Prognostic role of simple inflammatory biomarkers in patients with severe COVID-19: an observational study

被引:0
|
作者
Ntalouka, M. P. [1 ,6 ]
Pantazopoulos, I [2 ,3 ]
Brotis, A. G. [4 ]
Pagonis, A. [3 ]
Vatsiou, I [1 ]
Chatzis, A. [1 ]
Rarras, C. N. [1 ]
Kotsi, P. [5 ]
Gourgoulianis, K., I [3 ]
Arnaoutoglou, E. M. [1 ]
机构
[1] Univ Thessaly, Dept Anesthesiol, Larisa, Greece
[2] Univ Thessaly, Dept Emergency Med, Larisa, Greece
[3] Univ Thessaly, Dept Resp Med, Larisa, Greece
[4] Univ Thessaly, Dept Neurosurg, Larisa, Greece
[5] Univ Thessaly, Univ Hosp Larissa, Dept Transfus Med, Sch Hlth Sci,Fac Med, Larisa, Greece
[6] Univ Hosp Larissa, Dept Anesthesiol, C Wing, 2nd Floor, Mezourlo, POB 1425, Larisa 41110, Thessaly, Greece
关键词
Biomarkers; C-reactive protein; Coronavirus disease 2019; COVID-19; lymphocyte subsets; prognosis; severe acute respiratory syndrome coronavirus 2; SARS-CoV-2; obesity; length of hospitalization; TO-LYMPHOCYTE RATIO; DISEASE SEVERITY; PREDICT;
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中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background/aim: Simple inflammatory biomarkers, such as neutrophil to lymphocyte ratio (NLR), could serve as prognosis indicators in patients with Coronavirus disease 2019 (COVID-19). The utility of on-admission inflammatory biomarkers in predicting outcomes was investigated in patients suffering from severe COVID-19 infection. Methods: We performed a retrospective study to assess the role of white blood count (WBC), neutrophils (N), lymphocyte (L), platelets (PLTs), C-reactive protein (CRP), reverse transcription polymerase chain reaction (RT-PCR), NLR (N/L), PLR (P/L), dv (derived variation of)-NLR (N/WBC-L), LNR (L/N), dv (derived variation of)-LNR (L/WBC-N), and CLR (CRP/L), in predicting the need for high-flow nasal cannula (HFNC) use, admission to Intensive Care Unit (ICU), and death in adult patients with severe COVID-19 admitted to the Department of Respiratory Medicine from April to September 2021. Results: One hundred and fifteen patients (60 % males) with a mean age of 57.7 +/- 16.3 years were included. Thirty-seven patients (32.2 %) required escalation with HFNC, eight patients (7 %) were admitted to the ICU, and nine patients (7.8%) died. Based on univariate analysis, CRP [odds ratio (OR): 1.25, 95 % confidence interval (CI): 1.1-1.42), LNR (OR: 0.015, 95 % CI: 0.00-0.35), dv-NLR (OR: 5*10(6), 95 % CI: 26.7-9*10(9)), CLR (OR: 7*10(58), 95 % CI: 3*10(25)-2*10(92)), length of hospitalization (LOH; OR: 1.44, 95 % CI: 1.22-1.63), dyspnea at presentation (OR: 2.83, 95 % CI: 1.23-6.52), and ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO(2)) on admission (OR: 0.967, 95 % CI: 0.952-0.983) were independent predictors for oxygen requirements. However, the multivariate analysis showed that LNR (OR: 1.686e0(-4), 95 % CI: 6.441e00(-8)-0.441), PaO2/FiO(2) on admission (OR: 0.965, 95 % CI: 0.941-0.989), and LOH (OR: 1.717, 95 % CI: 1.274-2.314) were the most important predictor for HFNC use. Nasal congestion at presentation (OR: 11.5, 95 % CI: 1.61-82.8) was a unique and independent predictor for ICU admission. As far as death is concerned, the univariate analysis identified elevated CRP (OR: 1.11, 95 % CI: 1.0-1.24), low RT-PCR (OR: 0.829, 95 % CI: 0.688-0.999), high CLR (OR: 3.2*10(33), 95 % CI: 5.8-1.8*10(66)), age (OR: 1.08, 95 % CI: 1.02-1.14), body mass index (BMI) over 30 (OR: 5.25, 95 % CI: 1.26-21.96), the chronic use of angiotensin-converting enzyme inhibitors (OR: 5.72, 95 % CI: 1.35-24.09), nitrates (OR: 14.85, 95 % CI: 1.81-121.8), diuretics (OR: 8.21, 95 % CI: 1.97-34.32), PaO2/FiO(2) on admission (OR: 0.983, 95 % CI: 0.970-0.998), and nasal congestion at presentation (OR: 9.81, 95 % CI: 1.40-68.68) as independent predictors. However, the multivariate analysis pinpointed that obesity (BMI >30) (OR: 10.498, 95 % CI: 1.107-99.572) remained the most important predictor for death. Conclusion: LNR and PaO2/FiO(2) on admission could be used to timely identify patients requiring HFNC during hospitalization, while obesity (BMI >30) could be an independent predictor of death. Nasal congestion emerges as a unique predictor for ICU admission.
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页码:70 / 77
页数:8
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