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Research Article | Volume 15 Issue 5 (May, 2025) | Pages 704 - 708
Study of Hematological and Biochemical Parameters in Covid-19 Positive Patients - A Retrospective Study
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1
Associate Professor, Dept of Pathology RGSSH (OPEC) RIMS, Raichur & Incharge, Central Laboratory RGSSH, RIMS Raichur
2
Associate Professor, Department of Pathology, PES University Institute of Medical Sciences and Research, Bangalore
3
Associate Professor, Dept of Pathology HIMS, Hassan
4
Associate Professor, Dept of Anatomy, RIMS, Raichur
5
Director, Sai Fertility Centre Raichur
6
Special Officer, RGSSH, RIMS, Raichur
Under a Creative Commons license
Open Access
Received
April 10, 2025
Revised
April 25, 2025
Accepted
May 13, 2025
Published
May 29, 2025
Abstract

Background: Coronavirus Disease 2019 (COVID-19), caused by SARS-CoV-2, exhibits a broad spectrum of clinical presentations, from asymptomatic infection to severe disease requiring intensive care. Hematological and biochemical parameters are valuable tools for assessing disease severity and guiding clinical management. Objective: To evaluate and compare hematological and biochemical parameters in COVID-19 positive patients based on gender and admission status (ICU vs  Non - ICU). Methods: A retrospective observational study was conducted on 477 COVID-19 RT-PCR positive patients admitted at Rajiv Gandhi Super Speciality Hospital (RGSSH) , OPEC , Raichur Institute of Medical Sciences (RIMS) , Raichur, a tertiary care hospital between June 2021 and May 2022. Demographic, hematological, and biochemical data were collected and analyzed using descriptive statistics and independent t-tests. Results: Of the 477 patients, 61% were male and 39% female. ICU admissions accounted for 44.9% of cases. ICU patients had significantly higher neutrophil-to-lymphocyte ratio (NLR), total leukocyte count (TLC), and neutrophil percentage, and lower lymphocyte and monocyte percentages compared to Non-ICU patients (p < 0.05). Liver function parameters, including bilirubin, transaminases, albumin, and LDH, did not show statistically significant differences between ICU and Non-ICU patients or between genders. Conclusion: Hematological parameters, especially NLR, TLC, and Differential Counts, showed significant variations with disease severity, supporting their role as accessible prognostic markers. Liver function parameters did not significantly correlate with disease severity or gender in this cohort.

Keywords
INTRODUCTION

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in late 2019 and rapidly escalated into a global pandemic, significantly impacting healthcare systems worldwide [1]. The disease presents with a wide range of clinical manifestations, from asymptomatic infection and mild upper respiratory illness to severe pneumonia, acute respiratory distress syndrome (ARDS), multiorgan failure, and death [2,3]. Identifying laboratory parameters that predict disease severity and progression is crucial for the early triage and management of patients.

Hematological and biochemical markers have been increasingly investigated for their role in assessing the clinical status and prognosis of COVID-19 patients. Notably, parameters such as total leukocyte count (TLC), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte percentage have been reported to correlate with disease severity [4,5]. Elevated NLR has emerged as a significant prognostic marker, reflecting the imbalance between innate and adaptive immune responses [6]. Similarly, abnormalities in liver function tests (LFTs), including raised transaminases, hypoalbuminemia, and elevated lactate dehydrogenase (LDH), have been associated with poor outcomes, likely indicating systemic inflammation or hepatic involvement [7,8].

 

Multiple studies have shown that ICU-admitted COVID-19 patients tend to exhibit marked hematological derangements and biochemical abnormalities compared to those managed in general wards [9,10]. Furthermore, gender and age differences may influence immune response and biochemical alterations, possibly affecting disease course and outcomes [11]. Given the significance of these findings, the present study aims to retrospectively evaluate the hematological and biochemical profiles of COVID-19 positive patients admitted to a tertiary care hospital. By comparing these parameters between ICU and Non-ICU admissions and across genders, we hope to provide insights into the clinical utility of routine laboratory tests in stratifying disease severity and aiding management decisions.

