Comprehensive Characterization and Comparison of Aroma Profiles of <i>Tricholoma matsutake</i> Soup During the Cooking Process by HS-GC-IMS and HS-SPME-GC-MS by Ni-Na Yan, Cheng-Jian Xu, Shuang-Li Xiong, Xiang Li, Si-Yu Gu, Zhong-Yan Zhu, Yang Liu, Nan Zhu, Yu Zhou, Hang Xiao

“…Based on the relative odor activity value (ROAV) and multivariate statistical analysis, 1-octen-3-ol, 1-octanol, methyl cinnamate, and 2-pentyl furan were determined to be the key aroma compounds in the cooking process. …”
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Diastology and MitraClip^® Outcomes: Multicenter Real-World Evidence Study by Vivek Joseph Varughese, Chandler Richardson, James Pollock, Patryk Czyzewski, Hata Mujadzic, Michael Cryer

“…The aim of our study is to analyze the association between the pre-procedural echocardiographic parameters of diastolic function (DF) and one-year outcomes after MC placement. …”
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A quantitative geospatial analysis of the risk that Boko Haram will target a school. by Lirika Sola, Youdinghuan Chen, V S Subrahmanian

“…Fourth, we use these decision trees to formulate multivariate hypotheses that we investigate further from a statistical perspective. …”
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Correlation study of CAR, PLR, NLR with the prognosis of cardiogenic cerebral embolism patients by Xiaojing Du, Xiaohui Li, Sheng Yue, Yuzhen Sun, Mengzhen Zhao, Lingshan Zhou, Xingwei Wang, Yapan Yang

“…The CAR, PLR, and NLR values were calculated from routine blood tests, and statistical analyses, including Spearman correlation, multivariate logistic regression, and ROC curve analysis, were performed to examine their prognostic significance. …”
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A Lymphocyte Subset-Based Prediction Model for Refractory Community-Acquired Pneumonia in Immunocompetent Patients by Jingyuan Zhang, Xinyu Hu, Ailifeila Aili, Lei Pan, Xinying Xue, Xiaolan Chen

“…The differences between the two groups (clinical characteristics, peripheral blood cell count, lymphocyte subsets, and regular laboratory indicators) were analyzed using paired <i>t</i>, paired Wilcoxon, Chi-square, or Fisher’s exact tests, and univariate and multivariate logistics regression analyses were conducted to identify the independent risk factors. …”
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Long-term growth and risk factors for crankshaft phenomenon following posterior hemivertebra resection with mono-segment fusion in congenital early-onset scoliosis by Zhiming Peng, Yiwei Zhao, You Du, Haoran Zhang, Shengru Wang, Jianguo Zhang

“…The crankshaft phenomenon was defined as a progression of ≥ 10° in either the Cobb angle or the rib–vertebra angle difference (RVAD). Statistical comparisons employed Welch’s t‑test and Fisher’s exact test, while multivariate logistic regression evaluated potential risk factors. …”
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Exploring the clinical value of regional nodal irradiation in sentinel lymph node positive breast cancer patients omitting axillary dissection by Yongjin Lu, Zhiqiang Shi, Qiuchen Zhao, Zhao Bi, Xiao Sun, Chunjian Wang, Ruijie Jia, Junsheng Zheng, Jing Sun, Yongsheng Wang, Pengfei Qiu

“…Although RNI did not reach statistical significance in univariate analysis, it exhibited a significant protective effect after multivariate adjustment (P = 0.024). …”
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Correlation Between the Use of Vesicant Medications and The Incidence of Phlebitis in Pediatric Ward by Lily Annisa, Suci Hanifah, Putri Setiani

“…The data obtained were then analyzed for correlations by using bivariate and multivariate analysis. …”
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Analysis on related risk factors for cardiocerebral vascular diseases in patients with diabetic kidney disease by ZHANG Zhi-xu, GAO Ai-qing, RAO Xiao-pang

