Showing 601 - 620 results of 4,656 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))*\""', query time: 0.38s Refine Results
  1. 601
  2. 602

    Tenosynovial Giant Cell Tumors of the Hand: Analysis of Risk Factors for Surgical Margin and Recurrence by Tolgahan Cengiz, Şafak Aydın Şimşek, Ercan Bayar, Furkan Erdoğan, Alparslan Yurtbay, Hüseyin Sina Coşkun, Ahmet Pişkin, Nevzat Dabak

    Published 2025-05-01
    “…This study analyzed the risk factors associated with surgical margin positivity and local recurrence in patients treated for localized hand TGCTs, contributing to more accurate preoperative risk stratification. …”
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    Article
  3. 603

    Aging and liver health: liver chemistries and associated factors in community-dwelling older adults by Farah Safdar Husain, Siew Ling Tey, Dieu Thi Thu Huynh, Jeffery Oliver, Geraldine Baggs, Choon How How, Wai Leng Chow, Magdalin Cheong, Tar Choon Aw, Samuel Teong Huang Chew, Ngiap Chuan Tan

    Published 2025-08-01
    “…The literature has also reported a decline in serum alanine transaminase (ALT) in older age independent of other factors. In this study, we seek to (1) evaluate liver chemistries in healthy community-dwelling older adults, and (2) investigate the associations with age, sex, use of statins, and other factors. …”
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  4. 604

    Factors for Rituximab Refractoriness in AQP4‐IgG+ NMOSD: A Cohort Study by Mariano Marrodan, María A. Piedrabuena, María A. Zarate, Sofía Rodríguez Murúa, Ezequiel I. Surace, Mauricio F. Farez, Marcela P. Fiol, María C. Ysrraelit, Jorge Correale

    Published 2025-08-01
    “…Our objective is to investigate factors associated with treatment refractoriness in AQP4‐IgG‐positive NMOSD patients treated with rituximab. …”
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  5. 605
  6. 606

    Factors associated with the risk of progression and decompensation of heart failure in patients with an implantable cardioverter-defibrillator by N. B. Lebedeva, I. V. Talibullin, P. G. Parfenov, A. P. Egle, O. L. Barbarash

    Published 2024-04-01
    “…Aim. To analyze clinical and anamnestic factors associated with the risk of acute decompensated heart failure (ADHF) in patients with an implanted cardioverter-defibrillator (ICD) with the development of a prognostic model based on the Kuzbass registry of patients with ICD.Material and methods. …”
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  7. 607

    Carbon Emission Influencing Factors and Scenario Prediction for Construction Industry in Beijing–Tianjin–Hebei by Wensheng Liu, Danchen Ren, Changbo Ke, Wei Ying

    Published 2023-01-01
    “…In this paper, the factors causing the change in carbon emissions from direct energy consumption in the construction industry in Beijing–Tianjin–Hebei are decomposed using the logarithmic mean divisia index (LMDI) method to analyze the effect values and contribution rates of each macrofactor. …”
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  8. 608

    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
    “…Objective To explore and analyze the risk factors of left ventricular hypertrophy(LVH) in patients with non-dialysis chronic kidney disease(ND-CKD), and to provide evidence for prevention of LVH in patients with ND-CKD. …”
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    Article
  9. 609

    Analysis of spatial distribution characteristics and influencing factors of depression among elderly people in China by TANG Yuxuan, HAN Zhengfeng

    Published 2025-03-01
    “…The differences between the depression group and the non depression group were compared, and multiple Logistic regression analysis was used to explore the influencing factors of depression in the elderly.Results A total of 8,351 elderly people were included. …”
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  10. 610

    Identification of risk- and preventive factors predicting child maltreatment in pregnant women with psychosocial problems by Michi Ogawa, Tasuku Hashimoto, Tasuku Hashimoto, Tasuku Hashimoto, Mami Tanaka, Hiroki Ishii, Hiroki Ishii, Hiroki Ishii, Ryota Seki, Aiko Sato, Aiko Sato, Atsushi Kimura, Jun Okayama, Mamiko Endo, Naoki Saito, Masaomi Iyo, Masaomi Iyo

    Published 2025-05-01
    “…Multiple logistic regression analysis was performed to identify the risk factors and preventive factors influencing child maltreatment within the first month postpartum.ResultsA total of 253 pregnant women were included in the analysis, of whom 54 were reported for child maltreatment. …”
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  11. 611
  12. 612

    Risk factors for prolonged hospitalization in acute decompensated heart failure from the HEROES study by Mateusz Lucki, Przemysław Mitkowski, Ewa Lucka, Marek Grygier, Ewa Straburzyńska-Migaj, Robert Morawiec, Agnieszka Kapłon-Cieślicka, Agata Galas, Katarzyna Byczkowska, Piotr Hamala, Iwona Gorczyca-Głowacka, Anna Furman-Niedziejko, Dominika Klimczak-Tomaniak, Agnieszka Major, Adrian Stefański, Mateusz Guzik, Małgorzata Zachura, Mateusz Staciwa, Ewa Pierzchała, Maciej Nadel, Maciej Lesiak

