Literature DB >> 33194120

Hematological parameters predicting severity and mortality in COVID-19 patients of Pakistan: a retrospective comparative analysis.

Muhammad Sohaib Asghar1, Noman Ahmed Khan2, Syed Jawad Haider Kazmi3, Aftab Ahmed4, Maira Hassan5, Rumael Jawed6, Mohammed Akram5, Uzma Rasheed5, Gul Muhammad Memon5, Muhammad Umer Ahmed7, Umme Tahniyat5, Syeda Batool Tirmizi8.   

Abstract

BACKGROUND AND OBJECTIVES: COVID-19 is a global pandemic. In our study, we aimed to utilize the hematological parameters in predicting the prognosis and mortality in COVID-19 patients.
MATERIALS AND METHODS: A retrospective, observational study was conducted to include all the admitted patients (n = 191) having COVID-19 Polymerase chain reaction (PCR) positive, and evaluated those for prognosis and disease outcome by utilizing several biochemical and hematological markers.
RESULTS: Amongst the patients admitted in the ward versus in the intensive care unit (ICU), there were significant differences in mean hemoglobin (P = 0.003), total leukocyte count (P = 0.001), absolute neutrophil and lymphocyte counts (P < 0.001), absolute monocyte count (P = 0.019), Neutrophil-to-Lymphocyte ratio (NLR) and Lymphocyte-to-Monocyte ratio (LMR) (P < 0.001), Platelet-to-Lymphocyte ratio (PLR) and Lymphocyte-to C-reactive protein ratio (LCR) (P = 0.002), and C-reactive protein (CRP) levels (P < 0.001). Amongst the deceased patients, there was significant leukocytosis (P = 0.008), neutrophilia and lymphopenia (P < 0.001), increased NLR (P = 0.001), decreased LMR (P < 0.001), increased PLR (p = 0.017), decreased LCR (p = 0.003), and elevated CRP level (P < 0.001). A receiver operating characteristic curve obtained for the above parameters showed NLR (AUC: 0.841, PPV: 83.6%) and PLR (AUC: 0.703, PPV: 81.8%) for ICU patients, while NLR (AUC: 0.860, PPV: 91.1%) and PLR (AUC: 0.677, PPV: 87.5%) for the deceased patients had significant accuracy for predicting the disease severity of COVID-19 in comparison to survivors.
CONCLUSION: The inflammatory markers and hematological indices are a good guide for predicting the severity and disease outcome of coronavirus disease. NLR and PLR are elevated in severe disease while LMR and LCR are inversely correlating with disease severity.
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Greater Baltimore Medical Center.

Entities:  

Keywords:  COVID-19; biochemical markers; coronavirus; hematological parameters; indices; infectious disease; intensive care; mortality; pandemic; survivors

Year:  2020        PMID: 33194120      PMCID: PMC7599007          DOI: 10.1080/20009666.2020.1816276

Source DB:  PubMed          Journal:  J Community Hosp Intern Med Perspect        ISSN: 2000-9666


