Literature DB >> 33281114

Decrease in hemoglobin level predicts increased risk for severe respiratory failure in COVID-19 patients with pneumonia.

Moriyasu Anai1, Kimitaka Akaike2, Hajime Iwagoe3, Takefumi Akasaka4, Takushi Higuchi5, Aoi Miyazaki1, Daiki Naito1, Yuka Tajima1, Hiroshi Takahashi6, Taiyo Komatsu1, Aiko Masunaga1, Hiroto Kishi6, Kazuhiko Fujii6, Koichiro Fukuda6, Yusuke Tomita7, Sho Saeki7, Hidenori Ichiyasu7, Takuro Sakagami7.   

Abstract

BACKGROUND: In December 2019, the coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), emerged in Wuhan, China, and has since spread throughout the world. This study aimed to investigate the association between the change in laboratory markers during the three days after pneumonia diagnosis and severe respiratory failure in COVID-19 patients.
METHODS: Data of 23 COVID-19 patients with pneumonia, admitted to the Kumamoto City Hospital between February and April 2020 were retrospectively analyzed.
RESULTS: Among the 23 patients, eight patients received mechanical ventilation (MV) (MV group), and the remaining 15 comprised the non-MV group. The levels of hemoglobin (Hb) and albumin (Alb) decreased in the MV group during the three days after pneumonia diagnosis more than in the non-MV group (median Hb: 1.40 vs. -0.10 g/dL, P = 0.015; median Alb: 0.85 vs. -0.30 g/dL, P = 0.020). Univariate logistic regression analysis showed that the decrease in Hb was associated with receiving MV care (odds ratio: 0.313, 95% confidence interval: 0.100-0.976, P = 0.045). Receiver operating characteristic curve analyses showed that the optimal cut-off value for the decrease in Hb level was -1.25 g/dL, with sensitivity and specificity values of 0.867 and 0.750, respectively.
CONCLUSIONS: The decrease in Hb level during the short period after pneumonia diagnosis might be a predictor of worsening pneumonia in COVID-19 patients.
Copyright © 2020 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Albumin; Coronavirus disease 2019; Hemoglobin; Intermittent positive pressure ventilation; Severe acute respiratory syndrome coronavirus-2

Year:  2020        PMID: 33281114      PMCID: PMC7682330          DOI: 10.1016/j.resinv.2020.10.009

Source DB:  PubMed          Journal:  Respir Investig        ISSN: 2212-5345


Introduction

In December 2019, a previously unknown infectious disease was identified in Wuhan, China, rapidly spreading to the rest of the world. This new pathogen was a positive-sense, enveloped, non-segmented RNA virus, belonging to the genus Betacoronavirus. This genus includes the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV). The new virus was named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses [1]. This coronavirus disease 2019 (COVID-19) was declared a public health emergency of international concern by the World Health Organization [2]. Studies have shown that most COVID-19 patients present with mild disease symptoms such as fever, cough, sputum production, myalgia, and fatigue [3,4]. However, 12.2–29.0% of patients develop pneumonia and acute respiratory distress syndrome (ARDS) [4,5]. Thus, there is a need to explore risk factors that could predict which patients would require mechanical ventilation (MV). The treatment strategies for these patients should be distinct from mild COVID-19 patients. Several retrospective reports on COVID-19 patients showed which laboratory factors at the time of hospitalization were associated with being admitted to the intensive care unit (ICU). These factors included elevated white blood cell (WBC) count, neutrophil count, D-dimer, alanine aminotransferase (AST), total bilirubin, lactate dehydrogenase (LDH), interleukin-6 (IL-6), C-reactive protein (CRP), and procalcitonin (PCT); and decreased levels of leukocytes and albumin (Alb) [4,6]. However, the clinical impact of change in laboratory factors after pneumonia diagnosis in COVID-19 patients remains unclear. Therefore, we conducted a retrospective study to investigate the clinical significance of the change in laboratory factors during a three-day period after pneumonia diagnosis in COVID-19 patients, comparing those who received MV care with those who did not.

