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Showing 401 - 420 results of 1,998 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))~\""', query time: 0.16s Refine Results
  1. 401
  2. 402

    Establishment of an evaluation system for conversion to laparotomy in laparoscopic cholecystectomy and exploration of surgical grading management by ZHANG Nannan, GUO Jinxing, WU Gang, YI Hui, ZHOU Yuanhang, LIAO Zhiwei, HUANG Qi, DONG Jian

    Published 2025-01-01
    “…Then, the risk factors were analyzed by multiple Logistic regression, and the pre-coefficient of each variable of the risk factors was assigned according to the established conversion to laparotomy possibility function. …”
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  3. 403

    Risk factors and prognosis of silent cerebral infarction after transcatheter aortic valve replacement by Shuguang Wu, Yi Liu, Tingting Ni, Tao Lv, Yuanyuan Yao, Min Yan

    Published 2025-04-01
    “…Additionally, multivariate Cox regression analysis indicated that elevated preoperative creatinine levels (hazard ratio [HR]: 1.01; 95% CI: 1.01–1.02; P = 0.011), presence of SCI (HR: 10.81; 95% CI: 1.31–89.18; P = 0.027), Society of Thoracic Surgeons (STS) score greater than 7% (HR: 3.32; 95% CI: 1.07–10.33; P < 0.038), age 75 years or older (HR: 7.86; 95% CI: 1.01–14.47; P = 0.049), and a history of stroke (HR: 7.20; 95% CI: 2.32–22.35; P < 0.001) were independent risk factors for one-year mortality post-TAVR. …”
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  4. 404

    Risk factors of left ventricular hypertrophy in patients with non-dialysis chronic kidney disease by ZHANG Zhe, XIA Tian-yu, ZHANG Xiao-lin, LI Di, TAN Zhi-cheng

    Published 2019-01-01
    “…The clinical data of the two groups were compared. Logistic regression analysis was used to study the risk factors of LVH in ND-CKD patients. …”
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  5. 405

    A Study on Faculty Satisfaction with the Internal Governance of Chinese Universities and Its Influencing Factors by Mingfei Jin, Fenna Sun, Lianyu Cai, Alemi Sayed Hussain Agha, Jiali Ying

    Published 2025-06-01
    “…The collected data were analyzed using mean comparison, analysis of variance, correlation analysis, and regression analysis. …”
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  6. 406
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  8. 408

    The risk factors of acute kidney injury and perioperative management after esophagus cancer surgery by MA Hu-sai, CAI Yi-xin, ZHANG Ni, FU Xiang-ning

    Published 2015-01-01
    “…Objective To explore the risk factors and clinical significance of acute kidney injury(AKI),and perioperative management after resection of esophageal carcinoma.Methods A retrospective analysis was performed on 397 cases of AKI after esophageal cancer operation,and AKI-related factors were analyzed.Results In 397 cases undergoing esophageal cancer surgery,AKI occurred 25 cases,including 15 cases of stage I,4 cases of stage Ⅱ,and 6 cases of stage Ⅲ,with the total prevalence rate being 6.3%.Twenty-one cases were discharged from the hospital(84%),and there were 4deaths(16%).Comparison of related factors of AKI and non-AKI:There was no significant difference in age,coronary heart disease,chronic obstructive pulmonary disease,preoperative SCr,preoperative chemotherapy,number of removed lymph nodes,intraoperative blood loss,operation time and.postoperative ventilator time between AKI and non-AKI(P>0.05).There were significant differences in hypertension,diabetes mellitus,postoperative lung infection and non-kidney organ failure between AKI and non-AKI(P<0.05).Logistic multivariate regression analysis showed hypertension,diabetes mellitus,postoperative lung infection and non-kidney organ failure were independent risk factors associated with AKI after resection of esophageal carcinoma.Conclusions AKI is common complications and easy to be ignored after resection of esophageal carcinoma.Attention should be paid to the common causes of AKI,and the perioperative management should be strengthened for the presence of AKI risk factors.…”
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  9. 409
  10. 410

    Understanding What Drives Youth Interest in Agribusiness Jobs: A Study from Dukuh Dempok Village by Muhammad Noval Rojabi, Muksin

    Published 2024-12-01
    “…The data was converted into interval data using the Mean Score Index (MSI) and was then tested for validity, reliability, and classical assumptions with the assistance of SPSS 25 software. The data analysis employed a quantitative descriptive method, specifically multiple linear regression tests using SPSS. …”
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  11. 411

