Showing 2,681 - 2,700 results of 7,244 for search '"Risk factor"', query time: 0.11s Refine Results
  1. 2681

    The Role of Matrix Metalloproteinase-9 in Atherosclerotic Plaque Instability by Tiewei Li, Xiaojuan Li, Yichuan Feng, Geng Dong, Yuewu Wang, Junmei Yang

    Published 2020-01-01
    “…Additionally, several human studies have demonstrated that MMP-9 may be a predictor of atherosclerotic plaque instability and a risk factor for future adverse cardiovascular and cerebrovascular events. …”
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  2. 2682

    Effects of Obstructive Sleep Apnea on Cardiac Function and Clinical Outcomes in Chinese Patients with ST-Elevation Myocardial Infarction by Baoxin Liu, Rong Guo, Shunping Zhou, Shuanshuan Xie, Ke Wang, Yawei Xu

    Published 2014-01-01
    “…Multivariate Cox regression analysis revealed that OSA was an independent risk factor for MACE and cardiac mortality. Conclusion. …”
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  3. 2683

    PREDISPOSITION FACTORS ANALYSIS FOR FOURNIER'S GANGRENE DEFECTS CLOSURE COMPLICATION by Bayu Fasi Bermani, Sitti Rizaliyana, Ira Handriani

    Published 2020-06-01
    “…We analyzed the characteristics of the patients, risk factors, methods of defect closure, and case outcome. …”
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  4. 2684

    Effect of Radiation, Organic Solvents and Vibration Occupational Exposure on the Thyroid Disease: Results from Project ELEFANT by Bibo Yuan, Citlalli Osorio-Yáñez, Junkai Fang, Lei Zhao, Ander Wilson, Marco Sanchez-Guerra, Hongbin Liu, Peng-Hui Li, Liqiong Guo

    Published 2021-06-01
    “…Abstract Although occupational exposure to radiation and organic solvents has been proven to increase the chance of developing thyroid disease, one of the leading endocrine disorders, much less is known about the potential risk factor of vibration exposure. Thus, this study aimed to examine the relationships between occupational exposure to radiation, organic solvents and vibration, and thyroid disease risk and thyroid-stimulating hormone (TSH) levels by utilizing data sets from Project ELEFANT, which comprises 124,286 participants from Tianjin, China. …”
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  5. 2685

    Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach by Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, Paulo Santos, Armin Gorouhi, Luca Paolo Ardigò, Hadi Nobari

    Published 2025-01-01
    “…Finally, the decision tree algorithm with machine learning was utilised to assess the predictive power of injury occurrence based on the acute-to-chronic workload ratio.ResultsThe results showed that the variable of the number of decelerations had the highest predictive power compared to other variables [area under the curve (AUC) = 0.91, recall = 87.5%, precision = 58.3%, accuracy = 94.7%].ConclusionAlthough none of the selected external load variables in this study had high predictive power (AUC > 0.95), due to the high predictive power of injury of the number of deceleration variables compared with other variables, the necessity of attention and management of this variable as a risk factor for injury occurrence is essential for preventing future injuries.…”
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  6. 2686

    Longitudinal relationship between internet addiction and psychotic-like experiences among Chinese college students by Pu Peng, Hongyu Zou

    Published 2025-02-01
    “…Conclusion: IA may be an independent risk factor for PLEs in college students, particularly for unusual thoughts and negative PLEs, but not for perceptual abnormalities. …”
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  7. 2687

    Cells in Dengue Virus Infection In Vivo by Sansanee Noisakran, Nattawat Onlamoon, Pucharee Songprakhon, Hui-Mien Hsiao, Kulkanya Chokephaibulkit, Guey Chuen Perng

    Published 2010-01-01
    “…Studies in the endemic regions suggest that the preexisting antibodies are a risk factor for DHF/DSS. Viremia and thrombocytopenia are the key clinical features of dengue virus infection in patients. …”
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  8. 2688

    RELATIONSHIP OF ACL INJURY WITH POSTERIOR TIBIAL SLOPE, INTERCONDYLAR NOTCH WIDTH RATIO, AGE, AND SEX by Boby Harul Priono, Ghuna Arioharjo Utoyo, Yoyos Dias Ismiarto

    Published 2019-12-01
    “…Posterior tibial slope (PTS) has been proposed as a potential risk factor for ACL injury; however, studies that examined this relationship have provided inconclusive and sometimes contradictory results. …”
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  9. 2689
  10. 2690

