Background: Several previous studies have revealed that the Glasgow Prognostic Score (GPS) is a clinically useful scoring system to predict the prognosis of patients with various kinds of advanced cancers. However, there have been few reports on the relationship between the GPS and prognosis after hepatectomy for hepatocellular carcinoma (HCC). Therefore, we performed an analysis of the relationship between the GPS and prognosis after hepatectomy for HCC.

Methods: Between January 2005 and December 2009, 352 HCC patients underwent hepatectomy at Kumamoto University Hospital. Nineteen clinicopathologic factors were analyzed, using univariate and multivariate analyses.

Results: Univariate analysis showed that significant risk factors for poor survival included serum albumin level (<3.5 g/dL), tumor size (>35 mm), presence of ascites, portal vein invasion, operation time (>400 min), blood loss (>360 mL), requirement for blood transfusion, and GPS. Multivariate analysis revealed that tumor size [hazard ratio (HR) 3.355; p = 0.003], operation time (HR 2.634; p = 0.006), portal vein invasion (HR 2.419; p = 0.009), and GPS (HR 3.796; p < 0.001) were independent factors for poor prognosis.

Conclusion: The GPS was demonstrated to be a statistically significant prognostic factor after hepatectomy for HCC.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10147-012-0451-3DOI Listing

Publication Analysis

Top Keywords

glasgow prognostic
8
prognostic score
8
prognostic factor
8
factor hepatectomy
8
hepatectomy hepatocellular
8
hepatocellular carcinoma
8
relationship gps
8
gps prognosis
8
prognosis hepatectomy
8
factors poor
8

Similar Publications

Background: This retrospective study aimed to identify key prognostic factors for patients with traumatic intracranial hemorrhage (TICH) and develop a comprehensive nomogram for prognostic assessment.

Methods: A retrospective study was carried out on TICH patients at a single-center hospital from October 2013 to September 2022. Using logistic regression analyses, key prognostic factors for TICH were identified and used to create a predictive nomogram model.

View Article and Find Full Text PDF

Objective: Intracerebral hemorrhage (ICH) is a common cerebrovascular disease characterized by high mortality and disability rates. Neuritin, significantly expressed in injured brain tissues, is implicated in the molecular mechanisms underlying acute brain injury. We aimed to explore the prognostic and predictive value of serum neuritin in ICH.

View Article and Find Full Text PDF

Objective: Neurological deterioration after mild traumatic brain injury (TBI) has been recognized as a poor prognostic factor. Early detection of neurological deterioration would allow appropriate monitoring and timely therapeutic interventions to improve patient outcomes. In this study, we developed a machine learning model to predict the occurrence of neurological deterioration after mild TBI using information obtained on admission.

View Article and Find Full Text PDF

The retrospective study was conducted at Baoding No.1 Central Hospital, China, and comprised data from July 2021 to January 2023, and aimed at exploring the relationship of neuron-specific enolase, D-dimer and lactate dehydrogenase with prognosis in patients with serous traumatic brain injury. Data of 100 patients was categorised into favourable prognosis group A having 50(50%) patients and unfavourable prognosis group B having 50(50%) patients, and was compared with as many healthy controls in group C.

View Article and Find Full Text PDF

Background/aim: The effectiveness of a transanal drainage tube (TAT) for the prevention of anastomotic leakage after double stapling technique (DST) anastomosis in colorectal cancer has been reported. Previously, TATs had been placed and connected to drainage bags. It was considered that a higher decompression effect could be expected by inserting an open-type TAT, without connection to a drainage bag.

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!