Predictive value of inflammatory indices for disease severity and perinatal outcomes in intrahepatic cholestasis of pregnancy by Erkan Sağlam, Mustafa Raşit Özler, Ebu Bekir Sıddık Yılmaz, Sıddık Yılmaz, Mevlüt Bucak

“…This study aimed to investigate the relationship between systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), and neutrophil-to-monocyte ratio (NMR) levels with disease severity in ICP and to evaluate their potential in predicting adverse perinatal outcomes. …”
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Predictive value of the perivascular fat attenuation index for MACE in young people suspected of CAD by Yani Yu, Dongkai Shan, Xi Wang, Zinuan Liu, Guanhua Dou, Junjie Yang, Yuqi Liu, Yundai Chen

“…The perivascular FAI at the proximal segment of the right coronary artery (RCA) was measured and grouped into high FAI and low FAI according to the optimal cut-off value, and the association between a high FAI and major adverse cardiac events (MACE) was evaluated by Cox hazard regression. K‒M survival analysis was conducted to assess the prognostic value of the perivascular FAI and improvement over traditional risk factor prediction methods. …”
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Predictive factors of cardiovascular changes depending on the type and intensity of physical activity in professional athletes by N. P Garganeeva, I. F. Taminova, V. V. Kalyuzhin, E. V Kalyuzhina, I. N. Smirnova

“…To determine the early predictive factors of cardiovascular changes in professional athletes, depending on the type and intensity of physical activity.Material and methods. …”
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Development and validation of a LASSO-based predictive model for inadvertent hypothermia in ICU patients by Xueting Wang, Xueting Wang, Yuxuan Chen, Lan Hua, Lan Hua, Dongmei Wang, Xia Zhang, Xia Zhang, Lianhong Wang, Lianhong Wang

“…The results of the prediction model evaluation showed an AUC of 0.852 (95%CI: 0.805, 0.898) and internal validation yielded a C-statistic of 0.851. …”
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Risk factors and predictive model for mild cognitive impairment in elderly patients with rheumatoid arthritis by Jun Yan, Hua Guo, Lin-Xin Zhang, Pei Chen, Yong-Ku Du, Juan Li, Ya-Ya Gao, Nan Ye

“…Objective This study aims to identify independent risk factors for MCI in elderly patients with RA and to develop a predictive nomogram. Methods We enrolled 378 elderly RA patients, aged 60 to 80 years, from Xi’an Fifth Hospital between December 2023 and December 2024. …”
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Predictive value of patent foramen ovale diameter for cryptogenic stroke and age-related differences by Rui Wang, Miao Qiao, Guanghui Song, Wei Wang, Liuyin Yang, Zhenzhen Lin, Lingcui Meng

“…This study aims to explore risk factors for PFO-related CS and evaluate age-related differences between younger and elderly patients.MethodsThis retrospective study included 344 patients with PFO, categorized into no stroke (NS), cryptogenic stroke (CS), and non-cryptogenic stroke (NCS) groups. …”
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Analysis of the predictive value of the prostate-specific antigen-to-neutrophil ratio for the diagnosis of prostate cancer by Yuxuan Chen, Haisheng Yan, Yaoqin Xu, Kexin Chen, Runqin Yang, Jiali Yang, Ruian Zhu, Rui Lin, Jiang Wang, Jie Liu, Pingsheng Gao, Lei Pang, Lexin Wang

“…Patients within this range need to be further evaluated using additional parameters such as PSA ratio, PSA density, and other indices to determine the necessity of prostate biopsy (PBx). …”
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Predictive factors of progression to chronic glomerulonephritis in pediatric patients with post streptococcal acute glomerulonephritis by Ida Ayu Laksmi Arnita Utari, Surya Adhi, Kristia Hermawan, Eggi Arguni

“…Methods: This study was an analytical observational study with retrospective cohort design. …”
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Predictive value of three nutritional indexes for disease activity in patients with inflammatory bowel disease by Zhuoyan Chen, Liuwei Zeng, Weimin Cai, Xian Song, Qian Xu, Jun Xu, Luying Zhao, Yuan Zeng, Xiangting Zhang, Xiao Wu, Ruoru Zhou, Huiya Ying, Kanglei Ying, Yuhao Chen, Fujun Yu

“…GNRI showed the highest predictive value compared with PNI and CONUT. Additionally, combining any of the three indexes improved the ability of C-reactive protein to predict IBD activity.Conclusions All three nutritional indexes evaluated malnutrition to be an independent risk factor for IBD activity.…”
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Predictive role of serum sST2 for heart failure in children with severe pneumonia by Qingsong Wu, Xinxin Zheng, Xinfan Lin, Linfeng Xie, Liangwan Chen, Zhihuang Qiu

