02784nas a2200181 4500008004100000022001400041245010000055210006900155260001300224300001000237490000800247520221700255100002702472700002302499700002402522700002002546856003602566 2018 eng d a1532-306400aSpirometric impairments, cardiovascular outcomes, and noncardiovascular death in older persons.0 aSpirometric impairments cardiovascular outcomes and noncardiovas c2018 Apr a40-470 v1373 a

BACKGROUND: In prior work involving older persons, the reported associations of spirometric impairments with cardiovascular outcomes may have been confounded by age-related changes in lung function. Hence, using more age-appropriate spirometric criteria from the Global Lung Function Initiative (GLI), we have evaluated the associations of spirometric impairments, specifically restrictive-pattern and airflow-obstruction, with cardiovascular death (CV-death) and hospitalization (CV-hospitalization). In these analyses, we also evaluated the competing outcome of noncardiovascular death (nonCV-death) and calculated measures of relative and absolute risk.

METHODS: Our study sample was drawn from the Cardiovascular Health Study (CHS), including 4232 community-dwelling white persons aged ≥65 years. Multivariable regression models included the following baseline predictors: GLI-defined restrictive-pattern and airflow-obstruction, age, male gender, obesity, waist circumference, current smoker status, ≥10 pack-years of smoking, hypertension, dyslipidemia, diabetes, and cardiovascular and cerebrovascular disease. Outcomes included adjudicated CV-death, CV-hospitalization, and nonCV-death, ascertained over 10 years of follow-up. Measures of association included hazard ratios (HRs), rate ratios (RRs), and average attributable fraction (AAF), each with 95% confidence intervals.

RESULTS: Restrictive-pattern and airflow-obstruction were associated with CV-death (adjusted HRs: 1.57 [1.18, 2.09] and 1.29 [1.04, 1.60]) and with nonCV-death (adjusted HRs: 2.10 [1.63, 2.69] and 1.79 [1.51, 2.12]), respectively. Airflow-obstruction, but not restrictive-pattern, was also associated with CV-hospitalization (adjusted RRs: 1.18 [1.02, 1.36] and 1.20 [0.96, 1.50], respectively). The adjusted AAFs of restrictive-pattern and airflow-obstruction were 1.68% (0.46, 3.06) and 2.35% (0.22, 4.72) for CV-death, and 3.44% (1.97, 5.08) and 7.77% (5.15, 10.60) for nonCV-death, respectively.

CONCLUSION: Assessment of GLI-defined spirometric impairments contributes to broad geriatric risk stratifications for both cardiovascular and non-cardiovascular outcomes.

1 aFragoso, Carlos, A Vaz1 aVan Ness, Peter, H1 aMurphy, Terrence, E1 aMcAvay, Gail, J uhttps://chs-nhlbi.org/node/767302481nas a2200169 4500008004100000022001400041245010400055210006900159260001300228300001200241490000700253520194500260100002702205700002302232700002002255856003602275 2020 eng d a1943-365400aFEV as a Standalone Spirometric Predictor and the Attributable Fraction for Death in Older Persons.0 aFEV as a Standalone Spirometric Predictor and the Attributable F c2020 Feb a217-2260 v653 a

BACKGROUND: Commonly used thresholds for staging FEV have not been evaluated as standalone spirometric predictors of death in older persons. Specifically, the proportion of deaths attributed to a reduced FEV, when staged by commonly used thresholds in L, percent of predicted (% pred), and Z scores, has not been previously reported.

METHODS: In 4,232 white persons ≥ 65 y old, sampled from the Cardiovascular Health Study, FEV was stratified as stage 1 (FEV ≥ 2.00 L, ≥80% pred, and Z score ≥-1.64), stage 2 (FEV 1.50-1.99 L, 50-79%pred, and Z score -2.55 to -1.63), and stage 3 (FEV < 1.50 L, < 50% pred, and Z score < -2.55). Notably, a Z score threshold of -1.64 defines normal-for-age lung function as the lower limit of normal (ie, 5th percentile of distribution), and accounts for differences in age, sex, height, and ethnicity. Next, adjusted odds ratios and average attributable fractions for 10-y all-cause mortality were calculated, comparing FEV stages 2 and 3 against stage 1, expressed in L, % pred, and Z scores. The average attributable fraction estimates the proportion of deaths attributed to a predictor by combining the prevalence of the predictor with the relative risk of death conferred by that predictor.

RESULTS: FEV stage 2 and 3 in L, % pred, and Z scores yielded similar adjusted odds ratios of death: 1.40-1.51 for stage 2 and 2.35-2.66 for stage 3. Conversely, FEV stages 2 and 3 in L, % pred, and Z scores differed in prevalence: 12.8-28.6% for stage 2 and 6.4-17.5% for stage 3, and also differed in the adjusted average attributable fraction for death: 3.2-6.4% for stage 2 and 4.5-9.1% for stage 3.

CONCLUSIONS: In older persons, the proportion of deaths attributed to a reduced FEV is best stratified by Z score staging thresholds because these yield a similar relative risk of death but a more age- and sex-appropriate prevalence of FEV stage.

1 aFragoso, Carlos, A Vaz1 aVan Ness, Peter, H1 aMcAvay, Gail, J uhttps://chs-nhlbi.org/node/8291