Roles of certain biochemical and hematological parameters in predicting mortality and ICU admission in COVID-19 patients

Bilgir, Ferda; Çalık, Şebnem; Demir, İsmail; Bilgir, Oktay

doi:10.1590/1806-9282.67.suppl1.20200788

Cited by 11 publications

(8 citation statements)

References 17 publications

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“… 8 Moreover, Bilgir et al showed that CRP is significant for mortality and ICU admission in COVID-19 patients. 28 It has been determined that our findings regarding CRP values are compatible with the literature.…”

Section: Discussionsupporting

confidence: 90%

Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients

Türker¹,

Türker²,

Ahbab³

et al. 2022

IJGM

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Various parameters have been proposed to predict the outcome of patients with coronavirus disease. The aim of this study was to evaluate the utility of the age-adjusted CCI score and biochemical parameters for predicting outcomes for COVID-19 patients on admission. Patients and methods: A total of 511 patients were included in the study. Only swab or serological tests positive patients were included. The clinical characteristics of the patients were compared between survival and non-survival COVID-19 inpatients. Hemoglobin, platelet, sedimentation, creatinine, AST, ALT, LDH, CK, albumin, ferritin, lymphocyte, neutrophil, CRP (1-5;5-10;10-20 × upper limit), procalcitonin (5-10;10-20; > 20 × upper limit), D Dimer (> 2 × upper limit), age, gender, chronic diseases and CCI scores were compared between the two groups. Results: 68 patients died and 443 patients survived. Mean age was 74.3±7.3 years in survival group and 76.7±8.0 in nonsurvival group. Age, male sex, ischemic heart disease (CHD), chronic kidney disease and active malignancy was statistically higher in non-survivor group. The biochemical parameters was compared in survival and nonsurvival group. CCI score, AST, LDH, CK, Ferritin, CRP are significantly higher and albumin, lymphocyte levels are significantly lower in nonsurvival group. D-dimer and procalcitonin levels are significantly higher in nonsurvival group. CCI score and neutrophil, creatinine, ALT, AST, d-dimer and procalcitonin elevations were correlated. Low albumin and lymphocyte levels were correlated with the CCI score. There was no significant correlation between ferritin, sedimentation, CRP levels and CCI score. A multivariate logistic regression analysis indicated that anaemia, elevated CRP (> 10-20 × upper limit), procalcitonin (> 5-10 × upper limit), ALT, AST levels and higher CCI score were independent risk factors for mortality in COVID-19 patients. Conclusion: Anaemia, elevated CRP, procalcitonin levels, ALT, AST levels and higher CCI score were found independent risk factors for mortality in COVID-19 patients.

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Section: Discussionsupporting

confidence: 90%

Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients

Türker¹,

Türker²,

Ahbab³

et al. 2022

IJGM

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“…19 The AUC for D-dimer and serum ferritin in our study was found to be fair predictors of severity. The previous researchers found serum ferritin and D-dimer to be useful predictors for severity of COVID-19 illness with good to excellent diagnostic accuracy 3,10,13,20 whereas, our study revealed that D-dimer and serum ferritin were significantly elevated in critically ill COVID patients and both were useful to predict the severity of COVID illness with fair diagnostic accuracy (Table 4 and Figure 4). COVID-19 has an unclear future even though the current situation seems to be the ebb of the virus; if the virus continues to circulate among us for years, long-term consequences are likely to compound exponentially.…”

