Association between albumin and short-term outcomes of unplanned early readmission emergency department patients: A retrospective cohort study. by Liang Zhou, Xiaona Cai, Kunpeng Hu, Shuo Tang, Dandan Gao, Xiaojuan Zhang, Yin Wu, Li He, Bangfu Zhou, Ruoyu Wu, Zhigang Zhang

“…The purpose of this study was to analyze the predictive value of albumin for the short-term survival of patients with unplanned early readmission to the emergency department (ED).…”
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Dynamic serum lactate dehydrogenase monitoring during the acute phase and association with in-hospital all-cause mortality risk in large vessel occlusion acute ischemic stroke pati... by Weiwei Gao, Lijuan Cai, Xingyu Chen, Renjing Zhu

“…However, the dynamic changes and predictive value of serum LDH during the acute phase in patients with large vessel occlusion acute ischemic stroke (LVO-AIS) remain insufficiently characterized. …”
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A model based on preoperative nutrition-inflammation score for predicting mucocutaneous separation after enterostomy in colorectal cancer patients by Jie Yuan, Yali Hu, Jiaying Wang, Le Chang, Ting Guan, Xiaochao Fu, Wangwang Sheng, Jingyu Nian, Bing Zhu, Jifu E, Cheng Peng

“…The aim of the present study is to investigate the predictive value of preoperative nutrition-inflammation markers for MCS and establish a novel predictive model. …”
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Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery by W. Scott Watkins, Edgar J. Hernandez, Thomas A. Miller, Nathan R. Blue, Raquel Mae Zimmerman, Eric R. Griffiths, Erwin Frise, Daniel Bernstein, Marko T. Boskovski, Martina Brueckner, Wendy K. Chung, J. William Gaynor, Bruce D. Gelb, Elizabeth Goldmuntz, Peter J. Gruber, Jane W. Newburger, Amy E. Roberts, Sarah U. Morton, John E. Mayer, Christine E. Seidman, Jonathan G. Seidman, Yufeng Shen, Michael Wagner, H. Joseph Yost, Mark Yandell, Martin Tristani-Firouzi

“…Here, we use artificial intelligence (AI) technologies to explore the predictive value of whole exome sequencing in forecasting clinical outcomes following surgery for congenital heart defects (CHD). …”
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A clinically applicable AI system for detection and diagnosis of bone metastases using CT scans by Yun Zhang, Jiao Li, Qiuxia Yang, Shaohan Yin, Jing Hou, Xiaohuan Cao, Shanshan Ma, Bin Wang, Ma Luo, Fan Zhou, Jiahui Xu, Shiyuan Wang, Yi Wu, Jian Zhang, Xiao Luo, Zehong Yang, Weimei Ma, Daiying Lin, Yiqiang Zhan, Xiang Sean Zhou, Xiaoping Yu, Dinggang Shen, Rong Zhang, Chuanmiao Xie

“…BLDS improves radiologists’ lesion-wise sensitivity by 22.2% in BM detection and reduces reading time by 26.4%, while maintaining 90.2% patient-wise sensitivity and 98.2% negative predictive value in real-world validation (n = 54,610). …”
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Prognostic significance of FT3 levels in hypertrophic cardiomyopathy patients with HFpEF by Zhen-Yu Yang, Zhi-Yuan Zhang, Wei-Jie Zhang, Da Liu, Fu-Shi Piao, Xiangyu Yan, Fang-Tao Shi, Min Yang, Jing Chen, Sheng-song Zhu, Hong-Hou He, Pei-Hong Wu, Cheng Qian, Min Lin, Jun-Qing Feng, Chun-jin Lai

“…Data on demographic and clinical variables, including FT3, were analyzed using univariate and multivariate Cox regression, Kaplan–Meier (KM) survival analysis, and restricted cubic spline (RCS) analysis to explore prognostic factors and FT3's nonlinear predictive value.ResultsAge, atrial fibrillation, and NT-proBNP levels significantly influenced prognosis, while FT3 emerged as an independent predictor of all-cause mortality and cardiac transplantation (P < 0.001). …”
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Mapping grey matter and network abnormalities in seizure-onset patterns via stereotactic EEG by Tao Feng, Yanfeng Yang, Yihe Wang, Xiaotong Fan, Tianren Wang, Sichang Chen, Penghu Wei, Yongzhi Shan, Guoguang Zhao

