Biomedical subjects

Leanne M Gauld

Publications and source records attributed to Leanne M Gauld.

4 recordsLinked to original sources

PubMed2005

Relationship between peak cough flow and spirometry in Duchenne muscular dystrophy.

Spirometry is used to monitor respiratory progress in children with Duchenne muscular dystrophy (DMD). Mucociliary clearance depends on cough strength, which can be measured by peak cough flow (PCF). It is not routinely measured in most centers. When the PCF falls below 270 l/min, mucociliary clearance is likely to be impaired during viral illnesses, and techniques to assist mucociliary clearance should be taught. There is no known association between spirometry and PCF. Our aim was to assess if PCF relates to spirometry measures, and if spirometry can be used to predict when the PCF <270 l/min. Children with DMD aged 6-19 years were recruited. Spirometry was performed with a Jaeger Masterscope with version 4.60 software. PCF was performed with a Wright peak flow meter. Data were collected into an Access '97 database, and statistics were performed with Stata 7.0. The association between PCF and spirometry was defined with linear regression. Logistic regression was used to predict the probability that the PCF would be <270 l/min for any given forced vital capacity (FVC) or forced expired volume in 1 sec (FEV1). The risk ratios for PCF <270 l/min were calculated for the spirometry parameters. PCF is associated with FVC (R2, 0.72) and FEV1 (R2, 0.69). The likelihood of PCF <270 l/min rises when FVC <2.l and FEV1 <2.l/sec. The risk ratio for PCF <270 l/min when FVC <2.1 l is 4.80 (1.72-13.40) and when FEV1 <2.1 l/sec is 3.94 (1.43-10.85). In children with DMD, PCF should be measured when FVC <2.1 l or FEV1 <2.1 l/sec, so that techniques to assist with mucociliary clearance can be effectively used.

Adolescent↗

PubMed2005

Spirometry is affected by intelligence and behavior in Duchenne muscular dystrophy.

Children with Duchenne muscular dystrophy (DMD) have progressive respiratory muscle weakness. Spirometry monitors progress, but is effort-dependent. Intelligence quotients (IQ) average one standard deviation below normal, and behavioral disturbance is common. Our aim was to assess if impaired intelligence or behavior influences spirometry in children with DMD, and if computerized visual incentives (CVI) are beneficial. Forty-seven boys with DMD, of mean age 12.6 years (range, 6-19), were recruited. Full-scale, performance, and verbal IQ, and parent-and-teacher-reported oppositional behavior scores, were recorded. Each was divided into moderate, mild, and no impairment groups. A randomized crossover design was applied to performing spirometry with or without CVI first. A Jaeger Masterscope (version 4.60) was used. Linear regression defined the relationship between spirometry and both IQ and behavior scores. The paired Student's t- test compared spirometry performed with and without CVI for the overall group and subgroups. Boys with DMD can adequately perform spirometry. There is an association between %FEV1 and %FVC with full-scale (r = 0.50, P = 0.002; r = 0.49, P = 0.003, respectively), performance (r = 0.68, P < 0.0005; r = 0.68, P < 0.0005, respectively) and verbal (r = 0.39, P = 0.043; r = 0.36, P = 0.037, respectively) IQ, but not with parent (P = 0.77, P = 0.70, respectively) or teacher (P = 0.90, P = 0.90, respectively)-reported oppositional behavior scores. The effect of CVI was significant in those with moderate full-scale (P = 0.03), performance (P = 0.002), and verbal (P = 0.02) intellectual impairment, and moderately severe teacher-reported oppositional behavior (P = 0.02). In conclusion, spirometry results are related to intelligence in DMD. Using CVI improves the FVC obtained in those with moderate intellectual or behavioral impairment.

Adolescent↗

PubMed2004

Height prediction from ulna length.

Height is fundamental to assessing growth and nutrition, calculating body surface area, and predicting pulmonary function in childhood. Its measurement is hindered by muscle weakness, joint, or spinal deformity. Arm span has been used as a substitute, but is inaccurate. The objective of the study was to identify a limb measurement that precisely and reproducibly predicts height in childhood. Males (n=1144) and females (n=1199), aged 5 years 4 months to 19 years 7 months, without disability were recruited from Melbourne schools. Height, arm span, ulna, forearm, tibia, and lower leg lengths were measured with a Harpenden stadiometer and anthropometer. Prediction equations for height based on ulna length (U) and age in years (A) were developed using linear regression. Ulna centile charts were developed by the LMS method. For males, height (cm)=4.605U+1.308A+28.003 (R2=0.96); for females, height (cm)=4.459U+1.315A+31.485 (R2=0.94). Intra- and inter-observer variability was 0.41% and 0.61% relative to the mean, respectively. Height prediction equations from tibia, forearm, and lower leg length were calculated. We show that ulna measurement is reproducible and precisely predicts height in school-age children. It appears to be superior to arm span measurement when neuromuscular weakness, joint, or spinal deformity exists. Ulna growth charts should facilitate growth assessment.

Adolescent↗

PubMed2003

Prediction of childhood pulmonary function using ulna length.

Pulmonary function is important in neuromuscular weakness. In children, height determines normal values. Height measurement is unreliable when neuromuscular weakness or spinal deformity is present. The aim of this study was to accurately predict pulmonary function from a limb segment measurement that is precise and reproducible. Normal males (n = 1,144) and females (n = 1,199), 5.3 to 19.6 years old, were recruited from Melbourne schools. Height, weight, ulna, forearm, tibia, and lower leg lengths were measured using a Harpenden stadiometer and calipers, and electronic scales. Three maximal expiratory maneuvers were performed. Limb measurements were highly reproducible. Linear regression on log-transformed FEV1 and FVC was used to develop prediction equations from limb measurements and age. In males FEV1 = exp (0.071 x U + 0.046 x A - 1.269), r2 = 0.86; FVC = exp (0.77 x U + 0.041 x A - 1.285), r2 = 0.86 and in females FEV1 = exp (0.072 x U + 0.041 x A - 1.272), r2 = 0.84; FVC = exp (0.078 x U + 0.037 x A - 1.315), r2 = 0.83 (U refers to ulna length and A refers to age). Precision is similar to equations using height. Ulna measurement is accessible in wheelchair-bound children. Using ulna length to predict pulmonary function should facilitate respiratory assessment in children whose height is difficult to measure.

Adolescent↗