Blood stream infection is associated with cerebrovascular accident in patients with left ventricular assist device: a systematic review and meta-analysis.
Napatt KanjanahattakijBenjamin HornBasma AbdulhadiNicha WongjarupongKenechukwu MezuePattara RattanawongPublished in: Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs (2018)
Cerebrovascular accident (CVA) is one of the major complications and a leading cause of death in patients with a left ventricular assist device (LVAD). Multiple studies of have shown that patients with blood stream infection (BSI) are more likely to develop CVA compared to patients without BSI. However, there is no meta-analysis to confirm this association. Studies were systematically acquired from MEDLINE and EMBASE electronic databases. Included studies assessed patients with heart failure requiring LVAD and reported the number of patients who had BSI post LVAD, incidence of ischemic CVA, hemorrhagic CVA, or any CVA. Pooled effect size was calculated with a random-effect model, weighted for the inverse of variance. Heterogeneity was assessed with I2. Six studies were analyzed. Participants with LVAD who developed BSI were more likely to have a CVA compared to participants without BSI (RR 3.43, 95% CI 2.49-4.72, I2 = 0). In four studies, there was an association between BSI and increased incidence of hemorrhagic CVA post LVAD (RR 5.28, 95% CI 2.65-10.53) with minimal heterogeneity (I2 = 30%). In three studies, participants with BSI were more likely to develop ischemic CVA (RR 2.18, 95% CI 1.23-3.84) compared to patients without BSI. This meta-analysis suggested that there maybe an association between blood stream infection and cerebrovascular accident in patients with LVAD.
Keyphrases
- left ventricular assist device
- case control
- systematic review
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- risk factors
- prognostic factors
- magnetic resonance
- peritoneal dialysis
- clinical trial
- single cell
- randomized controlled trial
- oxidative stress
- meta analyses
- ischemia reperfusion injury
- deep learning
- patient reported
- neural network
- cerebral ischemia