The risk factors of acute kidney injury and perioperative management after esophagus cancer surgery by MA Hu-sai, CAI Yi-xin, ZHANG Ni, FU Xiang-ning

“…Objective To explore the risk factors and clinical significance of acute kidney injury(AKI),and perioperative management after resection of esophageal carcinoma.Methods A retrospective analysis was performed on 397 cases of AKI after esophageal cancer operation,and AKI-related factors were analyzed.Results In 397 cases undergoing esophageal cancer surgery,AKI occurred 25 cases,including 15 cases of stage I,4 cases of stage Ⅱ,and 6 cases of stage Ⅲ,with the total prevalence rate being 6.3%.Twenty-one cases were discharged from the hospital(84%),and there were 4deaths(16%).Comparison of related factors of AKI and non-AKI:There was no significant difference in age,coronary heart disease,chronic obstructive pulmonary disease,preoperative SCr,preoperative chemotherapy,number of removed lymph nodes,intraoperative blood loss,operation time and.postoperative ventilator time between AKI and non-AKI(P>0.05).There were significant differences in hypertension,diabetes mellitus,postoperative lung infection and non-kidney organ failure between AKI and non-AKI(P<0.05).Logistic multivariate regression analysis showed hypertension,diabetes mellitus,postoperative lung infection and non-kidney organ failure were independent risk factors associated with AKI after resection of esophageal carcinoma.Conclusions AKI is common complications and easy to be ignored after resection of esophageal carcinoma.Attention should be paid to the common causes of AKI,and the perioperative management should be strengthened for the presence of AKI risk factors.…”
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The Interannual Cyclicity of Precipitation in Xinjiang During the Past 70 Years and Its Contributing Factors by Wenjie Ma, Xiaokang Liu, Shasha Shang, Zhen Wang, Yuyang Sun, Jian Huang, Mengfei Ma, Meihong Ma, Liangcheng Tan

“…Two approaches, multivariate linear regression and the Random Forest model, were employed to ascertain the relative significance of each factor influencing Bands I and II, respectively. …”
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Carbon Emission Influencing Factors and Scenario Prediction for Construction Industry in Beijing–Tianjin–Hebei by Wensheng Liu, Danchen Ren, Changbo Ke, Wei Ying

“…Based on the decomposition results and given relevant national policies, five scenarios are set up for each influencing factor, and a regression stochastic impact on population, affluence, and technology (STIRPAT) with ridge regression analysis is applied to each scenario combination for scenario prediction, forming a scientific and reasonable theoretical system to predict the future time of carbon peaking and carbon neutrality in the construction industry of Beijing–Tianjin–Hebei. …”
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RELATIONSHIP BETWEEN THE FACTORS AFFECTING EXERCISE BEHAVIOR AND PHYSICAL FITNESS AMONG UNIVERSITY STUDENTS by Aungkana Boonsem, Anan Malarat, Sathin Prachanban

“…This research consisted of the questionnaire and physical fitness test of five items on the Body Mass Index, Sit and Reach, Hand Grip Strength,60 Second Chair Stand and 3-Minute Step Up and Down. The data were analyzed using an independent t-test, One-Way ANOVA, One-Way ANCOVA and Multiple Regression Analysis, with a statistically significant level of 0.05. …”
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Diagnosis and Risk Factors of Acute Kidney Injury in Very Low Birth Weight Infants by Ankana Daga, Fredrick Dapaah-Siakwan, Sharina Rajbhandari, Cassandra Arevalo, Agnes Salvador

“…Prenatal nonsteroidal anti-inflammatory drug exposure, lower gestational age, lower birth weight, respiratory distress syndrome, mechanical ventilation, patent ductus arteriosus, hypotension, late onset sepsis, and higher CRIB II scores were significantly associated with AKI. Our regression analysis found CRIB II scores to be an independent risk factor for AKI (odds ratio = 1.621; 95% confidence interval, 1.230–2.167; p = 0.001). …”
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Crisis Management Skills of Management Nurses and Related Factors During the COVID-19 Pandemic by Selin Songül Bıyıkoğlu, Nükhet Ballıel

“…Research data were collected using the Socio-Demographic Information Form and the Crisis Management Scale (CMS) developed by Sayın (2006). The data were analyzed in the computer environment in the SPSS 22.0 program, and number, percentage, Anova, Tukey and linear regression analysis were used in the analysis of the data. …”
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Clinical Profile and Factors Determining the Final Visual Outcome of Patients Presenting with Ocular Trauma by Poonam Lavaju, Badri Prasad Badhu, Sangeeta Shah

“…Contusion was the most common CGI (55.26%). On multivariate analysis using binary logistic regression, the factors affecting the final outcome were initial VA (p=0.004, OR 0.063, CI: 0.010-0.380), lens status (p=0.037, OR: 2.54, CI 1.05-6.148) secondary glaucoma (p=0.035, OR 6.44, CI: 1.13-36.44), group (OGI vs CGI, p=0.001) and hyphaema (p=0.020). …”
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Factors influencing medical insurance participation and satisfaction among non-standard workers in China by Weiqian Wu, Yanbing Zeng

