Multidrug-resistant Klebsiella pneumoniae coinfection with multiple microbes: a retrospective study on its risk factors and clinical outcomes by Xixi Song, Chonghe Xu, Zhongqi Zhu, Chenchen Zhang, Chao Qin, Juan Liu, Xiaoli Kong, Zhijun Zhu, Wei Xu, Mei Zhu

“…This study successfully established a predictive model based on risk factors, which has good predictive value for both patients with coinfections and those with CRKP. …”
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Triglyceride glucose waist circumference and non alcoholic fatty liver disease: a systematic review and meta analysis by Ziyi Xin, Lanlan Feng, Qingwen Yu, Yongmin Shi, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Xingwei Zhang, Mingwei Wang, Jiake Tang

“…The triglyceride glucose-waist circumference (TyG-WC) index, a novel measure for assessing IR, may hold significant predictive value for NAFLD. However, the relationship between TyG-WC and the risk of NAFLD remains elusive. …”
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Development and external validation of a nomogram prediction model based on quantitative coronary angiography for predicting ischemic lesions: a multi-centre study by Shuai Yang, Shuai Yang, Shuang Leng, Shuang Leng, Zhouchi Wang, Jiang Ming Fam, Jiang Ming Fam, Adrian Fatt Hoe Low, Adrian Fatt Hoe Low, Ru-San Tan, Ru-San Tan, Ping Chai, Ping Chai, Lynette Teo, Lynette Teo, Chee Yang Chin, Chee Yang Chin, John C. Allen, Mark Yan-Yee Chan, Mark Yan-Yee Chan, Khung Keong Yeo, Khung Keong Yeo, Aaron Sung Lung Wong, Aaron Sung Lung Wong, Soo Teik Lim, Soo Teik Lim, Qinghua Wu, Liang Zhong, Liang Zhong, Liang Zhong

“…For per-patient analysis, the corresponding values were 85.8%, 85.7%, 86.0% in the development cohort and 82.2%, 83.3%, 81.1% in the validation cohort.ConclusionThe nomogram may be useful for predicting ischemic lesions using QCA measurements and the LASSO regression algorithm, with external validation indicating potential predictive value in cardiology care settings.…”
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Elevated FDG uptake in non-tumorous lung regions does not predict immune checkpoint inhibitor–related pneumonitis in lung cancer patients by Friederike Völter, Friederike Völter, Friederike Völter, Lukas Wehlte, Blerina Resuli, Blerina Resuli, Blerina Resuli, Julia Walter, Julia Walter, Julia Walter, Lea Daisenberger, Maria Ingenerf, Maurice Heimer, Matthias Brendel, Matthias Brendel, Matthias Brendel, Gabriel T. Sheikh, Lena M. Unterrainer, Lena M. Unterrainer, Lena M. Unterrainer, Diego Kauffmann-Guerrero, Diego Kauffmann-Guerrero, Diego Kauffmann-Guerrero, Thomas Pfluger, Lucie Heinzerling, Lucie Heinzerling, Amanda Tufman, Amanda Tufman, Amanda Tufman

“…Logistic regression analyses were performed to identify the predictive value of pretreatment SUV for the development of cinrPneumonitis.ResultsA total of 239 patients were included, of whom 41 (17.2%) developed cinrPneumonitis. …”
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Associations of Blood Pressure and Heart Rate and Their Contribution to the Development of Cardiovascular Complications and All-Cause Mortality in the Russian Population of 25-64 Y... by S. A. Shalnova, V. A. Kutsenko, A. V. Kapustina, E. B. Yarovaya, Yu. A. Balanova, S. E. Evstifeeva, A. E. Imaeva, S. A. Maksimov, G. A. Muromtseva, N. V. Kulakova, O. N. Kalachikova, T. M. Chernykh, O. A. Belova, G. V. Artamonova, E. V. Indukaeva, Yu. I. Grinshtein, R. A. Libis, D. V. Duplyakov, O. P. Rotar, I. A. Trubacheva, V. N. Serebryakova, A. Yu. Efanov, A. O. Konradi, S. A. Boytsov, O. M. Drapkina