“…Objective To investigate the epidemiology and related risk factors for cardiocerebral vascular diseases in patients with diabetic kidney diseases（DKD）.Methods A total of 800 patients with DKD hospitalized in Chengyang District People’s Hospital of Qingdao from January 2016 to December 2017 were enrolled in this study.Based on complications of cardiocerebral vascular diseases, the patients were divided into the cardiocerebral vascular disease group（n=558） and group without cardiocerebral vascular diseases（n=242）.The general information,including gender,age,body mass,height,systolic blood pressure（SBP）, diastolic blood pressure（DBP）,drinking history and smoking history, and laboratory test indicators, including fasting blood glucose（FBG）, glycosylated hemoglobin（HbA1 C）, liver and kidney functions, total cholesterol（TCH）, triglyceride（TG）, low density lipoprotein cholesterol（LDL-C）, high density lipoprotein cholesterol（HDL-C）, Lipoprotein A（Apoa）,parathyroid hormone（PTH）, C-reactive protein（CRP）, hemoglobin（Hb）, white blood cells（WBC）, brain natriuretic peptide（BNP）, urinary microalbumin/urinary creatinine ratio（UACR） and serum β₂-microglobulin（β₂-MG）were detected. Multivariate Logistic regression analysis was used to analyze the risk factors in diabetic kidney disease patients with cardiocerebral vascular diseases.Results Among the 800 patients with diabetic kidney disease,558 ones had cardiocerebral vascular complications（69.75%）, with the incidences of coronary artery disease（CAD）,left ventricular hypertrophy（LVH）,congestive heart failure（CHF）,cerebral vascular accident（CVA）and large atherosclerosis（LA）of 12.50%（100/800）, 4.13%（33/800）, 4.37%（35/800）, 13.75%（110/800）and,35.00%（280/256）,respectively.The incidences of the above five cardiocerebral vascular complications of DKD patients with chronic kidney disease（CKD） stage I to V were 2.50%（20/800）, 3.75%（30/800）, 12.50%（100/800）, 17.5%（140/800） and 33.5%（268/800）, respectively.The differences of the incidences of the above five cardiocerebral vascular complications between DKD patients with difference CKD stages had statistical significance（χ²=14.138,P=0.001）.There were differences of statistical significance（P<0. 05） of age, body mass index（BMI）, SBP, drinking rate, smoking rate, HbA1 C, Scr, SUA, TC, LDL-C, UACR, Apoa, PTH and β₂-MG between the two groups. …”
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Research on Influencing Factors of Effective Gas Extraction Radius in Coal Mine Based on Multiple Linear Regression by Yuqi Shang, Guiyi Wu, Dezhong Kong, Yang Wang, Fei Li

“…The simulation software is used to calculate the effective extraction radius corresponding to different influencing factors. SPSS statistical software is used to analyze the parameters. …”
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Efficacy and safety of intravitreal anti-VEGF for myopic choroidal neovascularization by Jing-Yao Liu, Ju-Ping Liu, Xiao-Rong Li

“…The mean CMT from 1mo onwards had a statistically significant decrease compared with baseline CMT (P<0.05). …”
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Combined CT-based extracellular volume with pathologic indicators predicts early postoperative recurrence of gastric mesenchymal tumors by LU Hong, LU Hong, LI Haitao, CAI Ping

“…According to the postoperative recurrence within 24 months after surgery, they were divided into early recurrence group and non early recurrence group. Statistical indexes: ① Consistency analysis. ② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted. …”
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Significance of serum IgA/C3 ratio in the diagnosis and prognosis of IgA nephropathy by XIE Wei-ji, HONG Gui-tian, XUE Qian, LIN Zhi-jun, XIE Yi, XU Xiao-chang, ZHANG Yi-min