Patients and methods

Patients

Between February 1 and April 31, 2020, 40 consecutive COVID-19 patients were diagnosed and admitted to the Kumamoto City Hospital. Among these, 25 patients developed pneumonia, which was confirmed by computed tomography (CT). After excluding two patients who were lost to follow-up within a week from pneumonia diagnosis because they were transferred to another hospital, the remaining 23 patients were included in this study. The COVID-19 pneumonia was diagnosed following a published pictorial review [7]. All CT images were evaluated by two independent pulmonologists (M.A. and K.A.). The following baseline and clinical data were retrospectively reviewed in the included patients: age, sex, smoking status, clinical history, Body Mass Index (BMI), and laboratory and CT imaging findings. The institutional review board of the Kumamoto City Hospital approved this study (IRB-number 560). Because of its retrospective nature, there was no need for informed consent in this study.

Standards for introduction of intubation and MV

In severe respiratory failure cases that needed more than 5 L/min oxygen flow through a face mask, intubation and MV was considered. After intubation, the mechanical ventilator was set to positive end-expiratory pressure of more than 10 cmH2O. Non-invasive positive pressure ventilation was not considered in order to avoid potential promotion of aerosolization containing the SARS-CoV-2.

Outcome measure and statistical analysis

The primary outcome was identifying laboratory measures with significant change during a median of three days from pneumonia diagnosis. These values were compared between COVID-19 patients treated with MV (MV group) and those who were not (non-MV group). Fisher's exact test and Mann-Whitney U test were used to compare the clinical values between the two patient groups. Univariate logistic regression analysis was performed to evaluate the association between the laboratory variables and MV treatment. In addition, a receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off value for predicting the introduction of MV care. All analyses were two-tailed, and differences with a P-value < 0.05 were considered statistically significant. Statistical analysis was performed using the SPSS software (version 23.0; IBM, Armonk, NY, USA).

Results

Patient characteristics

The characteristics and laboratory findings of the 23 COVID-19 patients at the time of pneumonia diagnosis are shown in Table 1, Table 2 , respectively. Eight of the 23 patients were treated by MV during hospitalization (MV group), while the remaining 15 patients were not (non-MV group). These groups were similar in age, sex, smoking status, clinical history, CT finding of pneumonia, the levels of WBC, neutrophils, lymphocyte, hemoglobin (Hb), Krebs von den Lungen-6, soluble interleukin-2 receptor (sIL-2R), blood urea nitrogen (BUN), and Alb. Platelets (Plt) level in the MV group was significantly lower than in the non-MV group (11.45 × 105/μL vs. 17.0 × 105/μL; P = 0.020). Additionally, the median level of the following measures was higher in the MV group: BMI, 27.16 kg/m2 vs. 23.12 kg/m2, P = 0.037; CRP, 7.54 mg/dL vs. 2.55 mg/dL, P = 0.028; LDH, 383.0 U/L vs. 240.0 U/L, P = 0.008; ferritin, 1534.0 ng/mL vs. 452.0 ng/mL, P = 0.009; PCT, 0.11 ng/mL vs. 0.06 ng/mL, P = 0.035; creatinine (Cr), 0.97 mg/dL vs. 0.74 mg/dL, P = 0.035; AST, 47.5 U/L vs. 24.0 U/L, P = 0.011; ALT, 41.5 U/L vs. 20.0 U/L, P = 0.035; D-dimer, 1.6 μg/mL vs. 1.0 μg/mL, P = 0.038. Regarding treatment strategies, there was no significant difference in the administration of antiviral agents such as lopinavir/ritonavir and favipiravir between the MV and non-MV groups, although the proportion of patients receiving corticosteroid and antibiotics therapy were significantly higher in the MV than the non-MV group (corticosteroid, 75.0% vs. 26.7%, P = 0.037; antibiotics, 100.0% vs. 53.3%, P = 0.026).
Table 1

Patient characteristics.

MV group (N = 8)non-MV group (N = 15)P- value
N%N%
Age, yearsMedian (range)67 (29–79)61 (23–83)
≥60562.5853.30.510
<60327.5746.7
SexMale675.0853.30.290
Female225.0746.7
Smoking statusYes337.5640.00.633
No562.5960.0
Clinical history
 DMYes562.5426.70.110
No337.51173.3
 HTYes112.516.70.585
No787.51493.3
BMI, kg/m2Median (range)27.16 (22.57–39.52)23.12 (19.13–30.67)
≥25675.0426.70.037
<25225.01173.3
CT findingsboth lungs8100.01493.30.652
One lung00.016.7
GGO450.0533.30.367
Others450.01066.7
Treatments
IntravenousAntibioticsYes8100.0853.30.026
No00.0746.7
LPV/RTVYes225.0213.30.435
No675.01386.7
FavipiravirYes787.51386.70.606
No112.5213.3
SystemicCorticosteroidsYes675.0426.70.037
No225.01173.3

MV; mechanical ventilation, DM; diabetes mellitus, HT; hypertension, BMI; body mass index, CT; computed tomography, GGO; ground grass opacity, LPV/RTV; lopinavir/ritonavir.