Introduction

COVID-19 is a global pandemic, also affecting Pakistan with 287,300 cases, and 6153 deaths as of 14 August 2020. Many hematological parameters are currently been utilized to predict outcomes and mortality in patients infected with SARS CoV-2. The neutrophil to lymphocyte ratio (NLR), is an inflammatory mediator used as predictor of systemic inflammation [1]. Numerous studies conducted around globe have reported about neutrophil to lymphocyte ratio (NLR) as a predictor of prognosis in a variety of cancers (breast, ovary, lung), cardiovascular disorders (coronary procedures and coronary artery bypass grafting), infectious disorders (community-acquired pneumonia, corona) and sepsis in general [1-5]. Neutrophil to lymphocyte ratio (NLR) is promptly accessible parameter calibrated entirely through a report of complete blood count (CBC); it is economical and simple as compared to the rest of mediators making it potential diagnostic criterion [2-4]. Neutrophil to lymphocyte ratio (NLR) is a prominent predictor of severity of disease, if high levels are detected it determines poor prognosis and high mortality within patients of intensive care units [3-5]. Elevating levels of neutrophil to lymphocyte ratio (NLR) projects towards the prediction of mortality among sufferers of acute coronary syndrome, intracerebral hemorrhage, polymyositis, dermatomyositis, and cancers [6,7]. Inflammatory states of the body triggers excessive yield of neutrophils and simultaneously bringing about apoptosis of lymphocytes thus proceeding towards immunological aberration in body and potentiating severity of disorder and chances of death [6]. Elevated levels of neutrophil to lymphocyte ratio (NLR) have genetic predilection directed towards males as compared to females in terms of severity of disease [8]. Age of sufferer also plays a vital role in outcomes of neutrophil to lymphocyte ratio (NLR) as this ratio is elevated among the elder population (50- >70 years) as compared to sufferers of younger age group [4]. Racial differences are also reported to be encountered in outcomes of neutrophil to lymphocyte ratio as the values are elevated highly among western populations in comparison with the African and Asian populations [9]. The platelet to lymphocyte ratio (PLR) is also an effective inflammatory mediator utilized in predicting the prognosis of many disorders and mortality among patients [4,10,11]. Platelet to lymphocyte ratio (PLR) is an indicator of prognosis in cardiovascular diseases, rheumatic disorders, infectious diseases, and organ injuring disorders such as systemic erythematous lupus (SLE) and malignancies [10,12] Platelets have dual properties involving both hemostasis and immunity [13,14]. This ratio is easily accessible and is calibrated by a complete blood count (CBC) test [15]. The platelet to lymphocyte ratio is also dependent upon age and gender, with women detected with elevated PLR at the age of 30–59 and decreased levels at the age of 50 as compared to males [15]. Elevated levels of platelet to lymphocyte ratio (PLR) are associated with increased severity and high mortality [15]. The monocyte to lymphocyte ratio (LMR), is also an immune mediator in line with NLR and PLR [16]. The high count of monocytes and low count of lymphocytes are suggestive of increased incidence of mortality and decline of prognosis among patients with severe disease [17]. The monocyte to lymphocyte ratio is an indicator of the prognosis of cardiovascular diseases, a variety of malignancies, autoimmune diseases, and chronic infections like tuberculosis [18]. The lymphocyte to the C-reactive protein ratio (LCR) is another marker linked with severity of the disease [7]. LCR is utilized as a systemic inflammatory mediator predicting the mortality and prognosis in patients with malignancies like colorectal and gastric carcinoma [19]. Sufferers of malignancies with low pre-operative LCR reported to have declined in prognosis as compared to patients with high pre-operative LCR [19]. In our study, we aimed to utilize all these hematological and biochemical parameters in predicting the prognosis and mortality in patients of COVID-19. The study focused on all the hospital admissions, severity of disease with length of hospital stay, and the correlation amongst them.

Materials and methods

The study was conducted as a single centered, retrospective, observational study, started from 27 February till 30 June 2020, and including all patients who were diagnosed as COVID-19 positive via Polymerase Chain Reaction (PCR). The outcomes of the disease were followed along with the hospital course at the time of analysis. Out of the total 191 patients admitted, 106 were recovered and discharged with negative PCR for COVID-19, 41 patients who remain asymptomatic were discharged for home isolation without PCR being negative. A total of 44 deaths occurred due to COVID-19, out of whom 19 patients were admitted to ICU for critical care management and ventilators. The following hematological parameters were used to determine the severity of the disease and predicting the outcomes:

Neutrophil to lymphocyte ratio (NLR)

It was first created and used by Sato, et al. in the chemotherapeutic response of esophageal carcinoma in 2012 [20]. We calculated NLR by dividing the relative percentage of neutrophils by lymphocytes. Normally, it should be below 3, but a ratio of above 3 signifies acute stress, and a ratio of more than 9 signifies sepsis. But variability occurs in populations regarding the cut-off value of NLR with some studies suggesting a cut-off value of 4 [1].

Lymphocyte to monocyte ratio (LMR)

It was calculated by dividing absolute lymphocyte count (x103 cells/uL) with absolute monocyte count (x103 cells/uL) [17]. The normal range is 3–9 with variability amongst populations [4].

Platelet to lymphocyte ratio (PLR)

It was calculated by dividing absolute platelet counts (x103 cells/uL) with absolute lymphocyte count (x103 cells/uL), which usually lies in between 50 and 150 but subjected to variability amongst populations [4].

Lymphocyte to C-reactive protein ratio (LCR)

This marker was calculated by dividing the absolute lymphocyte count (number/uL) with CRP levels (mg/dl) [19]. The usual values of CRP were calculated in our laboratory as g/dL; hence, it was converted into mg/dl and lymphocytes (x103 cells/uL) were also converted into absolute counts (number/uL) before calculating this ratio.

Statistical analysis

The statistical analysis was conducted by the Statistical Package for the Social Sciences (SPSS version 25.0). All continuous variables were described as both mean & standard deviation as well as median & interquartile range. The means were then compared using both independent sample t-test and Mann–Whitney U-test, and amongst them, the p-value was considered more significant according to Levene statistics. The comparison of categorical data was done either using the Chi-square test or Fisher’s exact test according to the limitation of data. In a paired sample t-test, each subject or entity was measured twice, resulting in pairs of observations (such as the progress of labs before and after treatment). A p-value of <0.05 was considered statistically significant. All the highly significant values were rounded off as <0.001.