“…The differences of the serum IgA/C3 ratio between IgAN and other related glomerular diseases and the IgA/C3 changes before and after treatment were analyzed. Results(1)The serum IgA/C3 ratio for IgAN,primary non-IgANand LN were 3.0±1.3, 1.9±0.8 and 6.9±4.9,respectively, with statistical significance of the differences of IgAN vs primary non-IgAN(P<0.01)and vs LN(P<0.01).(2) The serum IgA/C3 ratios for the primary non-IgAN subgroups minimal change nephritis(MCD), membranous nephropathy(MN) and focal segmental glomerulosclerosis(FSGS) were 1.9±0.8,1.9 ± 0.8 and 2.1±0.5,respectively.There was statistically significant difference of IgAN vs MCD(P<0.01), vs MN(P<0.01) and vs FSGS IgAN(P<0.01).(3)By multivariate regression analysis, IgA/C3 ratio(OR=2.509,95%CI 1.196～5.262,P=0.015) could be regard as an important risk factor for patients to suffer IgA Ninthe primary glomerular disease group.(4) The serum IgA/C3 ratio sexhibited statistically significant difference of IgAN + dialysis vs non-IgAN +dialysis[(3.7±1.8 vs(1.8±0.6),P=0.011] and vs non-IgAN + non-dialysis[(3.7±1.8) vs(1.9±0.8),P=0.005].(5) In the ROC curve diagnosis for IgAN and primary non-IgAN diseases, the cut point of the serum IgA/C3 ratio was equal to or greater than 2.106 or greater with the area under the curve of 0.775(P<0.01), which assisted to distinguish IgAN with other primary glomerular disease.(6) Among 43 IgAN patients who were followed up, 37 ones acquired remission in proteinuria 24 hours after treatment.The serum IgA/C3 ratios before treatment(with proteinuria remission) and after treatment(without proteinuria remission) were(3.1±1.1) vs(2.3±0.9),with difference of statistical significance(t=3.506,P=0.001).Conclusions Theserum IgA/C3 ratio is of significance in the diagnosis and differential diagnosis of IgAN among primary glomerular diseases, and the decrease of the ratio maybe a positive factor for prognosis of IgAN.…”
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Oxygenation and intestinal perfusion and its association with perturbations of the early life gut microbiota composition of children with congenital heart disease by Hanna Renk, Hanna Renk, Hanna Renk, Ulrich Schoppmeier, Jennifer Müller, Vanessa Kuger, Felix Neunhoeffer, Christian Gille, Silke Peter, Silke Peter

“…Only little is known about composition and dynamics of the intestinal microbiota in infants with congenital heart disease (CHD) and potential influencing factors.MethodsWe evaluated the intestinal microbial composition of neonates with CHD (n = 13) compared to healthy controls (HC, n = 30). Fecal samples were analyzed by shotgun metagenomics. Different approaches of statistical modeling were applied to assess the impact of influencing factors on variation in species composition. …”
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Impact of preoperative fasting duration and prostate mass on postoperative bleeding after transurethral enucleation of the prostate: A risk factor analysis by Zihui Gao, Jiazhao Cui, Chunji Wang

“…Objective This study explored the impact of preoperative fasting duration on patients who underwent transurethral enucleation of the prostate and analyzed the risk factors for postoperative bleeding. …”
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Association between the Weight-Adjusted Waist Index and Serum Uric Acid: A Cross-Sectional Study by Huan Li, Guowei Fang, Chengcheng Huang, Wenrong An, Xiaohan Bai, Yanqin Huang

“…At the same time, subgroup analysis was carried out by using multivariate logistic regression according to age, sex, and race. …”
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Construction and validation of a nomogram prediction model for antiviral efficacy based on clinical characteristics and intestinal microflora distribution in patients with chronic... by Hongjie Wu, Mingqiang Yue, Tianbao Wang, Xiaoxia Wei, Yanping Wang, Changyun Si

“…In the training set, multivariate logistic regression was used to analyze the risk factors for the failure of antiviral therapy and the nomogram prediction model was constructed. …”
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Sharp injuries to blood-borne pathogens among healthcare workers and influencing factors in a tertiary specialist hospital (2019–2022): a retrospective study by Yuanyi Ji, Xiaoling Liu, Guishuang Song, Qiaolan Liu, Ruixin He, Yongzhong Cheng

“…A retrospective study was conducted using occupational exposure data from 2019 to 2022. Descriptive statistics, univariate analysis, and multivariate logistic regression were used for statistical analysis, focusing on factors such as gender, years of service, occupation, and exposure department. …”
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Pan-cancer analysis reveals PRRT4 is a potential prognostic factor of AML by Wenqiong Xiang, Fangjun Chen, Hao Zhou, Guilin Ren, Guangliang Qiang, Li Wang

“…In addition, we have further analyzed the data using multivariate analyzes and RT-qPCR. …”
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Investigating the effectiveness of education based on the social-emotional competence model on the sense of belonging to school and academic adjustment of elementary school boys by Hafez Padervand, Ezatollah Ghadampiur, Fazlolah Mirderikvand

“…The tools used in the current research were the school belongingness questionnaire by Berry and Betty (2005) and the academic adjustment questionnaire by Baker and Seriak (1984). In order to analyze the data, univariate and multivariate analysis of covariance (MANCOVA) was used. …”
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