Objective. To investigate the diagnostic and staging value of serum angiotensin-converting enzyme (sACE) in sarcoidosis. Methods. Patients with suspected sarcoidosis treated in the Department of Pulmonary and Critical Care Medicine of the China-Japan Friendship Hospital from 2010 to 2020 were included. The data of sACE, erythrocyte sedimentation rate (ESR), complete blood count (CBC), lung function, bronchoalveolar lavage, and biopsy were collected. The differences between the sarcoidosis group and the nonsarcoidosis group and between different stages of sarcoidosis were compared. The receiver operating characteristic (ROC) curve analysis was used for the diagnostic test of sACE in sarcoidosis. Results. A total of 84 cases with suspected sarcoidosis were included, among which 70 cases were confirmed to be sarcoidosis by biopsy. The mean value of sACE in sarcoidosis patients was 56.61 ± 30.80 U/L, which was significantly higher than that in nonsarcoidosis patients ( 28.07 ± 14.11 U/L, P = 0.001 ). The level of sACE in sarcoidosis patients with peripheral superficial lymph nodes and multiple system involvement was significantly higher than that in intrathoracic sarcoidosis patients ( P = 0.009 ); the percentage of lymphocytes in bronchoalveolar lavage fluid (BALF) of sarcoidosis patients was 45.39 ± 22.87 %, which was significantly higher than that of nonsarcoidosis patients ( P < 0.001 ). There was no correlation between sACE and ESR ( correlation coefficient = − 0.167 ). According to ROC curve analysis, when sACE ≥ 44.0 U/L, the sensitivity of sarcoidosis diagnosis was 61.4%, the specificity was 92.9%, and the AUC was 0.819. Conclusion. sACE has a good specificity in the diagnosis of sarcoidosis. sACE values in patients with sarcoidosis with systemic involvement were higher than those with simple intrathoracic sarcoidosis.
Background: Artesunate (ART), is a semi-synthetic water-soluble artemisinin derivative extracted from the plant Artemisia annua, which is often used to treating malaria. In vivo and in vitro studies suggested it may help decrease inflammation and attenuate airway remodeling in asthma. However, its underlying mechanism of action is not elucidated yet. Herein, an attempt is made to investigate the ART molecular mechanism in treating asthma.Methods: The BALB/c female mice sensitized via ovalbumin (OVA) have been utilized to establish the asthma model, followed by carrying out ART interventions. Lung inflammation scores by Haematoxylin and Eosin (H&E), goblet cell hyperplasia grade by Periodic Acid-Schiff (PAS), and collagen fibers deposition by Masson trichrome staining have been utilized for evaluating how ART affected asthma. RNA-sequencing (RNA-seq) analyses were performed to identify differentially expressed genes (DEGs). The DEGs were analyzed by Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and Protein-Protein interaction (PPI) function analyses. Hub clusters were found by Cytoscape MCODE. Subsequently, Real-Time quantitative PCR (RT-qPCR) verified the mRNA expression profiles of DEGs. Finally, immunohistochemistry (IHC) and western blots have validated the relevant genes and potential pathways.Results: ART considerably attenuated inflammatory cell infiltration, mucus secretion, and collagen fibers deposition. KEGG pathway analysis revealed that the ART played a protective role via various pathways including the mitogen-activated protein kinase (MAPK) pathway as one of them. Moreover, ART could alleviate the overexpression of found in inflammatory zone 1(FIZZ1) as revealed by IHC and Western blot analyses. ART attenuated OVA-induced asthma by downregulating phosphorylated p38 MAPK.Conclusion: ART exerted a protective function in a multitarget and multi-pathway on asthma. FIZZ1 was a possible target for asthma airway remodeling. The MARK pathway was one of the key pathways by which ART protected against asthma.
Purpose To explore the trajectory of patient-reported outcomes and the factors influencing them in patients with COPD. Patients and Methods The study population, 236 patients with stable COPD who attended the outpatient clinic of the Department of Respiratory and Critical Care Medicine in a tertiary care hospital in Nanning City between October 2020 and November 2021, answered the modified patient-reported outcome scale for COPD (mCOPD-PRO). Patient-reported outcomes were investigated at the time of the patient’s outpatient visit (T1), 1 month after the visit (T2), 3 months after the visit (T3), and 6 months after the visit (T4). Latent class growth modeling was used to determine the number and shape of trajectories, and multinomial logistic regression analysis were used to explore influence factors of each class. Results COPD patients’ reported outcome trajectories were classified into 3 categories: health low-level group (14.80%), health risk group (54.70%), and good health group (30.50%). Logistic regression analysis showed that gender, BMI, smoking history, number of comorbidities, whether it was their first visit, and lung function classification were influential factors in patients’ reported outcome trajectories ( P <0.05). Female, obese, had a history of smoking, number of comorbid diseases >3, first diagnosis, and lung function class IV had a higher probability of entering the healthy low-level group. Conclusion COPD patients have poor self-reported health levels during the first 6 months after the outpatient visit, and there is group heterogeneity in patient-reported outcome trajectories; medical staff should give patients specific nursing interventions based on their current development of COPD, self-reported changes, and other relevant influencing factors.
Purpose To explore the health priorities of patients with multimorbidity in COPD and the factors as to why their condition is prioritized. Methods This qualitative study was conducted from February to April 2022 at a hospital in China. A specially selected sample of 18 patients completed a general information sheet and face-to-face interviews. The Colaizzi method was used to analyze the data. Results Participants reported their experience which fell into three themes: disease burden, health perception and views of others. In addition, participants explained that health knowledge from short videos on mobile apps influenced them, which in turn influenced their ranking. Conclusion Our findings suggested that health priorities of patients with multimorbidity in COPD manifest differently. Specifically, our findings suggested that patients’ health priorities are most influenced by disease burden, health perception, and the opinions of those around them. Nursing staff should fully understand each patients’own perspectives and provide them with personalized support.
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