Table 2

Patient laboratory findings at pneumonia diagnosis.

MV group (N = 8)non-MV group(N = 15)P- value
WBC,/μLMedian (range)4850.0(2900.0–9900.0)4500.0(2300.0–8200.0)0.418
Neut,/μLMedian (range)3638.2(2130.0–9434.7)3066.0(1150.0–4544.1)0.302
Lymph,/μLMedian (range)768.0(366.3–1702.4)959.1(423.3–3632.6)0.333
Hb, g/dLMedian (range)15.05(11.8–16.9)15.3(11.5–17.4)0.923
Plt, × 105/μLMedian (range)11.45(9.7–16.9)17.0(5.0–25.2)0.020
CRP, mg/dLMedian (range)7.54(0.95–34.43)2.55(0.05–7.94)0.028
LDH, U/LMedian (range)383.0(217–782)240.0(154–824)0.008
KL-6a, U/mLMedian (range)337.0(212–520)230.5(151–729)0.351
Ferritinb, ng/mLMedian (range)1534.0(635.1–3070.0)452.0(186.3–1134)0.009
sIL-2Rc, U/mLMedian (range)465.0(354.9–1648.0)772.0(410–1155)0.855
PCT, ng/mLMedian (range)0.11(0.09–0.89)0.06(0.02–1.06)0.035
BUN, mg/dLMedian (range)15.85(6.4–28)12.70(6.6–71.7)0.333
Cr, mg/dLMedian (range)0.97(0.74–1.37)0.74(0.51–1.34)0.018
AST, U/LMedian (range)47.5(25–213)24(16–145)0.011
ALT, U/LMedian (range)41.5(19–267)20(12–55)0.030
Alb, g/dLMedian (range)3.6(2.9–4.4)3.9(2.8–4.8)0.419
D-dimer, μg/mLMedian (range)1.6(0.9–2.5)1.0(0.7–2.9)0.038

MV; mechanical ventilation, WBC; white blood cells, Neut; neutrophils, Lymph; lymphocytes, Hb; hemoglobin, Plt; platelets, CRP; C-reactive protein, LDH; lactase dehydrogenase, KL-6; Krebs von den Lungen-6, sIL-2R; soluble interleukin-2 receptor, PCT; procalcitonin, BUN; blood urea nitrogen, Cr; creatinine, AST; aspartate aminotransferase, ALT; alanine aminotransferase, Alb; albumin.

Two patients were not evaluated for KL-6.

Nine patients were not evaluated for ferritin.

Twelve patients were not evaluated for sIL-2R.

Patient characteristics. MV; mechanical ventilation, DM; diabetes mellitus, HT; hypertension, BMI; body mass index, CT; computed tomography, GGO; ground grass opacity, LPV/RTV; lopinavir/ritonavir. Patient laboratory findings at pneumonia diagnosis. MV; mechanical ventilation, WBC; white blood cells, Neut; neutrophils, Lymph; lymphocytes, Hb; hemoglobin, Plt; platelets, CRP; C-reactive protein, LDH; lactase dehydrogenase, KL-6; Krebs von den Lungen-6, sIL-2R; soluble interleukin-2 receptor, PCT; procalcitonin, BUN; blood urea nitrogen, Cr; creatinine, AST; aspartate aminotransferase, ALT; alanine aminotransferase, Alb; albumin. Two patients were not evaluated for KL-6. Nine patients were not evaluated for ferritin. Twelve patients were not evaluated for sIL-2R.

Time to initiation of MV care in the MV group

The median follow-up was 33 days (range: 16–102 days). In the MV group, the median days from the onset of illness and pneumonia diagnosis to the initiation of MV were nine days (range 5–26 days; Fig. 1A) and six days (range 0–20 days; Fig. 1 B), respectively. One patient received high-flow nasal cannula oxygen therapy before the introduction of MV, so the decision regarding intubation and MV was made only 26 and 20 days from the onset of illness and pneumonia diagnosis, respectively.
Fig. 1

The time from onset of illness to MV initiation (A), and the diagnosis of pneumonia (B). MV, mechanical ventilation.

