Inflammatory Indices and Preterm Delivery: A New Horizon in Obstetric Risk Assessment by Samet Kırat

“…This study aimed to evaluate the predictive value of systemic inflammatory response indices in identifying pregnant women at risk of preterm delivery. …”
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Sleep behaviors and metabolic-associated fatty liver disease. by Yuqing Cai, Jia Chen, Xiaoyu Deng, Caiyun Wang, Jiefeng Huang, Ningfang Lian

“…<h4>Conclusion</h4>Self-reported snoring was an independent risk factor for MAFLD in young and middle-aged subjects with a moderate predictive value. Therefore, intense monitoring and evaluation of MAFLD in these patients is necessary.…”
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The Spiritual Bypass Scale-Brazilian Adaptation: How Religious Affiliation, Age, and Gender Can Predict Levels of Psychological Avoidance and Spiritualizing by Gabriela Picciotto, Jesse Fox, Craig S. Cashwell, Félix Netol

“…For depression and anxiety, spiritualizing adds a unique, predictive value over and above the demographic variables and superiority (facet of narcissism).…”
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The role of the modified Glasgow prognostic score in predicting postoperative mortality following open-heart surgery by Burak Toprak, Abdulkadir Bilgiç

“…It provides independent predictive value and can enhance preoperative risk assessment, ultimately improving patient outcomes and guiding surgical management.…”
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The Prediction Model of Risk Factors for COVID-19 Developing into Severe Illness Based on 1046 Patients with COVID-19 by Zhichuang Lian, Yafang Li, Wenyi Wang, Wei Ding, Zongxin Niu, Xiaohong Yang, Chao Wu

“…Based on the analysis results, a prediction model for severe conditions and the ROC curve were constructed, and the predictive value of the model was assessed. Logistic regression analysis showed that age (OR = 3.257, 95% CI 10.466–18.584), complications with chronic obstructive pulmonary disease (OR = 7.337, 95% CI 0.227–87.021), cough (OR = 5517, 95% CI 0.258–65.024), and venous thrombosis (OR = 7322, 95% CI 0.278–95.020) were risk factors for COVID-19 patients developing severe conditions during hospitalization. …”
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Plasma Acylcarnitines and Amino Acid Levels As an Early Complex Biomarker of Propensity to High-Fat Diet-Induced Obesity in Mice. by Olga Horakova, Jana Hansikova, Kristina Bardova, Alzbeta Gardlo, Martina Rombaldova, Ondrej Kuda, Martin Rossmeisl, Jan Kopecky

“…Thus, our results document that plasma acylcarnitines and amino acids could serve as a gender-specific complex biomarker of propensity to obesity, however with a limited predictive value in case of the associated impairment of insulin sensitivity.…”
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Epilepsy and COVID-19: is infection related to an increased risk of seizure recurrence? by G. V. Odintsova, A. V. Koloteva, V. D. Bannikova

“…Young age, seizure remission, absence of somatic comorbidities, modern drug use with no interaction with antibiotics and antivirals for the coronavirus disease treatment can be considered as positive predictive value of the course of epilepsy with COVID-19. …”
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Using a machine learning algorithm and clinical data to predict the risk factors of disease recurrence after adjuvant treatment of advanced-stage oral cavity cancer by Sheng-Yao Huang, Ren-Jun Hsu, Dai-Wei Liu, Wen-Lin Hsu

“…Results: The accuracy, sensitivity, and positive predictive value of the model were 57.89%, 57.14%, and 44.44%, respectively. …”
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The prognostic value of the triglyceride-glucose index in predicting recurrence of acute pancreatitis: a retrospective cohort study by Lihui Lin, Yansong Lin, Xin Ling, Zewen Zhang, Xianwen Guo, Zhen Ding

“…The triglyceride–glucose index (TyG-i) is recognized as a reliable marker of insulin resistance (IR), which occurs after an AP attack. However, the predictive value of the TyG-i during the first AP for subsequent recurrence remains unclear. …”
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Characterization of Macular Fundus Autofluorescence Changes in Patients with Retinitis Pigmentosa by Muhammad Jehanzeb Khan, Zainab Rustam, Faiqa Binte Aamir, Maria Chairez Miranda, Imad Shaikh, Anam Akhlaq, Jiawen Liu, Mandeep Singh, Xiangrong Kong, Peter A. Campochiaro

“…Use of the grading scheme for patient populations in interventional trials could help determine if any of the defined AF features provide predictive value for therapeutic responses. …”
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Development and validation of a case-finding algorithm for the identification of non-small cell lung cancers in a region-wide Italian pathology registry. by Andrea Spini, Pietro Rosellini, Cristiana Bellan, Folco Furiesi, Silvano Giorgi, Sandra Donnini, Rosa Gini, Marina Ziche, Francesco Salvo, Giuseppe Roberto

