A Multidimensional Risk Score to Predict All-Cause Hospitalization in Community-Dwelling Older Individuals With Obstructive Lung Disease

High-sensitivity C-reactive protein level in stable-state bronchiectasis predicts exacerbation risk

BACKGROUND

Elevation of systemic inflammatory markers were found to correlate with increased disease extent, reduced lung function and higher risk of future severe exacerbations in patients with bronchiectasis. Although a significant correlation of circulating hs-CRP levels with HRCT scores and resting oxygen saturation in patients with stable-state non-cystic fibrosis (CF) bronchiectasis was suggested, there is little data on the relationship between hs-CRP and the prognosis of bronchiectasis and a lack of data on the role of hs-CRP in predicting bronchiectasis exacerbation.

METHODS

A prospective study was conducted on Chinese patients with non- CF bronchiectasis from 1st October to 31st December 2021. Baseline serum hs-CRP were obtained at stable-state. The follow-up period lasted for one year. Co-primary endpoints were the development of any bronchiectasis exacerbation and hospitalized bronchiectasis exacerbation.

RESULTS

Totally 123 patients were included. Higher hs-CRP was associated with increased risk to develop any bronchiectasis exacerbation, adjusted odds ratio (aOR) of 2.254 (95% CI = 1.040-4.885, p = 0.039), and borderline significantly increased hospitalized bronchiectasis exacerbation with aOR of 1.985 (95% CI = 0.922-4.277, p = 0.080).

CONCLUSION

Baseline serum hs-CRP level at stable-state can predict risk of bronchiectasis exacerbation, which is reflecting chronic low-grade inflammation in bronchiectasis.

A qualitative investigation of reasoning behind decisions to decline participation in a research intervention: A study-within-a-trial

The current study-within-a-trial explored individuals' decisions to decline participation in research trialling a chronic illness-focused therapy (i.e. multiple sclerosis). Four themes were identified from seven semi-structured interviews with participation decliners and were confirmed by the host trial's Patient & Public Involvement (PPI) panel: acknowledgement of the value of research; 'fit' of the study; misinterpretation of participant information; and 'ignorance is bliss' - discussed in light of theory and research. This study-within-a-trial extends research on trial recruitment and participation decline; while also suggesting that PPI can be utilised in both a practical and impactful manner.

Development and validation of prediction models for the risks of diabetes-related hospitalization and in-hospital mortality in patients with type 2 diabetes

OBJECTIVES

Diabetes is a major cause of hospitalization and in-hospital mortality. However, a scoring system that can be used to identify diabetic patients at risk of diabetes-related hospitalization and in-hospital mortality is lacking.

METHODS

We included 32,653 patients in this retrospective cohort study. All recruited patients had type 2 diabetes, were 30-84 years of age, and were enrolled in the National Diabetes Care Management Program over the period of 2001-2003. We used the Cox proportional hazard regression model to derive risk scores. The predictive accuracy of the models was evaluated using receiver operating characteristic curves. We conducted the Hosmer-Lemeshow test to assess the agreement between predicted and observed risks.

RESULTS

Over a follow-up period of eight years, 6243 patients were hospitalized for diabetes-related events, and 2048 deaths were registered in hospital records. For the one-, three-, five-, and eight-year periods, the areas under the curve (AUC) for diabetes-related hospitalization in the validation set were 0.80, 077, 0.76, and 0.74, respectively. The corresponding values for in-hospital mortality in the validation set were 0.87, 080, 0.77, and 0.76. The goodness-of-fit test showed that the predicted and observed probabilities in the one-, three-, five-, and eight-year periods were similar for diabetes-related hospitalization and in-hospital mortality in the validation set (all p values > 0.05).

CONCLUSION

We developed models for the estimation of the risks of diabetes-related hospitalization and in-hospital mortality in patients with type 2 diabetes. The models may be used to identify diabetic patients who are at high risk for hospital admission and in-hospital mortality.

Factors associated with hospitalization in bronchiectasis exacerbations: a one-year follow-up study

Background

Bronchiectasis (BE) is a chronic structural lung disease with frequent exacerbations, some of which require hospital admission though no clear associated factors have been identified. We aimed to evaluate factors associated with hospitalization due to exacerbations during a 1-year follow-up period.