The time from onset of illness to MV initiation (A), and the diagnosis of pneumonia (B). MV, mechanical ventilation.

Clinical factors associated with receiving MV care during hospitalization

Table 3 presents comparisons of the rate of change in laboratory factors during the few days after pneumonia diagnosis between the MV and non-MV groups. The groups did not differ in the time between pneumonia diagnosis and the second evaluation [median days (range): 3 days (3–3) vs. 3 days (2–4), P = 1.000]. Over this short period, the levels of Hb and Alb in the MV group were significantly lower than in the non-MV group (median Hb change, −1.4 g/dL vs. −0.1 g/dL, P = 0.015, Fig. 2 A; median Alb change, −0.85 g/dL vs. −0.3 g/dL, P = 0.020, Fig. 2B). Additionally, there were 7 and 1 patients with increased Hb and Alb levels in the non-MV group, respectively. However, there were no patients with increased Hb and Alb levels in the MV group (Table S1, Supplementary Information). The groups were similar with regards to change in the other laboratory parameters including WBC, neutrophils, lymphocyte, Plt, CRP, LDH, PCT, BUN, Cr, AST, ALT, and D-dimer.
Table 3

Rate of change in laboratory factors during the few days after pneumonia diagnosis between the MV and non-MV groups.

MV group (N = 8)non-MV group (N = 15)P- value
WBC,/μLMedian (range)1000.0(-3100.0–6700.0)200.0(-2700.0–2800.0)0.349
 Neut,/μLMedian (range)890.2(-2141.8–6435.1)73.0(-1548.9–3350.6)0.197
 Lymph,/μLMedian (range)−108.2(-836.0–752.5)−148.8(-2263.1–670.8)0.849
Hb, g/dLMedian (range)−1.4(-3.5 to −0.0)−0.1(-2.0 – 1.7)0.015
Plt, × 105/μLMedian (range)1.05(-3.8 – 5.1)1.80(-2.8 – 5.3)0.821
CRP, mg/dLMedian (range)0.335(-17.95 to −8.88)0.17(-1.13 – 8.35)0.651
LDH, U/LMedian (range)101.5(-167.0–130.0)28.0(-28.0–98.0)0.401
PCT, ng/mLMedian (range)0.000(-0.05 – 0.21)-3−0.015(-0.1 – 0.06)-70.508
BUN, mg/dLMedian (range)0.05(-8.3 – 40.0)0.60(-16.8–5.7)0.771
Cr, mg/dLMedian (range)0.00(-0.26 – 0.71)0.01(-0.29 – 0.37)0.974
AST, U/LMedian (range)6.5(-92.0–64.0)2.0(-57.0–21.0)0.561
ALT, U/LMedian (range)0.5(-113.0–37.0)1.0(-4.0 – 16.0)0.846
Alb, g/dLMedian (range)−0.85(-1.1 to −0.4)−0.3(-0.8 – 0.4)0.020
D-dimer, μg/mLMedian (range)0.5(-0.1 – 5.2)0.3(-0.2 – 4.5)0.672

MV; mechanical ventilation, WBC; white blood cells, Neut; neutrophils, Lymph; lymphocytes, Hb; hemoglobin, Plt; platelets, CRP; C-reactive protein, LDH; lactase dehydrogenase, KL-6; Krebs von den Lungen-6, sIL-2R; soluble interleukin-2 receptor, PCT; procalcitonin, BUN; blood urea nitrogen, Cr; creatinine, AST; aspartate aminotransferase, ALT; alanine aminotransferase, Alb; albumin.

Fig. 2

Association between MV care and the change in Hb (A) and Alb (B) levels over the short period after the diagnosis of pneumonia. MV; mechanical ventilation, Hb; hemoglobin, Alb; albumin.

Rate of change in laboratory factors during the few days after pneumonia diagnosis between the MV and non-MV groups. MV; mechanical ventilation, WBC; white blood cells, Neut; neutrophils, Lymph; lymphocytes, Hb; hemoglobin, Plt; platelets, CRP; C-reactive protein, LDH; lactase dehydrogenase, KL-6; Krebs von den Lungen-6, sIL-2R; soluble interleukin-2 receptor, PCT; procalcitonin, BUN; blood urea nitrogen, Cr; creatinine, AST; aspartate aminotransferase, ALT; alanine aminotransferase, Alb; albumin. Association between MV care and the change in Hb (A) and Alb (B) levels over the short period after the diagnosis of pneumonia. MV; mechanical ventilation, Hb; hemoglobin, Alb; albumin.

