<i>Clostridium difficile</i>-Associated Diarrhea: Predictors of Severity in Patients Presenting to the Emergency Department
Bibliographic record
Abstract
OBJECTIVE: Experiences with Clostridium difficile-associated diarrhea (CDAD) were reviewed to determine predictors of severity in patients presenting from the community. METHODS: All patients admitted to two hospitals over 4.5 years with a primary diagnosis of CDAD were reviewed. Patients requiring a hospital stay of greater than 14 days, colectomy, intensive care unit admission or who died were classified as 'severe CDAD' and compared with the remainder of the patients (termed 'mild CDAD'). RESULTS: One hundred fifty-three patients (mean age 63.4+/-20.5 years, range 21 to 93, 64.7% female) were reviewed. Forty-four per cent of the patients had community-acquired CDAD, and the remainder had hospital-acquired disease. There were 44/153 (28.8%) patients with severe CDAD, of which 10/153 (6.5%) died. The severe group had more patients over 70 years old (75% versus 43% in the mild group, OR 3.09, CI 1.81-8.63, P<0.001) and had more comorbid disease (median two major organ systems affected [range zero to five] versus one [range zero to four] in the mild group, OR 1.52, CI 1.27-2.65, P<0.05). Patients with recurrent CDAD were more likely to have severe CDAD (12/44 versus 10/109 in the mild group, OR 4.10, CI 1.47-9.40, P<0.01). CONCLUSION: Age over 70 years, comorbid illness and CDAD recurrence are significant risk factors for severe disease and a poor outcome in patients admitted to hospital for CDAD.
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 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".