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Non-Invasive Hemoglobin Measurements In Anemic Patients

2013· article· en· W29151859 on OpenAlexaffabout
Jennifer Goy, Ruth Namazzi, Heather Hume, Henry Ddungu, Musa K. Waiswa, Rohin Malhotra, Mark Crowther

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsSt. Joseph's HospitalCentre Hospitalier Universitaire Sainte-JustineMcMaster UniversityUniversité de MontréalSt. Joseph’s Healthcare HamiltonUniversity of British Columbia
Fundersnot available
KeywordsMedicineAnemiaHemoglobinComplete blood countCohortHematocritPopulationOutpatient clinicInternal medicinePediatricsSurgery

Abstract

fetched live from OpenAlex

Abstract Background Non-invasive Hemoglobin Measurement (NIHM) devices have recently become available in clinical practice. These point-of-care devices use spectrophotometry to measure hemoglobin (Hb), providing real-time results and do not require blood draws. However, the validity of this technology has not been examined in patients with moderate to severe anemia (Hb< 90g/L). The purpose of this study is to examine the validity and performance of non-invasive hemoglobin measurements (NIHM) among anemic patients in the real world setting. Methods Patients were recruited from two clinical settings that are highly applicable this technology. (i) The intensive care setting, where frequent blood draws contribute to anemia. Patients were recruited from three tertiary care critical care units (ii) A developing country setting. Patients were recruited from the Internal Medicine and Paediatrics wards at Mulago hospital in Kampala, Uganda. An additional cohort of patients was recruited from an outpatient Hematology clinic which served as a comparator group. All patients were enrolled in a consecutive manner. In the ICU population, patients were recruited through a consecutive, convenience sample in order to maximize patients with hemoglobin values < 90 g/L. The Pronto 7® NIHM device was compared to Coulter Counter Complete Blood Count (CBC) measurements. All CBC were processed at College of American Pathologist or Ontario Laboratory Accreditation approved labs; all CBC determinations were drawn within 4 hours of the Pronto determination in patients with stable hemoglobin values. Basic demographics along with suspected etiology of anemia were also collected. The consistency between CBC and NIHM was assessed by Pearson's Correlation, mean difference and linear regression. The study was reviewed by the Integrated REB at both St Joseph's Hospital, Hamilton and Mulago Hospital and Makerere University in Uganda. As a minimal risk study, the requirement for consent was waived at the Hamilton sites by the research ethics board. Consent was obtained from Ugandan participants. Results 188 patients were recruited. a. ICU population. Seventy four patients were recruited with mean age of 61 years (range 16-89). The patients were of a medical (n=44; 69%), surgical (n=17; 23%), trauma (n=7; 18%) mixed population (n=6; 13%). The mean Hb on CBC was 97 g/L. Forty patients (53%) had an Hb less than 90 g/L. The mean absolute difference between the CBC and NIHM was 14.85 (range 0-53g/L). The overall Pearson correlation coefficient was 0.62 and the R2 value was 0.37. b. Ugandan population. Eighty-three patients were recruited (31 pediatric and 52 adult) with a mean age of 27 (range 2-80). The mean Hb value on CBC was 80 g/L and 43% percent of patients had Hb values than 70 g/L. Seventeen percent of patients had sickle cell disease. NIHM were not obtainable in over half (n=55 (65%) of the study population) and in 30 of the 31 pediatric patients. In those who could be tested the mean absolute difference between the CBC and NIHM was 24 g/L (range 0-72) with Pearson coefficient of 0.84 and R2 value of 0.71. c. Outpatient population. Thirty one patients were recruited with mean age of 66. The mean Hb value was 119 g/L with mean absolute difference between the CBC and NIHM of 14.6 g/L (range 1-43 g/L) with Pearson correlation coefficient of 0.69 and R2 of 0.47. Figure 1 shows the scatter plot for the three patient groups. In all three groups, the majority of data points fall to the right of the line of equal value between NIHM and CBC measurements, indicating a tendency of the device towards overestimation of the hemoglobin. Discussion This is the first study of NIHM to target the patients with moderate to severe anemia and to include pediatric patients and those with hemoglobinopathy. There is only moderate degree of correlation between the NIHM and CBC measurements with the NIHM demonstrating a consistent positive bias. The positive bias was seen in all patient groups, and both the inpatient and outpatient setting. The device was unable to provide measurements in children though this may have been due the probe size available to the investigators. The discrepancy in values between NIHM and venipuncture CBC values suggests that the non-invasive hemoglobin monitor will be of limited utility in the patient groups evaluated in this study. Disclosures: Crowther: Asahi Kasai: Membership on an entity’s Board of Directors or advisory committees; Baxter: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Boehringer Ingelheim: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; CSL Behring: Speakers Bureau; Leo Pharma: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Merck: Consultancy; Octapharma: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Research Funding; Sanofi-Aventis: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Viropharma: Membership on an entity’s Board of Directors or advisory committees.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.216
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes2
Has abstractyes

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