Showing 221 - 240 results of 2,966 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factors AND regression analyzed\\"))\""', query time: 0.13s Refine Results
  1. 221

    Predicting relapse after achieving a functional cure for chronic hepatitis B (CHB) using baseline HBsAg and end-of-treatment HBsAb levels by Lianxiu Han, Zilong Wang, Luyang Kang, Xiaoling Cui, Yi Li, Huafa Yin, Yufeng Gao, Jiabin Li

    Published 2025-04-01
    “…Multivariate logistic regression analysis revealed that a baseline serum HBsAg concentration ≥ 100 IU/mL was a risk factor for recurrence, and an EOT serum HBsAb concentration ≥ 500 mIU/mL was a protective factor for recurrence. …”
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  2. 222

    Risk factor analysis of baby blues symptomsin postpartum women with a history of complications during childbirth by Roslin EM Sormin, Yosefa Sarlince Atok, Brigita Dina Manek, Damita Palalangan, Isna Yuswella Babis

    Published 2025-03-01
    “…</em></p><p><strong><em>Results</em></strong><strong><em>: </em></strong><em>Data analysis used was univariate analysis with frequency distribution table, bivariate analysis with simplelogistic regression, multivariate analysis with multiple logistic regression. …”
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  3. 223

    Analysis of risk factors related to thyroid function abnormality caused by programmed death-1 inhibitors by Lihong WANG, Huiyang SONG, Shufei ZANG, ling YE, Xuefei DANG

    Published 2025-08-01
    “…Univariate and multivariate logistic regression analyses were performed to identify related factors for TFA development. …”
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  4. 224

    Comparison of calcium-phosphorus metabolism between peritoneal dialysis and hemodialysis patients and analysis of influencing factors by CHENG Li, MIN Yong-long, WAN Sheng, HE Da, CHEN Fang, ZHANG Yan-min, XIONG Fei

    Published 2020-01-01
    “…Objective To compare the effects of peritoneal dialysis(PD)and hemodialysis(HD)on calcium-phosphorous metabolism in uremic patients,and to analyze the related influencing factors so as to provide basis and improvement measures for the clinical treatment.Methods The clinical data of PD and HD patients undergoing maintenance PD and HD in our hospital from October 1<sup>st</sup>,2018 to October 1<sup>st</sup>,2019 were collected and analyzed retrospectively.The serum calcium,phosphorus and intact parathyroid hormone were collected and compared between the patients with PD and HD at 0,3,6 and 12 months of dialysis.Multivariate linear regression was used to analyze the related influencing factors of calcium-phosphorus metabolism abnormality.Results(1)The levels of serum phosphorus at 3(t=-4.044,P<0.001),6(t=-5.886,P<0.001)and 12(t=-7.808,P<0.001)months of dialysis in the HD group were all higher than those in the PD group.The levels of serum calcium at 6(t=6.521,P<0.001)and 12(t=6.841,P<0.001)moths of dialysis were lower than those in the PD group,and the level of calcium-phosphorus product at 12 months(t=-2.080,P=0.038)was higher than that in the PD group.(2).After 12 months of dialysis,the compliance rates of serum phosphorus(χ<sup>2 </sup>=4.329,P=0.037),serum calcium(χ<sup>2 </sup>=5.587,P=0.018)and calcium-phosphorus product(χ<sup>2 </sup>=5.750,P=0.016)in the PD group were significantly higher than those in the HD group.(3)The multivariate linear regression analysis of the factors that may influence the calcium-phosphorous metabolism in dialysis patients showed that the dialysis modality(B=-0.287,P=0.005),age(B=-0.010,P=0.005),dialysis duration(B=-0.010,P=0.027),and sodium(Na)(B=-0.026,P=0.033)were the independent influencing factors of the level of serum phosphorus,with negative correlation.Conclusions Compared with HD,the levels of serum phosphorus and calcium can be controlled better by PD.Low age,low dialysis age and low sodium were independent influencing factors of increase blood phosphorus level.…”
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  5. 225

    Study on the Influence of Inertial Force on the Performance of Aerostatic Thrust Bearings by Shuo Jia, Chenhui Jia, Yanhui Lu

