Prediction Equations of Pulmonary Function Parameters Derived from the Forced Expiratory Spirogram for Healthy Adults over 50 years old in rural area

1998 ◽  
Vol 45 (3) ◽  
pp. 536 ◽  
Author(s):  
Won Young Kim ◽  
Kwang Hyun Kim ◽  
Boung Han Youn ◽  
Seung Uk Lee ◽  
Chul Hyun Cho ◽  
...  
Keyword(s):  
Pulmonary Function ◽  
Rural Area ◽  
Healthy Adults ◽  
Prediction Equations

Abstract TP172: Pulmonary Function and White Matter Hyperintensity in Neurologically Healthy Adults

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Han-Yeong Jeong ◽  
Jin Ho Park ◽  
Hyung-Min Kwon
Keyword(s):  
Risk Factor ◽  
White Matter ◽  
Pulmonary Function ◽  
Independent Risk Factor ◽  
Small Vessel Disease ◽  
Pulmonary Function Tests ◽  
Cerebral Small Vessel Disease ◽  
Healthy Adults ◽  
White Matter Hyperintensity ◽  
Vessel Disease

Introduction: Cerebral small vessel disease (SVD) is considered as precursor lesion of many clinical outcomes including stroke and dementia. It is well established that obstructive sleep apnea or chronic obstructive pulmonary disease is an independent risk factor of stroke. However, there are few studies about the association between pulmonary function and the presence of cerebral small vessel disease. Purpose: This study aims to investigate the association between pulmonary function and cerebral SVD in healthy adults. Methods: We conducted a cross-sectional study of 1,528 neurologically healthy people (mean age 56.0±9.0; 847 men), who underwent brain MRI and pulmonary function tests (forced vital capacity (FVC), forced expiratory volume in the first second (FEV 1 )). Risk factors, anthropometric parameters and clinical information were obtained. For evaluating cerebral SVD, the presence of small silent infarction (SSI) and the volume of white matter hyperintensity (WMH) were assessed through axial T2 fluid-attenuated inversion recovery (FLAIR) sequences MRI. Cerebral microbleeds (CMBs) were evaluated through T2-weighted gradient-recalled echo MRI. Results: The prevalence of SSI and CMBs were 9.6% (147 subjects) and 4.1% (63 subjects), respectively. The mean volume of WMH was 2.8±6.2mm 3 . In multiple regression analysis that controlled for age, sex, and smoking status, FVC had a significant negative correlation with WMH volume (R 2 =0.005, β=-0.109, p=0.002), and FEV 1 /FVC ratio had a significant correlation with WMH volume (R 2 =0.006, β=0.083, p=<0.001). In multivariable logistic analysis, after adjusting age, gender, hypertension, and glucose, FVC was negatively associated with the presence of SSI (adjusted OR 0.63, 95% CI 0.44-0.91), and FEV 1 /FVC ratio was positively associated with the presence of SSI (adjusted OR 1.05, 95% CI 1.02-1.08). The presence of CMBs was not associated with any factor of pulmonary function tests. Conclusions: The results from our study suggest that lower pulmonary function, especially FVC, was found to be an independent risk factor of cerebral SVD in neurologically healthy adults.

Abstract P119: Non-exercise Cardiorespiratory Fitness Prediction Equations: Accuracy Over Time in Apparently Healthy Adults

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
James E Peterman ◽  
Matthew Harber ◽  
Mary Imboden ◽  
Mitchell Whaley ◽  
bradley fleenor ◽  
...  
Keyword(s):  
Cardiorespiratory Fitness ◽  
Heart Association ◽  
Healthy Adults ◽  
Prediction Equations ◽  
Exercise Tests ◽  
Average Percentage ◽  
The Impact ◽  
Over Time ◽  
Apparently Healthy

