Showing 9,661 - 9,680 results of 9,798 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))\""', query time: 0.19s Refine Results
  1. 9661

    The effects of Tripterygium wilfordii Hook F on renal outcomes in type 2 diabetic kidney disease patients with severe proteinuria: a single-center cohort study by Yaqi Cheng, Yuhao Liu, Liling Lin, Danni Li, Liying Peng, Ke Zheng, Jianling Tao, Mingxi Li

    Published 2024-12-01
    “…Kaplan-Meier curves and Cox regression analyses were performed to analyze prognostic factors for renal outcomes.Results By the end of the follow-up, renal outcomes were observed in 23 and 11 patients in the non-TwHF and TwHF groups, respectively (p = 0.006). …”
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  2. 9662

    Prevalence and determinants of HIV testing-seeking behaviors among women of reproductive age in Tanzania: analysis of the 2022 Demographic and health survey by Jackson Micheal Asingwire, Isaac isiko, Kuli Faith Rombe, Aaron Mwesigwa, Emmanuel Asher Ikwara, Haron Olot, Lenz Nwachinemere Okoro, Manankong Jane Precious Izunwanne, Blessing Onyinyechi Agunwa, Abdul Aziiz Bwana, William Yiga Kalemba, Ebuka Louis Anyamene

    Published 2025-02-01
    “…The study utilized individual recodes (IR) files where data was collected using the Women’s Questionnaire to analyze factors influencing HIV testing behavior among women, Descriptive analysis, and bivariate and multivariate logistic regressions were performed and all the data were processed and analyzed using STATA version 17 at 95% CI and significance level P < 0.05. …”
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  3. 9663

    Analysis of the inflammatory storm response and heparin binding protein levels for the diagnosis and prognosis of sepsis-associated encephalopathy by Dian Yu, Jun Liu, Xiaoyun Song, Yongfeng Ao, Xiaomin Li, Yi Han

    Published 2025-02-01
    “…In addition, the GCS score and serum cholinesterase levels in the SAE group were lower than in the non-SAE group (P < 0.05). Subsequently, Multi-factor logistic regression analysis revealed that ultra-high IL-6 (> 5000 pg/ml), IL-10 (> 1000 pg/ml), and HBP (> 300 ng/ml) levels and elevated SOFA and APACHE-II scores were risk cytokines for the development of SAE (P < 0.05). 28-day mortality was significantly higher in patients in the SAE group and in the IL-6 > 5000 pg/ml group compared to patients in the USAE and IL-6 < 5000 pg/ml groups(P < 0.001).The four screened predictors of HBP > 300 ng/ml, IL-6 > 5000 pg/ml, decreased GCS score, and decreased APACHEII score were combined into a new predictive data model (risk score).In the SAE group, patients with high risk scores had a higher 28-day mortality rate compared with the low risk score group (P < 0.001). …”
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  4. 9664

    Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study by Guangyu Lu, Zhixia Su, Xiaoping Yu, Yuhang He, Taining Sha, Kai Yan, Hong Guo, Yujian Tao, Liting Liao, Yanyan Zhang, Guotao Lu, Weijuan Gong

    Published 2025-01-01
    “…Univariate analysis identified 11 exhaled VOCs associated with nodule malignancy, alongside two lifestyle factors (smoke index and sites of tobacco smoke inhalation) and one clinical metric (nodule diameter) as independent predictors for moderate‐risk nodules. …”
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  5. 9665
  6. 9666
  7. 9667
  8. 9668

    Long-term air pollution exposure and cardiovascular disease progression in rheumatoid arthritis: A prospective cohort study using multi-state model analysis by Yu-Xuan Zhang, Bin-Bin Feng, Ma Ruo-Wei, Lin Zhu, Yong-Yong Liu, Yu-Ye Zuo, Hai-Feng Pan, Guo-Cui Wu

    Published 2025-05-01
    “…However, the impact of environmental factors on RA progression remains unclear. This study aimed to explore the link between long-term air pollution exposure and the multi-stage progression from a healthy status to RA onset, then CVD development, and finally death. …”
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  9. 9669

    Geographic disparities in hospital readmissions: a retrospective cohort study among patients with chronic disease in rural China by Mingyue Li, Haoqing Tang, Huixian Zheng, Baisong Zhang, Haozhe Cheng, Yanshang Wang, Yuxun Zhou, Xiaotian Zhang, Pascal Geldsetzer, Xiaoyun Liu

    Published 2025-03-01
    “…Covariates included patient demographics (gender, age, marital status, and ethnicity); health status (Charlson comorbidity score, types of chronic diseases, surgery, and length of stay); and other factors (health insurance and admitted departments). …”
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  10. 9670

    Association Between Systemic Immune-Inflammation Index in Early Pregnancy and Preeclampsia: A Multicenter Cohort Study by Li Q, Li M, Zhao C, Chen X, Zhang C, Li Y, Chen Y, Yue C

    Published 2025-06-01
    “…Multivariable logistic regression and smooth fitting curves were used to analyze the relationship between SII and PE. …”
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  11. 9671

    Prognostic value of a lncRNA signature in early-stage invasive breast cancer patients by Rong Guo, Xiting Wang, Yinju Yang, Jiaying Zou, Ming Li, Zeying Li, Yuan Yan, Nan Lan, JianYun Nie, Yiyin Tang, Guojun Zhang

    Published 2025-06-01
    “…Subsequently, employing the LASSO Cox regression model with five lncRNA features as covariates, we constructed a five-lncRNA signature. …”
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  12. 9672