    Published 2025-04-01
    “…Finally, in the multi-factor analysis, the sample regression equation of relative error of bearing capacity and relative error of restoring torque is established by using the multiple regression analysis method. …”
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  6. 226

    Analysis of influencing factors and construct a prediction model for postoperative intestinal obstruction of colorectal cancer by Wang Zhen, Chen Linyun, Wang Lin, He Hongqin, Mou Kaidong, Liu Feng

    Published 2024-02-01
    “…General information, perioperative related indicators, and levels of C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL6) before surgery, on the day of surgery, the 3rd day and the 5th day after surgery were compared between the two groups. LASSO regression analysis was used to screen variables for intestinal obstruction after colorectal cancer surgery, and multivariate Logistic regression analysis was used to investigate the independent risk factors for intestinal obstruction after colorectal cancer surgery. …”
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  7. 227
  8. 228

    An analysis of risk factors for mortality in patients with bloodstream infections caused by carbapenem-resistant Klebsiella pneumoniae by ZHU Qiuli, GENG Miaomiao, WEI Ju, SHEN Yun, HU Dan, CHEN Chunxia, CHEN Haiwei, SUN Zhe

    Published 2025-04-01
    “…Patients who survived within 30 days after CRKP-BSI were classified into the survival group, while those who died within 30 days were classified into the death group. Independent risk factors for 30-day mortality in patients with CRKP-BSI were analyzed using univariate and multivariate Cox regression analysis.ResultsA total of 71 hospitalized patients with CRKP-BSI, comprising 51 males and 20 females, with an average age of (65.12±18.25) years, were included during the study period. …”
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  9. 229

    Changes of serum tumor marker levels and analysis of risk factors in patients with chronic kidney disease by YU Jun-nan, LIU Cai-xia, ZHAO Nan, SUN Dong

    Published 2020-01-01
    “…Objective To investigate whether the expression of serum tumor markers in patients with chronic kidney disease(CKD)has changed,and to analyze the risk factors influencing the changes.Methods The serum tumor markers[including α-fetoprotein(AFP),carcinoembryonic antigen(CEA),CA125,CA199,CA153,TPSA],albumin(Alb),serum creatinine,hemoglobin levels,age and glomerular filtration rate(GFR)of 427 CKD patients and 420 healthy medical examiners from the Affiliated Hospital of Xuzhou Medical University were collected and compared for differences between the two groups.The relevant factors that lead to changes in tumor markers in patients with CKD were screened out by univariate analysis,and multi-factor logistic regression analysis were used to identify risk factors for elevated tumor indicators.Results There was no significant difference in serum TPSA between the CKD group and the healthy control group(P<0.05).The AFP level was lower than that of the healthy control group,and the difference was statistically significant(P<0.01).The levels of CEA,CA125,CA199,and CA153 were higher than those in the healthy control group,with statistically significantdifferences(P<0.01).Logistic regression analysis showed that decreased glomerular filtration rate was a risk factor for CEA elevation,serum albumin and hemoglobin decline were risk factors for CA125 elevation,serum albumin decrease was a risk factor for CA199 and CA153 elevation,and age was a risk factor for elevated TPSA.Conclusions The application value of TPSA in CKD patients is the same as that in the normal population.In the diagnosis of related tumors based on serum tumor indicators,a comprehensive analysis must be done in conjunction with factors such as patients’ age,renal function,serum albumin,and hemoglobin levels.…”
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  10. 230

    Analysis of the long-term prognosis and the influencing factors of the patients with renal damage in Sjgren syndrome by BAI Li-jie, LI Hong-bin

