Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0700208 (scoliosis)
 8,574 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Home mechanical ventilation (HMV) is increasingly used as a therapeutic option to patients with symptomatic chronic hypoventilation. There is, however, a paucity of solid data on factors that could affect prognosis in patients on home ventilation. In the present study, our aim was to study several factors in these patients with potential influence on survival. We examined 1526 adult patients from a nationwide HMV register to which data had been reported prospectively for 10 years. The patients constituted a broad diagnostic spectrum and the primary outcome in this study was death. We found by far the poorest survival rate in the ALS patients with only 5% alive after 5 years. Among the other patient groups the survival pattern was more uniform and the scoliosis, polio and Pickwick patients presented the best survival rate, after 5 years being around 75%. No factors were associated with a greater hazard for death in the ALS patients; in the non-ALS patients, however, negative predictors for survival were age, concomitant use of oxygen therapy, tracheostomy ventilation and start of ventilatory support in an acute clinical setting. Center size or county specific home ventilation treatment prevalence did not affect survival. In conclusion, in a large material of patients on HMV we found by far the poorest survival in the ALS patients. In the non-ALS patients a number of patient-related factors affected survival, while the size of the treating center or the regional treatment prevalence did not.
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PMID:Survival of patients on home mechanical ventilation: a nationwide prospective study. 1710 79

Recently markerless 3D scanning methods receive an increased interest for therapy planning and brace treatment of patients with scoliosis. This avoids repeated radiation known from standard X-Ray analysis. Several authors introduced the method of asymmetry distance maps in order to classify curve severity and progression. The current work extends this approach by statistical mean shape 3D models of the human trunk in order to classify patients. 50 patients were included in this study performing frontal X-ray and 3D scanning analysis. All patients were classified by a clinician according to their Cobb angle and spinal curve pattern (Augmented-Lehnert-Schroth ALS). 3D reconstructions of each patient trunk were processed in a way to elastically register a reference surface mesh with fixed number of data points. Mean 3D shape models were generated for each curve pattern. An asymmetry distance map was then calculated for each patient and mean shape model. Single patient 3D reconstructions were classified according to severity and ALS treatment group. Optimal sensitivity and specificity was 97%/39% thoracic and 87%/42% lumbar respectively for detecting mild and moderate-severe patients. Identifying a treatment group was possible for three combined groups allowing to support decisions during diagnosis and therapy planning.
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PMID:Innovative decision support for scoliosis brace therapy based on statistical modelling of markerless 3D trunk surface data. 3254 33