Clinical value of inflammatory indices in predicting poor prognosis and post-hemorrhagic hydrocephalus in patients with intraventricular hemorrhage by Haoxiang Wang, Yuanyou Li, Feng Ye, Ziang Deng, Keru Huang, Gaowei Li, Yaxing Chen, Yi Liu, Liangxue Zhou

“…Results Among the 145 patients included in the analysis, 102 eventually developed adverse outcomes. …”
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Dyslipidemia and cerebral atrophy among health check-up individuals: A cross-sectional study by Xiaoying He, Jingyi Xiao, Yan Wang, Christopher Reid, Dan Xu, Hua Hong

“…Among 1,661 participants, 121 (7.28%) had cerebral atrophy. On multivariate analysis, TC and LDL-C were not associated with cerebral atrophy, although TC and LDL-C were lower in the subgroup with cerebral atrophy. …”
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Association of Transcranial Doppler Microembolic Signal With Short‐Term Mortality in Acute Ischemic Stroke and Active Cancer by Sono Toi, Eiko Higuchi, Megumi Hosoya, Satoko Arai, Kentaro Ishizuka, Takafumi Mizuno, Takao Hoshino, Yukiko Tsutsumi, Kazuo Kitagawa

“…On Cox multivariate analysis, using the MES‐negative group as a reference, the presence of MES was significantly associated with all‐cause death (adjusted hazard ratio, 12.19 [95% CI, 1.45–216.85]; P=0.020). …”
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A study of etiology and asthma risks in infants and toddlers hospitalized for recurrent or persistent wheezing by Qiuwei Yi, Shanshan Liu, Jingjing Qiao, Yulan Chen, Lu Huang, Yuejie Zheng, Yanmin Bao, Kunling Shen

“…Multivariate logistic regression analysis was used to identify risk factors for asthma.ResultsThe etiologies of recurrent and persistent wheezing significantly differed (P < 0.05). …”
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Pre-Treatment and Pre-Brachytherapy MRI first-order Radiomic Features by a Commercial software as survival predictors in radiotherapy for cervical cancer Objectives by Wiwatchai Sittiwong, Pittaya Dankulchai, Pitchayut Wongsuwan, Tissana Prasartseree, Wajana Thaweerat, Nerisa Thornsri, Pongpop Tuntapakul

“…Radiomic values from pre-treatment (PreRx), pre-brachytherapy (PreBT), differences between PreRx and PreBT (Diff) radiomic and clinical factors were analyzed using univariate and multivariate Cox regression analysis. Predictive models of PFS, LRFS, DMFS, and OS were created along with the optimism index and calibration plot. …”
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Study for Predicting Land Surface Temperature (LST) Using Landsat Data: A Comparison of Four Algorithms by Elhadi K. Mustafa, Yungang Co, Guoxiang Liu, Mosbeh R. Kaloop, Ashraf A. Beshr, Fawzi Zarzoura, Mohammed Sadek

“…The topographic change is considered in this study to accurately predict LST; furthermore, Landsat 4/5 TM and Landsat 8OLI_TIRS images for four years (1995, 2004, 2010, and 2015) are used to study the LST changes of the research area. …”
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Integrating angio-IMR and CMR-assessed microvascular obstruction for improved risk stratification of STEMI patients by Yang Duan, Qianran Yin, Yinshuang Yang, Hao Miao, Shuguang Han, Qiuming Chi, Haomin Lv, Yuan Lu, Yafeng Zhou

“…Specifically, 103 patients had caIMR ≤ 40 U without MVO, while 88 patients showed caIMR > 40 U with MVO. Multivariate analysis identified both caIMR > 40 U and MVO as independent predictors of MACEs, with an HR of 3.572 for each unit increase in CPFD-caIMR > 40 U. …”
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Eye signs as a novel risk predictor in pulmonary arterial hypertension associated with systemic lupus erythematosus by Jianbin Li, Jiangbiao Xiong, Pengcheng Liu, Yilin Peng, Shuang Cai, Xia Fang, Shujiao Yu, Jun Zhao, Rui Wu

“…The nonimproved group exhibited significantly lower vessel density (VD) and microvascular flow index (MFI) of conjunctival microvascular images than the improved group. Correlation analysis revealed that VD displayed a negative correlation with the WHO-FC (r = −0.413, p = 0.026) and NT-proBNP (r = −0.472, p = 0.010), as well as a positive correlation with the 6MWD (r = 0.561, p = 0.002). …”
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Estimating liver cirrhosis severity with extracellular volume fraction by spectral CT by Hong Zhang, Ee Hao, Dongqin Xia, Mingyue Ma, Jiayu Wu, Tongchi Liu, Ming Gao, Xiaoping Wu

“…Furthermore, a correlation analysis was performed to assess the relationship between ECV values and Child-Pugh scores in liver cirrhosis. …”
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Impact of neurology staff’s adherence to management guidelines on seizure freedom in epilepsy patients by Rodolfo Cesar Callejas-Rojas, Héctor Gerardo Hernández-Rodríguez, Ildefonso Rodriguez-Leyva

“…Data were collected on demographic characteristics, seizure types, diagnostic workup completeness, treatment regimens, weight-adjusted dosing, self-reported adherence, and seizure freedom (defined as being seizure-free for at least 3 months). Statistical analysis included chi-squared tests (χ2) for categorical variables and multivariate logistic regression to identify independent predictors of seizure freedom. …”
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Efficacy of focused ultrasound ablation surgery in patients with adenomyosis and coexisting pelvic adhesions by Jinfeng Lin, Zhiyun Yang, Lu Wang, Zhibo Xiao, Tao Tan, Jinyun Chen

