scholarly journals Abnormal Arterial Blood Gas and Serum Lactate Levels Do Not Alter Disposition in Adult Blunt Trauma Patients after Early Computed Tomography

2013 ◽  
Vol 14 (3) ◽  
pp. 212-217 ◽  
Author(s):  
Taher Vohra ◽  
James Paxton
Keyword(s):  
Computed Tomography ◽  
Blunt Trauma ◽  
Serum Lactate ◽  
Trauma Patients ◽  
Blood Gas ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
Lactate Levels

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 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.

scholarly journals Correlation of arterial blood gas markers and lactate levels with outcomes in pediatric traumatic brain injury

2017 ◽  
Vol 26 (4) ◽  
pp. 246-252 ◽  
Author(s):  
Zhi Min Ng ◽  
Wei Jie Hong ◽  
Shu-Ling Chong ◽  
John C Allen ◽  
Lik Eng Loh ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Blood Gas ◽  
Pediatric Traumatic Brain Injury ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
Lactate Levels

scholarly journals Systematic prediction of mortality in trauma patients based on Arterial Blood Gas

2020 ◽  
Author(s):  
Zeinab Shayan ◽  
Mohammad Sabouri ◽  
Milad Shayan ◽  
Shahram Paydar
Keyword(s):  
Medical Center ◽  
Blood Gases ◽  
Trauma Patients ◽  
Blood Gas ◽  
Severe Injuries ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
Prediction Of Mortality ◽  
Death Probability ◽  
Dynamic Relationships

Context: An effort to predict the final condition of patients is one of the purposes of many studies; since it enables the treatment system to provide the necessary facilities in the best possible time and prevent wasting time and energy as well as increasing patient mortality. Research purpose: This study was purposed to investigate the correlation between arterial blood gas (ABG) and patient mortality and design a system to predict the final patients' condition. Method: In this study, a method has been proposed to identify dynamic systems to estimate the final condition of trauma patients and predict their death or survival probability during treatment or being confined in the medical center. The proposed method by using the information of patients' arterial blood gases identifies a linear model indicating the correlation between these gases and the patients' final condition. This method is based on system identification using ARX model simulated in MATLAB and its results are presented. Results: Data of 2802 patients (365 deaths and 2437 survivors) with an average age of 37.87 years old and GCS average of 9.27 including 470 female and 2332 male patients were studied. The designed structure was tested with 62.57% accuracy to be able to predict patient mortality. Therefore, it can be stated that the proposed method has a good accuracy in predicting the final patients' condition based on dynamic analysis. Discussion and Conclusion: It is unavoidable mortality due to accidents and severe injuries. Also, it is important to predict the death probability based on data from the early hours of the onset of trauma in patients; since it takes time to collect the data of patient's condition. Therefore, it is very important to find reliable methods to measure the patients' condition and predict the mortality. The study of these methods has always been considered by physicians due to its high importance. This study has almost been able to meet physicians' need by providing a method based on the study of dynamics and dynamic relationships discussing arterial and mortal blood gases.

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.

Atrial fibrillation associated with carbon monoxide poisoning

2019 ◽  
pp. 203-206
Author(s):  
Mevlut Demir ◽  
◽  
Muslum Sahin ◽  
Ahmet Korkmaz ◽  
◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Carbon Monoxide ◽  
Sinus Rhythm ◽  
Partial Pressure ◽  
Motor Vehicle ◽  
Carbon Monoxide Poisoning ◽  
Venous Blood ◽  
Blood Gas ◽  
Arterial Blood Gas ◽  
Arterial Blood

Carbon monoxide intoxication occurs usually via inhalation of carbon monoxide that is emitted as a result of a fire, furnace, space heater, generator, motor vehicle. A 37-year-old male patient was admitted to the emergency department at about 5:00 a.m., with complaints of nausea, vomiting and headache. He was accompanied by his wife and children. His venous blood gas measures were: pH was 7.29, partial pressure of carbon dioxide (pCO2) was 42 mmHg, partial pressure of oxygen (pO2) was 28 mmHg, carboxyhemoglobin (COHb) was 12.7% (reference interval: 0.5%-2.5%) and oxygen saturation was 52.4%. Electrocardiogram (ECG) examination showed that the patient was not in sinus rhythm but had atrial fibrillation. After three hours the laboratory examination was repeated: Troponin was 1.2 pg/ml and in the arterial blood gas COHb was 3%. The examination of the findings on the monitor showed that the sinus rhythm was re-established. The repeated ECG examination confirmed the conversion to the sinus rhythm. He was monitored with the normobaric oxygen administration.

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