Results

The mean age of the study population was 52.65 ± 16.13 with females slightly younger than males (P = 0.232). The most common age group has been 50–75 years with two-thirds of them being males (P = 0.469). The majority of the patients were having mild to moderate symptoms hence admitted in isolation ward (68.07%), while rest 31.93% having a severe disease were admitted in the Intensive care unit (ICU). The length of the hospital was significantly more in ICU patients (P = 0.001) as shown in Table 1. The descriptive statistics of admitting laboratory investigations are given in Table 2.
Table 1.

Showing Demographic data of the study population

S.noTable 1: Demographic data of the study population (n = 191).p-Value
1Mean age in years52.65 ± 16.13-
Median (IQR)55.00 (39.00–65.00)
Males (n = 128)Mean: 54.04 ± 15.68Median: 55.50 IQR: (43.50–67.00)0.232*0.300**
Females (n = 63)Mean: 49.68 ± 16.93Median: 54.00 IQR: (38.00–64.50)
2Age groups(M: males, F: females)0–5051–75>750.469^
80 (41.88%)103 (53.92%)08 (4.18%)
M: 54, F: 26M: 67, F: 36M: 7, F: 1
3Confirmation of diagnosisNasopharyngeal swab (PCR): 86 (45.02%)-
Oropharyngeal swab (PCR): 105 (54.97%)
4Travel historyPositive: 24 (12.56%) Negative: 79 (87.43%)-
5OccupationMedical: 19 (9.94%) Non-medical: 82 (90.05%)-
6Hospital stayIsolation ward: 130 (68.07%)Males: 84 (64.6%), Females: 46 (35.4%)Intensive care unit: 61 (31.93%)Males: 44 (72.1%), Females: 17 (27.9%)0.676”
7Length of Hospital stayMeanMedianIQRRange-
All patients9.18 ± 5.807.006.0–11.02–31
Ward7.29 ± 3.907.004.0–9.02–220.001*0.001**
ICU12.35 ± 7.0411.507.0–17.02–31
Recovered8.98 ± 6.207.005.25–10.752–310.604*0.235**
Deceased9.78 ± 4.519.006.0–13.02–18
8Recovered patients: 55.49% (n = 106)Mean no. of PCR performed: 3.72 ± 1.12-
Home isolation after only 1 PCR41 (21.46%)
No. of deceased patient44 (23.03%)

* indicates p-Value calculated by independent sample t-test.

“ indicates p-Value calculated by chi-square test.

^ indicates p-Value calculated by fisher’s exact test.

** indicates p-Value calculated by Mann-Whitney U test.

Table 2.

Showing descriptive laboratory investigations at admission amongst the patients of COVID-19

Table 2: Descriptive laboratory investigations at admission amongst the patients of COVID-19 (n = 191).
#Laboratory investigationsMean ± SD95% confidence interval (CI)MedianInterquartile range (IQR)
1Hemoglobin12.73 ± 2.3112.24–13.2212.9011.20–14.30
2MCV81.77 ± 8.4979.95–83.5983.0077.00–87.00
3Platelets249.21 ± 107.89226.22–272.21226.00185.00–300.00
4TLC10.26 ± 7.098.75–11.788.105.60–11.60
3Neutrophils (%)70.58 ± 15.2267.34–73.8372.0061.00–83.00
Lymphocytes (%)20.75 ± 12.9517.99–23.5120.009.00–30.00
Monocytes (%)6.83 ± 3.086.18–7.496.005.00–9.00
Eosinophils (%)1.50 ± 2.031.07–1.941.000.00–2.00
Basophils (%)0.10 ± 0.340.03–0.170.000.00–0.00
5NLR6.66 ± 7.505.05–8.263.702.00–9.33
WardICU (cut off: 5.48)RecoveredDeath (cut off: 5.67)AUC: 0.1590.8410.1400.860CI: 0.076–0.2420.758–0.9240.065–0.2160.784–0.935S.E: 0.042P < 0.001S.E: 0.039P < 0.001PPV: 83.6%NPV: 68.8%PPV: 91.1%NPV: 54.8%
6LMR3.15 ± 1.662.79–3.503.001.90–4.25
WardICU (cut off: 2.85)RecoveredDeath (cut off: 2.05)AUC: 0.7730.2270.8130.187CI: 0.672–0.8750.125–0.3280.716–0.9100.090–0.284S.E: 0.052P < 0.001S.E: 0.050P < 0.001PPV: 39.0%NPV: 13.0%PPV: 42.9%NPV: 10.2%
7PLR190.01 ± 123.74163.64–216.39147.55105.82–231.87
WardICU (cutoff: 193.40)RecoveredDeath (cutoff: 201.16)AUC: 0.2970.7030.3230.677CI: 0.170–0.4230.577–0.8300.175–0.4720.528–0.825S.E: 0.065P = 0.002 S.E: 0.076P = 0.013PPV: 81.8%NPV: 65.6%PPV: 87.5%NPV: 48.4%
8LCR2152.22 ± 4833.101090.27–3214.17192.1054.32–961.01
WardICU (cut off: 177.07)RecoveredDeath (cut off: 84.55)AUC: 0.7940.2060.8390.161CI: 0.693–0.8940.106–0.3070.741–0.9370.063–0.259S.E: 0.051P < 0.001S.E: 0.050P < 0.001PPV: 34.2%NPV: 13.6%PPV: 35.7%NPV: 7.4%
9CRP (n = 83)112.39 ± 106.1989.20–135.5786.4016.00–176.00
10LDH (n = 53)578.83 ± 385.67472.52–685.13439.00277.50–800.50
11Ferritin (n = 57)689.54 ± 753.07489.72–889.35316.46125.27–953.26
12Procalcitonin (n = 29)4.56 ± 14.84−1.08–10.200.300.05–1.21
13Troponin I (n = 17)128.26 ± 161.8045.07–211.4527.708.40–234.30
14Pro-BNP (n = 13)23,630.23 ± 59,035.61−12,044.63–59,305.054224.10402.15–15,509.10
15ESR (n = 8)78.25 ± 42.7142.54–113.9590.0030.00–119.50
16D-Dimer (n = 14)2.61 ± 2.621.09–4.121.530.57–3.92

