Acute hemodialysis complications in end‐stage renal disease patients: The burden and implications for the under‐resourced <scp>S</scp>ub‐<scp>S</scp>aharan <scp>A</scp>frican health systems
Bibliographic record
Abstract
Little is known about the challenges of routine renal replacement therapy in Sub-Saharan Africa. We investigated the fatal and nonfatal acute hemodialysis (HD) complications in patients with end-stage renal disease (ESRD) in two main dialysis centers in Cameroon. 1000 consecutive HD sessions incurred over a 4-month period by 129 patients (96 men, 74%) with ESRD, receiving two weekly HD sessions of 4 hours each, were considered. Personal and clinical profiles before, during, and within 24 hours after HD sessions were used to diagnose complications. Participants were aged 7 to 80 years (mean 46 years). In all, 452 acute complications were recorded in 411 (41%) of the 1000 HD sessions. Of the 11 types of complications, hypotension (25%), muscular cramps (22%), hypertensive crisis (14%), pruritus (10%), and fever (7%) were the most frequent. Three hundred and six complications (67.7%) occurred during understaffed nighttime. The vascular access was the main bleeding site with 64%. Being diabetic and ultrafiltration rate >1000 mL/h were associated with hypotension and muscle cramps. The shorter duration in dialysis was associated with the risk of bleeding and the disequilibrium syndrome while longer duration was associated with muscle cramps. Four deaths (three from bleeding and one from disequilibrium syndrome) occurred, all during nighttime. Nearly half of dialysis sessions in these settings are associated with acute complications, some of which are fatal. Those complications occurred mostly during understaffed periods. Urgent strategies are needed to quickly solve the human capital crisis in the health care sector.
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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 | 0.001 | 0.000 |
| 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".