Establishment and validation of predictive model of ARDS in critically ill patients by Senhao Wei, Hua Zhang, Hao Li, Chao Li, Ziyuan Shen, Yiyuan Yin, Zhukai Cong, Zhaojin Zeng, Qinggang Ge, Dongfeng Li, Xi Zhu

“…Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were used to screen predictor variables. …”
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Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy by Cong Feng, Bo Yang, Linlang Liang

“…[Results] There was no significant difference in the data between disease group 1 and disease group 2 (P>0.05).The gender, course of disease, use of catheter, glycosylated hemoglobin (HbA1c), urinary albumin/creatinine ratio, estimated glomerular filtration rate(eGFR), and cystatin C(Cys-C) of the combined group and the non combined group in disease group 1 were statistically significant(P<0.05).Multivariate logistic regression analysis showed that female, urinary catheter, HbA1c>7.5%, high Cys-C and low eGFR were the risk factors of urinary tract infection in elderly patients with diabetes nephropathy (P<0.05).A nomogram was constructed from the results of multivariate logistic regression analysis.In the ROC curve for validating the nomogram model, the area under the curve was higher in disease group 1 and disease group 2 [0.915 (95%CI: 0.871~0.959) and 0.926 (95%CI: 0.865~0.986)] (P<0.05).The fitting test results showed that the application performance of the prediction model was good in the disease 1 group and the disease 2 group, and the difference between the prediction results and the actual results was not significant (P>0.05).Calibration curve showed that disease group 1 and disease group 2 were almost consistent with the ideal curve in this prediction model. …”
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Relationship between stress hyperglycemia ratio and progression of non target coronary lesions: a retrospective cohort study by Shiqi Liu, Ziyang Wu, Gaoliang Yan, Yong Qiao, Yuhan Qin, Dong Wang, Chengchun Tang

“…A hybrid model combining logistic regression and XGBoost yielded the best predictive performance, with an AUC of 0.78 (95% CI: 0.72–0.85), incorporating SHR, number and stenosis severity of non target lesions (NTLs), hypertension and high-density lipoprotein cholesterol (HDL-c). …”
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Kinesiophobia and associated factors among people with musculoskeletal disorders in Ethiopia: a multicenter cross-sectional study by Yazachew Mekonnen, Moges Gashaw, Yohannes Abich, Mihret Dejen Takele, Samuel Teferi Chanie, Dechasa Imiru Wayessa, Sisay Deme, Alemu Kassaw Kibret

“…The collected data was entered into Epi-data version 4.6.0.6 and analyzed using SPSS version 25. Binary logistic regression analysis was employed to identify the potential candidates for multivariable logistic regression with a p-value less than 0.25. …”
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Alcohol Consumption Is a Risk Factor for Lower Extremity Arterial Disease in Chinese Patients with T2DM by Shanshan Yang, Shuang Wang, Bo Yang, Jinliang Zheng, Yuping Cai, Zhengguo Yang

“…We used propensity score matching to reduce the confounding bias between groups. Additionally, a logistic regression analysis was performed with the matched data to evaluate the LEAD risk. …”
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Circumstantial risk factors for death after intensive care unit-to-unit inter-hospital transfer—a Swedish registry study by Jesper Sternley, Karl Stattin, Max Petzold, Jonatan Oras, Christian Rylander

“…Using univariable logistic regression, days spent in the referring ICU before transfer, capacity transfer as compared to clinical transfer and repatriation as well as SAPS3 in the receiving ICU were associated with a higher risk of death at 30 days. …”
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Prevalence and Factors Associated with Preterm Birth in Urban Areas: Case-Control Study by Rozhan Khezri, Shaker Salarilak, Sepideh Jahanian

“…Statistical analyses were performed using logistic regression.Results: The prevalence of PTB was 7.43%. …”
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Patients Hospitalized in General Wards via the Emergency Department: Early Identification of Predisposing Factors for Death or Unexpected Intensive Care Unit Admission—A Historical... by Thierry Boulain, Isabelle Runge, Nathalie Delorme, Angèle Bouju, Antoine Valéry

“…Prospective cohort study in a medical-surgical adult ED in a teaching hospital, including consecutive patients hospitalized on regular wards after ED visit, and identification of predictors by logistic regression and Cox proportional hazards model. …”
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Depth of Anesthesia as a Risk Factor for Perioperative Morbidity by Argyro Petsiti, Vassilios Tassoudis, George Vretzakis, Dimitrios Zacharoulis, Konstantinos Tepetes, Georgia Ganeli, Menelaos Karanikolas

“…However, when all variables were examined together in a multiple logistic regression model, age and comorbidity were no longer associated with outcome. …”
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Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea by Kilian Bürgi, Charles Bouveyron, Diane Lingrand, Benoit Derijard, Frédéric Precioso, Cécile Sabourault