Introduction: Mortality risk predictions are improved with routine assessment of cardiorespiratory fitness (CRF). Accordingly, an American Heart Association Scientific Statement suggests routine clinical assessment of CRF in apparently healthy adults minimally using non-exercise prediction equations, which can be calculated from common health metrics. However, no study has assessed the ability of non-exercise CRF prediction equations to accurately detect longitudinal changes. Hypothesis: Changes in estimated CRF (eCRF) would be related to directly-measured changes, yet appreciable misclassification would occur at the individual level. Methods: The sample included 987 apparently healthy adults (324 females; mean±SD age 43.1±10.4 years) who completed 2 cardiopulmonary exercise tests (CPX) at least 3 months apart (3.2±5.4 years follow-up). The change in eCRF from 27 distinct non-exercise prediction equations was compared to the change in directly-measured CRF determined from CPX. A change of ≥5% was used to classify participants as having a directional increase or decrease in CRF. Analysis included Pearson product moment correlations, standard error of estimate (SEE) values, the Benjamini-Hochberg procedure to compare eCRF with directly-measured CRF, and chi-squared tests to examine the impact of follow-up time on the percentage of participants correctly identified as having a directional increase or decrease in CRF. Results: The change in eCRF from each equation was correlated to the change in directly-measured CRF ( P <0.001) with R 2 values ranging from 0.06-0.43 and SEE values ranging from 0.9-5.9 ml·kg -1 ·min -1 . For 16 of the 27 equations, the change in eCRF was significantly different from the change in directly-measured CRF. When classifying directional changes, the prediction equations correctly categorized an average of 54% of individuals as having increased, decreased, or no change in CRF. When examining the influence of follow-up time, the average percentage of individuals correctly classified as having a directional increase in CRF was greater when the time between tests was ≤8months (54%) compared to ≥2years (28%). In contrast, the average percentage correctly classified as having a directional decrease in CRF was lower with tests ≤8months apart (8%) compared to ≥2years (73%). Conclusions: As hypothesized, discernible variability was found in the accuracy between non-exercise prediction equations and the ability of equations to accurately assess changes in directly-measured CRF over time. Considering the appreciable error that prediction equations had with detecting even directional changes in CRF, these results suggest eCRF may have limited clinical utility.

scholarly journals Acute and daily effects of repeated voluntary hyperpnea on pulmonary function in healthy adults

2020 ◽  
Vol 120 (3) ◽  
pp. 625-633
Author(s):  
Eden Towers ◽  
Adriane Morrison-Taylor ◽  
Jennifer Demar ◽  
Andrew Klansky ◽  
Kasie Craig ◽  
...  
Keyword(s):  
Pulmonary Function ◽  
Healthy Adults

scholarly journals P133 Prediction equations for pulmonary function values in healthy Iranian children (aged 4-10 years)

Thorax ◽  
2010 ◽  
Vol 65 (Suppl 4) ◽  
pp. A134-A134
Author(s):  
M. H. Boskabady ◽  
S. Tababaei ◽  
S. Shahmohammadi ◽  
O. Mohammadi ◽  
P. Saremi ◽  
...  
Keyword(s):  
Pulmonary Function ◽  
Prediction Equations ◽  
Iranian Children

scholarly journals Lung Function Testing and Prediction Equations in Adult Population from Maputo, Mozambique

2020 ◽  
Vol 17 (12) ◽  
pp. 4535
Author(s):  
Olena Ivanova ◽  
Celso Khosa ◽  
Abhishek Bakuli ◽  
Nilesh Bhatt ◽  
Isabel Massango ◽  
...  
Keyword(s):  
Lung Function ◽  
Pulmonary Function ◽  
South African ◽  
Adult Population ◽  
Forced Expiratory Volume ◽  
Prediction Equations ◽  
Lung Function Testing ◽  
African Countries ◽  
Cross Sectional ◽  
Function Testing

Background: Local spirometric prediction equations are of great importance for interpreting lung function results and deciding on the management strategies for respiratory patients, yet available data from African countries are scarce. The aim of this study was to collect lung function data using spirometry in healthy adults living in Maputo, Mozambique and to derive first spirometric prediction equations for this population. Methods: We applied a cross-sectional study design. Participants, who met the inclusion criteria, underwent a short interview, anthropometric measurements, and lung function testing. Different modelling approaches were followed for generating new, Mozambican, prediction equations and for comparison with the Global Lung Initiative (GLI) and South African equations. The pulmonary function performance of participants was assessed against the different reference standards. Results: A total of 212 males and females were recruited, from whom 155 usable spirometry results were obtained. The mean age of participants was 35.20 years (SD 10.99) and 93 of 155 (59.35%) were females. The predicted values for forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and the FEV1/FVC ratio based on the Mozambican equations were lower than the South African—and the GLI-based predictions. Conclusions: This study provides first data on pulmonary function in healthy Mozambican adults and describes how they compare to GLI and South African reference values for spirometry.

scholarly journals Effects of the Use of Air Purifier on Indoor Environment and Respiratory System among Healthy Adults

