Evaluation of the i-STAT point-of-care capillary whole blood hematocrit and hemoglobin: Comparison to the Siemens RAPIDLab 1200, Sysmex XE5000, and manual spun hematocrit

Rudolf, Joseph W; Douglass, Joseph H.; Baron, Jason M.; Lewandrowski, Kent

doi:10.1016/j.cca.2015.03.035

Cited by 14 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…haemoglobin (g/dL) = haematocrit ( % ) × 0 .34, which was shown to be well correlated with the reference methods over a broad range of values between 6 and 16 g/dL …”

Section: Methodsmentioning

confidence: 72%

Daily home monitoring of potassium, creatinine, and estimated plasma volume in heart failure post‐discharge

et al. 2020

View full text Add to dashboard Cite

Aims Congestive status, serum potassium, and renal function are major determinants of outcomes as well as critical elements for adjusting drug therapy in heart failure (HF) patients. This study aimed at describing the daily variations in estimated plasma volume (ePV, a surrogate of congestion computed from haemoglobin and haematocrit), blood potassium, and estimated glomerular filtration rate during 2 months post-hospitalization for decompensated HF with reduced ejection fraction. Methods and resultsThe study was conducted in a single tertiary referral centre. Capillary blood samples were drawn by study nurses at home (7-12 am), and haematocrit, blood haemoglobin, creatinine, and potassium were measured using an approved home-based device (ABOTT i-STAT) (ClinicalTrials.gov: NCT01655134). Among the 15 home-monitored patients, two patients died (one suddenly), and one was readmitted for ischaemic acute pulmonary oedema, with a subsequent acute coronary syndrome, and did not have a complete 2-month follow-up. The 5-day-a-week biological home monitoring revealed an ePV >5.5 mL/g Hb, suggestive of undiagnosed residual congestion at discharge in 3 out the 15 patients. It was possible to document a number of episodes of hyperkalaemia (>5: mean ± standard deviation: 2.2 ± 2.2 or 5.5: 1.7 ± 1.6 mmol/L), hypokalaemia (<4: 1.9 ± 2.4 or 3.5: 0.5 ± 1.2 mmol/L), worsening renal function (drop in estimated glomerular filtration rate-20%: 1.3 ± 1.8 or 30%: 0.7 ± 1.2) and recongestion (ePV rise above 10%: 1.4 ± 1.5, 15%: 2.3 ± 2.4, 5.5 mL/g Hb: 1.8 ± 2.6) episodes indicative of clinically relevant and potentially actionable cardiorenal and electrolytic patterns. Conclusions Our findings demonstrate that a 5-day-a-week home monitoring combining haemoglobin/haematocrit, potassium, and creatinine measurements was able to capture a substantial number of clinically relevant cardiorenal and electrolyte events which are frequently overlooked and potentially actionable. Whether acting on these events may help optimizing renin angiotensin aldosterone system inhibitors and diuretic therapy warrants further dedicated testing. The ongoing HERMES HF study (NCT04050904) is assessing the short-term feasibility and safety of such a monitoring strategy, complemented by a decision support system, and generating recommendations based on ESC clinical guidelines in patients discharged after an episode of worsening heart failure with reduced ejection fraction.

show abstract

“…haemoglobin (g/dL) = haematocrit ( % ) × 0 .34, which was shown to be well correlated with the reference methods over a broad range of values between 6 and 16 g/dL …”

Section: Methodsmentioning

confidence: 72%

Daily home monitoring of potassium, creatinine, and estimated plasma volume in heart failure post‐discharge

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Venous blood was centrifuged, and the red blood cells were mixed with 100% plasma at the appropriate concentration. In this way, the hematocrit was obtained, and the hemoglobin concentration was calculated by dividing the hematocrit by three [ 31 , 32 ]. The blood samples used had hemoglobin concentrations of 0, 3.3, 7, 11, 14.3, 16, and 21.3 g/dL and were cross-validated with a reference instrument.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, the hemoglobin concentration is calculated by dividing the hematocrit by conversion ratio as shown in Equation (6) [ 31 , 32 ]. Hb (g/dL) = Hct (%)/conversion ratio …”

