Role of methemoglobin and carboxyhemoglobin levels in predicting COVID-19 prognosis: an observational study

Öktem, Begüm; Üzer, Fatih; Güven, Fatma Mutlu Kukul; Kırhan, İdris; Topal, Mehmet

doi:10.4103/2045-9912.304224

Cited by 6 publications

(1 citation statement)

References 23 publications

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“…Although it was emphasized in one study that “methemoglobin” and “carboxyhemoglobin” levels may be associated with the severity of sepsis, these levels were not associated with the prognosis of COVID-19. 20 In another study, it was stated that carboxyhemoglobin alone cannot be used to diagnose pneumonia of COVID-19 or to predict disease severity. 21 In another study, low methemoglobin and carboxyhemoglobin values were observed at the beginning of the disease, and it was stated that these values were expected to increase with the progression of the disease.…”

Section: Discussionmentioning

confidence: 99%

Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study

Huyut

Üstündağ

2022

Med Gas Res

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Section: Discussionmentioning

confidence: 99%

Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study

Huyut

Üstündağ

2022

Med Gas Res

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Interaction thermodynamics of human hemoglobin with environmental and toxic gases: A density functional theory study

Abdulsattar

Almaroof

Jabbar

2021

J. Phys.: Conf. Ser.

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The interaction of human hemoglobin with environmental and other gases and molecules is investigated using density functional theory. The investigation includes gases and molecules such as O2, N2, Ar, CO2, H2O, CO, and Cl2. Thermodynamic quantities usually include Gibbs free energy, enthalpy, and entropy. These thermodynamic quantities can be used to distinguish how much strong these molecules are bonded to hemoglobin. The interaction with the two different heme molecules, singlet and triplet states, is shown. Results show that the bonding strength differs greatly between these gases. Most of the investigated molecules remain at their monoatomic, diatomic, or triatomic structure except for O2 and Cl2 that may dissociate into two atoms attached to hemoglobin. The Gibbs free energy of interaction of these atoms and molecules reveals the toxicity of some of these gases, such as CO and Cl2.

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Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis

et al. 2023

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Background As the COVID-19 pandemic strains healthcare systems worldwide, finding predictive markers of severe courses remains urgent. Most research so far was limited to selective questions hindering general assumptions for short- and long-term outcome. Methods In this prospective single-center biomarker study, 47 blood- and 21 bronchoalveolar lavage (BAL) samples were collected from 47 COVID-19 intensive care unit (ICU) patients upon admission. Expression of inflammatory markers toll-like receptor 3 (TLR3), heme oxygenase-1 (HO-1), interleukin (IL)-6, IL-8, leukocyte counts, procalcitonin (PCT) and carboxyhemoglobin (CO-Hb) was compared to clinical course. Clinical assessment comprised acute local organ damage, acute systemic damage, mortality and outcome after 6 months. Results PCT correlated with acute systemic damage and was the best predictor for quality of life (QoL) after 6 months (r = − 0.4647, p = 0.0338). Systemic TLR3 negatively correlated with impaired lung function (ECMO/ECLS: r = − 0.3810, p = 0.0107) and neurological short- (RASS mean: r = 0.4474, p = 0.0023) and long-term outcome (mRS after 6 m: r = − 0.3184, p = 0.0352). Systemic IL-8 correlated with impaired lung function (ECMO/ECLS: r = 0.3784, p = 0.0161) and neurological involvement (RASS mean: r = − 0.5132, p = 0.0007). IL-6 in BAL correlated better to the clinical course than systemic IL-6. Using three multivariate regression models, we describe prediction models for local and systemic damage as well as QoL. CO-Hb mean and max were associated with higher mortality. Conclusions Our predictive models using the combination of Charlson Comorbidity Index, sex, procalcitonin, systemic TLR3 expression and IL-6 and IL-8 in BAL were able to describe a broad range of clinically relevant outcomes in patients with severe COVID-19-associated ARDS. Using these models might proof useful in risk stratification and predicting disease course in the future. Trial registration The trial was registered with the German Clinical Trials Register (Trial-ID DRKS00021522, registered 22/04/2020).

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Role of methemoglobin and carboxyhemoglobin levels in predicting COVID-19 prognosis: an observational study

Cited by 6 publications

References 23 publications

Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study

Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study

Interaction thermodynamics of human hemoglobin with environmental and toxic gases: A density functional theory study

Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis

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