The role of ANDC early warning score in predicting prolonged hospitalization in SARS-Cov-2 infected patients

Ibrahim Altunok 1 * , Serdar Özdemir 1
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1 Department of Emergency Medicine, University of Health Sciences Umraniye Training and Research Hospital, Istanbul, Turkey
* Corresponding Author
J CLIN MED KAZ, Volume 19, Issue 6, pp. 51-55. https://doi.org/10.23950/jcmk/12687
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ABSTRACT

Aim: To evaluate the ability of the age, neutrophil-to-lymphocyte ratio, D-dimer, C-reactive protein (ANDC) score to predict prolonged hospitalization in SARS-CoV-2-infected patients.
Material and methods: This is a prospective and observational study conducted with patients hospitalized due to SARS-CoV-2 infection. The patients were divided into expected and prolonged hospitalization groups according to their length of hospital stay, and those who were hospitalized for seven days or longer were included in the prolonged hospitalization group. The receiver operating characteristic analysis was performed and the DeLong equality test was applied to compare the area under the curve values of the investigated parameters. Their odds ratios were also calculated.
Results: The study included a total of 397 patients. The median length of hospital stay was 8 days (25th-75th percentiles: 5-13). The univariant analysis revealed significant differences in the ANDC scores between the expected and prolonged hospitalization groups (101 (80.1-127) versus 114 (94.3-141), p<0.001, Mann-Whitney U test). The area under the curve value of the ANDC score in the prediction of prolonged hospitalization was 0.609 (75.91% sensitivity, 42.94% specificity, 62.3% positive predictive value, and 58.9% negative predictive value at a cut-off value of 93.5), and the odds ratio was 2.6.
Conclusion: Our results suggest that ANDC score is a predictor of prolonged hospitalization in SARS-CoV-2-infected patients. However, multicenter studies are needed to confirm our findings in larger samples.

CITATION

Altunok I, Özdemir S. The role of ANDC early warning score in predicting prolonged hospitalization in SARS-Cov-2 infected patients. J CLIN MED KAZ. 2022;19(6):51-5. https://doi.org/10.23950/jcmk/12687

REFERENCES

  • Eroğlu SE, Aksel G, Altunok İ, Özdemir S, Algın A, Akça HŞ, et al. Can Google® trends predict emergency department admissions in pandemic periods? Medicine Science. 2021; 10: 111-7. https://doi.org10.5455/medscience.2020.08.162
  • Miller IF, Becker AD, Grenfell BT, Metcalf CJE. Disease and healthcare burden of COVID-19 in the United States. Nat Med. 2020; 26: 1212-7. https://doi.org/10.1038/s41591-020-0952-y
  • Özdemir S, Akça HS, Algın A, Altunok İ, Eroğlu SE. Effectiveness of the rapid emergency medicine score and the rapid acute physiology score in prognosticating mortality in patients presenting to the emergency department with COVID-19 symptoms. Am J Emerg Med. 2021; 49: 259-64. https://doi.org/10.1016/j.ajem.2021.06.020
  • Akça HS, Algın A, Özdemir S, Sevimli H, Kokulu K, Eroğlu SE. Comparison of the efficacy of PSI, CURB-65, CALL and BCRSS in predicting prognosis and mortality in COVID-19 patients. J Exp Clin Med. 2021; 38: 434-43. https://doi.org/10.52142/omujecm.38.4.6
  • Özdemir S, Eroğlu SE, Algın A, Akça HŞ, Özkan A, Pala E, et al. Analysis of laboratory parameters in patients with COVID- 19: Experiences from a pandemic hospital. Ann Clin Anal Med. 2021; 12: 518-23. https://doi.org/10.4328/ACAM.20678
  • Weng Z, Chen Q, Li S, et al. ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019. J Transl Med. 2020; 31: 328. https://doi.org/10.1186/s12967-020-02505-7
  • Özkan A. Ideal predictor studies. J Exp Clin Med. 2022; 39: 595-6. https://doi.org/10.52142/omujecm.39.2.64
  • Akça HS. Prognosticating critical illness and an early warning score: ANDC. Maltepe Tıp Dergisi. 2022; 14: 30-1. https://doi.org/10.35514/mtd.2022.66
  • Das AK, Mishra S, Saraswathy Gopalan S. Predicting COVID-19 community mortality risk using machine learning and development of an online prognostic tool. Peer J. 2020; 8: 10083. https://doi.org/10.7717/peerj.10083
  • Goodacre S, Thomas B, Sutton L, et al. Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: the PRIEST observational cohort study. PLoS One. 2021; 16: 0245840. https://doi.org/10.1371/journal.pone.0245840
  • Kukreja, SL, Löfberg, J, Brenner MJ. A least absolute shrinkage and selection operator (LASSO) for nonlinear system identification. IFAC Proc. 2006; 39: 814-9. https://doi.org/10.3182/20060329-3-AU-2901.00128
  • Özdemir S, Algın A. Interpretation of the area under the receiver operating characteristic curve. Experimental and Applied Medical Science. 2022; 3: 310-311. https://doi.org/10.46871/eams.2022.35b
  • Bilge M, Akıllı IK, Karaayvaz EB, Yeşilova A, Kart Yaşar K. Comparison of systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized patients with malignancy, and their influence on mortality from COVID-19. Infect Agent Cancer. 2021; 16: 60. https://doi.org/10.1186/s13027-021-00400-4