Int J Med Sci 2020; 17(9):1142-1146. doi:10.7150/ijms.45743 This issue Cite

Research Paper

Characteristics of in peripheral blood of 70 hospitalized patients and 8 diarrhea patients with COVID-19

Xiao-Yu Wei1#, Ding Jing1#, Bei Jia2, Qing Li2, Xia-Qia Zhou1, Ming-Feng Gong1, Jing-Bo Zou4, Qiang Zhang2, Wen-Xiang Huang3 Corresponding address, Wen-Guang Tian1 Corresponding address

1. Department of Infectious Diseases, Yongchuan Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.
2. Cancer center, Daping Hospital, The Third Military Medical University, Yuzhong District, Chongqing 400042, P.R. China.
3. Department of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.
4. Chongqing Yongchuan District Center for Disease Control and Prevention, Chongqing 400016, P.R. China.
#These authors contributed equally to this work.

Citation:
Wei XY, Jing D, Jia B, Li Q, Zhou XQ, Gong MF, Zou JB, Zhang Q, Huang WX, Tian WG. Characteristics of in peripheral blood of 70 hospitalized patients and 8 diarrhea patients with COVID-19. Int J Med Sci 2020; 17(9):1142-1146. doi:10.7150/ijms.45743. https://www.medsci.org/v17p1142.htm
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Abstract

Objective: To analyze the blood test indicators of patients after infection of COVID-19 in Chongqing and analyze the clinical indicators of 8 patients with diarrhea.

Materials and Methods: From January 26, 2019 to February 13, 2020, 70 patients diagnosed with 2019-nCoV according to the World Health Organization interim guidance for NCP and divided into diarrhea and non-diarrhea groups. The laboratory tests liver and kidney function, blood routine, coagulation function, and immune status.

Results: The study population included 70 hospitalized patients with confirmed CONV-2019. NCP patients (43males and 27 females) with a mean age of 48.57±17.80 (9~82) years and only 4.3% of patients have lung-related diseases. The positive rate of ESR, CRP, PT, IL6, lymphocyte count, GGT, Prealbumin and CD4 was more than 50%. We further analyzed the differences between 8 diarrhea patients and 62 non-diarrhea patients. Among these indicators, only Lymphocyte, CRP, Prealbumin and Cystatin C positive rate is more than 50%. Although there is no statistical difference in GGT, 100% of the 7 patients tested decreased.

Conclusion: Our data recommended that the ESR, CRP, PT, IL6, lymphocyte count, GGT, prealbumin and CD4 have important value in the diagnosis of COVID-19, and the decrease of GGT may be an important indicator for judging the intestinal dysfunction of patients.

Keywords: Peripheral blood, COVID-19, GGT, Diarrhea

Introduction

The new coronavirus (CoV) named by the World Health Organization (WHO) as “COVID-19” led to a pneumonia outbreak that recently started in Wuhan, Hubei Province China [1]. Its outbreak was linked to a large seafood and animal market and investigations are underway to determine the source of infection. Thousands of human infections and many export cases worldwide have been confirmed in China to date [2]. The main source of infection is pneumonia in patients infected with new coronavirus. Respiratory droplets are the main route of transmission and can also be transmitted through contact. People are often vulnerable. The main symptoms are respiratory symptoms such as fever and cough. However, recently, Professor An Ping et al. observed that the first symptom of some patients with pneumonia infected by the new coronavirus is only diarrhea, and it is suspected that the digestive system may also transmit the new coronavirus. At present, the mechanism by which digestive symptoms appear is unclear. The purpose of this study was to analyze the basic conditions of 70 patients with new-type coronavirus in Yongchuan Hospital, to analyze the blood test indicators of patients after infection, and the differences in the detection indexes of the infected people in Wuhan and Chongqing, and to analyze the clinical indicators of 8 patients with diarrhea. This will assist in the ability to find specific clinical testing indicators for patients with diarrhea.

