Publications by authors named "Fong-Rong Chuang"

Article Synopsis
  • Ultrasonography is an effective tool for assessing kidney size and evaluating nephropathy progression in patients with uremia and renal failure.
  • A study analyzed 318 adult patients undergoing dialysis, finding diabetes mellitus (DM) as the primary cause of uremia, with similar DM distribution in both genders.
  • Among DM patients, males were typically younger and had larger kidneys compared to females, while gender differences in kidney size were absent in non-DM patients.
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Primary aldosteronism is an important cause of secondary hypertension, because it is potentially curable, especially in case of unilateral aldosterone-producing adrenal adenoma (APA). However, the information is limited concerning the cardiovascular and renal outcomes in this patient population. We studied 52 patients with APA in order to determine the pre-operative and post-operative factors predicting cardiovascular and renal outcomes.

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Article Synopsis
  • The study focuses on the role of reticulocyte hemoglobin content (RET-Y) in assessing iron status among hemodialysis patients, particularly its effectiveness compared to conventional iron indices.
  • Researchers analyzed data from 289 hemodialysis patients, categorizing them based on serum ferritin and transferrin saturation levels, and found that those with absolute iron deficiency had lower RET-Y values and mean corpuscular volume (MCV).
  • The findings suggest that while RET-Y levels were similar to those of the normal population, low RET-Y levels were significant in patients with iron deficiency and EPO independence, indicating a strong correlation between RET-Y and serum albumin levels in chronic hemodialysis patients.
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Aims: chronic inflammation contributes significantly to the morbidity and mortality of chronic hemodialysis patients. A recent research has shown that adipokines were associated with inflammation in these patients. We aim to investigate whether biomarkers of inflammation, adipokines, and clinical features can predict the outcome of hemodialysis patients.

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