scholarly journals Predictors of Comorbid Anxiety Symptoms After a New Diagnosis of Epilepsy: A Prospective 12-Month Follow-Up Observation

2021 ◽  
Vol 12 ◽  
Author(s):  
Rui Zhong ◽  
Weihong Lin ◽  
Qingling Chen ◽  
Xinyue Zhang ◽  
Guangjian Li
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Anxiety Symptoms ◽  
Stepwise Logistic Regression ◽  
Newly Diagnosed ◽  
Stepwise Logistic Regression Analysis ◽  
Comorbid Anxiety ◽  
Multivariate Stepwise Logistic Regression

Objectives: We aimed to identify the factors contributing to comorbid anxiety symptoms over a 12-month follow-up period in Chinese adults with newly diagnosed epilepsy.Methods: Adult patients with newly diagnosed epilepsy (PWNDE) were recruited from First Hospital, Jilin University. Anxiety symptoms were assessed using the Generalized Anxiety Disorder-7 questionnaire (GAD-7; Chinese version) at 12 months. Multivariate stepwise logistic regression analysis was employed to identify the predictors for anxiety symptoms at 12 months.Results: A total of 157 PWNDE completed the study and were included in the final analysis. The percentage of participants with anxiety symptoms significantly decreased from 31.2% at baseline to 23.6% at 12 months (p = 0.027). Multivariate stepwise logistic regression analysis indicated that depressive symptoms at baseline [odds ratio (OR) 3.877 (95% confidence interval (CI) 1.683–8.933); P = 0.001] and the number of antiseizure medications (ASMs) during the follow-up period [OR 2.814 (95% CI 1.365–5.803); P = 0.005] were independent factors contributing to comorbid anxiety symptoms at 12 months.Conclusion: Depressive symptoms at baseline and the number of ASMs during the follow-up period were significant predictors of comorbid anxiety symptoms 12 months after a diagnosis of epilepsy.

scholarly journals Allogeneic Red Blood Cell Transfusion Rate and Risk Factors in Elderly Patients With Femoral Neck Fracture After Hemiarthroplasty

2020 ◽  
Author(s):  
Rui Yue ◽  
Minghui Yang ◽  
Xiaohui Deng ◽  
Ping Zhang
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Femoral Neck ◽  
Elderly Patients ◽  
Blood Cell ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Neck Fracture ◽  
Multivariate Stepwise Logistic Regression

Abstract Objective: To determine the rate and risk factors of allogeneic red blood cell transfusions (ABT) in elderly patients with femoral neck fracture (FNF) after hemiarthroplasty (HA). Methods: We conducted a study on elderly patients (≥65 years old) who were admitted to the geriatric trauma orthopedics ward of Beijing Jishuitan Hospital for HA treatment from March 2018 to February 2019 due to FNF. The perioperative data were collected retrospectively, and univariate and multivariate stepwise logistic regression analysis were performed to determine the postoperative ABT rate and its risk factors. Results: 343 patients were included in the study, of which 151 (44.0%) received ABT after surgery. Multivariate stepwise logistic regression analysis showed that preoperative low hemoglobin (Hb), high intraoperative blood loss (IBL), advanced age, and low body mass index (BMI) are independent risk factors of ABT after HA in elderly FNF patients. Conclusion: ABT after HA is a common phenomenon in elderly patients with FNF. Their postoperative ABT needs are related to preoperative low Hb, high IBL, advanced age, and low BMI. Therefore, ABT can be reduced from the above aspects.

scholarly journals Allogeneic Red Blood Cell Transfusion Rate and Risk Factors in Elderly Patients with Femoral Neck Fracture after Hemiarthroplasty

2020 ◽  
Author(s):  
Rui Yue ◽  
Minghui Yang ◽  
Xiaohui Deng ◽  
Ping Zhang
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Femoral Neck ◽  
Elderly Patients ◽  
Blood Cell ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Neck Fracture ◽  
Multivariate Stepwise Logistic Regression