“…To study the relationship of blood pressure (BP) and heart rate (HR) in a sample of men and women 25-64 years old and their predictive value for the development of fatal and non-fatal cardiovascular diseases (CVD) and mortality from all causes.Material and methods. …”
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Development of a predictive model for metachronous liver metastasis in gastric cancer by Siyuan Wang, Siyuan Wang, Gaozan Zheng, Fengsu Wu, Ye Tian, Xinyu Qiao, Xinyu Dou, Hanjun Dan, Hanjun Dan, Guangming Ren, Liaoran Niu, Pengfei Wang, Lili Duan, Yumao Yang, Jianyong Zheng, Fan Feng

“…Besides conventional parameters, we identified and incorporated peripheral blood monocyte and lymphocyte counts as novel predictors, demonstrating their independent predictive value. Integrating these factors into nomogram could enhance predictive accuracy of MLM.…”
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Triglyceride glucose-weight-adjusted waist index as a cardiovascular mortality predictor: incremental value beyond the establishment of TyG-related indices by Jiajun Qiu, Jin’e Li, Shan Xu, Jingqi Yang, Haixia Zeng, Yuying Zhang, Shiqi Yang, Lixuan Fang, Jiadian Huang, Hongtao Zhou, Jiaying Feng, Yujie Zan, Jia Zhan, Jianping Liu

“…Conclusion The current study is the first to validate that the TyG-WWI is a reliable risk prediction tool for cardiovascular death in the general population and has greater predictive value than traditional TyG-related parameters. …”
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A retrospective analysis of 6942 amniocentesis cases by Qingsha An, Yuxiao Huang, Feifei Yu, Yilun Tao, Juan Li, Xiaoze Li

“…The analysis encompassed the detection rate of chromosomal abnormalities via amniocentesis, the proportion and positive predictive value (PPV) of each indication group, the distribution of maternal age and gestational age, and the characteristic patterns of confirmed diagnostic findings. …”
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Serum LCAT as a Gender-Neutral Biomarker for Early Osteoporosis: A Multicenter Cohort Validation Study by Wen Y, Cheng S, Gou L, Zhou W, Li Y, Wang R, Wu J, Dai X, Gao M, Wang L, Xue B, Wang Y

“…Moreover, serum LCAT levels exhibited significantly higher predictive value for osteoporosis than that of conventional serum 25-hydroxyvitamin D (25OHD) levels.Conclusion: We demonstrate for the first time that reduced serum LCAT concentrations predict osteoporosis risk independently of confounding factors, qualifying it as a promising early-stage diagnostic biomarker. …”
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Skin rash in metastatic hormone sensitive prostate cancer patients treated with apalutamide: a retrospective multicenter study in Korea by Won Tae Kim, Hyun Ho Han, Seok Joong Yun, Seong Hyeon Yu, Taek Won Kang, Yun-Sok Ha, Jun Nyung Lee, Tae Gyun Kwon, Byung Hoon Kim, Won Ik Seo, Chan Ho Lee, Jae Il Chung, Jung Ki Jo, U-Syn Ha, Ji Youl Lee, Hwang Gyun Jeon, Seong Il Seo, Kyo Chul Koo, Byung Ha Chung, Jong Wook Kim, Joongwon Choi, Jong Wook Park, Hongzoo Park, Sungchan Park, Soo Dong Kim, Hak Min Lee, Sung Kyu Hong, Jae Young Joung

