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Table of Contents
ORIGINAL ARTICLE
Year : 2021  |  Volume : 10  |  Issue : 1  |  Page : 17-22

Chest radiography findings and hematological values: Early findings on COVID-19 patients from Turkey


1 Kastamonu State Hospital, Pulmonology, Kastamonu, Turkey
2 Kastamonu State Hospital, Emergency Medicine, Kastamonu, Turkey
3 Harran University Faculty of Medicine, Internal Medicine Department, Şanlıurfa, Turkey
4 Kastamonu University Faculty of Medicine, Department of Microbiology, Kastamonu, Turkey

Date of Submission12-Aug-2020
Date of Decision01-Jan-2021
Date of Acceptance13-Jan-2021
Date of Web Publication25-Jan-2021

Correspondence Address:
Fatih Uzer
Kastamonu State Hospital, Pulmonology, Kastamonu
Turkey
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2221-6189.307390

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  Abstract 

Objective: To investigate the chest radiography findings, hematological values and the risk factors of the mortality of coronavirus disease 2019 (COVID-19).
Methods: Patients who were diagnosed with COVID-19 in a secondary-level state hospital in Turkey from March to April 2020 were included in the study. COVID-19 diagnosis was confirmed by reverse transcriptase-polymerase chain reaction. Initial routine blood tests and chest radiography findings were examined. The relationship between chest radiography findings and hematological values and risk factors of the mortality of COVID-19 were assessed.
Results: In total, 94 patients with confirmed COVID-19 diagnosis were included in the study. Among them, 33 patients did not have lung involvement (RALE score of 0), and 42 had moderate lung involvement (RALE score of 1 to 4), and 19 had severe lung involvement (RALE score of 5 to 8). Patients with higher RALE scores were significantly elder (P=0.000) and had significantly lower lymphocyte count (P=0.032). Patients in need of intensive care had a lower mean number of platelets compared to patients who did not require intensive care (P=0.007). The receiver operating characteristic analysis revealed that RALE score (P=0.005), age (P=0.002), duration of symptoms (P=0.006), neutrophil-lymphocyte ratio (P=0.007), and lymphocyte percentage (P=0.012) were significantly associated with the risk of mortality.
Conclusions: Patients with severe lung involvement have lower lymphocyte values and ratios. Age, RALE score, duration of symptoms, neutrophils/lymphocytes ratio, lymphocytes percentage are risk factors of mortality of COVID-19.

Keywords: COVID-19; Chest X-ray; Survey; Lymphocyte


How to cite this article:
Uzer F, Uzer B, Guven FM, Kirhan I, Coplu N. Chest radiography findings and hematological values: Early findings on COVID-19 patients from Turkey. J Acute Dis 2021;10:17-22

How to cite this URL:
Uzer F, Uzer B, Guven FM, Kirhan I, Coplu N. Chest radiography findings and hematological values: Early findings on COVID-19 patients from Turkey. J Acute Dis [serial online] 2021 [cited 2021 Mar 3];10:17-22. Available from: http://www.jadweb.org/text.asp?2021/10/1/17/307390


  1. Introduction Top


In late 2019, the coronavirus disease (COVID-19) outbreak occurred initially as an infection of an unknown cause. In March 2020, COVID-19 was declared as a global pandemic by the World Health Organisation (WHO)[1] and has been affecting millions of people around the world. The common symptoms of the disease include fever, myalgia, respiratory and gastrointestinal complaints. Although COVID-19 infections are frequently self-healing, it can lead to serious outcomes including metabolic acidosis, septic shock, coagulopathy, acute respiratory distress syndrome[1],[2],[3], and fatality, particularly in patients of advanced age or with comorbid diseases[4].

In many hospitals, first-line investigatory tests for patients admitted with suspected COVID-19 include radiographic imaging, such as chest radiography or computed thorax tomography, and blood routine tests, such as a complete blood count, coagulation tests, acute phase reactant tests, blood gases, and serum biochemical tests (liver function tests, kidney function tests, electrolytes, etc.). These first-line investigatory tests are accessible, low-cost, and easy to evaluate, and they may provide important information regarding prognosis. Blood routine tests and chest X-ray findings have been reported to be associated with prognosis[1],[3], while reduced count and percentage of lymphocyte may indicate a poor prognosis[3]. However, definitive evidence is lacking regarding which markers are most predictive of the severity, therapeutic response, or prognosis. In this study, we investigated the relationship between chest radiography findings and hematological values of COVID-19 patients, and risk factors of the mortality of COVID-19.


