A162 THE UTILITY OF FECAL CALPROTECTIN IN PREDICTING SEVERITY OF CLOSTRIDIUM DIFFICILE INFECTION: A SYSTEMATIC REVIEW
Bibliographic record
Abstract
Abstract Background Clostridium difficile is an anaerobic, spore-forming, gram-positive bacillus, and a leading cause of infectious diarrhea in hospitalized patients. It is associated with high mortality and morbidity, and places an enormous burden on the healthcare system. Symptoms and severity of CDI vary widely, from illness that resolves with antibiotics, to toxic megacolon, colectomy, and death. The ability to risk-stratify patients to predict severe versus non-severe outcomes at baseline would be clinically useful. The role of fecal calprotectin in predicting severity of CDI has not been well established. Aims To perform a systematic review of the literature on the ability of fecal calprotectin to predict disease severity in patients with CDI. Methods PubMed, OVID (EMBASE/MedLine) and Cochrane Library databases were searched up until October 2, 2019. Publications of pediatric populations, Inflammatory Bowel diseases, and those only published as abstracts were excluded. Results 130 non-duplicate citations were screened; after title/abstract screening, and full-text review, 7 articles were included for analysis. Articles were from 2014 onwards, and varied from 29 to 232 patients/samples analyzed; 832 patients in total were analyzed. Three studies were conducted in the USA, two in Europe, one in Israel and in South Korea. Four studies were prospective, and the remaining three were retrospective cohort studies. There was significant heterogeneity between studies with respect to population size, age (when reported), fecal calprotectin assay and cutoff used, method of diagnosis of CDI, and criteria for defining disease severity. There was wide variation in median fecal calprotectin levels between studies. Four studies demonstrated a statistically significant difference of fecal calprotectin according to disease severity, and three did not, of which two of these demonstrated an overall predictive trend with fecal calprotectin. Conclusions It is unclear whether fecal calprotectin is predictive of severity of CDI in adult patients without IBD. In the existing literature, there seems to be a statistically significant association or trend towards association in most studies, but due to heterogeneity of methods, assays, cutoffs and populations, the data within these studies cannot be pooled in meta-analysis. Further high-powered, well-designed studies are required to clarify this important clinical question. Funding Agencies None
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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 | 0.007 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".