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Article Synopsis
  • The study investigated the effects of ACE inhibitors and diuretics on heart damage from ischemia-reperfusion in hypertensive rats, showing significant blood pressure reduction and improved heart function.
  • After four weeks of treatment, a combination of drugs decreased left ventricular hypertrophy and increased ejection fraction, but also indicated potential pro-oxidative effects.
  • Pathological analysis revealed no significant changes in heart and kidney tissues, and further research is necessary to explore the long-term effects of these medications.
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Study Objectives: Obstructive sleep apnea (OSA), characterized by intermittent hypoxia (IH), and is associated with increased cardiovascular mortality that may not be reduced by standard therapies. Inappropriate activation of the renin-angiotensin-aldosterone system occurs in IH, and mineralocorticoid receptor (MR) blockade has been shown to improve vascular outcomes in cardiovascular disease. Thus, we hypothesized that MR inhibition prevents coronary and renal vascular dysfunction in mice exposed to chronic IH.

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Background: High output is a common cause for readmission after new ileostomy creation. The loss of sodium leads to compensatory activation of the renin-angiotensin-aldosterone system (RAAS). Angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) are first-line therapy for hypertension in the United States.

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Hypertension is a common risk factor for cardiovascular disease. Pharmacogenomics, as a tool for personalized healthcare, helps in determining the optimal drug treatment based on the genome of individual patient. This study reports a 49-year-old male with acute cerebral infarction, pulmonary infection, extremely high-risk hypertension (grade3), type 2 diabetes, hyperhomocysteinemia, hyperlipidemia, and fatty liver.

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Identification of kidney-related medications using AI from self-captured pill images.

Ren Fail

December 2024

Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.

Article Synopsis
  • * It misidentified three medications due to errors in reading their imprints but showed 100% consistency upon retesting after feedback.
  • * The study concluded that while ChatGPT-4 shows promise as a tool for medication identification, improving its ability to read challenging imprints is necessary for better integration into digital health.
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