Lymphocytopenia and Neutrophilia Deteriorate at the Lowest Oxygenation Index Timepoint in COVID-19 Patient
Yiwen Xu1,2, Weijun Hong1, Gang Wu3, Weiling Li1, Chunqiang Xu1, Xiaofei Hu1, Meixian Zhang4, Huihui Xu5, En Wang1, Shaofa Ke1, Xiaoping Jin1*
1Department of Neurology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.
2The First Clinical Medical College, Wenzhou Medical University, Wenzhou, China.
3Department of Pharmacy, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.
4Public Experiment Center, Medical Research Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.
5Laboratory of Gynecologic Oncology, Medical Research Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.
DOI: 10.4236/ijcm.2020.1112060   PDF    HTML   XML   392 Downloads   1,066 Views  


Objective: Coronavirus disease 2019 (COVID-19) spread throughout the world and caused hundreds of thousands of infected people to death. However, the pathogenesis of severe acute respiratory syndrome coronavirus-2 (SARS COV-2) is poorly understood. The objective of this study is to retrospectively explore the pathogenesis of COVID-19 from clinical laboratory findings, taking disease progression into account. Methods: A single-centered, retrospective study was carried out, which included moderate (n = 76) and severe COVID-19 cases (n = 22). The difference of laboratory findings from blood routine examination and hepatorenal function test were retrospectively evaluated between the state of moderate and severe. The disease progression was indicated by oxygenation index. Results: Age is a risk factor for disease progression from moderate to severe. Lymphocytopenia, neutrophilia, liver and kidney function decreasement occurred in severe patients on admission, compared with moderate patients. Lymphocytopenia and neutrophilia deteriorated at the lowest oxygenation index timepoint in the severe patients. And the oxygenation index was associated with ratio of lymphocyte and neutrophil in COVID-19 patients. Conclusions: Lymphocytopenia and neutrophilia, which deteriorate in the progression of severe patients, are the main pathogenesis of COVID-19. More measures need to be taken to control lymphocytopenia and neutrophilia in severe COVID-19. Oxygenation index presented potentiality as predictor on the progression of COVID-19.

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Xu, Y. , Hong, W. , Wu, G. , Li, W. , Xu, C. , Hu, X. , Zhang, M. , Xu, H. , Wang, E. , Ke, S. and Jin, X. (2020) Lymphocytopenia and Neutrophilia Deteriorate at the Lowest Oxygenation Index Timepoint in COVID-19 Patient. International Journal of Clinical Medicine, 11, 810-822. doi: 10.4236/ijcm.2020.1112060.

1. Introduction

COVID-19 spreads throughout the world and has a mortality rate of about 7.1% [1]. As of December 9, 2020, the number of SARS-CoV-2 cases globally had eclipsed nineteen million, which largely exceeds the total number of SARS cases during the 2003 epidemic, and more than one million and five hundred thousand people have now died. The outbreak of COVID-19 has put health authorities on high alert in China and across the globe. Preliminary data indicates that COVID-19 can produce acute respiratory distress syndrome (ARDS), which is the leading cause of death. However up to now, the pathogenesis by which SARS-COV-2 triggers ARDS is poorly understood.

The aim of this study is to retrospectively explore the pathogenesis of COVID-19 from clinical laboratory findings, taking disease progression into account. The laboratory findings from our hospital were collected and a retrospective study of the differences in neutrophil, lymphocyte and so on during the moderate and most severe phases of COVID-19 was carried out. As a key lung function indicator, the oxygenation index was chosen as an indicator of the disease progression.

2. Materials and Methods

This study was approved by the ethics commission of Zhejiang Province Taizhou Hospital. All data were anonymized to comply with the provisions of personal data protection legislation. Due to the retrospective nature of this study and due the fact that only historical medical data were collected, written informed consent was not required.

2.1. Study Design and Participants

This single-center, retrospective study was carried out at Taizhou Hospital of Zhejiang province (Zhejiang, China). This hospital was specifically set up for the treatment of COVID-19 patients. We retrospectively recruited patients seen at the hospital between January 23, 2020 and February 27, 2020 and diagnosed with COVID-19 according to WHO’s interim guidelines [2]. These participants had been treated and discharged from hospital. The patients were considered to have moderate disease if they displayed fever, respiratory tract symptoms, or imaging evidence of pneumonia. Patients were considered severe cases if their resting respiratory rate was >30 per minute, oxygen saturation was below 93% without oxygen, or oxygenation index (PAO2/FiO2) or multiple pulmonary lobes showed >50% disease progression within 48 hours of imaging [3].

