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. 2017 Apr 26;39(3):272–278. doi: 10.1111/ijlh.12620

Hematologic, hepatic, and renal function changes in hospitalized patients with Middle East respiratory syndrome coronavirus

J A Al‐Tawfiq 1,2,, K Hinedi 1, S Abbasi 1, M Babiker 1, A Sunji 1, M Eltigani 1
PMCID: PMC7165514  PMID: 28444873

Summary

Background

There are no longitudinal data on the changes in hematologic, hepatic, and renal function findings in patients with Middle East respiratory syndrome coronavirus (MERS‐CoV) infection.

Methods

This is a retrospective cohort study of 16 MERS‐CoV patients, to describe the hematological, hepatic, and renal findings of patients with MERS‐CoV.

Results

During the 21 days of observation, there was no significant change in the hepatic panel or creatinine tests. There was a significant increase in the mean ± SD of the white blood cell count from 8.3 ± 4.6 to 14.53 ± 7 (P value = 0.001) and an increase in mean ± SD of the absolute neutrophil count from 6.33 ± 4.2 to 12 ± 5.5 (P value = 0.015). Leukocytosis was observed in 31% (5/16) of the patients on day 1 and in 80% (4/5) on day 21. Transient leukopenia developed in 6% (1/16) of the patients on day 1 and in 13% (1/8) on day 8. None of the patients had neutropenia. Lymphopenia was a prominent feature with a rate of 44% (7/16) of the patients on day 1 and 60% (3/5) on day 21. Lymphocytosis was not a feature of MERS‐CoV infection. Thrombocytopenia developed in 31% (5/16) of the patients on day 1 and 40% (2/5) on day 21. Thrombocytosis was not a prominent feature and was observed in 6% (1/16) of the patients on day 1 and 17% (1/6) on day 9.

Conclusions

Patients with MERS‐CoV infection showed variable hematologic parameters over time. Lymphocytosis and neutropenia were not features of MERS‐CoV infection.

Keywords: Middle East respiratory syndrome, hematologic changes, biochemical characteristics

Introduction

The Middle East respiratory syndrome coronavirus (MERS‐CoV) infection was first reported in Saudi Arabia in 2012 1. The World Health Organization (WHO) had reported as of July 6, 2016 a total of 1782 cases including 634 deaths in 26 countries worldwide 2. MERS‐CoV infection was associated with a high case fatality rate (CFR) and subsequently the CFR decreased as more patients had a milder form of the disease 3. Although many studies evaluated the clinical characteristics of MERS‐CoV patients, none of them addressed the temporal changes in hematologic, hepatic or creatinine values 4, 5, 6, 7. Acute renal injury was described in 92% of critically ill patients 5. However, many MERS patients had preexisting chronic renal disease 4, 8, 9. In this study, we evaluated the temporal progression and changes in hematologic, hepatic, and renal function in a cohort of patients over 21 days of hospitalization.

Methods

In this study, we analyzed hematologic, hepatic, and creatinine changes over time in a cohort of 16 admitted patients with MERS‐CoV infection. All patients tested positive for MERS‐CoV using real‐time polymerase chain reaction (RT‐PCR) 4. Day one is the first day of admission, and subsequent days after admission were based on this calculation. Laboratory data were collected for 21 days after admission. This time limit was determined based on the fact that most patients were discharged or were deceased after the defined time interval.

The definition of leukopenia was a leukocyte count <4.0 × 109 cells/L, lymphopenia as a lymphocyte count <1.0 × 109 cells/L, thrombocytopenia as a platelet count <150 × 109 cells/L, and elevations of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were defined as twice the upper reference limit (34 and 55 U/L, respectively) 5. Elevated lactate dehydrogenase (LDH) was considered as a value significantly elevated above the upper normal level of 280 U/L for the purposes of this study.

We collected daily laboratory data and calculated the mean ± standard deviation (SD) for any given parameter. We also calculated the number and percentage of patients who had abnormal laboratory data as defined below. The study was approved by the Institution Review Board (IRB) of Johns Hopkins Aramco Healthcare.

