Unveiling Patient Satisfaction: Analysis of Factor Influencing Patient-Centered Care At Bunda Margonda Hospital by Putu Agus Sujana Putra, NLP Dina Susanti, Made Rismawan, Made Dian Shanti Kusuma

“…In the non-BPJS group, age (p = 0.029) and marital status (p = 0.024) were significant factors. Logistic regression analysis revealed that length of stay was the most influential factor for BPJS patients (aOR = 2.3; p = 0.023), whereas marital status was the primary factor for non-BPJS patients (aOR = 1.3; p = 0.024). …”
Get full text

Predictive value of shear wave elastography and molecular subtypes for postoperative efficacy in patients with early breast cancer by Qiao-Ying Zhao, Bing Zhao, Gang Wu

“…Logistic regression analysis identified the elastic modulus value (odds ratio [OR]: 5.841 [3.714–6.112], p < 0.05), Ki-67 level (OR: 3.522 [1.865–3.897], p < 0.05) and molecular subtypes (OR: 4.331 [2.552–6.714], p < 0.05) as risk factors; logistic regression analysis also performed favourably for the prediction of pCR (area under the curve: 0.922 [0.871–0.934]) in patients with BC.Conclusion Elastic modulus value, Ki-67 level and molecular subtypes are risk factors for pCR in patients with BC.…”
Get full text

The higher serum uric acid to high-density lipoprotein cholesterol ratio is associated with increased risk of chronic obstructive pulmonary disease: result from NHANES 2011–2018 by Yunjia Bao, Jiangyuan Li, Zhiyu Wang, Linxi Lv, Mingyang Zhu

“…After adjusting for interfering factors, logistic regression analysis revealed a notable correlation between UHR and COPD. …”
Get full text

Risk Factors and Predictive Models for Postpartum Hemorrhage after Vaginal Delivery by Yongjuan Bi, Yanhua Zhang, Li Li, Jing Bai, Jing Li

“…Fourteen risk factors could cause increased risk of PPH, including demographic characteristics and placental anomalies factors. Logistic regression analysis was used to influence the risk factors of PPH in vaginal delivery. …”
Get full text

Analysis of breastfeeding status and influencing factors among healthcare workers in Southwestern China by Tingting Dai, Jiaxin Wan, Qiuyue Liu, Xiaoyan Liu, Cheng Chen

“…The primary sources of breastfeeding knowledge were the internet and professional consultations, while common barriers included nipple/breast problems and work-related factors. Logistic regression analysis identified four independent factors associated with the continuation of exclusive breastfeeding for 6 months (all p < 0.05): parity (OR 1.86; 95%CI 1.35, 2.58), breastfeeding consultations during pregnancy (OR 1.44; 95%CI 1.04, 2.00), three-shift work resumption (OR 1.67; 95%CI 1.32, 2.10), and family support for breastfeeding (OR 1.90; 95%CI 1.07, 3.37). …”
Get full text

Association of Robson Ten Group Classification System with neonatal/postneonatal mortality: an analysis for the effect of the mass migrationAJOG Global Reports at a Glance by Damla Çarkçı Yıldız, MD, Elif Gül Yapar Eyi, MD

“…Robson Group Distribution: The distribution of cesarean births across Robson groups was varied, with the highest mortality rates observed in groups R8, R9, R10, R6, and R7 (p=.001). Risk Factors: Logistic regression analysis identified Robson groups, fetal presentation, gestational age, Apgar scores, and newborn weight/height as significant risk factors for neonatal /postneonatal mortality. …”
Get full text

Back to the basics–risk factor identification of pediatric malignant lymphadenopathy proven by pathological studies by Wei-Hsiang Su, Cheng-Che Wu, Chia-Man Chou, Sheng-Yang Huang, Hou-Chuan Chen

“…Weight loss, fixed LAP, firm consistency, and serum lactate dehydrogenase (LDH) exceeding 240 U/L were more related to malignant LAP than other risk factors. Multiple regression analysis revealed two independent risk factors. …”
Get full text

Cross-sectional study on the association between 24-hour urinary potassium excretion and the risk of H-type hypertension and non-H-type hypertension in Chinese adults by Qingfang He, Xiaofu Du, Xiangyu Chen, Lixin Wang, Yujia Fang, Jieming Zhong

“…After controlling for confounding factors, logistic regression analysis displayed that for every 1 mmol/L increase in 24-h urinary potassium excretion, the risk of H-type hypertension and non-H-type hypertension decreased by 1.4% (OR=0.986, 95% CI: 0.978-0.995, P=0.002) and 1.7% (OR=0.983, 95% CI: 0.968-0.998, P=0.025), respectively. …”
Get full text

Effects of combined drip irrigation and mulching practices on the soil evaporation characteristics in a young apple orchard in arid northwestern China by Xinyu WANG, Haijing WANG, Xiao LI, Di WANG

“…Compared to the TL treatment, the daily SE under FM and SM treatments was more susceptible to meteorological factors. Stepwise regression analysis showed that the daily SE of the young orchard was mainly controlled by the vapor pressure deficit, reference evapotranspiration and solar radiation, regardless of the treatment. …”
Get full text

Risk factors of catheter-related blood stream infection associated with chronic hemodialysis diabetics with cuffed dialysis catheter in Baoding area by Li Xiao-dong, Li Xin-yue, Li Bao-xin, Wang Xiang-dong, Tang Guan-ying

