scholarly journals Hypertension and coronary artery ectasia: a systematic review and meta-analysis study

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Mostafa Bahremand ◽  
Ehsan Zereshki ◽  
Behzad Karami Matin ◽  
Mansour Rezaei ◽  
Hamidreza Omrani
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Coronary Artery ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Random Effects Model ◽  
Index Subgroup ◽  
Coronary Artery Ectasia ◽  
Analysis Study ◽  
Multiple Risk Factors

Abstract Background Coronary artery ectasia (CAE) is characterized by the enlargement of a coronary artery to 1.5 times or more than other non-ectasia parts of the vessel. It is important to investigate the association of different factors and CAE because there are controversial results between available studies. We perform this systematic review and meta-analysis to evaluate the effects of hypertension (HTN) on CAE. Methods To find the potentially relevant records, the electronic databases, including Scopus, PubMed, and Science Direct were searched on 25 July 2019 by two of the authors independently. In the present study, the pooled odds ratio (OR) accompanied by 95 % confidence intervals (CIs) were calculated by a random-effects model. Heterogeneity presented with the I2 index. Subgroup analysis and sensitivity analysis by the Jackknife approach was performed. Results Forty studies with 3,263 cases and 7,784 controls that investigated the association between HTN and CAE were included. The pooled unadjusted OR of CAE in subjects with HTN in comparison by subjects without HTN was estimated 1.44 (95 % CI, 1.24 to 1.68) with moderate heterogeneity (I2 = 41 %, Cochran’s Q P = 0.004). There was no evidence of publication bias in the analysis of HTN and CAE with Egger’s test (P = 0.171), Begg’s test (P = 0.179). Nine articles reported the adjusted effect of HTN on CAE by 624 cases and 628 controls. The findings indicated the overall adjusted OR was 1.03 (95 % CI, 0.80 to 1.25) with high heterogeneity (I2 = 58.5 %, Cochran’s Q P = 0.013). Conclusions We found that when the vessel was in normal condition, HTN was not very effective in increasing the chance of CAE and only increased the CAE chance by 3 %. This is an important issue and a warning to people who have multiple risk factors together. More studies need to be performed to further establish these associations by reported adjusted effects.

Opioid dependency and myocardial infarction: A systematic review and meta-analysis.

2021 ◽  
Vol 16 ◽  
Author(s):  
Farahnaz Rohani ◽  
Arash Akhavan Rezayat ◽  
Ahmadreza Zarifian ◽  
Mohammad Ghasemi Nour ◽  
Farveh Vakilian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Systematic Review ◽  
Coronary Artery Disease ◽  
Developing Countries ◽  
Coronary Artery ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Health Concern ◽  
Artery Disease

Background: Coronary artery disease is a major cause of morbidity and mortality worldwide. A major health concern in developing countries is opioid addiction, which has controversial cardiovascular side effects. We aimed to investigate whether myocardial infarction (MI) and its risk factors are associated with morphine dependency in the Iranian population. Methods: Electronic databases, including PubMed, Medline, Scopus, SID, Elmnet, and Magiran were searched to find published articles including the keywords morphine, coronary artery disease, hypertension, hyperlipidemia, and diabetes mellitus. Results: Twelve studies involving 25,800 people were included in the systematic review and meta-analysis. Morphine dependency was significantly associated with MI with an adjusted odds ratio (AOR) of 2.28 (95%CI=1.26-4.11). It didn’t have significant associations with hypertension (AOR=0.952; 95%CI=0.696-1.301) nor diabetes (AOR=0.895; 95%CI=0.644-1.246). Morphine dependency also had no significant association with hyperlipidemia with a crude odds ratio (COR) of 0.906 (95%CI=0.786-1.045). Conclusion: Morphine dependency was significantly related to MI, but its risk factors were not significantly associated with morphine dependency. The increasing prevalence of opioid abuse in developing countries may be a reason for the growing incidence of MI in younger ages and individuals with no risk factors. Besides, physicians should consider the presence of impurities in morphine-based opioids and its possible effects on health.

