Reply to Böning et al. Comment on “Ceruti et al. Temporal Changes in the Oxyhemoglobin Dissociation Curve of Critically Ill COVID-19 Patients. J. Clin. Med. 2022, 11, 788”

Ceruti, Samuele; Minotti, Bruno; Glotta, Andrea; Biggiogero, Maira; Bona, G; Marzano, Martino; Greco, Pietro; Spagnoletti, Marco; Garzoni, Christian; Bendjelid, Karim

doi:10.3390/jcm11154547

Cited by 4 publications

(4 citation statements)

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“…In their answer to our letter, Ceruti et al (50) conceded that the originally reported low P 50 values resulted from a calculation error and announced a revised paper. They communicated that at the end of the stay surviving patients presented a P 50 of 23.0 + 1.6 compared to 32.2 + 7.9 mmHg in deceased patients.…”

Section: New Publications On Hemoglobin Oxygen Affinity In Covid-19mentioning

confidence: 89%

“…Patients in whom oxygen affinity-and thus, oxygen loading in the lungs -increased over the hospital stay had a higher probability of survival (56). In the patients reported by Ceruti et al (50) the P 50 difference between surviving and deceased patients is dramatic: P 50 of 23.0 + 1.6 compared to 32.2 + 7.9 mmHg in the corrected version of their paper!…”

Section: P 50 Calculation From Single Arterial Samplesmentioning

confidence: 91%

“…In our initial review on the topic (3), four papers containing measurements of oxygen affinity were considered (27)(28)(29)(30). The techniques used in these for the determination of O 2 affinity were either the Hemox-Analyzer or calculation from single arterial or venous blood samples applying Severinghaus' equations to obtain the standard half saturation pressure P 50 .…”

Section: Summary Of Our First Reviewmentioning

confidence: 99%

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The oxygen dissociation curve of blood in COVID-19–An update

et al. 2023

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An impressive effect of the infection with SARS-Co-19 is the impairment of oxygen uptake due to lung injury. The reduced oxygen diffusion may potentially be counteracted by an increase in oxygen affinity of hemoglobin. However, hypoxia and anemia associated with COVID-19 usually decrease oxygen affinity due to a rise in [2,3-bisphosphoglycerate]. As such, COVID-19 related changes in the oxygen dissociation curve may be critical for oxygen uptake and supply, but are hard to predict. A Pubmed search lists 14 publications on oxygen affinity in COVID-19. While some investigations show no changes, three large studies found an increased affinity that was related to a good prognosis. Exact causes remain unknown. The cause of the associated anemia in COVID-19 is under discussion. Erythrocytes with structural alterations of membrane and cytoskeleton have been observed, and virus binding to Band 3 and also to ACE2 receptors in erythroblasts has been proposed. COVID-19 presentation is moderate in many subjects suffering from sickle cell disease. A possible explanation is that COVID-19 counteracts the unfavorable large right shift of the oxygen dissociation curve in these patients. Under discussion for therapy are mainly affinity-increasing drugs.

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Section: New Publications On Hemoglobin Oxygen Affinity In Covid-19mentioning

confidence: 89%

Section: P 50 Calculation From Single Arterial Samplesmentioning

confidence: 91%

Section: Summary Of Our First Reviewmentioning

confidence: 99%

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The oxygen dissociation curve of blood in COVID-19–An update

et al. 2023

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“…In clinical settings, however, Hb-O 2 affinity is routinely measured by the oxygen dissociation curve (ODC), a graphical representation of the relationship between oxygen saturation and oxygen partial pressure, where p50 (the oxygen tension when Hb is 50% saturated with oxygen) is used as the sole descriptor of Hb-O 2 affinity, usually calculated under standard conditions (pH: 7.4, PCO 2 : 40 mmHg, temperature: 37 °C) [ 36 , 41 , 182 , 183 ], i.e., in the “artificial normalization” of a potentially very abnormal blood-flow environment in a seriously ill patient, leading to the elimination of many influencing factors that can change the ODC unpredictably [ 43 ], thereby leading to conflicting results [ 184 , 185 ]. Another bottleneck in most previous investigations of Hb-O 2 affinity was that the concentration of 2,3-DPG in RBCs of patients with SARS-CoV-2 infection was not usually measured [ 41 ], and the concentrations of Hb, phosphate, age (aging red cells or patients), history of heart failure [ 39 ], or a fixed value of 2,3-DPG [ 186 , 187 ] were used as a sensitive index in predicting 2,3-DPG concentration. However, the steady-state concentration of 2,3-DPG in RBCs varies widely among patients with the same disease, and does not always correlate with P50, Hb concentration, or plasma phosphate [ 188 , 189 , 190 , 191 ].…”

