Pulmonary rehabilitation assessment in COPD based on the ICF brief core set: a latent profile analysis.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the most burdened chronic respiratory disease in the world, resulting in a reduced quality of life and limited physical activity for patients. Pulmonary rehabilitation (PR) is an effective therapy for COPD. Effective PR relies on an accurate pulmonary rehabilitation program. An adequate pre-rehabilitation assessment helps healthcare professionals to develop an accurate pulmonary rehabilitation program. However, pre-rehabilitation assessment strategies lack specific selection criteria and an assessment of the patient's overall functioning. METHODS: This study explored the functional characteristics of COPD patients before pulmonary rehabilitation and collected COPD patients from October 2019 to March 2022. A cross-sectional survey of 237 patients was conducted using the ICF brief core set as the study tool. Latent profile analysis identified subgroups of patients with different rehabilitation needs based on body function and activity participation. RESULTS: Four subgroups of functional dysfunction were identified: 5.42%, 21.03%, 29.44%, and 34.11% in the high dysfunction group, the moderate dysfunction group, the lower-middle dysfunction but high mobility impairment group, and the low dysfunction group, respectively. Patients in the high dysfunction group were older, had a higher proportion of widowed spouses, and experienced more exacerbation. Most patients in the low-dysfunction group did not use inhaled medication and had a lower participation rate in oxygen therapy. Patients with a more severe disease classification and symptom burden mostly belonged to the high dysfunction group. CONCLUSIONS: COPD patients require an adequate assessment before implementing a pulmonary rehabilitation program to determine their rehabilitation needs. The four subgroups were heterogeneous in terms of the degree of functional impairment in body function and activity participation. Patients in the high dysfunction group can improve basic cardiorespiratory fitness; patients in the moderate dysfunction group should focus on improving cardiorespiratory endurance and muscle fitness, patients in the lower-middle-dysfunction but high mobility impairment group should focus on improving mobility and patients in the low functional disability group should focus more on preventive measures. Healthcare providers can tailor rehabilitation programs to the functional impairments of patients with different characteristics. TRIAL REGISTRATION: This study has been registered in the Chinese Clinical Trials Registry (ChiCTR2000040723).

Assessment of global and local region-based bilateral mammographic feature asymmetry to predict short-term breast cancer risk.

This study aims to develop and test a new imaging marker-based short-term breast cancer risk prediction model. An age-matched dataset of 566 screening mammography cases was used. All 'prior' images acquired in the two screening series were negative, while in the 'current' screening images, 283 cases were positive for cancer and 283 cases remained negative. For each case, two bilateral cranio-caudal view mammograms acquired from the 'prior' negative screenings were selected and processed by a computer-aided image processing scheme, which segmented the entire breast area into nine strip-based local regions, extracted the element regions using difference of Gaussian filters, and computed both global- and local-based bilateral asymmetrical image features. An initial feature pool included 190 features related to the spatial distribution and structural similarity of grayscale values, as well as of the magnitude and phase responses of multidirectional Gabor filters. Next, a short-term breast cancer risk prediction model based on a generalized linear model was built using an embedded stepwise regression analysis method to select features and a leave-one-case-out cross-validation method to predict the likelihood of each woman having image-detectable cancer in the next sequential mammography screening. The area under the receiver operating characteristic curve (AUC) values significantly increased from 0.5863 ± 0.0237 to 0.6870 ± 0.0220 when the model trained by the image features extracted from the global regions and by the features extracted from both the global and the matched local regions (p = 0.0001). The odds ratio values monotonically increased from 1.00-8.11 with a significantly increasing trend in slope (p = 0.0028) as the model-generated risk score increased. In addition, the AUC values were 0.6555 ± 0.0437, 0.6958 ± 0.0290, and 0.7054 ± 0.0529 for the three age groups of 37-49, 50-65, and 66-87 years old, respectively. AUC values of 0.6529 ± 0.1100, 0.6820 ± 0.0353, 0.6836 ± 0.0302 and 0.8043 ± 0.1067 were yielded for the four mammography density sub-groups (BIRADS from 1-4), respectively. This study demonstrated that bilateral asymmetry features extracted from local regions combined with the global region in bilateral negative mammograms could be used as a new imaging marker to assist in the prediction of short-term breast cancer risk.