Section: Discussionmentioning

confidence: 40%

Role of hematological parameters and biochemical markers as a predictor of severity of COVID-19 patients

et al. 2022

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Background: The etiological agent for pandemic COVID-19 is severe acute respiratory syndrome corona virus 2. Hematological and biochemical parameters are the indicators of inflammation and coagulopathy. Aims and Objectives: The present study aimed to determine how effectively the hematological parameters and biochemical markers can help predict the severity of critically ill COVID-19 patients. Materials and Methods: The current retrospective cohort study was conducted among 200 COVID-19 patients admitted in the Sanjay Gandhi Memorial Hospital, Rewa, Madhya Pradesh, India. In our lab’s computerized system, certain hematological and biochemical parameters of the patients were retrieved and recorded. Receiver operating characteristics (ROC) curve analysis was done to evaluate the diagnostic accuracy of hematological and biochemical parameters. Results: Total leukocyte count (TLC), absolute lymphocyte count (ALC), neutrophil to lymphocyte ratio (NLR), D-dimer, and serum ferritin had a significant relationship with severity among ICU patients (P<0.05). ALC, D-dimer, and serum ferritin can be used to predict the severity of COVID patients with area under the ROC-AUC curve values of 0.717, 0.725, and 0.710, respectively. Platelet to lymphocyte ratio, lymphocyte to monocyte ratio, and C-reactive protein were not useful to predict the severity of COVID illness. Conclusion: Hb concentration, TLC, NLR, D-dimer, and serum ferritin were significantly raised in critically ill COVID patients. ROC curve analysis showed that ALC, serum ferritin, and D-dimer were able to predict the severity of COVID illness effectively. Conclusively, these parameters can be used to track the prognosis of patients.

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“…As changes in blood biochemical parameters, such as CRP, LDH and D-dimer, have been associated with the severity of COVID-19 [ 32 ], we analyzed the expression of IFNλs and IFNγ in SARS-CoV-2-infected patients stratified in two groups: those who had one or two parameters with increased levels ( n = 15, group 1) and those who had enhanced levels of all three parameters ( n = 15, group 2). Only two patients had normal levels for the three parameters, while none showed decreased levels of CRP, LDH or D-dimer.…”

Section: Resultsmentioning

confidence: 99%

Alterations in the Expression of IFN Lambda, IFN Gamma and Toll-like Receptors in Severe COVID-19 Patients

et al. 2023

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Contradictory results have been reported regarding interferon (IFN) lambda (λ1–3) and IFN gamma (γ) production in COVID-19 patients. To gain insight into the roles played by these IFNs in SARS-CoV-2 infection, IFNλ1–3 and IFNγ mRNA expression was evaluated in peripheral blood mononuclear cells (PBMCs) (n = 32) and in cells of paired bronchoalveolar lavages (BALs) (n = 12). Lower IFNλ1–3 values (p < 0.001 for IFNλ1 and 3 and p = 0.013 for IFNλ2) in the PBMCs of severely ill patients were found compared to healthy donors (n = 15). Reduced levels of IFNγ were also detected in patients’ PBMCs (p < 0.01) and BALs (p = 0.041) compared to healthy donors. The presence of secondary bacterial infections was associated with decreased IFNλ amounts in PBMCs (p = 0.001, p = 0.015 and p = 0.003, respectively) but increased concentrations of IFNλ3 (p = 0.022) in BALs. Patients with alterations in C-reactive protein, lactate dehydrogenase and D-dimer levels had decreased IFNλ1 and 3 (p = 0.003 and p < 0.001) and increased IFNγ (p = 0.08) in PBMCs. Analyzing Toll-like receptors (TLRs) involved in IFN production, we found that TLR3 was highly expressed (p = 0.033) in patients with bacterial superinfections, while TLR7 and 8 (p = 0.029 and p = 0.049) were reduced in BALs of deceased patients. Overall, severe COVID-19 might be characterized by dysregulation in IFNγ, IFNλ and TLR3, 7 and 8 production.

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Roles of certain biochemical and hematological parameters in predicting mortality and ICU admission in COVID-19 patients

Cited by 11 publications

References 17 publications

Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients

Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients

Role of hematological parameters and biochemical markers as a predictor of severity of COVID-19 patients

Alterations in the Expression of IFN Lambda, IFN Gamma and Toll-like Receptors in Severe COVID-19 Patients

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