Abstract Objective: To determine the rate and risk factors of allogeneic red blood cell transfusions (ABT) in elderly patients with femoral neck fracture (FNF) after hemiarthroplasty (HA). Methods: We conducted a study on elderly patients (≥65 years old) who were admitted to the geriatric trauma orthopedics ward of Beijing Jishuitan Hospital for HA treatment from March 2018 to February 2019 due to FNF. The perioperative data were collected retrospectively, and univariate and multivariate stepwise logistic regression analysis were performed to determine the postoperative ABT rate and its risk factors. Results: 445 patients were included in the study, of which 177 (39.8%) received ABT after surgery. Multivariate stepwise logistic regression analysis showed that preoperative low hemoglobin (Hb), high intraoperative blood loss (IBL), advanced age, and low body mass index (BMI) are independent risk factors of ABT after HA in elderly FNF patients. Conclusion: ABT after HA is a common phenomenon in elderly patients with FNF. Their postoperative ABT needs are related to preoperative low Hb, high IBL, advanced age, and low BMI. Therefore, ABT can be reduced from the above aspects.

scholarly journals Prolonged haemodialysis increases the risk of the impairment of global longitudinal strain in patient after kidney transplantation and a preserved ejection fraction of left ventricle

2019 ◽  
Author(s):  
Marta Obremska ◽  
Anna Goździk ◽  
Maciej Szymczak ◽  
Dorota Zysko ◽  
Maria Boratyńska ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Kidney Transplantation ◽  
Longitudinal Strain ◽  
Global Longitudinal Strain ◽  
Stepwise Logistic Regression ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Stepwise Logistic Regression Analysis ◽  
Multivariate Stepwise Logistic Regression

Abstract Background. Patients with chronic kidney disease, including these after kidney transplantation (KTx), have higher cardiovascular mortality. Global longitudinal strain (GLS) detects subtle changes in the left ventricle (LV) and is more sensitive predictor of cardiovascular mortality than the LV ejection fraction (LVEF).The aim of this study was to assess the prevalence of impaired GLS among kidney transplant recipients with preserved LVEF. We also aimed to identify possible clinical factors responsible for GLS impairment. Methods. A total of 79 patients following KTx with preserved LVEF and no history of cardiac disease were evaluated. We assessed echocardiogram parameters with the calculation of GLS, laboratory parameters, presence of diabetes, hypertension, duration of haemodialysis (HD) and time after KTx. An impaired GLS value was set on ≥-18%. The multivariate stepwise logistic regression analysis were used to identify the factors related to impaired GLS. Results. Among 79 (42 females, mean age 60.3) kidney transplant recipients with preserved LVEF, 39% had impaired GLS. ROC analysis revealed that the cut-off point for the prediction GLS ≥-18 % by HD duration is more than 28 months (AUC 0.67 (95%CI 0.545-0.79; P=0.007). In multivariate stepwise logistic regression analysis for variables related to impaired GLS duration of HD more than 28month is associated with GLS ≥-18( OR 4.06; 95CI (1.45-11.34) P=0.008). Conclusions. In our study group, a total of 39% of KTx patients with preserved LVEF had impaired GLS. The risk factor of GLS impairment was a prolonged duration of HD (>28months) prior to the transplantation procedure.

scholarly journals Allogeneic Red Blood Cell Transfusion Rate and Risk Factors in Elderly Patients with Femoral Neck Fracture After Hemiarthroplasty

2021 ◽  
Author(s):  
Rui Yue ◽  
Minghui Yang ◽  
Xiaohui Deng ◽  
Ping Zhang
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Femoral Neck ◽  
Elderly Patients ◽  
Blood Cell ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Neck Fracture ◽  
Multivariate Stepwise Logistic Regression

Abstract Objective: To determine the rate and risk factors of allogeneic red blood cell transfusions (ABT) in elderly patients with femoral neck fracture (FNF) after hemiarthroplasty (HA). Methods: We conducted a study on elderly patients (≥65 years old) who were admitted to the geriatric trauma orthopedics ward of Beijing Jishuitan Hospital for HA treatment from March 2018 to February 2019 due to FNF. The perioperative data were collected retrospectively, and univariate and multivariate stepwise logistic regression analysis were performed to determine the postoperative ABT rate and its risk factors. Results: 445 patients were included in the study, of which 177 (39.8%) received ABT after surgery. Multivariate stepwise logistic regression analysis showed that preoperative low hemoglobin (Hb), high intraoperative blood loss (IBL), advanced age, and low body mass index (BMI) are independent risk factors of ABT after HA in elderly FNF patients. Conclusion: ABT after HA is a common phenomenon in elderly patients with FNF. Their postoperative ABT needs are related to preoperative low Hb, high IBL, advanced age, and low BMI. Therefore, ABT can be reduced from the above aspects.

