Respiratory investigation最新文献

Background

Because exacerbation of severe asthma decreases patients’ quality of life, this study aimed to identify predictive factors for asthma exacerbation.

Methods

Japanese patients with severe asthma requiring treatment according to the Global Initiative for Asthma (GINA) guidelines ≥ Step 4 between January 2018 and August 2021 were prospectively enrolled and followed up for one year at facilities participating in the Okayama Respiratory Disease Study Group (Okayama Severe Asthma Research Program).

Results

A total of 85 patients (29 men and 56 women) were included. The median age was 64 (interquartile range [IQR], 51–72) years. Treatment according to GINA Steps 4 and 5 was required in 29 and 56 patients, respectively, and 44 patients (51.8%) were treated with biologics. The median peripheral-blood eosinophil count, fractional exhaled nitric oxide, IgE level, and percent predicted FEV₁ (%FEV₁) at enrollment were 204 (IQR, 49–436)/μL, 28 (IQR, 15–43) ppb, 172 (IQR, 56–473) IU/mL, and 80.0 (IQR, 61.1–96.1) %, respectively. Exacerbation during the previous year, asthma control test (ACT) score <20, %FEV₁ <60%, and serum IL-10 level >6.7 pg/mL were associated with exacerbation during the observation period.

Conclusions

Exacerbation during the previous year, low ACT score, and low %FEV₁ were predictive factors of future exacerbation, even in a cohort with >50% of patients treated with biologics. Furthermore, high serum IL-10 levels might be a new predictive factor.

Background

Real-world data assessing characteristics of patients with asthma initiating inhaled corticosteroid/long-acting muscarinic antagonist/long-acting β₂-agonist (ICS/LAMA/LABA) triple therapy in Japan are limited.

Methods

Descriptive, observational study of patients with asthma aged ≥15 years newly initiating single- or multiple-inhaler triple therapy (SITT: fluticasone furoate/umeclidinium/vilanterol [FF/UMEC/VI], SITT: indacaterol/glycopyrronium bromide/mometasone furoate [IND/GLY/MF] or MITT) or ICS/LABA using JMDC/Medical Data Vision (MDV) health insurance databases from February 2021–February 2022 (first prescription date: index date). Patients were assigned to three non-mutually exclusive cohorts: A) new FF/UMEC/VI initiators; B) new FF/UMEC/VI, IND/GLY/MF, or MITT initiators; C) new FF/UMEC/VI, IND/GLY/MF, MITT or ICS/LABA initiators as initial maintenance therapy (IMT). Patient characteristics were assessed descriptively for 12-months pre-treatment initiation (baseline period).

Results

Cohort A: among new FF/UMEC/VI initiators, 12.8% and 0.1% (JMDC) and 21.7% and 0.9% (MDV) of patients had ≥1 moderate and severe exacerbation; 52.0% (JMDC) and 79.2% (MDV) had ICS/LABA use. Cohort B: most patients initiated FF/UMEC/VI and IND/GLY/MF over MITT (JMDC: 91.3% vs 8.7%; MDV: 67.8% vs 32.2%), with fewer exacerbations and lower rescue medication use. Cohort C: a greater proportion of FF/UMEC/VI initiators as IMT experienced a moderate exacerbation at index versus ICS/LABA initiators as IMT (JMDC: 17.8% vs 10.7%; MDV: 8.0% vs 5.1%).

Conclusions

Patient characteristics were generally similar between treatment groups; SITT initiators had fewer exacerbations and lower rescue medication use than MITT initiators, represented by the greater proportion of IMT among SITT versus MITT initiators. Physicians may have prescribed triple over dual therapy as IMT in response to an exacerbation.

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.

MET exon14 skipping mutations (METex14s) are rarely reported as a potential resistance mechanism to EGFR tyrosine kinase inhibitors (TKIs). The efficacy of targeted therapy against METex14s emerging after osimertinib resistance is uncertain. Herein, we report a case of EGFR-mutated metastatic lung adenocarcinoma in which METex14 was detected in a re-biopsy upon first-line osimertinib resistance. The patient received capmatinib monotherapy as third-line therapy, which was ineffective, followed by an exceptional response to salvage therapy with afatinib. This report highlights the heterogeneity of EGFR-TKI resistance and that targeting rare resistance mechanisms remains challenging.

Background

A machine learning classifier system, Fibresolve, was designed and validated as an adjunct to non-invasive diagnosis in idiopathic pulmonary fibrosis (IPF). The system uses a deep learning algorithm to analyze chest computed tomography (CT) imaging. We hypothesized that Fibresolve is a useful predictor of mortality in interstitial lung diseases (ILD).

Methods

Fibresolve was previously validated in a multi-site >500-patient dataset. In this analysis, we assessed the usefulness of Fibresolve to predict mortality in a subset of 228 patients with IPF and other ILDs in whom follow up data was available. We applied Cox regression analysis adjusting for the Gender, Age, and Physiology (GAP) score and for other known predictors of mortality in IPF. We also analyzed the role of Fibresolve as tertiles adjusting for GAP stages.

