Adverse clinical outcomes and associated factors among older adults undergoing hemodialysis in Brazil: A single-center experience
Bibliographic record
Abstract
INTRODUCTION: In the last decade, there has been an increase in the number of older adults diagnosed with kidney failure in Brazil. Anecdotal reports suggest that older adults receiving hemodialysis (HD) face a higher risk of adverse outcomes. This study aims to investigate adverse clinical outcomes and associated factors among adults over age 60 who received chronic HD at a single center in northeastern Brazil. METHODOLOGY: We conducted a retrospective cohort of older adults undergoing HD at a center in Aracaju, Sergipe, Brazil, from October 1, 2019 to March 1, 2024. Multivariable Cox regression analysis was performed to examine the associations with various risk factors for all-cause mortality. A binomial logistic regression model was leveraged for Major Cardiovascular Events (MACE) and all-cause hospitalization. RESULTS: Among the 950 adults, 392 individuals over age 60 were included in our sample (median age: 68.5 years, IQR: 64-75; male: 63%). Diabetes was the leading cause of kidney failure. The total number of deaths was 157 (40.1%), primarily due to infection (n = 60, 38.2%). Multivariable analysis indicated that increased age was independently associated with all-cause mortality [HR = 1.07 (1.02-1.09), p = 0.001], while fistula use was associated with reduced mortality risk [HR = 0.36 (0.19-0.68), p = 0.02]. Although hospitalization rate increased with age, this relationship is not statistically significant. Health insurance and hypertension increased hospitalization risk, whereas fistula use was protective. Previous history of cardiovascular disease (CVD) and low serum albumin were associated with MACE. The bloodstream infection rate was 0.18 episode/patient-year, predominantly due to gram-positive organisms, with coagulase-negative Staphylococcus being the most common. CONCLUSION: Among patients undergoing HD, older age is associated with a high risk of all-cause mortality. Fistula use appeared to be protective against all-cause mortality and hospitalization. Well-designed prospective studies are needed to clarify factors impacting adverse outcomes among older dialysis patients in Brazil.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".