Literature DB >> 35754946

Correlation between vitamin D level and severity of prognostic markers in Egyptian COVID-19 patients: a cohort study.

Hala Ramadan1, Ahmed Mohammed Shennawy1.   

Abstract

The outbreak of coronavirus disease 2019 (COVID-19), which is caused by the highly contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was announced a pandemic in March 2020 by the World Health Organization. The disease can be diagnosed on the basis of clinical symptoms, polymerase chain reaction positivity, and the presence of ground-glass opacities on computed tomography (CT) scans. Recent studies have focused on the role of serum inflammatory markers that predict COVID-19, such as lymphocyte counts and C-reactive protein (CRP), homocysteine, and D-dimer levels. Vitamin D is thought to reduce the risk of viral infections through several mechanisms. Our aim was to evaluate the correlation between serum vitamin D level and inflammatory markers and severity in Egyptian patients with COVID-19 infection. Serum vitamin D level had a positive correlation with hemoglobin level and lymphocytes. As results, serum vitamin D had a negative correlation with serum ferritin, CRP, and D-dimer and was not correlated with CORAD scoring in the CT chest. In conclusion, serum vitamin D was inversely correlated with inflammatory markers (ferritin, CRP, and D-dimer) which mean that participants with symptoms of COVID-19 had a high level of inflammatory markers and a low level of vitamin D. Participants without symptoms of COVID-19 had normal inflammatory markers and normal vitamin D level.
© The Author(s) 2022.

Entities:  

Year:  2022        PMID: 35754946      PMCID: PMC9214466          DOI: 10.1186/s43162-022-00131-x

Source DB:  PubMed          Journal:  Egypt J Intern Med        ISSN: 1110-7782


Introduction

The outbreak of coronavirus disease 2019 (COVID-19), which is caused by the highly contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was announced a pandemic in March 2020 by the World Health Organization. The disease mainly affects the respiratory system and spreads via aerosols released during sneezing and coughing [1, 2]. The main symptoms of COVID-19 are fever, cough, runny nose, nasal congestion, shortness of breath, headache, and myalgia [2, 3]. The disease can be diagnosed on the basis of clinical symptoms, polymerase chain reaction positivity, and the presence of ground-glass opacities on computed tomography (CT) scans [4]. Recent studies have focused on the role of serum inflammatory markers that predict COVID-19, such as lymphocyte counts and C-reactive protein (CRP), homocysteine, and D-dimer levels [5, 6]. The levels of ferritin, a crucial immune response mediator, increase in severe COVID-19 cases. Increased ferritin levels could cause a cytokine storm by exerting direct immunosuppressive and pro-inflammatory effects. D-dimer is a fibrin degradation product used to exclude the diagnosis of thrombosis [7]. Vitamin D, which affects the nuclear vitamin D receptor, enhances innate cellular immunity by inducing antimicrobial peptides. Vitamin D is thought to reduce the risk of viral infections through several mechanisms, and decreased vitamin D levels have been observed in patients with viral pneumonia [8]. Observational studies suggest that vitamin D has some antiviral properties, and vitamin D supplementation might decrease the risk of respiratory infections. These findings are simple but may play a significant role in our attempts to fight against the COVID-19 pandemic and other infections by minimizing health-related complications through simple intervention [9].

Aim of the work

Our aim is to evaluate the correlation between serum vitamin D level and inflammatory markers and the severity of symptoms in Egyptian patients with COVID-19 infection.

Patients and methods

Our work was conducted on COVID-19 Egyptian patients non-symptomatic and symptomatic (with mild, moderate, and severe symptoms) in outpatient clinics, Internal Medicine Hospital, Kasr Alainy Hospital, Faculty of Medicine, Cairo University.