  2. Materials and methods Top


2.1. Ethical approval

This is an observational study. Ethical committee approval was obtained from Harran University Faculty of Medicine (Approval number: HRU/20.09.18).

2.2. Patients

Patients who were diagnosed as COVID-19 in a secondary-level state hospital in Turkey from March to April 2020 were included in the study. COVID-19 diagnosis was confirmed by the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in nasal, oral, or sputum specimens using real-time reverse transcriptase-polymerase chain reaction (rRT-PCR). Initial blood routine tests and chest radiography were performed. Patients' data were recorded in a data collection form. These data included socio- demographic data, clinical tests results, history of contact with a person with COVID-19, and whether or not the patient met the Turkish Ministry of Health (MOH) criteria of COVID-19. The MOH defined COVID-19 according to the following standards: (1) has fever and respiratory symptoms and either a history of being abroad or contacts with relatives who have a history of being abroad within 14 days prior to the onset of symptoms; (2) at least has one of the symptoms of fever or respiratory symptoms and close contacts with a verified COVID-19 case within 14 days prior to the onset of symptoms; (3) has fever and severe respiratory failure requiring hospitalization without other obvious cause; (4) has abrupt onset of fever accompanied by cough or shortness of breath without nasal discharge[5].

2.3. Imaging

Chest radiographs taken at the time of admission or after admission for the first time during the patient's stay were evaluated by a pulmonologist and two emergency medicine specialists. Interrater agreement between the evaluators was 95.7%. Radiographic features were observed following the Fleischner guidelines, such as infiltration, ground glass, effusion, and nodule[6]. Radiographic distributions include peripheral, central; upper, middle, lower lobe, and lingula; left, right, and bilateral. To define the extent of the infection, a simple version of the Radiographic Assessment of Lung Edema (RALE) score[7] was used. Following the RALE scoring criteria, ground glass and infiltration areas seen in each lung were assigned a score ranging from 0 to 4 points (0: none, 1: <25% of lung, 2: 25% to 50% of lung, 3: 50% to 75% of lung, 4: >75% of the lung) [Figure 1]. The scores for each lung were added up; thus patients could be assigned a minimum of 0 and a maximum of 8 points.
Figure 1: Chest X-ray scoring system. Examples of chest X-ray severity scores in patients with COVD-19 (right lung scores + left lung scores = total scores, one yellow arrow refers to 1 point): A: 0+1=1. B: 1+2=3. C: 2+3=5. D: 3+4=7.

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2.4. Laboratory confirmation of COVID-19

Oral and nasopharyngeal specimens were taken by a doctor at the time of admission and at multiple time points during the hospital stay. Specimens from patients who met the MOH definition of COVID-19 were examined in the microbiology laboratory of Kastamonu Training and Research Hospital and verified by the Public Health Headquarters. Verification of COVID-19 cases was conducted using nucleic acid amplification tests for SARS-CoV-2 and rRT-PCR. When necessary, specific sequences of viral RNA were identified and verified by nucleic acid sequence analysis. RNA extraction was performed in a BSL-2 or equivalent biosafety cabinet. Patients with a positive rRT-PCR test result were considered as confirmed COVID-19 cases. If a patient was suspected of having COVID-19 according to the clinical and radiological criteria but had a negative rRT-PCR result, then the test was repeated.

2.5. Statistical method

Data were analyzed using SPSS for Windows version 22.0 software (Statistical Package for Social Science, Chicago, II, USA). Means, standard errors (SD), frequency, and percentages were used to describe participants' characteristics. The normality of distribution was confirmed by the Shapiro-Wilk's W-test. Variables with a normal distribution were expressed as mean ± SD and compared using Student's t-test. Variables with a non-normal distribution were described as median and interquartile range (IQR), and analyzed by non-parametric tests. A Receiver Operating Characteristic (ROC) analysis was conducted to identify predictive factors of mortality risk. ROC curves were generated for different prognostic factors. Area Under the Curve (AUC) values were used to compare the ROC areas. The significance level of this study was set at α=0.05.