“…P<0.05 was deemed as statistically significant and multi-factor Logistic regression analysis was performed. Results There were 26 cases of CRBSI with an incidence rate of 2.4 thousand duct day; 29 strains of pathogenic bacteria were detected with predominantly Staphylococcus aureus（34.48%）,followed by Staphylococcus epidermidis and Pseudomonas aeruginosa（13.79%）. …”
Get full text

Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

“…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. …”
Get full text

Modeling and statistical analysis of the impact of environmental factors on aquatic biodiversity by Kozlova Anastasia, Solovieva Tatiana, Kurashkin Sergei, Bricotnin Maxim, Kandaurova Natalia

“…The work employed correlation, factor, and regression analysis methods, which revealed significant relationships between ecological characteristics and amphibian species abundance. …”
Get full text

Internet addiction and its influencing factors among middle school students in Hunan province: a cross-sectional study by Fei WANG, Lixi QIN, Zhuoga NIMA, Yaqing TAN, Miyang LUO, Yanhua CHEN, Jiayou LUO

“…The chi-square test was used to compare the differences in internet addiction detection rates between groups, and multi-factor logistic regression analysis was used to analyze the influencing factors of internet addiction. …”
Get full text

Association of restless legs syndrome with malnutrition,inflammation and sleep quality in hemodialysis patients by HUANG Hua-xing, SHEN Liang-lan, ZHANG Fen, WANG Chen, FANG Xing-xing, CHEN Dong-mei

“…Single factor Logistic regression analysis was used to analyze the related factors. …”
Get full text

Predictive Value of AIP and AGR for Non-alcoholic Fatty Liver Disease and Significant Liver Fibrosis by Zhang Simin, Zhou Changyu, Shi Xianquan, Huang Lizhen

“…SPSS 27.0 and R 4.4.0 were used to analyze the data, single-factor Logistic regression analysis was applied to screen the influencing factors of NAFLD, stepwise regression was applied to screen the variables, and multi-factor Logistic regression was performed to construct the prediction model and draw the column graph. …”
Get full text

Changes of serum tumor marker levels and analysis of risk factors in patients with chronic kidney disease by YU Jun-nan, LIU Cai-xia, ZHAO Nan, SUN Dong

“…Objective To investigate whether the expression of serum tumor markers in patients with chronic kidney disease(CKD)has changed,and to analyze the risk factors influencing the changes.Methods The serum tumor markers[including α-fetoprotein(AFP),carcinoembryonic antigen(CEA),CA125,CA199,CA153,TPSA],albumin(Alb),serum creatinine,hemoglobin levels,age and glomerular filtration rate(GFR)of 427 CKD patients and 420 healthy medical examiners from the Affiliated Hospital of Xuzhou Medical University were collected and compared for differences between the two groups.The relevant factors that lead to changes in tumor markers in patients with CKD were screened out by univariate analysis,and multi-factor logistic regression analysis were used to identify risk factors for elevated tumor indicators.Results There was no significant difference in serum TPSA between the CKD group and the healthy control group(P<0.05).The AFP level was lower than that of the healthy control group,and the difference was statistically significant(P<0.01).The levels of CEA,CA125,CA199,and CA153 were higher than those in the healthy control group,with statistically significantdifferences(P<0.01).Logistic regression analysis showed that decreased glomerular filtration rate was a risk factor for CEA elevation,serum albumin and hemoglobin decline were risk factors for CA125 elevation,serum albumin decrease was a risk factor for CA199 and CA153 elevation,and age was a risk factor for elevated TPSA.Conclusions The application value of TPSA in CKD patients is the same as that in the normal population.In the diagnosis of related tumors based on serum tumor indicators,a comprehensive analysis must be done in conjunction with factors such as patients’ age,renal function,serum albumin,and hemoglobin levels.…”
Get full text

Predictive values of neck circumference and TyG index on polycystic ovary syndrome with metabolic syndrome by Yixuan Liu, Aihong Liu, Xiangyu Xu, Huali Wang, Qinghai Wang, Xianwei Huang, Ping Liu

“…ANOVA, multi-factor logistic regression analysis and ROC curve prediction analysis were performed. …”
Get full text

RISK FACTORS FOR THE EARLY NEONATAL MORTALITY IN NEWBORNS WITH VERY LOW AND EXTREMELY LOW BIRTH WEIGHT by О. V. Lebedeva, Т. А. Chikina

“…The association of risk factors with the early neonatal mortality was assessed by means of a multiple-factor logistic regression analysis. A critical p error level was set equal to 0.05. …”
Get full text

Predictive value of hemoglobin, serum PAF, and IL-17 in patients with radiation enteritis complicated with intestinal obstruction and construction and validation of predictive mode... by Meng Wang, Yang Zhao, Wenqiang Ren

“…The decision curve analysis (DCA) was used to evaluate the value of clinical application.ResultsMulti-factor Logistic regression analysis showed that diabetes, decreased hemoglobin level, increased serum PAF and IL-17 levels, CRP, were the independent risk factors for intestinal obstruction in patients with radiation enteritis (p &lt; 0.05). …”
Get full text

Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

“…Furthermore, multiple-factor logistic regression analysis confirmed that PAstV, PKoV, bovine viral diarrhea virus (BVDV), and PEDV were closely related to porcine diarrhea. …”
Get full text