Length of stay, hospitalization cost, and in-hospital mortality in US adult inpatients with immune thrombocytopenic purpura, 2006–2012
Bibliographic record
Abstract
PURPOSE: In this study, we examined the length of stay, hospitalization cost, and risk of in-hospital mortality among US adult inpatients with immune thrombocytopenic purpura (ITP). METHODS: We analyzed nationally representative data obtained from Nationwide/National Inpatient Sample database of discharges from 2006 to 2012. RESULTS: In the US, there were an estimated 296,870 (95% confidence interval [CI]: 284,831-308,909) patient discharges recorded for ITP from 2006 to 2012, during which ITP-related hospitalizations had increased steadily by nearly 30%. The average length of stay for an ITP-related hospitalization was found to be 6.02 days (95% CI: 5.93-6.10), which is 28% higher than that of the overall US discharge population (4.70 days, 95% CI: 4.66-4.74). The average cost of ITP-related hospitalizations was found to be US$16,594 (95% CI: US$16,257-US$16,931), which is 48% higher than that of the overall US discharge population (US$11,200; 95% CI: US$11,033-US$11,368). Gender- and age-adjusted mortality risk in inpatients with ITP was 22% (95% CI: 19%-24%) higher than that of the overall US discharge population. Across diagnosis related groups, length of stay for ITP-related hospitalizations was longest for septicemia (7.97 days, 95% CI: 7.55-8.39) and splenectomy (7.40 days, 95% CI: 6.94-7.86). Splenectomy (US$25,262; 95% CI: US$24,044-US$26,481) and septicemia (US$18,430; 95% CI: US$17,353-US$19,507) were associated with the highest cost of hospitalization. The prevalence of mortality in ITP-related hospitalizations was highest for septicemia (11.11%, 95% CI: 9.60%-12.63%) and intracranial hemorrhage (9.71%, 95% CI: 7.65%-11.77%). CONCLUSION: Inpatients with ITP had longer hospital stay, bore higher costs, and faced greater risk of mortality than the overall US discharge population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".