Surgical procedures are often impeded by bleeding and/or leakage of body fluids. These complications cannot always be resolved by conventional surgical techniques. Hemopatch® is a hemostatic patch that also functions as a sealant. Here we document the effectiveness and safety of Hemopatch® for routine procedures of multiple surgical disciplines. To this end, we performed a prospective, multicenter, single-arm, observational registry study. Patients were eligible if they had received Hemopatch® during an open or minimally invasive procedure in one of these specialties: hepatobiliary, cardiovascular, urological, neurological/spinal, general, or lung surgery. Patients were excluded if they had a known hypersensitivity to bovine proteins or brilliant blue, intraoperative pulsatile or severe bleeding and/or infection at the target application site (TAS). The primary endpoint for intraoperative effectiveness was hemostasis assessed as the percentage of patients achieving hemostasis within 2 min and the percentage of patients achieving hemostasis without re-bleeding at the time of surgical closure. The registry enrolled 621 patients at 23 study sites in six European countries. Six hundred twenty patients had completed follow-up information. Hemostasis within 2 min was achieved at 463 (74.5%) of all 621 TASs. Hemostasis without re-bleeding was observed at 620 (99.8%) TASs. Adverse events were reported in 64 patients (10.3%). This Hemopatch® registry shows that Hemopatch® efficiently establishes hemostasis and sealing in a variety of surgical specialties, including minimally invasive procedures. Furthermore, we provide evidence for the safety of Hemopatch® across all the specialties included in the registry. This study is registered at clinicaltrials.gov: NCT03392662.
Background: Metabolic syndrome (MS) is rapidly growing as risk factor for HCC. Liver resection for HCC in patients with MS is associated with increased postoperative risks. There are no data on factors associated with postoperative complications.
Aims:The aim was to identify risk factors and develop and validate a model for postoperative major morbidity after liver resection for HCC in patients with MS, using a large multicentric Western cohort.
Materials and Methods:The univariable logistic regression analysis was applied to select predictive factors for 90 days major morbidity. The model was built on the multivariable regression and presented as a nomogram. Performance was evaluated by internal validation through the bootstrap method. The predictive discrimination was assessed through the concordance index. Results: A total of 1087 patients were gathered from 24 centers between 2001 and 2021. Four hundred and eighty-four patients (45.2%) were obese. Most liver resections were performed using an open approach (59.1%), and 743 (68.3%) underwent minor hepatectomies. Three hundred and seventysix patients (34.6%) developed postoperative complications, with 13.8% major morbidity and 2.9% mortality rates. Seven hundred and thirteen patients had complete data and were included in the prediction model. The model identified obesity, diabetes, ischemic heart disease, portal hypertension, open approach, major hepatectomy, and changes in the nontumoral parenchyma as risk factors for major morbidity. The model demonstrated an AUC of 72.8% (95% CI: 67.2%-78.2%) (https://childb.shinyapps.io/ NomogramMajorMorbidity90days/). Conclusions: Patients undergoing liver resection for HCC and MS are at high risk of postoperative major complications and death. Careful patient selection, considering baseline characteristics, liver function, and type of surgery, is key to achieving optimal outcomes.
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