Syndecan-1 as a prognostic biomarker in COVID-19 patients: a retrospective study of a Japanese cohort.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact, with millions of confirmed cases and deaths worldwide. While most cases are mild, a subset progresses to severe respiratory complications and death, with factors such as thromboembolism, age, and underlying health conditions increasing the risk. Vascular endothelial damage has been implicated in severe outcomes, but specific biomarkers remain elusive. This study investigated syndecan-1 (SDC-1), a marker of endothelial damage, as a potential prognostic factor for COVID-19, focusing on the Japanese population, which is known for its aging demographics and high prevalence of comorbidities. METHODS: A multicenter retrospective study of COVID-19 patients in Fukushima Prefecture in Japan who were admitted between February 2020 and August 2021 was conducted. SDC-1 levels were measured along with other clinical and laboratory parameters. Outcomes including thrombosis, 28-day survival, and disease severity were assessed, and disease severity was categorized according to established guidelines. RESULTS: SDC-1 levels were correlated with disease severity. Patients who died from COVID-19 had greater SDC-1 levels than survivors, and the area under the receiver operating characteristic curve (AUC) analysis suggested the potential of the SDC-1 level as a predictor of mortality (AUC 0.714). K‒M analysis also revealed a significant difference in survival based on an SDC-1 cutoff of 10.65 ng/mL. DISCUSSION: This study suggested that SDC-1 may serve as a valuable biomarker for assessing COVID-19 severity and predicting mortality within 28 days of hospitalization, particularly in the Japanese population. However, further investigations are required to assess longitudinal changes in SDC-1 levels, validate its predictive value for long-term survival, and consider its applicability to new viral variants. CONCLUSIONS: SDC-1 is emerging as a potential biomarker for assessing the severity and life expectancy of COVID-19 in the Japanese population, offering promise for improved risk stratification and patient management in the ongoing fight against the virus.

Antibiotic treatment for patients with exacerbation of chronic obstructive pulmonary disease: A systematic review and meta-analysis.

BACKGROUND: Although respiratory tract infection is a significant factor that triggers exacerbation of chronic obstructive pulmonary disease (COPD), the benefit of antibiotics for patients with COPD exacerbation remains controversial. It is necessary to evaluate the efficacy and safety of antibiotics versus placebo in such patients. METHODS: We conducted a systematic review and meta-analysis of randomized controlled trials of antibiotics versus placebo for the treatment of COPD exacerbation, and compared the frequencies of treatment failure, mortality, and adverse events between patients treated with antibiotics and those treated with placebo. RESULTS: A total of six studies were included in this meta-analysis. The frequency of treatment failure was significantly lower in the antibiotic-treated patients compared to the placebo-treated patients (odds ratios [OR] 0.50, 95% confidence intervals [CI] 0.35-0.71, p = 0.0001). There was no significant difference between the two groups in mortality (OR 0.44, 95% CI 0.05-3.76, p = 0.45) or frequency of adverse events (OR 1.05, 95% CI 0.75-1.48, p = 0.78). CONCLUSION: In the current systematic review and meta-analysis, we found that antibiotics were superior to placebo in patients with exacerbated COPD, as shown by the lower treatment failure rate.

Underdiagnosis of COPD: The Japan COPD Real-World Data Epidemiological (CORE) Study.

Purpose: The prevalence of airflow obstruction in Japan is 3.8%-16.9%. This epidemiological study based on a large database aimed to reassess the prevalence of airflow obstruction in Japan and the diagnosis rate of chronic obstructive pulmonary disease (COPD). Patients and Methods: We used data regarding claims from the health insurance union and health checkups provided by JMDC. The present study included a subgroup of individuals aged ≥40 years who underwent health checkups involving spirometry between January and December 2019. The study endpoints were the prevalence of airflow obstruction, COPD diagnosis rate, disease stage, and respiratory function test results. Results: Among 102,190 participants, 4113 (4.0%) had airflow obstruction. The prevalence of airflow obstruction was 5.3% in men and 2.1% in women. Among the study population, 6.8% were current smokers, while 3.4% were never or former smokers. Additionally, the prevalence of COPD increased with age. Approximately 8.4% of participants with airflow obstruction were diagnosed with COPD. Regarding the COPD diagnosis status, participants with airflow obstruction who were diagnosed with COPD were at a more advanced stage than those not diagnosed. Finally, patients diagnosed with COPD had significantly lower FEV1/FVC and FEV1 (p < 0.0001; Wilcoxon rank sum test). Conclusion: The epidemiological study based on a large database determined the COPD diagnosis rate related to airflow obstruction. The COPD diagnosis rate was extremely low among individuals who underwent health checkups, indicating the need for increased awareness about this medical condition. Moreover, primary care physicians should identify patients with suspected COPD and collaborate with pulmonologists to facilitate the early detection of COPD and enhance the COPD diagnosis rate.