Patient population

The symptomatic group (1) with COVID-19 infection included 71 patients who had mild, moderate, and severe symptoms with a positive nasal swab (PCR) for COVID-19 infection and ground-glass opacities (GGO) in computed tomography (CT) chest. The non-symptomatic group (2) included 74 patients who had a positive nasal swab (PCR) for COVID-19 infection but without symptoms. COVID-19 infection was confirmed by doing a nasal swab (PCR for coronavirus), and a CT chest was done for symptomatic patients. We measured the following: Complete blood count, serum vitamin (D), D-dimer, CRP, and serum ferritin Complete blood count was estimated using a cell counter by cell Dyn machine Hb level: male: 13.2–16.6 g/L, female: 11.6–15 g/L TLC: 3400–9600 cells/mcL Platelets: 150,000–450,000 cells/mcL Vitamin D was measured by competitive binding methods, high-performance liquid chromatography (HPLC), and radioimmunoassay (RIA) Normal vitamin D level: .30–50 ng/ml The Alere Triage® D-Dimer Test was used to measure D-dimer in EDTA anticoagulated whole blood and plasma specimens. Normal D-dimer level: ˂ 0.05 μg/ml CRP was estimated by using nephelometry DN100 Normal CRP level: ˂ 5 mg/L Serum ferritin was measured in a Cobas e601 device with ECLIA being also measured in an immunoturbidimetric Cobas c501 device. Normal serum ferritin level: 20–250 ng/ml The severity of COVID-19 was assessed by using the modified National Early Warning Score (NEWS) which includes the following points: age, respiratory rate, O2 saturation, systolic blood pressure, heart rate, any O2 supplementation, conscious level, and temperature [10]. Each item took a score from 0 to 3 The severity of COVID-19 was classified according to the score from 0 to ≥ 7: 0 score = no risk 1–4 score = low risk 5–6 score = moderate risk ≥ 7 score = high risk

Inclusion criteria

- COVID-19 Egyptian patients (males and females) ≥18 years old, asymptomatic and symptomatic (with mild, moderate, and severe symptoms)

Exclusion criteria

Patients with active inflammation Patients with autoimmune diseases Patients with recent thrombosis Patients with a history of bone diseases Menopausal women

Results

Our work was conducted on patients who visited outpatient clinics and patients admitted to the isolation department in Internal Medicine Hospital, Kasr Alainy, Faculty of Medicine, Cairo University. Patients were divided into two groups: Symptomatic group (71 patients) Non-symptomatic group (74 patients) All patients (symptomatic and non-symptomatic) had a positive nasal swab for PCR of COVID-19 infection.

Comparison between groups

Data analysis

Non-symptomatic patients were younger than symptomatic patients (p value < 0.012) as shown in Table 1 (Fig. 1).
Table 1

Age and investigations of the patients

Symptomatic patientsNon-symptomatic patientsp value
MeanSDMedianMinimumMaximumMeanSDMedianMinimumMaximum
Age32.079.9730.0018.0054.0035.505.3734.5025.0049.000.012
SO2 %97.581.7598.0090.0099.0097.571.0998.0095.0099.000.968
Hb12.291.4612.309.0016.0012.370.7512.2011.0014.000.685
PLT305.6187.99300.00150.00560.00262.3249.33261.50170.00393.00<0.001
TLC5526.761962.876000.002600.0014000.007224.321649.317400.004400.0010300.00<0.001
Lymph1510.56543.601400.00200.003000.003192.57660.513300.001800.004300.00<0.001
Neutro4097.622423.944000.00300.0012000.003270.271053.793000.001800.007500.000.082
Ferritin162.69180.6987.005.00900.0053.3927.1848.5017.00102.00<0.001
CRP19.5327.6211.001.00150.002.781.213.001.005.00<0.001
D-dimer0.420.240.300.101.200.320.160.300.100.600.023
Vit D14.939.2512.002.0051.0039.464.5439.0030.0049.00<0.001
Fig. 1

Age of the patients

Age and investigations of the patients Age of the patients Platelet count and total leucocytic count were higher in symptomatic patients than in non-symptomatic patients (p value < 0.001) as shown in Table 1 (Figs. 2 and 3).
Fig. 2

Platelet count of the patients

Fig. 3

Total leucocytic count of COVID 19 patients (symptomatic and non-symptomatic)

