Morbidity and mortality: Profile of patients on renal replacement therapy in the private sector
Bibliographic record
Abstract
Introduction: The aim of renal replacement therapy (RRT) is to achieve a reduction in morbid events and improve quality of life (QOL). Mortality means the condition of being subject to death. Morbidity is anything that is abnormal, atypical, exceptional, and/or aberrant. Morbidity usually occurs as a result of a treatment (side effects), when treatment is inappropriate or inadequate. Predictors that may be risk factors for mortality and morbidity in dialysis patients can be divided into patient‐related and treatment‐related categories (Khan, 2000:11). Purpose of the study: The purpose of this retrospective study was to determine the morbidity and mortality profile of patients receiving RRT in the private sector. Research design and method: This study was contextual and descriptive in nature, based on case analysis of patients receiving RRT in private dialysis facilities. A checklist was used that made provisions to record all patient‐ and treatment‐ related factors that might influence mortality and morbidity profiles of the target population. The target population included all hemodialysis and peritoneal dialysis patients receiving treatment in private dialysis facilities of a specific company. Results: The results indicated the following factors have an influence on patient morbidity and mortality: Patient related: Age, comorbid situations such as peripheral vascular, cerebrovascular, and cardiovascular disease and also diabetes mellitus. Treatment related: Referral pattern, nutritional status, dialysis adequacy, anaemia, and blood pressure.
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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 | 0.000 |
| 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) | 0.001 | 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".