J Endocrinol Metab
Journal of Endocrinology and Metabolism, ISSN 1923-2861 print, 1923-287X online, Open Access
Article copyright, the authors; Journal compilation copyright, J Endocrinol Metab and Elmer Press Inc
Journal website https://www.jofem.org

Original Article

Volume 14, Number 2, April 2024, pages 71-77


The Diagnostic and Predictive Role of Neutrophil-Lymphocyte Ratio, Lymphocyte-Monocyte Ratio, Platelet-Lymphocyte Ratio and C-Reactive Protein in Diabetic and Nondiabetic COVID-19 Patients

Raneem Osama Salema, c, Ayesha Nuzhata, Majd Aldeen Kallashb

aBasic Medical Sciences Department, Riyadh Health Cluster 2, King Fahad Medical City, Riyadh 11525, Saudi Arabia
bDiabetic Center and Endocrinology, Riyadh Health Cluster 2, King Fahad Medical City, Riyadh 11525, Saudi Arabia
cCorresponding Author: Raneem Osama Salem, Basic Medical Sciences Department, Riyadh Health Cluster 2, King Fahad Medical City, Riyadh 11525, Saudi Arabia

Manuscript submitted January 8, 2024, accepted March 1, 2024, published online March 27, 2024
Short title: Lab Parameters in COVID-19 and Diabetes
doi: https://doi.org/10.14740/jem934

Abstract▴Top 

Background: Coronavirus disease 2019 (COVID-19) infection is more severe in diabetic cases due to abnormality in hematological and inflammatory markers. This study was conducted to determine the values of neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR) and C-reactive protein in COVID-19 diabetic and COVID-19 nondiabetic patients, with a specific focus on associating these markers with disease severity and mortality.

Methods: A descriptive study was done by collecting hematological and inflammatory laboratory parameters of COVID-19 diabetic patients (n = 123) and COVID-19 nondiabetic patients (n = 124) retrospectively at King Fahad Medical City, Saudi Arabia.

Results: Compared with nondiabetics, patients with diabetes were older, and their mean values of white blood cells (9.16; 8.22), monocytes (7.68; 7.08), and eosinophils were high (0.69; 0.26), and lymphocytes were low (17.65; 18.77). The NLR, LMR, PLR, C-reactive protein and D-dimer were higher, with statistical significance for NLR (P = 0.05) and PLR (P = 0.005). Diabetic COVID-19 cases had longer hospital stay (17 days), higher intensive care admissions (28.5%), and a higher mortality rate (11.4%). The percentage of diabetic COVID-19 patients with comorbidities was higher. Multinomial logistic regression analysis was performed controlling for age and sex, and we obtained odds ratio for several factors. The association for NLR, LMR, PLR and D-dimer with mortality and severity was not statistically significant.

Conclusions: The results obtained from this research identified that NLR, LMR, PLR, C-reactive protein, and D-dimer were higher in COVID-19 diabetic patients than COVID-19 nondiabetic patients.

Keywords: COVID-19; Diabetes; C-reactive protein; Severity; Mortality; Lab parameters

Introduction▴Top 

Coronavirus was recognized by the World Health Organization (WHO) and declared as a pandemic on January 12, 2020, and is known to cause common cold and severe acute respiratory syndrome (SARS) depending mainly on the hosts’ inflammatory response [1, 2].