Univariate logistic regression analyses and ROC curve for receiving MV care during hospitalization

Univariate logistic regression analyses were used to assess the association between laboratory factors and receiving MV care during hospitalization. Results show that the rate of change in Hb level was the only parameter evaluated during the short period after pneumonia diagnosis that was significantly associated with receiving MV care (odds ratio: 0.313, 95% confidence interval [CI]: 0.100–0.976, P = 0.045; Table 4 ). The ROC curve analysis and the area under the ROC curve (AUC) were used to identify the optimal cut-off value in Hb level change during the first few days after pneumonia diagnosis for predicting who would require MV care during hospitalization. The results show that the AUC was 0.813 (95% CI: 0.629–0.996, P = 0.015). The optimal cut-off value for Hb level change was −1.25 g/dL (Fig. 3 ), and the sensitivity and specificity values were 0.867 and 0.750, respectively.
Table 4

Univariate logistic regression analysis for rate of change in laboratory factors during the few days after pneumonia diagnosis between the MV and non-MV groups.

ReferenceOdds rates95% CIP-value
WBC,/μLContinuous variable1.000(1.000–1.001)0.288
Lymph,/μLContinuous variable1.000(0.999–1.002)0.825
Hb, g/dLContinuous variable0.313(0.100–0.976)0.045
Plt, × 105/μLContinuous variable0.939(0.677–1.302)0.706
CRP, mg/dLContinuous variable0.932(0.784–1.108)0.428
LDH, U/LContinuous variable1.002(0.989–1.015)0.783
PCT, ng/mLContinuous variable3.914 × 104(0.000–1.671 × 1013)0.297
Alb, g/dLContinuous variable0.475(0.103–2.187)0.339
D-dimer, μg/mLContinuous variable1.073(0.601–1.915)0.812

MV; mechanical ventilation, 95% CI; 95% confidence interval, WBC; white blood cells, Lymph; lymphocytes, Hb; hemoglobin, Plt; platelets, CRP; C-reactive protein, LDH; lactase dehydrogenase, PCT; procalcitonin, Alb; albumin.

Fig. 3

ROC curve for the change in Hb as a predictor for receiving MV care. The AUC was 0.813 (95% CI: 0.629–0.996) and the optimal cut-off value for predicting receiving MV care was −1.25 (sensitivity 86.7%; specificity 75.0%). ROC; receiver operating characteristic, AUC; area under the curve, CI; confidence interval, MV; mechanical ventilation.

Univariate logistic regression analysis for rate of change in laboratory factors during the few days after pneumonia diagnosis between the MV and non-MV groups. MV; mechanical ventilation, 95% CI; 95% confidence interval, WBC; white blood cells, Lymph; lymphocytes, Hb; hemoglobin, Plt; platelets, CRP; C-reactive protein, LDH; lactase dehydrogenase, PCT; procalcitonin, Alb; albumin. ROC curve for the change in Hb as a predictor for receiving MV care. The AUC was 0.813 (95% CI: 0.629–0.996) and the optimal cut-off value for predicting receiving MV care was −1.25 (sensitivity 86.7%; specificity 75.0%). ROC; receiver operating characteristic, AUC; area under the curve, CI; confidence interval, MV; mechanical ventilation.

