Although testicular cancers are highly curable malignancies, conventional cisplatin based therapy often causes important toxicities, not often easily manageable. Nephrotoxicity occurs in almost all patients, and is potentialized in patients suffering from renal failure. Monitoring of residual levels of unbound platinum was used to define guidelines for cisplatin administration. Monitoring of cisplatin was initiated in a patient treated for metastatic testicular cancer and acute renal failure. Reduced doses of cisplatin were first administered in conjunction with hemodialysis. Unbound and total platinum levels were determined by flameless atomic absorption spectrophotometry. The data found allowed us to adapt and increase sequentially cisplatin doses, accordingly with the renal function. Full regimen doses were eventually administered when useful renal function returned. This simple approach may be useful in monitoring cisplatin administration during acute renal failure.
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http://dx.doi.org/10.1177/1078155209351761 | DOI Listing |
J Med Internet Res
January 2025
Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.
Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Nephrology, Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.
Introduction: Chronic Kidney Disease (CKD) is a growing global health issue, affecting approximately 9.1% of the world's population. Oxidative stress is believed to play a key role in CKD development, with indicators such as the Oxidative Balance Score (OBS), Pro-Oxidant-Antioxidant Balance (PAB), and Total Antioxidant Capacity (TAC) being of particular interest.
View Article and Find Full Text PDFAm J Case Rep
January 2025
Department of Obstetrics and Gynecology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
BACKGROUND Studies using transgenic mouse models have demonstrated that estrogen is necessary for the development of cervical cancer, particularly in tissues responsive to estrogen. Estrogen also protects cervical cancer cells from apoptosis, suggesting its role in the survival and persistence of cancer cells. CASE REPORT An 84-year-old woman with diabetes mellitus, hypertension, and stage III chronic renal failure was diagnosed with cervical squamous cell carcinoma, FIGO stage IB2.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.
Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.
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