scholarly journals Comparison of base excess, lactate and pH predicting 72-h mortality of multiple trauma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Junfang Qi ◽  
Long Bao ◽  
Peng Yang ◽  
Du Chen
Keyword(s):  
Multiple Trauma ◽  
Predictive Value ◽  
Missing Values ◽  
Base Excess ◽  
Receiver Operating Curve ◽  
Trauma Patients ◽  
Blood Gas ◽  
Predictive Values ◽  
Arterial Blood Gas ◽  
Arterial Blood

Abstract Objective To compare the predictive values of base excess (BE), lactate and pH of admission arterial blood gas for 72-h mortality in patients with multiple trauma. Methods This was a secondary analysis based on a publicly shared trauma dataset from the Dryad database, which provided the clinical data of 3669 multiple trauma patients with ISS > = 16. The records of BE, lactate, pH and 72-h prognosis data without missing values were selected from this dataset and 2441 individuals were enrolled in the study. Logistic regression model was performed to calculate the odds ratios (ORs) of variables. Area under the curve (AUC) of receiver operating curve (ROC) was utilized to evaluate the predictive value of predictors for 72 h in-hospital mortality. Pairwise comparison of AUCs was performed using the Delong’s test. Results The statistically significant correlations were observed between BE and lactate (r = − 0.5861, p < 0.05), lactate and pH (r = − 0.5039, p < 0.05), and BE and pH (r = − 0.7433, p < 0.05). The adjusted ORs of BE, lactate and pH for 72-h mortality with the adjustment for factors including gender, age, ISS category were 0.872 (95%CI: 0.854–0.890), 1.353 (95%CI: 1.296–1.413) and 0.007 (95%CI: 0.003–0.016), respectively. The AUCs of BE, lactate and pH were 0.693 (95%CI: 0.675–0.712), 0.715 (95%CI: 0.697–0.733), 0.670 (95%CI: 0.651–0.689), respectively. Conclusions There are significant correlations between BE, lactate and pH of the admission blood gas, all of them are independent predictors of 72-h mortality for multiple trauma. Lactate may have the best predictive value, followed by BE, and finally pH.

Comparison of arterial and capillary blood gas values in poisoning department assessment

2009 ◽  
Vol 28 (10) ◽  
pp. 665-670 ◽  
Author(s):  
Nastaran Eizadi-Mood ◽  
Sam Alfred ◽  
Ahmad Yaraghi ◽  
Chanh Huynh ◽  
Ali Shayesteh Moghadam
Keyword(s):  
Emergency Department ◽  
Confidence Interval ◽  
Prospective Study ◽  
Base Excess ◽  
Vital Signs ◽  
Area Under The Curve ◽  
Capillary Blood ◽  
Blood Gas ◽  
Arterial Blood Gas ◽  
Arterial Blood

The aim of this study was to compare simultaneously obtained arterial and capillary blood gas (CBG) values in comatose-poisoned patients presented with stable vital signs. Forty-five adult patients with a diagnosis of coma because of poisoning and stable vital signs were included in this prospective study. With respect to pH, the arterial blood gas (ABG) and CBG values correlated satisfactorily (r2 = .91) and had an acceptable limit of agreements (LOAs; —0.04 to 0.06). With respect to base excess (BE), the ABG and CBG values correlated well (r2 = .85), but their 95% LOAs seem too wide to allow substitution (—4.4 to 2.7). PCO2 (r2 = .61), HCO3 (r2 = .71) and PO2 (r2 = .53) correlated less reliably. A capillary PCO2 of 51.7 mm Hg had a sensitivity of 100% and a specificity of 95.12% for detecting hypercarbia (area under the curve, 0.99; 95% Confidence Interval, 0.90-0.99; p < .0001). In conclusion, CBG analysis for pH may be a reliable substitute for ABG analysis in the initial evaluation of patients presenting with coma and stable vital signs to the poisoning emergency department (PED). Subsequent ABG may be required in patients with capillary PCO2 > 51.7 mm Hg.

