RESUMO
Background: Acellular dermal matrix (ADM) is commonly used in implant-based breast reconstruction due to improved soft-tissue support and control of the implant pocket and decreased capsular contracture. However, concerns about complications have prompted the FDA to request more clinical data. This large-scale study aims to examine perioperative outcomes of ADM use in breast reconstruction. Methods: This study utilized a national insurance-based database to identify patients who underwent mastectomy between 2011 and 2019, with and without ADM. The groups were matched for age, region, and comorbidities. Complications within 90 days were compared using univariate and multivariate analyses. Results: A total of 49,366 patients were identified with 26,266 patients in the ADM group and 23,100 in the non-ADM group. Infection rates (4.7% ADM versus 4.4% no ADM) and seroma rates (3.9% ADM versus 4% no ADM) were similar. However, the ADM group had a 1% higher rate of implant removal (4.9% ADM versus 3.9% no ADM, P < 0.001). In direct-to-implant procedures, ADM use was associated with higher explantation rates (8.2% versus 6.3%, P = 0.002). Multivariate analysis identified tobacco use, hypertension, depression, obesity, ADM usage, and direct-to-implant surgery as risk factors for implant removal. Conclusions: This study found comparable infection and seroma rates in implant-based breast reconstruction with and without ADM. ADM use was associated with a 1% higher risk of implant removal, with risk factors including tobacco use, obesity, hypertension, depression, and direct-to-implant procedures. Multicenter studies and registry data on prepectoral breast reconstruction are warranted to help interpret these findings.
RESUMO
BACKGROUND: Due to staffing changes at scheduled intervals and decreases in essential staff in the evenings, late intensive care unit (ICU) arrivals may be at risk for suboptimal outcomes. Utilizing a regional collaborative, we sought to determine the effect of ICU arrival timing on outcomes in elective isolated coronary artery bypass. METHODS: Adults undergoing elective, isolated coronary artery bypass from 17 hospitals between 2013 and 2023 were identified. Patients with missing predicted risk of mortality or missing ICU arrival time were excluded. Late ICU arrival time was defined as between 6:00 pm and 6:00 am. Hierarchical logistic regression with appropriate predicted risk scores was utilized for outcome risk adjustment. RESULTS: We identified 11,638 patients, with 972 (8.4%) experiencing late ICU arrival. Late ICU arrival patients had higher predicted risk of morbidity or mortality (8.2%; [interquartile range {IQR}, 5.6%, 12.0%] vs 7.7% [IQR, 5.5%, 11.5%], P = .048) compared with early ICU arrival patients with longer median cardiopulmonary bypass times (96 minutes [IQR, 78, 119] vs 93 [IQR, 73, 116], P < .001). Late ICU arrival patients experienced more unadjusted complications including prolonged ventilation (7.7% vs 4.2%, P < .001) and operative mortality (2.0% vs 1.1%, P = .02), although no difference in failure-to-rescue (11.0% vs 10.4%, P = .84). Logistic regression with risk adjustment demonstrated late ICU arrival as a predictor of prolonged ventilation (odds ratio, 1.49 [95% CI, 1.12-1.99], P = .006). CONCLUSIONS: After adjustment, late ICU arrivals experienced higher rates of prolonged ventilation, although this did not translate to failure-to-rescue.