Yara Blok

89 Validation of a multicenter risk model for implant loss following implant-based reconstruction Table 3. Continued Baseline characteristics No implant loss (n=3462) Implant loss (n=307) P-value* Missing 3 0 Volume permanent implant 375 (290-475) 420 (340-535) 0.344 Volume tissue expander 0.167 <100 777 (30.2) 71 (30.2) 100-200 1545 (60.0) 132 (56.2) >200 253 (9.8) 32 (13.6) Missing 122 5 Adjuvant radiotherapy 182 (6.7) 22 (8.5) 0.267 Missing 746 49 Postoperative antibiotics 2015 (58.5) 176 (57.7) 0.776 Missing 20 2 Data are n (%), mean ± SD or median (IQR). Significant P-values are denoted in italic. ASA indicates American Association of Anesthesiologists; BMI, body mass index, PM; pectoralis major Table 4. Validation of risk model Accumulating number of risk factors and corresponding observed implant loss rates. Risk factors Reconstructions Implant loss 0 1491 114 (7.1) 1 1413 128 (8.3) 2 508 58 (10.2) 3 49 7 (12.5) 4 1 0 (0.0) Table 5. Risk factors in current cohort Association between risk factors and implant loss in current cohort using univariable logistic regression. Risk factors Group Event rate (%) OR P-value Obesity BMI <30 BMI >30 7.8 11.2 1 1.499 (1.072-2.094) 0.018 Active smoking No Yes 7.5 12.6 1 1.772 (1.315-2.387) <0.001 Nipple preserving No Yes 8.1 8.2 1 1.005 (0.799-1.295) 0.971 Reconstruction type TE Prosthesis 8.2 8.1 1 0.984 (0.742-1.305) 0.984 Event rate describes the rate of implant loss in breast reconstructions with and without the risk factor. BMI indicates body mass index; OR, odds ratio; TE, tissue expander. Significant P-value noted in italic. 6

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