Sathya Selvarajan
MGM Healthcare

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Analysis of bone mineral profile and TSH in early non-dialysis stages of chronic kidney disease - a retrospective cross-sectional study Immaculate Rithika Rajan; Karthick Elango; Sathya Selvarajan
JURNAL INDONESIA DARI ILMU LABORATORIUM MEDIS DAN TEKNOLOGI Vol 6 No 2 (2024): Promising and Valuable Research Towards Diagnosis, Prognosis and Treatment of Dis
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ijmlst.v6i2.5864

Abstract

The objective of this study is to analyse the levels of Thyroid stimulating hormone (TSH) and the Bone Mineral Profile (Vitamin D, Parathyroid hormone (PTH), calcium, phosphorus, magnesium, and alkaline phosphatase [ALP]) levels in the early stages of chronic kidney disease (CKD) based on Glomerular filtration rate (GFR). A retrospective analysis was conducted involving 247 CKD patients admitted to the nephrology department at Sri Ramachandra Medical College Hospital from January to June 2022. The estimated GFR (eGFR) was calculated utilizing the CKD-EPI formula provided by the National Kidney Foundation. All biomarkers were analysed using automated platforms. The baseline ages for the three groups were 52.5, 68, and 66.5 years respectively (p<0.001). The comparative analysis revealed statistically significant differences solely among Vitamin D, creatinine, PTH, and phosphorus across the three groups. Further correlation analysis demonstrated changes in bore significant correlations with only creatinine, vitamin D, and PTH. This study concludes that in the early stages of CKD, vitamin D followed by PTH appears to be the earliest biomarker for assessing CKD-Mineral and Bone Disorder (CKD-MBD) occurring prior to any alterations in calcium and phosphate levels. As such, early consideration of supplementation may prove beneficial in mitigating disease progression and preventing cardiovascular complications.
Significance of serum protein electrophoresis in diagnosing multiple myeloma: A retrospective study at a tertiary care centre Shrinidhi Sundar; Swetha Raghavendra Prasad; Dhivya Senthil Kumar; Sathya Selvarajan; Sowmya Krishnamurthy; Sridharan Kopula Sathyamurthy
JURNAL INDONESIA DARI ILMU LABORATORIUM MEDIS DAN TEKNOLOGI Vol 7 No 1 (2025): Advances in Biomarkers, Therapeutics, and Probiotics: Recent Updates in Medical L
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ijmlst.v7i1.6712

Abstract

Multiple myeloma (MM) is a hematologic malignancy characterized by uncontrolled plasma cell proliferation in the bone marrow, initially asymptomatic, often causing symptoms like bone pain, anemia, renal dysfunction, and increased infection susceptibility. The study investigates the clinical significance of inconsistencies in albumin measurement methods in multiple myeloma patients, focusing on serum protein electrophoresis (SPEP) and the bromocresol green (BCG) assay. A comparative analysis was conducted to evaluate the differences between albumin levels measured by SPEP and BCG, exploring how these variations relate to disease severity and treatment decisions in MM patients. According to the results, SPEP albumin levels were significantly higher than BCG albumin levels in MM patients (p <0.001). This difference is clinically significant, as lower BCG albumin readings could overestimate disease severity, potentially leading to misclassification and affecting treatment decisions. Accurate albumin measurement is crucial for proper staging and prognosis in multiple myeloma. In conclusion, this highlights the need to integrate SPEP and biochemical markers for more precise diagnosis and timely intervention. While SPEP is essential for diagnosing MM and monitoring M-protein (also known as monoclonal immunoglobulin or paraprotein), the BCG method remains useful for staging and prognosis. Standardizing laboratory protocols and exploring novel biomarkers could improve MM diagnosis, ensuring more accurate disease classification and better patient management. Further research is needed to assess the long-term impact of these discrepancies on treatment outcomes and survival rates.