| Literature DB >> 30122240 |
Mehdi Jafari1, Seyed Masood Mousavi2, Asra Asgharzadeh3, Neda Yazdani4.
Abstract
INTRODUCTION: This article is an attempt to provide an overview of systematic reviews to determine the efficacy of CQ10 supplementation in the treatment of patients with cardiovascular diseases (CVD). METHOD AND MATERIAL: All reviews were identified through a systematic search of the following databases: Cochrane, DARE, Ovid, EMBASE, ISI Web of Knowledge, and PubMed. Check references studies and the quality of the studies was assessed by means of AMSTTAR. No meta-analyses were performed due to the heterogeneity of studies. RESULT: Extracted data for Seven systematic reviews for primary outcomes, net changes in cardiac output, cardiac index, New York Heart Association functional classification, improved survival, based on existing evidence, there is a case for use of CoQ10 as an adjunctive therapy in congestive heart failure, especially in those patients unable to tolerate mainstream medical therapies.Entities:
Keywords: Cardiovascular; Coenzyme Q10; Systematic review
Mesh:
Substances:
Year: 2018 PMID: 30122240 PMCID: PMC6097169 DOI: 10.1016/j.ihj.2018.01.031
Source DB: PubMed Journal: Indian Heart J ISSN: 0019-4832
Fig. 1PRISMA flow diagram.
The list of the reviews and the characteristics of the included reviews.
| Ref. | Review | Objective | patient number | Intervention | QA | Meta-analysis | Overall conclusion | Comment |
|---|---|---|---|---|---|---|---|---|
| A. M. Soja (1997) | Investigate whether CoQl0 treatment of patients with CHF would lead to an improvement of certain cardio-physiological parameters. | 356 | CoQ10 | N | Of eight trials which could be submitted to meta-analysis: the CoQl0 group achieved an improvement that was 0.71 SD. better than the placebo group | Treatment with CoQ10 led to a statistically significant improvement of SV, CO, EF, CI, and EDVI. The results of the meta-analyses support the hypothesis that CoQ10 can be used as an adjuvant treatment of CHF. | There is a need for additional randomized, double-blind studies for meta-analyses with a more restrictive and stratified basis and eliminate as many of the factors that produce heterogeneity as possible. | |
| Franklin Rosenfeldt (2003) | A meta-analysis of nine randomized trials of CoQ10 in heart failure | 824 | CoQ10 | N | Of nine trials which could be submitted to meta-analysis: | The meta-analysis showed a trend towards an improvement in ejection fraction. | Trials to detect a mortality difference would need to be prohibitively large, requiring 2000 or more patients per group. | |
| CoQ10 in serum = 1.4 (1.3 to 1.5) | ||||||||
| EF rest = 1.9 (−0.13 to 3.9) | ||||||||
| EF exercise = −0.5 (−3.9 to 2.9) | ||||||||
| Maximum ex. capacity = 14.2 (−3.9 to 12.4) | ||||||||
| NYHA class = −0.09 (−0.037 to 0.18) | ||||||||
| Mortality = 0.76 (0.43 to 1.37) (odds ratio) | ||||||||
| Exercise duration = 1.0 (−0.54 to 2.54) | ||||||||
| Stephen Sander pharm D (2006) | To evaluate the impact of CoQ10 therapy on ejection fraction and cardiac output | 319 | CoQ10 | N | Of eleven trials which could be submitted to meta-analysis: | statistically significant change in EF, CO, and SI | Future studies looking at long-term outcomes are required Future studies with more homogeneous etiologies are also required to determine why some patients benefit and others do not. | |
| EF = 3.68 (1.59–5.77) | ||||||||
| CI = 0.32 (20.07–0.70) | ||||||||
| CO = 0.28 (0.03–0.53) | ||||||||
| SI = 5.80 (0.84–10.75) | ||||||||
| SV = 6.68 (20.41–13.78) | ||||||||
