Non-traditional lipid parameters are independent predictors of the location, distribution, and stroke events of moderate-to-severe intracranial and extracranial atherosclerotic ste... by Yin Fei Huang, Zhen Xing Liu, Kuan Cen, Ren Wei Zhang, Qiao Yuan Xiang, Qi Cai, Chun Jiao Yang, Lei Luo, Hai Long Xu, Yu Xie, Yu Min Liu

“…ObjectiveModerate-to-severe stenosis has been identified as a significant risk factor for stroke recently. This study aims to investigate the relationship between non-traditional lipid parameters and the location and distribution of stenosis, as well as symptomatic events, in patients with moderate-to-severe intracranial atherosclerotic stenosis (ICAS) and extracranial atherosclerotic stenosis (ECAS).MethodsThis study analyzed correlation between non-traditional lipid parameters and moderate-to-severe ICAS and ECAS concerning stenosis location, distribution, and the presence or absence of symptoms. …”
Get full text

A mixed-methods study on negative psychological states of infertile women undergoing assisted reproductive treatment by Jia-Yu Hu, Yi-Dan Wu, Zhen Xiao, Meng-Ting Yu, Yue-Feng Liu, Yu-Ting Peng, Xiao-Hua Fu, Yu Zhang

“…Descriptive statistics were conducted on the participants’ demographic information and clinical data, and multiple linear regression analysis was performed on the quantitative data to determine the risk factors for negative psychological states. …”
Get full text

Prognostic significance of glutathione peroxidase 2 in gastric carcinoma by Dongzhe Liu, Liang Sun, Jinxue Tong, Xiuhui Chen, Hui Li, Qifan Zhang

“…Kaplan–Meier analysis, as well as the log-rank test and multivariate Cox regression analysis, showed that multiple clinicopathological risk factors and glutathione peroxidase 2 expression were novel independent prognostic factors for gastric carcinoma (all p values < 0.05). …”
Get full text

C - reactive protein predicts proximal femur osteomyelitis in suppurative hip arthritis by Haiting Jia, Tao Liu, Jiazhi Yu, Mingzhu Lu

“…Logistic regression analysis was used to determine independent risk factors for proximal femoral osteomyelitis. …”
Get full text

Association of maternal multi-metal exposure and dyslipidemia: a study of air pollution on pregnancy outcomes by Yoon-Young Go, Young Min Hur, Young-Ah You, Sunwha Park, Gain Lee, Rin Chae, Soo-Min Kim, Young Ju Kim

“…Methods The concentrations of 16 metals were measured in 60 urine samples collected during the second trimester pregnancy. Logistic regression and Bayesian kernel machine regression (BKMR) models were used to analyze the single and overall effects of metal exposure on pregnancy complications, respectively. …”
Get full text

Global trends and inequities in smoking-attributable aortic aneurysm burden from 1990 to 2021 with future projections by Shuai Zhang, Zhaohui Hua, Zhen Li, Hui Cao, Shuai Cheng

“…Decomposition analysis partitioned contributions of population growth, aging, and epidemiological factors. …”
Get full text

Association between Diabetes Knowledge and Self-Efficacy in Patients with Type 2 Diabetes Mellitus in China: A Cross-Sectional Study by Tieying Qiu, Jin Huang, Weixing Wang

“…The relationship between the ADKnowl and the GSE scores was analyzed using the Spearman correlation analysis. Differences in the ADKnowl and GES scores among groups with different sociodemographic characteristics were computed; significant variables and GES scores were input in the multiple stepwise linear regression model to predict the influencing factors of ADKnowl scores. …”
Get full text

Correlation between latent categories of body image and sleep quality in adolescent orthodontic patients by Chen Xu, Ying Zhang, Bin Xiong, Hualun Wang, Mengyao Liang

“…Logistic regression analysis indicated that female gender, self-negative, and self-critical body image types were significant risk factors for poor sleep quality in this population (P < 0.05). …”
Get full text

The impact of digital marketing on customer satisfaction in dental tourism in Serbia by Bojana Ostojić, Dženis Bajramović, Milena Cvjetković

“…The collected data were analyzed using correlation and regression analysis to determine the relationship between digital marketing factors and user satisfaction and loyalty. …”
Get full text

Highly expressed of SERPINA3 indicated poor prognosis and involved in immune suppression in glioma by Qing Yuan, Song‐Quan Wang, Guang‐Tao Zhang, Jie He, Zhi‐Dan Liu, Ming‐Rong Wang, Hong‐Qing Cai, Jing‐Hai Wan

“…Results Univariate and multivariate regression both indicated that the level of SERPINA3 transcript represented an independent prognostic factor. …”
Get full text

The Prognostic Value of Inflammatory Indexes in Patients With Severe Traumatic Brain Injury by Yongxiang Yang, Dongbo Zou, Chen Yin, Xiansong Zhu, Yunxing Li, Yuan Ma, Jingmin Cheng

“…ROC curve and multivariate logistic regression analysis indicated that NLR at 3 days after admission was an independent prognostic factor for GOS in patients with sTBI. …”
Get full text

A novel prognostic signature based on m5C‑related LncRNAs and its immunological characteristics in colon adenocarcinoma by Zihe Liu, Sheng Chang, Shouguo Chen, Rong Gu, Shaoyong Guo

“…Prognostic lncRNAs were identified through univariate Cox regression, and a risk model was constructed through LASSO regression analyses. …”
Get full text

Severity and Prognosis of Vascular Dementia in Patients with Acute Cerebral Infarction Combined with H-Type Hypertension and Its Correlation with Uric Acid Levels by Hong Y, Feng M