Statistical analysis

The Kendall–Mann test was obtained using SPSS (SPSS for Windows, version 11; SPSS Inc., Chicago, IL, USA; 2002) for the time trend of the individual patient to test for a monotonic trend of the different laboratory variables. To compare the mean of the laboratory values of all patients over time, we used paired t‐test for analysis of variance (anova) test using spss (SPSS for Windows, version 11; SPSS Inc.). In each test, a significant result was considered present when the P value was <0.05.

Results

The serum creatinine for individual patients did not show a significant trend over time using the Kendall–Mann test, except for three patients. The baseline mean serum creatinine ± SD was 4.1 (± 4.2) mg/dL indicating the presence of renal impairment prior to admission in those patients (Table 1). However, the mean serum creatinine of all patients did not change over time.

Table 1.

Creatinine changes over 21 days

Day Number of patients Mean SD
1 16 4.1 4.2
2 11 4.1 3.7
3 14 3.1 2.7
4 11 3.7 3.4
5 10 4.2 3.8
6 11 4.7 4.2
7 7 5.9 4.1
8 8 5.4 4.7
9 6 3.4 2.8
10 8 2.3 2.2
12 9 2.6 2.1
14 10 2.5 2.0
17 6 2.3 1.5
21 5 3.8 2.1

This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

The hepatic function test results for individual patients did not show a significant trend over time using the Kendall–Mann test. The mean ± SD of alkaline phosphatase was 101 ± 34.3 U/L; AST 43.1 ± 25.9 U/L; and LDH 847.7 ± 462.4 U/L. There was no significant change in mean hepatic function tests for all patients over the study period (Table 2). However, there was an increase in these tests at day 21 due to a single patient who developed shock liver.

Table 2.

Liver function tests and changes over time in patients with Middle East respiratory syndrome coronavirus infection

Day Number of patients Alkaline phosphatase Alanine aminotransferase Aspartate aminotransferase Lactate dehydrogenase Bilirubin
Mean SD Mean SD Mean SD Mean SD Number of patients Mean SD
1 10 101 34.3 43.1 25.9 56.0 40.9 847.7 462.4 1 10 0
2 6 114.5 102.3 37.5 7.2 53.5 8.4 728.7 217 4 11.3 2.2
3 4 138 107.5 52.5 29.6 70.8 41.5 959 508 1 14 0
4 3 165.3 147.8 41.3 24.6 70.3 58.5 858.7 522.4 1 12 0
5 2 54.5 27.6 28.5 0.7 22.0 8.5 730.5 111 11 2.7 6.1
6 2 105 22.6 141 163 310.5 422.1 578 43.8 2 19 2.8
8 1 35 0 22 0 22.0 0 802 0 1 7 0
9 1 40 0 23 0 24.0 0 947 0 1 0.5 0.1
10 2 59 25.5 34.5 17.7 55.5 43.1 1112 14.1 6 21 0
12 2 53 15.6 37 25.5 40.5 29 836.5 20.5 1 0.5 0.2
14 3 64 12.1 37 12.5 47.0 35.2 1029.7 262.7 1 6 0
17 1 165 0 36 0 92.0 0 2360 0 3 10.6 3.7
21 4 257.3 160.8 476 793 661.0 1214.3 1825.8 1544

This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

During the 21 days of observation, three patients had a significant increase in white blood cell (WBC) count using the Kendall–Mann test (P = 0.04). There was a significant increase in the mean ± SD of the WBC count from 8.3 ± 4.6 to 14.5 ± 7 × 109 cells/L (P value = 0.001) (Figure 1). Leukocytosis was observed in 31% (5/16) of patients on day 1 and in 80% (4/5) on day 21. Transient leukopenia developed in 6% (1/16) of the patients on day 1 and in 13% (1/8) on day 8. None of the patients had leukopenia after day 8 (Table 3).

Figure 1.

Figure 1

An error bar indicating the mean ± standard deviation of daily white blood cell count (×109/L). [Colour figure can be viewed at http://wileyonlinelibrary.com].

Table 3.