Materials and Methods

Patients

From January 26, 2019 to February 13, 2020, 70 patients diagnosed with 2019- nCoV according to the World Health Organization interim guidance for NCP and divided into diarrhea and non-diarrhea groups. All patients were confirmed to be positive for new coronavirus nucleic acid by real-time fluorescent RT-PCR. Infection samples were collected from Chongqing Hospital.

Blood sampling

Blood samples of the patients were collected by the nurse according to the doctor's order, and all patients were not treated before the blood sampling or did not receive the standardized treatment according to the diagnosis and treatment scheme of NCP.

Blood test

Liver and kidney function, immunoglobulin complement, and fructosamine machines are all Hitachi 7600 automatic biochemical analyzers from Japan. The blood routine is a Japanese Sysmex XN-1000 automatic blood analyzer. The coagulation test is a Japanese Sysmex CA7000 automatic coagulation analyzer. Glycated hemoglobin is a Mindray H50 glycated hemoglobin analyzer. Erythrocyte sedimentation is an instrument that I haven't noticed, and I haven't changed it yet.

Statistical analysis

All statistical analyses were performed using SPSS 20.0 (SPSS Inc., Chicago, IL, USA). Descriptive analyses were performed for categorical variables such as gender. Continuous variables such as inspection results were expressed as x ± s and compared using the independent samples t-test. P<0.05 was considered as statistically significant.

Results

Clinical characteristics of all patients

All patents' clinical specimens for CONV-2019 diagnostic testing were obtained in accordance with the guidelines of the CDC [3,4]. A description of the assay and sequence information for the RT-PCR primers and probes are available on the CDC Laboratory Information website for CONV-2019.

The study population included 70 hospitalized patients with confirmed CONV-2019. NCP patients (43males and 27 females) with a mean age of 48.57±17.80 (9~82) years and only 4.3% of patients have lung-related diseases. Lesion site locations were prominent in both lungs (Table 1).

 Table 1 

Case characteristics group by 2019 ncov

VariablePatient NumberPatient%
Age (mean±SD)48.57±17.80
Age(y)
<605274.3
≥601825.7
Gender
Male4361.4
Female2738.6
Lung related basic diseases
no6795.7
yes34.3
Person category
A2941.4
B4158.6
Location of lesion
Right1014.3
Left710.0
Both4665.7
Normal710.0

A: Wuhan infected people; B: Infecting people in Chongqing.

Blood test indicators of all patients

All patients were tested for blood routine, liver and kidney function, coagulation, and immune status when they were admitted to the hospital. ESR(39/70), CRP (49/70), PCT (31/58), PT (41/67), IL6 (39/68), Cystatin C (23/68) were significantly elevated and the lymphocyte count (39/70), Prealbumin (39/67), GGT (54/70), CD4 (50/66), CD8 (24/70), T cell (26/65) were significantly decreased and the abnormal rate was more than 30%. At the same time, the positive rate of ESR, CRP, PT, IL6, lymphocyte count, GGT, Prealbumin and CD4 is more than 50%. These indicators may have more important clinical significance in the diagnosis process (Table 2).

