Evaluation of Factors Associated with Fatality in Hospitalized Patients with Clostridioides difficile Infection by Sinan Çetin

“…Demographic and clinical data were compared between the two groups. The risk factors for 30 day fatality were analyzed through logistic regression and Kaplan-Meier (KM) survival analysis. …”
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The risk factors of multiple organ dysfunction syndrome caused by bee stings by WEI Jiong, HE Min, HU Ai-qiong, LIU Xin-jun

“…General situation,the occurrence of MODS and auxiliary examination results in two groups were comparatively analyzed and the risk factors of MODS caused by bee sting injury were analyzed by Multi factor Logistic regression method. …”
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The Relationship of Clinical and Laboratory Factors with Acute Isolated Vertigo and Cerebellar Infarction by Cihan Bedel, Mustafa Korkut

“…The multivariate logistic regression analysis revealed that hyperlipidemia (odds ratio [OR] = 3.233; 95% confidence interval [CI] = 1.144–9.136; P = 0.027) and imbalance (OR = 4.064; 95% CI = 1.271–12.995; P = 0.018) were the strongest indicators of cerebellar infarction in the patients with isolated vertigo. …”
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Risk factors for bleeding complications of percutaneous renal biopsy of native kidneys by 李思倩, 孙婧, 蒋栋, 于光, 郭志勇, 边琪

“…Objective To retrospectively analyze the incidence of and risk factors for bleeding complications after percutaneous renal biopsy(PRB)of native kidneys.Methods The patients undergoing native PRB in Changhai Hospital of Naval Medical University(Second Military Medical University)from January 2017 to December 2018 were enrolled.Complete clinical and pathological data were collected.Blood routine and renal ultrasonography were conducted after PRB.Based on post-operative occurrence of bleeding complications in patients,the enrolled patients were divided into non-bleeding group(NBG),mild bleeding group(MBG,defined as the summation of the long and short diameter less than 5 cm as well as the hemoglobin decrease less than 10% after PRB)and moderate to severe bleeding group(SBG,defined as gross hematuria,and/or hemoglobin decrease no less than 10%,and/or the summation of the long and short diameters no less than 5 cm and/or the need for transfusion/interventional therapy/surgery/death).The differences of clinical and pathological indices between the groups were compared.The risk factors of bleeding complications were analyzed by logistic regression model.Results A total of 357 patients were included in the study.The average age of patients was 47(34.0,61.0)and 51.2%(183 patients)of the patients were male.Among the patients,23 patients(6.4%)were complicated with acute kidney injury and 157 patients(44.0%)were complicated with hypertension.Overall,the rate of bleeding complications was 58.5%(209 patients),of which 105 patients(29.4%)developed severe bleeding complications,3 patients(0.84%)required transfusion and/or surgery intervention.Discharge time after PRB was not significantly different between NBG and MBG,suggesting that mild bleeding has no adverse effect on patients’ short-term prognosis.Compared to the NBG,Patients in the SBG had lower levels of BMI,lower serum albumin,higher 24-hour urine protein,higher D-Dimer levels,higher rates of nephritic syndrome,longer hospital stay,higher serum urea nitrogen and higher estimated glomerular filtration rate(all P<0.05).After multivariable logistic regression analysis of related factors utilizing forward screen method,it was found that,BMI(OR=0.883,P<0.05),24-hour urine protein(OR=1.124,P<0.05),serum urea nitrogen(OR=1.078,P<0.05),D-Dimer levels(OR=1.204,P<0.05)and the long diameter of the kidney(OR=0.683,P<0.05)were independent risk factors for severe bleeding complications after PRB.Conclusions Post-biopsy bleeding complications aren’t uncommon in patients with native PRB,but severe complications requiring transfusion or interventional therapy are rare.The patients with lower BMI,higher 24-hour urine protein,higher blood urea nitrogen,higher D-dimer levels and decreased kidney’s long diameter have higher bleeding risks,who should be monitored more carefully.…”
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Factors Associated With the 30-day Readmission Rate in Patients With Heart Failure by Fereshteh Rezvani, Zahra Abbasi Dolatabadi, Maryam Esmaeili, Saman Maroufizadeh, Mohammad Garakyaraghi, Monir Mazaheri

“…The information was collected using a researcher-made form that surveyed sociodemographic characteristics, clinical characteristics, common drug treatments and discharge conditions. The data were analyzed using inferential statistics, including t-test, chi-square test/Fisher’s exact test and multiple logistic regression analysis. …”
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PREDISPOSING FACTORS OF ATRIAL FIBRILLATION IN PATIENTS AFTER ANATOMIC LUNG RESECTION by V. A. Zhikharev, V. A. Porkhanov, A. S. Bushuev, I. Yu. Sholin, V. A. Koryachkin

