Longitudinal assessment of sputum microbiome by sequencing of the 16S rRNA gene in non-cystic fibrosis bronchiectasis patients.

BACKGROUND: Bronchiectasis is accompanied by chronic bronchial infection that may drive disease progression. However, the evidence base for antibiotic therapy is limited. DNA based methods offer better identification and quantification of microbial constituents of sputum than standard clinical culture and may help inform patient management strategies. Our study objective was to determine the longitudinal variability of the non-cystic fibrosis (CF) bronchiectasis microbiome in sputum with respect to clinical variables. Eighty-five patients with non-CF bronchiectasis and daily sputum production were recruited from outpatient clinics and followed for six months. Monthly sputum samples and clinical measurements were taken, together with additional samples during exacerbations. 16S rRNA gene sequencing of the sputum microbiota was successful for 381 samples from 76 patients and analysed in conjunction with clinical data. RESULTS: Microbial communities were highly individual in composition and stability, usually with limited diversity and often containing multiple pathogens. When compared to DNA sequencing, microbial culture had restricted sensitivity in identifying common pathogens such as Pseudomonas aeruginosa, Haemophilus influenzae, Moraxella catarrhalis. With some exceptions, community characteristics showed poor correlations with clinical features including underlying disease, antibiotic use and exacerbations, with the subject showing the strongest association with community structure. When present, the pathogens mucoid Pseudomonas aeruginosa and Haemophilus influenzae may also shape the structure of the rest of the microbial community. CONCLUSIONS: The use of microbial community analysis of sputum added to information from microbial culture. A simple model of exacerbations driven by bacterial overgrowth was not supported, suggesting a need for revision of principles for antibiotic therapy. In individual patients, the management of chronic bronchial infection may be improved by therapy specific to their microbiome, taking into account pathogen load, community stability, and acute and chronic community responses to antibiotics.

Adaption and adjustment of military spouses to overseas postings: an online forum study.

Little research has examined the impact of being an accompanying spouse on British military foreign postings. The aim of this qualitative study was to investigate the experiences of 13 military spouses from 11 different overseas locations. Data were collected via an online forum and thematic content analysis was conducted. Key findings revealed that, regardless of the location, reactions to overseas posting varied considerably and were related to the military spouse's personality and personal circumstances, as well as their relationship with family, husband and their support networks. Spouses experienced a loss of control over their lives that was in some cases psychologically distressing. The findings corroborate and extend the findings from a previous study that was limited to one location, further highlighting the need for pre-established support resources from the military and healthcare professionals to be readily accessible for all military spouses. Importantly, such support provision may also facilitate the military spouse in regaining some control over their everyday life, enhancing their well-being and the experience for the family.

Patterns and impact of comorbidity and multimorbidity among community-resident American Indian elders.

PURPOSE: The purpose of this study is to suggest a new approach to identifying patterns of comorbidity and multimorbidity. DESIGN AND METHODS: A random sample of 1,039 rural community-resident American Indian elders aged 60 years and older was surveyed. Comorbidity was investigated with four standard approaches, and with cluster analysis. RESULTS: Most respondents (57%) reported 3 or more of 11 chronic conditions. Cluster analysis revealed a four-cluster comorbidity structure: cardiopulmonary, sensory-motor, depression, and arthritis. When the impact of comorbidity on four health-related quality of life outcomes was tested, the use of the clusters offered more explanatory power than the other approaches. IMPLICATIONS: Our study improves understanding of comorbidity within an understudied and underserved population by characterizing comorbidity in conventional and novel ways. The cluster approach has four advantages over previous approaches. In particular, cluster analysis identifies specific health problems that have to be addressed to alter American Indian elders' health-related quality of life.