scholarly journals The point-of-care testing in the emergency department

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Paolo Carraro
Keyword(s):  
Emergency Department ◽  
Response Time ◽  
Emergency Room ◽  
Patient Care ◽  
Point Of Care ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Blood Gas ◽  
Point Of Care Testing ◽  
Rapid Methods

The decentralization of analysis at the emergency room is a well-established practice, in particular for the use of blood gas analysis. Recently, many other analyzers have been proposed, with rapid methods that can potentially reduce the response time of the tests. Here we consider the various analyzers that can be used at the bedside, their advantages and limits, the related scientific evidences. Finally, we discuss their impact both on patient care and on accelerating the patient’s flow in the emergency room.

Cost: Benefit of Point-of-Care Blood Gas Analysis vs. Laboratory Measurement During Stabilization Prior to Transport

2003 ◽  
Vol 18 (1) ◽  
pp. 24-28 ◽  
Author(s):  
Andrew J Macnab ◽  
Greg Grant ◽  
Kyle Stevens ◽  
Faith Gagnon ◽  
Robert Noble ◽  
...  
Keyword(s):  
Waiting Time ◽  
Point Of Care ◽  
Unit Cost ◽  
Cost Benefit ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Blood Gas ◽  
Point Of Care Testing ◽  
Cost Efficacy ◽  
The Cost

AbstractIntroduction:This study was conducted to determine whether point-of-care testing, using the iSTAT Portable Clinical Analyzer, would reduce time at the referring hospital required to stabilize ventilated pediatric patients prior to interfacility, air-medical transport.Methods:The following data were collected prospectively: (1) When a blood gas analysis was ordered; (2) If it was necessary to call in a technician; (3) Waiting time for blood to be drawn; and (4) Waiting time for results. The cost-efficacy of point-of-care testing was calculated based on: (1) Three minutes for a transport team member to draw a sample and obtain a result using the iSTAT (unit cost $CDN8,000); (2) Lab technician call-back (minimum two hours at $90); (3) Paramedic overtime (by the minute at $49/hour); and (4) Cost of charter aircraft wait time ($200 per hour) for every hour beyond four hours.Results:Data were collected on 46 ventilated patients over a three month period. A blood gas analysis was ordered on 35 patients. Laboratory technicians were called in for 17 (49%). For 12 (34%) patients, there was a wait for the sample to be drawn, and for 23 (66%), there was a wait for results to become available. Total time waiting to obtain laboratory gases was 526 minutes compared with a calculated 105 minutes using point-of-care testing. An iSTAT cartridge cost of $420 would not have been different from laboratory costs. Cost-saving on technician callback ($1,530), paramedic overtime ($690) and aircraft time waiting charges ($2,000) would have totaled ($4,220). From this study, the cost of point-of-care equipment could be recouped in 101 patients if aircraft charges apply or 192 patients if no aircraft costs are involved. For 11 cases, ventilator adjustments were made subsequently during transport, and for six patients, point-of-care testing, if in place, would have been used to optimize transport care.Conclusion:The data from the present study indicate significant cost-efficacy from use of this technology to reduce stabilization times, and support the potential to improve quality of care during air medical interfacility transport.

scholarly journals Clinical, Operative, and Economic Outcomes of the Point-of-Care Blood Gases in the Nephrology Department of a Third-Level Hospital

2020 ◽  
Vol 144 (10) ◽  
pp. 1209-1216
Author(s):  
Ana Laila Qasem Moreno ◽  
Paloma Oliver Sáez ◽  
Pilar Fernández Calle ◽  
Gloria del Peso Gilsanz ◽  
Sara Afonso Ramos ◽  
...  
Keyword(s):  
Point Of Care ◽  
Blood Gas Analysis ◽  
Turnaround Time ◽  
Gas Analysis ◽  
Economic Outcomes ◽  
Blood Gas ◽  
Point Of Care Testing ◽  
Total Cost ◽  
Elapsed Time ◽  
The Impact