“…Based on cognitive function scores, patients were further classified into mild, moderate, and severe dementia subgroups, and differences in uric acid and homocysteine levels were analyzed. Prognosis was assessed in the observation group after three months of treatment using activities of daily living scores, and logistic regression was performed to identify prognostic factors.Results: The observation group had significantly higher blood uric acid levels than the control group (P&lt; 0.05). …”
Get full text

Clinical features of heart failure in patients with atrial fibrillation: the role of the endovascular left atrial appendage closure by D. V. Pevzner, N. S. Kostritca, I. A. Merkulova, O. B. Dorogun, A. L. Komarov, I. S. Yavelov

“…A univariate analysis using Cox regression was conducted to identify independent predictors of endpoint achievement, involving all clinical and historical factors. …”
Get full text

Model characteristics of the structure and interrelations of integral parameters of students' physical condition by Oleksandr Pryimakov, Marek Sawczuk, Oleksii Tymoshenko, Nataliya Mazurok

“…It examined the correlations among integral components of students' structure, including somatic health (SH), adaptation potential (AP), aerobic physical work capacity (APWC), and biological age (BA). The study utilized factor analysis, correlation analysis, dispersion analysis, and regression analysis to examine the relationships and patterns within the collected data. …”
Get full text

Application of continuous renal replacement therapy (CRRT) in patients with severe acute pancreatitis: an analytical study by Yiru Weng, Zhouzhou Dong, Gongjie Ye, Linhui Shi, Panpan Liu, Tingting Zhou, Honghua Ye

“…Multivariate analysis identified CRRT as an independent protective factor and Marshall score as a risk factor. …”
Get full text

Correlation between Insulin Resistance and Microalbuminuria Creatinine Ratio in Postmenopausal Women by Han Na, Rong Wang, Hai-Long Zheng, Xiao-Pan Chen, Lin-Yang Zheng

“…Multiple linear stepwise regression analysis further showed that HOMA-IR and age were positively correlated with UACR (P<0.05). …”
Get full text

Red cell distribution width-to-platelet ratio (RPR) as a predictor of prolonged stay at hospital for COVID-19 inpatients by Martha Fors, Santiago J. Ballaz

“…One exemption was the red cell distribution width-to-platelet ratio (RPR) index, which can increase the probability of a longer hospital stay by up to ten times (HR(IC95%) = 0.092(0.03-0.29); p < 0.001).Conclusion The most effective biomarker to identify COVID-19 patients at high risk for extended hospital stay was RPR.Highlights IntroductionDetermining hospital Length of Stay (LoS) is vital for resource management, especially for future COVID-19 outbreaks.Previous studies have primarily focused on sociodemographic and clinical attributes, along with resource availability, but have not accounted for other factors like routine laboratory tests, which can significantly impact LoS predictions.This study examines novel hematology scores as predictors of LoS, emphasizing their importance in resource-limited settings like Ecuador.MethodsThis retrospective cohort study analyzed 2,930 COVID-19 patients admitted to Hospital IESS Quito Sur in Ecuador focusing on confirmed cases with complete blood count (CBC) values to assess LoS.The study explored various hematological ratios, such as the neutrophil-to-lymphocyte ratio (NLR) and red cell distribution width-to-lymphocyte ratio (RLR), as potential predictors of LoS and in-hospital outcomes for COVID-19 patients, using a combination of univariate and multivariable Cox proportional hazards regression models.Kaplan-Meier survival estimates and log-rank tests were used to analyze survival and discharge probabilities over time, highlighting sex-dependent effects and the significant association between selected hematological indices and patient outcomes.ResultsThe mean LoS for survivors was significantly shorter compared to those who died (p < 0.001), indicating that longer hospitalization was associated with higher mortality risk.Women had a shorter average LoS (with lower mortality risk (p < 0.001), suggesting an asymmetrical hospitalization pattern based on sex.While most hematological markers had minimal clinical relevance for LoS, the red cell distribution width-to-platelet ratio (RPR) stood out, increasing the likelihood of a longer hospital stay by up to tenfold, making it a critical factor in predicting prolonged hospitalization.DiscussionMen had longer hospital stays and higher mortality rates than women, likely due to differing inflammatory responses, though hyperinflammation markers like NLR, PLR, and Leu-CPR had minimal clinical impact.RPR had the strongest link to longer hospital stays, indicating a higher risk of extended hospitalization in severe COVID-19 cases.Elevated RPR is tied to oxidative stress and coagulation issues, suggesting early identification could help reduce prolonged stays and complications.ConclusionResearch generally points to clinical complications from COVID-19 as the main factor behind prolonged hospitalizations, underlining the importance of early identification and management of these issues.…”
Get full text

Oral health literacy and oral health status of a german adult population with migration background – findings from the MuMi Study by Berit Lieske, Christopher Kofahl, Katrin Borof, Kristin Spinler, Anna Poth, Demet Dingoyan, Thomas Beikler, Guido Heydecke, Ghazal Aarabi

“…Lastly, the logistic regression analysis revealed a significant association between better oral health literacy and lower API values. …”
Get full text

Exploring the potential associations between single and mixed volatile compounds and preserved ratio impaired spirometry using five different approaches by Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Ying Huang, Jianxing He

“…Additionally, the LightGBM model exhibited the highest predictive performance, with an AUC of 0.839. SHAP analysis identified race, body mass index (BMI), and 1,4-dichlorobenzene as the three most important factors. …”
Get full text