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Hemoglobin Oxygen Saturation Discrepancy Using Various Methods in Patients with Sickle Cell Disease.

2004· article· en· W2979495503 on OpenAlexaff
Shahid Ahmed, Rabia Shahid, Anita K. Siddiqui, Cristina Sison, Dilip Patel, Joseph Mattana

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsDartmouth General HospitalDalhousie UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsPulse oximetryMedicineHypoxemiaOxygen–haemoglobin dissociation curveHemoglobinVaso-occlusive crisisInternal medicineOxygen saturationGastroenterologyAnesthesiaArterial bloodCardiologySickle cell anemiaDiseaseOxygen

Abstract

fetched live from OpenAlex

Abstract Objective: Sickle cell disease (SCD) is characterized by chronic hemolytic anemia and vaso-occlusive painful crises. Recurrent pulmonary microinfarction as well as increased predisposition to lung infection during vaso-occlusive crisis places these patients at high risk for hypoxemia. Furthermore, because hypoxemia is a trigger for sickling and vaso-occlusion, the detection of arterial hypoxemia and its correction are very important during painful episodes. We previously assessed reliability of pulse oximetry in pateints with SCD (Blood2001:98;491 abstr 2049). In present study we evaluated agreement among three available methods for measuring hemoglobin oxygen saturation in a relatively larger group of adult patients with SCD during vaso-occlusive crisis and compared them to a control group. Methods: Eighteen adult hypoxic patients with SCD hospitalized during a painful episode at a tertiary care institution served as the study group, whereas 12 non-SCD hypoxic African-American patients admitted with various cardio-pulmonary diagnoses served the control group. The hemoglobin oxygen saturation was determined simultaneously by pulse oximetry (SpO2), co-oximetry (SO2 [functional oxyhemoglobin saturation] & FO2Hb [oxyhemoglobin fraction]) and by calculation (SaO2) using a normal oxyhemoglobin dissociation curve in the 2 groups.Bland-Altman analysis was carried out to evaluate agreement of various methods in the two groups. Spearman Correlations were calculated for descriptive purposes. As a secondary analysis, McNemar’s Test was used to compare the proportion of ‘critically hypoxic’ patients between two measurement techniques. Results: The two groups were different with respect to age, systolic blood pressure, body temperature, hemoglobin level, serum bilirubin level, blood pH, methemoglobin and carboxyhemoglobin levels. Mean differences between various methods for measuring hemoglobin oxygen saturation in patients with SCD were significantly larger than the control group. Mean bias between SpO2 and SO2, and SpO2 and FO2Hb in patients with SCD were −3.1 ±4.4 (95% CI −11.7 to 5.5) and 2 ±4.1 (95% CI, −6 to 10) respectively compared to −1.4 ±1.4 (95% CI, −4 to 1.4) and 1.2 ±1.5 (95% CI, −1.8 to 4.2) in control group. A bias of −4.5 ±4 (95% CI, −12.3 to 3.8) between SpO2 and SaO2 was noted in patients with SCD compared to −0.08 ±2.1 (95% CI, −4.2 to 4.1) in control. Spearman correlations between various methods in control group were consistently higher (0.82 to 0.99) than patients with SCD (0.59 to 0.89). McNemar’s test for comparing the proportion of "Critically Hypoxic" disposition using a cut-point of 90% oxyhemoglobin saturation showed that there was poor agreement among methods in the sickle cell group whereas acceptable agreement was noted among methods in the control group. Conclusion: Patients with SCD during vaso-occlusive crisis have discrepancies in oxyhemoglobin saturation measurements by various methods. Abnormal pulse oximetry values in these patients should be interpreted cautiously and supplemented by PO2 and co-oximetry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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 designBench or experimental
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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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