The relationship between migraine and infant colic: A systematic review and meta-analysis

Cephalalgia ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Amy A Gelfand ◽  
Peter J Goadsby ◽  
I Elaine Allen
Keyword(s):  
Systematic Review ◽  
Random Effects ◽  
Odds Ratio ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Primary Analysis ◽  
Infant Colic ◽  
The Relationship

Context Infant colic is a common and distressing disorder of early infancy. Its etiology is unknown, making treatment challenging. Several articles have suggested a link to migraine. Objective The objective of this article was to perform a systematic review and, if appropriate, a meta-analysis of the studies on the relationship between infant colic and migraine. Data sources Studies were identified by searching PubMed and ScienceDirect and by hand-searching references and conference proceedings. Study selection For the primary analysis, studies specifically designed to measure the association between colic and migraine were included. For the secondary analysis, studies that collected data on colic and migraine but were designed for another primary research question were also included. Data extraction Data were abstracted from the original studies, through communication with study authors, or both. Two authors independently abstracted data. Main outcomes and measures The main outcome measure was the association between infant colic and migraine using both a fixed-effects model and a more conservative random-effects model. Results Three studies were included in the primary analysis; the odds ratio for the association between migraine and infant colic was 6.5 (4.6–8.9, p < 0.001) for the fixed-effects model and 5.6 (3.3–9.5, p = 0.004) for the random-effects model. In a sensitivity analysis wherein the study with the largest effect size was removed, the odds ratio was 3.6 (95% CI 1.7–7.6, p = 0.001) for both the fixed-effects model and random-effects model. Conclusions In this meta-analysis, infant colic was associated with increased odds of migraine. If infant colic is a migrainous disorder, this would have important implications for treatment. The main limitation of this meta-analysis was the relatively small number of studies included.

scholarly journals Risk factors of premature coronary artery disease in Iran: A systematic review and meta‐analysis

2019 ◽  
Vol 49 (7) ◽  
Author(s):  
Hoorak Poorzand ◽  
Konstantinos Tsarouhas ◽  
Seyyed Amin Hozhabrossadati ◽  
Nastaran Khorrampazhouh ◽  
Yones Bondarsahebi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Meta Analysis ◽  
Premature Coronary Artery Disease ◽  
Artery Disease

Relation of diabetes to coronary artery ectasia: A meta-analysis study

2014 ◽  
Vol 14 (4) ◽  
pp. 322-327 ◽  
Author(s):  
Qiao-Juan Huang ◽  
Jun Liu ◽  
Meng-Hua Chen ◽  
Jian Li
Keyword(s):  
Coronary Artery ◽  
Meta Analysis ◽  
Coronary Artery Ectasia ◽  
Analysis Study

scholarly journals Comparison of mean platelet volume levels in coronary artery ectasia and healthy people: systematic review and meta-analysis

2018 ◽  
Vol 53 (4) ◽  
pp. 269 ◽  
Author(s):  
Reza Heidary Moghadam ◽  
Afshar Shahmohammadi ◽  
Nader Asgari ◽  
Koorosh Azizi ◽  
Sahar Mehr Mansour ◽  
...  
Keyword(s):  
Systematic Review ◽  
Coronary Artery ◽  
Mean Platelet Volume ◽  
Meta Analysis ◽  
Healthy People ◽  
Coronary Artery Ectasia ◽  
Platelet Volume

scholarly journals Association of Helicobacter pylori infection with diabetes mellitus: A Meta-analysis of Case Control Studies

2019 ◽  
Author(s):  
Kamyar Mansori ◽  
Yousef Moradi ◽  
Sara Naderpour ◽  
Roya Rashti ◽  
Ali Baradaran Moghaddam ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Asian Population ◽  
Case Control ◽  
Case Control Studies ◽  
Analysis Study ◽  
Geographical Regions ◽  
H Pylori