| A Domnica Fotino (2013) | To evaluate the impact of CoQ10 supplementation on the EF and NYHA functional classification in | 395 | CoQ10 | Y | Of 13 trials which could be submitted to meta-analysis: | Supplementation with CoQ10 may be of benefit in patients. The benefit may be limited to patients with less severe stages of CHF, such as patients with an EF ≥30% or those with an NYHA class of II or III. | Additional well-designed studies that include more diverse populations are needed. Additional larger studies are warranted and should examine whether there is an effect when this supplementation is added to the current standard of therapy for CHF or whether there is a dose-response effect between the stage of CHF at baseline and the dose of CoQ10 required for an improvement to be seen. | |
| EF = 3.67 (1.60, 5.74) (11 studies) | ||||||||
| NYHA = 0.30(0.66, 0.06) (3 studies) | ||||||||
| Mohammed E Mamdani (2013) | To review the safety and efficacy of Coenzyme Q10 in HF. | 914 | CoQ10 | Y | Of 7 trials which could be submitted to meta-analysis: | The evidence collected shows no convincing evidence to support or refuse the use of Coenzyme Q10 for heart failure. | Adequately powered and long-term conducted RCTs with low risk of bias are needed to support or change the current results Although Coenzyme Q10 is associated with improvement in the NYHA of clinical status and exercise capacity, the evidence is based on small trial numbers and is thus incomplete. | |
| Exercise duration = 12.79 [−140.12, 165.70] (2studies) | ||||||||
| Left ventricular EF = −2.26 [−15.49, 10.97] (2studies) | ||||||||
| serum levels of Coenzyme Q10 = 1.46 [1.19, 1.72] (3studies) | ||||||||
| Nadine Flowers (2013) | To determine the effects of coenzyme Q10 supplementation as a single ingredient for the primary prevention of CVD. | 218 | CoQ10 | Y | Of 7 trials which could be submitted to meta-analysis: Systolic blood pressure = Totals not selected (2sttudies) | Our review produced few data with which to compare to previous studies and no conclusions can be drawn at present. | Due to the small number of trials included, with a small number of participant's randomized, short follow-up and trials at some risk of bias, the results should be treated with caution. High-quality trials are needed to examine the effects of CoQ10 Supplementation on cardiovascular risk factors and events over a longer period of time. | |
| Diastolic blood pressure = −1.62 [-5.20, 1.96] (2studies) | ||||||||
| Total cholesterol = 0.30 [−0.10, 0.70] (1study) | ||||||||
| HDL-cholesterol = 0.02 [−0.13, 0.17] (1study) | ||||||||
| Triglycerides = 0.05 [−0.42, 0.52] (1study) | ||||||||
| Angkawipa Trongtorsak (2016) | To evaluate the effect of CoQ10 for left ventricular parameters and clinical outcomes in patients with HF | 1662 | CoQ10 | NM | Of 16 trials which could be submitted to meta-analysis: Q10 level = 1.44 (1.16–1.73) | This meta-analysis supports the use of combined CoQ10 with standard therapy in HF to reduce mortality. The benefit may partially explain by reversed remodeling of the left ventricle | With CoQ10 supplement, the plasma Q10 level was significantly higher, the LVEF and LVESD were significantly improved, respectively but not the LVEDD. Adding CoQ10 compared with placebo was associated with less hospitalization. | |
| LVEF = 2.9(1.3–4.5) | ||||||||
| LVESD = 2.1(3.5–0.6) | ||||||||
| LVEDD = 1.0 (3.74 to −1.82) | ||||||||
| All-cause death = HR: 0.62 (95% CI 0.40-0.95, p = 0.03). | ||||||||
| less hospitalization = HR: 0.39 95% CI 0.29 −0.53, p < 0.001). | ||||||||
*CHF: Chronic Heart Failure; CoQ10: CoenzymeQ10; CO: Cardiac output; CI: Cardiac index; CHF: Chronic Heart Failure; EF: Ejection Fraction; LVEF: Left ventricular Ejection Fraction; HF: Heart Failure; HR: Hazard ratio; LVESD: Left ventricular Systolic diameter; LVEDD: Left ventricular Diastolic diameter; NYHA: New York Heart Association; SD: Standard deviation; SI: Systolic Index; SV: Stroke volume; QA: Quality Assessment.