Discussion

In December 2019, new viral pneumonia had emerged in Wuhan, China, and has since spread across the globe. The cause of the disease, named COVID-19, is the SARS-CoV-2, a member of the Betacoronavirus genus [1]. The treatment strategies include antiviral agents such as remdesivir and favipiravir [8,9], and immunosuppression therapies with corticosteroids such as dexamethasone and methylprednisolone, and interleukin-6 receptor (IL-6R) antagonist such as tocilizumab, for patients with advanced disease [10,11]. However, these and other therapies are still in the developmental stage. Several studies have reported that the mortality rate of COVID-19 pneumonia ranges from 4.3% to 14.6% [4,12,13]. Additionally, Richardson et al. reported that 12.2% of COVID-19 patients received MV care, and that the mortality rate among these patients during hospitalization was as high as 88.1% [5]. Thus, there is a need to identify risk factors that could predict the need to administer MV care in COVID-19 patients. Several studies have reported that some laboratory parameters at the time of hospitalization were associated with mortality and severe disease that required MV care and admission into the ICU [3,4,14]. Some laboratory findings in the current study were similar to those reported in the abovementioned studies. These included elevated levels of CRP, LDH, PCT, AST, and D-dimer, and a decreased Plt level. To the best of our knowledge, this is the first report to investigate the association between the rate of change in laboratory parameters over the first few days since pneumonia diagnosis in COVID-19 patients and their need to receive MV care. This study shows that Hb level change in the days after pneumonia diagnosis in COVID-19 patients is associated with the need to be treated with MV. Thus, a decrease in Hb level after pneumonia diagnosis in COVID-19 patients might be a predictive factor for severe respiratory failure and the need for MV care. The most commonly reported reason for mortality or the development of a severe disease that requires MV care is the cytokine storm syndrome caused by SARS-CoV-2 [4]. Particularly, elevated IL-6 level was reported to be part of a larger cytokine storm, and associated with poor prognosis [15]. Another study found that IL-6 level in COVID-19 patients with oxygen saturation (SpO2) < 90% was significantly higher than in those with SpO2 > 90% (median IL-6, 51.69 vs. 6.69 pg/mL, P < 0.001) [6]. Thus, IL-6 level is thought to play an important role in the cytokine network associated with severe respiratory failure, including ARDS, in COVID-19 patients. Zhang et al. have demonstrated using immunocompromised mice transplanted with human primary acute myeloid leukemia (AML) that IL-6 impedes erythroid differentiation at the proerythroblast stage in AML [16]. This result indicates that elevated IL-6 could result in progressive anemia. In the current study, we did not evaluate IL-6 level in our COVID-19 patients. However, the progression of anemia in these patients is thought to be due to elevated IL-6. One possible reason is the fact that the patients in the current study had no evidence of hemorrhagic diathesis. Additionally, previous studies have reported that IL-6 induces the liver to synthesize acute phase proteins, including CRP [17]. In the current study, the CRP level in the MV group was significantly higher than in the non-MV group, which indicates that IL-6 level may have exhibited similar tendencies. Thus, the decrease in Hb level might be associated with elevated IL-6 level, and as such, can be useful for predicting poor prognosis (Fig. S1, Supplementary Information). In the current study, we evaluated the rate of change in laboratory factors over the three days after pneumonia diagnosis, in search of predictors for development of respiratory failure. Previous studies have shown that the duration from the onset of illness to ARDS in COVID-19 patients was 8–9 days [4,18], which is similar to the time from the onset of illness to severe respiratory failure in our study. We need to evaluate the rate of change in laboratory factors before severe respiratory failure had occurred, so we can predict early on which patient might develop it and act accordingly. The present study has several limitations. First, this is a retrospective single-center study that included a small number of Japanese patients. Further studies with greater sample size including other ethnic groups are warranted to evaluate the clinical significance of the decrease in Hb level. Second, five of the 23 patients were diagnosed with pneumonia by CT scans performed in another hospital the day before they were hospitalized at our hospital. For the purpose of analysis, their laboratory data on admission to our hospital were considered as the data at pneumonia diagnosis. Third, the decision regarding intubation and initiation of MV care was left to the attending physician, which may have affected the results. However, because all patients receiving MV care had developed severe respiratory failure and needed more than 5 L/min oxygen flow through a face mask, the influence of the attending physician's decision was likely minimal. Additionally, therapeutic strategies including corticosteroid administration may also have affected our results. Although the proportion of patients receiving corticosteroid therapy was significantly higher in the MV than the non-MV group, corticosteroid therapy was reported to not contribute to the progression of anemia [19]. Therefore, the influence on our results was likely minimal. In conclusion, the present study shows that the decrease in Hb level during the first few days after pneumonia diagnosis in COVID-19 patients was associated with the development of severe respiratory failure that required MV care. This Hb decrease might be useful for predicting the occurrence of severe respiratory failure requiring MV care in these patients.

Conflict of interest

The authors declare that they have no conflict of interest.
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Journal:  Acta Biomed       Date:  2020-03-19

Review 10.  Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review.