    Risk of second primary malignancies among survivors of cutaneous melanoma: A nationwide population-based study in the Republic of Korea by Joon Min Jung, Do Hyung Kim, Ye-Jee Kim, Ik Jun Moon, Woo Jin Lee, Sung Eun Chang, Mi Woo Lee, Chong Hyun Won

    Published 2025-01-01
    “…Standardized incidence ratios (SIRs) were calculated for overall and specific SPMs. The risk factor for overall SPM development was analyzed using a multivariable Cox regression model. …”
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  11. 2691

    Clinical Predictors of Pseudomonas aeruginosa Bacteremia in Emergency Department by Yongsoon Choi, Jin Hui Paik, Ji Hye Kim, Seung Baik Han, Areum Durey

    Published 2018-01-01
    “…Multiple logistic regression showed that respiratory tract infection was an independent risk factor for Pseudomonas bacteremia (OR 6.56, 95% CI 1.78-23.06; p = 0.004), whereas underlying diabetes mellitus (OR 0.22, 95% CI 0.07-0.61; p = 0.004) and presentation as urinary tract infection (OR 0.06, 95% CI 0.02-0.18; p < 0.001) were negative clinical predictors. …”
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  12. 2692

    Evaluation of global DNA methylation, homocysteine and vitamin B12 levels among patients with celiac disease by Farah Tareq Yaseen, Rakad M.Kh. Al-Jumaily

    Published 2024-12-01
    “…The findings of this study suggest that the differences in global DNA methylation levels may be used as a risk factor for developing CD, which indicates the involvement of vitamin B12 and HCY in CD progression.…”
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  13. 2693

    Comparison of Atrial Fibrillation in the Young versus That in the Elderly: A Review by Rajiv Sankaranarayanan, Graeme Kirkwood, Katharine Dibb, Clifford J. Garratt

    Published 2013-01-01
    “…Whilst ageing is well recognised to be an independent risk factor for the development of AF, this condition also affects the young in whom the condition is frequently symptomatic and troublesome. …”
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  14. 2694

    CORRELATION BETWEEN KNEE OSTEOARTHRITIS (OA) GRADE AND BODY MASS INDEX (BMI) IN OUTPATIENTS OF ORTHOPAEDIC AND TRAUMATOLOGY DEPARTMENT RSUD DR. SOETOMO by Lukas Widhiyanto, Andre Triadi Desnantyo, Lilik Djuari, Maynura Kharismansha

    Published 2019-12-01
    “…Obesity is one of the risk factor of OA. The doubles increasing trend of obesity from 1980, might possibly causes the escalation of OA case. …”
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  15. 2695

    The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

    Published 2025-01-01
    “…The CDC&#x2019;s Behavioral Risk Factor Surveillance System (BRFSS) was used to empirically demonstrate the advantages of integrating BDA with ML for medical decision-making in Big Data environments. …”
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  16. 2696

    Elevated Transforming Growth Factor-β2 in the Aqueous Humor: A Possible Explanation for High Rate of Capsular Contraction Syndrome in High Myopia by Keke Zhang, Xiangjia Zhu, Minjie Chen, Xinghuai Sun, Jin Yang, Peng Zhou, Yi Lu

    Published 2016-01-01
    “…Conclusions. High myopia is a risk factor for capsular contraction syndrome. Elevated TGF-β2 levels in high myopic cataract patients may play an important role in the pathogenesis of capsular contraction syndrome.…”
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  17. 2697

    Arterial Stiffness in Nonhypertensive Type 2 Diabetes Patients in Ghana by Kwame Yeboah, Daniel A. Antwi, Ben Gyan

    Published 2016-01-01
    “…Increased arterial stiffness is an independent cardiovascular risk factor in diabetes patients and general population. …”
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  18. 2698
  19. 2699
  20. 2700

    Elevated Serum Total Bilirubin Level Is Associated with Poor Outcomes in Pediatric Patients with Sepsis-Associated Liver Injury by Yun Cui, Yijun Shan, Rongxin Chen, Chunxia Wang, Yucai Zhang

    Published 2018-01-01
    “…Cox regression analysis indicated that the elevated serum TBIL level within 72 hours after admission was an independent risk factor of mortality in patients with SALI. Furthermore, the area under the receiver-operating characteristic (ROC) curve (AUC) for TBIL was 0.736 (95% confidence interval (CI): 0.614–0.858, P=0.001), in which the optimal cut-off value was 64.5 μmol/L. …”
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