Malnutrition syndrome as a prognostic risk factor for intestinal suture failure in elderly and senile patients with gastric and duodenal ulcer perforation
Bibliographic record
Abstract
Objective. To study the effect of malnutrition syndrome on the risk of intestinal suture failure in elderly and senile patients with gastric and duodenal ulcer perforation. Materials and methods. The results of treatment of 100 elderly and senile patients with perforated gastric and duodenal ulcers who were operated on urgently were analysed. According to the results of previous studies and the analysis of literature sources, the Edmonton Frail scale was used as the basis for the diagnosis of senile asthenia syndrome. Results. On the basis of the assessment of the presence of senile asthenia syndrome, patients of the total sample were divided into two groups: A – 42 (42.0%) patients without senile asthenia syndrome; B – 58 (58.0%) patients with detected senile asthenia syndrome. Determination of total protein and albumin levels confirmed the presence of malnutrition syndrome in patients with senile asthenia syndrome: group A – 70.93 (66.00; 76.00) and 34.61 (31.50; 38.20) g/l, respectively; group B – 61.35 (55.00; 70.00) g/l (p = 0.0009, U = 224.0) and 29.75 (24.70; 35.70) g/l (p = 0.0072, U = 268.0). The analysis of the incidence of postoperative complications revealed that, although the diagnoses, prevalence of inflammation and volume of surgical intervention in the groups were comparable, the incidence of intestinal suture failure in group B was higher – 11 (19.0%) patients than in group A – 2 (4.8%) patients (p = 0.0386, U = 1045.0). The obtained results confirm that the presence of malnutrition syndrome can be considered a prognostic factor for the development of such a complication as intestinal suture failure. Conclusions. The statistically significant effect of malnutrition syndrome on the incidence of intestinal sutures failure was determined: 4.8% – in patients without senile asthenia; 19.0% – in patients with senile asthenia (p = 0.0386, U = 1045.0). Determination of the syndrome of senile asthenia before surgery in elderly and senile patients will make it possible to choose the optimal volume of surgical intervention and timely start corrective therapy in the early postoperative period to reduce the incidence of surgical postoperative complications and improve the quality of treatment of this category of patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".