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  1. 761
  2. 762

    Association of Inflammatory and Metabolic Markers with Mortality in Patients with Postoperative Femur Fractures in the Intensive Care Unit by Metin Kilinc, Enes Çelik, Ibrahim Demir, Semih Aydemir, Hakan Akelma

    Published 2025-03-01
    “…Linear regression, logistic regression, and Receiver Operating Characteristic (ROC) analyses were performed to determine the predictive value of these markers for ICU mortality. <i>Results</i>: The mean age of the patients was 76.3 ± 9.6 years, and 52.1% were female. …”
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  3. 763

    Construction of a predictive model for cerebral small vessel disease MRI burden based on β2-microglobulin and lipoprotein(a) by Xiaoyan LI, Hongge JI, Tingting WANG, Yingying LI, Xijing ZHA, Bin LI, Dan JIANG

    Published 2025-08-01
    “…Objective To construct a predictive model for cerebral small vessel disease (CSVD) MRI burden based on β2-microglobulin (β2-MG) and lipoprotein(a) [Lp(a)], analyze its predictive value, and validate the model. MethodsA total of 138 CSVD patients admitted to Anhui No.2 Provincial People’s Hospital from February 2023 to August 2024 were enrolled. …”
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  4. 764

    Development of an electrocardiographic prediction model for outflow tract idiopathic premature ventricular contraction with decreased left ventricular ejection fraction by Pinliang Liao, Xiaolian Cai, Wen Zhang, Min Ou, Heling Ren, Maoqin Shu

    Published 2025-07-01
    “…Decision curve analysis (DCA) assessed clinical applicability, and net reclassification improvement (NRI) along with integrated discrimination improvement (IDI) indices were calculated to assess additional predictive value compared with traditional PVC burden. …”
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  5. 765

    Effect of GLP-1 Receptor Agonists (Liraglutide) on Glycemic Parameters and Circulating miRNA Expression in Type 2 Diabetes Mellitus by Aqeel Meer AL-ZAMILY

    Published 2025-06-01
    “…ROC analysis showed strong diagnostic performance for miRNA-146a (AUC = 0.869) and miRNA-222 (AUC = 0.816), with moderate predictive value for miRNA-21 (AUC = 0.709). Conclusion: Liraglutide displayed significant glycemic control in patients with T2DM. …”
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  6. 766

    Distribution of variants of the <i>TNFA</i> gene regulatory sites among Russian women of Caucasian origin with leiomyoma by V. I. Konenkov, A. V. Shevchenko, V. F. Prokofiev, E. G. Koroleva

    Published 2025-06-01
    “…The diagnostic specificity of this index was 100%, and the predictive value of this quotient reached 13.3, thus implying a 99.9% probability of a correct prediction. …”
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  7. 767

    A nomogram for predicting malnutrition risk in patients with chronic heart failure and correlation study between GHRL, MSTN, CRP, Hs-CRP by Yuling Zha, Chengshuai Liu, Yuping Zhou, Miao Kong, Jinlei Liu, Lu Jing, Hailati Gulimila

    Published 2025-08-01
    “…The nomogram developed in this study demonstrated robust predictive value for identifying malnutrition in this population. …”
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  8. 768

    Association between international normalized ratio-to-albumin ratio and mortality in critically ill patients with gastrointestinal bleeding: a retrospective MIMIC-IV database study by Xingyi Yang, Shasha Ying, Lihong Lv, Yishu Ji, Jiaqian Ying, Huyan Ke

    Published 2025-08-01
    “…Abstract Background While the international normalized ratio-to-albumin ratio (PTAR) is an established independent prognostic indicator for various diseases, its predictive value for clinical outcomes in critically ill patients with acute gastrointestinal bleeding (GIB) has not been systematically evaluated. …”
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  9. 769

    Association of Heart Rate Variability with the Psychosocial Stress Level in Men 41-44 Years Old Living in Moscow by O. M. Drapkina, V. B. Rozanov, A. V. Kontsevaya, O. Yu. Isaykina, G. A. Muromtseva, M. B. Kotova, E. S. Akarachkova