2.2. Data Collection

We reviewed clinical electronic medical records, nursing records, laboratory results, and radiological examinations for all patients with confirmed SARS-CoV-2 infection. Demographic data (age, sex, body weight), medical history, exposure history, underlying conditions, symptoms, laboratory results and treatment (respiratory support, antiviral therapy, corticosteroid therapy, immunoglobulin and vitamin C, etc.) were collected. Data were reviewed by a trained team of physicians.

2.3. Laboratory Confirmation

Sputum and throat swab specimens collected from all patients at admission were analyzed RT-qPCR for SARS-CoV-2 RNA within 3 hours of collection, using novel coronavirus (2019-nCoV) nucleic acid detection kit (Shanghai Zhijiang Biotechnology Co., China) by following the manufacturer’s instructions. The primers used target SARS-CoV-2 RdRp, N and E genes. Samples were considered SARS-COV-2 positive if they were RdRp positive and positive for either the N or E gene. Where only the RdRp gene was positive, the test was repeated and the sample was considered SARS-COV-2 positive if both tests returned positive. Samples were considered SARS-COV-2 negative if they were negative for all 3 genes. Conditions for the amplifications were 45˚C for 10 min, 95˚C for 3 min, followed by 45 cycles of 95˚C for 15 s and 58˚C for 30 s.

2.4. Patients’ Treatment

Patients were treated with the antiviral agents (lopinavir/Ritonavir oral solution or arbidol). Nebulized recombinant interferon α2b (rIFNα2b) was given at admission for about 10 days (5 × 106 IU, bid). Patients were randomly orally administered with vitamin C at a dose of 200 mg, 3 times daily. Low dose of corticosteroid (methylprednisolone, 12 - 50 mg daily for 5 - 7 days), and immunoglobulin (for 2 - 3 days) were administered in case of symptom deterioration. Nasal cannula oxygen support was given to patients depending on the severity of hypoxaemia. Patients with elevated inflammatory markers were treated with antibiotics (oral or intravenous). Patients with hepatic insufficiency indicated by Alanine aminotransferase (ALT) or Aspartate aminotransferase (AST) were given reduced glutathione, compound ammonium glycyrrhizinate, diaminonium glycyrrhizate or bicyclol. Renal insufficient patients were treated with reduced glutathione or compound α-ketoacid. To monitor viral clearance, SARS-CoV-2 tests were done at least twice before hospital discharge.

2.5. Statistical Analysis

Continuous variables were expressed as median (IQR) and compared using student’s t test if data were normally distributed or otherwise, Mann-Whitney U test. Categorical variables were expressed as proportions (%) and compared by χ2 test or Fisher’s exact test when the data was limited between moderate and severe patients, or between the most severe timepoint and hospital discharge. Pearson correlation analysis was conducted to assess the association of oxygenation index with lymphocytopenia and neutrophilia. Linear regression was conducted to explore which factor is responsible for lowered oxygenation index. Tests were two-sided with significance set at α ≤ 0.05. Data analysis was done on SPSS software, version 16.0 (SPSS Inc).

3. Results

3.1. Demographics and Baseline Characteristics of Patients with Severe COVID-19

98 hospitalized patients, laboratory confirmed to be SARS-COV-2 positive, were included in the study. The average age for the participants was 45.8 years (Std. Error (SE), 1.4). Of these, 58 (59.2%) were male. 76 (78.6%) of the participants were considered to be moderate cases, while 22 (22.4%) were considered to be severe cases (Table 1). The median duration from symptom onset to hospital admission, hospital length of stay (HLOS) and clinic course were 6 days (IQR, 5), 15.6 days (IQR, 11), and 21.7 days (IQR, 9), respectively. Of the 98 patients, 32 (32.7%) had 1 or more comorbidities. Hypertension [13 (13.3%)], diabetes [6 (6.1%)], cancer [4 (4.1%)], and chronic liver disease [3 (3.1%)] were the most common underlying conditions (Table 1).