“…This study aims to investigate the incidence rate of skin rash and the predictive value of inflammation markers for skin rash in real-world Korean patients. …”
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Flower lose, a cell fitness marker, predicts COVID‐19 prognosis by Michail Yekelchyk, Esha Madan, Jochen Wilhelm, Kirsty R Short, António M Palma, Linbu Liao, Denise Camacho, Everlyne Nkadori, Michael T Winters, Emily S Rice, Inês Rolim, Raquel Cruz‐Duarte, Christopher J Pelham, Masaki Nagane, Kartik Gupta, Sahil Chaudhary, Thomas Braun, Raghavendra Pillappa, Mark S Parker, Thomas Menter, Matthias Matter, Jasmin Dionne Haslbauer, Markus Tolnay, Kornelia D Galior, Kristina A Matkwoskyj, Stephanie M McGregor, Laura K Muller, Emad A Rakha, Antonio Lopez‐Beltran, Ronny Drapkin, Maximilian Ackermann, Paul B Fisher, Steven R Grossman, Andrew K Godwin, Arutha Kulasinghe, Ivan Martinez, Clay B Marsh, Benjamin Tang, Max S Wicha, Kyoung Jae Won, Alexandar Tzankov, Eduardo Moreno, Rajan Gogna

“…In patients presenting in the early phase of COVID‐19 illness, hFwe‐Lose expression accurately predicts subsequent hospitalization or death with positive predictive values of 87.8–100% and a negative predictive value of 64.1–93.2%. hFwe‐Lose outperforms conventional inflammatory biomarkers and patient age and comorbidities, with an area under the receiver operating characteristic curve (AUROC) 0.93–0.97 in predicting hospitalization/death. …”
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Projection selection and rapid atrial pacing improves early outcomes after self-expanding transcatheter aortic valves by María Tamargo, Enrique Gutiérrez, Jorge García Carreño, María Eugenia Vázquez Álvarez, Ricardo Sanz-Ruiz, Mike Huanca, Erika Ludeña, Javier Soriano, Jaime Elí, Francisco Fernández-Avilés, Javier Bermejo

“…The absence of the Wenckebach phenomenon during RAP had a negative predictive value of 97% (95%CI, 91-99) for pacemaker implantation at the follow-up, which significantly decreased the need for 24-hour temporary pacemaker monitoring in the COP + RAP group (91.8% vs 28.1%; P < .0001) and the median [IQR] length of stay (5.0 [4-8] days vs 2.0 [1-4] days; P < .0001). …”
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An Exosomal mRNA Urine Test for Detection and Risk Stratification of Human Kidney Transplant Rejection by Rania El Fekih, Kurt Franzen, James Hurley, Brian C. Haynes, Tamara Merhej, Areej Alghamdi, Elliot Hallmark, Shuran Xing, Sonia Kumar, John Choi, Zhabiz Solhjou, Christa Deban, Anis Saad, Ahmad Halawi, Nour Younis, Katherine Cashman, Maribel Dagher, Siawosh K. Eskandari, Soltan Al Chaar, Helmut Rennke, Astrid Weins, Reza Abdi, Anil Chandraker, James F. Markmann, Kassem Safa, Leonardo V. Riella, Matt McFaul, Chris Ventura, Alexandre V. Vlassov, Richard Formica, Camila Macedo, Johan Skog, Jamil R. Azzi

“…Results: Four mRNAs (IL32, B2M, CXCL11, and PGK1) performed well in distinguishing biopsies with rejection or significant inflammation from those without inflammation, achieving 94% sensitivity, 62% positive predictive value, and 52% specificity. Patients who tested positive by the signature but negative by biopsy were nearly twice as likely to experience adverse outcomes in the 5-year follow-up period, including subsequent rejection, thereby showing the limitations of kidney biopsies and the prognostic potential of molecular signatures. …”
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An App model that utilizes a logistic regression algorithm for predicting choledocholithiasis: A prospective clinical trial by F. García-Villarreal, L.M. Torres-Treviño, C. Herrera-Figueroa, J.O. Jáquez-Quintana, A.A. Garza-Galindo, C.A. Cortez-Hernández, D. García-Compeán, R.A. Jiménez-Castillo, H.J. Maldonado-Garza, J.A. González-González