Authors:  Zheng Ye; Yun Zhang; Yi Wang; Zixiang Huang; Bin Song
Journal:  Eur Radiol       Date:  2020-03-19       Impact factor: 7.034

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  11 in total

1.  Effect of PDCA circulation nursing intervention on prognosis of patients with severe pneumonia.

Authors:  Ling Bai; Likun Yang; Xiaoyan Shi; Wan Huang
Journal:  Am J Transl Res       Date:  2022-01-15       Impact factor: 4.060

Review 2.  Elements and COVID-19: A Comprehensive Overview of Studies on Their Blood/Urinary Levels and Supplementation with an Update on Clinical Trials.

Authors:  Agnieszka Ścibior; Ewa Wnuk
Journal:  Biology (Basel)       Date:  2022-01-28

3.  The outcome of COVID-19 in patients with hematological malignancy.

Authors:  Pınar Tığlıoğlu; Murat Albayrak; Mesut Tığlıoğlu; Hacer Berna Afacan Öztürk; Merih Reis Aras; Buğra Sağlam; Senem Maral
Journal:  Memo       Date:  2021-12-09

4.  Severe COVID-19 is associated with endothelial activation and abnormal glycosylation of von Willebrand factor in patients undergoing hemodialysis.

Authors:  Golzar Mobayen; Amrita Dhutia; Candice Clarke; Maria Prendecki; Stephen McAdoo; Renos Keniyopoullos; Talat Malik; Michael Laffan; Michelle Willicombe; Thomas McKinnon
Journal:  Res Pract Thromb Haemost       Date:  2021-09-12

5.  Bioinformatics analysis of potential therapeutic targets for COVID-19 infection in patients with carotid atherosclerosis.

Authors:  Liang Yanchao; Zhang Sibin; Ilgiz Gareev; Xiang Huan; Zhao Junfei; Liu Chunyang; Ozal Beylerli; Albert Sufianov; Yuan Chao; Gai Yuyan; Xu Xun; Aamir Ahmad; Liang Peng; Yang Guang
Journal:  J Infect Public Health       Date:  2022-03-22       Impact factor: 3.718

Review 6.  Implication of COVID-19 on Erythrocytes Functionality: Red Blood Cell Biochemical Implications and Morpho-Functional Aspects.

Authors:  Annamaria Russo; Ester Tellone; Davide Barreca; Silvana Ficarra; Giuseppina Laganà
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923

7.  A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients.

Authors:  Negar Bakhtiarvand; Mehdi Khashei; Mehdi Mahnam; Somayeh Hajiahmadi
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-05       Impact factor: 3.298

8.  In-hospital mortality in SARS-CoV-2 stratified by hemoglobin levels: A retrospective study.

Authors:  Mohammed Al-Jarallah; Rajesh Rajan; Ahmad Al Saber; Jiazhu Pan; Ahmad T Al-Sultan; Hassan Abdelnaby; Moudhi Alroomi; Raja Dashti; Wael Aboelhassan; Farah Almutairi; Mohammed Abdullah; Naser Alotaibi; Mohammad Al Saleh; Noor AlNasrallah; Bader Al-Bader; Haya Malhas; Maryam Ramadhan; Mahdy Hamza; Kobalava D Zhanna
Journal:  EJHaem       Date:  2021-05-05

9.  A Novel Approach for COVID-19 Patient Condition Tracking: From Instant Prediction to Regular Monitoring.

Authors:  Evgeny A Bakin; Oksana V Stanevich; Mikhail P Chmelevsky; Vasily A Belash; Anastasia A Belash; Galina A Savateeva; Veronika A Bokinova; Natalia A Arsentieva; Ludmila F Sayenko; Evgeny A Korobenkov; Dmitry A Lioznov; Areg A Totolian; Yury S Polushin; Alexander N Kulikov
Journal:  Front Med (Lausanne)       Date:  2021-12-07

10.  Kynurenine and Hemoglobin as Sex-Specific Variables in COVID-19 Patients: A Machine Learning and Genetic Algorithms Approach.

Authors:  Jose M Celaya-Padilla; Karen E Villagrana-Bañuelos; Juan José Oropeza-Valdez; Joel Monárrez-Espino; Julio E Castañeda-Delgado; Ana Sofía Herrera-Van Oostdam; Julio César Fernández-Ruiz; Fátima Ochoa-González; Juan Carlos Borrego; Jose Antonio Enciso-Moreno; Jesús Adrián López; Yamilé López-Hernández; Carlos E Galván-Tejada
Journal:  Diagnostics (Basel)       Date:  2021-11-25
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