) comorbid with BD has been systematically reviewed and subject to meta-analysis.Study selection and analysisThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were thoroughly followed for literature search, selection and reporting of available evidence. The variance-stabilising Freeman-Tukey double arcsine transformation was used in the meta-analysis of prevalence estimates. Both fixed-effect and random-effects models with inverse variance method were applied to estimate summary effects for all combined studies. Heterogeneity was assessed and measured with Cochran’s Q and I2 statistics.FindingsOverall, 15 studies (n=3391) on cross-sectional prevalence and 25 independent lifetime studies (n=8226) were used to calculate pooled estimates. The overall random-effects point prevalence of PD in patients with BD, after exclusion of one potential outlier study, was 13.0% (95% CI 7.0% to 20.3%), and the overall random-effects lifetime estimate, after exclusion of one potential outlier study, was 15.5% (95% CI 11.6% to 19.9%). There were no differences in rates between BD-I and BD-II. Significant heterogeneity (I2 >95%) was found in both estimates.ConclusionsEstimates that can be drawn from published studies indicate that the prevalence of PD in patients with BD is higher than the prevalence in the general population. Comorbid PD is reportedly associated with increased risk of suicidal acts and a more severe course. There is no clear indication on how to treat comorbid PD in BD. Findings from the current meta-analysis confirm the highly prevalent comorbidity of PD with BD, implicating that in patients with BD, PD might run a more chronic course.

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Executive functions in children with heart disease: a systematic review and meta-analysis

Cardiology in the Young ◽

10.1017/s1047951121001074 ◽

2021 ◽

pp. 1-9

Author(s):

William M. Jackson ◽

Nicholas Davis ◽

Johanna Calderon ◽

Jennifer J. Lee ◽

Nicole Feirsen ◽

...

Keyword(s):

Systematic Review ◽

Executive Functions ◽

Data Extraction ◽

Meta Analysis ◽

Executive Dysfunction ◽

Cochrane Library ◽

Planning Problem ◽

Healthy Controls ◽

Cross Sectional ◽

Increased Risk

Abstract Context: People with CHD are at increased risk for executive functioning deficits. Meta-analyses of these measures in CHD patients compared to healthy controls have not been reported. Objective: To examine differences in executive functions in individuals with CHD compared to healthy controls. Data sources: We performed a systematic review of publications from 1 January, 1986 to 15 June, 2020 indexed in PubMed, CINAHL, EMBASE, PsycInfo, Web of Science, and the Cochrane Library. Study selection: Inclusion criteria were (1) studies containing at least one executive function measure; (2) participants were over the age of three. Data extraction: Data extraction and quality assessment were performed independently by two authors. We used a shifting unit-of-analysis approach and pooled data using a random effects model. Results: The search yielded 61,217 results. Twenty-eight studies met criteria. A total of 7789 people with CHD were compared with 8187 healthy controls. We found the following standardised mean differences: −0.628 (−0.726, −0.531) for cognitive flexibility and set shifting, −0.469 (−0.606, −0.333) for inhibition, −0.369 (−0.466, −0.273) for working memory, −0.334 (−0.546, −0.121) for planning/problem solving, −0.361 (−0.576, −0.147) for summary measures, and −0.444 (−0.614, −0.274) for reporter-based measures (p < 0.001). Limitations: Our analysis consisted of cross-sectional and observational studies. We could not quantify the effect of collinearity. Conclusions: Individuals with CHD appear to have at least moderate deficits in executive functions. Given the growing population of people with CHD, more attention should be devoted to identifying executive dysfunction in this vulnerable group.

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