“…Additionally, patients with severe adhesion demonstrated a lower ratio of non-perfused volume ratio (NPVR) (38.81% vs. 46.58%, p = 0.009). Multivariate binary logistic regression analysis revealed that pelvic adhesion independently increased the risk of dysmenorrhea (OR = 4.730, 95%CI: 2.026–11.044, p < 0.001), while severe pelvic adhesion was identified as an independent risk factor for NPVR (OR = 2.226, 95%CI: 1.181–4.196, p = 0.013).Conclusion The preoperative assessment of pelvic adhesions plays a crucial role in predicting intraoperative adverse events of FUAS in patients with adenomyosis, as well as determining both short-term and long-term efficacy, thereby providing valuable guidance for the development of comprehensive treatment.…”
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Application of the modified computed tomography severity index and retroperitoneal extension classification for evaluation of acute pancreatitis by Cam Nhung Dang, Anh Tuan Nguyen, Thanh Thao Nguyen, Trong Binh Le

“…MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149-6.437; P = 0.023). …”
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Proximal Single Subcortical Infarction, Left Ventricular Fractional Shortening, and Risk Prediction Model Development for Neurological Deterioration in Patients With Anterior Circu... by Yunhe Luo, Xin Gu, Wenjie Cao, Qiang Dong

“…Clinical data, magnetic resonance imaging infarct characteristics, and echocardiographic indices were analyzed using a multivariable logistic regression model to identify independent ND predictors. …”
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Evaluating of the accurasy of cardiovascular events predicting using SCORE scale and ultrasound visualization of atherosclerotic plaque in patients of multi-disciplinary hospital i... by L. L. Bershtein, A. E. Golovina, N. O. Katamadze, E. V. Bondareva, S. A. Saiganov

“…The actual frequency of development of the cumulative endpoint was significantly higher than the calculated rate (the ratio of actua predicted events was 1,6, 5,1 and 79 for high, moderate and low SCORE risk, respectively). According to the multivariate regression analysis, the OR for AP as a predictor of cardiovascular events cardiovascular events CVE was 2,54 (95% CI 1,6-4,04), and was significantly higher than the SCORE index (1,04, 95% CI 0,01-1,07). …”
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Treatment Outcome of Brain Metastases from Breast Cancer Following Gamma Knife Radiosurgery: A Retrospective Study in Vietnam by Huyen Thi Phung MD, PhD, Yen Thi Le MD, PhD, Tung Van Nguyen MD, MSc, Giang Tien Dang MD, MSc, Quang Hong Nguyen MD, MSc, Duong Thanh Phan MD, MSc, Hoa Thi Nguyen MD, MSc, Long Thanh Nguyen MD, MSc

“…The median overall survival (OS) was 17.2 months (range: 13.7-20.7 months). Multivariate analysis revealed that the total volume of metastatic lesions ≤7.0 cm 3 , hormone receptor negativity, ≤ 3 lines of systemic treatment before brain metastasis and controlled extracranial metastases were correlated with both BSPFS and OS. …”
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Impact of COVID-19 pandemic on acute stroke care in a tertiary stroke centre by Máté Héja, István Fekete, Sándor Márton, László Horváth, Klára Fekete

“…We recorded demographic and clinical data, imaging parameters, functional outcome and mortality at one year. …”
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Postoperative human epididymis protein 4 predicts primary therapy outcome in advanced epithelial ovarian cancer by Tuulia Vallius, Johanna Hynninen, Annika Auranen, Jaakko Matomäki, Sinikka Oksa, Pia Roering, Seija Grènman

“…The postoperative CA125 was associated to PFS after IDS (n = 26, p = 0.006), but not after PDS. In multivariate analysis with FIGO stage (III/IV), residual tumor (0/>0) and postoperative CA125, the postoperative HE4 was the only statistically significant prognostic variable predicting PFS. …”
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Higher albumin levels on admission predict better prognosis in patients with confirmed COVID-19. by Matthew Kheir, Farah Saleem, Christy Wang, Amardeep Mann, Jimmy Chua

“…The outcomes recorded included the following: venous thromboembolism (VTE), acute respiratory distress syndrome (ARDS), intensive care unit (ICU) admission, discharge with new or higher home oxygen supplementation, readmission within 90 days, in-hospital mortality, and total adverse events. A multivariate modified Poisson regression analysis was then performed to determine significant predictors for increased adverse events in patients with COVID-19 pneumonia.…”
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Clinical implications and prognostic value of mastoid effusion in the management of aneurysmal subarachnoid hemorrhage by Junhyung Kim, Sohyun Kim, Chang Ki Jang, Hyun Jin Han, Keun Young Park, Jung-Jae Kim, Yong Bae Kim, Jiwoong Oh

“…ME was observed in 40 patients (34.5%) within the first 14 days, occurring at a mean of 5.0 ± 3.5 days after the onset of SAH. In multivariate analysis, patients with ME were found to have a higher incidence of tracheostomy (odds ratio [OR] 10.034, p = 0.024), radiologic vasospasm (OR 4.987, p = 0.018), a higher APACHE II score (OR 1.138, p = 0.013), and poor clinical outcomes (OR 4.289, p = 0.041), defined as modified Rankin Scale score &gt; 2 at 90 days. …”
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Correlation between Helicobacter pylori infection and atherosclerosis in a physical examination population and its influencing factors by Lei Han, Ruijuan Gu, Hatira Jingsihan, Yushan Wang, Alina Abulaiti, Linnan Qu

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