Introduction: The aim of this study is to assess the outcomes of different induction therapies among mild to moderate immunological risk kidney transplants in the era tacrolimus and mycophenolate-derivate based maintenance.
Methods: This was a retrospective cohort study using data from the United States Organ Procurement and Transplantation Network among mild to moderate immunological risk living-donor KTRs, defined as having first transplant and panel reactive antibodies less than 20% but with two HLA-DR mismatches. KTRs were divided into two groups based on induction therapy with either thymoglobulin or basiliximab. Instrumental variable regression models were used to assess the effect of induction therapy on acute rejection episodes, serum creatinine levels and graft survival.
Results: Of the entire cohort, 788 patients received basiliximab while 1727 patients received thymoglobulin induction. There were no significant differences between basiliximab versus thymoglobulin induction in acute rejection episodes at one-year post-transplant (coefficient= -0.229, value = .106), serum creatinine levels at one-year post-transplant (coefficient= -0.024, value = .128) or death-censored graft survival (coefficient: - <0.001, value = .201).
Conclusion: This study showed no significant difference in acute rejection episodes or graft survival when using thymoglobulin or basiliximab in mild to moderate immunological risk living donor KTRs, maintained on tacrolimus and mycophenolate-based immunosuppressive regimen.
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http://dx.doi.org/10.1080/07853890.2023.2215536 | DOI Listing |
Purpose: We designed a study investigating the cardioprotective role of sleep apnea (SA) in patients with acute myocardial infarction (AMI), focusing on its association with infarct size and coronary collateral circulation.
Methods: We recruited adults with AMI, who underwent Level-III SA testing during hospitalization. Delayed-enhancement cardiac magnetic resonance (CMR) imaging was performed to quantify AMI size (percent-infarcted myocardium).
Front Child Adolesc Psychiatry
May 2024
Social Psychiatry and Mental Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Introduction: The present study conducted a secondary data analysis of a comprehensive survey from Child Guidance Centers in Japan to identify factors that are associated with child abuse severity in infancy (0-3 years, 1,868 cases) and preschool age (4-6 years, 1,529 cases). A predictive model for abuse severity was developed.
Methods: The data originated from a nationwide survey that was conducted in April 2013, consisting of details of abuse cases, including child characteristics, abuser attributes, and family situation.
Ecancermedicalscience
November 2024
Department of Community Health and Primary Care, College of Medicine, University of Lagos, Idi-araba, Lagos 101017, Nigeria.
Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a major side effect associated with chemotherapy. It can lead to detrimental dose reductions and discontinuation of treatment because of its significant effect, which impairs the quality of life among the surviving population of cancer patients. This study assesses the prevalence and predictors of CIPN among female breast cancer patients receiving chemotherapy at the Lagos University Teaching Hospital and Lagos State University Teaching Hospital (LUTH and LASUTH), respectively.
View Article and Find Full Text PDFBraz J Vet Med
January 2024
Veterinarian, DSc., Departamento de Clínica Veterinária, FMVZ, UNESP, Botucatu, São Paulo, Brazil.
Intestinal parasites of the genus are the most prevalent in coproparasitological examinations and necropsies of dogs in Brazil. Although adult dogs often remain asymptomatic when infected, there is limited published information concerning the laboratory and clinical findings and severity of infection in symptomatic adult dogs. Therefore, this study aimed to characterize the clinical and laboratory findings of adult -infected dogs.
View Article and Find Full Text PDFNarra J
December 2024
Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. The aim of this study was to evaluate deep learning models for automated classification of psoriasis severity. A dataset containing 1,546 clinical images was subjected to pre-processing techniques, including cropping and applying noise reduction through median filtering.
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