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Spatiotemporal dynamics and influencing factors of soil heterotrophic respiration in northeast China. by Dan Liu, Cheng Long Yu, Rui Feng, Shi Ping Yin

“…Using meteorological data, DEM, soil organic carbon density, and other data, we simulated the Rh in Northeast China from 2001 to 2020 using the GSMSR model. We then analyzed its spatialtemporal distribution pattern and examined its spatial-temporal aggregation, differentiation characteristics, and influencing factors at the national level, employing methods such as standard deviation ellipse (a statistical method that describes the spread and direction of data points in space), cold-hot spot analysis, and geographically weighted regression. …”
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Sociopsychological factors influencing Brazilian farmers' intention to regularize their cheese production by A.C.V. Plefh, F.I. Bánkuti, J.C. Damasceno, G.T. dos Santos

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Factors Related to Fatigue among Chronic Kidney Disease Patients on Hemodialysis by Fitri Mailani, Arif Rohman Mansur, Aisyah Rifdatunnisa, Chong Mei Chan

“…T-tests and ANOVA were used to examine differences in fatigue levels across groups, while Spearman correlation and multiple linear regression were employed to analyze associations between fatigue and clinical variables. …”
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Evaluation and risk factors of arterial stiffness in patients given peritoneal dialysis by SU Xiao-yan, DING Su, ZHENG Wei-ping, ZOU Yuan-fang, LI Ai-ting, DENG Hui-zhao, HUANG Hui

“…Objective To evaluate and analyze risk factors of arterial stiffness in patients given peritoneal dialysis.Methods A total of 86 patients with end-stage kidney disease undergoing peritoneal dialysis,19-60 years old,without diabetes mellitus were enrolled.Baseline characteristics,brachial-ankle pulse wave velocity（baPWV） and other laboratory measurements were collected and analyzed.BaPWV was determined using an automated,non-invasive,waveform analysis device.Results According to baPWV,the patients were divided into high baPWV group（baPWV>1 400 cm/s,n =39） and normal baPWV group（baPWV<1 400 cm/s,n = 47）.As compared with CAPD patients with normal levels of baPWV,the CAPD patients with high levels of baPWV had significantly higher baPWV[（1 961 ±412） cm/s vs.（1 349 + 234） cm/s,P<0.01],longer dialysis duration,higher ischemia modified albumin[IMA,（95.8 ± 6.0） kU/L],and higher sensitivity C-reactive protein[hsCRP,（5.1±1.0）mg/L].In addition,the high baPWV CAPD patients also had a lower level of total urea clearance index（Kt/V,1.8±0.9）,total creatinine clearance[（56.5±11.4）L·W^-1·（1.73m²）^-1],residual GFR[rGFR,（3.8±1.0）L·W^-1·（1.73 m²）^-1],and serum albumin[（31.6±5.3）g/L].The correlation analysis showed that baPWV was significantly correlated with dialysis duration,serum calcium,IMA and hs-CRP,and negatively with total Kt/V,rGFR and serum albumin（P<0.05）.Logistic regression analysis revealed that dialysis duration,rGFR and hs-CRP were the most significant factors affecting baPWV in PD patients.Conclusions Arterial stiffness,assessed by baPWV,had an independent correlation with dialysis duration,residual renal function,microinflammation in young and middle-aged non-diabetic patients undergoing peritoneal dialysis.To protect the residual renal function,improve the inflammatory state,and improve the adequacy of peritoneal dialysis can reduce the risk of atherosclerosis in patients with peritoneal dialysis,and reduce the incidence of cardiovascular events.…”
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Prognostic Factors for Postoperative Visual Acuity in Patients with Rhinogenic Optic Neuropathy by Mitsuya Otsuka, Tatsuya Yunoki, Hironori Ozaki, Hirohiko Tachino, Hiromasa Takakura, Hideo Shojaku, Atsushi Hayashi

“…Patients in the improvement group were significantly younger than those in the nonimprovement group (p=0.01). In univariate regression analysis, preoperative visual acuity and type of optic neuropathy significantly related to postoperative visual acuity. …”
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Risk Factors for Prolonged Hospitalization in Pediatric Appendicitis Patients with Medical Treatment by Ching-Lun Chen, Hsun-Chin Chao, Man-Shan Kong, Shih-Yen Chen