Section: Anemia Diagnostic System Based On Impedance Measurementmentioning

confidence: 99%

Anemia Diagnostic System Based on Impedance Measurement of Red Blood Cells

Cho

Lee

Baek

2021

Sensors

View full text Add to dashboard Cite

Anemia is a condition in which red blood cells or the hemoglobin in the blood is lower than in healthy people. Red blood cells transport and supply oxygen needed to various organs in the human body. Anemia is caused by hypoxemia due to the lack of red blood cells and causes other serious health problems, such as heart problems, pregnancy complications, severe fatigue, or death. There are many causes of anemia, and it can be diagnosed by measuring hematocrit or hemoglobin levels in the blood. Even though there are various diagnostic devices on the market, these devices are inconvenient because their systems are bulky, heavy, expensive, or inaccurate. This study proposed a new anemia diagnostic system based on the impedance measurement of red blood cells. The proposed system consists of a test strip that collects a blood sample from the finger and a hemoglobin meter that measures the impedance of the blood and converts it into the concentration of hemoglobin. The proposed test strip that does not contain enzymes or reagents was designed in accordance with class 1 approval by the Food and Drug Administration (FDA). The hemoglobin meter was designed to include a hardware block, an algorithm block and a calibration block through empirical work. We also compared it to reference impedance to prove the accuracy of the hemoglobin meter. The experimental results with human blood indicated the superiority of the anemia diagnostic system. As a result, the overall standard deviation of impedance measurements was less than 1%, and the coefficient of variance of the proposed system was 1.7%, which was better than that of other commercial systems.

show abstract

“…The POC analyzers provide data for arterial blood gases, electrolytes, hemoglobin, and hematocrit. 6 Depending on patient needs, Chem 7 and Chem 8 iStat cartridges provide the following specific values: sodium, potassium, ionized calcium, hematocrit, hemoglobin*, pH, PCO 2 , PO 2 , total carbon dioxide*, bicarbonate*, base excess*, sulfur dioxide*, chloride, anion gap*, glucose, urea nitrogen/urea, and creatinine 6 (* = calculated). Equipment was carried in a hard, plastic tough box for securing in vehicles during transport (Fig.…”

Section: Methodsmentioning

confidence: 99%

Point-of-Care Laboratory Data Collection During Critical Care Transport

Eastman

Allen

Mumma

et al. 2021

Air Medical Journal

View full text Add to dashboard Cite

Critical care transport involves a high level of intensive clinical care in a resource-limited environment. These patients require multiple assessments guiding specialty treatments, including blood product administration, intravenous electrolyte replacement, ventilator management, and extracorporeal membrane oxygenation. This study aims to measure the usage of point-of-care (POC) laboratory data during critical care transport. Methods: Data were collected via electronic medical record review over 1 year of use in a hospital-based critical care rotor wing, fixed wing, and ground critical care transport team in the Southeastern United States. Results: One hundred twenty POC tests were performed during 1,075 critical care transports over the 1-year period (8.9%). Patient transportations involved 35 extracorporeal membrane oxygenation, 21 medical, 17 cardiac, 13 neonatal, 11 respiratory failure, 8 gastrointestinal bleeding, 6 neurologic, 5 pediatrics, 3 trauma, and 1 organ donor. Seventy-eight POC laboratory tests (65%) required intervention, including ventilator changes (39.7%), electrolyte replacement (35.8%), blood products (7.6%), and other (12.8%). The remaining 42 (35%) POC laboratory tests confirmed no intervention was necessary (n = 35) and that ongoing treatments were effective (n = 7). Conclusion: POC laboratory testing performed during critical care transport guides providers in performing essential emergent interventions in a timelier manner that may benefit critically ill patients.

show abstract

Evaluation of the i-STAT point-of-care capillary whole blood hematocrit and hemoglobin: Comparison to the Siemens RAPIDLab 1200, Sysmex XE5000, and manual spun hematocrit

Cited by 14 publications

References 11 publications

Daily home monitoring of potassium, creatinine, and estimated plasma volume in heart failure post‐discharge

Daily home monitoring of potassium, creatinine, and estimated plasma volume in heart failure post‐discharge

Anemia Diagnostic System Based on Impedance Measurement of Red Blood Cells

Point-of-Care Laboratory Data Collection During Critical Care Transport

Contact Info

Product

Resources

About