  3. Results Top


In total, 94 patients with confirmed COVID-19 diagnosis were included in the study, including 51 (54.3%) male patients and 43 (45.7%) female patients. The patients' age ranged from 3 to 88 years, with a mean age of (51.9±19.7) years [Table 1]. In total, 16 (17%) patients were asymptomatic. Among the patients with symptoms, the commonest complaints were cough, fever, and shortness of breath. The duration from exposure to onset of symptoms was 5 (1-20) d; the duration of hospitalization was 12 (1-35) d. Chest radiography findings included the following: ground-glass appearance (n=41, 43.6%), normal lung appearance (n=33, 35.1%), consolidation (n=17, 18.1%), atelectasis (n=2, 2.1%), and pleural effusion (n=2, 2.1%). Computed tomography revealed that the most prevalent pattern of respiratory involvement was bilateral lung involvement affecting the inferior lobes, and the least involved lung segment was the lingula. In total, 33 patients did not have lung involvement (RALE score of 0), 42 had moderate lung involvement (RALE score of 1 to 4), and 19 had severe lung involvement (RALE score of 5 to 8).
Table 1: Characteristics of the study patients.

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According to the MOH definition of COVID-19, 30 (31.9%) patients matched category A, 35 (37.2%) matched category B, 6 (6.4%) matched category C, and 23 (24.5%) matched category D. In total, 31 (33.0%) patients had a comorbid disease; the most frequent comorbid diseases identified were hypertension (14.9%), diabetes mellitus (11.7%), and chronic obstructive lung disease (7.4%). Patients with higher RALE scores were significantly elder (P=0.000) and had significantly lower lymphocyte count (P=0.032) and longer hospital stay (P=0.000) [Table 2]. In total, 10 patients required intensive care, among whom 6 patients had at least one comorbid disease and 2 cases resulted in death. Patients in need of intensive care had a longer mean duration of hospitalization (P=0.001) and a lower mean number of platelets (P=0.007) compared to patients who did not require intensive care. No other parameters were found to be significantly different between the patients who needed and did not need intensive care [Table 3]. We found that lymphocyte counts were slightly lower among patients with a hospital stay of more than 14 d compared to patients with a stay of 14 d or fewer, but this finding was not statistically significant (P=0.650) [Table 4].
Table 2: Comparison according to the RALE scores.

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Table 3: Comparison between patients with or without need of intensive care.

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Table 4: Comparison of patients according to the duration of hospitalization.

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The ROC analysis revealed that RALE score (P=0.005), age (P=0.002), duration of symptoms (P=0.006), neutrophil-lymphocyte ratio (P=0.007), and lymphocyte percentage (P=0.012) were significantly associated with risk of mortality [Table 5].
Table 5: The ROC analysis of mortality.

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  4. Discussion Top


In this study, we evaluated 94 hospitalized patients with a COVID- 19 diagnosis confirmed by rRT-PCR. We found that patients with higher RALE scores had lower lymphocyte count and percentage and patients who needed intensive care had significantly lower platelet values.

Among hospitalized patients, males comprised a higher proportion of confirmed COVID-19 cases than females. Our finding that 54% of patients with confirmed COVID-19 were male is consistent with the studies on COVID-19 from China, which reported that 54% to 73% of patients were male[2],[4],[8]. SARS-CoV, MERS-CoV, and other coronaviruses associated with large outbreaks and high mortality have also been reported to be more prevalent in males than in females[9],[10]. Gender differences in innate and adaptive immune responses, which may be linked to the X chromosome and female hormones[11], may play an important role in the apparent greater susceptibility of male to COVID-19 disease.

COVID-19 appears to be more infectious among adults compared with children[12]. Several studies have shown that children younger than 18 years comprised less than 1% of COVID-19 cases in Italy, 3% to 4% of cases in China, and 5% of cases in the USA[13],[14],[15]. Similarly, our study showed that only 3 (3.1%) were younger than 18 years, while most were 65 years or older. This pattern may be attributed to the decreased immunity in older individuals, as well as to waning immune memory to childhood Bacillus Calmette-Guérin (BCG) vaccination after the age of 30[16]. In countries such as Turkey, where children are routinely vaccinated with BCG, adult COVID-19 infection is milder than in countries without routine BCG vaccination. All in all, COVID-19 is also less common in children, which may be a result of improved cellular immunity following BCG vaccination[17],[18],[19].