Platelet count of the patients Total leucocytic count of COVID 19 patients (symptomatic and non-symptomatic) - Lymphocytic count was low in symptomatic patients but normal in non-symptomatic patients (p value < 0.001) as shown in Table 1 (Fig. 4).
Fig. 4

Lymphocytic count of COVID 19 patients (symptomatic and non-symptomatic)

Lymphocytic count of COVID 19 patients (symptomatic and non-symptomatic) Serum ferritin level was high in symptomatic patients but normal in non-symptomatic patients (p value < 0.001), CRP level was high in symptomatic patients but normal in non-symptomatic patients (p value < 0.001), D-dimer level was high in symptomatic patients but normal in non-symptomatic patients (p value 0.023), and vitamin D level was low in symptomatic patients but normal in non-symptomatic patients (p value < 0.001) as shown in Table 1 (Figs. 5, 6, 7, and 8).
Fig. 5

Serum ferritin level of COVID 19 patients (symptomatic and non-symptomatic)

Fig. 6

C-Reactive protein level of COVID 19 patients (symptomatic and non-symptomatic)

Fig. 7

Serum D-dimer level of COVID 19 patients (symptomatic and n0n-symptomatic)

Fig. 8

Serum vitamin D level of COVID 19 patients (symptomatic and n0n-symptomatic)

Serum ferritin level of COVID 19 patients (symptomatic and non-symptomatic) C-Reactive protein level of COVID 19 patients (symptomatic and non-symptomatic) Serum D-dimer level of COVID 19 patients (symptomatic and n0n-symptomatic) Serum vitamin D level of COVID 19 patients (symptomatic and n0n-symptomatic) According to the severity score of symptomatic patients, the results were that: There were no severe risky patients. There were 21 moderate risky patients. There were 50 mild risky patients (p value 0.025) as shown in Table 2.
Table 2

Symptoms and comorbidities of the patients

Symptomatic patientsNon-symptomatic patientsp value
Count%Count%
GenderMale1926.8%3040.5%0.079
Female5273.2%4459.5%
SmokingYes2129.6%79.5%< 0.001
No5070.4%6790.5%
DMYes79.9%00.0%0.006
No6490.1%74100.0%
ObesityYes2129.6%810.8%0.006
No5070.4%6689.2%
HTNYes811.3%00.0%0.003
No6388.7%74100.0%
FeverYes4867.6%00.0%< 0.001
No2332.4%74100.0%
CoughYes4462.0%00.0%< 0.001
No2738.0%74100.0%
AnosmiaYes3042.3%00.0%< 0.001
No4157.7%74100.0%
DiarrheaYes1419.7%00.0%< 0.001
No5780.3%74100.0%
CT (CORADS)534.2%00.0%< 0.001
422.8%00.0%
379.9%00.0%
268.5%00.0%
15374.6%00.0%
000.0%74100.0%
SeverityModerate risk2129.6%00.0%0.025
Low risk5070.4%00.0%
Symptoms and comorbidities of the patients The percentage of smoking and obesity was higher in symptomatic patients than in non-symptomatic patients (p value < 0.001 and 0.006) respectively as shown in Table 2 (Figs. 9 and 10).
Fig. 9

Percentage of smoking in the patients

Fig. 10

Percentage of DM in the patients

Percentage of smoking in the patients Percentage of DM in the patients The percentage of diabetes and hypertension was higher in symptomatic patients than in non-symptomatic patients (p value < 0.006 and 0.003) respectively as shown in Table 2 (Figs. 11 and 12).
Fig. 11

Percentage of obesity in the patients

Fig. 12

Percentage of HTN in the patients

Percentage of obesity in the patients Percentage of HTN in the patients Symptomatic patients presented mostly by fever, anosmia, cough, and diarrhea (p value < 0.001) as shown in Table 2 (Figs. 13, 14, 15, and 16).
Fig. 13

