Showing 6,641 - 6,660 results of 7,244 for search '"Risk factor"', query time: 0.10s Refine Results
  1. 6641

    Blue sclerae and their association with glaucoma (a review and case report) by T.A. Beletskaya, E.V. Kozina, D.V. Dmitrenko, Yu.I. Gavrilova

    Published 2023-11-01
    “…Makarov Krasnoyarsk Regional Ophthalmological Clinical Hospital, Krasnoyarsk, Russian Federation </p> <p> This paper reviews the key risk factors and clinical manifestations of blue sclerae, which include a large group of diseases of various origins. …”
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  2. 6642

    Farmers’ knowledge and perception of finger millet blast disease and its control practices in western Kenya by Wilton Mbinda, Agnes Kavoo, Fredah Maina, Margaret Odeph, Cecilia Mweu, Naomi Nzilani, Mathew Ngugi

    Published 2021-03-01
    “…Here, we present a study that investigated the occurrence, impact, risk factors and farmers’ knowledge and perceptions of finger millet blast in Kenya. …”
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  3. 6643

    Validation of a paediatric sepsis screening tool to identify children with sepsis in the emergency department: a statewide prospective cohort study in Queensland, Australia by Paula Lister, Kristen Gibbons, Luregn J Schlapbach, Adam Irwin, Michael Rice, Sainath Raman, Amanda Harley, Patricia Gilholm

    Published 2023-01-01
    “…We assessed the performance of the paediatric sepsis screening tool using stepwise multiple logistic regression analyses with 10-fold cross-validation and evaluated the final model at defined risk thresholds.Setting Twelve emergency departments (EDs) in Queensland, Australia.Participants 3473 children screened for sepsis, of which 523 (15.1%) were diagnosed with sepsis.Interventions A 32-item paediatric sepsis screening tool including rapidly available information from triage, risk factors and targeted physical examination.Primary outcome measure Senior medical officer-diagnosed sepsis combined with the administration of intravenous antibiotics in the ED.Results The 32-item paediatric sepsis screening tool had good predictive performance (area under the receiver operating characteristic curve (AUC) 0.80, 95% CI 0.78 to 0.82). …”
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  4. 6644

    Gambaran NAFLD pada Pasien dengan Sindrom Metabolik di Poliklinik Penyakit Dalam RSUP Dr. M. Djamil Padang by Nadila Andam Astari, Eva Decroli, Eti Yerizel

    Published 2015-05-01
    “…<br />Kata kunci: sindrom metabolik, NAFLD, obesitas</p><p> </p><p>Abstract<br />Metabolic syndrome is a set of cardiovascular disease risk factors that occur simultaneously on an individual, i.e. increase in fasting blood sugar, central obesity, dyslipidemia, and hypertension. …”
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  5. 6645

    Prevalence of chronic kidney disease in Saudi Arabia: an epidemiological population-based study by Mohammed A. Alshehri, Husain Y. Alkhlady, Zuhier A. Awan, Mohammed Ridha Algethami, Hadiah B. Al Mahdi, Hussam Daghistani, Khalid Orayj

    Published 2025-01-01
    “…This study aimed to highlight the prevalence of CKD and its associated risk factors across Saudi Arabia. Method: This is a cross-sectional study conducted from 2015 to 2022, using data from 42 branches of a major network of diagnostic laboratories in Saudi Arabia, covering the country's 13 administrative areas. …”
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  6. 6646

    Joint association of the inflammatory marker and cardiovascular-kidney-metabolic syndrome stages with all-cause and cardiovascular disease mortality: a national prospective study by Yifei Cao, Wenfeng Wang, Shidong Xie, Yanfang Xu, Zishan Lin

    Published 2025-01-01
    “…CKM stages were classified based on metabolic risk factors, CVD, and chronic kidney disease. Systemic inflammation was assessed using multiple indicators, and time-dependent ROC analysis identified the systemic inflammatory response index (SIRI) as the most effective inflammatory marker. …”
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  7. 6647

    Time to neonatal mortality and its predictors among preterm neonates admitted to the neonatal intensive care unit in northern Ethiopia, 2023/2024: a retrospective cohort study by Brhanu Fisseha, Eskedar Berhanie Gidey, Berhe Gebrehiwot Tewele, Teklehaimanot Gereziher Haile

    Published 2025-01-01
    “…Conclusion Respiratory distress syndrome, gestational age less than 32 weeks, and perinatal asphyxia at admission were found to be independent risk factors for preterm neonatal mortality. Breastfeeding and receiving kangaroo-mother care were independent preventive predictors of preterm neonatal mortality. …”
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  8. 6648

    DENND5B Gene Expression as a Trigger for the Development of Diabetes Mellitus–Peripheral Artery Disease: Insights from a Univariate and Multivariate Mendelian Randomization Study by Qiaoqiao Li, Fuli Cao, Xueping Gao, Yuan Xu, Bo Li, Tianyang Hu

    Published 2024-12-01
    “…Notably, diabetes mellitus (DM) stands out as one of the most significant risk factors for the development of PAD. Compared to individuals with PAD but no DM, those with concurrent DM and PAD (DM-PAD, diabetes mellitus–peripheral artery disease) face a seven-fold higher risk of critical limb ischemia and a five-fold higher risk of amputation. …”
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  9. 6649

    Occupational noise-induced hearing loss in China: a systematic review and meta-analysis by Yong Hu, Jiena Zhou, Zhihao Shi, Lifang Zhou, Meibian Zhang

