Eleventi Oktarina Putri, Antoni Aldo Danendra Sawal, Muhammad Ihza Lisan Shidqi, Yanti Sunaidi

Analisis Retrospektif Hasil Pemeriksaan Tiroid (TSH dan FT4) dengan Metode ELFA di RSUD Dr. Doris Sylvanus Palangka Raya

Introduction

Analisis retrospektif hasil pemeriksaan tiroid (tsh dan ft4) dengan metode elfa di rsud dr. Doris sylvanus palangka raya . Analisis retrospektif data tiroid (TSH, FT4) metode ELFA di RSUD Palangka Raya memvalidasi akurasi diagnostik untuk pola hipertiroidisme, relevan studi epidemiologi.

Abstract

Thyroid disorders are among the most prevalent endocrine conditions globally, demanding precise diagnostic methodologies for effective management. Epidemiological data on thyroid disorders in Kalimantan is still limited. This study aims to re-analyze retrospective data on .thyroid stimulating hormone (TSH) and free thyroxine (FT4) levels measured using the Enzyme Linked Fluorescent Assay (ELFA) method in 2017 at RSUD Dr. Doris Sylvanus Palangka Raya, evaluate them with the latest guidelines, and validate the ELFA method.  Data from 87 patients with suspected thyroid dysfunction were subjected to descriptive statistics, Chi-square tests, Spearman's correlation, and Receiver Operating Characteristic (ROC) curve analysis. Patients were predominantly female (n=67, 77%). Hormone distribution showed a tendency towards hyperthyroidism, with 48.3% (n=42) of patients having low TSH and 27.6% (n=24) having high FT4. Statistical analysis showed no significant association between gender and TSH (χ² = 1.277, df = 2, p = 0.528) or FT4 (χ² = 3.240, df = 2, p = 0.198) levels. However, a very strong and significant physiological relationship was found between TSH and FT4 levels, both categorically (χ² = 24.576, df = 4, p < 0.001) and correlationally (r = -0.503, p < 0.001). ROC analysis proved that the ELFA method has very good diagnostic accuracy with an Area Under Curve (AUC) of 0.915 (95% CI: 0.835–0.995, p < 0.001). The profile of thyroid disorders in this region is dominated by a hyperthyroidism pattern, and historical data from the ELFA method has been proven to remain valid and clinically relevant for epidemiological studies. These findings affirm that data generated by ELFA technology in 2017 remains robust and clinically valid when interpreted through the lens of modern guidelines. The study underscores the value of simultaneous TSH-FT4 testing and supports the sustained utility of older, yet reliable, immunoassay technologies, particularly in resource-limited settings, contributing to longitudinal epidemiological understanding of thyroid disorders in the region.

Review

This study, "Analisis Retrospektif Hasil Pemeriksaan Tiroid (TSH dan FT4) dengan Metode ELFA di RSUD Dr. Doris Sylvanus Palangka Raya," addresses a pertinent gap in epidemiological data concerning thyroid disorders in Kalimantan. The authors' objective to retrospectively re-analyze historical TSH and FT4 data from 2017, evaluate it against contemporary guidelines, and validate the Enzyme Linked Fluorescent Assay (ELFA) method is commendable. This approach effectively leverages existing institutional data, providing valuable insights into regional disease patterns while simultaneously assessing the sustained diagnostic relevance of an established technology. The focus on a resource-limited setting further enhances the study's practical significance, affirming the longevity and utility of robust diagnostic methods. Analyzing data from 87 predominantly female patients, the study identified a notable tendency towards hyperthyroidism within the cohort, characterized by low TSH and high FT4 levels. Crucially, a strong and significant inverse physiological relationship between TSH and FT4 was robustly confirmed. A major strength lies in the successful validation of the ELFA method, demonstrating excellent diagnostic accuracy with an impressive Area Under Curve (AUC) of 0.915. These findings not only provide a preliminary epidemiological profile of thyroid disorders in the region, highlighting a predominance of hyperthyroidism, but also emphatically affirm that data generated by ELFA technology from 2017 remains clinically relevant and robust for ongoing epidemiological surveillance, particularly underscoring the value of simultaneous TSH-FT4 testing. While the study provides valuable regional insights and a robust validation of the ELFA method, certain aspects warrant consideration for future research. The retrospective, single-center design, while a pragmatic approach for utilizing historical data, inherently limits the broader generalizability of the epidemiological findings to the entire Kalimantan region. Future investigations could benefit from larger, multi-center datasets and an exploration into the specific etiologies underlying the observed hyperthyroidism pattern, which would significantly enrich the epidemiological understanding. Additionally, although the abstract mentions evaluating data with "latest guidelines," a more explicit detailing in the full paper of *how* these guidelines were applied and what specific implications or congruencies were found would further enhance the study's impact. Nevertheless, this research represents a significant contribution to characterizing regional thyroid disorder prevalence and validating a cost-effective diagnostic method, laying a strong foundation for more comprehensive epidemiological and clinical investigations.

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