Sedative exposure and mortality in intracranial hypertensive tuberculous meningitis: a cohort study with propensity-score matching and machine learning analysis by Shijuan Cui, Fazheng Shen, Jianing Liang, Fan Li, Xiangyang Wang, Xin Liu, Haigang Chang

“…This study investigates the association between sedative exposure and mortality while identifying modifiable risk factors in this vulnerable population.MethodsIn this retrospective cohort study, we analyzed 1,875 intracranial hypertensive TBM patients from the MIMIC-IV database (v2.0). …”
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Analysis and comparison of the trends in burden of atrial fibrillation/atrial flutter in China and worldwide from 1990 to 2021 and predictions to 2036 of China by Zhilin Wang, Zhilin Wang, Zhenghua Shi, Zhenghua Shi, Jiayi Shen, Jiayi Shen, Susu Zhang, Susu Zhang, Yunteng Fang, Yunteng Fang, Wuming Hu, Wuming Hu, Lingchun Lv, Lingchun Lv

“…Furthermore, we analyzed the epidemiological characteristics of AF/AFL and compared them to global prevalence trends, employing joinpoint regression, decomposition, age-period-cohort (apc), and cross-country inequality analysis methods. …”
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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life’s essential 8: a cross-sectional study by Haolin Shi, Yangyi Fang, Xiuhua Ma

“…Linear and nonlinear associations of LE8 and OP were analyzed by multifactor logistic regression and restricted cubic spline (RCS). …”
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Analysis of the Japanese gestational diabetes mellitus diagnostic strategy during the coronavirus disease 2019 pandemic using DREAMBee study data by Yoshifumi Kasuga, Kei Miyakoshi, Maki Yokoyama, Noriyuki Iwama, Raishi Ichikawa, Hiroshi Yamashita, Ichiro Yasuhi, Asami Ito, Hirohito Sone, Atsuko Abiko, Shinichi Harashima, Maki Kawasaki, Naoko Arata, Shiori Sato, Yuko Iimura, Masako Waguri, Haruna Kawaguchi, Naoki Masaoka, Yoshiyuki Nakajima, Yuji Hiramatsu, Takashi Sugiyama, DREAMBee Study Gestational Diabetes Mellitus Group

“…The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the Japanese COVID‐19 GDM strategy were 35.4, 90.5, 68.9, and 70.3%, respectively. When the risk factors for insulin therapy were analyzed using a regression model, HbA1c and FPG levels were risk factors for GDM with insulin therapy (P < 0.0001). …”
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Real-world FDA database analysis unveiling cardiovascular adverse events associated with bispecific T cell engagers in multip myeloma by Chang Shan, Yanli Zhang, Xinxin Zhang, Lu Li, Yanwei Chen, Ying Liu

“…And logistic regression analysis reveals that critical risk factors for BiTE-associated CVAEs include older age, male sex, weight loss, cytokine release syndrome, and respiratory failure. …”
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Epidemiological trends of lung cancer attributed to residential radon exposure at global, regional, and national level: a trend analysis study from 1990 to 2021 by Qiang Xiong, Qiang Xiong, Zhen Zhang, Zhen Zhang, Jianliang Peng, Jianliang Peng, Jing Liang, Jing Liang, Dexing Lian, Dexing Lian, Xipeng Zhao, Xipeng Zhao, Lulu Wang, Lulu Wang, Tiangxiang Lu, Tiangxiang Lu, Yuwen Li, Yuwen Li

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The burden of migraine and predictions in the Asia–Pacific region, 1990–2021: a comparative analysis of China, South Korea, Japan, and Australia by Yun-Xia Wang, Guang-Shuang Lu, Jin-Jing Zhao, Wei Dai, Na Zheng, Guo-En Yao, Ruo-Zhuo Liu

“…Age-standardized rates (ASRs) were calculated to enable fair cross-country comparisons. Joinpoint regression analysis was applied to assess temporal trends, while Bayesian age-period-cohort (BAPC) modeling was used to project future trends until 2050. …”
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Association of albumin-corrected anion gap with mortality in ICU patients with heart failure and acute kidney injury: analysis of the MIMIC-IV database by Shaoyan Huang, Qiuwang Zhang, Fujiang Wei, Michael J. B. Kutryk, Jianzhong Zhang

“…Method Data from ICU patients with HF complicated by AKI between 2008 and 2022 were extracted and analyzed from the MIMIC-IV database. The association between baseline ACAG levels and all-cause mortality was assessed using multiple statistical methods, including variance inflation factor analysis, restricted cubic spline (RCS) modeling, Kaplan–Meier analysis, univariate and multivariate Cox regression, subgroup analysis, mediation analysis, and receiver operating characteristic (ROC) curve analysis. …”
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Additive interaction between hepatitis B virus infection and tobacco smoking on the risk of gastric cancer in a Chinese population by Danjing Chen, Rong Yu, Yongfeng Cai, He Zhang, Yijun Jiang, Yunli Wu, Xian-E Peng

“…The association between HBV infection and GC risk was analyzed using logistic regression and meta-analysis method was employed to make estimates more conservative. …”
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Breast and cervical cancer screening among women at reproductive age in Cambodia: A secondary analysis of Cambodia Demographic and Health Survey 2022. by Samnang Um, Heng Sopheab

