Survival pattern of hemodialysis patients in Kumasi, Ghana: A summary of forty patients initiated on hemodialysis at a new hemodialysis unit
Bibliographic record
Abstract
To evaluate the survival pattern of hemodialysis patients at a dialysis unit in Kumasi, Ghana, through a retrospective (observational) study. Patients who were placed on hemodialysis at the dialysis unit at Komfo Anokye teaching hospital from October 25, 2006 to December 2007. The patients were followed from initiation of dialysis until December 31, 2007. The overall mortality was 14 (35.9%) on the incident population for the period and that for the first 90 days was 12 (32.4%) patients. Chronic glomerulonephritis was the underlying kidney disease in 35.9%. This was followed by hypertension (19.1%) and diabetes mellitus (15.4%), respectively. Cardiovascular diseases accounted for 42% of mortality. This was followed by septicemia (25%) from the access site and anemia (25%). Fifty percent of the patients were able to afford 20 sessions of hemodialysis before stopping. The most powerful predictors of survival were the duration of hemodialysis (P=0.05) and the number of hemodialysis sessions (P=0.02). Age at initiation of hemodialysis was not significant. First 90-day mortality of patients on hemodialysis is high in poor African countries. This is due partially to the late referral of patients and also the cost of the dialysis treatment. Efforts will have to be made to reduce the cost of the dialysis treatment. Reuse technology (of dialyzer, etc.) should be introduced to cut down the cost of hemodialysis. Peritoneal dialysis should also be introduced for highly motivated patients. Efforts should also be made to reduce the increasing incidence of kidney disease, and finally third-world countries should consider establishing kidney transplantation, that is cost effective.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".