Validation of the cough phenotype TBQ among elderly Finnish subjects.

Background: Phenotypes can be utilised in the clinical management of disorders. Approaches to phenotype disorders have evolved from subjective expert opinion to data-driven methodologies. A previous cluster analysis among working-age subjects with cough revealed a phenotype TBQ (triggers, background disorders, quality-of-life impairment), which included 38% of the subjects with cough. The present study was carried out to validate this phenotyping among elderly, retired subjects with cough. Methods: This was an observational cross-sectional study conducted via email among the members of the Finnish Pensioners' Federation (n=26 205, 23.6% responded). The analysis included 1109 subjects with current cough (mean±sd age 72.9±5.3 years; 67.7% female). All filled in a comprehensive 86-item questionnaire including the Leicester Cough Questionnaire. Phenotypes were identified utilising k-means partitional clustering. Results: Two clusters were identified. Cluster A included 75.2% of the subjects and cluster B 24.8% of the subjects. The three most important variables to separate the clusters were the number of cough triggers (mean±sd 2.47±2.34 versus 7.08±3.16, respectively; p<0.001), Leicester Cough Questionnaire physical domain (5.38±0.68 versus 4.21±0.81, respectively; p<0.001) and the number of cough background disorders (0.82±0.78 versus 1.99±0.89 respectively; p<0.001). Conclusion: The phenotype TBQ could be identified also among elderly, retired subjects with cough, thus validating the previous phenotyping among working-age subjects. The main underlying pathophysiological feature separating the phenotype TBQ from the common cough phenotype is probably hypersensitivity of the cough reflex arc.

Several specific high-resolution computed tomography patterns correlate with survival in patients with idiopathic pulmonary fibrosis.

BACKGROUND: Evidence of honeycombing in high-resolution computed tomography (HRCT) is a recognized risk factor for shortened survival in patients with idiopathic pulmonary fibrosis (IPF), but few studies have evaluated the feasibility of exploiting other specific patterns for predicting survival. The aim of this study was to examine the extent of specific HRCT patterns in IPF and determine whether they correlate with clinical features, pulmonary function tests (PFT), and survival. METHODS: Both the presence and extent of specific HRCT patterns, such as traction bronchiectasis, honeycombing, architectural distortion, reticulation, emphysema, and ground glass opacity, in 129 HRCT examinations were scored semi-quantitatively in three zones of each lung. HRCT examinations were also re-classified according to the 2011 and 2018 international statements. Correlations were calculated between the scores of specific HRCT patterns, clinical features, PFT, and patient survival. RESULTS: The extent of traction bronchiectasis was found to be an independent risk factor of shortened survival (HR 1.227, P=0.001). Patients with a possible usual interstitial pneumonia (UIP) pattern had a better median survival than the patients with a definite UIP pattern (61 vs. 37 months, P=0.026). The extents of traction bronchiectasis, honeycombing, and architectural distortion displayed an inverse correlation with all PFT values at the time of diagnosis. There were few differences between the radiological classifications of the 2011 and 2018 international statements. CONCLUSIONS: We conclude that several specific HRCT patterns displayed a correlation with shortened survival in IPF; these may help in evaluating the risk of death in IPF patients.

Cluster analysis in 975 patients with current cough identifies a phenotype with several cough triggers, many background disorders, and low quality of life.

BACKGROUND: Recognition of disorder phenotypes may help to estimate prognosis and to guide the clinical management. Current cough management guidelines classify patients according to the duration of the cough episode. However, this classification is not based on phenotype analyses. The present study aimed to identify cough phenotypes by clustering. METHODS: An email survey among employed, working-age subjects identified 975 patients with current cough. All filled in a comprehensive 80-item questionnaire including the Leicester Cough Questionnaire. Phenotypes were identified utilizing K-means partitional clustering. A subgroup filled in a follow-up questionnaire 12 months later to investigate the possible differences in the prognosis between the phenotypes. RESULTS: Two clusters were found. The cluster A included 608 patients (62.4% of the population) and the cluster B 367 patients (37.6%). The three most important variables to separate the clusters were the number of the triggers of cough (mean 2.63 (SD 2.22) vs. 6.95 (2.30), respectively, p < 0.001), the number of the cough background disorders (chronic rhinosinusitis, current asthma, gastroesophageal reflux disease, 0.29 (0.50) vs. 1.28 (0.75), respectively, p < 0.001), and the Leicester Cough Questionnaire physical domain (5.33 (0.76) vs. 4.25 (0.84), respectively, p < 0.001). There were significant interrelationships between these three variables (each p < 0.001). Duration of the episode was not among the most important variables to separate the clusters. At 12 months, 27.0% of the patients of the cluster A and 46.1% of the patients of the cluster B suffered from cough that had continued without interruptions from the first survey (p < 0.001). CONCLUSIONS: Two cough phenotypes could be identified. Cluster A represents phenotype A, which includes the majority of patients and has a tendency to heal by itself. The authors propose that cluster B represents phenotype TBQ (Triggers, Background disorders, Quality of life impairment). Given the poor prognosis of this phenotype, it urges a prompt and comprehensive clinical evaluation regardless of the duration of the cough episode.