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Characteristics of US Medical Schools That Produce the Highest Percentage of Orthopaedic Surgery Residents: Analysis of the 2019 to 2023 Orthopaedic Surgery Residency Cohort by Justin J. Lee, MD, Freddy P. Jacome, MD, Matthew Weintraub, BSE, Isaac E. Kim, Jr, MD, PhD, Sia Cho, BS, Avani Chopra, MD, Frances Akwuole, MD, Owen Lema, Yianni Bakaes, MD, Wellington Hsu, MD

“…A list of US medical schools matching the greatest number of residents into orthopaedic surgery was created and analyzed for correlative and predictive factors. Statistical analysis included Pearson correlation coefficient and univariable and multivariable linear regression. …”
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STAT1β modulates the tumor immune microenvironment to improve prognosis in ovarian cancer: a comprehensive study of transcriptional and protein expression differences by Ning Lan, Xintong Li, Yifan Qiao, Siyi Zhang, Min Chen, Xiaofeng Yang, Yuliang Zou, Juan Ren, Meili Pei

“…Clinical prognostic significance was analyzed using Cox proportional hazards regression models, complemented by multi-omics approaches including functional enrichment analysis, Tumor immune dysfunction and exclusion (TIDE) immune signature evaluation, and mediation effect models. …”
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Cardiac arrhythmia following acute myocardial infarction: a retrospective analysis of 27,648 hospitalized patients in a tertiary heart hospital by Nidal Asaad, Ayman El-Menyar, Rajvir Singh, Betsy Varughese, Shahul Hameed Khan, Hajar AlBinali, Jassim Al Suwaidi

“…Multivariable logistic regression analysis indicated that arrhythmia was associated with increased mortality risk three times following AMI (adjusted odds ratio 3.01; 95% confidence interval 2.42-3.75, p=0.001). …”
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A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

“…The lasso-stacking model had the best performance. SHAP analysis showed that functional exercise compliance, combined ligament injury, and open fracture accounted for the largest proportion of SHAP values and were the most important influencing factors.ConclusionThrough evaluation and comparison of the developed models, the lasso-stacking model demonstrated the best performance and is more suitable for predicting joint function recovery after ankle surgery. …”
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Meta-analysis identifies the major impact of patient classification on the ACPA association with rheumatoid arthritis-associated interstitial lung disease (RA-ILD) by Bartosz Kaczmarczyk, Carmen Conde, Antonio Gonzalez, the MARILD network

“…The identified studies were analyzed using meta-analysis and meta-regression to identify moderators of the ACPA association. …”
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Obesity is associated with lower bacterial vaginosis prevalence in menopausal but not pre-menopausal women in a retrospective analysis of the Women's Interagency HIV Study. by Elizabeth Daubert, Kathleen M Weber, Audrey L French, Dominika Seidman, Katherine Michel, Deborah Gustafson, Kerry Murphy, Christina A Muzny, Maria Alcaide, Anandi Sheth, Adaora A Adimora, Gregory T Spear

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A Bidirectional Two-Sample Mendelian Randomization Study of Genetic Causality Between Vitamin D Levels and Pemphigus by Wang Y, Cheng S, Que H

“…However, observational studies on this association remain inconclusive due to confounding factors. This study used genome-wide association study (GWAS) data for bidirectional two-sample Mendelian randomization (MR) analysis to clarify causality.Materials and Methods: Genetic instruments for serum vitamin D levels (61 SNPs) and pemphigus (3 SNPs) were analyzed via inverse variance weighting (IVW), weighted median, and MR-Egger regression. …”
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Association between serum lactate and mortality in critically ill ischemic stroke patients based on MIMIC-IV data by Zongren Zhao, Yu Liu, Huanhuan Ji

“…Finally, subgroup analysis identified several factors that significantly influenced trajectory classification and associated risks, including age, gender, presence of comorbidities such as diabetes, higher GCS scores and higher BMI values. …”
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Global Burden, Trends, and Inequalities of <i>Clostridioides difficile</i> Infections from 1990 to 2021 and Projections to 2040: A Systematic Analysis by Zhihui Chen, Jing Wu, Xiangru Ye, Jialin Jin, Wenhong Zhang

“…CDI-related mortality and disability-adjusted life years (DALYs) were analyzed from 1990 to 2021. Joinpoint regression assessed the trends, a decomposition analysis identified the contributing factors, and cross-country inequalities were measured with slope and concentration indices. …”
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Molecular and clinical insights into HIV-associated and HIV-negative aggressive B-cell lymphomas: prognostic quantitative biomarker analysis and therapeutic implications by Liming Liu, Tianwa Wang, Jiping Luo, Jianrong Huang, Kaipeng Huang, Kun Chen, Kun Chen, Chao Wang, Zhiqiang Cheng

“…Independent prognostic factors were identified using multivariate Cox regression analysis, and a survival prediction model was validated by receiver operating characteristic (ROC) curve analysis.ResultsHALs exhibited significantly higher proliferative activity (Ki67 AOD: 0.92 vs. 0.82, P &lt; 0.001), more advanced disease stages (Ann Arbor stage III/IV: 77.2% vs. 60.0%, P = 0.022), and increased Epstein–Barr virus (EBV) positivity (51.1% vs. 17.9%, P &lt; 0.001). …”
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