Impact of blood glucose on blood lactate levels in a medical ICU: a retrospective cohort study

Adelsmayr, Gabriel; Brunner, Richard; Holzinger, Ulrike

doi:10.1186/cc10772

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…Multivariable logistic regression that incorporated the factors that were significant in the univariate analysis identified age, maximal blood glucose level, and a pathological diagnosis of glioma, as factors significantly associated with maximal lactate levels. Our findings concur with the association reported of blood glucose with blood lactate in critically ill patients, independent of the severity of illness [21].…”

Section: Discussionsupporting

confidence: 93%

Hyperlactatemia in children following brain tumor resection: prevalence, associated factors, and clinical significance

et al. 2021

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Purpose Hyperlactatemia is associated with worse outcome among critically ill patients. The prevalence of hyperlactatemia in children following craniotomy for intracranial tumor resection is unknown. This study was designed to assess the prevalence, associated factors, and significance of postoperative hyperlactatemia in this context. Methods A retrospective study was conducted at an intensive care unit of a tertiary, pediatric medical center. Children younger than 18 years admitted following craniotomy for brain tumor resection between October 2004 and November 2019 were included. Results Overall, 222 elective craniotomies performed in 178 patients were analyzed. The mean age ± SD was 8.5 ± 5.5 years. All but two patients survived to discharge. All were hemodynamically stable. Early hyperlactatemia, defined as at least one blood lactate level ≥ 2.0 mmol/L during the first 24 h into admission, presented following 74% of the craniotomies; lactate normalized within a mean ± SD of 11 ± 6.1 h. The fluid balance per body weight at 12 h and 24 h into the intensive care unit admission was similar in children with and without hyperlactatemia [7.0 ± 17.6 vs 3.5 ± 16.4 ml/kg, p = 0.23 and 4.0 ± 27.2 vs 4.6 ± 29.4 ml/kg, p = 0.96; respectively]. Hyperlactatemia was associated with higher maximal blood glucose, older age, and a pathological diagnosis of glioma. Intensive care unit length of stay was similar following craniotomies with and without hyperlactatemia (p = 0.57). Conclusions Hyperlactatemia was common in children following craniotomy for brain tumor resection. It was not associated with hemodynamic impairment or with a longer length of stay.

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Section: Discussionsupporting

confidence: 93%

Hyperlactatemia in children following brain tumor resection: prevalence, associated factors, and clinical significance

et al. 2021

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“…1,4 Adelsmayr et al highlight a significant impact of blood glucose levels and blood glucose variability on the subsequent lactate elevations in their retrospective analysis of 1,170 intensive care unit patients. 5 The association described in their study is supported by a multivariate regression analysis, adjusting for the severity of the involved illness. They reveal a U-shaped relationship between the blood glucose and the lactate levels with minimal affect on the lactate levels in the glucose range of 80-120 mg/dL.…”

Section: To the Editormentioning

confidence: 73%

“…They reveal a U-shaped relationship between the blood glucose and the lactate levels with minimal affect on the lactate levels in the glucose range of 80-120 mg/dL. 5 With particular emphasis on the circulatory arrest states utilized in the cardiac surgical practice, He et al outlined significantly higher blood glucose levels attributable to the conduct of deep hypothermic arrest with description of a positive correlation between the perioperative blood glucose and the lactate levels. 6 The time intervals of glucose-lactate evaluation in the He et al study were similar to those used in the Nasr et al study.…”

Section: To the Editormentioning

confidence: 99%

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Predicting Lactate Elevation in Neonatal Cardiac Surgery: Can the Sugars be Overlooked?

Magoon

Kaushal

Jose

et al. 2021

Journal of Cardiothoracic and Vascular Anesthesia

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…Excess consumption of alcohol also leads to alcohol ketoacidosis which is potentially fatal in starved conditions. Studies also reveal a relation between blood glucose and blood lactate levels wherein incidence of type 2 diabetes is associated with high plasma lactate levels [18]. This condition is known as lactate acidosis which is related to increased lactate production in diabetic individuals causing a pH imbalance in the body [19].…”

Section: Introductionmentioning

confidence: 99%

Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection

et al. 2019

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Simultaneous detection of correlated multi-biomarkers on a single low-cost platform in ultra-low fluid volumes with robustness is in growing demand for the development of wearable diagnostics. A non-faradaic biosensor for the simultaneous detection of alcohol, glucose, and lactate utilizing low volumes (1–5 μL) of sweat is demonstrated. Biosensing is implemented using nanotextured ZnO films integrated on a flexible porous membrane to achieve enhanced sensor performance. The ZnO sensing region is functionalized with enzymes specific for the detection of alcohol, glucose, and lactate in the ranges encompassing their physiologically relevant levels. A non-faradaic chronoamperometry technique is used to measure the current changes associated with interactions of the target biomarkers with their specific enzyme. The specificity performance of the biosensing platform was established in the presence of cortisol as the non-specific molecule. Biosensing performance of the platform in a continuous mode performed over a 1.5-h duration showed a stable current response to cumulative lifestyle biomarker concentrations with capability to distinguish reliably between low, mid, and high concentration ranges of alcohol (0.1, 25, 100 mg/dL), glucose (0.1, 10, 50 mg/dL), and lactate (1, 50, 100 mM). The low detection limits and a broader dynamic range for the lifestyle biomarker detection are quantified in this research demonstrating its suitability for translation into a wearable device.

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Impact of blood glucose on blood lactate levels in a medical ICU: a retrospective cohort study

Cited by 9 publications

References 3 publications

Hyperlactatemia in children following brain tumor resection: prevalence, associated factors, and clinical significance

Hyperlactatemia in children following brain tumor resection: prevalence, associated factors, and clinical significance

Predicting Lactate Elevation in Neonatal Cardiac Surgery: Can the Sugars be Overlooked?

Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection

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