Percentage of fever in the patients

Fig. 14

Percentage of cough in the patients

Fig. 15

Percentage of anosmia in the patients

Fig. 16

Percentage of diarrhea in the patients

Percentage of fever in the patients Percentage of cough in the patients Percentage of anosmia in the patients Percentage of diarrhea in the patients Symptomatic patients had ground-glass opacities (GGO) in their CT chest (p value < 0.001) as shown in Table 2 (Fig. 17).
Fig. 17

Percentage of CT (CORADS) staging in the patients

Percentage of CT (CORADS) staging in the patients

Vitamin D relationships with inflammatory markers in COVID-19 patients (symptomatic and non-symptomatic)

Serum vitamin D was low in females than in males (p value 0.014) as shown in Table 3 (Fig. 18).
Table 3

Relationship between serum vitamin D level and symptoms and comorbidities of the patients

Vit D
MeanStandard DeviationMedianMinimumMaximump value
GenderMale19.219.7717.008.0034.000.014
Female13.378.6310.002.0051.00
SmokingYes22.0011.8026.505.0030.000.279
No14.519.0111.002.0051.00
DMYes13.579.1311.005.0028.000.505
No15.089.3212.002.0051.00
ObesityYes8.883.188.505.0015.000.026
No15.709.4913.002.0051.00
HTNYes15.2510.4411.005.0031.000.841
No14.899.1812.002.0051.00
FeverYes14.359.4010.504.0051.000.196
No16.139.0113.002.0034.00
CoughYes16.1610.2213.002.0051.000.233
No12.937.149.004.0032.00
AnosmiaYes13.477.9810.502.0031.000.280
No16.0010.0412.004.0051.00
DiarrheaYes16.4310.0213.005.0032.000.643
No14.569.1111.002.0051.00
SeverityModerate risk7.330.587.007.008.000.027
Low risk15.269.3112.002.0051.00
Fig. 18

Correlation between serum vitamin D level and sex of COVID 19 patients (symptomatic and non-symptomatic)

Relationship between serum vitamin D level and symptoms and comorbidities of the patients Correlation between serum vitamin D level and sex of COVID 19 patients (symptomatic and non-symptomatic) Serum vitamin D was low in obese symptomatic patients (p value 0.026) as shown in Table 3 (Fig. 19).
Fig. 19

Correlation between serum vitamin D level and obesity in COVID 19 patients (symptomatic and non-symptomatic)

Correlation between serum vitamin D level and obesity in COVID 19 patients (symptomatic and non-symptomatic) Serum vitamin D level was lower in moderate risky symptomatic patients than in mild risky symptomatic patients (p value 0.027) as shown in Table 3 (Fig. 20).
Fig. 20

Correlation between serum vitamin D level and the severity of symptoms in COVID 19 patients (symptomatic and non-symptomatic)

Correlation between serum vitamin D level and the severity of symptoms in COVID 19 patients (symptomatic and non-symptomatic) Serum ferritin level was high in symptomatic patients with low vitamin D level (p value 0.044) as shown in Table 4.
Table 4

Correlation between vitamin D and inflammatory markers

Vit D
Correlation coefficientp valueN
Age0.1140.34571
SO2 %0.0760.53071
Hb0.3670.00271
TLC−0.0710.55471
Lymph−0.2350.04871
Neutro−0.0790.51071
PLT−0.0460.70671
Ferritin0.2400.04471
CRP0.0200.027171
D-dimer0.1970.03971
CT (CORADS)0.0580.63371
Correlation between vitamin D and inflammatory markers Hemoglobin level and lymphocytes were low in symptomatic patients with low vitamin D level (p value 0.002 and 0.048), respectively, as shown in Table 4 (Fig. 21).
Fig. 21

Correlation between serum vitamin D and hemoglobin level in COVID 19 patients (symptomatic and non-symptomatic)

Correlation between serum vitamin D and hemoglobin level in COVID 19 patients (symptomatic and non-symptomatic) CRP and D-dimer levels were high in symptomatic patients who had low vitamin D level (p value 0.0271 and 0.039), respectively, as shown in Table 4 (Figs. 22, 23, 24, and 25).
Fig. 22

Correlation between serum vitamin D and lymphocytic count in COVID 19 patients (symptomatic and non-symptomatic)

