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Original Research

Development of a spirometry T-score in the general population

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Pages 369-379 | Published online: 23 Feb 2016

Figures & data

Figure 1 Probability of all-cause death (AF), respiratory death (G), COPD death (H), and COPD-related health care utilization (I).

Notes: Probability of all-cause death after 10 years was shown according to FEV1 expressed in T-score, Z-score, and % of predicted value (AC) and according to the ratio of FEV1/FVC expressed in T-score, Z-score, and the ratio itself (DF) in the 9,101 US subjects. Probability of respiratory death and COPD death after 10 years was shown according to FEV1 T-score (G and H) in the 9,101 US subjects. Probability of COPD-related health care utilization during 4 years of follow-up was shown according to FEV1 T-score (I) in the 1,894 Korean subjects.
Abbreviations: FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; F–U, follow-up.
Figure 1 Probability of all-cause death (A–F), respiratory death (G), COPD death (H), and COPD-related health care utilization (I).

Table 1 Baseline characteristics of subjects included in this study

Figure 2 Receiver operating characteristic (ROC) curves for the prediction of all-cause death (A and E), respiratory death (B and F), COPD death (C and G), and COPD-related health care utilization (D and H).

Notes: ROC curves for the prediction of death were shown according to FEV1 expressed in T-score, Z-score, and % of predicted value (AC) and according to the ratio of FEV1/FVC expressed in T-score, Z-score, and the ratio itself (EG) in the 9,101 US subjects. ROC curves for the prediction of COPD-related health care utilization were shown according to FEV1 expressed in T-score, Z-score, and % of predicted value (D) and according to the ratio of FEV1/FVC expressed in T-score, Z-score, and the ratio (H) in the 1,894 Korean subjects.
Abbreviations: AUC, area under curve; CI, confidence interval; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; F–U, follow-up.
Figure 2 Receiver operating characteristic (ROC) curves for the prediction of all-cause death (A and E), respiratory death (B and F), COPD death (C and G), and COPD-related health care utilization (D and H).

Table 2 Various criteria of abnormal spirometry for the prediction of all-cause death, respiratory death, COPD death, and COPD-related health care utilization

Figure 3 Kaplan–Meier survival curves for all-cause death (A), respiratory death (B), and COPD death (C) and also for COPD-related health care utilization (D).

Notes: A total of 9,101 subjects in the US (AC) and 1,894 subjects in South Korea (D) were stratified by FEV1 T-score. All-cause death, respiratory death, COPD death, and COPD-related health care utilization differed significantly among the four groups (P<0.001 by the log-rank tests).
Abbreviation: FEV1, forced expiratory volume in 1 second.
Figure 3 Kaplan–Meier survival curves for all-cause death (A), respiratory death (B), and COPD death (C) and also for COPD-related health care utilization (D).

Figure S1 Flow of subjects’ selection from the US NHANES III.

Abbreviation: NHANES III, Third National Health and Nutrition Examination Survey.

Figure S1 Flow of subjects’ selection from the US NHANES III.Abbreviation: NHANES III, Third National Health and Nutrition Examination Survey.

Figure S2 Flow of subjects’ selection from the Korean NHANES II.

Abbreviation: NHANES II, Second National Health and Nutritional Examination Survey.

Figure S2 Flow of subjects’ selection from the Korean NHANES II.Abbreviation: NHANES II, Second National Health and Nutritional Examination Survey.

Table S1 Selection of “healthy” subjects for the development of spirometry reference values for Koreans

Table S2 Various criteria of abnormal spirometry for the prediction of COPD-related health care utilization (COPD utilization)