The negative impact of chronic rhinosinusitis on the health-related quality of life among adult patients with cystic fibrosis.

BACKGROUND: With improved survival in cystic fibrosis (CF) patients, it is crucial to evaluate the impact of chronic co-morbidities such as chronic rhinosinusitis (CRS). The objectives were 1) To determine the prevalence of CRS with a large series of CF patients 2) To evaluate the impact of CRS on the Health-Related Quality of Life (HRQoL) of CF patients and 3) To compare CRS-specific, CF-specific and general HRQoL instruments. METHODS: Consecutive CF patients from the Toronto Adult Cystic Fibrosis Centre were recruited between March 2018 and January 2020. Participants completed the 22-Item Nasal Outcome Test (SNOT-22), Cystic Fibrosis Questionnaire-Revised for adolescents and adults over 14 years of age (CFQ-R), Cystic Fibrosis Quality of Life Evaluative Self-administered Test (CF-QUEST) and the 36-Item Short Form Survey (SF-36). HRQoL scores were correlated using Spearman's correlation coefficients. RESULTS: Out of 195 patients eligible for analysis, the prevalence of CRS with positive endoscopic findings was 42.6% (95% confidence interval: 35.5-49.8%). CRS patients reported significantly lower HRQoL with higher SNOT-22 scores and lower scores in the respiratory domain of CFQ-R and physical health domains of CF-QUEST and SF-36. The physical (ρ= -0.63) and mental (ρ= -0.66) domains of SF-36 and CF-QUEST (ρ= -0.76) had a strong correlation with SNOT-22. Higher scores of SNOT-22 nasal subdomains correlated with lower scores of SF-36, CFQ-R and CF-QUEST. CONCLUSION: CRS is a prevalent co-morbidity of CF patients, which significantly reduces HRQoL. SNOT-22, CFQ-R, CF-QUEST and SF-36 were strongly correlated. Severity of sinonasal symptoms have a strong correlation with HRQoL in CF patients.

Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing.

BACKGROUND: Tuberculosis (TB) is a major cause of death worldwide. TB research draws heavily on clinical cohorts which can be generated using electronic health records (EHR), but granular information extracted from unstructured EHR data is limited. The St. Michael's Hospital TB database (SMH-TB) was established to address gaps in EHR-derived TB clinical cohorts and provide researchers and clinicians with detailed, granular data related to TB management and treatment. METHODS: We collected and validated multiple layers of EHR data from the TB outpatient clinic at St. Michael's Hospital, Toronto, Ontario, Canada to generate the SMH-TB database. SMH-TB contains structured data directly from the EHR, and variables generated using natural language processing (NLP) by extracting relevant information from free-text within clinic, radiology, and other notes. NLP performance was assessed using recall, precision and F1 score averaged across variable labels. We present characteristics of the cohort population using binomial proportions and 95% confidence intervals (CI), with and without adjusting for NLP misclassification errors. RESULTS: SMH-TB currently contains retrospective patient data spanning 2011 to 2018, for a total of 3298 patients (N = 3237 with at least 1 associated dictation). Performance of TB diagnosis and medication NLP rulesets surpasses 93% in recall, precision and F1 metrics, indicating good generalizability. We estimated 20% (95% CI: 18.4-21.2%) were diagnosed with active TB and 46% (95% CI: 43.8-47.2%) were diagnosed with latent TB. After adjusting for potential misclassification, the proportion of patients diagnosed with active and latent TB was 18% (95% CI: 16.8-19.7%) and 40% (95% CI: 37.8-41.6%) respectively. CONCLUSION: SMH-TB is a unique database that includes a breadth of structured data derived from structured and unstructured EHR data by using NLP rulesets. The data are available for a variety of research applications, such as clinical epidemiology, quality improvement and mathematical modeling studies.

Characterizing Citizens' Preferences for Engagement in Patient Care and Research in Adult and Pediatric Intensive Care Units.

RATIONALE: Engagement promotes and supports the active participation of patients and families in health care and research to strengthen their influence on decision-making. We sought to characterize how citizens wish to be engaged in care and research in the intensive care unit (ICU). METHODS: Interviewers administered questionnaires to visitors in 3 adult ICUs and 1 pediatric ICU. RESULTS: We surveyed 202 (adult [n = 130] and pediatric [n = 72]) visitors. Adults and pediatric visitors prioritized 3 patient care topics (family involvement in rounds, improving communication between family members and health-care providers, and information transmission between health-care practitioners during patient transfers) and 2 research topics (evaluating prevention and recovery from critical illness). Preferred engagement activities included sharing personal experiences, identifying important topics and outcomes, and finding ways to make changes that respected their needs. Both respondent groups preferred to participate by completing electronic surveys or comment cards and answering questions on a website. Few respondents (<5%) wanted to participate in committees that met regularly. Although adult and pediatric respondents identified common facilitators and barriers to participation, they ranked them differently. Although both groups perceived engagement to be highly important, adult respondents were significantly less confident that their participation would impact care (7.6 ± 2.2 vs 8.3 ± 1.8; P = .01) and research (7.3 ± 2.4 vs 8.2 ± 2.0; P = .01) and were significantly less willing to participate in care (5.6 ± 2.9 vs 6.7 ± 3.0; P = .007) and research (4.7 ± 3.0 vs ± 5.8 ± 3.0; P = .02). CONCLUSIONS: Adult and pediatric visitors expressed comparable engagement preferences, identified similar facilitators and barriers, and rated engagement highly. Adult visitors were significantly less confident that their participation would be impactful and were significantly less willing to engage in care and research.