The most common symptoms of COVID-19 reported in the literature are fever, cough, and shortness of breath, and only a small percentage of cases are reported to be asymptomatic[2],[4],[8],[12],[13]. Similarly, in our study, we found that the most common symptoms were fever, cough, and shortness of breath, and patients rarely had gastrointestinal symptoms or anosmia. As with symptoms, the mean incubation period observed (6.2 d) in our study was similar to that reported in other clinical studies of COVID-19 (2-14 d)[4],[8],[12]. However, in contrast to other reports[2],[4],[8],[12], we found a considerable proportion of asymptomatic cases. This difference may be due to differences between the Turkish Ministry of Health definition of COVID-19 and that used by other countries.

In December, 2020, according to official records, the mortality rate of COVID-19 in Turkey was 0.9%, while the rate of COVID-19 patients requiring intensive care was 4.3%[20]. In studies from China, mortality rates ranged from 0.9% to 4.3%, while the rate of patients requiring intensive care ranged from 5% to 32%[4],[8],[13],[21],[22]. In our study, the mortality rate was 2.1%, while the rate of patients needing intensive care was 9.4%. Wang et al. reported that COVID- 19 patients needing intensive care had lower lymphocyte counts, lower lymphocyte ratios, and increased values of urea, creatinine, and lactate dehydrogenase. The authors interpreted these biomarker patterns as evidence of disrupted cellular immunity[4]. Similarly, a study by Guan et al. reported that lymphocytopenia and leukopenia are common among severe COVID-19 cases[22]. Our study broadly agrees with these findings. We found that patients requiring intensive care had significantly lower platelet counts, but no other significant difference in biomarkers was noted. We also found that lymphocyte counts and ratios were lower in patients with more extensive lung involvement.

COVID-19 has been reported to have a greater effect on elderly people and those with comorbid diseases. Graselli et al. reported that, in Italy, among the patients diagnosed with COVID-19, 68% had at least one comorbid disease, and all patients over the age of 80 had at least one comorbid disease[23]. In studies from China, the proportion of patients with a comorbid disease ranged from 23.7% to 58.3%[4],[22],[24]. In all studies we found, the most frequently reported comorbid disease is hypertension. The profile of comorbid disease among COVID-19 patients in our study was similar to that reported in the studies from China[4],[22],[24]. In our study, 33% of the patients had at least one comorbid disease, and the most common comorbid condition was hypertension.

Our study had several limitations that should be considered when interpreting the results. We reported a low number of cases requiring intensive care and having a mortal course, which may have been due to our use of rRT-PCR for confirmation of COVID-19 diagnosis. Thus we excluded patients with negative COVID-19 rRT-PCR results, who may nevertheless have been infected since they had clinical and imaging results consistent with COVID-19.

In conclusion, this study reported on the very first cases of COVID- 19 in Turkey, finding that COVID-19 infection had the greatest impact on males and elderly individuals, and primarily presents with fever and cough. Patients with higher RALE scores had lower lymphocyte count and percentage. Compared to other patients, those requiring intensive care had significantly lower platelet counts; intensive care patients also had lower lymphocyte counts and ratios, but the difference is insignificant.

Conflict of interest statement

The authors report no conflict of interest.

Authors' contributions

F.U. and B.U.: study design, data collection, data analysis, and manuscript preparation, and final edition. F.M.K.G., I.K., N.C. had role in manuscript preparation and data analysis.

