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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Factors that affect the development of acute hemorrhagic rectal ulcer syndrome and rebleeding by Natsumi Uehara, Kazuaki Inoue, Yuichiro Kuroki, Naoki Miyao, Kenta Iwahashi, Reika Suzuki, Toshiyuki Endo, Kunio Asonuma, Erika Yoshida, Naoko Koshibu, Akihiro Tabuchi, Misako Tohata, Shotaro Hanamura, Kuniyo Gomi, Yorimasa Yamamoto, Masatsugu Nagahama

“…The relationship with episodes of rebleeding was analyzed by multivariate logistic regression analysis. …”
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The Effect of Internal Control Factors on the Accountability of the Auditor at the Inspectirate of Jombang District by Ludfa Febriana, Siti Maria Wardayati, Whedy Prasetyo

“…This study aims at testing and analyzing the influence of internal control factors to auditors who work in the inspectorate of Jombang District. …”
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Factors that contribute to loss to follow-up in the medium term after initiation of anti-vascular endothelial growth factor therapy for neovascular age-related macular degeneration... by Takaaki Sugisawa, Fumi Gomi, Yuri Harada, Hiroko Imaizumi, Shuichiro Aoki, Akiko Miki, Maya Kishi, Tomofusa Yamauchi, Daisuke Nagasato, Yoko Ozawa, Masatoshi Haruta, Nobuhiro Kato, Hisashi Matsubara, Tsutomu Yasukawa, Aki Kato, Hiroto Terasaki, Takao Hirano, Yasuhiro Iesato, Hiroki Tsujinaka, Tomoya Murakami, Yoshinori Mitamura, Makiko Wakuta, Kazuhiro Kimura, Masahiko Shimura, J-CREST (Japan Clinical Retina Study) Group

“…Stepwise regression analysis identified factors that were significantly associated with LTFU at a very early stage to be greater central retinal thickness at baseline and a prior treatment history, those associated with early LTFU to be worse baseline best-corrected visual acuity (BCVA), anti-VEGF treatment combined with photodynamic therapy, and a follow-up period that overlapped with the COVID-19 pandemic, and that associated with medium-term LTFU to be worse BCVA at 3 months. …”
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Three-decade analysis of regional disparities in metabolic risk factor related ischemic heart disease mortality: Contrasting trends between South Asia and North America by Bilawal Nadeem, Koravich Lorlowhakarn, Saad Ur Rahman, Muhammad Talha, Sarju Ganatra, Sourbha S. Dani

“…Background: The impact of metabolic risk factors on ischemic heart disease (IHD) exhibits substantial regional variability. …”
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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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Predicting the prognosis of patients with sudden sensorineural hearing loss by analyzing the audiometric curve of the unaffected ear by Xuan Sun, Yahan Zhao, Yi Li

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Risk factors for multidrug resistance in pulmonary tuberculosis patients with diabetes mellitus by Lianpeng Wu, Lianpeng Wu, Na Chen, Na Chen, Dandan Xia, Dandan Xia, Xiangao Jiang, Xiangao Jiang

“…Multivariate logistic regression analysis was used to identify independent risk factors for MDR, and receiver operating characteristic (ROC) curves were constructed to evaluate the predictive value of these factors.ResultsA total of 318 patients were analyzed, with 253 in the non-MDR group and 65 in the MDR group. …”
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Ecological Factors Determining Abundance of Parasitic Mites on Aedes spp. Larvae by Nurhadi Eko Firmansyah, Susi Soviana, Bambang Heru Budianto

“…The influence of ecological factors was analyzed using regression and correlation analysis. …”
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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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Clinical Factors Contributing to Age-Related Gait Dysfunction in Older Adults by Yoshihito Sakai MD, PhD, Tsuyoshi Watanabe MD, PhD, Norimitsu Wakao MD, PhD, Hiroki Matsui MD, PhD, Naoaki Osada MD, Yui Adachi MD, Yosuke Takeichi MD, Akira Katsumi MD, PhD, Ken Watanabe PhD

“…Results Among the 2083 participants, 1323 and 760 were included in the independent and assisted groups, respectively. The logistic regression analysis identified five significant factors ( P < 0.01): age, body mass index, red blood cell distribution width, skeletal muscle mass index, and sagittal vertical axis. …”
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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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MAIN FACTORS AFFECTING CLASS MANAGEMENT ABILITY IN ISLAMIC PRIMARY SCHOOL by Nazilatul MIFROH, Siti FATONAH

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Exploring the optimal method for quantifying the contribution of driving factors of urban floods by Xi Huang, Linhan Yang, GuiCheng Yang, Jiufeng Li, Luo Liu, Yilun Liu, Xianzhe Tang

“…Effective UF management requires two key elements: (1) assessing susceptibility to identify flood-prone hotspots and (2) analyzing factor contributions to pinpoint primary drivers. …”
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Influencing factors of intraoperative blood transfusion and prognosis in lung transplant patients by YANG Huaying, QIANG Xinchen, SUN Lingling, SHAO Junliang

“…[Objective] To explore the risk factors of allogeneic blood transfusion during lung transplant surgery and prognostic effects of transfusion by analyzing the basic data, surgical details, laboratory tests results, and intraoperative blood transfusion details during the perioperative period of lung transplant, so as to guide clinical blood use. …”
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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

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