Fig. 23

Correlation between serum vitamin D and serum ferritin level in COVID 19 patients (symptomatic and non-symptomatic)

Fig. 24

Correlation between vitamin D and CRP level

Fig. 25

Correlation between vitamin D and D-dimer level

Correlation between serum vitamin D and lymphocytic count in COVID 19 patients (symptomatic and non-symptomatic) Correlation between serum vitamin D and serum ferritin level in COVID 19 patients (symptomatic and non-symptomatic) Correlation between vitamin D and CRP level Correlation between vitamin D and D-dimer level

Statistical analysis

Data were analyzed using SPSS statistical software, version 20.0 (SPSS, Chicago, IL, USA). All continuous data are presented as means and standard deviations, while categorical data are presented as numbers and percentages. The Shapiro–Wilk test was used to analyze the distribution of continuous variables. Student’s t-test was used to analyze parametric variables, while the Mann–Whitney U test was used to analyze non-parametric variables. A chi-square test was used to compare categorical variables. Multivariate regression analysis was performed to analyze relationships between age, CRP level, D-dimer level, fibrinogen level, and vitamin D level. A primary regression model was generated using a stepwise procedure and included all potential interaction variables. This model was generated using independent variables achieving a p value of 0.10 during bivariate analysis. Then, the best-fit model was generated without interaction variables. For all calculations, a p value of less than 0.05 was considered statistically significant.

Discussion

The outbreak of coronavirus disease 2019 (COVID-19), which is caused by the highly contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was announced a pandemic in March 2020 by the World Health Organization. The disease mainly affects the respiratory system and spreads via aerosols released during sneezing and coughing [1, 2]. The main symptoms of COVID-19 are fever, cough, runny nose, nasal congestion, shortness of breath, headache, and myalgia [2, 3]. The disease can be diagnosed on the basis of clinical symptoms, polymerase chain reaction positivity, and the presence of ground-glass opacities on computed tomography (CT) scans [4]. Recent studies have focused on the role of serum inflammatory markers that predict COVID-19, such as lymphocyte counts and C-reactive protein (CRP), homocysteine, and D-dimer levels, and their correlation with serum vitamin D level [5, 6]. The aim of our study is that knowing if serum vitamin D level had a correlation with symptoms, severity, and inflammatory markers (CRP, D-dimer, and ferritin) in COVID-19 patients (symptomatic and asymptomatic). We found that serum vitamin D level was low in females than in males and was low in obese symptomatic patients. Serum vitamin D level deficiency affected the symptoms and severity of COVID-19 infection as non-symptomatic patients had normal vitamin D level and symptomatic patients had low vitamin D level. Serum vitamin D level had a positive correlation with hemoglobin level and lymphocytes. Serum vitamin D had a negative correlation with serum ferritin, CRP, and D-dimer and was not correlated with CORAD scoring in CT chest. We are in concur with Anshul Jain et al. (Sci Rep. [11]). The aim of their study is to analyze the vitamin D level in COVID-19 patients and its impact on the disease severity. The researchers found that serum level of inflammatory markers was found to be higher in vitamin D-deficient COVID-19 patients. They also found that symptoms of COVID-19 infection were more severe in patients with a low level of serum vitamin D. Our work is also in concur with Federica Saponaro et al. (Front Immunol. [12]). The aim of this study is to analyze the relationship between vitamin D status and a biochemical panel of inflammatory markers in a cohort of patients with COVID-19. The results showed that a significant inverse correlation was found between 25OHD and all inflammatory markers (serum ferritin, CRP, and D-dimer), even adjusted for age and sex. Our study is in concur with Mazen Almehmadi1 et al. [13]. Their results showed that vitamin D levels were inversely correlated with the markers used for monitoring the condition of COVID-19 patients: ferritin, CRP, and D-dimer, and serum vitamin D was low in symptomatic patients and normal in non-symptomatic patients. Our work is in contrast to Ola Alsegai et al. [14]. The researchers did not observe any significant differences in the serum 25(OH)D levels among our critically ill adults who died and who were alive at the time of their admission, and there were significant differences in serum vitamin D and inflammatory markers (CRP and serum ferritin). In conclusion, serum vitamin D was low in symptomatic patients and normal in non-symptomatic patients. Serum vitamin D was inversely correlated with inflammatory markers (ferritin, CRP, and D-dimer). Serum vitamin D level deficiency affected the symptoms and severity of COVID-19 infection. So vitamin D level deficiency affected symptoms, severity, and inflammatory markers. Vitamin D level may be used as a predictor for the severity of COVID-19 infection.
  11 in total

