Diagnostic and prognostic significance of the lymphocyte/C-reactive protein ratio, neutrophil/lymphocyte ratio, and D-dimer values in patients with COVID-19

Öztürk, Alpaslan; Kara, Mehmet

doi:10.32604/biocell.2022.023124

Cited by 3 publications

(3 citation statements)

References 44 publications

(53 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kidney damage was reported to be a common complication of COVID-19 infection, especially in patients with severe symptoms. [ 14 , 15 ] The mechanism of kidney injury caused by SARS-CoV-2 infection is still unclear. SARS-CoV-2 might affect kidney cells directly.…”

Section: Discussionmentioning

confidence: 99%

Blood urea nitrogen and clinical prognosis in patients with COVID-19: A retrospective study

Yin,

Wang,

Jiang

et al. 2024

Medicine

View full text Add to dashboard Cite

The aim of this study was to estimate the association between blood urea nitrogen (BUN) and clinical prognosis in patients with COVID-19. A multicenter, retrospective study was conducted in adult patients with COVID-19 in 3 hospitals in Zhenjiang from January 2023 to May 2023. Patients were divided into survival and death group based on whether they survived at day 28. The demographic, comorbidities, and laboratory data were independently collected and analyzed, as well as clinical outcomes. Total 141 patients were enrolled and 23 (16.3%) died within 28 days. Patients who died within 28 days had a higher level of BUN compared with survivors. Bivariate logistic regression analysis showed that BUN was a risk factor for 28-day mortality in patients with COVID-19. ROC curve showed that BUN could predict 28-day mortality of COVID-19 patients (AUC = 0.796, 95%CI: 0.654–0.938, P < .001). When the cutoff value of BUN was 7.37 mmol/L, the sensitivity and specificity were 84.62% and 70.31%. Subgroup analysis demonstrated that hyper-BUN (≥7.37 mmol/L) was associated with increased 28-day mortality among COVID-19 patients. Patients with COVID-19 who died within 28 days had a higher level of BUN, and hyper-BUN (≥7.37 mmol/L) was associated with increased 28-day mortality.

show abstract

Section: Discussionmentioning

confidence: 99%

Blood urea nitrogen and clinical prognosis in patients with COVID-19: A retrospective study

Yin,

Wang,

Jiang

et al. 2024

Medicine

View full text Add to dashboard Cite

show abstract

“…[11] Furthermore, CD4 + and CD8 + T lymphocytes counts reflected the severity of infection of SARS and were good markers of disease activity. [14][15][16] These differences may be caused by insufficient samples or different detection methods, and further verification is needed in the future.…”

Section: Discussionmentioning

confidence: 99%

The correlation of lymphocytes with disease progression of COVID-19

Chu,

Zhao,

Tang

et al. 2023

Medicine

View full text Add to dashboard Cite

The aim of this study is to evaluate the potential of lymphocytes as biomarkers to predict the decline of coronavirus disease 2019 (COVID-19). Lymphocytes were counted in 164 moderate COVID-19 patients in Shenzhen, China. Among the moderate infected patients, 12.2% (20/164) progressed to severe cases after admission. Compared with the stable patients, the counts of lymphocytes, both total T lymphocytes and CD4+ T lymphocytes, in the severe patients, were lower. The aggravation of moderate infected patients was significantly associated with lymphocyte count (hazard ratio [HR] = 0.91; 95% confidence interval [CI]: 0.84–0.99), total T lymphocyte count (HR = 0.91; 95% CI: 0.84–0.99), and CD4+ T lymphocyte count (HR = 0.91; 95% CI: 0.85–0.98). Total T lymphocytes and CD4+ T lymphocytes could be important biomarkers to evaluate the risk of aggravation for moderate infected COVID-19 patients. The patients with low percentages of total T lymphocytes and CD4+ T lymphocytes need more attention.

show abstract

“…In the face of the global pandemic of COVID-19, many researchers have risen to fight against it, hoping to contribute to its eradication. As a result, many studies on COVID-19 are rapidly emerging (Bobermin et al, 2022;Carretta et al, 2022;Ozturk and Kara, 2022), especially on COVID-19 CAD systems.…”

Section: Introductionmentioning

confidence: 99%

PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN

Wang¹,

Pei²,

WANG³

et al. 2023

Biocell

View full text Add to dashboard Cite

Since 2019, the coronavirus disease-19 (COVID-19) has been spreading rapidly worldwide, posing an unignorable threat to the global economy and human health. It is a disease caused by severe acute respiratory syndrome coronavirus 2, a single-stranded RNA virus of the genus Betacoronavirus. This virus is highly infectious and relies on its angiotensin-converting enzyme 2-receptor to enter cells. With the increase in the number of confirmed COVID-19 diagnoses, the difficulty of diagnosis due to the lack of global healthcare resources becomes increasingly apparent. Deep learning-based computer-aided diagnosis models with high generalisability can effectively alleviate this pressure. Hyperparameter tuning is essential in training such models and significantly impacts their final performance and training speed. However, traditional hyperparameter tuning methods are usually time-consuming and unstable. To solve this issue, we introduce Particle Swarm Optimisation to build a PSO-guided Self-Tuning Convolution Neural Network (PSTCNN), allowing the model to tune hyperparameters automatically. Therefore, the proposed approach can reduce human involvement. Also, the optimisation algorithm can select the combination of hyperparameters in a targeted manner, thus stably achieving a solution closer to the global optimum. Experimentally, the PSTCNN can obtain quite excellent results, with a sensitivity of 93.65% ± 1.86%, a specificity of 94.32% ± 2.07%, a precision of 94.30% ± 2.04%, an accuracy of 93.99% ± 1.78%, an F1-score of 93.97% ± 1.78%, Matthews Correlation Coefficient of 87.99% ± 3.56%, and Fowlkes-Mallows Index of 93.97% ± 1.78%. Our experiments demonstrate that compared to traditional methods, hyperparameter tuning of the model using an optimisation algorithm is faster and more effective.

show abstract

Diagnostic and prognostic significance of the lymphocyte/C-reactive protein ratio, neutrophil/lymphocyte ratio, and D-dimer values in patients with COVID-19

Cited by 3 publications

References 44 publications

Blood urea nitrogen and clinical prognosis in patients with COVID-19: A retrospective study

Blood urea nitrogen and clinical prognosis in patients with COVID-19: A retrospective study

The correlation of lymphocytes with disease progression of COVID-19

PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN

Contact Info

Product

Resources

About