    International diet quality index and revised diet quality index relationship with type 2 diabetes disease: a case-control study by Amr Ali Mohamed Abdelgawwad El-Sehrawy, Bilal AbdulMajeed Mukhlif, Enwa Felix Oghenemaro, M. M. Rekha, Rohit Kumawat, Shilpa Sharma, M. Ravi Kumar, Nagat Salah Shalaby, Munthar Kadhim Abosaoda, Abed J. Kadhim

    Published 2025-01-01
    “…This study examines the relationship between T2DM and dietary quality indices (DQI-I and DQI-R) to determine if adherence can lower diabetes risk. By analyzing dietary patterns in individuals with and without diabetes, the research aims to identify key nutritional factors influencing disease risk and provide evidence-based dietary recommendations for prevention and management.MethodsThis case-control study involved 128 T2DM patients and 256 controls, assessing dietary intake with a validated 168-item food frequency questionnaire to calculate the Dietary Quality Index-I (DQI-I) and Dietary Quality Index-R (DQI-R). …”
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  13. 9673

    The Serum Level of IL-1B Correlates with the Activity of Chronic Pulmonary Aspergillosis by Mengling Zhan, Benyong Xu, Lan Zhao, Bing Li, Liyun Xu, Qiuhong Sun, Jun Zhang, Zhemin Zhang, Haiqing Chu

    Published 2018-01-01
    “…Then, 381 cases with factors significantly affecting IL-1B expression was excluded through multiple linear regression; the remaining 88 patients were divided into high IL-1B group and low IL-1B group, according to the median value of serum IL-1B, for subgroup analysis. …”
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  14. 9674

    Steroids combined with anticoagulant in acute/subacute severe cerebral venous thrombosis by Shimin Hu, Yaqin Gu, Tingyu Zhao, Kaiyuan Zhang, Jingkai Li, Chen Zhou, Haiqing Song, Zhi Liu, Xunming Ji, Jiangang Duan, Ting Gao

    Published 2025-08-01
    “…After adjusting for confounding factors, the result remained consistent. Pulsed steroid therapy did not increase mortality during hospitalization or follow-up, nor did it lead to severe steroid-related complications (all P >0.05). …”
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  15. 9675

    Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment by Weidong Zhang, Chenxi Wu, Peifeng Ni, Sheng Zhang, Hongwei Zhang, Ying Zhu, Wei Hu, Mengyuan Diao

    Published 2025-01-01
    “…After an extensive literature review and expert consultations, key factors such as temperature (T), sodium (Na), creatinine (CR), glucose (GLU), heart rate (HR), PaO2/FiO2 ratio (P/F), hemoglobin (HB), mean arterial pressure (MAP), platelets (PLT), and white blood cell count (WBC) were identified as the most significant for cluster analysis. …”
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  16. 9676

    The joint effects of inflammation and renal function status on in-hospital outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis by Zhichao Huang, Xiaoyue Zhu, Xiuman Xu, Yi Wang, Yafang Zhu, Dongqin Chen, Yongjun Cao, Xia Zhang

    Published 2024-12-01
    “…Similarly, when we added CRP and eGFR to the basic model with conventional risk factors, the risk discrimination and prediction for post-stroke pneumonia and functional outcome was also significantly improved. …”
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  17. 9677

    The global impact of non-alcoholic fatty liver disease (including cirrhosis) in the elderly from 1990 to 2021 and future projections of disease burden. by Siying Huang, Weitao Hu, Taiyong Fang

    Published 2025-01-01
    “…This dataset includes incidence rates of NAFLD. The Joinpoint regression model was utilized to detect turning points in the epidemiological trends of NAFLD, and decomposition analysis was performed to analyze the factors influencing these trends. …”
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  18. 9678

    Global burden of subarachnoid hemorrhage among adolescents and young adults aged 15-39 years: A trend analysis study from 1990 to 2021. by Xuanchen Liu, Rui Cheng, Yingda Song, Xiaoxiong Yang, Xiaochen Niu, Chunhong Wang, Guijun Jia, Hongming Ji

    Published 2024-01-01
    “…<h4>Methods</h4>Data were collected from the Global Burden of Disease Study 2021 (GBD 2021), which includes comprehensive evaluations of health conditions and associated risk factors across 204 countries and territories. The focus was on SAH incidence, prevalence, mortality, and disability-adjusted life years (DALYs) among AYAs. …”
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  19. 9679

    Endoscopic management of large laterally spreading colorectal tumors (LSTs): a comparative study of techniques and outcomes by V. S. Tkachov, O. M. Kiosov, A. V. Klymenko

    Published 2025-06-01
    “…To compare EMR, pEMR, ESD, and hybrid ESD with respect to complication rates (bleeding, perforation), recurrence, and influencing factors. Materials and methods. In this single-center, retrospective-prospective study, 100 adult patients with non-invasive LSTs larger than 20 mm were enrolled. …”
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  20. 9680

    Assessing Health Technology Literacy and Attitudes of Patients in an Urban Outpatient Psychiatry Clinic: Cross-Sectional Survey Study by Julia Tartaglia, Brendan Jaghab, Mohamed Ismail, Katrin Hänsel, Anna Van Meter, Michael Kirschenbaum, Michael Sobolev, John M Kane, Sunny X Tang

    Published 2024-12-01
    “…However, the adoption of these technologies can be influenced by patients’ digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities. …”
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