scholarly journals Arterial Blood Gas Analysis: Selecting the Clinically Appropriate Option for Calculating Base Excess

2002 ◽  
Vol 39 (6) ◽  
pp. 614-615 ◽  
Author(s):  
Michael J Peake ◽  
Graham H White
Keyword(s):  
Base Excess ◽  
Extracellular Fluid ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Blood Gas ◽  
Acid Base ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
Arterial Blood Gas Analysis ◽  
Acid Base Disturbance

As part of arterial blood gas analysis, base excess is often reported as a measure of non-respiratory acid-base disturbance. Most blood gas analysers offer the option of calculating either the base excess of the blood sample or the base excess of the extracellular fluid (ECF). We report a case that illustrates that selecting the physiologically appropriate parameter avoids the potential for misinterpretation of acid-base data. We recommend that the base excess of the ECF is the appropriate metabolic blood gas parameter for clinical use.

PREDICTION OF ARTERIAL BLOOD GAS BY TRANSCUTANEOUS O2 AND CO2 IN CRITICALLY ILL HYPERDYNAMIC TRAUMA PATIENTS

1986 ◽  
Vol 26 (7) ◽  
pp. 684
Author(s):  
Curtis D. Stokes ◽  
Steve Blevins ◽  
Joan C. Stoklosa ◽  
Kathleen Cotter ◽  
Kim C. Goh ◽  
...  
Keyword(s):  
Critically Ill ◽  
Trauma Patients ◽  
Blood Gas ◽  
Arterial Blood Gas ◽  
Arterial Blood

scholarly journals Automatic real-time analysis and interpretation of arterial blood gas sample for Point-of-care testing: Clinical validation

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248264
Author(s):  
Sancho Rodríguez-Villar ◽  
Paloma Poza-Hernández ◽  
Sascha Freigang ◽  
Idoia Zubizarreta-Ormazabal ◽  
Daniel Paz-Martín ◽  
...  
Keyword(s):  
Metabolic Acidosis ◽  
Metabolic Alkalosis ◽  
Point Of Care ◽  
Respiratory Acidosis ◽  
Blood Gas ◽  
Acid Base ◽  
Predictive Values ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
Global Accuracy

Background Point-of-care arterial blood gas (ABG) is a blood measurement test and a useful diagnostic tool that assists with treatment and therefore improves clinical outcomes. However, numerically reported test results make rapid interpretation difficult or open to interpretation. The arterial blood gas algorithm (ABG-a) is a new digital diagnostics solution that can provide clinicians with real-time interpretation of preliminary data on safety features, oxygenation, acid-base disturbances and renal profile. The main aim of this study was to clinically validate the algorithm against senior experienced clinicians, for acid-base interpretation, in a clinical context. Methods We conducted a prospective international multicentre observational cross-sectional study. 346 sample sets and 64 inpatients eligible for ABG met strict sampling criteria. Agreement was evaluated using Cohen’s kappa index, diagnostic accuracy was evaluated with sensitivity, specificity, efficiency or global accuracy and positive predictive values (PPV) and negative predictive values (NPV) for the prevalence in the study population. Results The concordance rates between the interpretations of the clinicians and the ABG-a for acid-base disorders were an observed global agreement of 84,3% with a Cohen’s kappa coefficient 0.81; 95% CI 0.77 to 0.86; p < 0.001. For detecting accuracy normal acid-base status the algorithm has a sensitivity of 90.0% (95% CI 79.9 to 95.3), a specificity 97.2% (95% CI 94.5 to 98.6) and a global accuracy of 95.9% (95% CI 93.3 to 97.6). For the four simple acid-base disorders, respiratory alkalosis: sensitivity of 91.2 (77.0 to 97.0), a specificity 100.0 (98.8 to 100.0) and global accuracy of 99.1 (97.5 to 99.7); respiratory acidosis: sensitivity of 61.1 (38.6 to 79.7), a specificity of 100.0 (98.8 to 100.0) and global accuracy of 98.0 (95.9 to 99.0); metabolic acidosis: sensitivity of 75.8 (59.0 to 87.2), a specificity of 99.7 (98.2 to 99.9) and a global accuracy of 97.4 (95.1 to 98.6); metabolic alkalosis sensitivity of 72.2 (56.0 to 84.2), a specificity of 95.5 (92.5 to 97.3) and a global accuracy of 93.0 (88.8 to 95.3); the four complex acid-base disorders, respiratory and metabolic alkalosis, respiratory and metabolic acidosis, respiratory alkalosis and metabolic acidosis, respiratory acidosis and metabolic alkalosis, the sensitivity, specificity and global accuracy was also high. For normal acid-base status the algorithm has PPV 87.1 (95% CI 76.6 to 93.3) %, and NPV 97.9 (95% CI 95.4 to 99.0) for a prevalence of 17.4 (95% CI 13.8 to 21.8). For the four-simple acid-base disorders and the four complex acid-base disorders the PPV and NPV were also statistically significant. Conclusions The ABG-a showed very high agreement and diagnostic accuracy with experienced senior clinicians in the acid-base disorders in a clinical context. The method also provides refinement and deep complex analysis at the point-of-care that a clinician could have at the bedside on a day-to-day basis. The ABG-a method could also have the potential to reduce human errors by checking for imminent life-threatening situations, analysing the internal consistency of the results, the oxygenation and renal status of the patient.