“…Patient demographics, clinical symptoms, duration of symptoms, laboratory findings, imaging findings, complications, and length of hospital stay were analyzed. Logistic regression analysis was used to identify significant predictors of prolonged hospitalization (≥15 days) and readmission. …”
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Frequent peritoneal dialysis-related peritonitis:clinical characteristics and risk factors by XU Li, WANG Yan, FANG Yuan, ZHAO Chen, CHU Zhao-xia, REN Wei

“…Objective To identify the clinical characteristics and factors of frequent peritoneal dialysis(PD)-related peritonitis.Methods A retrospective study was conducted on patients undergoing continuous ambulatory peritoneal dialysis following PD catheterization from January 2007 to December 2014 in Anhui Province Hospital The frequent PD-related peritonitis was defined by two or more onsets in one year,and the patients with only one onset served as the control group.The clinical and laboratory data of the two groups were compared and the risk factors of frequent PD-related peritonitis were analyzed.Results There were 13 cases with infectious peritonitis of 30 cases/times in frequent group,and 57 cases with infectious peritonitis of 57 cases/times in the control group.As compared with those in the control group,the patients with frequent peritonitis had higher significantly blood pressure(P = 0.042) and body mass index(BMI)(P = 0.009),but lower hemoglobin(P =0.007) and plasma albumin(P = 0.003),with higher intact parathyroid hormone(P<0.05),gramnegative bacteria(33.33%) and fungal infection rates(10.00%),of which the increasing trend of gram-negative bacteria was more obvious(P = 0.035).Moreover,the patients without timely treatment[7 cases(53.85%) vs.13 cases(22.81%),P<0.05]and adequate anti-infection course[5 cases(38.46%) vs. 8 cases(14.04%),P<0.05]increased.No differences were found between the two group in age,gender,dialysis age,education,inducing factors of peritonitis,mortality,residual renal function,peripheral blood leukocytes,calcium,phosphorus,C-reactive protein,total cholesterol,triglycerides,leukocyte count of peritoneal fluid for the first time.Logistic regression analysis identified an increased likelihood of frequent PD-related peritonitis with high BMI,severe hypertension,low hemoglobin and low serum albumin.Conclusions Malnutrition,high BMI,and severe hypertension are risk factors of frequent PD-related peritonitis.Measures to improve anemia and hypoproteinemia,control blood pressure and maintain standard weight,and positive and regular treatment of peritoneal endogenous infection may contribute to the prevention and control of the frequent PD-related peritonitis.…”
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Kawashima procedure in single ventricle palliation: the factors affecting clinical outcomes by Hüseyin Sicim, Arash A. Sabati, Daniel A. Velez, Mohamad Alaeddine

“…Patients who underwent Kawashima procedure were analyzed for weight, height, and age as factors that may affect outcomes such as hospital stay, complications, and mortality. …”
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A 10-year longitudinal analysis of the impact of demographic, lifestyle, and medical factors on semen qualities in men in a city in the midwestern region of the United States of Am... by Malik Scott, Anaelena Rodriguez, Orry Marciano, Rachel Nordgren, Scott D Lundy, Omer A Raheem

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Factors Influencing The Disclosure Of Islamic Social Reporting In Islamic Commercial Banks by Euis Sahara, Ibram Pinondang Dalimunthe

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Determinant Factors Of Electric Bicycle Purchase Decisions: Evidence From Indonesia by Sulismawati Sulismawati, Ida Nuryana

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Cognitive Disorders Awareness and Associated Risk Factors in Xizang Autonomous Region by HAO Yu, WANG Junshan, ZHUO Ma, SUOLANG Quzhen, JI Shiyong, HU Yaxiong, DING Zhijie, CIDAN Zhuoga, YUAN Jing, ZHAO Yuhua

“…Demographic information and data on awareness of cognitive disorders were collected, and an ordered Logistic regression model was used to analyze influencing factors in the overall population and stratified by occupation.ResultsA total of 327 questionnaires were collected, with 14 excluded (13 for not meeting residency requirements and 1 for self-reported diagnosis of cognitive impairment), leaving 313 valid questionnaires. …”
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The Factors Influence the Biosecurity Management of Swine Farm in Mekong Delta, Vietnam by Nguyen Thi Anh Thu, Budi Guntoro

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Risk Factors for Gout in Taiwan Biobank: A Machine Learning Approach by Liu YR, Nfor ON, Zhong JH, Lin CY, Liaw YP

“…Five machine learning models were used: Bayesian Network (BN), Random Forest (RF), Gradient Boosting (GB), Logistic Regression (LR), and Neural Network (NN). The predictive performance was evaluated using a split dataset (80% training set and 20% test set).Results: Variable importance analysis was performed to identify key variables, with uric acid and gender emerging as the most influential risk factors. …”
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