    Published 2022-07-01
    “…The results of correlation and multiple regression analysis confirmed that these HRV indicators are statistically significantly associated not only with PS, but also with other indicators (age, waist / hip ratio, diastolic blood pressure). However, their predictive value turned out to be low, and the proportion of the explained variance of HRV indices ranged from 2.5 to 13.1%.Conclusion. …”
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  10. 770

    Time-Course Renal and Pulmonary Injury Analysis and Bioinformatics Screening of Core Pathogenic Genes and Immune Cell Infiltration Patterns in a Sepsis by Apizi A, Li J, Kamilijiang P, Yang CB, Wang ZK, Chai RF, Yu ZX

    Published 2025-08-01
    “…The five identified sepsis-related genes have predictive value in assessing sepsis risk. Insights into the interactions between key genes and immune cell populations may contribute to improved clinical management of sepsis.Keywords: GEO, immune cell infiltration, key genes, nomogram, sepsis…”
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  11. 771

    Value of C⁃reactive protein/albumin ratio,pancreatic stone protein combined with interleukin⁃12 on prediction of offline extubation outcomes of patients with mechanical ventilation... by HOU Hongmei,PENG Feng,XIAO Yun

    Published 2025-08-01
    “…Objective To explore the predictive value of the ratio of C ⁃ reactive protein to albumin(CRP/ALB),pancreatic stone protein(PSP),and interleukin⁃12(IL⁃12)for the outcome of offline extubation in patients withmechanical ventilation in severe pneumonia,in order to guide clinical decision⁃making and enhance weaning success rates. …”
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  12. 772

    A Multicenter Retrospective Study Predicting Early Noninvasive Ventilation Failure in Patients With Acute Hypoxic Respiratory Failure by Xiaoyi Liu, Hui Liu, Lijuan Chen, Xiangde Zheng, Hui Ran, Lili Chen, Rui Zhou, Yufeng Wang

    Published 2025-07-01
    “…ABSTRACT Background Volume OXygenation (VOX) index has good efficacy in predicting the failure of high‐flow nasal cannula therapy. However, its predictive value for treatment failure in patients receiving noninvasive ventilation (NIV) remains uncertain. …”
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  13. 773

    GPD1L as a potential biomarker associated with Treg cell infiltration and lipid metabolism in clear cell renal cell carcinoma by Ming Yang, Dejiang Pang, Chuhui Gong, Kangping Song, Hongbo Ma, Yu Yang, Shujin Guo, Liqiong Wang

    Published 2025-08-01
    “…The expression of GPD1L in ccRCC cell lines and tissue samples was verified by western blotting, real time qPCR and immunohistochemistry. The predictive value of GPD1L was evaluated by survival analysis, ROC curve and Cox regression analysis. …”
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  14. 774

    Radiomic-based models are able to predict the pathologic response to different neoadjuvant chemotherapy regimens in patients with gastric and gastroesophageal cancer: a cohort stud... by Annamaria Agnes, Luca Boldrini, Federica Perillo, Huong Elena Tran, Maria Gabriella Brizi, Riccardo Ricci, Jacopo Lenkowicz, Claudio Votta, Alberto Biondi, Riccardo Manfredi, Vincenzo Valentini, Domenico M. D’Ugo, Roberto Persiani

    Published 2025-05-01
    “…Radiomic models (in the entire case series and according to NAC regimens) were evaluated using the receiver operating characteristic area under the curve (AUC), sensitivity, and negative predictive value (NPV). Results The study included 77 patients undergoing NAC and subsequent tumor resection. …”
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  15. 775

    Relationship between quantitative parameters of contrast⁃enhanced ultrasound and EMT⁃related markers and prognosis in patients with liver metastasis of colorectal cancer by CHEN Xi*,SUN Gaixia,WANG Likun,WU Xueliang

    Published 2025-07-01
    “…<b>Objective</b> To investigate the relationship between quantitative analysis of contrast-enhanced ultrasound(CEUS) and epithelial mesenchymal transition(EMT) related markers in patients with colorectal cancer liver metastasis(CRLM),and the predictive value of CEUS for the prognosis of patients. …”
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  16. 776

    Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study by Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

    Published 2025-05-01
    “…ML models were constructed to evaluate the predictive value of maternal parameter changes on preeclampsia combined with FGR. …”
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  17. 777

