Interpretation of the impact parameter of acid-base status and electrolytes in blood gas analysis in the pulmonary system using artificial intelligence techniques

Author(s):  
E. Beganović ◽  
Z. Avdagić ◽  
S. Omanović
1985 ◽  
Vol 29 (2) ◽  
pp. 96
Author(s):  
U. B??RNER ◽  
H. M??LLER ◽  
R. H??GE ◽  
G. HEMPELMANN ◽  
U. B??rner ◽  
...  

2016 ◽  
Vol 4 (2) ◽  
pp. 92-95
Author(s):  
ASM Areef Ahsan ◽  
Mohammad Omar Faruq ◽  
Kaniz Fatema ◽  
Fatema Ahmed ◽  
Debasish Kumar Saha ◽  
...  

Objective: This study was aimed to compare between arterial and peripheral venous samples for blood gases and acid base status in critically ill patients and to evaluate if venous sample is a better alternative for initial assessment and resuscitation.Methods: This prospective study was conducted on 50 patients of more than 18 years of age in the department of Critical Care Medicine, BIRDEM General Hospital. Arterial and peripheral venous samples were taken within five minutes of each other and analyzed immediately for blood gases and acid base status. Mean difference and Pearson's product moment correlation coefficient was used to compare the result.Results: Mean difference and correlation coefficient between arterial and peripheral venous sample for pH, bicarbonate, base excess, PaCO2 and TCO2 value showed high correlation (r > 0.9). Comparison of electrolyte and hematocrit between arterial and peripheral venous sample also showed high correlation (r > 0.9).Conclusion: Peripheral venous gas analysis for pH, bicarbonate, base excess, PCO2 and Electrolytes (Na+, K+) show good correlation with the respective arterial values. This result suggests that venous estimations can be an acceptable alternative to arterial measurements for managing critically ill patients.Bangladesh Crit Care J September 2016; 4 (2): 92-95


1984 ◽  
Vol 28 (3) ◽  
pp. 277-279 ◽  
Author(s):  
U. Börner ◽  
H. Müller ◽  
R. Höge ◽  
G. Hempelmann

Author(s):  
Lukasz Krzych ◽  
Olga Wojnarowicz ◽  
Paweł Ignacy ◽  
Julia Dorniak

Introduction. Reliable results of an arterial blood gas (ABG) analysis are crucial for the implementation of appropriate diagnostics and therapy. We aimed to investigate the differences (Δ) between ABG parameters obtained from point-of-care testing (POCT) and central laboratory (CL) measurements, taking into account the turnaround time (TAT). Materials and methods. A number of 208 paired samples were collected from 54 intensive care unit (ICU) patients. Analyses were performed using Siemens RAPIDPoint 500 Blood Gas System on the samples just after blood retrieval at the ICU and after delivery to the CL. Results. The median TAT was 56 minutes (IQR 39-74). Differences were found for all ABG parameters. Median Δs for acid-base balance ere: ΔpH=0.006 (IQR –0.0070–0.0195), ΔBEef=–0.9 (IQR –2.0–0.4) and HCO3–act=–1.05 (IQR –2.25–0.35). For ventilatory parameters they were: ΔpO2=–8.3 mmHg (IQR –20.9–0.8) and ΔpCO2=–2.2 mmHg (IQR –4.2––0.4). For electrolytes balance the differences were: ΔNa+=1.55 mM/L (IQR 0.10–2.85), ΔK+=–0.120 mM/L (IQR –0.295–0.135) and ΔCl–=1.0 mM/L (IQR –1.0–3.0). Although the Δs might have caused misdiagnosis in 51 samples, Bland-Altman analysis revealed that only for pO2 the difference was of clinical significance (mean: –10.1 mmHg, ±1.96SD –58.5; +38.3). There was an important correlation between TAT and ΔpH (R=0.45, p<0.01) with the safest time delay for proper assessment being less than 39 minutes. Conclusions. Differences between POCT and CL results in ABG analysis may be clinically important and cause misdiagnosis, especially for pO2. POCT should be advised for ABG analysis due to the impact of TAT, which seems to be the most important for the analysis of pH.


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