scholarly journals Incidence of hyperoxia in trauma patients receiving pre-hospital emergency anaesthesia: results of a 5-year retrospective analysis

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
P. Leitch ◽  
A. L. Hudson ◽  
J. E. Griggs ◽  
R. Stolmeijer ◽  
R. M. Lyon ◽  
...  
Keyword(s):  
Major Trauma ◽  
Hospital Setting ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Trauma Patients ◽  
Blood Gas ◽  
Hospital Emergency ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
Arterial Blood Gas Analysis

Abstract Background Previous studies have demonstrated an association between hyperoxia and increased mortality in various patient groups. Critically unwell and injured patients are routinely given high concentration oxygen in the pre-hospital phase of care. We aim to investigate the incidence of hyperoxia in major trauma patients receiving pre-hospital emergency anesthesia (PHEA) in the pre-hospital setting and determine factors that may help guide clinicians with pre-hospital oxygen administration in these patients. Methods A retrospective cohort study was performed of all patients who received PHEA by a single helicopter emergency medical service (HEMS) between 1 October 2014 and 1 May 2019 and who were subsequently transferred to one major trauma centre (MTC). Patient and treatment factors were collected from the electronic patient records of the HEMS service and the MTC. Hyperoxia was defined as a PaO2 > 16 kPA on the first arterial blood gas analysis upon arrival in the MTC. Results On arrival in the MTC, the majority of the patients (90/147, 61.2%) had severe hyperoxia, whereas 30 patients (20.4%) had mild hyperoxia and 26 patients (19.7%) had normoxia. Only 1 patient (0.7%) had hypoxia. The median PaO2 on the first arterial blood gas analysis (ABGA) after HEMS handover was 36.7 [IQR 18.5–52.2] kPa, with a range of 7.0–86.0 kPa. SpO2 pulse oximetry readings before handover were independently associated with the presence of hyperoxia. An SpO2 ≥ 97% was associated with a significantly increased odds of hyperoxia (OR 3.99 [1.58–10.08]), and had a sensitivity of 86.7% [79.1–92.4], a specificity of 37.9% [20.7–57.8], a positive predictive value of 84.5% [70.2–87.9] and a negative predictive value of 42.3% [27.4–58.7] for the presence of hyperoxemia. Conclusion Trauma patients who have undergone PHEA often have profound hyperoxemia upon arrival at hospital. In the pre-hospital setting, where arterial blood gas analysis is not readily available a titrated approach to oxygen therapy should be considered to reduce the incidence of potentially harmful tissue hyperoxia.

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