    Using the ORACLE Risk Score to Assess Hemorrhagic Risk in Patients with Acute Coronary Syndrome and Atrial Fibrillation by V. A. Brazhnik, L. O. Minushkina, A. D. Erlikh, E. D. Kosmacheva, M. A. Chichkova, N. R. Khasanov, D. A. Zateyshchikov

    Published 2021-03-01
    “…The ORACLE risk score had the greatest prognostic value (area under the ROC curve 0.874±0.0416, sensitivity 82.7%, specificity 79.1%). The predictive value of the HAS-BLED risk score was slightly lower (area under the ROC curve 0.710±0.0360, sensitivity 63.2%, specificity 56.8%). …”
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  18. 778

    Association between different dimensions of the C-reactive protein-triglyceride-glucose index and future cardiovascular disease risk in individuals with cardiovascular-kidney-metab... by Jintao Chen, Liying Yan, Lei He, Weixue Wang

    Published 2025-07-01
    “…Longitudinal monitoring of CTI changes over time can help early identification of high CVD risk in this population, and its predictive value is significantly superior to that of the TyG index. …”
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  19. 779

    Detection of urinary levels of matrix metalloproteinase-7 and tumor necrosis factor-like weak inducer of apoptosis in patients with IgA nephropathy and values in predicting disease... by Ma Yong-duo, Wang Cong, Li Hai-xiang, Wu Huan

    Published 2022-05-01
    “…ObjectiveTo explore the expressions of urinary matrix metalloproteinase-7 (MMP-7) and tumor necrosis factor-like weak inducer of apoptosis (TWEAK) in patients with IgA nephropathy (IgAN) and examine its predictive value.MethodsFrom January 2018 to March 2021,115 IgAN patients and 50 normal subjects (control group) were selected.Based upon the progress of IgAN,115 cases of IgAN patients were divided into two groups of IgAN progressive (<italic>n</italic>=42) and IgAN non-progressive (<italic>n</italic>=73).According to the IgAN Oxford classification criteria,they were assigned into two groups of MEST-C≥3 (<italic>n</italic>=45) and MEST-C&lt;3 (<italic>n</italic>=70).The levels of urinary MMP-7 and TWEAK were compared between two groups.Multivariate Logistic regression was utilized for analyzing the risk factors of IgAN progression.Receiver operating characteristic (ROC) curve was plotted for examining the values of urinary MMP-7 and TWEAK levels in predicting IgAN progression.ResultsThe levels of urinary MMP-7 (15.72±7.85 <italic>vs</italic> 6.92±0.53 ng/mL) and TWEAK were significantly higher in IgAN progressive group than those in IgAN non-progressive group [(958.47±42.60) <italic>vs</italic> (206.73±15.18)ng/mL,<italic>P</italic>&lt;0.001].The levels of urinary MMP-7 [(23.92±9.27) <italic>vs</italic> (18.15±8.36) ng/mL] and TWEAK [(1408.70±71.15) <italic>vs</italic> (1036.28±50.72) ng/mL] were significantly higher in MEST-C≥3 score group than those in MEST-C&lt;3 score group (<italic>P</italic>&lt;0.001).Multivariate Logistic regression analysis indicated that elevated levels of MMP-7 [<italic>OR</italic>=2.986 95%<italic>CI</italic>(2.146,-8.513)] and TWEAK [<italic>OR</italic>=3.370 95%<italic>CI</italic>(2.752,-10.118)] were the risk factors affecting the progression of IgAN.Receiver operating characteristic (ROC) curve indicated that the area under the curve (AUC) of MMP-7 and TWEAK in predicting IgAN progression was 0.948 (95% <italic>CI </italic>0.885-0.997) with a sensitivity of 97.5% and a specificity of 85.0%.Correlation analysis indicated that the urinary levels of MMP-7 and TWEAK were significantly positively correlated with M,E,S and T (<italic>P</italic>&lt;0.001).ConclusionThe elevated urinary levels of MMP-7 and TWEAK are the risk factors affecting the progression of IgAN.Both may be used as biological indicators for predicting the progression of IgAN.…”
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  20. 780

    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

    Published 2022-03-01
    “…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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