Long-term consequences of renal insufficiency in children: lessons learned from the Dutch LERIC study
Bibliographic record
Abstract
Few data exist on the prospects in adulthood for children on chronic renal replacement therapy (RRT). This article summarizes the results of a comprehensive Dutch long-term follow-up study performed in 2000 and 2010 of patients with RRT onset at age <15 years between 1972 and 1992. After a median of 25.5 RRT years, patients had stayed 23% of RRT time on dialysis. We observed a 30 times greater mortality risk compared with age-matched peers with cardiovascular disease (CVD) as the main cause of death during 1972-2000 and infections during 2000-10. The observed shift towards infections was associated with more RRT time with a graft and receiving a stricter CVD protective treatment. For patients >40 years of age, motor disabilities affecting routine activities, skin cancer and severe fatigue were the most disabling sequelae. After 30 years of transplantation, 41% of the survivors had developed cancer, a life-threatening form of squamous cell skin carcinoma being most prevalent. Important delays in autonomy development and educational attainment and a relatively high level of unemployment were observed. Transplanted patients reported a good mental and physical quality of life, but the latter tended to decrease over time. A long period of dialysis was associated with all adverse somatic and psychosocial outcomes. Paediatric nephrologists should aim for transplantation at the earliest possible time and focus on autonomy and educational attainment. Nephrologists should focus on strict CVD prevention, adjustment of immunosuppression to the lowest possible dose and surveillance of malignancy-associated viral infections in patients with childhood end-stage renal disease.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".