PREDICTIVE RELEVANCE OF DIFFERENT CLINICAL AND LABORATORY FINDINGS FOR HIGHER MORTALITY IN PATIENTS WITH COVID-19 IN A SINGLE CENTER COHORT: NEUTROPHIL/ LYMPHOCYTE RATIO, HIGH CR... by Oğuz Evlice, Fatih Kuş, Özlem Arık, Murat Bektaş

“…Therefore, we aimed to evaluate the predictive value of different clinical and laboratory parameters in disease severity and mortality in patients with COVID-19. …”
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Evaluative performance of TyG-ABSI versus traditional indices in relation to cardiovascular disease and mortality: evidence from the U.S. NHANES by Xin Zheng, Wenjing Zhang, Feng Yang, Leigang Wang, Bing Yu, Bin Liang

“…This study aims to explore the association between TyG-ABSI and cardiovascular events in individuals with MetS and compare its predictive value with the traditional TyG index in this specific population. …”
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Aneuploidy screening in women of advanced age in the public healthcare setting of a low- to middle- income country – an observational cohort study by L Geerts, N Du Toit, M Schoeman

“…In the SA public sector, DS screening and confirmatory genetic testing are fully state subsidised for women of advanced maternal age (AMA) but, owing to the low positive predictive value of AMA-based screening, ultrasound-based screening is also offered. …”
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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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Plasma amyloid‐β oligomerization tendency as a potential predictor for conversion from mild cognitive impairment to Alzheimer's dementia: Findings from the GMCII cohort by Yuhan Xie, Xue Meng, Tao Li, Haifeng Zhang, Yaonan Zheng, SangYun Kim, Chen Zhang, Xin Yu, Huali Wang

“…Abstract INTRODUCTION This study aimed to explore the association between plasma amyloid‐β oligomerization tendency (OAβ) and cognitive performance in Alzheimer's disease (AD) and determine its predictive value for outcomes of mild cognitive impairment (MCI). …”
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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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A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients by Nilüfer Acar Tek, Tevfik Koçak, Süleyman Yeşil, Tevfik Sinan Sözen

“…Malign prostate group (MPG) and benign prostate group (BPG) have the highest percentage of the accurate prediction value of Eq. 80.9% (novel equation MPG) and 64.2% (novel equation BPG). …”
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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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Hemoglobin, albumin, lymphocyte, and platelet (HALP) score predict prognosis in patients with atrial fibrillation and acute coronary syndrome or undergoing percutaneous coronary in... by Yijing Xin, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang

“…Adding the HALP score into the GRACE model or CHA2DS2-VASc model significantly increased the original predictive value on MACEs or all-cause death. Conclusions High HALP was associated with a reduced risk of MACEs risk in patients with AF and ACS or undergoing PCI. …”
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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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