Showing 5,121 - 5,140 results of 5,437 for search '"logistics"', query time: 0.06s Refine Results
  1. 5121

    Determinants maintaining healthcare personnel’s motivation during COVID-19 pandemic in Uganda by Makiko Komasawa, Myo Nyein Aung, Christopher Nsereko, Kiyoko Saito, Robert Ssekitoleko, Mitsuo Isono, Motoyuki Yuasa

    Published 2025-01-01
    “…Data were collected using a structured questionnaire. Descriptive and logistic regression analyses were performed to identify motivation-related factors. …”
    Get full text
    Article
  2. 5122

    Urinary NGAL and RBP Are Biomarkers of Normoalbuminuric Renal Insufficiency in Type 2 Diabetes Mellitus by Aimei Li, Bin Yi, Yan Liu, Jianwen Wang, Qing Dai, Yuxi Huang, Yan Chun Li, Hao Zhang

    Published 2019-01-01
    “…Compared to the NO-CKD group, the NA-DKD group was older with lower hemoglobin (HB) levels and higher systolic blood pressure (SBP), plasma TNF-α, IL-6, and 8-OHdG levels. Logistic regression analysis suggested that age, TNF-α, and 8-OHdG were independent risk factors for nonalbuminuric renal insufficiency. …”
    Get full text
    Article
  3. 5123

    Risk factors for disease progression and clinical outcomes in patients with COVID-19 in Taiwan: a nationwide population-based cohort study by Raymond N. Kuo, Wanchi Chen, Wen-Yi Shau

    Published 2025-01-01
    “…Patients were observed for 30 days for disease progression. Multivariable logistic regression models were used to calculate odd ratios and 95% confidence intervals (CIs) for each outcome, adjusting for age, sex, region, risk factors, and vaccination status. …”
    Get full text
    Article
  4. 5124

    Clinical Features and Contributing Factors of Excessive Daytime Sleepiness in Chinese Obstructive Sleep Apnea Patients: The Role of Comorbid Symptoms and Polysomnographic Variables by Chuan Shao, Huan Qi, Ruyi Lang, Biyun Yu, Yaodong Tang, Lina Zhang, Xun Wang, Ling Wang

    Published 2019-01-01
    “…Body mass index (BMI) was highest in the severe EDS group (29.1 ± 3.6 kg/m2) (p<0.0001), intermediate in the mild to moderate EDS group (27.9 ± 3.3 kg/m2), and lower in the non-EDS group (26.8 ± 3.3 kg/m2). Logistic regression analysis showed waist circumference, memory loss, work/commute disturbances, and sleep efficiency were independently associated with mild to moderate EDS, and the microarousal index, apnea-hypopnea index (AHI), and saturation impair time below 90% were independent contributing factors of mild to moderate EDS. …”
    Get full text
    Article
  5. 5125

    Psychosocial determinants of adherence to public health and social measures (PHSMs) in 18 African Union Member States during the early phase of the COVID-19 pandemic: results of a... by Andrew Johnson, Amanda McClelland, Nandita Murukutla, Akhona Tshangela, Ashish K Gupta, Meena Maharjan, Cecilia Fabrizio, Emily W Myers, Virginia Nkwanzi, Colby A Wilkason, Natalie Lacey, Benjamin Djoudalbaye

    Published 2022-06-01
    “…A total of 21 600 adults (mean age=32.7 years, SD=11.4) were interviewed (1200 in each country).Outcome measures Information including sociodemographics, adherence to PHSMs and psychosocial variables was collected. Logistic regression models examined the association between PHSM adherence (eg, physical distancing, gathering restrictions) and sociodemographic and psychosocial characteristics (eg, risk perception, trust). …”
    Get full text
    Article
  6. 5126
  7. 5127

    The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis... by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

    Published 2025-01-01
    “…Each dataset will be split into 80% training and 20% test samples. Logistic regression, support vector machines, random forests, and decision trees will be used. …”
    Get full text
    Article
  8. 5128

    Comparison of photodynamic therapy and LEEP in women of reproductive age with cervical squamous intraepithelial neoplasia 2 (CIN2): A prospective observational study in China by Cheng Li, Xuanhui Wang, Qiulin Cui, Mian He, Ming Chen

