ABSTRACT
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.
Subject(s)
Blood Gas Analysis/methods , Acid-Base Equilibrium/physiology , Acid-Base Imbalance/diagnosis , Acidosis/blood , Adolescent , Adult , Aged , Algorithms , Alkalosis/blood , Alkalosis, Respiratory/diagnosis , Arterial Pressure/physiology , Child , Child, Preschool , Cross-Sectional Studies , Female , Humans , Hydrogen-Ion Concentration , Male , Middle Aged , Models, Theoretical , Point-of-Care Testing/trends , Predictive Value of Tests , Prevalence , Prospective Studies , Reproducibility of Results , Sensitivity and SpecificityABSTRACT
Microparticles are cell-derived, membrane-sheathed structures that are believed to shuttle proteins, mRNA, and miRNA to specific local or remote target cells. To date best described in blood, we now show that cerebrospinal fluid (CSF) contains similar structures that can deliver RNAs and proteins to target cells. These are, in particular, molecules associated with neuronal RNA granules and miRNAs known to regulate neuronal processes. Small RNA molecules constituted 50% of the shuttled ribonucleic acid. Using microarray analysis, we identified 81 mature miRNA molecules in CSF microparticles. Microparticles from brain injured patients were more abundant than in non-injured subjects and contained distinct genetic information suggesting that they play a role in the adaptive response to injury. Notably, miR-9 and miR-451 were differentially packed into CSF microparticles derived from patients versus non-injured subjects. We confirmed the transfer of genetic material from CSF microparticles to adult neuronal stem cells in vitro and a subsequent microRNA-specific repression of distinct genes. This first indication of a regulated transport of functional genetic material in human CSF may facilitate the diagnosis and analysis of cerebral modulation in an otherwise inaccessible organ.
Subject(s)
Brain Injuries/cerebrospinal fluid , Brain Injuries/metabolism , Cell-Derived Microparticles/metabolism , MicroRNAs/metabolism , Nerve Tissue Proteins/metabolism , RNA, Messenger/metabolism , Adult , Aged , Blotting, Western , Cell Line , Computational Biology , Female , Flow Cytometry , Gene Silencing , Glasgow Coma Scale , Humans , Immunohistochemistry , Male , Microscopy, Electron , Middle Aged , Polymerase Chain ReactionABSTRACT
We report on an unusual case of Idiopathic Intracranial Hypertension (IIH) in a woman of normal weight. Papilledema and increased intracranial pressure are symptoms of cerebral venous sinus thrombosis or idiopathic intrancranial hypertension. Because of the different treatment strategies, it is important to keep these two diseases separate. We show that the use of different imaging methods is an important tool in obtaining an effective diagnosis.