The majority of patients with symptomatic infections demonstrate mild disease (with or without pneumonia). About 15-20% of the patients with symptomatic infections progress to severe disease (dyspnea, hypoxia, or > 50% lung involvement) [3]. Severe disease can affect healthy individuals of all age groups; however, it chiefly encompasses adults of advanced age or people with certain comorbidities, such as hypertension, cancer, obesity, diabetes mellitus, chronic lung disease, and chronic kidney disease. According to International Diabetic Federation report 2021, prevalence rate of diabetes mellitus in Saudi Arabia is 17.7% [4]. Many patients with diabetes mellitus were affected by coronavirus disease 2019 (COVID-19) during the pandemic across Saudi Arabia. A large, retrospective, 3-month study done on 7,260 COVID-19 patients in Riyadh from May 2020 to July 2020, reported that 920 (12.6%) had type 2 diabetes mellitus [5]. Another cross-sectional study performed in Riyadh in 2020, including 458 COVID-19 patients, revealed that 62 (13.6%) patients were found to have type 2 diabetes mellitus [6]. Many studies have shown that patients with diabetes and severe COVID-19 had a severe inflammatory response and were more likely to have higher mortality compared to nondiabetics [7-10]. These abnormalities in hematological and inflammatory markers in diabetic COVID-19 patients need to be diagnosed early, and prompt treatment with anticoagulants should be initiated to prevent morbidity [11].

Severe COVID-19 disease cases exhibit increased leukocyte, neutrophil, eosinophil, and monocyte count than those with non-severe disease and necessitate intensive care unit (ICU) level of care. The lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), D-dimer, and C-reactive protein are easily obtained from a complete blood picture with a differential profile. The NLR, LMR, PLR, and C-reactive protein have been selected because in recent studies these factors are reported to measure the degree of systemic inflammation and indicate prognosis in COVID-19 cases [12]. Also, as inflammation progresses in COVID-19, changes in the levels of many cells such as lymphocytes, monocytes, neutrophils, and platelets cause subsequent change in relevant indices such as NLR, PLR, and LMR, as well as serum acute phase proteins such as C-reactive protein. Henry et al showed that patients with severe COVID-19 had significantly higher white blood cell (WBC) and lower platelet and lymphocyte counts than non-severe cases [13].

Type 2 diabetes is more prevalent (20%) among COVID-19 patients, and diabetic patients are more prone to be affected severely and are vulnerable to death than nondiabetic COVID-19 patients. Li et al reported that the mortality rate for diabetic patients with COVID-19 was 14.5%, which is higher than nondiabetic patients (5.7%) [14]. So, patients with COVID-19 and diabetes need extra care [14]. There is very limited evidence on the clinical characteristics and outcomes of hospitalized COVID-19 patients with or without diabetes mellitus in Saudi Arabia in particular [15-17].

Alahmari et al conducted a retrospective study in Saudi Arabia and reported that more than 70% had mild-to-moderate symptoms; 45% had either diabetes or hypertension with the median length of hospital stay being 7.00 days (interquartile range (IQR): 3 - 11) [15].

Abujabal et al in 2023 collected retrospective data on socio-demographics, medical history, biomarkers, and disease outcomes from five hospitals and health institutions in Saudi Arabia and reported that common presentation of COVID-19 in their study was pneumonia, and the presence of abnormal inflammatory biomarkers (D-dimer, C-reactive protein, troponin, lactate dehydrogenase (LDH), ferritin, and WBC) were significantly associated with unstable COVID-19 disease [16].

Alguwaihes et al conducted a single-center study in Saudi Arabia and revealed that the most prevalent comorbidities in COVID-19 patients were diabetes mellitus (68.3%), hypertension (42.6%) and obesity (42.2%). During hospitalization, 77 (17.5%) patients died, thus indicating that diabetes mellitus patients had a higher death rate (20.5% versus 12.3%; P = 0.04) and lower survival time (P = 0.016) than non-diabetes mellitus [17].

Our study will measure NLR, LMR, PLR, C-reactive protein and D-dimer in the Saudi population as they may differ from published values in different populations. In addition, we will predict which factors are associated with disease progression and mortality, thus enabling the clinicians to apply them in the investigation and treatment of COVID-19 diabetic disease states before it devastates their life.

The aim of the study was to determine the values of NLR, LMR, PLR, D-dimer and C-reactive protein in COVID-19 diabetic and COVID-19 nondiabetic patients and to associate them with disease severity and mortality.