    Published 2025-04-01
    “…Results: At the 3-month follow-up, the rates of disease regression to normal or CIN1 in the PDT group were 76.6% (72/94) and 13.8% (13/94), respectively, whereas in the LEEP group, they were 80.7% (109/135) and 11.1% (15/135), respectively. Logistic regression analysis revealed that the transformation zone type 3 was the only risk factor for both the PDT (OR=3.68; 95% CI, 2.43-5.26; P=0.008) and LEEP groups (OR=2.34; 95% CI, 1.84-4.53; P=0.02). …”
    Get full text
    Article
  9. 5129

    Association between various blood glucose variability-related indicators during early ICU admission and 28-day mortality in non-diabetic patients with sepsis by Jingyan Zhou, Zhiheng Chen, Hao-Neng Huang, Chun-Quan Ou, Xin Li

    Published 2025-01-01
    “…The dose-response relationship between BG variability-related indexes and mortality was explored using multivariate logistic regression with restricted cubic spline (RCS) function. …”
    Get full text
    Article
  10. 5130
  11. 5131

    Augmentation index as a predictor of right ventricular dysfunction in coronary artery disease: a cross-sectional study by Arash Rahimi, Babak Geraiely, Hamed Vahidi, Mohammadreza Eftekhari, Ramyar Rahimi Darehbagh, Somayeh Mohammadi, Golrokh Ghaffari, Meysam Khoshavi

    Published 2025-02-01
    “…Multivariable linear and logistic regression analyses were used to evaluate the relationship between AIx and RV function, adjusting for potential confounders. …”
    Get full text
    Article
  12. 5132

    <i>KRAS</i>, <i>NRAS</i>, and <i>BRAF</i> Hot-Spot Mutations in Relation to Sidedness of Primary Colorectal Cancer: A Retrospective Cohort Study by Omer Abdelgadir, Yong-Fang Kuo, Anthony O. Okorodudu, M. Firoze Khan, Yu-Wei Cheng, Jianli Dong

    Published 2025-01-01
    “…<b>Methods:</b> We performed a retrospective cohort analysis of 722 patients diagnosed with primary CRC and tested for <i>KRAS</i>, <i>NRAS</i>, and <i>BRAF</i> hot-spot mutations at the University of Texas Medical Branch (UTMB) from January 2016 through July 2023. Multivariable logistic regressions analyses were conducted. <b>Results:</b><i>KRAS</i>, <i>NRAS</i>, and <i>BRAF</i> hot-spot mutations rates were 37.8%, 4.6%, and 6.1%, respectively. …”
    Get full text
    Article
  13. 5133

    Aldehyde Dehydrogenase 2 rs671 Polymorphism is Associated with Susceptibility of Coronary Atherosclerosis in Patients with Hypertension by Hou H, Huang S, Huang W, Huang L, Zhang Z, Liang L

    Published 2025-02-01
    “…The frequency of the ALDH2 rs671 G/A genotype, and the levels of TC, LDL-C, PIV, SII, and SIRI in patients with coronary atherosclerosis were higher than those in controls. Logistic analysis showed that body mass index (BMI) ≥ 24.0 kg/m2 (odds ratio (OR): 1.670, 95% confidence interval (CI): 1.185– 2.352, p=0.003), history of smoking (OR: 2.024, 95% CI: 1.263– 3.243, p=0.003), ALDH2 rs671 G/A genotype (OR: 1.821, 95% CI: 1.280– 2.589, p=0.001), high TC (OR: 1.592, 95% CI: 1.021– 2.485, p=0.040), high SII (OR: 2.290, 95% CI: 1.386– 3.784, p=0.001), and high SIRI (OR: 1.727, 95% CI: 1.126– 2.650, p=0.012) were associated with coronary atherosclerosis in patients with hypertension.Conclusion: Overweight (BMI ≥ 24.0 kg/m2), history of smoking, ALDH2 rs671 G/A genotype, high TC, SII, and SIRI levels were associated risk factors for coronary atherosclerosis in patients with hypertension.Keywords: coronary atherosclerosis, hypertension, ALDH2, systemic immune inflammation index, system inflammation response index…”
    Get full text
    Article
  14. 5134

    Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

    Published 2025-01-01
    “…Six ML-based algorithms were implemented for predicting child mortality, such as Naïve Bayes, Classification and Regression Trees, Random Forest, C5.0 Classification, Gradient Boosting Machine, and Logistic Regression. Model evaluation metrics like accuracy, specificity, sensitivity, negative predictive value, $$F_1$$ F 1 score, positive predictive value, k-fold cross-validation, and area under the curve (AUC) techniques were used to evaluate the performance of the models. …”
    Get full text
    Article
  15. 5135

    Predictive Value of NT-proBNP for Functional Outcome of Ischemic Stroke Without Cardiac Disease: A Prospective, Observational Study by Liu R, Chen G, Zhao N, Yue W

    Published 2025-01-01
    “…Both univariate and multivariate logistic analyses indicated that higher NT-proBNP was an independent risk factor for adverse outcomes of ischemic stroke patients at 90 days. …”
    Get full text
    Article
  16. 5136

    Abnormal Expression of Peripheral Blood Leukocyte Surface Markers in Retinopathy of Prematurity Patients by Guo R, Cheng F, Meng XJ, Fan JM, Lu YL, Ma XH, Qiao X, Li JH

    Published 2025-02-01
    “…This method allowed for the quantification of specific cell subset proportions.Results: A total of 2,110 preterm infants were screened for inclusion in the study. Multivariate logistic regression analysis identified gestational age below 28 weeks, birth weight less than 1,000 g, and neonatal sepsis as independent risk factors for severe ROP. …”
    Get full text
    Article
  17. 5137

    Impact of interpregnancy weight change on the risk of gestational diabetes mellitus during a second pregnancy in Chinese population: a retrospective cohort study by Ying Wang, Juan Yang, Chang Xu, Yuzhen Liu, Ao Yang, Shilin Zhong

    Published 2025-01-01
    “…Adjusted ORs (aORs) with 95% CIs attained from multivariable logistic regression were used to assess the association between IPWC and s-GDM, in both total subjects and stratified subgroups.Results In the overall analysis, s-GDM was found to be significantly associated with IPWC value (aOR 1.111; 95% CI 1.038 to 1.190) and an IPWC category of ≥3 kg/m² (aOR 1.821; 95% CI 1.197 to 2.772). …”
    Get full text
    Article
  18. 5138

    Correlation Between the Ratio of Uric Acid to High-Density Lipoprotein Cholesterol (UHR) and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus:A Cross-Sectional Study by Wang L, Liu L, Luo H, Wu Y, Zhu L

    Published 2025-01-01
    “…The Mantel-Haenszel chi-square test for linear association validated a pronounced positive correlation between the UHR ratio and the incidence of DR (P< 0.001). Binary logistic regression analysis revealed that age, glycated hemoglobin (HbA1c), uric acid (UA), high-density lipoprotein cholesterol (HDL-C), and the UHR ratio were all independent risk factors for the development of DR in patients with type 2 diabetes. …”
    Get full text
    Article
  19. 5139

    Association of oxidative balance score with metabolic syndrome and its components in middle-aged and older individuals in the United States by Qu Zhang, Yemei Wu, Bo Luo

    Published 2025-02-01
    “…The OBS was calculated using 16 dietary and four lifestyle factors. Logistic regression was used to assess associations between OBS and MetS. …”
    Get full text
    Article
  20. 5140

    Anemia, Thrombocytopenia, and Changes in Biochemical Parameters Occurring in Patients with Uncomplicated Plasmodium falciparum Malaria: Data Analysis from Antimalarial Efficacy-Ran... by Khadime Sylla, Roger Tine, Doudou Sow, Souleye Lelo, Annie Abiola, Jean Louis NDiaye, Magatte NDiaye, Kuaku Folly, Léon Amath NDiaye, Oumar Gaye, Babacar Faye

    Published 2022-01-01
    “…Risks and trends were calculated using multivariate logistic random effect models. Results. A total of 720 patients with completed biological data were included in the analysis (320 in the AL arm, 160 in the ASMQ arm, 120 in the DHAPQ arm, and 88 in the ASAQ arm). …”
    Get full text
    Article