    Published 2020-09-01
    “…Age, noise level and exposure duration were also risk factors for HFNIHL (overall weighted OR=1.35, 5.63 and 1.75, respectively).Conclusions The high prevalence of occupational NIHL in China was related to the wide distribution of noise in different industries as well as high-level and long-term noise exposure. …”
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  10. 6650

    Association between Mediterranean diet and metabolic health status among adults was not mediated through serum adropin levels by Maryam Shafiei, Donya Poursalehi, Sobhan Mohammadi, Farnaz Shahdadian, Zahra Hajhashemy, Parisa Rouhani, Elahe Mokhtari, Parvane Saneei

    Published 2025-01-01
    “…Metabolic unhealthy (MU) status was defined as having ≥ 2 cardio-metabolic risk factors. Results After adjustments for potential confounders, subjects in highest versus lowest tertile of MD had 52% lower odds of MU status (OR = 0.48, 95%CI: 0.23–0.97). …”
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  11. 6651

    Factors determining primary or delayed surgery for unilateral, non-metastatic Wilms tumor: a multicentric Egyptian study by Ahmed Elgendy, Amr Abdelhamid AbouZeid, Mohamed El-Debeiky, Shaimaa Abdelsattar Mohammad, Marwa Romeih, Ahmed Ebeed, Mohamed Abouheba, Mohammed Hamada Takrouney, Mahmoud Mostafa, Ahmed Khairi, Osama El-Naggar, Sameh Shehata

    Published 2025-02-01
    “…Conclusions In our study, tumors larger than 12 cm and/or crossing the midline, if without other risk factors, did not significantly influence the decision for primary nephrectomy in unilateral, non-metastatic WT. …”
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  12. 6652
  13. 6653

    Identifying high-risk population segments for underweight, overweight, and obesity among reproductive-age women in sub-Saharan Africa by Amare Abera Tareke, Amare Abera Tareke, Anissa Mohammed, Amare Muche, Yeshimebet Ali

    Published 2025-01-01
    “…Factors such as education, wealth, age, contraceptive use, parity, and marital status were risk factors for overweight and obesity but were protective against underweight. …”
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  14. 6654

    Associations of the Need for Surgery in Emergency Department Patients with Small Bowel Obstructions by Daniel J. Berman, Alexander W. Mahler, Ryan C. Burke, Andrew E. Bennett, Nathan I. Shapiro, Leslie A. Bilello

    Published 2024-11-01
    “…Our primary outcome was to identify independent risk factors that are associated with the decision for surgical intervention, and our secondary outcome was to describe characteristics of visits associated with complications. …”
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  15. 6655

    Predicting residual pain after vertebral augmentation in vertebral compression fractures: a systematic review and critical appraisal of risk prediction models by Siyi Wang, Mingpeng Shi, Xue Zhou, Jianan Yu, Mingze Han, Xianshuai Zhang, Zhenhua Li, Xinhua Chen

    Published 2025-01-01
    “…Clinicians can utilize these models alongside relevant risk factors to predict and prevent residual pain after vertebral augmentation, or to formulate personalized treatment plans.…”
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  16. 6656

    Prevalence, influencing factors, and prediction model construction of anemia in ankylosing spondylitis based on real-world data: An exploratory study. by Yifan Gong, Kun Yang, Zhaoyang Geng, Hongxiao Liu

    Published 2025-01-01
    “…The results of multivariate stepwise logistic regression analysis showed that female gender, underweight, ossification, abnormal CRP and ESR were independent risk factors for anemia in AS (P < 0.05). Based on the results of multivariate stepwise logistic regression analysis, a predictive model for anemia in AS was established as Logit(P) = -5.02 + 2.041 × gender -1.11 × BMI(body mass index) category + 1.103 × ossification category + 0.942 × CRP category + 1.476 × ESR category. …”
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  17. 6657

    Clinical Patterns and Outcome of Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease by Seon Young Ahn, Suk Bae Kim, Il Han Song

    Published 2020-01-01
    “…NAFLD-related HCC patients were more commonly older women and had more metabolic risk factors but were less likely to have cirrhosis and ascites, compared to ALD-related or HBV-related HCC patients. …”
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  18. 6658

    Short-Term and Long-Term Effects of Bariatric Surgery on Diabetic Retinopathy: A Systematic Review by Erika Butkutė, Monika Zieniūtė, Agnė Morkūnaitė, Vilma Jūratė Balčiūnienė

    Published 2025-01-01
    “…Further studies should explore additional risk factors to better predict DR outcomes post-surgery. …”
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  19. 6659

    The mediating role of aging attitudes between social isolation and self-neglect: a cross-sectional study of older adults living alone in rural China by Yuling Jia, Yuexue Yue, Yu Sheng

    Published 2025-01-01
    “…Despite extensive research on the prevalence and risk factors of self-neglect, the underlying psychosocial mechanisms remain underexplored. …”
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  20. 6660

    Propranolol for Treatment of Infantile Hemangioma: Efficacy and Effect on Pediatric Growth and Development by Rachel A. Giese, Merit Turner, Mario Cleves, J. Reed Gardner, Gresham T. Richter

    Published 2021-01-01
    “…The children were divided into two cohorts based on the presence of comorbidities or risk factors that may affect growth and development (n=142 no comorbidities, n=43 with comorbidities). …”
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