Septic and febrile kidney stone presentations during the COVID-19 pandemic
Bibliographic record
Abstract
INTRODUCTION: During the early stages of the COVID-19 pandemic, hospitals shifted their resources and focus toward COVID-19 care and non-deferrable conditions. Renal colic is one of the most common urologic presentations to the emergency department (ED ). In our study, we examined whether there was an increase in septic/febrile stone presentations to the ED requiring ureteral stent insertion after the public health restrictions during the COVID-19 pandemic. METHODS: We carried out a retrospective cohort study and reviewed charts of septic/febrile stone patients requiring ureteral stent insertion from January 1, 2019, to March 16, 2020 (pre-COVID) and July 1, 2020, to December 31, 2021 (intra-COVID) at the Queen Elizabeth II Health Sciences Centre in Halifax, NS. The incidence of septic/febrile stone presentation, baseline characteristics, and perioperative outcomes were captured. RESULTS: There were 54 patients in the pre-COVID group and 74 patients in the intra- COVID group. There were no statistically significant differences found in baseline or stone characteristics between the two groups (p>0.05). Patients in the intra-COVID group were found to have a longer presentation to operating room time when compared to the pre- COVID cohort (U=961.00, p=0.04). The intra-COVID group had 20 more cases of septic stone presentations compared to the pre-COVID group at the 15-month mark (pre-COVID, n=54; intra-COVID, n=74). CONCLUSIONS: We found increased time to operative intervention in the intra-COVID cohort compared to the pre-COVID cohort. The overall number of urgent and/or critically ill ureteric stone patients increased between cohorts but was not statistically significant.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".