Multiple psychological factors predict pain and disability among community-dwelling knee osteoarthritis patients: a five-year prospective study.

OBJECTIVE: To identify predictors of long-term pain and disability in knee osteoarthritis. DESIGN: A longitudinal cohort study of five years. SETTING: Primary care providers. SUBJECTS: In all, 108 patients (mean age = 63.6 years, standard deviation (SD) = 7.2 years) with knee pain (⩾40 mm on a 100 mm visual analogue scale in the Western Ontario and McMaster Universities (WOMAC) Osteoarthritis Index pain scale) and radiographic grading (Kellgren-Lawrence: 2-4) of knee osteoarthritis who participated in a randomized controlled trial. MAIN MEASURES: Disease-specific pain and functioning were assessed using the corresponding WOMAC subscales. Generic functioning was assessed by the RAND-36 subscales for function and physical and mental component summary scores. Possible baseline predictors for these outcomes were (1) demographic and disease-related variables and (2) psychological variables of mood (anxiety, depression), pain-related cognitions (pain self-efficacy, pain catastrophizing, kinesiophobia), and positive resource factors (life satisfaction, sense of coherence). RESULTS: Multivariate linear mixed model analyses revealed that minimal anxiety at baseline predicted significantly better results for pain (WOMAC, P = 0.019) and function (WOMAC, P = 0.001, RAND-36 function P = 0.001). High pain self-efficacy predicted significantly better scores in RAND-36 function (P = 0.006), physical (P = 0.004) and mental (P = 0.001) component summaries. Pain catastrophizing predicted higher pain (P = 0.015), whereas fear of movement predicted poorer functioning in RAND-36 physical (P = 0.016) and mental (P = 0.009) component summaries. Those satisfied with life reported higher scores in RAND-36 function (P = 0.002) and mental component summary (P = 0.041). A low number of comorbidities predicted significantly better results in pain (WOMAC P = 0.019) and function (WOMAC P = 0.033, RAND-36 P = 0.009). CONCLUSION: Anxiety, pain-related cognitions, and psychological resources predict symptoms in knee osteoarthritis in the long term.

Several high-resolution computed tomography findings associate with survival and clinical features in rheumatoid arthritis-associated interstitial lung disease.

OBJECTIVE: To compare the presence and extent of several high-resolution computed tomography (HRCT) observations in different subtypes of rheumatoid arthritis-related interstitial lung disease (RA-ILD) and to examine associations between radiological findings, hospitalization, age, RA duration, pulmonary function tests (PFT) and survival. MATERIALS AND METHODS: HRCTs from 60 RA-ILD patients were independently evaluated and re-categorized into usual interstitial pneumonia (UIP), nonspecific interstitial pneumonia (NSIP), organizing pneumonia (OP), diffuse alveolar damage (DAD) and unclassified subtypes by two radiologists. The presence and extent, which was reported using a semi-quantitative scoring system, of e.g. reticulation, ground-glass opacity, honeycombing, emphysema, traction bronchiectasis and architectural distortion were further evaluated and compared between the subtypes. Associations between radiological findings and survival were identified with the Kaplan-Meier method and Cox's univariate model. The correlations between radiological findings, hospitalization, age, pack years, RA duration and PFT were calculated using Spearman's correlation coefficient. RESULTS: The extents of reticulation (HR 1.144, p = 0.041), traction bronchiectasis (HR 1.184, p = 0.030), architectural distortion (HR 1.094, p = 0.044) and the presence of pleural fluid (HR 14.969, p < 0.001) were associated with decreased survival. A negative correlation was observed between ground-glass opacity (GGO) and the duration of RA (r = -0.308, p = 0.023). The extents of honeycombing (r = 0.266, p = 0.046), traction bronchiectasis (r = 0.333, p = 0.012) and architectural distortion (r = 0.353, p = 0.007) correlated with hospitalizations due to respiratory reasons. CONCLUSIONS: Many radiological findings associate with the course of the disease of RA-ILD and could potentially be useful when planning the RA treatment or evaluating the risk of death in these patients.

