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Record W4281690338 · doi:10.1136/jnnp-2022-abn.117

080  Home mechanical ventilation (HMV) in primary muscle disease: a 12-year single centre cohort study

2022· article· en· W4281690338 on OpenAlexaff
Patrick B. Murphy, Phillip Marino, Leo Howard, Michelle Ramsay, George Kaltsakas, Nicholas Hart, Robin Howard

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineMyotonic dystrophyRespiratory failureWeaknessFacioscapulohumeral muscular dystrophyMechanical ventilationCohortMuscular dystrophyNeuromuscular diseaseMuscle weaknessGlycogen storage disease type IIPressure support ventilationDuchenne muscular dystrophyVentilation (architecture)Physical therapySurgeryInternal medicineDiseaseEnzyme replacement therapy

Abstract

fetched live from OpenAlex

HMV support is required to manage ventilatory failure in different primary muscle disorders with varying patterns of respiratory muscle weakness and progression. We present a series of 232 patients with dystrophies who received HMV. The number of patients with the condition and the mean duration of support to death (n=75) or December 2019 was; Duchenne Muscular dystrophy – 113 patients (64 alive: 49 died) received HMV for 70m (1–240). Myotonic dystrophy – 42 patients (40:2) - 52m (1–185). Limb girdle – 36 patients (18:18) – 71m (4–130). Congenital – 14 (all alive) – 50m (6–101). Facioscapulohumeral – 9 (8:1) – 94m (46–209) Becker – 8 (3:5) – 40m (15–120) Ventilation was generally supported with a NIPPY 3+ device using pressure control mode with varying dependence and interfaces according to disease severity and patient preference. 57% patients had established respiratory failure, 9% underwent tracheostomy, 51% used cough assist devices and 31% underwent gastrostomy. This series indicates that prolonged survival is possible for patients with primary muscle disease who develop respiratory muscle weakness. The ventilation method, the level of home support and the need for adjuvant support over long periods may vary according to the wishes of the patient, the extent of generalized limb and bulbar weakness, and the pattern of progression. robinhoward@nhs.net

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.254
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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