| Literature DB >> 26392057 |
Lystra P Hayden1,2, Brian D Hobbs3,4, Robyn T Cohen5, Robert A Wise6, William Checkley7, James D Crapo8, Craig P Hersh9,10.
Abstract
BACKGROUND: Development of adult respiratory disease is influenced by events in childhood. The impact of childhood pneumonia on chronic obstructive pulmonary disease (COPD) is not well defined. We hypothesize that childhood pneumonia is a risk factor for reduced lung function and COPD in adult smokers.Entities:
Mesh:
Year: 2015 PMID: 26392057 PMCID: PMC4578796 DOI: 10.1186/s12931-015-0273-8
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Characteristics of Subjects With and Without History of Childhood Pneumonia
| Childhood Pneumonia | No Childhood Pneumonia |
| |||
|---|---|---|---|---|---|
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| DEMOGRAPHIC | |||||
| Male gender (%) | 437 | (51.2 %) | 4990 | (53.6 %) | 0.18 |
| Mean age, years (SD) | 61.7 | (8.9) | 59.4 | (9.0) | <0.001c |
| Non-Hispanic white (%) | 693 | (81.1 %) | 6073 | (65.3 %) | <0.001 |
| SMOKE EXPOSURE | |||||
| In-utero smoke exposure (%)a | 206 | (33.0 %) | 2082 | (30.2 %) | 0.18 |
| Lived with smoker in childhood (%)a | 732 | (85.7 %) | 7618 | (81.9 %) | 0.006 |
| Mean age started smoking, years (SD) | 16.5 | (4.4) | 16.9 | (4.7) | 0.06 |
| Pack-years of smoking (SD) | 49.8 | (28.4) | 43.7 | (24.6) | <0.001 |
| Current smoking (%) | 379 | (44.4 %) | 5011 | (53.9 %) | <0.001 |
| PNEUMONIA HISTORY | |||||
| Ever had pneumonia (%) | 854 | (100.0 %) | 2979 | (33.9 %) | <0.001 |
| Diagnosed with pneumonia by healthcare provider (%)a | 821 | (96.1 %) | 2920 | (31.4 %) | <0.001 |
| Pneumonia childhood age unknown (%) | 378 | (44.3 %) | 0 | (0.0 %) | <0.001 |
| Age first pneumonia in years, mean (SD)a | 7.7 | (4.5) | 42.5 | (15.6) | <0.001 |
| Lifetime pneumonia episodes (SD)a | 3.9 | (4.9) | 2.5 | (3.0) | <0.001 |
Abbreviations: SD standard deviation
aSubjects included are fewer than total subjects due to subject survey response being missing or unclassifiable
bUnivariate analysis with chi-square or Wilcoxon rank sum test unless otherwise specifiedc t test
COPD in Subjects With and Without History of Childhood Pneumonia
| Childhood Pneumonia | No Childhood Pneumonia | Impact of Childhood Pneumoniaa | |||||
|---|---|---|---|---|---|---|---|
|
|
| OR | (95 % CI) |
| |||
| COPD, GOLD 2-4 | 405 | (59.0 %) | 3267 | (44.4 %) | 1.40 | (1.17, 1.66) | <0.001 |
| COPD, GOLD 2-4 + adjusted for childhood asthma | 1.30 | (1.09, 1.55) | 0.003 | ||||
Abbreviations: COPD chronic obstructive pulmonary disease; GOLD Global Initiative for Chronic Obstructive Lung Disease
aEach row represents a separate regression model, odds ratio (OR) and 95 % confidence interval (CI) for logistic regression
bCovariates for all analyses = age at enrollment in years + gender + race + pack years
Respiratory Symptoms and Disease in Subjects With and Without History of Childhood Pneumonia
| Childhood Pneumonia | No Childhood Pneumonia | Impact of Childhood Pneumoniab | |||||
|---|---|---|---|---|---|---|---|
|
|
| OR (95 % CI) or β (SE)c |
| ||||
| Chronic bronchitis (%) | 214 | (25.1 %) | 1730 | (18.6 %) | 1.40 | (1.18, 1.66) | <0.001e |
| Number of COPD exacerbations in past year (SD) | 0.65 | (1.2) | 0.36 | (0.9) | 0.18 | (0.03) | <0.001f |