NLR: neutrophil to lymphocyte ratio, LMR: lymphocyte to monocyte ratio, PLR: platelet to lymphocyte ratio,

LCR: lymphocyte to C-reactive protein ratio, CRP: C-reactive protein, MCV: mean cell volume, TLC: total leukocyte count, LDH: lactate dehydrogenase, BNP: brain natriuretic peptide, ESR: erythrocyte sedimentation rate.

AUC: area under curve, CI: 95% confidence interval, S.E: standard error of mean, P: probability, PPV: positive predictive value, NPV: negative predictive value.

Showing Demographic data of the study population * indicates p-Value calculated by independent sample t-test. “ indicates p-Value calculated by chi-square test. ^ indicates p-Value calculated by fisher’s exact test. ** indicates p-Value calculated by Mann-Whitney U test. Showing descriptive laboratory investigations at admission amongst the patients of COVID-19 NLR: neutrophil to lymphocyte ratio, LMR: lymphocyte to monocyte ratio, PLR: platelet to lymphocyte ratio, LCR: lymphocyte to C-reactive protein ratio, CRP: C-reactive protein, MCV: mean cell volume, TLC: total leukocyte count, LDH: lactate dehydrogenase, BNP: brain natriuretic peptide, ESR: erythrocyte sedimentation rate. AUC: area under curve, CI: 95% confidence interval, S.E: standard error of mean, P: probability, PPV: positive predictive value, NPV: negative predictive value. Amongst the patients admitted in the ward vs in ICU, there were significant differences in mean hemoglobin (P = 0.003), total leukocyte count (P = 0.001), absolute neutrophil and lymphocyte counts (P < 0.001), absolute monocyte count (P = 0.019), NLR and LMR (P < 0.001), PLR and LCR (P = 0.002), as shown in Table 3. Amongst the deceased patients, there was significant leukocytosis (P < 0.008), neutrophilia and lymphopenia (P < 0.001), increased NLR (P = 0.001), decreased LMR (P < 0.001), increased PLR (P = 0.017), and decreased LCR (P = 0.003), as shown in Table 4.
Table 3.

Showing a comparison of initial laboratory investigations amongst the patients of COVID-19