Abstract Background Results of previous studies were showed that the association between H. pylori infection and the risk of diabetes is still controversies. Therefore, this systematic review and meta-analysis study was designed and implemented aimed to determine the association between H. pylori infection and the risk of diabetes.Methods All case control articles were searched in international databases, including Medline (PubMed), Web of sciences, Scopus, EMBASE, and CINHAL. Search was done from January 1990 to March 2019 without language limitations. Also, logarithm and standard error logarithm odds ratio (OR) were used for meta-analysis.Results A total of 41 studies were included in this meta-analysis. The range of association with odds ratio in case control studies which published between 1990 to 2019 was 0.21 to 6.08. The pooled estimate of the association between H. pylori infection with diabetes was 1.27 (95% CI 1.11 to 1.45, P = 0.0001, I 2 = 86.6%). The effect of H. pylori infection on diabetes mellitus, type 1 and type 2 diabetes was 1.17 (95% CI 0.94 to 1.45), 1.19 (95% CI 0.98 to 1.45), and 1.43 (95% CI 1.11 to 1.85) respectively. Subgroup analysis by the geographical regions showed in Asian population risk of the effect of H. pylori infection on diabetes was higher than other population, but in the American, this was a protective relationship.Conclusion In conclusion, this systematic review & meta-analysis study suggested that H. pylori infection was associated with the risk of diabetes as compared to non- diabetes individual.

scholarly journals Can we predict the severe course of COVID-19 – a systematic review and meta-analysis of indicators of clinical outcome?

2020 ◽  
Author(s):  
Stephan Katzenschlager ◽  
Alexandra J. Zimmer ◽  
Claudius Gottschalk ◽  
Juergen Grafeneder ◽  
Alexander Seitel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cerebrovascular Disease ◽  
Odds Ratio ◽  
Clinical Decision Making ◽  
Troponin I ◽  
Assessment Tool ◽  
Meta Analysis ◽  
Icu Admission ◽  
Co Morbidity

AbstractBackgroundCOVID-19 has been reported in over 40million people globally with variable clinical outcomes. In this systematic review and meta-analysis, we assessed demographic, laboratory and clinical indicators as predictors for severe courses of COVID-19.MethodsWe systematically searched multiple databases (PubMed, Web of Science Core Collection, MedRvix and bioRvix) for publications from December 2019 to May 31st 2020. Random-effects meta-analyses were used to calculate pooled odds ratios and differences of medians between (1) patients admitted to ICU versus non-ICU patients and (2) patients who died versus those who survived. We adapted an existing Cochrane risk-of-bias assessment tool for outcome studies.ResultsOf 6,702 unique citations, we included 88 articles with 69,762 patients. There was concern for bias across all articles included. Age was strongly associated with mortality with a difference of medians (DoM) of 13.15 years (95% confidence interval (CI) 11.37 to 14.94) between those who died and those who survived. We found a clinically relevant difference between non-survivors and survivors for C-reactive protein (CRP; DoM 69.10, CI 50.43 to 87.77), lactate dehydrogenase (LDH; DoM 189.49, CI 155.00 to 223.98), cardiac troponin I (cTnI; DoM 21.88, CI 9.78 to 33.99) and D-Dimer (DoM 1.29mg/L, CI 0.9 - 1.69). Furthermore, cerebrovascular disease was the co-morbidity most strongly associated with mortality (Odds Ratio 3.45, CI 2.42 to 4.91) and ICU admission (Odds Ratio 5.88, CI 2.35 to 14.73).DiscussionThis comprehensive meta-analysis found age, cerebrovascular disease, CRP, LDH and cTnI to be the most important risk-factors in predicting severe COVID-19 outcomes and will inform decision analytical tools to support clinical decision-making.SummaryIn this systematic review we meta-analyzed 88 articles for risk factors of ICU admission and mortality in COVID-19. We found age, cerebrovascular disease, CRP, LDH and cTnI are the most important risk-factors for ICU admission or mortality.

scholarly journals Mobile phone text-messaging interventions aimed to prevent cardiovascular diseases (Text2PreventCVD): systematic review and individual patient data meta-analysis

Open Heart ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. e001017 ◽  
Author(s):  
Sheikh Mohammed Shariful Islam ◽  
Andrew J Farmer ◽  
Kirsten Bobrow ◽  
Ralph Maddison ◽  
Robyn Whittaker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Blood Pressure ◽  
Mobile Phone ◽  
Text Messaging ◽  
Individual Patient Data ◽  
Meta Analysis ◽  
Multiple Risk Factors ◽  
Cvd Prevention ◽  
Multiple Risk

