Literature DB >> 35743447

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

Dieter Böning1, Wilhelm Bloch2, Wolfgang M Kuebler1.   

Abstract

Ceruti et al. describe in their article very low standard half saturation pressures (P50) in COVID-19 patients, calculated with the Dash et al. equations. By using the Hill equation and Severinghaus' coefficients we obtained normal values. The authors who do not present a pathophysiological cause for their results should explain this discrepancy. Independent of the absolute values a continuous moderate decrease of P50 in the surviving patients might be of clinical importance.

Entities:  

Keywords:  2,3-Biphosphoglycerate; Hill equation; P50; half saturation pressure; hemoglobin oxygen affinity

Year:  2022        PMID: 35743447      PMCID: PMC9225162          DOI: 10.3390/jcm11123376

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.964


Very recently Ceruti et al., published an interesting article about “Temporal Changes in the Oxyhemoglobin Dissociation Curve of Critically Ill COVID-19 Patients“ [1]. Similar to Vogel et al. in 2020 [2], they found a low standard half saturation pressure P50 in patients undergoing invasive mechanical ventilation which decreased more during the subsequent days in patients with a good prognosis. Surprisingly, however, their P50 values calculated with the Dash et al. equations [3] are unexpectedly low (around 20 mmHg, single values as low as 11.1 mmHg). Ceruti et al., present no convincing explanation as well as no comparison with healthy subjects. In many years of investigations, we have never seen such low values in human blood of adults with normal Hb A. Standard P50 for human red cells completely depleted of 2,3-Biphosphoglycerate (2,3-BPG) decreases to only 16 mmHg [4]. In Figure S2 (Supplementary Materials) [1], the authors compare the P50 calculated with the Hill equation according to Severinghaus [5] and with the Dash equations [3]. While the difference is small (maximally 2mm Hg) or even negligible above 16% saturation, the Dash values dramatically decrease at lower saturations. We cannot see any advantage of the Dash equations. Furthermore, Severinghaus‘ equations have been in use for decades, for comparison with previous investigations they are much more suitable. This caused us to recalculate the evaluation using the Hill equation [6] log SO According to general experience (e.g., [7]), the Hill coefficient n is rather constant during registration of an ODC in native blood (approximately 2.7). Therefore, it is possible to calculate a standard P50 from one pair of PO2 corrected to standard conditions (pH 7.4, Base excess 0 mequ/L, 37 °C) by the factors published by Severinghaus [5] and SO2. We applied this procedure to Ceruti‘s data in Table 1 for all patients (probably the means of initial values; unfortunately, the time of sampling is not communicated) and obtained an average P50 of 26.9 mmHg, very similar to Severinghaus‘ mean standard value 26.7 mmHg. For an assumed n = 3.0, P50 rises to 30.0, for 2.5, it decreases to 24.6 mmHg. We also evaluated the individual values for each patient in Table 2 and obtained 26.7 ± 1.9 SD mmHg. These values, ranging from 22.9 to 32.3 mmHg, are much higher than the published ones in Ceruti’s paper. Only 7 single values are lower than 25 mmHg. We also evaluated the data for the 25th and 75th percentile of SO2 in Table S1. These P50 are lower (23.0 and 22.5 mmHg) but still higher than the means in Ceruti‘s paper (20.6 at the beginning of the stay in the intense care unit, 18.7 mmHg at the end). Can Ceruti et al. explain the differences between their published values and our calculations? The calculation of P50 from arterial samples is not recommended because of the flattening of the curve which markedly increases the scattering of PO2 [8]. We have, therefore, additionally excluded samples with SO2 higher than 95%, but this did not change the mean standard P50. While the P50 values calculated by Ceruti et al. are obviously too low, the temporal decrease in their surviving patients may exist. The probably systematic error should be similar for all calculations during the stay in the intense care unit. Obviously, however, a control group of patients with other illnesses like in the paper of Vogel et al. [2] would have clarified the findings. Also unanswered is the question: What causes the left shift of the curve during the illness? Vogel et al. [2,9], too, have published low P50 in heavily ill COVID-19 patients by applying Hill`s equation and the usual correction according to Severinghaus [5] to their measurements. Others detected no significant changes, but a tendency for a left shift or a large unexplained scattering is visible (reviewed and discussed by us [10,11,12,13]). The causes are not known. We suggested, originally, a high concentration of Met-Hb, but this was not increased in Vogel’s as well as in Ceruti‘s patients. Perhaps the amount of 2,3-Biphosphoglycerate in the red cells decreases in COVID-19 patients, but there exists only one paper with measurements in not heavily ill patients [14]. Additionally, the results are not clear (only arbitrary units are communicated, these are higher than in the control patients). Both groups were slightly anemic which usually causes an increase in [2,3-BPG] with normal acid–base-status (reviewed in [11]). Finally, drugs used for treatment might cause P50 changes. Recently, Woyke et al. [15] demonstrated in in vitro experiments that nebulized epoprostenol (a potent vasodilatory prostaglandin) significantly decreased P50 by approximately 3 mmHg thereby increasing Hb-O2 affinity. As inhaled epoprostenol is also used for the treatment of COVID-19 (ClinicalTrials.gov Identifier: NCT04452669, accessed on 8 June 2022), it would be of interest to know whether patients in the study by Ceruti and colleagues were on epoprostenol treatment. Overall, it would be critical to learn from Dr. Ceruti and colleagues how they may explain the notable differences between their published values and our calculations, and we are looking forward to their response.
  14 in total