“…NSCLC) was the reference standard for sensitivity (SE); positive predictive value (PPV) was estimated through manual review. …”
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Evaluation of inflammatory parameters in patients with hepatic hydatid disease by Zhijia Fan, Yao Hu, Li Wang, Haoqin Jiang, Dandan Li, Hui Zhao, Zhicheng Wang

“…The levels of inflammatory parameters were compared in the patient and control group, the predictive value of these inflammatory parameters was assessed by the logistic regression analysis and receiver operating characteristic curve, and differences between pre- and post-surgical operations were compared by pair tests.Results Significantly higher levels of platelet distribution width (PDW), eosinophil percentage (EOS %), neutrophil to lymphocyte ratio (NLR), gamma-glutamyl transpeptidase to platelet ratio (GPR) and alkaline phosphatase to platelet ratio (APPR) and lower levels of platelet (PLT) and prognostic nutritional index (PNI) were observed in patients than in controls. …”
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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. by Zhuoran Wang, Anoop D Shah, A Rosemary Tate, Spiros Denaxas, John Shawe-Taylor, Harry Hemingway

“…We evaluated the precision (positive predictive value) and recall (sensitivity) of S3CM in classifying unlabelled texts against the gold standard of manual review. …”
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The relationship between liver stiffness, fat content measured by liver elastography, and coronary artery disease: a study based on the NHANES database by Shengnan Li, Xiaoxue Li, Hua Xiao, Jingjing Dou

“…Finally, predictive models were developed using logistic regression, decision trees, XGBoost classifiers, and neural networks to assess the predictive value of LSM and CAP for CHD risk. During the study period, 12,684 participants were included, of whom 539 (4.24%) were diagnosed with CHD. …”
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mNUTRIC score as a predictor of the lethal outcome in critically ill patients with COVID-19: systematic review and meta-analysis by A. O. Sivkov, N. P. Shen, I. N. Leyderman, O. G. Sivkov

“…The objective was to assess the predictive value of nutritive risk mNUTRIC score in relation to the lethal outcome in ICU patients suffering from COVID-19.Materials and methods. …”
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Pediatric sequential organ failure assessment for predicting outcomes in ECMO-bridged pediatric heart transplant recipients: experience from the largest pediatric heart transplant... by Wang-zi Li, Xian-ming Zhou, Wei Su, Cheng Zhou, Guo-hua Wang, Jia-wei Shi, Nian-guo Dong

“…The death group had higher peak/trough/average pSOFA scores, reinforcing its predictive value. Non-survivors had more complications (ECMO reuse, septic shock, neurological issues) after heart transplant. pSOFA trends distinguished outcomes: survivors showed declining scores (p = 0.006), and average pSOFA ≤8 predicted better survival (p = 0.003). …”
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Relationship between inflammatory markers and long-term prognosis in ICU patients with acute non-ST-segment elevation myocardial infarction by Yanze Li, Hongjin Jin, Guolin Zhang, Yangyou Zhang, Yanchun Ding

“…The long-term prognostic prediction model constructed for NSTEMI patients based on the aforementioned associations demonstrates high clinical predictive value.…”
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Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions by Juan Pablo Botero-Aguirre, MS, Michael Andrés García-Rivera, MS

“…Conclusion: The BERT-based model trained on Spanish-language corpora–based NER model demonstrated strong performance in identifying nonallergic cases (specificity, 99.98%; negative predictive value, 99.97%) and showed promise for clinical decision support. …”
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The Prognostic Nutritional Index (PNI) Is a Powerful Biomarker for Predicting Clinical Outcome in Gastrointestinal Emergency Patients: A Comprehensive Analysis from Diagnosis to Ou... by Ramazan Kıyak, Bahadir Caglar

“…Objective: This study aimed to evaluate the relationship between the Prognostic Nutritional Index (PNI) and demographic characteristics, presenting complaints, clinical diagnoses, and patient outcomes in patients admitted to the emergency department for gastrointestinal (GI) emergencies. The predictive value of PNI for the clinical course of patients with GI emergencies was investigated. …”
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Association between the stress hyperglycemia ratio and all-cause mortality in critically ill patients with T2DM: a retrospective study by Yuanyuan Rui, Bing Wu, Changbao Huang, Qian Li

“…However, it is unknown whether the SHR has the same predictive value in severely ill patients. The main purpose of this research was to investigate the association between the SHR and all-cause mortality in critically ill patients with T2DM.MethodsThe data used in this study were derived from the Medical Information Mart for Intensive Care (MIMIC-IV) database. …”
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