Indicators of stress hematopoiesis in the blood predict COVID-19 progression in patients over 65 years old.

OBJECTIVES: Advanced age is a well-established risk factor for severe coronavirus disease 2019 (COVID-19). Exacerbated inflammation affects multiple organs, among which hematopoiesis responds by increased output of various cells. We aimed to determine the association between COVID-19 progression and large immature cell (LIC) counts, changes in erythrocyte and platelet distribution widths (RDW, PDW) with reference to patients' age. METHODS: A total of 755 patients with complete blood cell (CBC) analysis in the first 24 h of hospitalization were enrolled. Patients were divided into two groups: under and above 65 years of age. RESULTS: The LIC counts were different in both groups (p < 0.003). However, only the senior patients had markedly different values of RDW and PDW (p < 0.001). The receiver operating characteristic (ROC) curve analysis provided increased LIC (AUC = 0.600), RDW (AUC = 0.609), PDW (AUC = 0.556), and platelet to LIC ratio (AUC = 0.634) as significant in discriminating outcome in the older group. Importantly, these results were not repeated in the younger patients. In the elderly, the progression was predicted with LIC cut-off at ≥ 0.305 × 109/L (OR = 3.166) and RDW over 12.15% (OR = 2.081). DISCUSSION: Aging is characterized by a decline in immunological competence with a compromised control of inflammation leading to a proinflammatory state. This background together with the actions of pathogens may lead to emergency myelopoiesis. CONCLUSION: Our results point to the important differences between age groups regarding CBC-related parameters of stress hematopoiesis during severe infection. Higher LIC, RDW and PDW levels were reliable in the early identification of COVID-19 progression only in the elderly.

Plasma advanced oxidation products as an additional tool in assessment of post-infarction heart failure.

OBJECTIVE: To define which oxidative stress markers could be used as diagnostic tools in the assessment of post-infarction heart failure (HF). METHODS: This observational study enrolled patients with HF that were divided into three subgroups (ejection fraction [EF] ≥ 50%; EF 40-49%; EF < 40%) and age- and sex-matched healthy control subjects. The plasma concentrations of advanced oxidation protein products (AOPP), thiobarbituric acid reactive substances, catalase activity and free thiols were determined in all participants. RESULTS: The study enrolled 81 patients with HF and 68 healthy control subjects. There were significant differences in the values ​​of oxidative stress markers between patients and controls. Oxidative stress parameters did not differ between the subgroups of patients, except for AOPP, which was significantly higher in the EF < 40% group. Univariate and multivariate logistic regression analyses showed an association between AOPP and HF in the EF ≥ 50% group, while receiver operating characteristic (ROC) curve analysis identified a cut-off value of 60.89 µmol/l for AOPP. CONCLUSIONS: Based on the ROC curve analysis of AOPP and the higher significance in the multivariate analyses for patients with EF ≥ 50%, these current results suggest that AOPP could be a useful additional tool in the assessment of post-infarction HF.

Platelet-derived immuno-inflammatory indices show best performance in early prediction of COVID-19 progression.

BACKGROUND: Coronavirus disease 2019 (COVID-19) profoundly affects the immune and hematopoietic systems with various degrees of reactive changes in the blood cell counts. Immuno-inflammatory indices are considered a simple and effective tool in the prediction of COVID-19 outcomes. We aimed to evaluate and compare the usefulness of leukocyte and platelet counts-based immuno-inflammatory indices on admission to hospital in predicting COVID-19 progression and mortality. METHODS: A total of 945 patients were enrolled. In addition to blood cell counts, we assessed hemogram-derived immuno-inflammatory indices in relation to COVID-19 progression and death. The indices were tested by analysis of variance, receiver operating characteristic curve analysis, and binomial logistic regressions. RESULTS: Patients with severe COVID-19 had significantly higher counts of neutrophils, eosinophils, and large immature cells (LIC), while decreased counts of platelets and monocytes. Lymphopenia was found in all of the patients, but without significant association with the outcomes. Patients with a LIC count ≥0.265 x 09 /L had 54.7% more odds of having COVID-19 progression. In multivariable analyses, platelets/neutrophil-to-lymphocyte ratio (P/NLR) and platelets-to-neutrophil radio (P/N) were significant independent predictors of COVID-19 progression and mortality. The odds of a poor outcome were two times higher in cases with P/NLR < 43 x 109 /L and P/N < 29 x 109 /L. CONCLUSION: Indices that include platelet count in combination with neutrophil and/or lymphocyte counts displayed the best discriminatory ability and prognostic value of COVID-19 outcomes. Additionally, LIC showed promising results in the early identification of severe COVID-19.