The Predictive Value of Computed Tomography Findings for Poor Visual Outcome in Traumatic Eye Injury by Ping Ren, Yan Jiao, Chunling Zhang, Guoyue Chen

“…In this study, we have evaluated the predictive value of computed tomography (CT) scan findings for poor visual outcomes in patients with traumatic eye injuries. …”
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Predictive value of lactate levels for mortality in pneumonia: a systematic review and meta-analysis by Ziyun Hu, Yanfei Qiang, Xiaolin Yan

“…This systematic review and meta-analysis aim to determine the predictive value of lactate levels for mortality in patients with pneumonia. …”
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Cardiovascular Risk Prediction Scores in Type 1 Diabetes by Sebhat Erqou, MD, PhD, Ahmed Shahab, MD, Fayez H. Fayad, MD, Mohammed Haji, MD, Matthew F. Yuyun, MD, PhD, Jacob Joseph, MD, Wen-Chih Wu, MD, MPH, Amanda I. Adler, MD, PhD, Trevor J. Orchard, MD, PhD, Justin B. Echouffo-Tcheugui, MD, PhD

“…Results: In a meta-analysis of observational studies of CVD risk scores in T1DM individuals, including 11 studies and 73,664 participants (mean age of 34 years, mainly White individuals and male [55%]), we evaluated 12 CVD risk prediction models (7 T1DM-specific, 1 type 2 diabetes–specific, and 4 general population models). …”
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Nutritional scores predict the prognosis of patients with pulmonary tuberculosis by Junyi Tan, Xiaofeng Shi, Yinhuan Pi, Mingque Xiang, Tianju Li

“…BackgroundAlthough malnutrition is associated with poor prognosis in Pulmonary Tuberculosis (PTB) patients, no nutrition-based prediction model has been established for PTB. Herein, we explored the clinical utility of common nutrition scores in predicting the prognosis of PTB patients.MethodsWe retrospectively collected clinical baseline data from 167 patients with secondary PTB who had not previously received anti-TB treatment. …”
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Early Detection and Management of Cognitive Impairment in Parkinson's Disease: A Predictive Model Approach by Li Li, Shan Tang, Bin Hao, Xiaoqin Gao, Haiyan Liu, Bo Wang, Hui Qi

“…Methods A total of 351 PD patients were enrolled from the Department of Neurology at the First Hospital of Shanxi Medical University between January 2022 and December 2023. …”
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Predictive modeling of gestational weight gain: a machine learning multiclass classification study by Audêncio Victor, Hellen Geremias dos Santos, Gabriel Ferreira Santos Silva, Fabiano Barcellos Filho, Alexandre de Fátima Cobre, Liania A. Luzia, Patrícia H.C. Rondó, Alexandre Dias Porto Chiavegatto Filho

“…This study aims to develop and evaluate machine learning models to predict GWG categories: below, within, or above recommended guidelines. …”
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Predictive factors and pharmacological preventive interventions for atrial fibrillation after aortic valve replacement by Lu Chen, Yu Liu, Junmei Ge

“…Abstract Objective This study aims to investigate the predictive factors for postoperative atrial fibrillation (POAF) following aortic valve replacement (AVR) and evaluate the preventive effect of combined atorvastatin and metoprolol therapy on POAF. …”
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Assessıng the predıctıve accuracy of blood-based bıomarkers ın neonatal outcomes for pregestatıonal dıabetes mellıtus by Ayse Cigdem Bayrak, Erdem Fadiloglu, Haticegul Tuncer, Edip Alptug Kir, Umutcan Kayikci, Ozgur Deren

“…Abstract Objective: This retrospective study aimed to investigate blood-based immune-inflammatory biomarkers (IIBs) in predicting neonatal outcomes in pregnancies with pregestational diabetes mellitus (PGDM).PIV[(neutrophil×platelet×monocyte)/lymphocyte)], SII (neutrophil×platelet/lymphocyte), and NLR neutrophil/lymphocyte) values were evaluated in all three trimesters, and their correlation with neonatal outcomes was examined. …”
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Predictive performance of qSOFA in confirmed COVID-19 patients presenting to the emergency department by Farhad Heydari, Saeed Abbasi, Kiana Shirani, Majid Zamani, Babak Masoumi, Saeed Majidinejad, Mahsa Sadeghi-Aliabadi, Mohammadreza Arbab

“…The correlation of the qSOFA, Systemic Inflammatory Response Syndrome criteria (SIRS), Pneumonia Severity Index (PSI), and confusion, urea, respiratory rate, blood pressure, 65 years of age and older (CURB-65) scores for 14-day mortality were evaluated. The area under a receiver operating characteristic (AUROC) curve analysis was calculated to compare the effectiveness of qSOFA, SIRS, PSI, and CURB-65 to predict severe disease. …”
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Construction and Verification of Risk Predictive Nomogram in Patients of Connective Tissue Disease with Severe Pneumonia by Zhang C, Zou Z

“…Chuanrong Zhang,1 Zhonghui Zou2 1Department of Rheumatology and Immunology, Chongqing University Three Gorges Hospital, Chongqing, 404000, People’s Republic of China; 2Department of Cardiovascular Surgery, Chongqing University Three Gorges Hospital, Chongqing, 404100, People’s Republic of ChinaCorrespondence: Zhonghui Zou, Department of Cardiovascular Surgery, Chongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, Chongqing, 404100, People’s Republic of China, Email zouzhonghui@sina.comPurpose: To construct Risk Predictive Nomogram in patients of connective tissue disease (CTD) with severe pneumonia.Methods: Eighty CID patients with severe pneumonia in rheumatology and respiratory department of chongqing University Three Gorges hospital from January 2020 to December 2022 were retrospectively reviewed and analyzed. …”
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Predictive Validity of Screening Tools and Role of Self-Esteem and Coping in Postpartum Depression Risk by Nadica Motofelea, Alexandru Catalin Motofelea, Ionela Florica Tamasan, Teodora Hoinoiu, Jabri Tabrizi Madalina Ioana, Maja Vilibić, Antoniu Ionescu Cringu, Brenda Cristiana Bernad, Sorin Trinc, Dan-Bogdan Navolan