“…Abstract Objective To evaluate the predictive value of soluble suppression of tumorigenesis-2 (sST2) for heart failure (HF) in children hospitalized with severe pneumonia. …”
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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 aim of this study is to combine the advantages of machine learning and logistic regression to construct a risk prediction model for cognitive impairment among older adults in Northwest China to identify individuals at increased risk.MethodsA cross-sectional study was conducted. …”
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Predictive factors for postoperative recurrence in early cervical cancer patients: a meta-analysis by Weili Hou, Yaru Ma, Suli Sun, Yanlei Gao, Jia Ling, Rui Shi

“…Identifying reliable prognostic factors can help refine risk stratification, optimize follow-up strategies, and guide adjuvant therapy decisions. This meta-analysis evaluates the association between key prognostic factors—tumor diameter, HPV status, depth of invasion, LVSI status, and positive lymph nodes—and recurrence risk in early-stage cervical cancer.Materials and methodsA systematic search of PubMed, Embase, Cochrane Library, and Scopus was conducted to identify studies assessing the relationship between prognostic factors and recurrence in early-stage cervical cancer. …”
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Innovative nomogram for predictive risk stratification of aspiration pneumonia in post-stroke dysphagia patients by Junming Wang, Junming Wang, Junming Wang, Junming Wang, Pengfei Wang, Pengfei Wang, Pengfei Wang, Zhengyao Shen, Kehan Liao, Kehan Liao, Kehan Liao, Daikun He, Daikun He, Daikun He, Daikun He, Daikun He, Zhigang Pan

“…Model performance was evaluated using bootstrap resampling, calibration, and decision curve analysis. …”
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Predictive factors for therapeutic response and cluster analysis in syndrome of undifferentiated recurrent fever (SURF) by Marco Gattorno, Isabella Ceccherini, Riccardo Papa, Roberta Caorsi, Federica Penco, Stefano Volpi, Marta Ponzano, Marta Bustaffa, Ignazia Prigione, Saverio La Bella, Caterina Matucci-Cerinic, Serena Palmeri, Giada Recchi, Chiara Conti, Diana Sutera, Roberta Bertelli

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A predictive score for early in-patient tuberculosis mortality: A case-control study by Joseph Baruch Baluku, Priscilla Sheilla Apolot, Brenda Namanda, Sharon Namiiro, Shamim Katusabe, Diana Karungi, Reagan Nkonge, Mary Madalen Angut, Jasper Nidoi, Robinah Nalwanga, Charles Mondo, Emmanuel Seremba, Charles Kabugo

“…The performance of an adapted predictive score (PROS score) was evaluated, assigning scores based on the following criteria: Pulse rate >100 beats/min (1 point), Respiratory rate >20 breaths/min (2 points), Oxygen saturation <92 % (4 points), and Systolic blood pressure <90 mmHg (2 points). …”
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The predictive value of preoperative inflammatory status for anastomotic leakage after esophagectomy for esophageal cancer by Zhulin Wang, Biao Wang, Dengguo Zhang, Chunyao Huang, Shaowu Sun, Kaiyuan Li, Yu Yi, Guoqing Zhang, Xiangnan Li, Jiangtao Pu

“…The purpose of this study was to evaluate the impact of preoperative inflammatory status on anastomotic leakage after esophageal cancer surgery and to construct a model for predicting anastomotic leakage after esophageal cancer surgery.MethodsA retrospective analysis was conducted on 1106 patients with esophageal cancer who underwent surgical treatment between September 2018 and December 2022. …”
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Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia by Rayan Alsuwaigh, Christine Ang, Jessica Quah, Charlene Jin Yee Liew, Lin Zou, Xuan Han Koh, Venkataraman Narayan, Tian Yi Lu, Clarence Ngoh, Zhiyu Wang, Juan Zhen Koh, Zhiyan Fu, Han Leong Goh

“…We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its discrimination for 30-day mortality.Methods Deep-learning model using convolutional neural network (CNN) was trained with a retrospective cohort of 2235 CXRs from 1966 unique adult patients admitted for CAP from 1 January 2019 to 31 December 2019. …”
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Predictive value of ASTRAL score modified by triglyceride glucose index for prognosis in ischemic stroke by PEI Lu-lu, CHAI Yuan, YANG Jun-zhe, YANG Jun-zhe, XU Yu-ming, SONG Bo

“…Receiver operating characteristic (ROC) curve was plotted, and the area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated to evaluate the predictive value of the ASTRAL-TyG model. …”
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A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning by Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva, Raushan Bitemirova, Zhadyra Yerkin

“…Training was performed on clinical and immunological data and models were evaluated using accuracy, ROC-AUC, and F1-score metrics. …”
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Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns by Shi-Qi Wang, Shi-Qi Wang, Kan Qiu, Qi-Rui Zheng, Bing-Jie Zhou, Ming-Yu Li, Hai-Yan Zhong, Yong Chen, Si-Ming Yuan, Si-Ming Yuan

“…We applied ten machine learning algorithms, including random forest, gradient boosting tree (GBT), and logistic regression, to predict sepsis and mortality. The models were evaluated via AUC, precision, recall, accuracy, and F1 score, and were compared with the SOFA score performance. …”
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