Nursing care for patients with the Ehlers-Danlos and other hypermobility syndromes
Bibliographic record
Abstract
Ehlers-Danlos syndrome is a rare genetic disorder, with mainly three symptoms: hypermobility, fragile skin and fragile veins. In this article we discuss the syndrome and we consider the consequences for nursing care of the three most common types of EDS. Starting point are the health patterns of Gordon in combination with peri-operative situations. Ehlers-Danlos syndrome (EDS) comprises a clinically and genetically heterogeneous group of inherited connective tissue disorders, which are mainly characterized by a variable degree of generalized joint hypermobility, skin hyperextensibility, easy bruising and skin fragility. Two facts have to be taken into consideration: firstly, the severity of the manifestation of the syndrome varies among patients, even among members of the same family. It is not possible to make sharp distinctions based on clinical findings between the types. Secondly, it is impossible to clearly distinguish the different types based on clinical findings, as the syndrome manifests itself in many different ways. So far, there are no simple and reliable clinical tests or laboratory test. Furthermore, patients often have additional problems, which are not characteristics of the known types of Ehlers Danlos. As a nurse it is important to be aware of the strongly varying needs of patients both during the day and night and their pain and fatigues, which all patients report, and report as being as very troublesome. It is essential that nurses, during hospi- talization, should bear in mind that patients may have to cope with hypermobility of the joints, fragile skin, possible dysfunctional vasoconstriction and the often present generalized autonomous disregulation. Because the pattern of complaints varies markedly from patient to patient, good communication between nurse and patient is very important.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".