Are risk predicting models useful for estimating survival of patients with rheumatoid arthritis-associated interstitial lung disease?

BACKGROUND: Risk predicting models have been applied in idiopathic pulmonary fibrosis (IPF), but still not validated in patients with rheumatoid arthritis-associated interstitial lung disease (RA-ILD). The purpose of this study was to test the suitability of three prediction models as well as individual lung function and demographic factors for evaluating the prognosis of RA-ILD patients. METHODS: Clinical and radiological data of 59 RA-ILD patients was re-assessed. GAP (gender, age, physiologic variables) and the modified interstitial lung disease (ILD)-GAP as well as the composite physiologic indexes (CPI) were tested for predicting mortality using the goodness-of-fit test and Cox model. Potential predictors of mortality were also sought from single lung function parameters and clinical characteristics. RESULTS: The median survival was 152 and 61 months in GAP / ILD-GAP stages I and II (p = 0.017). Both GAP and ILD-GAP models accurately estimated 1-year, 2-year and 3-year mortality. CPI (p = 0.025), GAP (p = 0.008) and ILD-GAP (p = 0.028) scores, age (p = 0.002), baseline diffusion capacity to carbon monoxide (DLCO) (p = 0.014) and hospitalization due to respiratory reasons (p = 0.039), were significant predictors of mortality in the univariate analysis, whereas forced vital capacity (FVC) was not predictive. CPI score (HR 1.03, p = 0.018) and baseline DLCO (HR 0.97, p = 0.011) remained significant predictors of mortality after adjusting for age. CONCLUSIONS: GAP and ILD-GAP are applicable for evaluating the risk of death of patients with RA-ILD in a similar manner as in those with IPF. Baseline DLCO and CPI score also predicted survival.

Variable course of disease of rheumatoid arthritis-associated usual interstitial pneumonia compared to other subtypes.

BACKGROUND: In rheumatoid arthritis-associated interstitial lung disease (RA-ILD), occurring in 10 % of patients with patients with RA, usual interstitial pattern (UIP) has shown to associate with poor prognosis but more detailed data about the course of the disease in different subtypes is limited. Our aim was to compare the disease course of patients with RA-ILD categorized into either UIP or other types of ILDs. METHODS: Clinical and radiological information of 59 patients with RA-ILD were re-assessed and re-classified into UIP or non-UIP groups, followed by a between-group comparison of demographic data, lung function, survival, cause of death and comorbidities. RESULTS: The majority of patients (n = 35/59.3 %) showed a radiological UIP-like pattern in high resolution computed tomography. The median survival was 92 months (95 % CI 62.8-121.2) in the UIP-group and 137 months (95 % CI 31.0-243.0) in the non-UIP-group (p = 0.417). Differences in course of disease were found in the number of hospitalizations for respiratory reasons (mean 1.9 ± 2.6 in UIP vs. 0.5 ± 0.9 in non-UIP group, p = 0.004), the use of oxygen therapy (8/22.9 % UIP patients vs. 0 non-UIP patients, p = 0.016), number of deaths (23/65.7 % vs. 10/41.7 %, p = 0.046) and decline in diffusion capacity (56 ± 20.6 vs. 69 ± 20.2, p = 0.021). Dyspnea and inspiratory crackles were detected more often in the UIP group. RA-ILD was the most common primary cause of death (39.4 % of cases). Hypertension, coronary artery disease, chronic obstructive pulmonary disease, heart insufficiency, diabetes and asthma were common comorbidities. ILD preceded RA diagnosis in 13.6 % of patients. CONCLUSIONS: The course of the disease in RA-UIP patients is different from the other RA-ILD subtypes. Several comorbidities associated commonly with RA-ILD, although ILD was the predominant primary cause of death.