Objective: To assess the risk factors associated with R1 resection in patients undergoing OLS and LLS for CRLMs.

Background: The clinical impact of R1 resection in liver surgery for CRLMs has been continuously appraised, but R1 risk factors have not been clearly defined yet.

Methods: A cohort study of patients who underwent OLS and LLS for CRLMs in 9 European high-volume referral centers was performed. A multivariate analysis and the receiver operating characteristic curves were used to investigate the risk factors for R1 resection. A model predicting the likelihood of R1 resection was developed.

Results: Overall, 3387 consecutive liver resections for CRLMs were included. OLS was performed in 1792 cases whereas LLS in 1595; the R1 resection rate was 14% and 14.2%, respectively. The risk factors for R1 resection were: the type of resection (nonanatomic and anatomic/nonanatomic), the number of nodules and the size of tumor. In the LLS group only, blood loss was a risk factor, whereas the Pringle maneuver had a protective effect. The predictive size of tumor for R1 resection was >45 mm in OLS and >30 mm in LLS, > 2 lesions was significative in both groups and blood loss >350 cc in LLS. The model was able to predict R1 resection in OLS (area under curve 0.712; 95% confidence interval 0.665-0.739) and in LLS (area under curve 0.724; 95% confidence interval 0.671-0.745).

Conclusions: The study describes the risk factors for R1 resection after liver surgery for CRLMs, which may be used to plan better the perioperative strategies to reduce the incidence of R1 resection during OLS and LLS.

Download full-text PDF

Source
http://dx.doi.org/10.1097/SLA.0000000000004077DOI Listing

Publication Analysis

Top Keywords

risk factors
24
resection
12
liver surgery
12
ols lls
12
factors resection
12
lls
8
resection liver
8
surgery crlms
8
size tumor
8
blood loss
8

Similar Publications

Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.

View Article and Find Full Text PDF

Background: There are gaps in our understanding of the clinical characteristics and disease burden of the respiratory syncytial virus (RSV) among community-dwelling adults. This is in part due to a lack of routine testing at the point of care. More data would enhance our assessment of the need for an RSV vaccination program for adults in the United Kingdom.

View Article and Find Full Text PDF

Background: An aging population in combination with more gentle and less stressful surgical procedures leads to an increased number of operations on older patients. This collectively raises novel challenges due to higher age heavily impacting treatment. A major problem, emerging in up to 50% of cases, is perioperative delirium.

View Article and Find Full Text PDF

Apolipoprotein E (ApoE), especially the ApoE4 isotype, is suggested to influence the severity of respiratory viral infections; however, this association is still unclear. The presence of allele ε4 impacts the development of flu-like syndromes. This study aimed to evaluate the impact of the Apo E4 isoform on the severity and duration of flu-like syndromes, including the coronavirus disease COVID-19.

View Article and Find Full Text PDF

Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.

Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!