 
  References Top

1.
Wong HYF. Frequency and distribution of chest radiographic findings in COVID-19 positive patients. Radiology 2020; 296(2): E72-E78.  Back to cited text no. 1
    
2.
Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, 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.  Back to cited text no. 2
    
3.
Tan L, Wang Q, Zhang D, Ding J, Huang Q, Tang YQ, et al. Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study. Signal Transduct Target Ther 2020; 5(1): 33.  Back to cited text no. 3
    
4.
Wang DW, Hu B, Hu C, Zhu FF, Liu X, Zhang J, et al. Clinical haracteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020; 323(11): 1061-1069.  Back to cited text no. 4
    
5.
Republic of Turkey Ministry of Health Directorate General of Public Health. COVID-19 (SARS-CoV-2) Enfeksiyonu Bilim Kurulu Çalı ması. Ankara, Nisan, 2020. [Online] Available from: https://www.teb.org.tr/ versions_latest/1240/13nisansbrehberi. [Accessed on April 15th, 2020].  Back to cited text no. 5
    
6.
Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: Glossary of Terms for Thoracic Imaging. Radiology 2008; 246(3): 697-722.  Back to cited text no. 6
    
7.
Warren MA, Zhao Z, Koyama T, Bastarache JA, Shaver CM, Semler MW, et al. Severity scoring of lung edema on the chest radiograph is associated with clinical outcomes in ARDS. Thorax 2018; 73(9): 840-846.  Back to cited text no. 7
    
8.
Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223): 497-506.  Back to cited text no. 8
    
9.
Channappanavar R, Fett C, Mack M, Eyck PPT, Meyerholz DK, Perlman S. Sex-based differences in susceptibility to severe acute respiratory syndrome coronavirus infection. J Immunol 2017; 198(10): 4046-4053.  Back to cited text no. 9
    
10.
Badawi A, Ryoo SG. Prevalence of comorbidities in the Middle East respiratory syndrome coronavirus (MERS-CoV): a systematic review and meta-analysis. Int J Infect Dis 2016; 49: 129-133.  Back to cited text no. 10
    
11.
Jaillon S, Berthenet K, Garlanda C. Sexual dimorphism in innate immunity. Clin Rev Allergy Immunol 2019; 56(3): 308-321.  Back to cited text no. 11
    
12.
Adhikari SP, Meng S, Wu YJ, Mao YP, Ye RX, Wang QZ, et al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review. Infect Dis Poverty 2020; 9(1): 29.  Back to cited text no. 12
    
13.
Tian S, Hu N, Lou J, Chen K, Kang X, Xiang Z, et al. Characteristics of COVID-19 infection in Beijing. J Infect 2020; 80(4): 401-406.  Back to cited text no. 13
    
14.
Licciardi F, Giani T, Baldini L, Favalli EG, Caporali R, Cimaz R. COVID-19 and what pediatric rheumatologists should know: a review from a highly affected country. Pediatr Rheumatol 2020; 18(1): 35.  Back to cited text no. 14
    
15.
Ludvigsson JF. Systematic review of COVID-19 in children shows milder cases and a better prognosis than adults. Acta Paediatr 2020; 109(6): 1088-1095.  Back to cited text no. 15
    
16.
Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med 2020; 382(12): 1199-1207.  Back to cited text no. 16
    
17.
Kumar J, Meena J. Demystifying BCG vaccine and COVID-19 relationship. Indian Pediatr 2020; 57(6): 588-589.  Back to cited text no. 17
    
18.
Ozdemir C, Kucuksezer UC, Tamay ZU. Is BCG vaccination effecting the spread and severity of COVID-19? Allergy 2020; 75(7): 1824-1827.  Back to cited text no. 18
    
19.
Redelman-Sidi G. Could BCG be used to protect against COVID-19? Nat Rev Urol 2020; 17(6): 316-317.  Back to cited text no. 19
    
20.
Republic of Turkey Ministry of Health. [Online] Avaliable from: https:// covid19.saglik.gov.tr/TR-66935/genel-koronavirus-tablosu.html. [Accessed on January 7th 2021].  Back to cited text no. 20
    
21.
Lai CC, Shih TP, Ko WC, Tang HJ, Hsueh PR. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int J Antimicrob Agents 2020; 55(3): 105924.  Back to cited text no. 21
    
22.
Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382(18): 1708-1720.  Back to cited text no. 22
    
23.
Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to icus of the lombardy region, Italy. JAMA 2020; 323(16): 1574-1581.  Back to cited text no. 23
    
24.
Liu YX, Yang Y, Zhang C, Huang FM, Wang FX, Yuan J, et al. Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. Sci China Life Sci 2020; 63(3): 364-374.  Back to cited text no. 24
    


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  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5]



 

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