 Table 2 

Differences in clinical blood test indicators among all patients

VariableNormal NO. (mean±SD)High NO. (mean±SD)Low NO. (mean±SD)P value (mean)
WBC59 (5.35±1.53)11 (2.90±0.53)b, P=0.000
Lymphocyte31 (1.52±0.36)39 (0.76±0.23)b, P=0.000
Neutrophil cell63 (3.5±1.09)3 (7.55±3.61)4 (1.23±0.28)a, P=0.000
b, P=0.000
N% (40-75)57 (64.81±8.56)13 (81.68±6.20)a, P=0.000
PLT55 (195.56±51.03)3 (325±8.49)12 (95.75±19.07)a, P=0.000
b, P=0.000
HB54 (105.37±9.10)8 (157.27±6.25)8 (133.39±9.39)a, P=0.000
b, P=0.000
CRP31 (3.11±2.82)39 (36.26±27.79)a, P=0.000
ESR21 (10.26±4.25)49 (60.80±29.36)a, P=0.000
PCT27 (0.06±0.03)31 (0.12±0.17)a, P=0.041
IL629 (2.66±1.58)39 (23.91±19.80)a, P=0.000
BNT63 (76.13±83.57)5 (500±320.20)a, P=0.041
PT26 (12.07±0.66)41 (14.69±1.39)a, P=0.000
PTA62 (88.10±8.69)6 (61.83±2.40)a, P=0.000
d-dimer59 (0.35±0.23)3 (1.30±0.17)a, P=0.000
ALT62 (24.03±9.23)8 (89.75±37.72)a, P=0.002
AST55 (25.07±5.90)15 (56.73±29.20)a, P=0.001
GGT9 (83.67±27.69)7 (194.86±51.04)54 (26.72±18.57)a, P=0.001
b, P=0.000
Prealbumin28 (242±28.17)39 (131.51±41.87)b, P=0.000
ALB58 (42.33±4.11)11 (33.38±1.42)b, P=0.000
CK51 (66.67±30.20)11 (14.64±49.22)b, P=0.008
CK-MB53 (0.46±0.45)9 (5.97±2.05)a, P=0.043
LDH57 (470.37±96.41)7 (749.59±124.89)a, P=0.001
Myoglobin60 (31.05±14.61)8 (313.45±584.95)a, P=0.214
Creatinine60 (67.62±13.23)2 (128±8.49)8 (38.75±3.85)a, P=0.000
b, P=0.000
Urea nitrogen60 (4.53±1.17)9 (2.52±0.29)b, P=0.000
α1 microglobulin57 (21.84±4.57)11 (34.69±4.44)a, P=0.000
Cystatin C45 (0.95±0.11)23 (1.34±0.32)a, P=0.000
Glycated hemoglobin40 (5.74±0.63)10 (8.14±2.80)a, P=0.027
IgG52 (11.62±2.06)10 (18.49±3.12)2 (7.2±0.85)a, P=0.000
b, P=0.004
IgA55 (1.95±0.53)9 (4.53±1.27)a, P=0.000
IgM61 (1.22±0.43)2 (2.44±0.08)1 (-)a, P=0.000
C362 (1.32±0.17)2 (1.75±0.05)a, P=0.001
C447 (0.31±0.06)15 (0.48±0.10)2 (0.16±0.01)a, P=0.000
b, P=0.001
CD416 (715.69±161.46)50 (314.78±126.11)b, P=0.000
CD846 (365.47±175.03)24 (126.21±39.04)b, P=0.000
T cell39 (917.44±333.36)26 (403.31±180.52)b, P=0.000

Note: a: high vs normal, b: low vs normal.

Comparison of diarrhea and non-diarrhea populations

However, the clinical examination of patients with diarrhea as the main symptom is not clear. We further analyzed the differences between 8 diarrhea patients and 62 non-diarrhea patients. The Eight patients had diarrhea as the first symptom, and the throat swab test was negative but the anal swab test was positive, and except for one patient who had slight inflammation of the lungs when admitted, the other patients had no obvious inflammatory changes in the lungs (Figure 1). There was no significant difference between the two groups in the general situation of age, gender, medical history, etc. (Table 3). Comparison of clinical test indicators between the two groups of patients found that GGT (diarrhea vs. non-diarrhea: 20.75±14.12 vs. 54.74±59.61; P=0.000) was significantly different. The results indicate that GGT may be a deliberate detection index for patients with diarrhea. Further analysis of clinical test indicators of 8 patients showed that the Lymphocyte (4/8), PLT(2/8), CRP (4/8), PT (2/8), Prealbumin (5/8), Creatinine (2/8), Cystatin C (4/8), C4 (3/8) and CD8 (3/8) had significant differences (P<0.05). Among these indicators, only Lymphocyte, CRP, Prealbumin and Cystatin C positive rate is more than 50%. Although there is no statistical difference in GGT, 100% of the 7 patients tested decreased, so it further illustrates the important detection value of GGT in patients with diarrhea.