Materials and Methods▴Top 

It was a descriptive retrospective study, and the study population were patients at King Fahad Medical City, with COVID-19 and diabetes, and COVID-19 patients without diabetes (total n = 247).

The inclusion criteria were all type 2 diabetic patients > 18 years old with COVID-19 (n = 123 out of 126 total reported) (irrespective of duration of diabetes, and with hemoglobin A1c (HbA1c) > 6.5%) and nondiabetic patients with COVID-19 (n = 124 out of total 133 reported).

Diabetic patients with prior hematological and thromboembolic disorders and patients with incomplete records were excluded.

Study setting

Only retrospective data were collected from King Fahad Medical City medical records between March and December 2020.

Data collection

Sample size

The study involved a sample size of 247 participants. The sample size calculation was performed with a significance level of 0.05% and a power of 80%, using the Sealed Envelope website [18].

Data collection procedure

Laboratory parameters such as hemoglobin, HbA1c, total WBC count, differential count, NLR, LMR, PLR, C-reactive protein, D-dimer from medical records at King Fahad Medical City were retrospectively collected before low-molecular-weight heparin (LMWH) was given. The data were obtained from medical records as needed, according to sample size calculated and available cases during that period after requesting information of cases from the Infection Control Department according to selection criteria mentioned above (COVID-19 patients with and without diabetes). Type 2 diabetic patients > 18 years old with COVID-19 (n = 123 out of 126 total reported) (irrespective of duration of diabetes, and with HbA1c > 6.5%) and nondiabetic patients with COVID-19 (n = 124 out of total 133 reported), both males and females, were selected. Records with incomplete information were excluded.

Data analysis

Data were transferred to EXCEL and analyzed in SPSS version 26. Descriptive statistics like mean and standard deviation values were calculated for the normally distributed variables, while independent samples t-test was used to compare between the groups. NLR was calculated by dividing neutrophil count by lymphocyte count, LMR by dividing lymphocyte count by monocyte count, and PLR by dividing platelet count by lymphocytes. P value of < 0.05 was considered of statistical significance. COVID-19 was classified into mild disease (according to the criteria in previous studies (with or without pneumonia)) and severe disease (dyspnea, hypoxia, or > 50% lung involvement), by a consultant clinician working in the Diabetic Center [3].

Multinomial logistic regression analysis controlled for age and sex was done to detect predictive factors for severity and mortality of illness.

Ethical approval

The Institutional Review Board (IRB) approval was obtained (IRB number: 22-420) from the IRB Committee at King Fahad Medical City, Saudi Arabia. All the data collected were kept confidential in a password protected document, and its contents were not disclosed to people not participating in the study. The study was conducted in compliance with the ethical standards of the responsible institution on human subjects as well as with the Helsinki Declaration.

Results▴Top 

Compared with nondiabetics, patients with diabetes were older, and their average/mean values of WBC (9.16; 8.22 × 109 cells/L), monocytes (7.68; 7.08 × 109 cells/L), and eosinophils (0.69; 0.26 × 109 cells/L) were higher, and lymphocytes were lower (17.65; 18.77 × 109 cells/L). Diabetic COVID-19 cases had a longer stay in the hospital (17 days), had higher ICU admissions (28.5%), with comorbidities (83.7%), and a higher mortality rate (11.4%) (Table 1).

Table 1.
Click to view
Table 1. Demographic Features of Patients With COVID-19 Infection With Diabetes Mellitus (N = 123) and COVID-19 Infection Without Diabetes Mellitus (N = 124)
 

The NLR, LMR, PLR, C-reactive protein and D-dimer were higher with statistical significance for NLR (P = 0.05) and PLR (P = 0.005) (Table 2).