Context.— Point-of-care testing allows rapid analysis and short turnaround times. To the best of our knowledge, the present study assesses, for the first time, clinical, operative, and economic outcomes of point-of-care blood gas analysis in a nephrology department. Objective.— To evaluate the impact after implementing blood gas analysis in the nephrology department, considering clinical (differences in blood gas analysis results, critical results), operative (turnaround time, elapsed time between consecutive blood gas analysis, preanalytical errors), and economic (total cost per process) outcomes. Design.— A total amount of 3195 venous blood gas analyses from 688 patients of the nephrology department before and after point-of-care blood gas analyzer installation were included. Blood gas analysis results obtained by ABL90 FLEX PLUS were acquired from the laboratory information system. Statistical analyses were performed using SAS 9.3 software. Results.— During the point-of-care testing period, there was an increase in blood glucose levels and a decrease in pCO2, lactate, and sodium as well as fewer critical values (especially glucose and lactate). The turnaround time and the mean elapsed time were shorter. By the beginning of this period, the number of preanalytical errors increased; however, no statistically significant differences were found during year-long monitoring. Although there was an increase in the total number of blood gas analysis requests, the total cost per process decreased. Conclusions.— The implementation of a point-of-care blood gas analysis in a nephrology department has a positive impact on clinical, operative, and economic terms of patient care.

StatPal II pH and Blood Gas Analysis System evaluated

1994 ◽  
Vol 40 (1) ◽  
pp. 124-129 ◽  
Author(s):  
R J Wong ◽  
J J Mahoney ◽  
J A Harvey ◽  
A L Van Kessel
Keyword(s):  
Point Of Care ◽  
Blood Gases ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Portable Instrument ◽  
Blood Gas ◽  
Target Value ◽  
Analysis System

Abstract We evaluated a new portable instrument, the PPG StatPal II pH and Blood Gas Analysis System, designed for "point-of-care" measurements of blood gases and pH. Inaccuracy (% of target value) and imprecision (CV%) were assessed by blood tonometry and comparison with a Corning 178. Within-day results for PCO2 inaccuracy and imprecision ranged from 98.2% to 102.9% and 3.3% to 3.9%, respectively; for PO2, these were 95.5% to 102.3% and 2.3% to 3.0%, respectively. Between-day results for PCO2 inaccuracy and imprecision ranged from 99.2% to 99.3% and from 2.9% to 3.2%, respectively; for PO2, the ranges were 96.2% to 98.2% and 2.6% to 3.0%, respectively. Two PCO2 outliers (in 645 samples = 0.3%) were observed. In general, tonometry recovery, measurement stability, and pH bias results for the StatPal II and Corning 178 were comparable. We conclude that the StatPal II performs within acceptable ranges of inaccuracy and imprecision.

scholarly journals Be cautious during the interpretation of arterial blood gas analysis performed outside the intensive care unit

2020 ◽  
Author(s):  
Lukasz Krzych ◽  
Olga Wojnarowicz ◽  
Paweł Ignacy ◽  
Julia Dorniak
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Point Of Care ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Blood Gas ◽  
Acid Base Balance ◽  
Arterial Blood Gas ◽  
Arterial Blood ◽  
The Impact

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.

scholarly journals A paradigmatic case of haemolysis and pseudohyperkalemia in blood gas analysis

2018 ◽  
Vol 29 (1) ◽  
pp. 169-172
Author(s):  
Gian Luca Salvagno ◽  
Davide Demonte ◽  
Giuseppe Lippi
Keyword(s):  
Reference Range ◽  
Point Of Care ◽  
Venous Blood ◽  
Blood Gas Analysis ◽  
Plasma Potassium ◽  
Gas Analysis ◽  
Blood Gas ◽  
High Potassium ◽  
Plastic Tube ◽  
History Of

A 51-year old male patient was admitted to the hospital with acute dyspnea and history of chronic asthma. Venous blood was drawn into a 3.0 mL heparinized syringe and delivered to the laboratory for blood gas analysis (GEM Premier 4000, Instrumentation Laboratory), which revealed high potassium value (5.2 mmol/L; reference range on whole blood, 3.5-4.5 mmol/L). This result was unexpected, so that a second venous blood sample was immediately drawn by direct venipuncture into a 3.5 mL lithium-heparin blood tube, and delivered to the laboratory for repeating potassium testing on Cobas 8000 (Roche Diagnostics). The analysis revealed normal plasma potassium (4.6 mmol/L; reference range in plasma, 3.5-5.0 mmol/L) and haemolysis index (5; 0.05 g/L). Due to suspicion of spurious haemolysis, heparinized blood was transferred from syringe into a plastic tube and centrifuged. Potassium and haemolysis index were then measured in this heparinized plasma, confirming high haemolysis index (50; 0.5 g/L) and pseudohyperkalemia (5.5 mmol/L). Investigation of this case revealed that spurious haemolysis was attributable to syringe delivery in direct ice contact for ~15 min. This case emphasizes the importance of avoiding sample transportation in ice and the need of developing point of care analysers equipped with interference indices assessment.

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