Anakinra in Heart Failure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Kamran MahfoozAditya RanaKeerthi PalagatiAkshata Krishna SuvarnaChristian PerrymanSai Pranathi GaddipatiArshiya AdhnonRupesh AndaniAdvait VasavadaPublished in: Medical sciences (Basel, Switzerland) (2022)
Background: Heart failure (HF) has become increasingly difficult to manage given its increasing incidence. Despite the availability of novel treatment target relieving inhibition and congestions for neurohormonal activation, heart failure is one of leading health conditions associated with high hospitalization and readmission rates, resulting in poor quality of life. In light of this, this article serves to demonstrate the effect of anakinra as one of the treatment paradigms for HF to explore the need for advanced novel interventions. Methods: We conducted a search in five electronic databases, including Embase , MEDLINE , Cochrane , Scopus , and PubMed , for RCTs (randomized controlled trials) evaluating the effects of anakinra against placebo in HF. Meta-analysis was performed using RevMan version 5.4. Results: Eight RCTs were obtained and included for analysis in this study. The results demonstrate that anakinra significantly reduces the levels of CRP (C-reactive protein), with significant difference between anakinra- and placebo-treated groups. Analyses also show that CRP failed to cause an improvement in peak oxygen consumption and ventilatory efficiency. Additionally, the treatment-related adverse events were insignificant. Some considerable limitations are that the same set of researchers were involved in most of the studies; hence, more independent studies need to be encouraged. Conclusion: Anakinra was associated with a reduction in CRP levels, indicating some anti-inflammatory effects but no effect on function, exercise capacity, and adverse effects.
Keyphrases
- heart failure
- systematic review
- acute heart failure
- randomized controlled trial
- physical activity
- healthcare
- public health
- mental health
- atrial fibrillation
- clinical trial
- high intensity
- machine learning
- risk assessment
- body composition
- meta analyses
- open label
- deep learning
- double blind
- resistance training
- drug induced