Table 2.
Click to view
Table 2. Lab Parameters of Patients With COVID-19 Infection With Diabetes Mellitus (N = 123) and COVID-19 Infection Without Diabetes Mellitus (N = 124)
 

Association with mortality and severity

Multinomial logistic regression analysis was performed controlling for age and sex, and we obtained odds ratio (OR) for several factors. However, the association for NLR, LMR, PLR and D-dimer with mortality (Table 3) and severity (Table 4) was not clinically significant.

Table 3.
Click to view
Table 3. Multinomial Regression Analysis Controlling for Age and Sex to Know the Impact of Lab Parameters on COVID-19 Mortality
 

Table 4.
Click to view
Table 4. Multinomial Regression Analysis Controlling for Age and Sex to Know the Impact of Lab Parameters on COVID-19 Severity
 
Discussion▴Top 

COVID-19 patients with diabetes have received extra consideration, due to severity of cases and higher mortality rate. In the present study, we identified hematologic and inflammatory markers such as NLR, LMR, PLR, C-reactive protein, and D-dimer in COVID-19 patients with and without type 2 diabetes mellitus in Saudi population and their association with severity and mortality of the disease.

In our study, majority of the patients affected with COVID-19 and diabetes were males. This is similar to the study conducted by Alguwaihes et al, where males were more than females in the ratio of 2:1, indicating a biological risk for COVID-19 [17]. Since the spread of the pandemic all across the world from 2020, many studies have been conducted revealing that blood parameters like NLR, LMR, PLR, D-dimer and C-reactive protein, apart from other factors, are higher in COVID-19 cases, and these heightened levels have been identified as predictors for various outcomes, including disease severity, hospital admission, ICU admission, intubation, and mortality [19-22].

Guo et al in 2020 reported that the presence of diabetes has been associated with the poorer survival of COVID-19 cases with a hazard ratio (HR) of 3.17 (95% confidence interval (CI): 1.93 - 5.20) even after adjusting for age and other comorbidities (HR = 1.53, 95% CI: 1.02 - 2.30) [19].

In our study among 123 COVID-19 diabetic patients, 83.7% had comorbidities, making their average stay in the hospital more than 2 weeks, with a greater number of admissions in ICU and higher mortality rate. Zhang et al conducted a study and revealed that COVID-19 patients with diabetes and secondary hyperglycemia were classified as more critical and had about 2 - 5-fold greater composite outcomes risk compared with controls, as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection releases increased amounts of glucocorticoids and catecholamines, further elevating blood glucose and causing hyperglycemia, leading to release of the proinflammatory monocytes, augmenting platelet reactivity, ultimately contributing to increased number of deaths in diabetic individuals [20].

In a study conducted by Liu et al of 134 COVID-19 patients with diabetes, correlation analysis between inflammatory markers and prognosis revealed that age, NLR, and LMR were correlated with COVID-19 severity in type 2 diabetics. In multivariate regression analysis after controlling for the relevant confounding factors, COVID-19 diabetes patients with higher NLR had more severity, and longer duration of hospital stay [21]. Varikasuvu et al in 2020 reported that the levels of C-reactive protein (standardized mean difference (SMD) = 0.53, CI: 0.20 - 0.86, P = 0.002), and D-dimers (SMD = 0.54, CI: 0.16 - 0.91, P = 0.005) were significantly higher in diabetic COVID-19 cases as compared to nondiabetic COVID-19 patients, signifying that diabetic COVID-19 patients are more susceptible to coagulation dysfunction and inflammatory storm [22].

In another study by Yang et al, elevated NLR and age were considerably related with illness severity. The binary logistic analysis revealed increased NLR (HR: 2.46, 95% CI: 1.98 - 4.57) and age (HR: 2.52, 95% CI: 1.65 - 4.83) as independent factors for poor clinical consequence of COVID-19 [23].