 

MATERIALS AND METHODS

Study Design and Setting

This was a Retrospective Observational Study conducted at the Dept of Pathology, Central Laboratory, RGSSH (OPEC), RIMS, Raichur a tertiary care institute, analyzing medical records of patients who were tested positive for COVID-19 and were admitted between June 2021 to May 2022.

 

Study Population

A total of 477 COVID-19 positive patients confirmed by RT-PCR were included in the study. Patients of all age groups and both genders were included. Patients with incomplete medical records or those referred from other hospitals after treatment were excluded.

Data Collection

  • Data was retrieved from the laboratory information system (LIS). The following information was extracted:
  • Demographic details: Age and Gender.
  • Clinical data: Place of admission (ICU or Non-ICU).
  • Hematological parameters: Total Leukocyte Count (TLC), Neutrophil (%), Lymphocyte (%), Monocyte (%), Eosinophil (%), Erythrocyte Sedimentation Rate (ESR), and Neutrophil-to-Lymphocyte Ratio (NLR).
  • Biochemical parameters

Liver function parameters (LFTs): Total Bilirubin, Direct Bilirubin, SGOT (AST), SGPT (ALT), Alkaline Phosphatase (ALP), Total Protein, Albumin, Globulin, and Lactate Dehydrogenase (LDH).

 

 

 

 

Data Analysis

  • Patients were grouped based on gender, age, and place of admission (ICU vs Non- ICU)
  • Descriptive statistics were used to summarize the data. Frequencies and percentages were reported for categorical variables, while mean’s and standard deviations were calculated for continuous variables.
  • Comparative analysis of hematological and biochemical parameters was performed between ICU and Non-ICU patients, and between male and female patients using independent sample t-tests.
  • A p-value < 0.05 was considered statistically significant.

 

Ethical Considerations

The study was approved by the Institutional Ethics Committee. Since this was a retrospective study utilizing anonymized patient data, individual informed consent was waived.

 

RESULTS

Table 1: Distribution of study participants based on Gender,

Gender

Frequency

Percent

Female

186

39

Male

291

61

Total

477

100

Among the 477 persons studied 186 (39%) were females and 291 (61%) were males.

 

Table 2: Distribution of study participants based on Age group.

Age group

Frequency

Percent

1- 20 years

29

6.1

21 - 40 years

142

29.8

41 - 60 years

217

45.5

61 - 80 years

83

17.4

>80 years

6

1.3

Total

477

100.0

Among the 477 persons studied 29 (6.1%) were belonging to the age group of 1- 20 years, 142 (29.8%) were aged 21-40 years, 217 (45.5%) were aged 41- 60 years. 83 (17.4%) were aged between 61 -80 years and only 6 (1.3%) were aged above 80 years

 

Table 3: Distribution of study participants based on place of admission/outcome,

Admission

Frequency

Percent

Admitted in ICU

214

44.9

Admitted in Non- ICU Ward

263

55.1

Total

477

100.0

Among the studied population 214 (44.9%) were in admitted in ICU and 263 (55.1%) were admitted in the Non- ICU ward .

 

Table 4: Comparison of Blood parameters with the admission outcome.

Blood parameter

Outcome

N

Mean

Standard Deviation

P value

NLR Ratio

Non - ICU

263

4.201

2.9165

<0.001*

ICU

214

6.412

7.2953

TLC

N0n-ICU

263

10924.943

4750.0177

<0.001*

ICU

214

13262.056

8659.0529

Neutrophil

Non - ICU

263

72.156

10.9904

<0.001*

ICU

214

76.921

10.8770

Lymphocyte

Non - ICU

263

23.046

9.9659

<0.001*

ICU

214

18.379

9.1108

Monocyte

Non - ICU

263

2.772

1.6302

0.023*

ICU

214

2.463

1.2507

Eosinophil

Non - ICU

263

1.928

1.0182

0.629

ICU

214

1.879

1.2041

ESR

Non - ICU

263

30.411

17.2228

0.828

ICU

214

30.760

17.7926

  There was statistically significant higher NLR ratio, TLC, Neutrophil count in ICU patients compared to Non-ICU patients, whereas Lymphocytes count was lower in ICU patients compared to Non-ICU patients. There was a statistically significant lower monocyte count in those admitted in ICU compared to those admitted in Non- ICU ward. There was no statistically significant difference in ESR level with respect to admission or outcome.

