Limits...
Novel equations better predict lung age: a retrospective analysis using two cohorts of participants with medical check-up examinations in Japan.

Ishida Y, Ichikawa YE, Fukakusa M, Kawatsu A, Masuda K - NPJ Prim Care Respir Med (2015)

Bottom Line: As a result of the linear regression analysis for forced expiratory volume in 1 s (FEV1), spirometric variables using forced vital capacity (FVC) improved the adjusted R(2) values to greater than 0.8.On the basis of the scatter plots between chronological age and SDL age, the best model included the equations using FEV1 and %FVC in females and males (R(2)=0.66 and 0.55, respectively), which was confirmed by the validation cohort.This study produced novel SDL age equations for Japanese adults using data from a large number of healthy never-smokers with both normal spirometric measurements and BMIs.

View Article: PubMed Central - PubMed

Affiliation: Pediatric Medical Center, Ehime Prefectural Central Hospital, Ehime, Japan.

ABSTRACT

Background: The lung age equations developed by the Japanese Respiratory Society encounter several problems when being applied in a clinical setting.

Aims: To establish novel spirometry-derived lung age (SDL age) equations using data from a large number of Japanese healthy never-smokers with normal spirometric measurements and normal body mass indices (BMIs).

Methods: The participants had undergone medical check-ups at the Center for Preventive Medicine of St Luke's International Hospital between 2004 and 2012. A total of 15,238 Japanese participants (5,499 males and 9,739 females) were chosen for the discovery cohort. The other independent 2,079 individuals were selected for the validation cohort. The original method of Morris and Temple was applied to the discovery cohort.

Results: As a result of the linear regression analysis for forced expiratory volume in 1 s (FEV1), spirometric variables using forced vital capacity (FVC) improved the adjusted R(2) values to greater than 0.8. On the basis of the scatter plots between chronological age and SDL age, the best model included the equations using FEV1 and %FVC in females and males (R(2)=0.66 and 0.55, respectively), which was confirmed by the validation cohort. The following equations were developed: SDL age (females)=0.84×%FVC+50.2-40×FEV1 (l) and SDL age (males)=1.00×%FVC+50.7-33.3×FEV1 (l).

Conclusions: This study produced novel SDL age equations for Japanese adults using data from a large number of healthy never-smokers with both normal spirometric measurements and BMIs.

Show MeSH

Related in: MedlinePlus

The box plots of lung age deficit (SDL ages minus chronological age) sorted by age in Group 1. Box and whisker plots of SDL age deficit (SDL ages minus chronological age) according to age in Group 1. SDL age was determined in females and males according to the JRS equations (a and b, respectively) and model 2 equations (c and d, respectively). The bottom and top of the box represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the minimum and maximum of all data within 1.5 times the interquartile range from the bottom or the top of the box. Circles represent outliers.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4373493&req=5

fig3: The box plots of lung age deficit (SDL ages minus chronological age) sorted by age in Group 1. Box and whisker plots of SDL age deficit (SDL ages minus chronological age) according to age in Group 1. SDL age was determined in females and males according to the JRS equations (a and b, respectively) and model 2 equations (c and d, respectively). The bottom and top of the box represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the minimum and maximum of all data within 1.5 times the interquartile range from the bottom or the top of the box. Circles represent outliers.

Mentions: The box and whisker plots of lung age deficit (lung age minus chronological age) sorted by age group are shown in Figure 3. Compared with model 3, the lung age deficit values from the JRS equations were more widely distributed, indicating a larger discrepancy between SDL age and chronological age when using the JRS method. In addition, the lung age deficit values in males tended to be positive in the JRS method, suggesting an overestimation of SDL age in all age groups, whereas the lung age deficit values using model 3 were distributed around zero in all age groups, suggesting appropriate prediction of SDL age in all age groups.


Novel equations better predict lung age: a retrospective analysis using two cohorts of participants with medical check-up examinations in Japan.

Ishida Y, Ichikawa YE, Fukakusa M, Kawatsu A, Masuda K - NPJ Prim Care Respir Med (2015)

The box plots of lung age deficit (SDL ages minus chronological age) sorted by age in Group 1. Box and whisker plots of SDL age deficit (SDL ages minus chronological age) according to age in Group 1. SDL age was determined in females and males according to the JRS equations (a and b, respectively) and model 2 equations (c and d, respectively). The bottom and top of the box represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the minimum and maximum of all data within 1.5 times the interquartile range from the bottom or the top of the box. Circles represent outliers.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4373493&req=5

fig3: The box plots of lung age deficit (SDL ages minus chronological age) sorted by age in Group 1. Box and whisker plots of SDL age deficit (SDL ages minus chronological age) according to age in Group 1. SDL age was determined in females and males according to the JRS equations (a and b, respectively) and model 2 equations (c and d, respectively). The bottom and top of the box represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the first and third quartiles, and the thick band inside the box represents the median. The ends of the whiskers represent the minimum and maximum of all data within 1.5 times the interquartile range from the bottom or the top of the box. Circles represent outliers.
Mentions: The box and whisker plots of lung age deficit (lung age minus chronological age) sorted by age group are shown in Figure 3. Compared with model 3, the lung age deficit values from the JRS equations were more widely distributed, indicating a larger discrepancy between SDL age and chronological age when using the JRS method. In addition, the lung age deficit values in males tended to be positive in the JRS method, suggesting an overestimation of SDL age in all age groups, whereas the lung age deficit values using model 3 were distributed around zero in all age groups, suggesting appropriate prediction of SDL age in all age groups.

Bottom Line: As a result of the linear regression analysis for forced expiratory volume in 1 s (FEV1), spirometric variables using forced vital capacity (FVC) improved the adjusted R(2) values to greater than 0.8.On the basis of the scatter plots between chronological age and SDL age, the best model included the equations using FEV1 and %FVC in females and males (R(2)=0.66 and 0.55, respectively), which was confirmed by the validation cohort.This study produced novel SDL age equations for Japanese adults using data from a large number of healthy never-smokers with both normal spirometric measurements and BMIs.

View Article: PubMed Central - PubMed

Affiliation: Pediatric Medical Center, Ehime Prefectural Central Hospital, Ehime, Japan.

ABSTRACT

Background: The lung age equations developed by the Japanese Respiratory Society encounter several problems when being applied in a clinical setting.

Aims: To establish novel spirometry-derived lung age (SDL age) equations using data from a large number of Japanese healthy never-smokers with normal spirometric measurements and normal body mass indices (BMIs).

Methods: The participants had undergone medical check-ups at the Center for Preventive Medicine of St Luke's International Hospital between 2004 and 2012. A total of 15,238 Japanese participants (5,499 males and 9,739 females) were chosen for the discovery cohort. The other independent 2,079 individuals were selected for the validation cohort. The original method of Morris and Temple was applied to the discovery cohort.

Results: As a result of the linear regression analysis for forced expiratory volume in 1 s (FEV1), spirometric variables using forced vital capacity (FVC) improved the adjusted R(2) values to greater than 0.8. On the basis of the scatter plots between chronological age and SDL age, the best model included the equations using FEV1 and %FVC in females and males (R(2)=0.66 and 0.55, respectively), which was confirmed by the validation cohort. The following equations were developed: SDL age (females)=0.84×%FVC+50.2-40×FEV1 (l) and SDL age (males)=1.00×%FVC+50.7-33.3×FEV1 (l).

Conclusions: This study produced novel SDL age equations for Japanese adults using data from a large number of healthy never-smokers with both normal spirometric measurements and BMIs.

Show MeSH
Related in: MedlinePlus