Table 3: Comparison of initial laboratory investigations amongst the patients of COVID-19.
#Laboratory investigationWard (n = 130)
ICU (n = 61)
p-Value(Ward n = 130)
(ICU n = 61)
p-Value
Mean ± Standard deviationMedian (Inter-quartile range)
1Hemoglobin (g/dl)13.26 ± 2.3111.78 ± 2.000.003*13.35 (11.72–14.90)11.90 (10.60–13.30)0.004^
2MCV (fL)83.56 ± 7.3878.43 ± 9.500.013*84.00 (80.00–88.67)80.50 (73.50–85.50)0.016^
3Platelets (109/L)236.64 ± 77.84271.93 ± 146.400.145*224.00 (185.25–275.00)244.00 (182.00–334.00)0.410^
4TLC (109/L)8.06 ± 4.2214.24 ± 9.280.001*6.85 (5.30–9.17)11.10 (7.80–17.90)<0.001^
Neutrophils (%)64.91 ± 14.8680.83 ± 9.52<0.001*66.00 (56.25–74.75)83.00 (75.00–88.00)<0.001^
Lymphocytes (%)25.96 ± 12.5411.35 ± 7.11<0.001*26.00 (18.25–33.75)9.00 (6.00–17.00)<0.001^
Monocytes (%)7.41 ± 2.925.80 ± 3.150.019*6.00 (6.00–10.00)5.00 (3.00–7.00)0.009^
Eosinophils (%)1.48 ± 1.951.54 ± 2.210.886*1.00 (0.00–2.00)1.00 (0.00–3.00)0.674^
Basophils (%)0.12 ± 0.330.06 ± 0.350.433*0.00 (0.00–0.00)0.00 (0.00–0.00)0.173^
5Neutrophil to lymphocyte ratio4.01 ± 4.2411.43 ± 9.60<0.001*2.45 (1.54–4.21)9.77 (4.52–14.50)<0.001^
Lymphocyte to monocyte ratio3.67 ± 1.652.20 ± 1.20<0.001*3.45 (2.49–4.72)2.00 (1.20–2.80)<0.001^
Platelet to lymphocyte ratio152.60 ± 74.16257.60 ± 162.710.002*134.22 (105.41–184.58)224.76 (140.64–349.61)0.002^
Lymphocyte to CRP ratio3212.26 ± 5808.90408.29 ± 1333.010.002*391.95 (140.00–4494.23)68.43 (40.32–158.89)<0.001^
6CRP (mg/L)75.84 ± 89.30173.70 ± 105.21<0.001*35.40 (7.10–115.60)152.30 (105.10–276.30)<0.001^
7LDH (U/L)454.25 ± 339.89821.05 ± 360.350.001*353.00 (261.00–567.00)806.00 (563.26–975.75)<0.001^
8Ferritin (ng/mL)492.44 ± 631.511083.73 ± 835.790.011*204.73 (116.61–592.48)907.50 (360.11–2000.00)0.012^
9Procalcitonin (ng/mL)0.23 ± 0.435.46 ± 16.220.484*0.06 (0.02–0.06)0.39 (0.06–2.07)0.112^

* indicates P-value calculated by independent sample t-test. ^ indicates P-value calculated by Mann-Whitney U test.

Table 4.

Showing a comparison of initial laboratory investigations with the prognosis of COVID-19 patients

Table 4: Comparison of initial laboratory investigations with prognosis of COVID-19 patients.
#Laboratory investigationRecovered+Home isolation (n = 147)
Deceased (n = 44)
p-ValueRecovered+Home isolation (n = 147)
Deceased (n = 44)
p-Value
Mean ± Standard deviationMedian (Inter-quartile range)
1Hemoglobin (g/dl)12.82 ± 2.3912.46 ± 2.090.532*13.10 (11.20–14.55)12.55 (11.30–13.42)0.334^
2MCV (fL)82.54 ± 8.2779.54 ± 8.910.154*83.50 (78.00–87.00)80.50 (75.00–85.50)0.159^
3Platelets (x109/L)249.58 ± 103.56248.13 ± 122.420.957*226.00 (185.50–299.00)238.00 (180.00–313.75)0.992^
4TLC (x109/L)8.71 ± 5.2714.86 ± 9.560.008*7.30 (5.30–10.20)11.35 (7.35–20.42)0.001^
Neutrophils (%)66.33 ± 15.0183.13 ± 6.47<0.001*67.00 (57.50–77.50)83.00 (77.00–88.00)<0.001^
Lymphocytes (%)24.47 ± 12.649.77 ± 5.52<0.001*23.00 (15.00–33.00)8.00 (5.75–14.50)<0.001^
Monocytes (%)7.16 ± 2.975.86 ± 3.280.086*6.00 (5.00–10.00)5.50 (3.75–7.00)0.042^
Eosinophils (%)1.76 ± 2.220.72 ± 1.070.005*1.00 (0.00–2.50)0.00 (0.00–1.00)0.011^
Basophils (%)0.13 ± 0.390.00 ± 0.000.101*0.00 (0.00–0.00)0.00 (0.00–0.00)0.086^
5Neutrophil-to-lymphocyte ratio4.56 ± 4.8412.86 ± 10.270.001*3.00 (1.70–5.13)10.56 (5.50–15.59)<0.001^
Lymphocyte-to-monocyte ratio3.57 ± 1.631.88 ± 0.98<0.001*3.33 (2.47–4.63)2.00 (1.20–2.87)<0.001^
Platelet-to-lymphocyte ratio165.34 ± 91.81263.14 ± 171.800.017*139.96 (105.41–203.61)220.33 (130.48–353.26)0.013^
Lymphocyte-to-CRP ratio2796.12 ± 5445.81396.13 ± 1536.710.003*347.98 (106.06–4626.42)52.51 (30.32–82.41)<0.001^
6CRP (mg/L)82.07 ± 92.20196.45 ± 98.37<0.001*36.00 (8.70–124.30)174.85 (132.07–311.97)<0.001^
7LDH (U/L)480.24 ± 339.46915.67 ± 352.280.001*393.00 (262.00–579.50)847.00 (703.00–1029.25)<0.001^
8Ferritin (ng/mL)575.79 ± 712.221074.52 ± 787.940.055*224.99 (114.41–781.50)726.30 (416.93–2000.00)0.015^
9Procalcitonin (ng/mL)6.53 ± 21.452.96 ± 6.050.529*0.06 (0.02–0.81)0.47 (0.11–2.07)0.041^