“…In patients with an intermediate risk for CL, the AUC value was 0.72 and the positive predictive value (PPV) was 70%. In patients with a high risk for CL, the AUC value was 0.78 and the PPV was 89%. …”
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A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma by Yaoting Sun, He Wang, Lu Li, Jianbiao Wang, Wanyuan Chen, Li Peng, Pingping Hu, Jing Yu, Xue Cai, Nan Yao, Yan Zhou, Jiatong Wang, Yingrui Wang, Liqin Qian, Weigang Ge, Mengni Chen, Feng Yang, Zhiqiang Gui, Wei Sun, Zhihong Wang, Minghua Ge, Yi He, Guangzhi Wang, Yongfu Zhao, Huanjie Chen, Xiaohong Wu, Yuxin Du, Wenjun Wei, Fan Wu, Dingcun Luo, Xiangfeng Lin, Haitao Zheng, Xin Zhu, Bei Wei, Jiafei Shen, Jincao Yao, Zhennan Yuan, Tong Liu, Jun Pan, Yifeng Zhang, Yangfan Lv, Qiaonan Guo, Qijun Wu, Tingting Gong, Ting Chen, Shu Zheng, Jingqiang Zhu, Hanqing Liu, Chuang Chen, Hong Han, Sathiyamoorthy Selvarajan, Michael Mingzhao Xing, Kennichi Kakudo, Erik K Alexander, Yijun Wu, Yu Wang, Dong Xu, Hao Zhang, Xiu Nie, Oi Lian Kon, N Gopalakrishna Iyer, Zhiyan Liu, Yi Zhu, Haixia Guan, Tiannan Guo, We-TEC Investigators

“…It exhibited a 95.7% negative predictive value for ruling out malignancy. This study presents a promising protein-based approach for the differential diagnosis of FTA and FTC, potentially enhancing diagnostic accuracy and clinical decision-making.…”
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Predictors of uveitic macular edema and functional prognostic outcomes: real-life data from the international AIDA Network uveitis registry by Jurgen Sota, Germán Mejía-Salgado, Silvana Guerriero, Gaafar Ragab, Gaafar Ragab, Stefania Costi, Maria Pia Paroli, Andrea Hinojosa-Azaola, Giuseppe Lopalco, Luciana Breda, Henrique Ayres Mayrink Giardini, Alex Fonollosa, Maria Sole Chimenti, Antonio Vitale, Carla Gaggiano, Blanca Aguilar-Barrera, Laura Daniela Rodríguez-Camelo, Guillermo Arturo Guaracha-Basañez, Mohamed Tharwat Hegazy, Mohamed Tharwat Hegazy, Rosanna Dammacco, Valeria Albano, Eduardo Martín-Nares, Santiago Espinosa-Lugo, Mahmoud Ghanema, Maria Morrone, Saverio La Bella, Rafael Alves Cordeiro, Francesco Carubbi, Alessandro Conforti, Piero Ruscitti, Ibrahim AlMaglouth, Rosaria Talarico, Stefano Gentileschi, Petros P. Sfikakis, Valeria Caggiano, Matteo Piga, Adele Civino, Francesca Ricci, Maissa Thabet, Marcello Govoni, Abdurrahman Tufan, Francesca Crisafulli, Jessica Sbalchiero, Sulaiman M. Al-Mayouf, Angela Mauro, Angela Mauro, Soad Hashad, Soad Hashad, Francesca Minoia, Alma Nunzia Olivieri, Samar Tharwat, Samar Tharwat, Maria Cristina Maggio, Abdelhfeez Moshrif, Gian Domenico Sebastiani, Daniela Opris-Belinski, Gülen Hatemi, Gülen Hatemi, Haner Direskeneli, Fatma Alibaz-Öner, Lampros Fotis, José Hernández-Rodríguez, Giovanni Conti, Piercarlo Sarzi Puttini, Ombretta Viapiana, Annarita Giardina, Patrizia Barone, Kalpana Babu, Rana Hussein Amin, Perla Ayumi Kawakami-Campos, Vishali Gupta, Annamaria Iagnocco, Ali Şahin, Antonella Insalaco, Andrés González-García, Ezgi Deniz Batu, Ester Carreño, Emanuela Del Giudice, Cecilia Beatrice Chighizola, Cecilia Beatrice Chighizola, Fabrizio Conti, Alberto Balistreri, Bruno Frediani, Luca Cantarini, Alejandra de-la-Torre, Claudia Fabiani