 Table 3 

Comparison of clinical data between diarrhea and non-diarrhea

VariableDiarrhea (n=8)Non-diarrhea (n=62)P value
Age (mean±SD)42.38±17.7449.37±17.800.299
Age(y)
<608430.097
≥60019
Gender
Male5390.714
Female323
Lung related basic diseases
no8590.771
yes03
Location of lesion
Right0120.420
Left04
Both138
Normal78
 Figure 1 

CT of chest in patients with diarrhea and non-diarrhea.

Int J Med Sci Image
 Table 4 

Comparison of clinical indicators of diarrhea and non-diarrhea

VariableDiarrheaNo diarrheaP value
WBC4.50±1.185.21±2.080.353
Lymphocyte1.17±0.491.08±0.500.635
Neutrophil cell2.96±1.353.61±1.800.327
N%63.25±15.1967.84±10.300.266
PLT182.63±46.88180.81±66.960.941
HB132.50±13.94134.13±16.460.790
CRP22.36±23.1721.48±27.100.931
ESR41.50±47.4847.60±32.050.635
PCT0.22±0.360.07±0.040.276
IL611.55±21.9515.06±17.940.614
BNT73.63±83.5498.9±141.590.624
PT12.93±1.6013.74±1.840.241
PTA87.65±7.2183.67±16.340.502
d-dimer0.32±0.240.41±0.310.456
ALT21.13±17.4632.89±26.430.227
AST27.00±16.5432.48±19.630.453
GGT20.75±14.1254.74±59.610.000
Prealbumin169.63±73.49178.7±65.470.716
ALB42.21±5.8440.73±4.950.438
CK67.63±40.13117.04±150.140.361
CK-MB0.34±0.200.81±1.440.364
LDH521.38±189.60532.76±169.680.861
Myoglobin27.49±8.5469.18±223.900.603
Creatinine62.86±17.0466.45±19.060.615
Urea nitrogen3.98±1.054.39±1.460.446
α1 microglobulin23.13±6.2724.03±6.650.718
Cystatin C1.02±0.151.09±0.280.510
Glycated hemoglobin5.81±0.306.15±1.980.676
IgG11.77±1.9512.65±3.610.530
IgA2.62±1.362.30±1.090.484
IgM1.57±0.551.21±0.460.061
C31.29±0.121.34±0.190.506
C40.37±0.050.34±0.110.557
CD4404.63±153.05431.19±265.490.784
CD8319.50±210.50274.37±179.990.516
T cell764.13±349.30733.25±438.440.849

Discussion

So far, there is no vaccine or specific antiviral treatment for this emerging infectious disease, and effective control still depends mainly on early diagnosis, patient isolation and close contact monitoring [3]. Therefore, reliable and accurate diagnostic methods play a vital role in the field of disease control and prevention. However, some patients with diarrhea have a false-negative nucleic acid test. So, finding indicators that can predict gut symptoms in patients has important clinical significance. Our data found that the positive rate of ESR, CRP, PT, IL6, lymphocyte count, GGT, Prealbumin and CD4 was more than 50%. In addition, it was found that the Lymphocyte, PLT, CRP, PT, Prealbumin, Creatinine, Cystatin C, C4 and CD8 have clinical significance for patients in the diagnosis of diarrhea. GGT reduction is probably the most important indicator. Taken together, consistent with previous research [2,5], the ESR, CRP, PT, IL6, lymphocyte count, GGT, Prealbumin and CD4 have important value in the diagnosis of COVID-19, and the decrease of GGT may be an important indicator for judging the intestinal dysfunction of patients.

