Objective: This work aimed to explore the prognostic risk factors of lung cancer (LC) patients and establish a line chart prediction model.
Methods: A total of 322 LC patients were taken as the study subjects. They were randomly divided into a training set (n = 202) and a validation set (n = 120). Basic information and laboratory indicators were collected, and the progression-free survival (PFS) and overall survival (OS) were followed up. Single-factor and cyclooxygenase (COX) multivariate analyses were performed on the training set to construct a Nomogram prediction model, which was validated with 120 patients in the validation set, and Harrell's consistency was analyzed.
Results: Single-factor analysis revealed significant differences in PFS (<0.05) between genders, body mass index (BMI), carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), squamous cell carcinoma antigen (SCCA), treatment methods, treatment response evaluation, smoking status, presence of pericardial effusion, and programmed death ligand 1 (PD-L1) at 0 and 1-50%. Significant differences in OS (<0.05) were observed for age, tumor location, treatment methods, White blood cells (WBC), uric acid (UA), CA125, pro-gastrin-releasing peptide (ProGRP), SCCA, cytokeratin fragment 21 (CYFRA21), and smoking status. COX analysis identified male gender, progressive disease (PD) as treatment response, and SCCA > 1.6 as risk factors for LC PFS. The consistency indices of the line chart models for predicting PFS and OS were 0.782 and 0.772, respectively.
Conclusion: Male gender, treatment response of PD, and SCCA > 1.6 are independent risk factors affecting the survival of LC patients. The PFS line chart model demonstrates good concordance.
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http://dx.doi.org/10.2147/OTT.S444396 | DOI Listing |
Eur J Med Res
December 2024
Department of Neurosurgery, Neuromedicine Center, Beijing Shijitan Hospital, Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, People's Republic of China.
Background: Full-endoscopic microvascular decompression (fE-MVD) is an emerging treatment option for trigeminal neuralgia (TN). However, the risk factors associated with postoperative recurrence of TN after fE-MVD procedure remain controversial. The aim of the present study was to summarize the surgical technique of fE-MVD for the treatment of TN and to develop a predictive model for recurrence at 1 year postoperatively based on independent risk factors.
View Article and Find Full Text PDFJ Orthop Surg Res
December 2024
Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Objectives: This study aims to identify predictors of knee osteoarthritis (KOA) risk in middle-aged population, construct and validate a nomogram for KOA in this demographic.
Methods: From June to December 2020, we conducted a cross-sectional survey on 5,527 middle-aged individuals from Changsha and Zhangjiajie cities in Hunan Province, selected using a stratified multi-stage random sampling method. Data collection involved a structured questionnaire encompassing general demographic, physical condition, and lifestyle behaviors dimensions.
J Clin Nurs
December 2024
School of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Aim: To investigate the risk factors associated with frailty in older patients with ischaemic stroke, develop a nomogram and apply it clinically.
Design: A cross-sectional study.
Methods: Altogether, 567 patients who experienced ischaemic strokes between March and December 2023 were temporally divided into training (n = 452) and validation (n = 115) sets and dichotomised into frail and non-frail groups using the Tilburg Frailty Indicator scale.
J Sch Psychol
February 2025
Department of Educational Psychology, University of Wisconsin-Madison, United States.
The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance on a state end-of-year achievement test.
View Article and Find Full Text PDFHeart Lung
December 2024
Department of Emergency Intensive Care Unit, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214122, PR China. Electronic address:
Background: Mechanical ventilation (MV) is crucial for managing critically ill patients; however, extubation failure, associated with adverse outcomes, continues to pose a significant challenge.
Objective: The purpose of this prospective observational study was to develop and validate a predictive numerical model utilizing bedside ultrasound to forecast extubation outcomes in ICU patients.
Methods: We enrolled 300 patients undergoing MV, from whom clinical variables, biomarkers, and ultrasound parameters were collected.
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