“…Hierarchical clustering explored network subtypes, and ROC analysis assessed the predictive value of VBM and IDSCN measures for surgical outcomes. …”
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Validation of tRNA-derived fragments as diagnostic biomarkers in suspected acute stroke; limitations in analysis and quantification methods by Tamar Woudenberg, M. Leontien van der Bent, Daphne A.L. van den Homberg, T. Truc My Nguyen, Marieke J.H. Wermer, Ido R. van den Wijngaard, Paul H.A. Quax, A. Yaël Nossent, Nyika D. Kruyt

“…Out of 12 measured tRFs, only the fragments ArgTCG53–67 and TyrGTA1–19 showed a trend for differential expression between stroke subtypes, but with insufficient predictive value to be of use in clinical practice. Combining expression data of specific tRFs into a joint model did not improve the predictive ability. …”
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Early metabolic biomarkers in neonates of diabetic mothers: predictive insights from amino acid and acylcarnitine profiling by Atalay Demirel, Saygin Abali, Neslihan Yildirim Saral, Gokberk Zeybel, Ariorad Moniri, Bengi Agca, Ahmet Berkan Ciftci, Ihsan Gorkem Colakoglu, Seniz Nur Pilevne, Emre Tunccan, Eylul Donmez, Bengisu Guner-Yilmaz, Eda Albayrak, Ayse Korkmaz, Mustafa Serteser, Serdar Beken

“…Longitudinal studies are warranted to confirm the predictive value of these biomarkers and to clarify the long-term impacts of metabolic disturbances in GDMs.…”
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A large language model based pipeline for extracting information from patient complaint and anamnesis in clinical notes for severity assessment by Hui Gao, Kaipeng Wang, Yuan Yuan, Yueguo Wang, Qingyuan Liu, Yulan Wang, Jian Sun, Wenwen Wang, Huanli Wang, Shusheng Zhou, Kui Jin, Mengping Zhang, Yinglei Lai

“…At early stage, as vital signs were typically not yet measured, the predictive value of patient complaint and anamnesis was illustrated (evidenced by an improvement in AUC-ROC from 0.746 to 0.802). …”
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Enhancing the accuracy of mental health assessments through the integration of self-report and objective measures: A convergence study utilizing biosignals and 14-day wearable data by Nayeon Kwon, Dongwon Lee, Soree Hwang, Soomin Yang, Inchan Youn, Hyuk-June Moon, Sungmin Han

“…This study examined the predictive value of self-reported and objective measures in assessing depressive symptoms and evaluated whether their integration improves model performance. …”
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Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…The model established with the above 12 independent predictors achieved an area under the curve of 0.816 (95% CI: 0.807∼0.824); the risk prediction value of 0.211 was the best cut-off value and showed good sensitivity (75.50%), specificity (72.40%), accuracy (73.14%), F1 score (0.802), precision (89.91%), and recall (72.38%).ConclusionThe prevalence of cognitive impairment in older adults is high in Northwest China. …”
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Prognostic value of myocardial bridging versus non-obstructive CAD: a long-term follow-up study by Zengfa Huang, Beibei Cao, Yang Yang, Yi Ding, Xinyu Du, Wanpeng Wang, Mei Li, Zuoqin Li, Xi Wang, Xu Zhao, Xiang Wang

“…Abstract We aim to investigate if myocardial bridging (MB) provides predictive value beyond its association with non-obstructive coronary artery disease (CAD) burden in a long-term follow-up and multicenter study. …”
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A multivariate cell-based liquid biopsy for lung nodule risk stratification: Analytical validation and early clinical evaluation by Jason D. Berndt, Fergal J. Duffy, Mark D. D'Ascenzo, Leslie R. Miller, Yijun Qi, G. Adam Whitney, Samuel A. Danziger, Anil Vachani, Pierre P. Massion, Stephen A. Deppen, Robert J. Lipshutz, John D. Aitchison, Jennifer J. Smith