“…Based on Andersen’s model and logistic regression analysis, this study examined the factors influencing their insurance enrollment and analyzed the satisfaction level with medical insurance policies among those who participated. …”
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Infiltrative Basal Cell Carcinoma of the Head: Factors Influencing Bone Invasion and Surgical Outcomes by Anđela Dimkić Milenković, Vladimir Milenković, Masa Petrovic, Ana Tomic, Aleksandar Matejic, Nina Brkic, Milan Jovanović

“…Logistic regression analysis identified tumor length as the most significant predictor of both bone infiltration (OR = 1.102, <i>p</i> < 0.001) and surgical bone removal (OR = 1.105, <i>p</i> < 0.001). …”
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Predictive factors and pharmacological preventive interventions for atrial fibrillation after aortic valve replacement by Lu Chen, Yu Liu, Junmei Ge

“…The 168 patients from January 1, 2022, to May 31, 2023, were analyzed for POAF predictive factors, while 100 patients from June 1, 2023, were included in the prospective trial. …”
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Predictive Factors for Fetal Growth Restriction in Patients with Preeclampsia: A Clinical Prediction Study by Yan M, Li F, Jun S, Li L, You W, Hu L

“…Clinical data, including demographic characteristics, laboratory parameters, intrapartum complications and neonatal outcomes, were collected and analyzed. We employed least absolute shrinkage and selection operator (LASSO) logistic regression to identify independent risk factors for FGR. …”
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Association of Lifestyle and Body Composition on Risk Factors of Cardiometabolic Diseases and Biomarkers in Female Adolescents by Valter Paulo Neves Miranda, Paulo Roberto dos Santos Amorim, Ronaldo Rocha Bastos, Karina Lúcia Ribeiro Canabrava, Márcio Vidigal Miranda Júnior, Fernanda Rocha Faria, Sylvia do Carmo Castro Franceschini, Maria do Carmo Gouveia Peluzio, Silvia Eloiza Priore

“…The pro- and anti-inflammatory biomarkers were analyzed using Luminex technology. Associations with biomarkers were estimated by multiple linear regression. …”
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Influencing factors of early neurological deterioration in COVID-19 -associated acute ischemic stroke by Jian Wang, Lin Tao

“…Furthermore, multivariate Logistic regression analysis identified preexisting diabetes, stroke, high baseline NIHSS score, abnormal electrocardiogram, prolonged PT value, increased hs-CRP and elevated DD as independent risk factors for ENG in COVID-19-associated AIS. …”
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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

“…It often results in delayed recovery, prolonged hospital stays, and increased perioperative mortality rates.Objective: To analyze the risk factors for postoperative pneumonia in older adults undergoing hip arthroplasty and develop a nomogram-based prediction model using perioperative variables.Methods: A retrospective analysis was performed on 308 older adults who underwent hip arthroplasty. …”
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Factors associated with high probability of target blood pressure non-achievement in hypertensive patients by S. P. Zhemanyuk, V. V. Syvolap

“…Results According to the univariate logistic regression analysis, the dependent factors influencing the target blood pressure level poor reaching are the average diurnal diastolic blood pressure (DBP) (OR = 44.8); diurnal variability of systolic blood pressure (SBP) (OR = 4.4); square index of hypertension for diurnal periods SBP (OR = 318.9); square index of hypertension for diurnal periods DBP (HS = 36,6); the average pulse blood pressure (OR = 65.9), the rate of morning rise of SBP (OR = 3.6), and the maximum aggregation time of 5-minute ADP-induced platelet aggregation (OR = 3.5). …”
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Risk factors for poor outcome of patients with Coronavirus disease 2019 (COVID-19) in Albania by Ergys Ramosaço, Entela Kolovani, Najada Çomo, Nevila Gjermeni, Vjollca Shpata, Dhimiter Kraja

“…Methodology: A retrospective observational study on 133 consecutive hospitalized patients at “COVID 1” Hospital, University Hospital Center of Tirana. The study analyzed the correlation between potential risk factors and in-hospital mortality. …”
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The Doctor-Patient Relationship Status and the Associated Factors in Older Adults from Tehran, Iran by Hamideh Esmaeili, Yadollah Abolfathi Momtaz, Marjan Haghi, Mahshid Foroughan

“…The results of multiple linear regression analysis showed that the doctor-patient relationship variable was significantly predicted by the patients’ educational level, recommendation of another doctor for choosing a doctor, and duration of visit. …”
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Risk factors for nosocomial infections after cardiac surgery in newborns with congenital heart disease by Heladia García, Beatriz Cervantes-Luna, Héctor González-Cabello, Guadalupe Miranda-Novales

“…A multivariate logistic regression was used to determine the independent risk factors. …”
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Primary care quality of primary healthcare institutions in china: current status and influencing factors by Kexin Zhan, Chuchuan Wan, Ennan Wang, Yuankai Huang

“…Abstract Objective This study aims to assess the current state of primary care quality within Primary Healthcare Institutions (PHIs) in China and analyze potential factors that may influence the quality of primary care provided. …”
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Risk factors and predictive model for mild cognitive impairment in elderly patients with rheumatoid arthritis by Jun Yan, Hua Guo, Lin-Xin Zhang, Pei Chen, Yong-Ku Du, Juan Li, Ya-Ya Gao, Nan Ye

“…Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), with scores ranging from 20 to 26 indicating MCI. We analyzed demographic, clinical, and laboratory data to identify risk factors through logistic regression and constructed a nomogram. …”
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