  

Table 5: Comparison of LFT parameters with the admission outcome

 LFT parameter

Outcome

N

Mean

Standard Deviation

P value

Total Bilirubin

Non - ICU

263

0.927

0.7198

0.929

ICU

214

0.921

0.6052

Direct Bilirubin

Non - ICU

263

0.339

0.4027

0.925

ICU

214

0.336

0.3409

SGOT

Non - ICU

263

28.472

12.7623

0.908

ICU

214

28.346

10.5195

SGPT

Non -ICU

263

30.696

16.4984

0.876

ICU

214

30.909

12.6015

ALP

Non - ICU

263

101.080

155.0876

0.474

ICU

214

111.136

149.3171

Total Protein

Non - ICU

263

6.692

0.5656

0.392

ICU

214

6.648

0.5456

Albumin

Non - ICU

263

3.657

0.4074

0.332

ICU

214

3.621

0.3843

Globulin

Non - ICU

263

3.05

0.476

0.969

ICU

214

3.05

0.510

LDH

Non -ICU

263

460.605

420.2224

0.778

ICU

214

471.188

391.0124

 There was no statistically significant difference in levels of various LFT function tests with the admission outcome.

 

Table 6: Comparison of Blood parameters with the gender.

Blood parameter

Gender

N

Mean

Standard Deviation

P value

NLR Ratio

Female

186

5.516

7.0975

0.301

Male

291

4.986

4.0643

TLC

Female

186

11366.613

5267.8273

0.124

Male

291

12361.340

7719.3087

Neutrophil

Female

186

75.366

9.8225

0.094

Male

291

73.608

11.9374

Lymphocyte

Female

186

20.161

8.9241

0.162

Male

291

21.457

10.3970

Monocyte

Female

186

2.570

1.4512

0.456

Male

291

2.674

1.4971

Eosinophil

Female

186

1.790

0.9439

0.068

Male

291

1.979

1.1917

ESR

Female

186

31.380

15.9316

0.417

Male

291

30.048

18.3832

          There was no statistically significant difference in levels of various blood parameters with the gender.

Table 7: Comparison of LFT parameters with the gender.

 LFT parameter

Gender

N

Mean

Standard Deviation

P value

Total Bilirubin

Female

186

0.918

0.6731

0.860

Male

291

0.929

0.6694

Direct Bilirubin

Female

186

0.309

0.2324

0.191

Male

291

0.355

0.4433

SGOT

Female

186

27.495

8.9740

0.080

Male

291

29.004

13.2729

SGPT

Female

186

29.301

11.0691

0.876

Male

291

31.744

16.7949

ALP

Female

186

111.000

184.7565

0.536

Male

291

102.134

127.8290

Total Protein

Female

186

6.637

0.5255

0.262

Male

291

6.695

0.5753

Albumin

Female

186

3.617

0.3164

0.294

Male

291

3.656

0.4410

Globulin

Female

186

3.04

0.492

0.822

Male

291

3.05

0.491

LDH

Female

186

430.817

366.0199

0.139

Male

291

487.427

430.3026

          There was no statistically significant difference in the levels of various LFT function tests with the gender.

 

DISCUSSION

The current study evaluated the hematological and biochemical parameters in 477 , COVID-19 positive patients to explore their association with clinical severity and outcomes. A significant proportion of the patients were male (61%), consistent with global data suggesting a higher incidence and severity of COVID-19 in males [1,2].

 

The age distribution revealed that the majority of patients belonged to the 41–60 years age group, which aligns with findings by Chen et al. and Guan et al., where middle-aged and elderly populations were more frequently and severely affected [3,4]. This may be attributed to age-related immunosenescence and the presence of comorbidities.

 

A total of 44.9% of patients required ICU admission, suggesting a considerable burden of moderate-to-severe disease in the Cohort. Hematological analysis showed a significantly elevated Neutrophil-to-Lymphocyte Ratio (NLR), Total Leukocyte Count (TLC), and neutrophil percentage in ICU patients, while lymphocyte percentage and monocyte counts were significantly lower. These findings are in line with previous studies, which have demonstrated that elevated NLR and leukocytosis are associated with disease severity and poor outcomes in COVID-19 [5,6]. Lymphopenia, a hallmark of severe COVID-19 infection, indicates impaired adaptive immunity and has been reported as an early marker of severity [7,8].

