Advancing Community Care and Access to Follow-Up after Acute Kidney Injury Hospitalization
Bibliographic record
Abstract
Key Points A risk-guided intervention improved adherence to processes of care for AKI survivors. Further supports are necessary to improve uptake of processes of care for AKI survivors in primary care. Background AKI is associated with development and progression of CKD. Gaps in recommended care for CKD are common after AKI. Methods In this randomized controlled trial conducted in Alberta, Canada, we allocated adults hospitalized with Kidney Disease Improving Global Outcomes (KDIGO) stage 2 or greater AKI to a risk-guided, transition of care intervention versus usual practices at the time of hospital discharge. For people in the intervention group, we used a validated risk index to predict risk of severe CKD after AKI. People at low risk (<1%) received patient education alone. People at medium risk received additional clinical guidance, provided to their primary care physician. People at high risk (>10%) were referred to nephrology. The primary outcome was the proportion of patients who received treatment with an angiotensin-converting enzyme inhibitor (ACE-I) or angiotensin II receptor blocker (ARB), statin, and nephrology specialist follow-up within 90 days of discharge. Results One hundred fifty-five patients were recruited; the mean (SD) age was 60 (15) years, 91 (60%) were male, and 96 (62%) had eGFR <60 ml/min per 1.73 m 2 or urine albumin-creatinine ratio >30 mg/g at discharge. The proportion of participants who received ACE-I/ARB, statin treatment, and nephrologist follow-up was 28% in the intervention group versus 3% in the usual care group (absolute risk difference [RD], 25%; 95% confidence interval [CI], 15% to 36%). The use of ACE-I or ARB in participants with urine albumin-creatinine ratio >300 mg/g or diabetes was greater in the high-risk group with the intervention versus usual care (RD, 37%; 95% CI, 6% to 67%), as was statin use among those with CKD (RD, 30%; 95% CI, 5% to 56%) and nephrologist follow-up for those with sustained eGFR <30 ml/min per 1.73 m 2 at discharge (RD, 78%; 95% CI, 56% to 100%). Hyperkalemia was more frequent in the intervention group (RD, 10%; 95% CI, 9% to 19%). Conclusions A risk-guided intervention for patients hospitalized with AKI increased recommended processes of care for CKD for high-risk patients after hospital discharge. Clinical Trial registry name and registration number: Improving Post Discharge Care after Acute Kidney Injury (AFTER AKI), NCT02915575.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".