* indicates p-Value calculated by independent sample t-test. ^ indicates p-Value calculated by Mann-Whitney U test.

** indicates p-Value calculated by Fisher’s Exact test. “ indicates p-Value calculated by Chi-square test.

Showing a comparison of initial laboratory investigations amongst the patients of COVID-19 * indicates P-value calculated by independent sample t-test. ^ indicates P-value calculated by Mann-Whitney U test. Showing a comparison of initial laboratory investigations with the prognosis of COVID-19 patients * indicates p-Value calculated by independent sample t-test. ^ indicates p-Value calculated by Mann-Whitney U test. ** indicates p-Value calculated by Fisher’s Exact test. “ indicates p-Value calculated by Chi-square test. A receiver operating characteristic (ROC) curve obtained for the above parameters showed NLR (AUC: 0.841, PPV: 83.6%) and PLR (AUC: 0.703, PPV: 81.8%) for ICU patients, while NLR (AUC: 0.860, PPV: 91.1%) and PLR (AUC: 0.677, PPV: 87.5%) for the deceased patients had significant accuracy in predicting the disease severity of COVID-19 as shown in Table 2 as well as Figures 1 and 2. LMR and LCR were found inversely related to the severity of the disease.
Figure 1.

Showing the ROC curve for predicting the severity of Covid-19 in ICU patients

Figure 2.

Showing the ROC curve for predicting the severity of COVID-19 in deceased patients

Showing the ROC curve for predicting the severity of Covid-19 in ICU patients Showing the ROC curve for predicting the severity of COVID-19 in deceased patients

Discussion

In this study majority of individuals included in our study population reported ages above 50 years with a study population of 54 individuals comprising a majority of males. In our study, we detected elevated counts of neutrophils (neutrophilia) but in contrast, low lymphocyte counts (lymphopenia) thus resulting in an elevated ratio of neutrophil-to-lymphocyte ratio in critically ill suffering for coronavirus disease 19 (COVID-19) coinciding with outcomes of several studies [6-8,11,21-25]. In our study, we also detected significantly high counts of neutrophils and lowest counts of lymphocytes along with prominent elevation of neutrophil-to-lymphocyte ratios among patients with refractory disease admitted to intensive care units and deceased patients when compared with patients in isolation wards and at initial phases of disease synchronizing with detections of numerous studies [6-8,21-25]. Total leukocyte count (TLC) was significantly elevated in patients who are critically infected or deceased in comparison with patients in isolation wards or recovered correlating with findings of countable studies [6-8,21-25]. Prominently elevated levels of neutrophil-to-lymphocyte ratio in deceased patients were detected in our study rendering NLR as a predictor of mortality thus independent parameter for prognosis among sufferers of coronavirus disease (COVID-19) this outcome detected in our study coincides with results and findings of several studies [6-8,21-25]. In our study median of patients residing within isolation wards and median of patients under critical condition is in similar accord in comparison with a study conducted in similar patterns thus coinciding with our findings [6,7,11,21-25]. In our study, elevated count of platelets (thrombocytosis) was detected in patients of coronavirus disease (COVID-19) at time of initial phase of infection (admission) and critical phase of infection (intensive care unit) and death as compared with patients in isolation wards or recovered synchronizing with outcomes of countable studies [11]. In contrast, a decline in counts of lymphocytes (lymphocytopenia) was detected in patients of critical phase thus resulting in predominant high levels of platelet-to-lymphocyte ratio among sufferers under treatment in intensive care units or deceased as compared with sufferers in their initial phase of infection (admission) or residing in isolation wards thus proving platelet-to-lymphocyte ratio as one of independent mediator predicting prognosis and mortality in critically ill sufferers correlating with the outcome of another study [11]. The means of platelet-to-lymphocyte ratio detected among patients under treatment in the isolation ward and intensive care units coincide with the means of the study mentioned above [11]. In our study, elevated counts of monocytes and decreased counts of lymphocyte (lymphocytopenia) were detected among patients under treatment in intensive care units or deceased as compared with patients admitted at recent intervals or in isolation wards coinciding with findings of negligible study [26]. Increased monocytes and decreased lymphocytes result in decreased lymphocyte-to-monocyte ratio among patients of ICU or deceased thus rendering declined ratio of lymphocyte-to-monocyte as an indicator of poor prognosis and increased chances of mortality among patients suffering from coronavirus disease correlating with few studies [26]. The mean value of the lymphocyte-to-monocyte ratio coincides with the mean of another study calculating LMR in coronavirus disease patients [26]. Elevated levels of C-reactive protein and decrease in lymphocyte count (lymphocytopenia) were observed within outcomes of study resulting in declined lymphocyte-to-C reactive protein ratio (LCR) within patients critically ill or deceased as compared to outcomes of patients in isolation wards or recovered coinciding with results of a countable study [7]. A decrease in the lymphocyte-to-C reactive protein ratio is suggestive of poor prognosis and potential mortality among sufferers of coronavirus disease (COVID-19) [7].

