Sobti Nikhil, Vishwanath Neel, Stead Thor, Rao Vinay, Soliman Luke, Breuing Karl, Kwan Daniel, Liu Paul, Schmidt Scott
From the Department of Plastic and Reconstructive Surgery, The Warren Alpert Medical School of Brown University, Providence, R.I.
Plast Reconstr Surg Glob Open. 2024 Jan 23;12(1):e5543. doi: 10.1097/GOX.0000000000005543. eCollection 2024 Jan.
BACKGROUND: Accurate diagnosis of periprosthetic infections following breast reconstructions is paramount to reduce morbidity. Alpha defensin-1 (AD-1) is an antimicrobial peptide released by neutrophils. This study evaluates the relationship between quantitative AD-1 levels and infection severity in patients with suspected periprosthetic infection. METHODS: Retrospective review was conducted of patients with prior breast implant reconstruction undergoing surgery for either suspected infection or prosthesis exchange and revision. The AD-1 level in periprosthetic fluid was sent for quantitative analysis. Association between AD-1 levels with outcomes, management, systemic markers of infection, and overall infection severity was evaluated. RESULTS: Thirty-eight breasts were included. Infected breasts had higher AD-1 levels (3.91 versus 0.14, < 0.01), greater odds of erythema [odds ratio (OR) 2.98 (1.53-5.82), = 0.01], purulence [OR 2.84 (1.51-5.35), = 0.01], fever [OR 1.84 (1.15-2.93), = 0.01], threatened implant exposure [OR 2.97 (1.48-5.95), < 0.01], and true implant exposure [OR 1.79 (1.04-3.08), = 0.04]. Increasing AD-1 was an independent risk factor for washout ( < 0.01), and explant [OR 2.48 (1.47-4.2), < 0.01]. AD-1 positively correlated with white blood cell count (β = 1.81 cells/µL, < 0.01), and serum lactate (β = 0.19 meq/L, < 0.04). Increasing AD-1 level was an independent predictor of infection severity (χ² = 22.77, < 0.01). CONCLUSIONS: AD-1 levels correlate with infection severity, highlighting its potential both when clinical examination is ambiguous and when treatment response is being monitored. Although further evaluation is warranted, AD-1 may demonstrate utility in novel breast implant salvage algorithms.
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