MP760PREVALENCE OF PAIN IN CHRONIC HEMODIALYSIS PATIENTS SPANISH PROGRAM FOR THE ATTENTION OF TERMINAL RENAL DISEASE PAIN IN DIALYSIS UNITS
Bibliographic record
Abstract
INTRODUCTION AND AIMS: It´s estimated that pain is a very frequent symptom among hemodialysis patients; in some instances it is present in at least 50% of the cases. Furthermore, pain constitutes the symptom with the greatest impact in health-related quality of life. The purpose of this study was quantifying, identifying and measuring its presence in the hemodialysis population. METHODS: Multicenter transversal study in a total of 17 dialysis units, 6 hospitals and 11 centers in Spain, with the aim of improving the management of hemodialysis pain. The sample was calculated with a pain prevalence of 70%, an error margin of 5, 74%, and an alpha value of 0, 05. The samples were stratified by center and sex on a population of 755 patients. Exclusion criteria were the lack of knowledge of the Spanish language and severe cognitive deterioration, and participation in the study was accepted through informed consent. The presence, type and intensity of the pain were determined through the McGill-SV questionnaire, which includes the analogical visual scale (EVA). Comorbidity was determined with the Charlson index. RESULTS: The examined sample was of 252 patients with an average age of 65.1 years. The pain prevalence found was of 101 cases (40, 7%); as for the intensity, 47 (46, 5%) quantified the pain as moderate-severe, while 27 (26, 7%) quantified it as severe. The pain was described as weak in 10 cases (10, 4%), bearable in 46 cases (47, 9%), intense in 24 cases (25%), and terribly bothersome in 16 cases (16, 7%). Among the men, 61 (59%) suffered some kind of pain along with 40 (41%) women, while 24 (16%) men and 23 (23%) women suffered from moderate pain, odds ratio 1, 66 (IC 95% from 0, 88 to 3, 15). Regarding the type of pain, the nociceptive was the most frequent (54, 1%), followed by the mixed type (42, 4 %), and the neuropathic type (3, 5%). There was a non-significant tendency toward greater pain frequency with higher ages. For EVA<5 the average Charlson age-comorbidity index was 7, 81; and for EVA>5 it was 9, 38 with a difference of 1, 58 (IC 95 % from 0, 61 to 2, 54). CONCLUSIONS: Pain is very frequent in hemodialysis patients and affects almost half of them. Patients who suffer from pain have a higher age-comorbidity index.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".