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Makale Tam Makale Uluslararası 2024

Unveiling the significance of Gremlin-1 as a novel biomarker for enhanced severity prediction in COVID-19 patients

Muhammet Çelik, Erdal Tekin, Mehmet Nuri Koçak, Sevgi Karabulut Uzunçakmak, Mustafa Bayraktar

MEDICINE Cilt 103 · Sayı 41 · 11.10.2024
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Özet

Gremlin-1 is associated with lung disease and plays a role in the initiation and progression of pulmonary fibrosis. This suggests that Gremlin-1 may be associated with lung involvement in COVID-19 and poor clinical outcomes and warrants further investigation. This prospective, cross-sectional, single-blind study was the first to investigate Gremlin-1 levels in COVID-19 patients and whether Gremlin-1 levels could be used to predict and guide clinical follow-up in outpatients and inpatients. In this context, serum Gremlin-1 levels were measured and compared in 2 groups of patients who were diagnosed as positive for COVID-19 by RT-PCR and were followed up as outpatients (n = 28) or required hospitalization (n = 30). The median Gremlin-1 values were statistically significantly different between outpatients and intensive care unit patients (0.367 ng/mL [IQR = 0.377], 1.858 ng/mL [IQR = 2.245], respectively) (P < .0001). The area under the ROC curve value to determine the discriminative power of Gremlin-1 was found to be 0.772 (95% CI: 0.672-0.871; P < .0001), and the cutoff value of Gremlin-1 to discriminate between outpatients and hospitalized patients was found to be 1.242 ng/mL with 66.7% sensitivity and 67.2% specificity. Serum Gremlin-1 level is an important biomarker that can be used as a clinical decision-making tool for COVID-19 positive patients.

Anahtar kelimeler

COVID-19 Gremlin-1 PREDICTION decision making hospitalization outpatient

Atıf için künye

Çelik, M., Tekin, E., Koçak, M. N., Uzunçakmak, S. K., & Bayraktar, M. (2024). Unveiling the significance of Gremlin-1 as a novel biomarker for enhanced severity prediction in COVID-19 patients. MEDICINE, 103(41). https://doi.org/10.1097/md.0000000000040001

BibTeX
@article{celik2024-220581,
  author = {Çelik, Muhammet and Tekin, Erdal and Koçak, Mehmet Nuri and Uzunçakmak, Sevgi Karabulut and Bayraktar, Mustafa},
  title = {Unveiling the significance of Gremlin-1 as a novel biomarker for enhanced severity prediction in COVID-19 patients},
  journal = {MEDICINE},
  year = {2024},
  volume = {103},
  number = {41},
  issn = {0025-7974},
  doi = {10.1097/md.0000000000040001},
  url = {https://akademik.atauni.edu.tr/yayinlar/220581-unveiling-the-significance-of-gremlin-1-as-a-novel-biomarker-for-enhanced}
}