MO716: A Different Pet Test: The Relationship between Pet Ownership and Peritonitis Risk in the Peritoneal Dialysis Outcomes and Practice Patterns Study
Bibliographic record
Abstract
Abstract BACKGROUND AND AIMS In the USA, 64% of homes have dogs or cats (38% dogs and 25% cats in 2017-8). As a home-based treatment, peritoneal dialysis (PD) patients run the risk of developing zoonotic diseases from their pets. The 2016 International Society for Peritoneal Dialysis Guidelines recommend that domestic animals should not be in the area while the PD exchange is performed. The primary aim of this study was to see how common it was for PD patients to have pets and to examine the association between pet ownership and peritonitis risk in the Peritoneal Dialysis and Outcomes Practice Patterns Study (PDOPPS). METHOD PDOPPS is an international prospective cohort study of adult PD patients across eight countries—Australia, Canada, Japan, New Zealand, South Korea, Thailand, the UK, and the USA. Patient demographics and comorbid conditions were collected at study enrolment and patient questionnaires collected information on household pets. Peritonitis episodes were collected using uniform and standardized data collection tools, procedures and processes. Risk of peritonitis was modelled using a Cox proportional hazards regression adjusted for patient demographics, 14 comorbid conditions, serum albumin, and residual urine volume and stratifying on country and prior peritonitis episodes during follow-up. RESULTS In total, 3655 PD patients provided information about household pets (out of a total of 4473 participants who filled out patient questionnaires amongst a total of 12 447 eligible patients). Among patients who reported on pet ownership, the percentage of patients owning only dogs was 19%, only cats 7%, and 6% with dogs and cats. Most countries, including the USA, had less than 50% of PD patient households having pets, lower than the US general population. Notable differences could be seen between countries in the profile of pets at home, including low numbers of pet ownership in South Korea and greater numbers of dogs than cats in the USA, Thailand, Japan and the UK (Fig. 1). Over a median follow-up for this cohort of 14 months and a total exposure time of 55 475 patient-months, 1347 peritonitis episodes were detected with an overall peritonitis rate of 0.29 episodes/patient-year. Having pets was associated with a hazard ratio of 1.09 (95% confidence interval 0.96–1.25) compared to no pet ownership. Figure 2 compares various combinations of pet ownership to PD patients with no pets as the reference group. However, among patients who lived alone, the peritonitis risk associated with pet ownership versus no pets appeared elevated, especially for people who owned both dogs and cats, although the P-value for the interaction was 0.72 (Fig. 2). CONCLUSION Utilizing this large cohort study, our results suggest limited increased peritonitis risk with pet ownership was seen among patients who live with others. However, our findings do suggest that for patients who live alone, higher peritonitis rates may be seen in those who have a pet. While it would be prudent to ensure maintenance of a high level of hygiene, our results suggest that pet ownership should not be an obstacle to choosing PD.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".