Prognostic value of neutrophil-to-lymphocyte ratio, lactate dehydrogenase, D-dimer and CT score in patients with COVID-19

Abstract Background To explore the significance of neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), D-dimer and CT score in evaluating the severity and prognosis of coronavirus disease – 2019 (COVID-19). Methods Patients with laboratory confirmed COVID-19 were retrospectively enrolled. The baseline data, laboratory findings, chest computed tomography (CT) results evaluating by CT score on admission, and clinical outcomes were collected and compared. The logistic regression was used to assess the independent relationship between the baseline level of four indicators (NLR, LDH, D-dimer, CT score) and the severity of COVID-19. Results Among 432 patients, 125 (28.94%) cases were divided into severe group, the remaining (n = 307, 71.06%) were in non-severe group. In multivariate logistic regression, high level of NLR, LDH were independent predictor of the severe group in COVID-19 (OR = 2.163; 95%CI = 1.162–4.026; p = 0.015 for NLR > 3.82; OR = 2.298; 95%CI = 1.327–3.979; p = 0.003 for LDH > 246U/L). Combining NLR > 3.82 and LDH > 246U/L increased the sensitivity of diagnosis in severe patients (NLR > 3.82 [50.40%] vs. Combined diagnosis [72.80%]; p = 0.0007; LDH > 246 [59.2%] vs. Combined diagnosis [72.80%]; p < 0.0001). Conclusions High levels of NLR and LDH in serum have potential value in the early identification of severe patients with COVID-19. The combination of LDH and NLR can improve the sensitivity of diagnosis..

Medienart:

Preprint

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

ResearchSquare.com - (2020) vom: 30. Juni Zur Gesamtaufnahme - year:2020

Sprache:

Englisch

Beteiligte Personen:

Cai, Yu-Qing [VerfasserIn]
Zeng, Hui-Qing [VerfasserIn]
Zhang, Xiao-Bin [VerfasserIn]
Wei, Xiao-Jie [VerfasserIn]
Hu, Lan [VerfasserIn]
Zhang, Zhen-Yu [VerfasserIn]
Ming, Quan [VerfasserIn]
Peng, Qiu-Ping [VerfasserIn]
Chen, Li-Da [VerfasserIn]

Links:

Volltext [kostenfrei]

doi:

10.21203/rs.3.rs-38585/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA033558515