Table 1. Demographics and baseline characteristics of patients with COVID-19.

P values comparing moderate cases and severe cases are from χ2 test, Fisher’s exact test, Mann-Whitney U test or Student’s t test. IQR, interquartile range.

Compared with moderate cases, the severe patients were significantly older [average age, 55.1 years (SE, 2.2) vs 43.1 years (SE, 1.5), P < 0.001]. Relative to moderate cases, severe cases were associated with longer HLOS and clinic course [median, 20.5 days (IQR, 8.5) vs 13 days (IQR, 11.0), P = 0.001; 26.5 days (IQR, 14.3) vs 19.5 days (IQR, 8.8), P < 0.001, respectively]. Relative to moderate cases, significantly more severe patients were treated with antibacterial agents, glucocorticoids and immunoglobulin [12 (54.5%) vs 20 (26.3%), P = 0.013; 17 (77.3%) vs 4 (5.3%), P < 0.001; 14 (63.6%) vs 2 (2.6%), P < 0.001, respectively]. There were no differences in the percentage of vitamin C therapy given to moderate and severe cases [7 (31.2%) vs 17 (22.4%)] (Table 1).

3.2. Deterioration of Lymphocytopenia and Neutrophilia at the Lowest Oxygenation Index Timepoint

COVID-19 symptoms continued to progress after hospital admission. During hospital stay, the patients underwent multiple oxygenation index assays, a key lung function indicator. The lowest oxygenation index was chosen as the most severe timepoint. The laboratory results for tests done at admission, at the most severe timepoint and before discharge were analyzed. This analysis revealed that laboratory results for moderate cases remain relatively stable between the admission and the lowest oxygenation timepoint. At admission, the lymphocyte ratio in severe cases was significantly lower than in moderate cases [median, 23.6 (IQR, 20.85) vs 25.75 (IQR, 9.8), P = 0.041], while the neutrophil ratio was higher in severe cases [median, 66.1 (IQR, 27.25) vs 65 (IQR, 14.43), P = 0.039]. At the most severe timepoint, the lymphocyte ratio in severe cases decreased sharply, and was lower than the lymphocyte ratio in moderate cases [median, 11.55 (IQR, 15.58) vs 25.5(IQR, 13.95), P < 0.001]. Neutrophil ratio and white-cell counts were significantly higher than in moderate cases [median, 81.25 (IQR, 21.8) vs 66.1 (IQR, 16.12), P < 0.001; 8.05 (IQR, 4.93) vs 6.0 (IQR, 2.05), P = 0.006, respectively] (Table 2).

Table 2. Laboratory results of patients infected with SARS CoV-2.

Data are showed as median (IQR).aP values comparing moderate cases and severe patients from Mann-Whitney U test. bP value comparing the lowest oxygenation index timepoint and discharge from hospital of all the patients.

At hospital discharge, oxygenation index, lymphocytopenia and neutrophilia were significantly improved after multiple rounds of treatment (P < 0.001), when compared to the most severe timepoint. However, neutrophil ratio and white-cell counts in severe cases remained higher than in moderate cases [median, 66.3 (IQR, 15.38) vs 62.85 (IQR, 11.9), P = 0.002; 6.0 (IQR, 1.7) vs 6.95 (IQR, 3.83), P < 0.001, respectively]. Notably, the platelet count in severe cases was significantly lower than in moderate cases [median, 205.5 (IQR, 100.25) vs 270 (IQR, 100.5), P = 0.003] (Table 2).

Liver and kidney functions were monitored by analyzing alanine and aspartate aminotransferase levels, as well as creatinine clearance rate. This analysis revealed that liver and kidney function in the severe cases were poorest at admission but improved gradually. Relative to the moderate cases, lower levels of uric acid, an endogenous free radical scavenger and a major antioxidant in plasma [4], were observed in severe cases at the lowest oxygenation index timepoint [median, 224 (IQR, 128) vs 257 (IQR, 139.5), P = 0.028] (Table 2). However, linear regression analysis suggests that the lower uric acid levels might be age and sex related and not oxygenation index dependent (uric acid = 468.65 − 1.721 age − 56.244 sex − 0.07 oxygenation index, Adjusted R Square = 0.098, P = 0.036, 0.009, 0.295 for age, sex, oxygenation index, respectively).