In severe COVID-19 cases, there is dysregulation of immune pattern characterized by constant cytokine release and hyperinflammation. In addition, abnormalities in biochemical, hematological, immune, and inflammatory biomarkers lead to lymphocytopenia, decreased monocyte and eosinophil counts, and elevated neutrophil counts. Taj et al in 2021 revealed that leukocytosis, neutrophilia and increased NLR, as well as C-reactive protein had a major relationship with the disease severity and was highest in patients with critical disease [24]. Other studies have also associated elevated C-reactive protein with disease severity and mortality [25-27].

Lee et al reported that the mean LMR, PLR, and mean platelet volume (MPV) were 5.31 (1.68), 132.40 (43.68), and 10.02 (0.79), respectively and recommended that patients with age < 50 years old and NLR ≥ 3.13 at low risk should be kept in general isolation ward. Patients with age ≥ 50 and NLR < 3.13 patients at moderate risk, should be admitted to isolation ward with respiratory monitoring and supportive care. Patients with age ≥ 50 and NLR ≥ 3.13 at high risk should be actively transferred to ICU [3]. Liao et al in their study also demonstrated high NLR as a prognosticator for severity and mortality of SARS-CoV-2 infection [27]. Kurt et al in their study reported that the risk of COVID-19 was significantly correlated to the NLR level (adjusted OR: 1.438, P = 0.012) [11].

In our study, the NLR, LMR, PLR, C-reactive protein and D-dimer were higher in COVID-19 patents with diabetes. It has been reported that SARS-CoV-2 infects circulating immune cells, promotes inflammation and intensifies apoptosis of lymphocytes, leading to lymphocytopenia, and thus altering NLR and LMR with the severity of COVID-19 [28]. The C-reactive protein released in hyperinflammatory state is regulated by proinflammatory cytokines, chiefly by interleukin-6 (IL-6), which is elevated in most COVID-19 patients, thereby affecting the disease severity and prognosis [29].

Various studies have reported that in COVID-19 cases there is an upsurge in inflammatory and hyper coagulation status as compared to non-COVID-19 cases. Moreover the presence of chronic diseases like type 2 diabetes mellitus further affects the degree of inflammatory and coagulation dysfunction in COVID-19 [30-33]. Expression of angiotensin-converting enzyme 2 (ACE2) is more concerted in epithelial cells of the lung, intestine, kidney, and blood vessels, thereby affecting these organs more than the other organs [34, 35].

There are certain limitations to our study, as the sample size is not huge in this retrospective study, selection bias might have occurred. Also, the duration of diabetes mellitus was not recorded, and if known it would definitely have added value to the study.

Despite the limitations, the findings of the present study are robust, and add value to the limited literature on COVID-19 patients with diabetes in this region. It is one of the very few studies conducted in Saudi population to comprehensively compare several factors among COVID-19 patients with and without diabetes. Emerging biomarkers are not routinely assessed, such as N-terminal-pro-brain natriuretic peptide, high-sensitivity troponin (hs-troponin), and triglyceride-glucose (TyG) index were not taken into account [36, 37].

Due to incomplete documentation of certain values, and limited accuracy of medical records in retrospective studies, it is advisable to conduct prospective studies with larger sample size and multiple medical centers across the region that could probably add more information to the existing knowledge regarding predicting factors of severity and mortality in COVID-19 patients. Also, treatment options that prevent progress of the disease need exploration, especially in patients with associated comorbidities that could shorten the life span of the patients.

Conclusions

The results obtained from this research indicated that NLR, LMR, PLR, C-reactive protein, and D-dimer were higher in COVID-19 diabetic patients compared to COVID-19 nondiabetic patients.

In summary, diabetes mellitus is highly prevalent among COVID-19 patients in Riyadh, Saudi Arabia. While the age of diabetes mellitus patients is higher, with longer duration of stay, a greater number of ICU admissions, and a higher mortality rate than non-diabetes mellitus patients, other factors such as elevated C-reactive protein appear to be more significant predictors of mortality. Diabetic COVID-19 patients with comorbidities on admission are more likely to receive intensive care.