| Had a severe COPD exacerbation in past year (%) | 140 | (16.4 %) | 1063 | (11.4 %) | 1.28 | (1.04, 1.58) | 0.02f |
| Cardiovascular Disease (%)a | 179 | (21.0 %) | 1455 | (15.6 %) | 1.20 | (1.00-1.44) | 0.047 |
| Diagnosed with asthma by healthcare provider (%)a | 239 | (28.0 %) | 1508 | (16.3 %) | 2.15 | (1.83, 2.53) | <0.001 |
| Childhood asthma (%)a | 137 | (16.0 %) | 586 | (6.3 %) | 3.30 | (2.68, 4.05) | <0.001 |
| SGRQ Score, Total (SD)a | 32.4 | (24.0) | 26.9 | (22.8) | 2.32 | (0.67) | <0.001g |
| MMRC Dyspnea Scale, 0-4 (SD)a | 1.6 | (1.5) | 1.3 | (1.4) | 0.12 | (0.04) | 0.006g |
Abbreviations: COPD chronic obstructive pulmonary disease; SD standard deviation; SGRQ St. George’s Respiratory Questionnaire; MMRC Modified Medical Research Council
aSubjects included are fewer than total subjects due to subject survey response being missing or unclassifiable
bEach row represents a separate regression model
cOdds ratio (OR), 95 % confidence interval (CI) for logistic regression; beta coefficient (β), standard error (SE) for linear regression
dCovariates for all analyses = age at enrollment in years + gender + race + pack-years
fAdditional covariates: ecurrent smoker; current smoker & FEV1 % predicted; gFEV1 % predicted
Fig. 1Lung Function. Decreased lung function with history of childhood pneumonia. Post-bronchodilator spirometry values are shown. Abbreviations: FEV1 = forced expiratory volume in the first second; FVC = forced vital capacity
Effect of Childhood Pneumonia on Lung Function
| Childhood Pneumonia | No Childhood Pneumonia | Impact of Childhood Pneumoniaa | |||
|---|---|---|---|---|---|
|
|
| β | SE |
| |
| FEV1 post-BD % predicted (SD) | 69.1 % (25.7) | 77.1 % (25.4) | −6.22 | (0.88) | <0.001 |
| FVC post-BD % predicted (SD) | 82.7 % (18.6) | 87.4 % (18.3) | −3.89 | (0.65) | <0.001 |
| FEV1/FVC post-BD (SD) | 0.63 (0.17) | 0.67 (0.16) | −0.02 | (0.005) | <0.001c |
Abbreviations: FEV 1 forced expiratory volume in the first second; FVC forced vital capacity; post-BD post bronchodilator
aEach row represents a separate regression model, beta coefficient (β) and standard error (SE) for linear regression
bCovariate used for all analyses = pack yearscAdditional covariates = age at enrollment + gender + race + height
Fig. 2Chest CT. Airway changes on chest CT scans are associated with childhood pneumonia
Effect of Childhood Pneumonia on Chest CT Parameters
| Impact of Childhood Pneumoniab | |||
|---|---|---|---|
| βc | SE |
| |
| Wall Area %, Segmental | 0.46 | (0.12) | <0.001 |
| Wall Area %, Subsegmentala | 0.47 | (0.16) | 0.003 |
| SRWA-Pi10 | 0.02 | (0.005) | <0.001 |
| Emphysema % (-950 HU) | 0.18 | (0.32) | 0.57 |
| Gas Trapping %, expiratory scan (-856HU) | 1.97 | (0.72) | 0.006 |
| Total Lung Capacity (L) | 0.001 | (0.04) | 0.99 |
Abbreviations: CT computed tomography; HU Hounsfield units; SRWA-Pi10 square root wall area of a hypothetical airway with 10mm internal perimeter
aData only available for a limited portion of the cohort
bEach row represents a separate regression model
cBeta coefficient (β) and standard error (SE) for linear regression
dCovariates used = age at enrollment in years + gender + race + pack-years + body mass index + CT scanner model