B12 Deficiency Increases With Age in Hospitalized Patients: A Study on 14,904 Samples
Bibliographic record
Abstract
BACKGROUND: Cobalamin deficiency is responsible for hematological, neurological, neurocognitive, and neuropsychiatric impairments and is a risk factor for cardiovascular diseases, particularly in the elderly people. METHODS: In order to determine B12 status in old inpatients, a total number of 14,904 hospitalized patients in whom B12 measurements were performed in five hospitals in the Paris metropolitan area were included from January 1, 2011 to December 31, 2011. The aims of the study were to determine whether age had an impact on B12 and folate deficiencies and to evaluate correlations between B12 and biological parameters-folate, hemoglobin, mean cell volume, homocystein (tHcy)-and age. RESULTS: Patients were aged 70.3±19.5 years. Low B12 concentration (<200ng/L) was observed in 4.6% of cases, 24.2% had middle B12 concentration (200-350ng/L), 12.6% were functional B12 deficient (B12 < 350 ng/L associated to high tHcy level, tHcy > 17 µmol/L), 20.4% had low folate concentration (folate < 4 µg/L), 10.6% were functional folate deficient (folate < 4 µg/L associated to tHcy > 17 µmol/L), and 4.7% of patients were both functional B12 and folate deficient. The B12 or folate deficient patients had lower mean cell volume level than nondeficient patients. Increase in mean cell volume and tHcy concentrations with age and decrease in B12, folate, and hemoglobin levels with age were observed. Frequency of functional B12 deficiency was 9.6% in patients aged 30-60 years and 14.2% in patients over 90 years. Frequency of functional folate deficiency was 9.5% in 30-60 years and 12.1% in >90 years. CONCLUSIONS: In inpatients, functional B12 deficiency and functional folate deficiency increase with age and are not associated with anemia or macrocytosis. False vitamin B deficiencies are frequent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".