“…Post hoc integration with CT imaging features yielded a combined model with 90 % sensitivity, 64 % specificity, and 95 % negative predictive value at 25 % prevalence, suggesting clinical utility and surpassing performance of existing rule-out tests. …”
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Impact of the Triglyceride–Glucose index on all-cause and cardiovascular mortalities across different metabolic health and obesity statuses in US adults by Tao Yi, Zi Lin, Feng Hu, Jinhua Chen, Lianglong Chen

“…This finding indicates that the predictive value of the TyG index for mortality differs across populations, highlighting the necessity of accounting for metabolic status when the TyG index is used for prognostic evaluation.…”
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Prognostic effect of body roundness index on all-cause mortality among US older adults by Yiling Yang, Xiaomin Shi, Xiaohong Wang, Shu Huang, Jia Xu, Chen Xin, Ziyan Li, Yizhou Wang, Yusong Ye, Sha Liu, Wei Zhang, Muhan Lv, Xiaowei Tang

“…This NHANES-based study highlights the U-shaped relationship between BRI and all-cause mortality among U.S. older adults, suggesting that the BRI has predictive value for mortality outcomes. The findings offer compelling support for utilizing BRI as a non-invasive mortality risk screening tool.…”
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Functional Imaging of Liver Cancer (FLIC): Study protocol of a phase 2 trial of 18F-DCFPyL PET/CT imaging for patients with hepatocellular carcinoma. by Esther Mena, Joanna Shih, Joon-Yong Chung, Jennifer Jones, Atoosa Rabiee, Cecilia Monge, Baris Turkbey, Liza Lindenberg, Kilian E Salerno, Michael Kassin, Brad Wood, Jonathan Hernandez, Roberto Maass-Moreno, Babak Saboury, Neha Jakhete, Jason K Molitoris, Keith R Unger, Peter L Choyke, Freddy E Escorcia

“…The primary endpoint is the positive predictive value of 18F-DCFPyL-PET for HCC as confirmed by histopathology. …”
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Identification of optimal cutoffs for obesity and lipid-related indices in screening activities of daily living disability in Chinese middle-aged and elderly adults by Jian Jiang, Jian Jiang, Shun Liu, Nan Wei, Zhifeng Lin, Yiming Hu, Xiaoqi Chen, Ling Yao, Zhiying Yao, Zhiying Yao, Qingquan Chen

“…All 13 indices had predictive value for ADL disability according to the ROC analysis (all AUCs > 0.7). …”
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Unawareness of the disease in patients with schizophrenia: diagnosis and insight-oriented psychotherapy by O. I. Osokina, B. B. Ivnyev, G. G. Putyatin, Ye. M. Denisov, S. G. Ushenin

“…Correlations were found between a higher level of patient awareness of the disease and its better prognosis (r= -0.507; p<0.05), a higher level of social functioning (r= 0.478; p<0.05), quality of life (r= -0.311; p<0.05), cognitive functioning (r= -0.508; p<0.05) and a lower intensity of defensive psychological mechanisms (r= -0.401; p<0.05). A different predictive value of some insight components was found. …”
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Value of serum-free light chain measurements in response and progression assessment in multiple myeloma with monoclonal protein measurable by electrophoresis by Elham Askari, Angela Dispenzieri, Francis K. Buadi, Suzanne R. Hayman, Morie A. Gertz, Prashant Kapoor, Wilson Gonsalves, Taxiarchis Kourelis, David Dingli, Rahma Warsame, Nelson Leung, Yi Lin, Eli Muchtar, Joselle Cook, Moritz Binder, Nadine Abdallah, Lisa Hwa, Miriam Hobbs, Amie Fonder, David Murray, Robert. A. Kyle, S. Vincent Rajkumar, Shaji K. Kumar

“…The response was detected earlier by sFLC (1.1 months, 95% CI 1.06–1.17), and sFLC ≥ PR after two cycles of induction demonstrated a strong predictive value for subsequent electrophoresis responses (OR 9.33, p < 0.001). …”
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