Acknowledgments

We would like to thank the Diabetic Center at King Fahad Medical City for facilitating the conduct of this study and Dr. Shawana Zaheer for entering and reviewing the data. Also, we would like to thank the Research Center at RC2 for funding this project.

Financial Disclosure

This study was funded by the Research Center at King Fahad Medical City (grant number: IRF-022-016).

Conflict of Interest

The authors have no conflict of interest to disclose.

Informed Consent

The informed consent was waived by the IRB since we only used the patient results without identification.

Author Contributions

Raneem Salem and Ayesha Nuzhat conceptualized this study, did the formal analysis and investigation, wrote the original draft, read the manuscript, and approved it. Majd Aldeen Kallash contributed to the review of patients’ data and final review of the manuscript.

Data Availability

The data presented in the study are available on request from the corresponding author during submission or after publication.


References▴Top 
  1. World Health Organization. Director-General’s remarks at the media briefing on 2019-nCoV. 2020. Available from: URL: https://www.who.int/director-general/speeches/detail/who-directorgeneral-s-remarks-at-the-media-briefing-on-2019-ncov-on-11-february-2020.
  2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506.
    doi pubmed pmc
  3. Lee JS, Kim NY, Na SH, Youn YH, Shin CS. Reference values of neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, platelet-lymphocyte ratio, and mean platelet volume in healthy adults in South Korea. Medicine (Baltimore). 2018;97(26):e11138.
    doi pubmed pmc
  4. Available from URL: https://idf.org/our-network/regions-and-members/middle-east-and-north-africa/members/rior-arabia.Accessed.
  5. Al Hayek AA, Robert AA, Matar AB, Algarni A, Alkubedan H, Alharbi T, Al Amro A, et al. Risk factors for hospital admission among COVID-19 patients with diabetes. A study from Saudi Arabia. Saudi Med J. 2020;41(10):1090-1097.
    doi pubmed pmc
  6. Alqahtani AM, AlMalki ZS, Alalweet RM, Almazrou SH, Alanazi AS, Alanazi MA, AlShehri AA, et al. Assessing the severity of illness in patients with coronavirus disease in Saudi Arabia: a retrospective descriptive cross-sectional study. Front Public Health. 2020;8:593256.
    doi pubmed pmc
  7. Yan Y, Yang Y, Wang F, Ren H, Zhang S, Shi X, Yu X, et al. Clinical characteristics and outcomes of patients with severe covid-19 with diabetes. BMJ Open Diabetes Res Care. 2020;8(1):e001343.
    doi pubmed pmc
  8. Barron E, Bakhai C, Kar P, Weaver A, Bradley D, Ismail H, Knighton P, et al. Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: a whole-population study. Lancet Diabetes Endocrinol. 2020;8(10):813-822.
    doi pubmed pmc
  9. Gregory JM, Slaughter JC, Duffus SH, Smith TJ, LeStourgeon LM, Jaser SS, McCoy AB, et al. COVID-19 severity is tripled in the diabetes community: a prospective analysis of the pandemic's impact in type 1 and type 2 diabetes. Diabetes Care. 2021;44(2):526-532.
    doi pubmed pmc
  10. Powers AC, Aronoff DM, Eckel RH. COVID-19 vaccine prioritisation for type 1 and type 2 diabetes. Lancet Diabetes Endocrinol. 2021;9(3):140-141.
    doi pubmed pmc
  11. Kurt NG, Gunes C. Prognostic Significance of Blood Parameters in COVID-19 Pneumonia. Erciyes Medical Journal. 2021;43(5):470.
  12. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in china: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-1242.
    doi pubmed
  13. Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis. Clin Chem Lab Med. 2020;58(7):1021-1028.
    doi pubmed
  14. Li G, Deng Q, Feng J, Li F, Xiong N, He Q. Clinical characteristics of diabetic patients with COVID-19. J Diabetes Res. 2020;2020:1652403.
    doi pubmed pmc
  15. Alahmari AK, Almalki ZS, Albassam AA, Alsultan MM, Alshehri AM, Ahmed NJ, Alqahtani AM. Factors associated with length of hospital stay among COVID-19 patients in Saudi Arabia: a retrospective study during the first pandemic wave. Healthcare (Basel). 2022;10(7):1201.
    doi pubmed pmc
  16. Abujabal M, Shalaby MA, Abdullah L, Albanna AS, Elzoghby M, Alahmadi GG, Sethi SK, et al. Common prognostic biomarkers and outcomes in patients with COVID-19 infection in Saudi Arabia. Trop Med Infect Dis. 2023;8(5):260.
    doi pubmed pmc