Simple prediction tools for disease progression in unvaccinated patients with mild/moderate COVID-19 aged under 65 years: Simplified DOATS and DOAT scores.

DOATS score and DOAT score, COVID-19 progression prediction tools we have developed, utilize clinical information such as presence of diabetes/obesity (DO), age (A), body temperature (T), and oxygen saturation (S). They showed good predictive power, but their scoring calculation was slightly complex, leading us to develop simplified versions. This report discusses the ability of the simplified versions to assess deterioration risk in unvaccinated, mild/moderate COVID-19 patients aged <65 years. Logistic regression analysis identified independent risk factors for deterioration, to which points were assigned in order to derive overall prediction scores. The simplified versions showed high discriminating power, with the areas under the receiver operating characteristic curve for DOATS and DOAT being 0.79 and 0.77, respectively, indicating their clinical utility. Although the original versions have a slightly higher predictive power, the new versions are easier to use in emergency situations; thus, importantly, selecting the appropriate version depends on the situation.

Health Status Progression Measured Using Weekly Telemonitoring of COPD Assessment Test Scores Over 1 Year and Its Association With COPD Exacerbations.

Background: A previous longitudinal study of chronic obstructive pulmonary disease (COPD) Assessment Test (CAT) score changes suggested patients fall into 3 patterns: stable, improving, and worsening. This study assessed the evolution of CAT scores over time and its relationship to exacerbations. Methods: In total, 84 participants used a telemedicine platform to complete CAT weekly for 52 weeks. Completion rates, annualized change in CAT scores, and learning effects were measured, as well as CAT changes of >4 units during look-back periods of 4 and 8 weeks. In a subgroup of participants with at least a 25% completion rate (adherent group, n=68 [81%]), the relationship between change in CAT score and exacerbations at any time during the study was examined post hoc. Results: Linear regression showed that 50%, 22%, and 28% of the adherent subgroup had CAT scores indicating worsening, stable, and improving health status, respectively. In the adherent subgroup, 70% (n=7/10) of participants who had an exacerbation during the study had worsening CAT scores, versus 47% (n=27/58) without an exacerbation. The hazard ratio association between CAT score increase and moderate exacerbation was 1.13 (95% confidence interval: 1.03-1.24). Most participants experienced at least one CAT score change of >4 units, and 7% showed an initial learning effect with a median of 2 weeks. Conclusion: Measuring trends in CAT scores may allow future studies to group patients into 3 defined categories of change over time and quantify CAT change trajectories to assess treatment response and potentially predict medium-term outcomes within individual patients.

Two cases of idiopathic pulmonary fibrosis evaluated by dynamic digital radiography for diaphragmatic motion and disease progression.

Forced vital capacity has been utilized as a parameter of disease progression in idiopathic pulmonary fibrosis (IPF); however, its measurement is difficult when patients do not understand or cooperate. Dynamic digital radiography (DDR) enables sequential chest X-ray imaging during breathing, with lower radiation doses compared to conventional fluoroscopy or computed tomography. There is accumulating evidence showing that parameters obtained from DDR, particularly those related to diaphragmatic dynamics, are correlated with pulmonary function parameters, and are useful for pathophysiological evaluation. We herein present two cases that suggest parameters obtained from DDR during supine normal tidal breathing may predict disease progression of IPF.