“…In most cases, Underwater Visual Census (UVC) is the preferred method, however this can be costly in terms of human effort and is limited by meteorological and logistical factors. Advances in technology allows the utilisation of more autonomous video recording methods (i.e. …”
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An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department by Yuwares Sittichanbuncha, Patchaya Sanpha-asa, Theerayut Thongkrau, Chaiyapon Keeratikasikorn, Noppadol Aekphachaisawat, Kittisak Sawanyawisuth

“…Patients were categorized as ACS and non-ACS group by the final diagnosis. Multivariate logistic analysis was used to predict factors associated with ACS. …”
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Prevalence of overweight/obesity and its association with fast food consumption among adolescents in Southern Ethiopia, 2022: a community-based cross-sectional study by Chernet Elias, Awoke Abraham, Chernet Asrat, Tagese Yakob, Daniel Girma

“…All variables with p-values less than or equal to 0.25 in bivariate logistic regression were candidate variables for multivariable logistic regression. …”
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Knowledge, Attitudes, and Practices Related to Preoperative Chemoradiotherapy in Rectal Cancer Patients by Xingxing Chen, Ruifang Lin, Huifang Li, Meng Su, Wenyi Zhang, Xia Deng, Ping Zhang, Changlin Zou

“…However, the vast majority of participants (68.5%) expressed a positive attitude toward rectal cancer. Multivariate logistic regression analysis revealed that knowledge level (p=0.006) and attitudes (p=0.001) influence the actual practice significantly. …”
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Clinical risk factors for sarcopenia in acute and chronic pancreatitis by Mitchell L. Ramsey, Andrew Lu, Kristyn Gumpper-Fedus, Stacey Culp, David Bradley, Darwin L. Conwell, Zobeida Cruz-Monserrate, J. Royce Groce, Samuel Han, Somashekar G. Krishna, Peter Lee, Thomas Mace, Georgios I. Papachristou, Kristen M. Roberts, Zarine K. Shah, Phil A. Hart

“…Univariate and multivariate logistic regressions were performed to assess differences between groups and associations with sarcopenia. …”
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The Association between Female Reproductive Factors and Open-Angle Glaucoma in Korean Women: The Korean National Health and Nutrition Examination Survey V by Yong Un Shin, Eun Hee Hong, Min Ho Kang, Heeyoon Cho, Mincheol Seong

“…In the multivariate logistic regression analysis after adjusting for all potential confounding factors, only early menopause (younger than 45 years) was significantly associated with OAG in participants with natural menopause (OR 2.28, 95% CI 1.17–4.46). …”
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Factors Associated with Diabetic Retinopathy in Chinese Patients with Type 2 Diabetes Mellitus by Bin-Bin He, Li Wei, Yun-Juan Gu, Jun-Feng Han, Ming Li, Yu-Xiang Liu, Yu-Qian Bao, Wei-Ping Jia

“…Correlation analysis was performed to evaluate the relation between DR and clinical variables. Logistic regression models were used to assess risk for those factors associated with DR. …”
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Association between hyperuricemia and dietary retinol intake in Southwest China: a cross-sectional study based on CHNS database by Yi Liang, Tian Qiao, Xiaorong Ni, Lihui Yang, Tianhua Yao, Yiya Liu

“…Dietary retinol intake was categorized using quantile-based methods, and hyperuricemia was identified as the primary outcome. Logistic regression models were used to estimate odds ratios and 95% confidence intervals, with analyses stratified by gender. …”
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Factors related to the development of pneumonia associated with ischemic stroke by Alexis Suárez Quesada, Alexis Álvarez Aliaga, Andrés Quesada Vázquez, Julia Matilde Pupo Jiménez

“…<strong><br />Conclusion</strong>: the logistic regression model made it possible to identify the factors related to the development of pneumonia associated with ischemic stroke based on data available on a regular basis in healthcare practice.…”
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Knowledge and behavior: a study on adoption of best management practices among Sri Lankan shrimp farmers by Abeykoon Nirukshika D. F., Kono Hiroichi, Kato Keisuke, Sajiki Takahiro, Athambawa Jiffry

“…According to the ordered logistic regression results, BMP training (p < 0.01), education (p < 0.05), and workforce (p < 0.05) significantly affect the knowledge level of BMPs. …”
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Fibrinogen-to-Albumin Ratio Predicts Contrast-Induced Nephropathy in Patients after Emergency Percutaneous Coronary Intervention by Zhebin You, Tailin Guo, Fan Lin, Chunjin Lin, Jiankang Chen, Xiaoming Li, Yan Chen, Kaiyang Lin

“…In the multivariate logistic analysis, FAR was an independent predictor of CIN (OR = 3.97; 95% CI, 1.61–9.80; P=0.003) along with perihypotension, age >75 years, and LVEF <45%, and 0.106 was the optimal cutoff value of preprocedural FAR to predict CIN. …”
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