Development and validation of a LASSO-based prediction model for immunosuppressive medication nonadherence in kidney transplant recipients
نویسندگان
چکیده
Introduction To establish a prediction model to predict immunosuppressive medication (IM) nonadherence in kidney transplant recipients (KTRs) based on combined theory framework.
منابع مشابه
Cost-related immunosuppressive medication nonadherence among kidney transplant recipients.
BACKGROUND AND OBJECTIVES Immunosuppressive medications are essential in preventing kidney transplant rejection. Continuous insurance coverage for outpatient immunosuppressive medications remains a major issue. The objective of this study was to establish the prevalence and consequences of cost-related immunosuppressive medication nonadherence. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS A ...
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OBJECTIVES To assess the degree of immunosuppressive medication adherence in kidney transplant patients (KTPs) and to determine if there is a difference in the rate of adherence to tacrolimus (Tac), cyclosporine (CsA) and sirolimus (Sir). SUBJECTS AND METHODS From a total of 63 KTPs treated at the Clinic of Nephrology, Clinical Centre Niš, Serbia, 60 participated in the study by responding to...
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BACKGROUND Kidney transplantation is the renal replacement therapy of choice for most patients with end-stage renal disease (ESRD), however, adherence to the recommended lifestyle is critical for a positive prognosis. The purpose of this study was to assess adherence to immunosuppressive therapy and lifestyle recommendations along with some related factors among kidney transplant patients. MA...
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INTRODUCTION The adverse effects of immunosuppression appear in the majority of patients with a negative impact on morbidity, mortality and quality of life. The group of adverse symptoms manifested as changes in appearance, mood and energy are often more stressful than serious metabolic changes because of their direct negative influence on patients' well-being. The aim of this study is to explo...
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ژورنال
عنوان ژورنال: Renal Failure
سال: 2023
ISSN: ['1525-6049', '0886-022X']
DOI: https://doi.org/10.1080/0886022x.2023.2238832