Epidemiology Trend of Chronic Kidney Disease in a Semi-Urban Tertiary Hospital in Sub-Saharan Africa
Bibliographic record
Abstract
Background The global burden of chronic kidney disease (CKD) has been on an alarming increase in the last two decades. The morbidity and mortality associated with CKD are even worse in Nigeria, like other developing countries, due to multiple socioeconomic and demographic factors in the country. CKD contributes to the increasing need for hospital admission. Hypertension and chronic glomerulonephritis have been the leading causes of CKD in Nigeria. However, diabetic nephropathy has recently gained more significance as a cause of CKD in developing countries. Aim and methods This study aimed to describe the current trend in the burden and population characteristics of CKD in Southern Nigeria. This is a cross-sectional, hospital-based study. The study recruited adult patients with prehemodialysis CKD seen in renal clinics over a two-year period (November 2014 to October 2016). Data were obtained using a questionnaire and from the clinic register. All participants were clinically assessed, including history, anthropometric measurements, and urinary albumin-creatinine ratio. Results A total of 1,549 patients were seen at the Medical Outpatient Clinic over the study period. CKD accounted for 9.7% of medical outpatient clinic attendance. The mean age of participants was 49±13 years. The leading causes of CKD were diabetes mellitus (32%), chronic glomerulonephritis (30%), and hypertension (22%). Among the participants, CKD stages 3, 4, and 5 were prevalent in 26.7%, 43.3%, and 14.7%, respectively. Conclusion and recommendation CKD is very prevalent among medical clinic patients. Diabetic nephropathy seems to be a more significant cause of CKD than was previously reported. Late presentation of patients to nephrologists remains an obstacle to improving CKD outcome in Nigeria. There is need for more intensive preventive measures and early intervention.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".