“…The study also highlights the limited predictive value of demographic and HLA-related factors, helping refine clinical risk stratification and predictive modeling in NIU.…”
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Diagnostic accuracy of intraoral mobile photography for oral health screening in children: a pilot study by Lia Mania, Ketevan Nanobashvili, Tinatin Manjavidze, Mamuka Benashvili, Ia Astamadze

“…Sensitivity, specificity, and positive and negative predictive values of dental photography were evaluated, and Cohen’s kappa was calculated. …”
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Ratios of neutrophil,lymphocyte and monocyte to high-density lipoprotein cholesterol in acute pancreatitis complicated with acute kidney injury by Wei Mao-bi, Zhang Zhi-qin, Ma Zhou, Wu Xiao-yan

“…Objective To explore the clinical predictive values of admission neutrophil,lymphocyte and monocyte to high-density lipoprotein cholesterol ratio（NHR/LHR/MHR）in acute pancreatitis（AP）related with acute kidney injury（AKI）.Methods For this retrospective cohort study,a total of 302 AP patients were divided into AKI and non-AKI groups according to the KDIGO-AKI criteria.The inter-group differences of clinical profiles were compared for NHR,LHR and MHR.Results The incidence of AKI was 21.5%（65/302）.And the clinical stage was 1（n=32,10.6%）,2（n=16,5.3%）and 3（n=17,5.6%）.NHR,LHR and MHR were markedly higher in AKI group than those in NAKI group and the difference were statistically significant（Z=7.356,5.062 & 6.446,P<0.01）.After adjusting basic renal function,gender,concomitant chronic diseases,etiology of AP,basic vital signs and blood biochemical parameters on admission,multivariate logistic forward stepwise regression analysis revealed that admission NHR（OR=1.081,95%CI 1.043～1.121,P<0.01）,MHR（OR=2.445,95%CI 1.514～3.947,P<0.01）and LHR（OR=1.713,95%CI 1.306～2.246,P<0.01）were the independent risks factors for AP-AKI.ROC curve indicated that the above parameters had excellent predictive values for AP-AKI and AUC were 0.798,0.761 and 0.705 respectively（all P<0.01）.For understanding the impact of blood lipid levels on the predictive values of NHR,MHR,and LHR for AP-AKI,subgroup analysis showed that AUC of the above parameters were 0.709,0.667 and 0.615 in hyperlipidemic group and 0.830,0.790 and 0.707 in non-hyperlipidemic group respectively.No statistically significant inter-group differences existed in NHR,MHR or LHR（all P>0.05）.Furthermore,vasopressors,mechanical ventilation and renal replacement therapy during hospitalization were defined as special hospital interventions.Fulfilling one of the above required special treatments.And the values of AUC were 0.782,0.702 and 0.679 respectively（all P<0.05）.At the same time,it had an excellent correlation with APACHE II and SIRS scores for assessing the severity of AP.Conclusions Admission NHR,MHR,LHR as the comprehensive inflammatory parameters along with complete blood count and HDL-C are positively correlated with the severity of AP and serve as independent risk factors for AP-AKI.…”
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Prediction of activity of low-molecular inhibitors of the classic complement pathway using computational screening approach by D. M. Karlinsky, A. P. Kaplun, M. E. Popov

“…The theoretically predicted values of IC50 allow selecting ligands with the highest inhibitory potential for further in vitro experiments…”
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Research on Accelerated Degradation Test Design and Life Prediction for Aluminum Electrolytic Capacitor by YANG Tao, WANG Xu, XIAO Jianglin

“…By comparing the degradated capacitance predicted by BP neural network with the measured data of the degradation test and the predicted value of the least squares linear fitting of the experimental data, the results show that the prediction error of capacitance based on the BP neural network is within 3%, while the predicted value of the least squares linear fitting is around 6%, which verifies the superiority of the BP neural network life prediction algorithm, and provides strong support for development and application of the subsequent on-line monitoring technology of board level capacitors.…”
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