2014
DOI: 10.1183/09031936.00043214
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Earlier decline in sniff nasal inspiratory pressure than peak expiratory flow in children with Duchenne muscular dystrophy

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Cited by 8 publications
(3 citation statements)
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“…Studies on PFT and respiratory involvement have been conducted in DMD [16,20,24]. Furthermore, SNIP and pulmonary function tests have been shown to be strongly correlated with DMD, demonstrating that SNIP declines earlier than vital capacity [3,25]. Our most noteworthy result was that a low SNIP predicted respiratory muscle involvement in these patients, despite the normal FVC, indicating that FVC was insu cient to predict respiratory muscle involvement.…”
Section: Discussionmentioning
confidence: 66%
“…Studies on PFT and respiratory involvement have been conducted in DMD [16,20,24]. Furthermore, SNIP and pulmonary function tests have been shown to be strongly correlated with DMD, demonstrating that SNIP declines earlier than vital capacity [3,25]. Our most noteworthy result was that a low SNIP predicted respiratory muscle involvement in these patients, despite the normal FVC, indicating that FVC was insu cient to predict respiratory muscle involvement.…”
Section: Discussionmentioning
confidence: 66%
“…In a group of 51 children with Duchenne and Becker muscular dystrophy, aged 5-20 years old, SNIP measurement was found highly reproducible (coefficient of variability 8%) [93]. Nève et al also reported that SNIP decreases earlier than vital capacity and peak expiratory flow in subjects with DMD, demonstrating its value as an early marker of inspiratory strength decline [93,94]. In another study of 55 DMD patients aged from 6 to 19 years old, SNIP values decline by about 6% predicted per year [92].…”
Section: Respiratory Muscles 441 Pressurementioning
confidence: 95%
“…Linear mixed model procedure was used to analyze the change of CMI and HR max versus a broken function of IC dyn that took 0 before the knot and subject’s IC dyn after the knot; the knot position was fixed by the smallest Akaike information criterion (AIC) using Gauss–Newton method. 31 , 32 Thus, mean and 95% confidence interval of optimal knot, intercept (no change), and slope (increase) were estimated by nonlinear mixed model. As these two variables are used interchangeably in the literature to define CI, we took the middle of the overlap area of the IC dyn knot from these two relationships.…”
Section: Methodsmentioning
confidence: 99%