Low serum albumin levels predict short‐ and long‐term mortality risk in patients hospitalised to general surgery wards
Bibliographic record
Abstract
BACKGROUND: Previous studies have reported conflicting results on the association between hypoalbuminaemia and morbidity and mortality in hospitalised patients. AIMS: To investigate the association of albumin levels on admission and change in levels during hospitalisation of patients in general surgery wards with hospitalisation outcomes. METHODS: Historical prospective data of patients hospitalised between January 2011 and December 2017. Albumin levels were classified as follows: marked hypoalbuminaemia (<2.5 mg/dL), mild hypoalbuminaemia (2.5-3.5 mg/dL), normal albumin (3.5-4.5 mg/dL) and hyperalbuminaemia (>4.5 mg/dL). Main outcomes were length of hospitalisation, 30-days and long-term mortality. RESULTS: The cohort included 17 930 patients (mean age 58 ± 20 years, 49% male). Most had normal albumin levels on admission (n = 11 087, 62%), 16% had mild hypoalbuminaemia (n = 2824) and 3% had marked hypoalbuminaemia (n = 529). Hyperalbuminaemia on admission was evident in 20% of the patients (n = 3490). Follow-up time was up to 7.2 years (median ± SD = 3 ± 2 years). Compared to 30-day mortality with normal albumin on admission (2%), mortality was higher with mild (9%) and marked hypoalbuminaemia (22%) and lower with hyperalbuminaemia (0.4%). The mortality rate at the end of follow up was 14% with normal albumin levels, and 35% and 58% with mild and marked hypoalbuminaemia respectively. Patients with hyperalbuminaemia on admission and before discharge had the best short- and long-term survival. This pattern was similar when analysed separately in different age groups. In patients with hypoalbuminaemia on admission, normalisation of albumin levels before discharge was associated with lower short- (12% vs 1%) and long-term mortality risk (42% vs 17%). CONCLUSIONS: Low albumin levels on admission to general surgery wards are associated with increased short- and long-term mortality. Normalisation of albumin levels before discharge was associated with lower mortality, compared to hypoalbuminaemia before discharge.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".