2020 ◽  
Vol 17 (10) ◽  
pp. 3687
Author(s):  
Yoshiko Yoda ◽  
Kenji Tamura ◽  
Sho Adachi ◽  
Naruhito Otani ◽  
Shoji F. Nakayama ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Pulmonary Function ◽  
Respiratory Health ◽  
Fine Particulate Matter ◽  
Forced Expiratory Volume ◽  
Healthy Adults ◽  
Air Purification ◽  
Aerodynamic Diameter ◽  
Air Purifier ◽  
Indoor Pm2.5

Air purifiers have become popular among ordinary families. However, it remains controversial whether indoor air purification improves the respiratory health of healthy adults. A randomized crossover intervention study was conducted with 32 healthy individuals. The subjects were categorized into two groups. One group continuously used true air purifiers, and the other followed with sham air purifiers for 4 weeks. Following this first intervention, all the subjects underwent a 4-week washout period and continued with the second 4-week intervention with the alternate air purifiers. We collected fine particulate matter (PM) ≤ 2.5 µm in aerodynamic diameter (PM2.5), coarse particulate matter between 2.5 and 10 µm in aerodynamic diameter (PM10–2.5) and ozone (O3). The subjects’ pulmonary function and fractional exhaled nitric oxide (FeNO) were measured during the study period. The indoor PM2.5 concentrations decreased by 11% with the true air purifiers compared to those with sham air purifiers. However, this decrease was not significant (p = 0.08). The air purification did not significantly improve the pulmonary function of the study subjects. In contrast, an increase in the indoor PM10–2.5 and O3 concentration led to a significant decrease in the forced expiratory volume in one second (FEV1.0)/forced vital capacity (FVC) and maximal mid-expiratory flow (MMEF), respectively. In conclusion, air purification slightly improved the indoor PM2.5 concentrations in ordinary homes but had no demonstrable impact on improving health.

Comparison of non-exercise cardiorespiratory fitness prediction equations in apparently healthy adults

2019 ◽  
pp. 204748731988124 ◽  
Author(s):  
James E Peterman ◽  
Mitchell H Whaley ◽  
Matthew P Harber ◽  
Bradley S Fleenor ◽  
Mary T Imboden ◽  
...  
Keyword(s):  
Cardiorespiratory Fitness ◽  
Standard Error ◽  
Prediction Equation ◽  
Cardiopulmonary Exercise Test ◽  
Healthy Adults ◽  
Future Research ◽  
Prediction Equations ◽  
Test Analysis ◽  
Using Data ◽  
Apparently Healthy

Aims A recent scientific statement suggests clinicians should routinely assess cardiorespiratory fitness using at least non-exercise prediction equations. However, no study has comprehensively compared the many non-exercise cardiorespiratory fitness prediction equations to directly-measured cardiorespiratory fitness using data from a single cohort. Our purpose was to compare the accuracy of non-exercise prediction equations to directly-measured cardiorespiratory fitness and evaluate their ability to classify an individual's cardiorespiratory fitness. Methods The sample included 2529 tests from apparently healthy adults (42% female, aged 45.4 ± 13.1 years (mean±standard deviation). Estimated cardiorespiratory fitness from 28 distinct non-exercise prediction equations was compared with directly-measured cardiorespiratory fitness, determined from a cardiopulmonary exercise test. Analysis included the Benjamini–Hochberg procedure to compare estimated cardiorespiratory fitness with directly-measured cardiorespiratory fitness, Pearson product moment correlations, standard error of estimate values, and the percentage of participants correctly placed into three fitness categories. Results All of the estimated cardiorespiratory fitness values from the equations were correlated to directly measured cardiorespiratory fitness ( p < 0.001) although the R2 values ranged from 0.25–0.70 and the estimated cardiorespiratory fitness values from 27 out of 28 equations were statistically different compared with directly-measured cardiorespiratory fitness. The range of standard error of estimate values was 4.1–6.2 ml·kg−1·min−1. On average, only 52% of participants were correctly classified into the three fitness categories when using estimated cardiorespiratory fitness. Conclusion Differences exist between non-exercise prediction equations, which influences the accuracy of estimated cardiorespiratory fitness. The present analysis can assist researchers and clinicians with choosing a non-exercise prediction equation appropriate for epidemiological or population research. However, the error and misclassification associated with estimated cardiorespiratory fitness suggests future research is needed on the clinical utility of estimated cardiorespiratory fitness.

Sign in / Sign up

Export Citation Format

Share Document