 

The absence of significant differences in eosinophil counts and ESR, between ICU and Non-ICU groups is similar to findings from other retrospective studies, which suggest that these markers are not reliable predictors of COVID-19 severity [9]. Liver function test (LFT) parameters, including bilirubin, transaminases, and albumin levels, did not differ significantly between ICU and Non-ICU patients. This suggests that hepatic dysfunction was not a prominent feature in this Cohort, unlike some earlier reports which

 

found elevated liver enzymes in severe cases, possibly due to direct viral injury or drug-induced hepatotoxicity [10,11].

 

When comparing hematological and LFT parameters based on gender, no statistically significant differences were observed. Although some studies have reported higher inflammatory and liver injury markers in males [12], the lack of significant variation in the current study could be due to the balanced clinical management and supportive care provided to all patients.

Overall, the study highlights that hematological parameters, particularly NLR and TLC, are more reliable indicators of disease severity compared to biochemical liver parameters. These readily available markers can be used in early risk stratification and monitoring of COVID-19 patients.

CONCLUSION

This retrospective study highlights the importance of hematological parameters, especially the Neutrophil-to-Lymphocyte Ratio (NLR), Total Leukocyte Count (TLC), and lymphocyte percentage, as reliable indicators of disease severity in COVID-19 patients. Patients requiring ICU care demonstrated significantly altered hematological profiles, indicating their potential utility in early risk assessment and clinical decision-making. Conversely, liver function test (LFT) parameters showed no significant association with disease severity in this Cohort, suggesting that hepatic involvement may not be a consistent feature in all COVID-19 patients. The findings support the use of simple, cost-effective hematological tests in the triage and management of COVID-19 cases, especially in resource-limited settings. Future prospective studies with larger sample sizes and longer follow-up periods are recommended to validate these results and explore additional prognostic markers.

REFERENCES

1.       Jin JM, Bai P, He W, et al. Gender differences in patients with COVID-19: Focus on severity and mortality. Front Public Health. 2020;8:152. https://doi.org/10.3389/fpubh.2020.00152

2.       Scully EP, Haverfield J, Ursin RL, Tannenbaum C, Klein SL. Considering how biological sex impacts immune responses and COVID-19 outcomes. Nat Rev Immunol. 2020;20(7):442–447. https://doi.org/10.1038/s41577-020-0348-8

3.       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. https://doi.org/10.1016/S0140-6736(20)30211-7

4.       Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–1720. https://doi.org/10.1056/NEJMoa2002032

5.       Liu Y, Du X, Chen J, et al. Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. J Infect. 2020;81(1):e6–e12. https://doi.org/10.1016/j.jinf.2020.04.002

6.       Lagunas-Rangel FA. Neutrophil-to-lymphocyte ratio and lymphocyte-to-C-reactive protein ratio in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis. J Med Virol. 2020;92(10):1733–1734. https://doi.org/10.1002/jmv.25819

7.       Tan L, Wang Q, Zhang D, et al. Lymphopenia predicts disease severity of COVID-19: A descriptive and predictive study. Signal Transduct Target Ther. 2020;5(1):33. https://doi.org/10.1038/s41392-020-0148-4

8.       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. https://doi.org/10.1016/S0140-6736(20)30183-5

9.       Vardhana SA, Wolchok JD. The many faces of the anti-COVID immune response. J Exp Med. 2020;217(6):e20200678. https://doi.org/10.1084/jem.20200678

10.    Zhang C, Shi L, Wang FS. Liver injury in COVID-19: management and challenges. Lancet Gastroenterol Hepatol. 2020;5(5):428–430. https://doi.org/10.1016/S2468-1253(20)30057-1

11.    Fan Z, Chen L, Li J, et al. Clinical Features of COVID-19-related Liver Functional Abnormality. Clin Gastroenterol Hepatol. 2020;18(7):1561–1566. https://doi.org/10.1016/j.cgh.2020.04.002

12.    Peckham H, de Gruijter NM, Raine C, et al. Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission. Nat Commun. 2020;11(1):6317. https://doi.org/10.1038/s41467-020-19741-6

 

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