scholarly journals A Stepwise Logistic Regression Analysis: An application toward Poultry Farm Data in Johor

2018 ◽  
Vol 7 (3.28) ◽  
pp. 68
Author(s):  
Siti Afiqah Muhamad Jamil ◽  
Mohd Asrul Affendi Abdullah ◽  
Kek Sie Long ◽  
Nur Fazilla Mohd Jupri ◽  
Mustafa Mamat
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Information Criterion ◽  
Stepwise Logistic Regression ◽  
Ratio Test ◽  
Poultry Farm ◽  
Omnibus Test ◽  
Stepwise Logistic Regression Analysis ◽  
Spss Software

The aims of this study are to fit a logistic regression model towards the fly problem in a farm and to identify the variables that are associated with the fly problem in a poultry farm. By using SPSS software, this study used ‘FORWARD STEPWISE’ and ‘BACKWARD STEPWISE’ methods to perform the analysis. Compared to linear regression analysis, logistic regression does not require rigorous assumptions to be met. This study used Likelihood Ratio test, Omnibus test and Hosmer and Lemeshow test to validate and to test the fit of poultry farm data. Akaike Information Criterion (AIC) is calculated to observe the difference between the methods of stepwise used by SPSS software in this study. As a result, logistic regression is fit towards poultry farm data by a stepwise procedure. BACKWARD STEPWISE seems to be more suitable for conducting the stepwise method of analysis. Besides, variables that influence the problem of fly in a poultry are the wasps, distance and number of flies. 

scholarly journals Decreased serum C1Q/TNF-related protein 4 concentrations are associated with type 2 diabetes mellitus

2021 ◽  
Vol 12 ◽  
pp. 204201882110598
Author(s):  
Zheng Liu ◽  
Jinhua Lu ◽  
Daiyi Zhang ◽  
Lijuan Niu ◽  
Bimin Shi
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Logistic Regression ◽  
Stepwise Logistic Regression ◽  
Newly Diagnosed ◽  
Spearman Correlation ◽  
Related Protein ◽  
Multivariate Stepwise Logistic Regression

Objective: To detect serum C1Q/TNF-related protein 4 (CTRP4) concentrations in patients with newly diagnosed type 2 diabetes mellitus (T2DM) and evaluate the correlation between CTRP4 and other variables in T2DM. Method: Sixty-five patients with newly diagnosed T2DM and eighty-nine healthy volunteers were enrolled in this study. Anthropometric and biochemical data of the study participants was collected, and serum CTRP4 concentrations were detected by enzyme-linked immunosorbent assay (ELISA) kit. The correlation between serum CTRP4 and other indexes was analyzed by Spearman correlation analysis. Trend χ2 test and binary multivariate stepwise logistic regression were performed to assess the correlation between CTRP4 and the risk of T2DM. Results: Serum CTRP4 concentrations in the T2DM group were significantly lower than those in the control group ( P < .01). Spearman correlation analysis showed that CTRP4 concentrations were negatively correlated with BMI, hs-CRP, HOMA-IR, FBG and TG ( r = - 0.430, - 0.453, - 0.371, - 0.361, - 0.506, P < .05), and positively correlated with HDL-c ( r = 0.303, P < .05). Trend χ2 test indicated that with the increase of CTRP4 levels in the population, the risk of T2DM presented a general downward trend ( P < .01). Binary multivariate stepwise logistic regression suggested that serum CTRP4 was an independent impact factor for T2DM and high serum CTRP4 levels were related to the decreased risk of T2DM (P < .05). Conclusions: Serum CTRP4 concentrations decrease in patients with newly diagnosed T2DM. Serum CTRP4 levels are negatively associated with the risk of T2DM.

scholarly journals Mental health status of Chinese residents during the COVID-19 epidemic

2020 ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Cognitive Processing ◽  
Multiple Logistic Regression Analysis ◽  
Anxiety Symptoms ◽  
Multiple Logistic Regression ◽  
Processing Bias ◽  
Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health.Methods: A total of 60199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey revealed mild, moderate, and severe depressive symptoms in 62.65%, 11.33%, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21%, 41.27%, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

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