    Published 2025-08-01
    “…Abstract This study, part of the HEROES project (HEart failure Risk factOrs and patiEnt Stratification), aimed to identify clinical, laboratory, functional, and treatment-related factors associated with hospitalization duration (above and below 8 days) in patients admitted for acute decompensated heart failure (ADHF). …”
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  13. 613

    Renal pathology-related factors in non-nephrotic-range proteinuria of lupus nephritis patients by LIU Ting-ting, YANG Yi, DAI Wei, LI Yue-qiang, HAN Min, HE Xiao-feng, GE Shu-wang, XU Gang

    Published 2019-01-01
    “…Log-rank test was used to compare the difference of remission rate between the mild pathologic damage group and severe pathologic damage group. Logistic regression equation was used to analyze the renal pathology-related risk factors. …”
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  14. 614

    Analysis of influencing factors of acute kidney injury after spontaneous intracerebral hemorrhage surgery by ZHANG Lei, QU Tong-jun, WU Sheng, ZHANG Tao, ZHANG Guo-bin

    Published 2025-07-01
    “…Objective To analyze the influencing factors of acute kidney injury (AKI) after surgery in spontaneous intracranial hemorrhage (sICH). …”
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  15. 615

    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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  16. 616

    Factors associated with high probability of target blood pressure non-achievement in hypertensive patients by S. P. Zhemanyuk, V. V. Syvolap

    Published 2017-12-01
    “…Results According to the univariate logistic regression analysis, the dependent factors influencing the target blood pressure level poor reaching are the average diurnal diastolic blood pressure (DBP) (OR = 44.8); diurnal variability of systolic blood pressure (SBP) (OR = 4.4); square index of hypertension for diurnal periods SBP (OR = 318.9); square index of hypertension for diurnal periods DBP (HS = 36,6); the average pulse blood pressure (OR = 65.9), the rate of morning rise of SBP (OR = 3.6), and the maximum aggregation time of 5-minute ADP-induced platelet aggregation (OR = 3.5). …”
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  17. 617
  18. 618

    Emotional Suppression Characteristics and Influencing Factors of Ovarian Cancer Patients - Latent Profile Analysis by Wu Y, Zhang Y, Yuan J, Yang J, Chen L, Zhu W, Xu C

    Published 2025-07-01
    “…Yaru Wu,1 Yuting Zhang,1 Jing Yuan,1 Juan Yang,1 Ling Chen,2,3 Wei Zhu,2,3 Chunyan Xu2,3 1School of Nursing, Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Department of Gynecological Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 3Health Care Research Center for Xinjiang Regional population, Urumqi, Xinjiang, People’s Republic of ChinaCorrespondence: Chunyan Xu, Email xcy101413@163.comBackground: This quantitative study aimed to analyze the potential categories of emotional suppression characteristics and explore the influencing factors of different categories among ovarian cancer chemotherapy patients in Western Region of China.Methods: From September 2024 to March 2025, a convenience sampling method was used to administer a questionnaire to ovarian cancer chemotherapy patients at a gynecology center within a university hospital situated in the Northwest region of China. …”
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  19. 619

    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
    “…Univariate and multivariate logistic stepwise regression analyses were conducted to identify the risk factors for postoperative pneumonia in this population. …”
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  20. 620

    Analysis on related risk factors for cardiocerebral vascular diseases in patients with diabetic kidney disease by ZHANG Zhi-xu, GAO Ai-qing, RAO Xiao-pang

    Published 2019-01-01
    “…Multivariate Logistic regression analysis was used to analyze the risk factors in diabetic kidney disease patients with cardiocerebral vascular diseases.Results Among the 800 patients with diabetic kidney disease,558 ones had cardiocerebral vascular complications(69.75%), with the incidences of coronary artery disease(CAD),left ventricular hypertrophy(LVH),congestive heart failure(CHF),cerebral vascular accident(CVA)and large atherosclerosis(LA)of 12.50%(100/800), 4.13%(33/800), 4.37%(35/800), 13.75%(110/800)and,35.00%(280/256),respectively.The incidences of the above five cardiocerebral vascular complications of DKD patients with chronic kidney disease(CKD) stage I to V were 2.50%(20/800), 3.75%(30/800), 12.50%(100/800), 17.5%(140/800) and 33.5%(268/800), respectively.The differences of the incidences of the above five cardiocerebral vascular complications between DKD patients with difference CKD stages had statistical significance(χ<sup>2</sup>=14.138,P=0.001).There were differences of statistical significance(P<0. 05) of age, body mass index(BMI), SBP, drinking rate, smoking rate, HbA1 C, Scr, SUA, TC, LDL-C, UACR, Apoa, PTH and β<sub>2</sub>-MG between the two groups. …”
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