“…Early detection and intervention are critical to improving health trajectories. <b>Material and Methods</b>: This narrative review compares the predictive validity of commonly used screening instruments for PPD, including the Edinburgh Postnatal Depression Scale (EPDS), Patient Health Questionnaire-9 (PHQ-9), and brief tools like PHQ-2 and PHQ-4. …”
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Predictive factors for response to viscosupplementation in patients with knee osteoarthritis: an analysis of clinical and imaging factors by Gustavo Rossanese Pinto, Guilherme Conforto Gracitelli, Fernando Cury Rezende, Claudio Gattas, Thais Cristina Pereira Vasques, Flavio Duarte Silva, Carlos Eduardo da Silveira Franciozi, Marcus Vinicius Malheiros Luzo

“…Methods: In this prospective study, patients with knee osteoarthritis were evaluated for predictive factors before the intervention, including radiographic images (Kellgren-Lawrence [KL] classification and femorotibial angle), magnetic resonance images Osteoarthritis Knee Score (MOAKS) and meniscal extrusion, joint effusion, body mass index, previous surgery, sex, and age. …”
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Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability by Jaime Govea, Rommel Gutierrez, William Villegas-Ch, Alexandra Maldonado Navarro

“…Traditional risk assessment methods, often based on static rules and signature matching, fail to provide sufficient predictive capabilities in scenarios characterized by high-volume, heterogeneous data and evolving attack patterns. …”
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Role of Pyroptosis in IVIG-Resistant Kawasaki Disease and the Establishment of a New Predictive Model by Li S, Zhou Y, Wen Y, Wu Y, Liu F, Ding Y

“…These meaningful variables were assigned values based on odds ratios and became components of the new risk assessment model. The prediction efficiency of this model was tested and evaluated based on the receiver operating characteristic (ROC) curves.Results: 1. …”
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The predictive value of TyG index for ischemic stroke in patients undergoing maintenance hemodialysis by Yaqing Wang, Xiaojie He, Yuqing Wang, Xiaodong Li

“…Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of TyG index for the occurrence of IS.ResultsTriglyceride-glucose index in the IS group was significantly higher than that in the non-IS group, with a statistically significant difference [9.32 (8.87, 9.92) vs 8.59 (8.06, 9.12), P &lt; 0.001]. …”
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Vitamin D Deficiency as a Predictive Factor of Transient Hypocalcemia after Total Thyroidectomy by A. Bove, C. Dei Rocini, R. M. Di Renzo, M. Farrukh, G. Palone, S. Chiarini, T. Staniscia

“…Methods. This is a prospective cohort study which was conducted between January 2016 and April 2019. …”
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Complete blood count parameters as potential predictive factors of brain metastases in lung cancer by Karol Marschollek, Monika Kosacka, Anna Pokryszko-Dragan, Anna Brzecka-Bonnaud

“…IntroductionBrain metastases are common and devastating complication of the lung cancer (LC) but predictive biomarkers for their risk are still lacking.ObjectivesTo analyze the relationships between complete blood count (CBC)-based and selected biochemical indices and occurrence of brain metastases in patients diagnosed with LC.Patients and methodsThe study was based on retrospective analysis of medical records of 217 patients diagnosed with LC and undergoing follow-up in one specialist center. …”
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Long-term Dysphagia following Acoustic Neuroma Surgery: Prevalence, Severity, and Predictive Factors by Raiene Telassin Abbas-Kayano, Davi Jorge Fontoura Solla, Nicollas Nunes Rabelo, Marcos de Queiroz Teles Gomes, Hector Tomas Navarro Cabrera, Manoel J. Teixeira, Eberval Gadelha Figueiredo

“…Results 101 patients were evaluated. As many as 46 (45.5%) presented dysphagia on the late postoperative period. …”
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External Validation of a Predictive Model for Thyroid Cancer Risk with Decision Curve Analysis by Juan Jesús Fernández Alba, Florentino Carral, Carmen Ayala Ortega, Jose Diego Santotoribio, María Castillo Lara, Carmen González Macías

“…<b>Methods</b>: By utilizing clinical, analytical, ultrasound, and histological data from patients treated at the Puerto Real University Hospital, this study seeks to evaluate the performance of the predictive model in a distinct dataset and perform a decision curve analysis to ascertain its clinical utility. …”
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Analysis of influencing factors and predictive model construction for platelet transfusion efficacy in hematological patients by Yu Zou, Tianhua Jiang, Yue Fan, Simin Liang, Long Lin, Mao Zheng

“…BackgroundThis study aimed to systematically analyze the independent risk factors for platelet transfusion refractoriness (PTR) in hematological patients, and to develop and validate a nomogram prediction model, thereby providing scientific evidence for personalized platelet transfusion strategies in clinical practice.MethodsA retrospective cohort study was conducted involving 363 platelet transfusion episodes in hematological patients who received platelet transfusions at Deyang People’s Hospital between January 2023 and August 2023. …”
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