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

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.

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Risk factors for global longitudinal strain impairment in renal transplant recipients with preserved left ventricular ejection fraction

10.21203/rs.2.14684/v1 ◽

2019 ◽

Author(s):

Marta Obremska ◽

Anna Goździk ◽

Maciej Szymczak ◽

Dorota Zysko ◽

Maria Boratyńska ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Ejection Fraction ◽

Cardiovascular Mortality ◽

Longitudinal Strain ◽

Global Longitudinal Strain ◽

Stepwise Logistic Regression ◽

Transplant Recipients ◽

Kidney Transplant Recipients ◽

Stepwise Logistic Regression Analysis

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 Classification and Regression Trees and 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. In stepwise logistic regression analysis, two variables related with GLS≥-18%: duration of HD before KTx longer than 27.5 months (OR 4.48, 95% CI 1.46-14.38, P=0.01), and eGFR greater than 60mL/min/1.73m2 (OR 0.155, 95% CI 0.024-0.967, P= 0.049). Conclusions. In our study group, a total of 39% of KTx patients with preserved LVEF had impaired GLS. The main risk factor of GLS impairment was the prolonged time of HD (>27.5 months) prior to KTx, whereas a good renal graft function (eGFR>60mL/min/1.73m2) only marginally proved to be a protective factor.

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

10.21203/rs.3.rs-84458/v1 ◽

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.

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

10.21203/rs.3.rs-102425/v1 ◽

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.

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

Frontiers in Neurology ◽

10.3389/fneur.2021.743251 ◽

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.

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

10.21203/rs.3.rs-154856/v1 ◽

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.

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

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.28.20968 ◽

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.

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