Conclusions

The inflammatory markers and hematological parameters are a good guide for predicting the severity and disease outcome, but the in-hospital management causing changes to these parameters are not predictory to overall mortality or therapeutic benefits, hence these parameters are limited for initial survey only till further extensive studies take place on follow-up laboratory investigations. The hematological markers known to be elevated in the current pandemic were NLR and PLR, but LMR and LCR were considered to be of a lesser concern, however, they are directly correlating with disease severity in our study. NLR and PLR are more likely to be elevated in severe disease as well as LMR and LCR are inversely correlating with disease severity and mortalities.
  12 in total

1.  The lymphocyte-monocyte ratio in clinical practice.

Authors:  Sevket Balta; Zafer Demırer; Mustafa Aparci; Ali Osman Yildirim; Cengiz Ozturk
Journal:  J Clin Pathol       Date:  2015-08-25       Impact factor: 3.411

2.  Lymphocyte-to-C-reactive protein ratio and score are clinically feasible nutrition-inflammation markers of outcome in patients with gastric cancer.

Authors:  Yoshinaga Okugawa; Yuji Toiyama; Akira Yamamoto; Tsunehiko Shigemori; Takashi Ichikawa; Chengzeng Yin; Akihiro Suzuki; Hiroyuki Fujikawa; Hiromi Yasuda; Junichiro Hiro; Shigeyuki Yoshiyama; Masaki Ohi; Toshimitsu Araki; Donald C McMillan; Masato Kusunoki
Journal:  Clin Nutr       Date:  2019-05-21       Impact factor: 7.324

Review 3.  The potential role of platelets in the consensus molecular subtypes of colorectal cancer.

Authors:  Michael Lam; Jason Roszik; Preeti Kanikarla-Marie; Jennifer S Davis; Jeffrey Morris; Scott Kopetz; David G Menter
Journal:  Cancer Metastasis Rev       Date:  2017-06       Impact factor: 9.264

4.  Correlation between the pretherapeutic neutrophil to lymphocyte ratio and the pathologic response to neoadjuvant chemotherapy in patients with advanced esophageal cancer.

Authors:  Hiroshi Sato; Yasuhiro Tsubosa; Tatsuyuki Kawano
Journal:  World J Surg       Date:  2012-03       Impact factor: 3.352

5.  The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.

Authors:  Ai-Ping Yang; Jian-Ping Liu; Wen-Qiang Tao; Hui-Ming Li
Journal:  Int Immunopharmacol       Date:  2020-04-13       Impact factor: 4.932

6.  Association of lymphocyte to monocyte ratio with severity of coronary artery disease.

Authors:  Shu Gong; Ximei Gao; Fubiao Xu; Zhi Shang; Shuai Li; Wenqiang Chen; Jianmin Yang; Jifu Li
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

Review 7.  The Platelet-to-Lymphocyte Ratio as an Inflammatory Marker in Rheumatic Diseases.

