Short-term mortality of adult inpatients with community-acquired pneumonia: external validation of a modified CURB-65 score
Bibliographic record
Abstract
OBJECTIVE: The management of community-acquired pneumonia (CAP) continues to be a challenge, especially in older people. To enable better risk stratification, a variation of the severity scores CRB-65 and CURB-65, called CURB-age, has been suggested. We compared the association between risk groups as defined by the scores and 30-day mortality for a cohort of mainly older inpatients with CAP. METHODS: We retrospectively analysed data from the CAP database from the years 2005 to 2009 of a single centre in Herne, Germany. Patient characteristics, criteria values within the severity scores CURB-65, CRB-65 and CURB-age, and 30-day mortality were assessed. We compared the association between score points and score-defined risk groups and mortality. Sensitivity and specificity with corresponding 95% CIs were calculated, and receiver operating characteristic (ROC) curve analysis was performed. RESULTS: Data from 559 patients were analysed (mean age 74.1 years, 55.3% male). Mortality at day 30 was 10.9%. CURB-age included more patients in the low-risk category than CRB-65 (195 vs 89), and the patient group had a lower mortality (2.6% vs 3.4%). When compared with CURB-65, CURB-age included slightly fewer patients (195 vs 214) with lower mortality (2.6% vs 4.2%). CURB-age sorted the most patients who died within 30 days into the high-risk CAP group (CURB-age, 32; CURB-65, 28; CRB-65, 9), which had the highest mortality (CURB-age, 26.4%; CURB-65, 19.4%; CRB-65, 21.4%). Advantages of CURB-age categories were depicted through ROC curve analysis (area under the curve 0.73 (95% CI 0.67 to 0.79) for CURB-age categories, 0.67 (95% CI 0.60 to 0.74) for CURB-65 categories, and 0.59 (95% CI 0.52 to 0.66) for CRB-65 categories). CONCLUSIONS: In comparison with CRB-65 and CURB-65, risk stratification as defined by CURB-age showed the closest association with 30-day mortality in our sample. Further prospective studies are needed to assess the potential of CURB-age for better risk prediction, especially in older patients with CAP.
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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 | 0.001 |
| 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".