  17. Alguwaihes AM, Al-Sofiani ME, Megdad M, Albader SS, Alsari MH, Alelayan A, Alzahrani SH, et al. Diabetes and Covid-19 among hospitalized patients in Saudi Arabia: a single-centre retrospective study. Cardiovasc Diabetol. 2020;19(1):205.
    doi pubmed pmc
  18. Pocock SJ. Clinical trials: a practical approach. Wiley; 1983. Sealed Envelope Ltd. 2012. Power calculator for binary outcome superiority trial. [Online]. [Accessed Sep 21, 2022]. Available from: https://www.sealedenvelope.com/power/binary-superiority.
  19. Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, Qin R, et al. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020;36(7):e3319.
    doi pubmed pmc
  20. Zhang Y, Li H, Zhang J, Cao Y, Zhao X, Yu N, Gao Y, et al. The clinical characteristics and outcomes of patients with diabetes and secondary hyperglycaemia with coronavirus disease 2019: A single-centre, retrospective, observational study in Wuhan. Diabetes Obes Metab. 2020;22(8):1443-1454.
    doi pubmed pmc
  21. Liu G, Zhang S, Hu H, Liu T, Huang J. The role of neutrophil-lymphocyte ratio and lymphocyte-monocyte ratio in the prognosis of type 2 diabetics with COVID-19. Scott Med J. 2020;65(4):154-160.
    doi pubmed
  22. Varikasuvu SR, Varshney S, Dutt N. Markers of coagulation dysfunction and inflammation in diabetic and non-diabetic COVID-19. J Thromb Thrombolysis. 2021;51(4):941-946.
    doi pubmed pmc
  23. Yang AP, Liu JP, Tao WQ, Li HM. The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients. Int Immunopharmacol. 2020;84:106504.
    doi pubmed pmc
  24. Taj S, Kashif A, Arzinda Fatima S, Imran S, Lone A, Ahmed Q. Role of hematological parameters in the stratification of COVID-19 disease severity. Ann Med Surg (Lond). 2021;62:68-72.
    doi pubmed pmc
  25. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054-1062.
    doi pubmed pmc
  26. Del Valle DM, Kim-Schulze S, Huang HH, Beckmann ND, Nirenberg S, Wang B, Lavin Y, et al. An inflammatory cytokine signature predicts COVID-19 severity and survival. Nat Med. 2020;26(10):1636-1643.
    doi pubmed pmc
  27. Liao D, Zhou F, Luo L, Xu M, Wang H, Xia J, Gao Y, et al. Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: a retrospective cohort study. Lancet Haematol. 2020;7(9):e671-e678.
    doi pubmed pmc
  28. Xiang Q, Feng Z, Diao B, Tu C, Qiao Q, Yang H, Zhang Y, et al. SARS-CoV-2 induces lymphocytopenia by promoting inflammation and decimates secondary lymphoid organs. Front Immunol. 2021;12:661052.
    doi pubmed pmc
  29. Luo X, Zhou W, Yan X, et al. Prognostic value of C-reactive protein in patients with COVID-19. Clin Infect Dis. 2020;23:ciaa641.
  30. Spiezia L, Boscolo A, Poletto F, Cerruti L, Tiberio I, Campello E, Navalesi P, et al. COVID-19-related severe hypercoagulability in patients admitted to intensive care unit for acute respiratory failure. Thromb Haemost. 2020;120(6):998-1000.
    doi pubmed pmc
  31. Di Micco P, Russo V, Carannante N, Imparato M, Rodolfi S, Cardillo G, Lodigiani C. Clotting factors in COVID-19: epidemiological association and prognostic values in different clinical presentations in an Italian Cohort. J Clin Med. 2020;9(5):1371.
    doi pubmed pmc
  32. Han H, Yang L, Liu R, Liu F, Wu KL, Li J, Liu XH, et al. Prominent changes in blood coagulation of patients with SARS-CoV-2 infection. Clin Chem Lab Med. 2020;58(7):1116-1120.
    doi pubmed
  33. Wan Y, Shang J, Graham R, Baric RS, Li F. Receptor recognition by the novel coronavirus from wuhan: an analysis based on decade-long structural studies of SARS coronavirus. J Virol. 2020;94(7):e00127-20.
    doi pubmed pmc
  34. Xiong Y, Liu Y, Cao L, Wang D, Guo M, Jiang A, Guo D, et al. Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients. Emerg Microbes Infect. 2020;9(1):761-770.
    doi pubmed pmc
  35. Dallavalasa S, Tulimilli SV, Prakash J, Ramachandra R, Madhunapantula SV, Veeranna RP. COVID-19: diabetes perspective-pathophysiology and management. Pathogens. 2023;12(2):184.
    doi pubmed pmc
  36. Ceriello A, Standl E, Catrinoiu D, Itzhak B, Lalic NM, Rahelic D, Schnell O, et al. Issues for the management of people with diabetes and COVID-19 in ICU. Cardiovasc Diabetol. 2020;19(1):114.
    doi pubmed pmc
  37. Ren H, Yang Y, Wang F, Yan Y, Shi X, Dong K, Yu X, et al. Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19. Cardiovasc Diabetol. 2020;19(1):58.
    doi pubmed pmc