 Table 5 

Analysis of clinical detection indicators in patients with diarrhea

VariableNormal NO. (mean±SD)High NO. (mean±SD)Low NO. (mean±SD)P value
WBC7 (4.75±1.00)
Lymphocyte4 (1.51±0.29)4 (0.83±0.39) a, P=0.032
Neutrophil cell6 (3.43±1.21)2 (1.53±0.21)a, P=0.081
NEU7 (59.03±10.15)1(92.8)
PLT6 (204.67±27.19)2 (116.50±4.95)b, P=0.005
HB4 (135.57±11.77)
CRP4 (2.60±2.73)4 (42.13±14.29)a, P=0.010
ESR5 (12.2±6.22)3 (90.33±45.72)a, P=0.096
PCT4 (<0.05)4 (0.40±0.47)a, P=0.235
IL66 (<1.5)3 (34.44±25.14)a, P=0.151
BNT8 (73.63±83.54)
PT6 (12.15±0.83)2 (15.25±0.35)a, P=0.003
PTA8 (87.65±7.24)
D-dimer8 (0.32±0.24)
ALT7 (15±2.31)
AST7 (21.43±5.44)
GGT7(15.86±3.02)
Prealbumin3 (248.33±28.10)5 (122.40±40.30)a, P=0.003
ALB7 (43.26±5.44)
CK7 (54.57±16.99)
CK-MB8 (0.34±0.20)
LDH6 (423.83±61.75)2 (814±65.05)
Myoglobin8 (27.49±8.54)
Creatinine6 (71.00±9.23)2 (38.5±4.95)b, P=0.004
Urea nitrogen7 (4.27±0.71)
α1 microglobulin7 (21.53±4.69)
Cystatin C4 (0.9±0,09)4 (1.15±0.06)a, P=0.005
Glycated hemoglobin6 (5.81±0.30)
IgG6 (12.2±1.74)
IgA5 (1.93±0.48)2 (4.34±1.14)a, P=0.237
IgM6 (1.41±0.41)1 (2.5)
C37 (1.23±0.12)
C45 (0.34±0.03)3 (0.43±0.01)a, P=0.017
CD44 (509.05±9.00)4 (340.80±165.40)b, P=0.084
CD85 (429.20±189.63)3 (136.67±54.27)b, P=0.044
T cell7 (855.14±255.00)1 (127)

Note: a: high vs normal, b: low vs normal.

Clinical Perspectives

Our study analyzed the detection of 70 patients with COVID-19 infection in Chongqing, and specifically analyzed the blood test of 8 patients with diarrhea as the first symptom. The decrease of GGT may be an important indicator for judging the intestinal dysfunction of patients. It has clinical significance for the diagnosis and treatment of diarrhea patients.

Acknowledgements

The study was supported by Chongqing Medical University New Coronary Virus Pneumonia Disease Progression and Prognosis Model Establishment Project (20200212-10).

 Table 6 

Test indicator description and normal value range

Blood routine
Leukocytes (×109 per L, normal range 3.5-9.5)Lactate dehydrogenase (U/L, normal range 313-618)
Neutrophils (×109 per L, normal range 1.8-6.3)Myoglobin (ng/mL, normal range Male 0-121; Female 0-61.5)
Neutrophil percentage (Neutrophil percentage 40-75)Serum Creatinine (umol/L, normal range Male 53-123; Female 62-106)
Lymphocytes (×109 per L, normal range 1.1-3.2)Blood Urea nitrogen (mmol/L, normal range 2.86-8.20)
Platelets (×109 per L, normal range 125-350)α1 microglobulin (mg/L, normal range 10-30)
Hemoglobin (g/L, normal range Male 130-175; Female 115-150)Cystatin C (mg/L, normal range 0.51-1.09)
Brain natriuretic peptide (pg/ml, normal range 1-125)Glycated hemoglobin (%, normal range 4.5-6.3)
Coagulation functionImmunoglobulin complement G (G/L, normal range 8-16)
Prothrombin time (s, normal range 11-14.5)Immunoglobulin complement A (G/L, normal range 0.7-3.3)
D-dimer (ug/L, normal range 0.00-0.5)Immunoglobulin complement M (G/L, normal range 0.5-2.2)
Prothrombin time activity (%, normal range 70-120)Complement 3 (G/L, normal range 0.8-1.6)
Blood biochemistryComplement 4 (G/L, normal range 0.2-0.4)
Alanine aminotransferase (U/L, normal range Male 9-50; Female 7-40)Infection-related factors
Aspartate aminotransferase (U/L, normal range Male 15-40; Female 13-35)Erythrocyte sedimentation rate (mm/h, normal range Male 0-15; Female 0-20)
Gamma glutaminase (GGT) (U/L, normal range Male 10-60; Female 7-45)C-reactive protein (mg/L, normal range 0-10)
Prealbumin (mg/L, normal range 200-400)Procalcitonin (ng/ml, normal range 0-0.05)
Albumin (G/L, normal range 35-55)Interleukin -6 (Pg/ml, normal range 0-7)
Creatine kinase (U/L, normal range Male 55-170; Female 30-135)CD4 T-cell (per ul, normal range 493-1191)
Creatine kinase isoenzyme (ng/ml, normal range 0.0-3.4)CD8 T-cell (per ul, normal range 182-785)
Total T-Cell (per ul, normal range 644-2201)