3.3. Association of Oxygenation Index with Lymphocytopenia and Neutrophilia

To evaluate the relationship of oxygenation index with lymphocytopenia and neutrophilia, the Pearson correlation analysis and linear regression analysis were carried out. The association of oxygenation index with lymphocytopenia and neutrophilia were demonstrated by Pearson correlation analysis of the values at the most severe timepoint (r = 0.465 with neutrophil ratio, P < 0.001; r = −0.461 with lymphocyte ratio, P < 0.001) (Figure 1). Linear regression analysis showed that age and liver function were the factors that influenced the oxygenation index levels (oxygenation index = 790.777 − 39.816 age − 2.799 sex − 1.627 body weight − 2.385 ALT + 0.536 AST − 0.404 creatinine clearance rate − 2.672 comorbidities, Adjusted R Square = 0.141, P = 0.006, 0.043, 0.226, 0.299, 0.739, 0.563, 0.912 for age, ALT, sex, body weight, AST, creatinine clearance rate, comorbidities, respectively). Syphilis, gout, hypothyroidism were not included in comorbidities here as neither of them was reported to be related with the risk of COVID-19 in the literature.

Figure 1. Association of oxygenation index with lymphocyte ratio and neutrophil ratio in COVID-19 patient. Left is changes of oxygenation index (purple), lymphocyte ratio (blue) and neutrophil ratio (orange) in moderate cases (dotted line) and severe cases (solid line). 1, On admission; 2, Lowest oxygenation index timepoint; 3, Discharge from hospital. Right is results of Pearson correlation analysis of oxygenation index with lymphocyte ratio (upper) and neutrophil ratio (lower). Black circles, moderate cases; red circles, severe cases. r = Pearson’s coefficient; P, significance.

4. Discussion

COVID-19, which spread rapidly and has been considered as a global pandemic, has a fatality rate of about 7.1% fatality [1]. However, its pathogenesis is poorly understood. We have successfully treated 98 SARS-CoV-2 positive patients displaying moderate or severe symptoms and all have been discharged from hospital. Findings from the retrospective analysis of these patient’s primary clinical data can help to better understand the COVID-19 pathogenesis. Because dyspnea and subsequent ARDS [5] [6] is the main complication from COVID-19, we chose the lowest oxygenation index as the most severe COVID-19 timepoint. We observed that lymphocytopenia and neutrophilia were the main features of the disease at the most severe timepoint and COVID-19 progression is accompanied by a deteriorating lymphocytopenia and neutrophilia. Several other studies have also shown that lymphocytopenia and neutrophilia were the clinical characteristics in critical patient or nonsurvivors, compared to the noncritical or survivors [6] [7] [8] [9]. Nevertheless, this is the first study takes disease progression into account indicating by the oxygenation index.

Oxygenation index was shown to be related with lymphocytopenia and neutrophilia after Pearson correlation analysis in this study and also with radiographic score in [10]. Oxygenation index presented potentiality as predictor on the progression of COVID-19. Because of small sample size and lack of image data, the criterion of oxygenation index for COVID-19 deterioration was not achieved. Some COVID-19 patients with “silent hypoxemia” deteriorate rapidly without signs of respiratory distress [11]. Moreover, oxygenation index is easy to calculate and suitable for clinical application in admission units during a pandemic. It is recommended to routinely monitor the oxygenation index and increase oxygen delivery once it decreases. As age and ALT influenced the oxygenation index levels shown in linear regression analysis, it is needed to pay attention to the liver function in elderly patients [12].

Our data implies four means of COVID-19 pathogenesis: 1) Like SARS-CoV [13], SARS-CoV-2 invades and destroys lymphocytes [14]. 2) Neutrophils, as part of the innate immune system, increase sharply to help clear exogenous virus. At the same time, high levels of reactive oxygen species are produced, which may cause injury to the lung epithelial-endothelial barrier [15]. 3) A cytokine storm triggered by the destroyed lymphocytes and hyperactive neutrophils might occur in severe COVID-19 [16] [17]. 4) An overactive immune response causes diffuse alveolar damage, airway inflammation and increased secretions overflowed from the alveoli, leading to the airways blockage and dyspnea [18] [19]. A subset of patients specially with comorbidities such as hypertension or diabetes develop acute respiratory distress syndrome (ARDS), multiple organ failure and/or septic shock, which are high risk indication of death.