Section: Potential Causes Of Discrepancies In Available Data and Chal...mentioning

confidence: 99%

Erythrocytes Functionality in SARS-CoV-2 Infection: Potential Link with Alzheimer’s Disease

Kosenko

Tikhonova

Alilova

et al. 2023

IJMS

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Coronavirus disease 2019 (COVID-19) is a rapidly spreading acute respiratory infection caused by SARS-CoV-2. The pathogenesis of the disease remains unclear. Recently, several hypotheses have emerged to explain the mechanism of interaction between SARS-CoV-2 and erythrocytes, and its negative effect on the oxygen-transport function that depends on erythrocyte metabolism, which is responsible for hemoglobin-oxygen affinity (Hb-O2 affinity). In clinical settings, the modulators of the Hb-O2 affinity are not currently measured to assess tissue oxygenation, thereby providing inadequate evaluation of erythrocyte dysfunction in the integrated oxygen-transport system. To discover more about hypoxemia/hypoxia in COVID-19 patients, this review highlights the need for further investigation of the relationship between biochemical aberrations in erythrocytes and oxygen-transport efficiency. Furthermore, patients with severe COVID-19 experience symptoms similar to Alzheimer’s, suggesting that their brains have been altered in ways that increase the likelihood of Alzheimer’s. Mindful of the partly assessed role of structural, metabolic abnormalities that underlie erythrocyte dysfunction in the pathophysiology of Alzheimer’s disease (AD), we further summarize the available data showing that COVID-19 neurocognitive impairments most probably share similar patterns with known mechanisms of brain dysfunctions in AD. Identification of parameters responsible for erythrocyte function that vary under SARS-CoV-2 may contribute to the search for additional components of progressive and irreversible failure in the integrated oxygen-transport system leading to tissue hypoperfusion. This is particularly relevant for the older generation who experience age-related disorders of erythrocyte metabolism and are prone to AD, and provide an opportunity for new personalized therapies to control this deadly infection.

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Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms

Luo,

Gao,

Yang

et al. 2024

Sci Rep

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The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a considerably higher risk of mortality than the general population. This study developed a predictive model for assessing mortality in COVID-19-affected CKD patients, providing personalized risk prediction to optimize clinical management and reduce mortality rates. We developed machine learning algorithms to analyze 219 patients’ clinical laboratory test data retrospectively. The performance of each model was assessed using a calibration curve, decision curve analysis, and receiver operating characteristic (ROC) curve. It was found that the LightGBM model showed the most satisfied performance, with an area under the ROC curve of 0.833, sensitivity of 0.952, and specificity of 0.714. Prealbumin, neutrophil percent, respiratory index in arterial blood, half-saturated pressure of oxygen, carbon dioxide in serum, glucose, neutrophil count, and uric acid were the top 8 significant variables in the prediction model. Validation by 46 patients demonstrated acceptable accuracy. This model can serve as a powerful tool for screening CKD patients at high risk of COVID-19-related mortality and providing decision support for clinical staff, enabling efficient allocation of resources, and facilitating timely and targeted management for those who need the relevant interference urgently. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-78498-w.

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Reply to Böning et al. Comment on “Ceruti et al. Temporal Changes in the Oxyhemoglobin Dissociation Curve of Critically Ill COVID-19 Patients. J. Clin. Med. 2022, 11, 788”

Abstract: We would like to thank Böning et al. for all the important issues raised in the present commentary [...]

Cited by 4 publications

References 8 publications

The oxygen dissociation curve of blood in COVID-19–An update

The oxygen dissociation curve of blood in COVID-19–An update

Erythrocytes Functionality in SARS-CoV-2 Infection: Potential Link with Alzheimer’s Disease

Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms

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