Tag Archives: prognostic biomarkers

Admission biomarkers and COVID-19 mortality: A retrospective study during Vietnam’s pandemic peak

Uyen Thi Bich Nguyen1, Hau Phuc Le2,3, Vu Hoang Anh Nguyen4, Ai-Thanh Tran-Nguyen4,5

1 Department of Nephrology and Hemodialysis, Le Van Viet Hospital, Ho Chi Minh City, Vietnam
2 Outpatient Clinic for HIV-AIDS Patients, Chau Thanh District Medical Center, Tra Vinh Province, Vietnam
3 Can Tho University of Medicine and Pharmacy, Can Tho, Vietnam
4 Department of Psychosomatic Medicine, Thu Duc City Hospital, Ho Chi Minh City, Vietnam
5 Thu Duc City Hospital, Ho Chi Minh City, Vietnam

DOI: 10.2478/jccm-2026-0012

Background: This study aimed to evaluate the prognostic value of key admission biomarkers in predicting mortality among hospitalized COVID-19 patients and to establish optimal cut-off thresholds for clinical decision-making.
Methods: Retrospective cohort study included 269 COVID-19 patients treated at Thu Duc City Hospital, Vietnam, during the peak of the fourth pandemic wave in 2021. Logistic regression identified independent predictors of mortality, and receiver operating characteristic (ROC) curve analysis assessed the diagnostic performance of biomarkers. The area under the ROC curve (AUROC), Sensitivity, Specificity and Accuracy Index were used to determine optimal cut-off values.
Results: Among the 269 patients, 53 (19.7%) died and 216 (80.3%) survived. Non-survivors exhibited elevated D-dimer (4.48 μg/mL vs 0.93 μg/mL, p < 0.0001), neutrophil counts (6.8 × 10⁹/L vs 3.5 × 10⁹/L, p < 0.0001) and white blood cell counts (11.68 × 10⁹/L vs. 7.87 × 10⁹/L, p < 0.0001). Lymphocyte counts and fibrinogen levels were significantly lower in non-survivors (p < 0.05). Logistic regression identified D-dimer (OR = 1.05, 95% CI: 1.02–1.09, p = 0.001), neutrophil counts (OR = 1.32, 95% CI: 1.10–1.63, p = 0.005) and lymphocyte counts (OR = 0.51, 95% CI: 0.26–0.92, p = 0.033) as significant predictors of mortality. ROC analysis revealed that D-dimer (AUROC = 0.809) and neutrophil counts (AUROC = 0.726) demonstrated strong discriminatory power, with cut-off values of ≥1.126 μg/mL (sensitivity = 90.57%, specificity = 60.19%) and ≥6.715 × 10⁹/L (sensitivity = 52.83%, specificity = 82.87%), respectively.
Conclusion: These findings support the use of admission biomarkers to guide early interventions and improve patient outcomes in severe COVID-19 cases. Further studies are warranted to validate these results and explore their applicability in other settings.

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An Evaluation of Serum Procalcitonin and C-Reactive Protein Levels as Diagnostic and Prognostic Biomarkers of Severe Sepsis

Janos Szederjesi1*, Emoke Almasy1, Alexandra Lazar1, Adina Huțanu2, Iudita Badea1, Anca Georgescu3

1 Department of Anesthesiology and Intensive Care, University of Medicine and Pharmacy Tirgu Mures, Romania
2 County Clinical Emergency Hospital Tirgu Mures, Romania
3 Department of Infectious Diseases, University of Medicine and Pharmacy Tirgu Mures, Romania

DOI: 10.1515/jccm-2015-0022

Background: Recommendations have been made, following the multicenter Surviving Sepsis Campaign study, to standardize the definition of severe sepsis with reference to several parameters such as haemodynamic stability, acid-base balance, bilirubin, creatinine, International Normalized Ratio (INR), urine output and pulmonary functional value of the ratio between arterial oxigen partial pressure and inspiratory oxigen concentration. Procalcitonin (PCT) is considered to be a gold standard biomarker for the inflammatory response, and recent studies have shown that it may help to discover whether a seriously ill person is developing sepsis. C-reactive protein (CRP) is also used as a marker of inflammation in the body, as its blood levels increase if there is any inflammation in the body.
The aim of this study was to evaluate serum procalcitonin and C-reactive protein levels as diagnostic and prognostic biomarkers of severe sepsis.
Material and method: Sixty patients, diagnosed as being “septic”, were admitted to the intensive care unit (ICU). Based on laboratory results and clinical findings a diagnosis of “severe sepsis“ was made, and correlated with PCT and CRP values. The APACHE II, SAPS II and SOFA severity scores were calculated, analyzed and correlated with PCT and CRP.
Results: Fifty two patients (86.67%) presented with criteria for severe sepsis. Multivariate correlation analysis indicated a significant positive association between procalcitonin and all severity scores (APACHEII p<0.0001, SOFA p<0.0001, SAPS II p<0.0001). CRP proved to be significantly correlated only with the SAPS II score (p=0.0145). Mortality rate was high, with 48 patients (80%) dying. There was no significant correlation between the levels of the PCT and CRP biomarkers and severe sepsis (p=0.2059 for PCT, p=0.6059 for CRP).
Conclusions: The procalcitonin levels are highly correlated with the severity scores (APACHE II, SAPS II, SOFA) regularly used in ICUs and therefore can be used for determining the severity of the septic process. Quantitive procalcitonin and C-reactive protein analysis was not shown to be useful in diagnosing severe sepsis. However, PCT and CRP can be used to predict the fatal progression of the septic patient.

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