1.  D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study.

Authors:  Yumeng Yao; Jiatian Cao; Qingqing Wang; Qingfeng Shi; Kai Liu; Zhe Luo; Xiang Chen; Sisi Chen; Kaihuan Yu; Zheyong Huang; Bijie Hu
Journal:  J Intensive Care       Date:  2020-07-10

2.  Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients.

Authors:  Zongguo Yang; Jia Shi; Zhang He; Ying Lü; Qingnian Xu; Chen Ye; Shishi Chen; Bozong Tang; Keshan Yin; Yunfei Lu; Xiaorong Chen
Journal:  Aging (Albany NY)       Date:  2020-04-10       Impact factor: 5.682

Review 3.  COVID-19 in otolaryngologist practice: a review of current knowledge.

Authors:  Joanna Krajewska; Wojciech Krajewski; Krzysztof Zub; Tomasz Zatoński
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-04-18       Impact factor: 2.503

Review 4.  Evidence that Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths.

Authors:  William B Grant; Henry Lahore; Sharon L McDonnell; Carole A Baggerly; Christine B French; Jennifer L Aliano; Harjit P Bhattoa
Journal:  Nutrients       Date:  2020-04-02       Impact factor: 5.717

5.  Is There a Crucial Link Between Vitamin D Status and Inflammatory Response in Patients With COVID-19?

Authors:  Federica Saponaro; Maria Franzini; Chukwuma Okoye; Rachele Antognoli; Beatrice Campi; Marco Scalese; Tommaso Neri; Laura Carrozzi; Fabio Monzani; Riccardo Zucchi; Alessandro Celi; Aldo Paolicchi; Alessandro Saba
Journal:  Front Immunol       Date:  2022-01-24       Impact factor: 7.561

6.  Clinical features and treatment of COVID-19 patients in northeast Chongqing.

Authors:  Suxin Wan; Yi Xiang; Wei Fang; Yu Zheng; Boqun Li; Yanjun Hu; Chunhui Lang; Daoqiu Huang; Qiuyan Sun; Yan Xiong; Xia Huang; Jinglong Lv; Yaling Luo; Li Shen; Haoran Yang; Gu Huang; Ruishan Yang
Journal:  J Med Virol       Date:  2020-04-01       Impact factor: 2.327

7.  Ferritin levels and COVID-19.

Authors:  Manuel Vargas-Vargas; Christian Cortés-Rojo
Journal:  Rev Panam Salud Publica       Date:  2020-06-01

Review 8.  Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease.

Authors:  Mingzhi Li; Pinggui Lei; Bingliang Zeng; Zongliang Li; Peng Yu; Bing Fan; Chuanhong Wang; Zicong Li; Jian Zhou; Shaobo Hu; Hao Liu
Journal:  Acad Radiol       Date:  2020-03-20       Impact factor: 3.173

9.  Analysis of vitamin D level among asymptomatic and critically ill COVID-19 patients and its correlation with inflammatory markers.

Authors:  Anshul Jain; Rachna Chaurasia; Narendra Singh Sengar; Mayank Singh; Sachin Mahor; Sumit Narain
Journal:  Sci Rep       Date:  2020-11-19       Impact factor: 4.379

10.  C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.

Authors:  Chaochao Tan; Ying Huang; Fengxia Shi; Kui Tan; Qionghui Ma; Yong Chen; Xixin Jiang; Xiaosong Li
Journal:  J Med Virol       Date:  2020-04-25       Impact factor: 20.693

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