Gout After Living Kidney Donation: A Matched Cohort Study
Bibliographic record
Abstract
BackgroundIn the general population, high serum uric acid concentration is a risk factor for gout. It is unknown whether donating a kidney increases a living donor’s risk of gout as serum uric acid concentration increases in donors after nephrectomy.Study DesignRetrospective matched cohort study using large health care databases.Setting & ParticipantsWe studied living kidney donors who donated in 1992 to 2010 in Ontario, Canada. Matched nondonors were selected from the healthiest segment of the general population. 1,988 donors and 19,880 matched nondonors were followed up for a median of 8.4 (maximum, 20.8) years.PredictorLiving kidney donor nephrectomy.OutcomesThe primary outcome was time to a diagnosis of gout. The secondary outcome in a subpopulation was receipt of medications typically used to treat gout (allopurinol or colchicine).MeasurementsWe assessed the primary outcome with health care diagnostic codes.ResultsDonors compared with nondonors were more likely to be given a diagnosis of gout (3.4% vs 2.0%; 3.5 vs 2.1 events/1,000 person-years; HR, 1.6; 95% CI, 1.2-2.1; P < 0.001). Similarly, donors compared with nondonors were more likely to receive a prescription for allopurinol or colchicine (3.8% vs 1.3%; OR, 3.2; 95% CI, 1.5-6.7; P = 0.002). Results were consistent in multiple additional analyses.LimitationsThe primary outcome was assessed using diagnostic codes in health care databases. Laboratory values for serum uric acid and creatinine in follow-up were not available in our data sources.ConclusionsThe findings suggest that donating a kidney modestly increases an individual’s absolute long-term incidence of gout. This unique observation should be corroborated in future studies. In the general population, high serum uric acid concentration is a risk factor for gout. It is unknown whether donating a kidney increases a living donor’s risk of gout as serum uric acid concentration increases in donors after nephrectomy. Retrospective matched cohort study using large health care databases. We studied living kidney donors who donated in 1992 to 2010 in Ontario, Canada. Matched nondonors were selected from the healthiest segment of the general population. 1,988 donors and 19,880 matched nondonors were followed up for a median of 8.4 (maximum, 20.8) years. Living kidney donor nephrectomy. The primary outcome was time to a diagnosis of gout. The secondary outcome in a subpopulation was receipt of medications typically used to treat gout (allopurinol or colchicine). We assessed the primary outcome with health care diagnostic codes. Donors compared with nondonors were more likely to be given a diagnosis of gout (3.4% vs 2.0%; 3.5 vs 2.1 events/1,000 person-years; HR, 1.6; 95% CI, 1.2-2.1; P < 0.001). Similarly, donors compared with nondonors were more likely to receive a prescription for allopurinol or colchicine (3.8% vs 1.3%; OR, 3.2; 95% CI, 1.5-6.7; P = 0.002). Results were consistent in multiple additional analyses. The primary outcome was assessed using diagnostic codes in health care databases. Laboratory values for serum uric acid and creatinine in follow-up were not available in our data sources. The findings suggest that donating a kidney modestly increases an individual’s absolute long-term incidence of gout. This unique observation should be corroborated in future studies.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".