    Published 2017-01-01
    “…Objective To analyze the long-term prognosis and influencing factors of renal involvement in Sjgren syndrome(RISS).Methods A total of 104 patients with RISS in Department of Nephrology in our hospital from January 2005 to January 2010 were selected as the research objects,and all wer given immunosuppressive agents.To assess whether doubled blood creatinine as standard can accurately evaluate the long-term prognosis of the patients,good prognosis group and poor prognosis group were set up,and the influencing factors were analyzed.Results During the follow-up period of 2-10 years,the incidence of poor prognosis was 18.27%.Univariate analysis showed that the poor prognosis of RISS was associated with female,serum creatinine,globulin,albumin,serum IgG,chronic renal tubulointerstitial lesions.Multiple Logistic regression revealed that globulin,albumin and serum IgG were the independent risk factors for poor prognosis of RISS.Pearson correlation analysis indicated that globulin,albumin and serum IgG levels were positively correlated with serum creatinine level(P<0.05).ROC curve analysis demonstrated that the optimal cutoff of globulin to predict renal damage was 0.66g/24h(AUC=0.825,sensitivity 0.826,specificity 0.764),that of albumin was54.36g/24h(AUC=0.845,sensitivity 0.816,specificity 0.762),and that of IgG was 34.72g/L(AUC=0.812,sensitivity 0.806,specificity 0.752).Conclusions The globulin,albumin and serum IgG are positively correlated with the incidence of poor prognosis,suggesting that globulin,albumin and serum IgG are of early assessment value for poor prognosis in RISS.…”
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  11. 231
  12. 232

    Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis by Shengjie Guo, Yurou Wang, Chao Zou, Liping Liu, Tingting He, Chengcheng Sun, Xiaosu Gan, Xiaofang Tian, Liying Yuan

    Published 2025-12-01
    “…Lasso regression analysis was employed to identify independent risk factors, and a nomogram model was developed to predict the risk of AVF failure in MHD patients. …”
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  13. 233

    Socio-demographic characteristics associated with SF-6D v2 utility scores in patients undergoing dialysis in China: contributions of the quantile regression by Ye Zhang, Li Yang, Zeyuan Chen

    Published 2025-07-01
    “…Conclusion Quantile regression offers a valuable complement in analyzing factors associated with utility scores among Chinese dialysis patients. …”
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  14. 234

    Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

    Published 2024-10-01
    “…Based on the construction of a binary logistic regression, it was found that the factors increasing hospital mortality were cardiogenic shock (CS): odds ratio (OR) 47.55; 4.00-589.16; p=0.002; new-onset atrial fibrillation: OR 6.45; 1.39-30.42; p=0.018; and the number of points on the GRACE scale: for each increase by 1 point: OR 1.03; 1,00-1,05; p=0.046. …”
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  15. 235

    Bayesian network analysis of individual-level factors associated with bullying among high school students by Yanmei Feng, Xinyu Luo, Xinrui Li, Yilin Liu, Yong Zeng

    Published 2025-07-01
    “…Methods A cross-sectional survey with a structured questionnaire was administered to 1,401 high school students in Yunnan Province to assess their levels of stress, core self-evaluations, dual mode of self-control, depressive symptoms, and bullying experiences. The data were analyzed using chi-square tests, multifactor logistic regression, and Bayesian network models. …”
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  16. 236

    Latent profile analysis of nutrition knowledge, attitudes, and practices and their influencing factors in maintenance hemodialysis patients by Yuan Xu, Zihan Chen, Xinlong Tang, Xiaojie Xia, Nina Zhao, Sen Zou

    Published 2025-05-01
    “…Chi-square tests and multivariate logistic regression were used to analyze the distribution differences and influencing factors among different KAP categories. …”
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  17. 237

    Analysis of latent class and influencing factors of medication adherence in elderly patients with multiple chronic conditions by Zhang Meiru, Ma Lina, Yang Shenshen, Wang Ning, Wang Weihua

    Published 2025-05-01
    “…Multiple logistic regression model was used to analyze the influencing factors of the potential category. …”
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  18. 238

    Analysis of Sirolimus Blood Concentration and Influencing Factors in Pediatric Patients: Implications for Individualized Drug Therapy by Xiaolin Xu, Xueting Mao, Bo Liu, Yixin Sun, Xiaoling Cheng, Xiaoling Wang, Huawei Mao

    Published 2025-04-01
    “…The multiple linear regression model was used to examine the impact of factors influencing pharmacokinetics and pharmacodynamics on the C/D. …”
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  19. 239

    Chinese nurses’ ability to communicate bad news: a latent profile analysis and influencing factors by Yao Li, Xue Dong, Zezhou Wang, Zhen Yang, Xutong Zheng, Xiujie Jiang, Yan Liu, Aiping Wang

    Published 2025-07-01
    “…Abstract Aim To investigate the current status of the ability to communicate bad news through latent profile analysis (LPA), identify potential subgroups and their population characteristics, and analyze the influencing factors of different categories. …”
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  20. 240