Impact of cough across different chronic respiratory diseases: comparison of two cough-specific health-related quality of life questionnaires

Background: Cough is a prominent symptom across a range of common chronic respiratory diseases and impacts considerably on patient health status.

Methods: We undertook a cross-sectional comparison of scores from two cough-specific health-related quality of life (HRQoL) questionnaires, the Leicester Cough Questionnaire (LCQ), and the Cough Quality of Life Questionnaire (CQLQ), together with a generic HRQoL measure, the EuroQol. Questionnaires were administered to and spirometry performed on 147 outpatients with chronic cough (n = 83), COPD (n = 18), asthma (n = 20), and bronchiectasis (n = 26).

Results: There was no significant difference in the LCQ and CQLQ total scores between groups (p = 0.24 and p = 0.26, respectively). Exploratory analyses of questionnaire subdomains revealed differences in psychosocial issues and functional impairment between the four groups (p = 0.01 and p = 0.05, respectively). CQLQ scores indicated that chronic coughers have more psychosocial issues than patients with bronchiectasis (p = 0.03) but less functional impairment than COPD patients (p = 0.04). There was a significant difference in generic health status across the four disease groups (p = 0.04), with poorest health status in COPD patients. A significant inverse correlation was observed between CQLQ and LCQ in each disease group (chronic cough r = - 0.56, p < 0.001; COPD r = - 0.49, p = 0.04; asthma r = - 0.94, p < 0.001; and bronchiectasis r = - 0.88, p < 0.001). There was no correlation between cough questionnaire scores and FEV1 in any group, although a significant correlation between EuroQol visual analog scale component and FEV1 (r = 0.639, p = 0.004) was observed in COPD patients.

Conclusion: Cough adversely affects health status across a range of common respiratory diseases. The LCQ and CQLQ can each provide important additional information concerning the impact of cough.

The impact of newly identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts

Recently, genome wide association studies (GWAS) have identified a number of single nucleotide polymorphisms (SNPs) as being associated with coronary heart disease (CHD). We estimated the effect of these SNPs on incident CHD, stroke and total mortality in the prospective cohorts of the MORGAM Project. We studied cohorts from Finland, Sweden, France and Northern Ireland (total N=33,282, including 1,436 incident CHD events and 571 incident stroke events). The lead SNPs at seven loci identified thus far and additional SNPs (in total 42) were genotyped using a case-cohort design.We estimated the effect of the SNPs on disease history at baseline, disease events during follow-up and classic risk factors. Multiple testing was taken into account using false discovery rate (FDR) analysis. SNP rs1333049 on chromosome 9p21.3 was associated with both CHD and stroke (HR5=.20, 95% CI 1.08-1.34 for incident CHD events and 1.15, 0.99-1.34 for incident stroke). SNP rs11670734 (19q12) was associated with total mortality and stroke. SNP rs2146807 (10q11.21) showed some association with the fatality of acute coronary event. SNP rs2943634 (2q36.3) was associated with high density lipoprotein (HDL) cholesterol and SNPs rs599839, rs4970834 (1p13.3) and rs17228212 (15q22.23) were associated with non-HDL cholesterol. SNPs rs2943634 (2q36.3) and rs12525353 (6q25.1) were associated with blood pressure. These findings underline the need for replication studies in prospective settings and confirm the candidacy of several SNPs that may play a role in the etiology of cardiovascular disease.