Number and percentage of patients with specified hematologic changes over time in patients with Middle East respiratory syndrome coronavirus infection

Number of White blood cell count, n (%) Platelet count, n (%) Absolute neutrophil count, n (%) Absolute lymphocyte count, n (%)
Days Patients Leukopenia Leukocytosis Thrombocytopenia Thrombocytosis Neutrophilia Neutropenia Lymphopenia Lymphocytosis
1 16 1 (6) 5 (31) 5 (31) 1 (6) 1 (6) 0 (0) 7 (44) 0 (0)
2 11 2 (18) 1 (9) 3 (27) 1 (9) 1 (9) 0 (0) 6 (55) 0 (0)
3 13 2 (15) 2 (15) 3 (23) 1 (8) 1 (8) 0 (0) 7 (54) 0 (0)
4 12 1 (8) 3 (25) 2 (17) 1 (8) 2 (17) 0 (0) 6 (50) 0 (0)
5 11 1 (9) 3 (27) 1 (9) 1 (9) 1 (9) 0 (0) 5 (45) 1 (9)
6 11 1 (9) 4 (36) 1 (9) 1 (9) 1 (9) 0 (0) 6 (55) 1 (9)
7 7 1 (14) 3 (43) 0 (0) 1 (14) 2 (29) 0 (0) 5 (71) 0 (0)
8 8 1 (13) 5 (63) 0 (0) 1 (13) 2 (25) 0 (0) 5 (63) 0 (0)
9 6 0 (0) 3 (50) 0 (0) 1 (17) 1 (17) 0 (0) 3 (50) 0 (0)
10 8 0 (0) 3 (38) 1 (13) 1 (13) 1 (13) 0 (0) 4 (50) 0 (0)
12 10 0 (0) 6 (60) 1 (10) 1 (10) 0 (0) 0 (0) 7 (70) 0 (0)
14 8 0 (0) 5 (63) 2 (25) 0 (0) 4 (50) 0 (0) 6 (75) 1 (9)
17 6 0 (0) 4 (67) 1 (17) 0 (0) 4 (67) 0 (0) 4 (67) 0 (0)
21 5 0 (0) 4 (80) 2 (40) 0 (0) 2 (40) 0 (0) 3 (60) 0 (0)

This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

There was a significant increase in the mean ± SD of the absolute neutrophil count from 6.3 ± 4.2 to 12 ± 5.5 × 109 cells/L (P value = 0.015) (Figure 2), and five patients had a significant correlation of the trend of absolute neutrophil count over time (P value = 0.02; Kendall–Mann test). Over the course of the observation, neutrophilia was observed in 6% (1/16) of the patients on day 1 and in 25% (2/8) on day 8. None of the patients had neutropenia during the hospitalization.

Figure 2.

Figure 2

An error bar indicating the mean ± standard deviation indicating daily absolute neutrophil (PMN) count (×109/L). [Colour figure can be viewed at http://wileyonlinelibrary.com].

The mean ± SD of the absolute lymphocyte count showed no significant change over time for the entire group of patients (P = 0.78) (Figure 3). Three patients had a significant correlation in the trend of lymphocyte count over time (P value = 0.01; Kendall–Mann test). Over the study period, lymphopenia was a prominent feature with a rate of 44% (7/16) of the patients on day 1 and 60% (3/5) on day 21. Lymphocytosis was not a feature of MERS‐CoV infection (Table 3).

Figure 3.

Figure 3

An error bar indicating the mean ± standard deviation indicating daily absolute lymphocyte count (×109/L). [Colour figure can be viewed at http://wileyonlinelibrary.com].

The mean ± SD of platelet count showed no significant change over time for the whole group of patients (P = 0.49) (Figure 4). Nine patients had a significant correlation in the trend of platelet count over time (P value < 0.05; Kendall–Mann test). Thrombocytopenia developed in 31% (5/16) of the patients on day 1 and 40% (2/5) on day 21. Thrombocytosis was not a prominent feature and was observed in 6% (1/16) of the patients on day 1 and 17% (1/6) on day 9.

Figure 4.

Figure 4

An error bar indicating the mean ± standard deviation indicating daily platelet count (×109/L). [Colour figure can be viewed at http://wileyonlinelibrary.com].