Interventions that manage these COVID-19 consequences should be beneficial in clinic practice. Clinical applications such as thymosin and gamma globulin will improve the COVID-19 patients’ poor immune function [20]. Therapeutic strategies targeting neutrophilia by reducing neutrophil numbers, blocking neutrophil activation or blocking neutrophil-derived mediators will provide new options for clinical SARS-CoV-2-induced pneumonia [21]. Treatment options for patients with severe inflammation include steroids, intravenous immunoglobulin, selective cytokine blockers (such as anakinra or tocilizumab [22] [23] ) and JAK inhibitors. A multicenter randomized controlled trial of tocilizumab (IL-6 receptor blocker) has been approved for clinical trials in patients with covid-19 pneumonia and elevated IL-6 in China (ChiCTR2000029765).

In our hospital, various measures were taken to treat COVID-19 patients and their benefits in inhibition of lymphocytopenia and neutrophilia and subsequent inflammatory storm deserve to be discussed. Interferon interferes with virus replication and transmission through mechanisms such as reducing cell metabolism or cytokine secretion which could promote the activation of adaptive immunity and it may upscale treatment in early stages of COVID-19 infection [24]. The results that SARS-CoV-2 failed to induce IFNs expression supports that exogenous IFN treatment might be beneficial for COVID-19 [25]. On the other hand, interferon stimulates gene expression of ACE2, SARS-CoV-2 receptor, in human airway epithelial cells. Whether interferon is net beneficial or detrimental in COVID-19 needs studied [26].

Glucocorticoid is a widely used and effective anti-inflammatory and immunosuppressive agent. Low dose of glucocorticoids was used for a few days here, which was not associated with severe sequelae, when the oxygenation index fell sharply. This treatment could be critical in reversing COVID-19 complications [27] [28]. Deteriorating severe patients also received immunoglobulin which could neutralize the pathogens, block the receptors on virus-targeted cells and inhibit production of inflammatory factors. Immunoglobulin was reported to reduce HLOS and 28-day mortality of patients with severe COVID-19 pneumonia [29]. In lymphocytopenia situation, patients were seldom treated with thymosin. However, thymosin was reported to reverses T cell exhaustion in a retrospective study [20]. Vitamin C is supposed to alleviate COVID-19 symptoms by scavenging reactive oxygen and nitrogen species and also modulation of the immune system. However, any impact of vitamin C administration on lymphocytopenia, neutrophilia, HLOS or clinic course of the disease was not observed, upon analysis of differences of laboratory findings between the treated and untreated group (Supplementary TableS1) and regression of vitamin C to changes of laboratory results. This may be due to the short metabolic half-life and low dose of vitamin C used [30].

Considering the information described above, the deteriorating lymphocytopenia and neutrophilia was observed in the progression of severe COVID-19 patients. Oxygenation index presented potentiality as predictor on the progression of COVID-19. These findings indicate that the oxygenation index should be routinely monitored and measures need to be taken to control lymphocytopenia, neutrophilia and the resulting cytokine storm. Symptomatic treatments such as low dose of glucocorticoids and immunoglobulin possess possible benefit on COVID-19 amelioration.

This study has several limitations. First, the sample size is small. Only 22 severe patients were included. Second, image data were not collected. Because of the two shortcomings, the causal relationship and criterion of decreasement of oxygenation index for COVID-19 deterioration was not achieved. Third shortcoming comes from the retrospective observational nature of this study, so it is difficult to address the relationships between COVID-19 amelioration and symptomatic therapy such as glucocorticoids and vitamin C.


We acknowledge all health-care workers involved in the diagnosis and treatment of patients in Taizhou city.


Table S1. The effect of oral vitamin C administration on the patients with COVID-19.

Data are showed as median (IQR). P values comparing with vitamin C (Vc) or no vitamin C (no Vc) treatment are from Mann-Whitney U test.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.


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