1.  Simple accurate mathematical models of blood HbO2 and HbCO2 dissociation curves at varied physiological conditions: evaluation and comparison with other models.

Authors:  Ranjan K Dash; Ben Korman; James B Bassingthwaighte
Journal:  Eur J Appl Physiol       Date:  2015-08-23       Impact factor: 3.078

2.  Effects of 2,3-diphosphoglycerate and other organic phosphate compounds on oxygen affinity and intracellular pH of human erythrocytes.

Authors:  J Duhm
Journal:  Pflugers Arch       Date:  1971       Impact factor: 3.657

Review 3.  Oxygen transport by hemoglobin.

Authors:  Heimo Mairbäurl; Roy E Weber
Journal:  Compr Physiol       Date:  2012-04       Impact factor: 9.090

4.  The impact of nebulized epoprostenol and iloprost on hemoglobin oxygen affinity: an ex vivo experiment.

Authors:  Simon Woyke; Norbert Mair; Thomas Haller; Marco Ronzani; David Plunser; Herbert Oberacher; Hannes Gatterer; Christopher Rugg; Mathias Ströhle
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2022-05-03       Impact factor: 6.011

5.  Reply to Gille et al.

Authors:  Dieter Böning; Wilhelm Bloch; Wolfgang M Kuebler
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2022-01-01       Impact factor: 5.464

6.  Absence of relevant clinical effects of SARS-COV-2 on the affinity of hemoglobin for O2 in patients with COVID-19.

Authors:  Sergi Pascual-Guàrdia; Antoni Ferrer; Óscar Díaz; Antonio O Caguana; Elvira Tejedor; Salomé Bellido-Calduch; Diego A Rodríguez-Chiaradia; Joaquim Gea
Journal:  Arch Bronconeumol       Date:  2021-10-23       Impact factor: 6.333

7.  Temporal Changes in the Oxyhemoglobin Dissociation Curve of Critically Ill COVID-19 Patients.

Authors:  Samuele Ceruti; Bruno Minotti; Andrea Glotta; Maira Biggiogero; Giovanni Bona; Martino Marzano; Pietro Greco; Marco Spagnoletti; Christian Garzoni; Karim Bendjelid
Journal:  J Clin Med       Date:  2022-01-31       Impact factor: 4.241

8.  Evidence of Structural Protein Damage and Membrane Lipid Remodeling in Red Blood Cells from COVID-19 Patients.

Authors:  Tiffany Thomas; Davide Stefanoni; Monika Dzieciatkowska; Aaron Issaian; Travis Nemkov; Ryan C Hill; Richard O Francis; Krystalyn E Hudson; Paul W Buehler; James C Zimring; Eldad A Hod; Kirk C Hansen; Steven L Spitalnik; Angelo D'Alessandro
Journal:  J Proteome Res       Date:  2020-10-26       Impact factor: 4.466

Review 9.  The oxygen dissociation curve of blood in COVID-19.

Authors:  Dieter Böning; Wolfgang M Kuebler; Wilhelm Bloch
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2021-05-12       Impact factor: 5.464

View more
  1 in total

1.  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".

Authors:  Samuele Ceruti; Bruno Minotti; Andrea Glotta; Maira Biggiogero; Giovanni Bona; Martino Marzano; Pietro Greco; Marco Spagnoletti; Christian Garzoni; Karim Bendjelid
Journal:  J Clin Med       Date:  2022-08-04       Impact factor: 4.964

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.