Discussion

In this study, we evaluated longitudinal trends of laboratory parameters in patients with MERS‐CoV infection. Acute kidney injury is one of the complications or preexisting conditions of MERS‐CoV infection. The initially described hospital outbreak occurred in a hemodialysis unit among patients with chronic renal failure 8. Similarly, the majority of the patients in this cohort had preexisting renal insufficiency. In a cohort of intensive care unit (ICU) patients, renal replacement therapy was initiated in 58% of patients compared with 5% of severe acute respiratory syndrome (SARS) patients 5. Acute renal injury may be caused directly by MERS‐CoV as summarized in 12 cases 10. Renal epithelial cells were more likely to produce infectious MERS‐CoV progeny than bronchial epithelial cells 10. However, MERS‐CoV was detected infrequently in urine 11.

Lymphopenia was a prominent feature with a rate of 44–60%, and lymphocytosis was not a feature of MERS‐CoV infection. It was stated that patients with MERS‐CoV infection typically have lymphopenia 1, 4, 8, 9, 12, 13, 14. Of ICU patients with MERS‐CoV infection, nine of 12 patients (75%) had lymphopenia on day 1, and 11 (92%) during the ICU stay 5. In one study of 47 cases, lymphopenia was an initial feature of 34% compared with lymphocytosis in 11% 9. However, lymphopenia was not a feature of the disease when comparing MERS‐CoV patients and those without MERS 4. Previously reported lymphocyte count ranges were as follows: 1.55 4, 0.9 (range 0.3–2.7) 5, 0.9 (range 0.6–1.2) 7, 0.9 (range 0.5–6.9) 6.

It was reported that 91% of 47 MERS‐CoV cases had normal neutrophil counts on admission 9. The current study showed a normal neutrophil count with a significant increase in the mean (±SD) count over time. In a case–control study, there was no difference in neutrophil count between MERS cases and other patients with community acquired respiratory infection 4. In the current study, transient leukopenia developed in 9–18% of the patients until day 8 of observation, and 9–80% of the patients had leukocytosis until day 21. The increase in the WBC count over time is probably a reflection of the development of sepsis or superimposed bacterial infections.

Thrombocytopenia developed in 31% of patients on day 1 and 40% of patients on day 21 and thrombocytosis was not a prominent feature in the current study. Variable degrees of thrombocytopenia were inconsistently reported in previous studies 15. In critically ill ICU MERS‐CoV patients, thrombocytopenia was noted in two patients on day 1 and in seven patients (58%) during the ICU stay 5. In the first reported hospital outbreak in Al‐Hasa, four patients had low platelet counts (110 × 109/L to 122 × 109/L) and only one patient had a high platelet count (468 × 109/L) 8. In a study of 47 MERS‐CoV cases, thrombocytopenia developed initially in 36% of cases 9. Thrombocytopenia is a nonspecific finding in many viral infections such as SARS 16, 17. In SARS cases, thrombocytopenia developed initially and was then followed by reactive thrombocytosis 16. Reactive thrombocytosis was only seen in 6–17% of the patients in the current study.

Elevated levels of LDH, AST, and ALT were found in 49%, 15–53%, and 11–18% of patients with MERS‐CoV 4, 8, 9. We observed no significant trend over time in hepatic panels. There was a general elevation in LDH from the first day of observation with no significant increase over time. In comparison, patients with SARS showed elevation of LDH in 50–70% of cases 18, 19, 20. Elevated LDH could be a marker of severe pneumonia and was associated with death in patients with Legionella pneumophilia 21. LDH is also a surrogate marker for steroid therapy in pediatric Mycoplasma pneumoniae pneumonia 22 and it is a predictor of refractory M. pneumoniae pneumonia 23. To our knowledge, LDH was not examined systematically in admitted patients with MERS‐CoV infection. Although more MERS‐CoV patients had elevated LDH (47%) vs. other causes of pneumonia (29%), the difference was not statistically different 4. The utility of this marker for the prediction of MERS‐CoV pneumonia progression and therapy requires further studies.

In conclusion, MERS‐CoV infection was associated with variable hematologic parameters over time including significant leukocytosis and neutrophilia. Lymphocytosis and neutropenia were not common features of MERS‐CoV infection. The utility of LDH as a marker for the prediction of MERS‐CoV pneumonia progression and therapy requires further studies.

Funding

None of the authors have received funding for their contributions.

Conflict of Interest

The authors declare no conflict of interest.

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