Authors:  Armen Yuri Gasparyan; Lilit Ayvazyan; Ulzhan Mukanova; Marlen Yessirkepov; George D Kitas
Journal:  Ann Lab Med       Date:  2019-07       Impact factor: 3.464

8.  Frequency of everyday pro-environmental behaviour is explained by baseline activation in lateral prefrontal cortex.

Authors:  Thomas Baumgartner; Benedikt P Langenbach; Lorena R R Gianotti; René M Müri; Daria Knoch
Journal:  Sci Rep       Date:  2019-01-09       Impact factor: 4.379

9.  Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio in Chinese Han population from Chaoshan region in South China.

Authors:  Lishan Wu; Shan Zou; Cantian Wang; Xuerui Tan; Min Yu
Journal:  BMC Cardiovasc Disord       Date:  2019-05-27       Impact factor: 2.298

10.  Laboratory Parameters in Detection of COVID-19 Patients with Positive RT-PCR; a Diagnostic Accuracy Study.

Authors:  Rajab Mardani; Abbas Ahmadi Vasmehjani; Fatemeh Zali; Alireza Gholami; Seyed Dawood Mousavi Nasab; Hooman Kaghazian; Mehdi Kaviani; Nayebali Ahmadi
Journal:  Arch Acad Emerg Med       Date:  2020-04-04
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  11 in total

1.  Neutrophil to lymphocyte ratio (NLR) in COVID-19: A cheap prognostic marker in a resource constraint setting.

Authors:  Kaleem Ullah Toori; Muhammad Arsalan Qureshi; Asma Chaudhry; Muhammad Farhan Safdar
Journal:  Pak J Med Sci       Date:  2021 Sep-Oct       Impact factor: 1.088

2.  Evaluation of hematological parameters and inflammatory markers in children with COVID-19.

Authors:  Gulsum Alkan; Ahmet Sert; Melike Emiroglu; Sadiye Kubra Tuter Oz; Husamettin Vatansev
Journal:  Ir J Med Sci       Date:  2021-09-16       Impact factor: 2.089

3.  Lymphopenia: A useful predictor of COVID-19 disease severity and mortality.

Authors:  Kaleem Ullah Toori; Muhammad Arsalan Qureshi; Asma Chaudhry
Journal:  Pak J Med Sci       Date:  2021 Nov-Dec       Impact factor: 1.088

4.  Identification of hematological and inflammatory parameters associated with disease severity in hospitalized patients of COVID-19.

Authors:  Ahuja Sana; Malviya Avneesh
Journal:  J Family Med Prim Care       Date:  2022-01-31

5.  The Impact of Neutrophil-Lymphocyte Count Ratio in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Soumya Sarkar; Puneet Khanna; Akhil Kant Singh
Journal:  J Intensive Care Med       Date:  2021-10-21       Impact factor: 2.889

6.  Evaluation of individual and combined NLR, LMR and CLR ratio for prognosis disease severity and outcomes in patients with COVID-19.

Authors:  Awatef Ben Jemaa; Noura Salhi; Meriam Ben Othmen; Hana Ben Ali; Jihene Guissouma; Hatem Ghadhoune; Ridha Oueslati; Hamdi Dhaouadi
Journal:  Int Immunopharmacol       Date:  2022-04-19       Impact factor: 5.714

7.  Haematological Traits in Symptomatic and Asymptomatic COVID-19 Positive Patients for Predicting Severity and Hospitalization.

Authors:  Abdullah M Alkahtani; Yasser Alraey; Gaffar Sarwar Zaman; Hajri Al-Shehri; Ibrahim Saeed Alghamdi; Harish C Chandramoorthy; Ahmed M Al-Hakami; Ahmad M Alamri; Hassan Ali Alshehri
Journal:  J Blood Med       Date:  2022-08-27

Review 8.  Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis.

Authors:  Rundong Qin; Li He; Zhaowei Yang; Nan Jia; Ruchong Chen; Jiaxing Xie; Wanyi Fu; Hao Chen; Xinliu Lin; Renbin Huang; Tian Luo; Yukai Liu; Siyang Yao; Mei Jiang; Jing Li
Journal:  Clin Rev Allergy Immunol       Date:  2022-01-18       Impact factor: 10.817

9.  Can Hematological Ratios Predict Outcome of COVID-19 Patients? A Multicentric Study.

Authors:  Mai M Aly; Taghreed S Meshref; Marwa A Abdelhameid; Shimaa A Ahmed; Asmaa S Shaltout; Alaa Eldin Abdel-Moniem; Dina A Hamad
Journal:  J Blood Med       Date:  2021-06-29

10.  The Clinical Implication of Dynamic Hematological Parameters in COVID-19: A Retrospective Study in Chongqing, China.

Authors:  Huan Yang; Yuan Xu; Zhijie Li; Ling Yan; Jing Wang; Pu Liao
Journal:  Int J Gen Med       Date:  2021-07-30
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