Blood-based biomarkers like prognostic nutritional index (PNI) are readily available biomarkers for immunotherapy efficacy, although the data are limited. So, we aimed to evaluate the association between PNI and overall survival (OS) in immunotherapy-treated patients. For this retrospective cohort study, data of 150 immunotherapy-treated advanced cancer patients were evaluated. The association between clinical factors and OS was evaluated with multivariate Cox-regression analyses. After a median follow-up of 8.5 months, 94 patients died. The median OS was 11.07 months. The low PNI (hazard ratio [HR]: 2.065; p = 0.001), high lactate dehydrogenase (HR: 2.515; p = 0.001) and poor Eastern Cooperative Oncology Group (ECOG) status (HR: 2.164; p = 0.009) was associated with poorer OS in multivariate analyses. In our experience, survival with immunotherapy was impaired in patients with lower PNI and higher lactate dehydrogenase levels and poorer ECOG status.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2217/bmm-2020-0674 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Individualized symptom experience and predictors in cancer patients after oesophagectomy: A latent profile analysis.
Eur J Oncol Nurs
January 2025
School of Nursing, Anhui Medical University, China. Electronic address:
Purpose: In the care for oesophageal cancer, symptom assessment was mainly carried out from the perspective of the total score using scales, which ignored individual differences in symptom experience among patients. To provide personalized symptom management, individual differences among patients with oesophageal cancer warranted further investigation. The objective was to identify the different symptom profiles of patients after oesophagectomy and examine the risk factors affecting the symptom profiles.
View Article and Find Full Text PDFPredictive strength of inflammatory scores for in-hospital mortality in infective endocarditis.
Herz
January 2025
Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, 737 N. Michigan Avenue Suite 1600, 60611, Chicago, IL, USA.
Background: Inflammatory markers have been proposed as prognostic tools for predicting in-hospital mortality in infective endocarditis (IE). Nonetheless, it is unclear whether these markers provide additional prognostic value over established indicators. This study compared nine different inflammation scores to assess their effectiveness in enhancing the prediction of in-hospital mortality.
View Article and Find Full Text PDFThe simplified GLIM criteria for assessment of malnutrition and its correlation with clinical outcomes in Crohn's disease patients.
Front Nutr
January 2025
Research Center for Metabolic and Cardiovascular Diseases, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Objective: Patients with Crohn's disease (CD) commonly experience malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria, a novel approach to assessing malnutrition, has been validated in some diseases. However, there are limited studies in CD patients.
View Article and Find Full Text PDFAssociations between inflammation-related dietary patterns and obesity: A cohort study among Tibetan adults.
Br J Nutr
January 2025
Department of Public Health, Qinghai University Medical College, Xining 810016, China.
Substantial changes resulting from the interaction of environmental and dietary factors contribute to an increased risk of obesity, while their specific associations with obesity remain unclear. Identify inflammation-related dietary patterns (DPs) and explore their associations with obesity among urbanized Tibetan adults under significant environmental and dietary changes.Totally, 1826 subjects from the suburbs of Golmud City were enrolled in an open cohort study, of which 514 were followed up.
View Article and Find Full Text PDFPrognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.
BMC Cardiovasc Disord
January 2025
Department of Cardiology, 920th Hospital of Joint Logistics Support Force, People's Liberation Army of China (PLA), Kunming, Yunnan, China.
Objective: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using a machine learning (ML) algorithm.
Methods: AMI patients who underwent PCI were recruited and randomly divided into non/ACE groups. Inflammatory and nutritional indices were graded according to the laboratory examination reports.
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!