Abstract

BackgroundCoronary stent infection (CSI) represents a rare but potentially fatal complication of percutaneous coronary interventions (PCI). A systematic review and meta-analysis of published reports was performed to profile CSI and its management strategies. MethodsOnline database searches were performed using MeSH and keywords. The primary outcome of the study was in-hospital mortality. A unique Artificial Intelligence-based predictive model was developed for need for delayed surgery and probability of survival on medical therapy alone. ResultsA total of 79 subjects were included in the study. Twenty eight (35.0 %) patients had type 2 diabetes mellitus. Subjects most commonly reported symptoms within the first week of the procedure (43 %). Fever was the most common initial symptom (72 %). Thirty eight percent of patients presented with acute coronary syndrome. The presence of mycotic aneurysms was described in 62 % of patients. Staphylococcus species were the most common (65 %) isolated organism. The primary outcome of in-hospital mortality was seen in a total of 24 patients out of 79 (30.3 %). A comparative univariate analysis comparing those encountering in-hospital mortality versus otherwise revealed the presence of structural heart disease (83 % mortality vs 17 % survival, p = 0.009), and the presence of non ST elevation acute coronary syndrome (11 % mortality vs 88 % survival, p = 0.03), to be a statistically significant factor predicting in-hospital mortality. In an analysis between patients with successful versus failed initial medical therapy, patients from private teaching hospitals (80.0 % vs 20.0 %; p = 0.01, n = 10) had a higher survival with medical therapy alone. ConclusionCSI is a highly under-studied disease entity with largely unknown risk factors and clinical outcomes. Larger studies are needed to further define the characteristics of CSI. (PROSPERO ID CRD42021216031).

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