Methods

A prospective observational study was performed in patients recruited from specialized BE clinics. We considered all exacerbations diagnosed and treated with antibiotics during a follow-up period of 1 year. The protocol recorded baseline variables, usual treatments, Bronchiectasis Severity Index (BSI) and FACED scores, comorbid conditions and prior hospitalizations.

Results

Two hundred and 65 patients were recruited, of whom 162 required hospital admission during the follow-up period. Independent risk factors for hospital admission were age, previous hospitalization due to BE, use of proton pump inhibitors, heart failure, FACED and BSI, whereas pneumococcal vaccination was a protective factor. The area under the receiver operator characteristic curve (AUC) was 0.799 for BSI model was 0.799, and 0.813 for FACED model.

Conclusions

Previous hospitalization, use of proton pump inhibitors, heart failure along with BSI or FACED scores is associated factors for developing exacerbations that require hospitalization. Pneumococcal vaccination was protective. This information may be useful for the design of preventive strategies and more intensive follow-up plans.

Clinical and Genetic Associations of Objectively Identified Interstitial Changes in Smokers

BACKGROUND

Smoking-related lung injury may manifest on CT scans as both emphysema and interstitial changes. We have developed an automated method to quantify interstitial changes and hypothesized that this measurement would be associated with lung function, quality of life, mortality, and a mucin 5B (MUC5B) polymorphism.

METHODS

Using CT scans from the Genetic Epidemiology of COPD Study, we objectively labeled lung parenchyma as a tissue subtype. We calculated the percentage of the lung occupied by interstitial subtypes.

RESULTS

A total of 8,345 participants had clinical and CT scanning data available. A 5% absolute increase in interstitial changes was associated with an absolute decrease in FVC % predicted of 2.47% (P < .001) and a 1.36-point higher St. George's Respiratory Questionnaire score (P < .001). Among the 6,827 participants with mortality data, a 5% increase in interstitial changes was associated with a 29% increased risk of death (P < .001). These associations were present in a subgroup without visually defined interstitial lung abnormalities, as well as in those with normal spirometric test results, and in those without chronic respiratory symptoms. In non-Hispanic whites, for each copy of the minor allele of the MUC5B promoter polymorphism, there was a 0.64% (P < .001) absolute increase in the percentage of lung with interstitial changes.

CONCLUSIONS

Objective interstitial changes on CT scans were associated with impaired lung function, worse quality of life, increased mortality, and more copies of a MUC5B promoter polymorphism, suggesting that these changes may be a marker of susceptibility to smoking-related lung injury, detectable even in those who are healthy by other measures.

Sarcopenia in Advanced COPD Affects Cardiometabolic Risk Reduction by Short-Term High-intensity Pulmonary Rehabilitation

OBJECTIVES

Sarcopenia is common in chronic obstructive pulmonary disease (COPD) and may contribute to increased cardiometabolic risk. Interventions to reduce cardiometabolic risk in advanced COPD have been scarcely studied. We have investigated the cardiometabolic effect of a short-term high-intensity rehabilitation program in sarcopenic and nonsarcopenic patients with advanced COPD.

DESIGN

Prospective observational study.

SETTING

Inpatient 4-week short-term high-intensity pulmonary rehabilitation program at the University Clinic Golnik, Slovenia.

PARTICIPANTS

112 stable COPD patients (66 ± 8 years, 85% GOLD III/IV, 66% men).

MEASUREMENTS

Blood biomarkers were assessed at baseline and after rehabilitation. Sarcopenia was assessed at baseline (skeletal muscle index <7.23 kg/m(2) for men and <5.67 kg/m(2) for women, as measured by whole-body dual energy X-ray absorptiometry. Insulin resistance (IR) was defined as homeostasis model assessment of insulin resistance (HOMA-IR) above 2.5.

RESULTS

IR and sarcopenia were detected in 59% and 55% of patients, respectively. In contrast to sarcopenic patients, rehabilitation decreased HOMA-IR (2.8 to 1.9, P = .031), fat mass index (10.1 to 9.7 kg/m(2), P = .013), waist circumference (103 to 101 cm, P = .002), and low-density lipoprotein cholesterol (3.2 to 3.0 mmol/L, P = .034) in nonsarcopenic patients. A decrease in total cholesterol levels was observed in both groups.

CONCLUSIONS

Sarcopenia affects the modification of cardiometabolic risk markers by short-term high-intensity pulmonary rehabilitation in advanced COPD patients.