Cardiovascular diseases, prevention, and management of complications in older adults and frail patients treated for elective or post-traumatic hip orthopaedic interventions: a clinical consensus statement of the ESC Council for Cardiology Practice (CCP), the European Association of Preventive Cardiology (EAPC), the Association for Acute CardioVascular Care (ACVC), the Association of Cardiovascular Nursing & Allied Professions of the ESC (ACNAP), the ESC Working Group on Aorta and Peripheral Vascular Diseases (WG APVD), and the ESC Working Group on Thrombosis (WG T)
Bibliographic record
Abstract
Due to the aging population, focusing on healthy aging has become a global priority. Cardiovascular diseases (CVDs) and frailty, characterized by increased vulnerability to adverse stress and health events, interact synergistically in advanced age. In older adults, hip fractures are a frequent dramatic "life-transition" event. Conditions such as arrhythmias, orthostatic hypotension, heart failure, peripheral artery disease and adverse drug reactions may facilitate falls and thus bone fractures in older adults. Cardiovascular complications or the worsening of previous CVDs may increase the degree of frailty and disability following this surgery. The close relationship between older age, CVDs, frailty and orthopaedic surgery leads to the need to focus on the various phases of interventions in a multidisciplinary approach. This document aims to provide practical support to prevent cardiovascular complications in older and frail patients undergoing hip procedures by suggesting specific assessments and interventions. In particular, in pre-operative care the focus should be on the assessment and management of concomitant CVD and frailty, while immediate peri- and post-operative care should highlight specific concerns for anesthesia, prevention and management of thrombotic complications, specific nursing needs, including the prevention of infections and delirium, and the establishment of an integrated rehabilitation program focusing on CVDs and the risk of new falls, with a positive role for care-givers. Furthermore, by optimizing the "hip surgery pathway" the objective is to help avoid the deterioration of health and loss of independence that often result from this surgery through the correct management of cardiovascular patients in this peculiar context.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".