BackgroundA variety of small mobile phone text-messaging interventions have indicated improvement in risk factors for cardiovascular disease (CVD). Yet the extent of this improvement and whether it impacts multiple risk factors together is uncertain. We aimed to conduct a systematic review and individual patient data (IPD) meta-analysis to investigate the effects of text-messaging interventions for CVD prevention.MethodsElectronic databases were searched to identify trials investigating a text-messaging intervention focusing on CVD prevention with the potential to modify at least two CVD risk factors in adults. The main outcome was blood pressure (BP). We conducted standard and IPD meta-analysis on pooled data. We accounted for clustering of patients within studies and the primary analysis used random-effects models. Sensitivity and subgroup analyses were performed.ResultsNine trials were included in the systematic review involving 3779 participants and 5 (n=2612) contributed data to the IPD meta-analysis. Standard meta-analysis showed that the weighted mean differences are as follows: systolic blood pressure (SBP), −4.13 mm Hg (95% CI −11.07 to 2.81, p<0.0001); diastolic blood pressure (DBP), −1.11 mm Hg (−1.91 to −0.31, p=0.002); and body mass index (BMI), −0.32 (−0.49 to −0.16, p=0.000). In the IPD meta-analysis, the mean difference are as follows: SBP, −1.3 mm Hg (−5.4 to 2.7, p=0.5236); DBP, −0.8 mm Hg (−2.5 to 1.0, p=0.3912); and BMI, −0.2 (−0.8 to 0.4, p=0.5200) in the random-effects model. The impact on other risk factors is described, but there were insufficient data to conduct meta-analyses.ConclusionMobile phone text-messaging interventions have modest impacts on BP and BMI. Simultaneous but small impacts on multiple risk factors are likely to be clinically relevant and improve outcome, but there are currently insufficient data in pooled analyses to examine the extent to which simultaneous reduction in multiple risk factors occurs.PROSPERO registration numberCRD42016033236.

scholarly journals Unique and Varied Contributions of Traditional CVD Risk Factors: A Systematic Literature Review of CAD Risk Factors in China

2013 ◽  
Vol 7 ◽  
pp. CMC.S10225 ◽  
Author(s):  
Joanne Foody ◽  
Yong Huo ◽  
Linong Ji ◽  
Dong Zhao ◽  
Dylan Boyd ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Real World ◽  
Odds Ratio ◽  
Lipid Levels ◽  
Artery Disease ◽  
The Impact ◽  
Cad Risk

This study is the first systematic review of risk factors for stroke in China and supports the importance of current public health initiatives to manage the risk factors appropriately to reduce risk of stroke in high risk patients. Additionally, this study has been co-authored by prominent Chinese and US physicians and researchers with expertise in cardiovascular disease, neurologic disorders, epidemiology, and real world data. While there have been several systematic reviews of real world associations of risk factors for coronary artery disease, none focus specifically on the population of China, where there is growing evidence that such risk factors are poorly treated or uncontrolled, especially in rural areas. Background To better understand the impact of traditional cardiovascular risk factors on risk of coronary artery disease (CAD) in China, a systematic review of all Chinese observational studies published in either English or Chinese in MEDLINE and EMBASE over the last 5 years was performed and the association between any of 5 traditional risk factors (ie, hypertension, diabetes, elevated lipid levels, obesity, and smoking) and the risk of CAD was studied. Methods and Results The study found a consistent relationship between lipid levels and CAD. Higher low-density lipoprotein cholesterol values were associated with greater risk of CAD, with an odds ratio as high as 3.31. Other factors found to be significant contributors to the risk of CAD included hypertension (crude odds ratio range of 1.40-5.11), diabetes (1.50-5.97), and smoking (1.37-5.19). An association between obesity and CAD in China was observed, but the evidence supporting this was considered weak due to the paucity of studies found as part of this review. Conclusions This review provides a systematic summary of CAD risk factors in China and demonstrates the important differences that exist in CAD risk factors between countries and regions. Approaches to reduce CAD globally must take into account the unique risk factors that drive CAD in each country and region as is demonstrated by these findings.

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