The data availability statement

All data gathered and included in the present study are available and can be provided by the corresponding author upon reasonable request.

Ethics approval

This study was approved by the ethical committee of Yongchuan Hospital of Chongqing Medical University and informed consent was obtained from each patient.

Competing Interests

The authors have declared that no competing interest exists.

References

1. Huang C, Wang Y, Li X. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 395(10223):497-506

2. Chen N, Zhou M, Dong X. et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-513

3. CfDCa P. Interim Guidelines for Collecting, Handling, and Testing Clinical Specimens from Persons Under Investigation (PUIs) for Coronavirus Disease 2019 (COVID-19). Interim Guidelines for Collecting, Handling, and Testing Clinical Specimens from Persons Under Investigation (PUIs) for Coronavirus Disease 2019 (COVID-19). https://www.cdc.gov/coronavirus/2019-ncov/lab/guidelines-clinical-specimens.html. 2020

4. CNH C. the Novel Coronavirus Pneumonia Prevention and Control guideline. http://www.nhc.gov.cn/yzygj/s7653p/202002/3b09b894ac9b4204a79db5b8912d4440.shtml. 2020

5. Wang D, Hu B, Hu C. et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020

Author contact

Corresponding address Corresponding authors: Wen-Guang Tian, E-mail: twg9366com.; Wen-Xiang Huang, E-mail:wenxiang_huangcom.


Received 2020-3-7
Accepted 2020-4-28
Published 2020-5-17


Citation styles

APA
Wei, X.Y., Jing, D., Jia, B., Li, Q., Zhou, X.Q., Gong, M.F., Zou, J.B., Zhang, Q., Huang, W.X., Tian, W.G. (2020). Characteristics of in peripheral blood of 70 hospitalized patients and 8 diarrhea patients with COVID-19. International Journal of Medical Sciences, 17(9), 1142-1146. https://doi.org/10.7150/ijms.45743.

ACS
Wei, X.Y.; Jing, D.; Jia, B.; Li, Q.; Zhou, X.Q.; Gong, M.F.; Zou, J.B.; Zhang, Q.; Huang, W.X.; Tian, W.G. Characteristics of in peripheral blood of 70 hospitalized patients and 8 diarrhea patients with COVID-19. Int. J. Med. Sci. 2020, 17 (9), 1142-1146. DOI: 10.7150/ijms.45743.

NLM
Wei XY, Jing D, Jia B, Li Q, Zhou XQ, Gong MF, Zou JB, Zhang Q, Huang WX, Tian WG. Characteristics of in peripheral blood of 70 hospitalized patients and 8 diarrhea patients with COVID-19. Int J Med Sci 2020; 17(9):1142-1146. doi:10.7150/ijms.45743. https://www.medsci.org/v17p1142.htm

CSE
Wei XY, Jing D, Jia B, Li Q, Zhou XQ, Gong MF, Zou JB, Zhang Q, Huang WX, Tian WG. 2020. Characteristics of in peripheral blood of 70 hospitalized patients and 8 diarrhea patients with COVID-19. Int J Med Sci. 17(9):1142-1146.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
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