This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Journal of Endocrinology and Metabolism is published by Elmer Press Inc.

 

Browse  Journals  

 

Journal of Clinical Medicine Research

Journal of Endocrinology and Metabolism

Journal of Clinical Gynecology and Obstetrics

 

World Journal of Oncology

Gastroenterology Research

Journal of Hematology

 

Journal of Medical Cases

Journal of Current Surgery

Clinical Infection and Immunity

 

Cardiology Research

World Journal of Nephrology and Urology

Cellular and Molecular Medicine Research

 

Journal of Neurology Research

International Journal of Clinical Pediatrics

 

 
       
 

Journal of Endocrinology and Metabolism, bimonthly, ISSN 1923-2861 (print), 1923-287X (online), published by Elmer Press Inc.                     
The content of this site is intended for health care professionals.
This is an open-access journal distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, which permits unrestricted
non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Creative Commons Attribution license (Attribution-NonCommercial 4.0 International CC-BY-NC 4.0)


This journal follows the International Committee of Medical Journal Editors (ICMJE) recommendations for manuscripts submitted to biomedical journals,
the Committee on Publication Ethics (COPE) guidelines, and the Principles of Transparency and Best Practice in Scholarly Publishing.

website: www.jofem.org   editorial contact: editor@jofem.org
Address: 9225 Leslie Street, Suite 201, Richmond Hill, Ontario, L4B 3H6, Canada

© Elmer Press Inc. All Rights Reserved.


Disclaimer: The views and opinions expressed in the published articles are those of the authors and do not necessarily reflect the views or opinions of the editors and Elmer Press Inc. This website is provided for medical research and informational purposes only and does not constitute any medical advice or professional services. The information provided in this journal should not be used for diagnosis and treatment, those seeking medical advice should always consult with a licensed physician.