    Crisis Management Skills of Management Nurses and Related Factors During the COVID-19 Pandemic by Selin Songül Bıyıkoğlu, Nükhet Ballıel

    Published 2024-04-01
    “…Research data were collected using the Socio-Demographic Information Form and the Crisis Management Scale (CMS) developed by Sayın (2006). The data were analyzed in the computer environment in the SPSS 22.0 program, and number, percentage, Anova, Tukey and linear regression analysis were used in the analysis of the data. …”
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  12. 412

    Clinical Profile and Factors Determining the Final Visual Outcome of Patients Presenting with Ocular Trauma by Poonam Lavaju, Badri Prasad Badhu, Sangeeta Shah

    Published 2018-07-01
    “…Contusion was the most common CGI (55.26%). On multivariate analysis using binary logistic regression, the factors affecting the final outcome were initial VA (p=0.004, OR 0.063, CI: 0.010-0.380), lens status (p=0.037, OR: 2.54, CI 1.05-6.148) secondary glaucoma (p=0.035, OR 6.44, CI: 1.13-36.44), group (OGI vs CGI, p=0.001) and hyphaema (p=0.020). …”
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  13. 413

    Predictive factors and pharmacological preventive interventions for atrial fibrillation after aortic valve replacement by Lu Chen, Yu Liu, Junmei Ge

    Published 2025-08-01
    “…The 168 patients from January 1, 2022, to May 31, 2023, were analyzed for POAF predictive factors, while 100 patients from June 1, 2023, were included in the prospective trial. …”
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  14. 414
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    Influencing factors of early neurological deterioration in COVID-19 -associated acute ischemic stroke by Jian Wang, Lin Tao

    Published 2025-07-01
    “…Furthermore, multivariate Logistic regression analysis identified preexisting diabetes, stroke, high baseline NIHSS score, abnormal electrocardiogram, prolonged PT value, increased hs-CRP and elevated DD as independent risk factors for ENG in COVID-19-associated AIS. …”
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  16. 416

    Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

    Published 2025-05-01
    “…It often results in delayed recovery, prolonged hospital stays, and increased perioperative mortality rates.Objective: To analyze the risk factors for postoperative pneumonia in older adults undergoing hip arthroplasty and develop a nomogram-based prediction model using perioperative variables.Methods: A retrospective analysis was performed on 308 older adults who underwent hip arthroplasty. …”
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  17. 417

    Identification of RNA Modification-Associated Alternative Splicing Signature as an Independent Factor in Head and Neck Squamous Cell Carcinoma by Jie Liu, Wenmin Deng, Zhiwen Xiao, Xiaofeng Huang, Minmin Lin, Zhen Long

    Published 2022-01-01
    “…AS events and RNA-modified gene expression information were downloaded from TCGA-HNSCC database. Univariate Cox regression analysis was employed for analyzing prognosis-related AS events. …”
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  18. 418

    Risk factors for poor outcome of patients with Coronavirus disease 2019 (COVID-19) in Albania by Ergys Ramosaço, Entela Kolovani, Najada Çomo, Nevila Gjermeni, Vjollca Shpata, Dhimiter Kraja

    Published 2021-09-01
    “…Methodology: A retrospective observational study on 133 consecutive hospitalized patients at “COVID 1” Hospital, University Hospital Center of Tirana. The study analyzed the correlation between potential risk factors and in-hospital mortality. …”
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  19. 419

    The Doctor-Patient Relationship Status and the Associated Factors in Older Adults from Tehran, Iran by Hamideh Esmaeili, Yadollah Abolfathi Momtaz, Marjan Haghi, Mahshid Foroughan

    Published 2025-06-01
    “…The results of multiple linear regression analysis showed that the doctor-patient relationship variable was significantly predicted by the patients’ educational level, recommendation of another doctor for choosing a doctor, and duration of visit. …”
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  20. 420

    Primary care quality of primary healthcare institutions in china: current status and influencing factors by Kexin Zhan, Chuchuan Wan, Ennan Wang, Yuankai Huang

    Published 2025-06-01
    “…Abstract Objective This study aims to assess the current state of primary care quality within Primary Healthcare Institutions (PHIs) in China and analyze potential factors that may influence the quality of primary care provided. …”
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