Results

During a median follow-up of 2.8 years (range 5 to 3434 days), 89 patients died. After adjusting for GAP score and other mortality risk factors, the Fibresolve score significantly predicted the risk of death (HR: 7.14; 95% CI: 1.31–38.85; p = 0.02) during the follow-up period, as did forced vital capacity and history of lung cancer. After adjusting for GAP stages and other variables, Fibresolve score split into tertiles significantly predicted the risk of death (p = 0.027 for the model; HR 1.37 for 2nd tertile; 95% CI: 0.77–2.42. HR 2.19 for 3rd tertile; 95% CI: 1.22–3.93).

Conclusions

The machine learning classifier Fibresolve demonstrated to be an independent predictor of mortality in ILDs, with prognostic performance equivalent to GAP based solely on CT images.

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.

Background

Although lung transplantation (LTx) is the last resort for patients with end-stage lymphangioleiomyomatosis (LAM), the high waitlist mortality is a source of concern in Japan. Discontinuation of mechanistic target of rapamycin (mTOR) inhibitors prior to LTx is recommended due to the incidence of severe adverse events. Therefore, we hypothesized that mTOR inhibitors may affect the mortality of patients with LAM on the LTx waitlist.

Methods

We retrospectively compared the characteristics of consecutive patients with LAM on the LTx waitlist who were and were not receiving mTOR inhibitors.

Results

Twenty-nine consecutive patients with LAM who listed our center between January 2004 and December 2021 were selected from the database and enrolled in the present study. Seventeen patients (58.6%) were receiving a mTOR inhibitor, sirolimus (treatment group). During a median listing period of 1277 days, 12 patients (41.4%) were hospitalized, six patients (20.7%) died from disease before LTx, and 15 patients underwent LTx. Among the deceased patients, four patients (66.6%) had pneumothoraces. The waitlist mortality in the treatment group was significantly lower than that in the non-treatment group (p = 0.03). Among the six patients who discontinued sirolimus in the treatment group, four patients (66.6%) were hospitalized with respiratory complications after the discontinuation of sirolimus. No mTOR inhibitor-related complications arose in the treatment group undergoing LTx (n = 7), including those on a reduced sirolimus dose.

Conclusions

Administration of an mTOR inhibitor until LTx may decrease waitlist mortality. Due to life-threatening events after discontinuing sirolimus pre-LTx, a reduced dose until LTx is permissible.

Background

Phase angle (PhA), which is measured using bioelectrical impedance analysis, is an indicator of muscle quality and malnutrition. PhA has been shown to be correlated with sarcopenia and malnutrition; however, studies on patients with chronic obstructive pulmonary disease (COPD) are limited. In this study, we investigated the correlation between PhA and sarcopenia and malnutrition and determined the cutoff values of PhA for those in patients with COPD.

Methods

This study included 105 male patients with COPD (mean age 75.7 ± 7.7 years, mean forced expiratory volume in 1s % predicted [%FEV₁] 57.0 ± 20.1%) and 12 male controls (mean age 74.1 ± 3.8 years) who were outpatients between December 2019 and March 2024. PhA was measured using the InBody S10, and its correlation with sarcopenia and malnutrition was assessed. The cutoff PhA values for sarcopenia and malnutrition were determined using receiver operating characteristic curves.

Results

The prevalence rates of sarcopenia and malnutrition were 31% and 22%, respectively, in patients with COPD. PhA significantly correlated with sarcopenia- and malnutrition-related indicators. Multivariate logistic regression analysis independently correlated PhA with sarcopenia and malnutrition. The cutoff values of the PhA for sarcopenia and malnutrition were 4.75° (AUC = 0.78, 95% CI = 0.68–0.88) and 4.25° (AUC = 0.75, 95% CI = 0.63–0.86), respectively.

Conclusions

PhA was significantly correlated with sarcopenia and malnutrition in Japanese patients with COPD and may be a useful diagnostic indicator.

Obstructive sleep apnea (OSA) causes excessive daytime sleepiness, impaired daytime functioning, and an increased risk of cardiovascular diseases. Continuous positive airway pressure (CPAP) is a highly effective therapy for moderate to severe OSA. Although CPAP adherence is commonly assessed using a 4-hthreshold, determining the optimal usage time based on clinical outcomes is crucial. While subjective sleepiness often improves with ≥4 h of CPAP usage, an extended duration (≥6 h) may be necessary to impact objective sleepiness. CPAP demonstrated a modest yet clinically meaningful dose-dependent effect on lowering blood pressure. For patients seeking antihypertensive benefits from CPAP therapy, the goal should extend beyond 4 h of use to maximize the therapeutic impact. Recognizing individual variations in sleep duration and responses to CPAP therapy is essential. The adoption of 'individualized goals for CPAP use,' outlining target times for specific outcomes, should also consider an individual's total sleep duration, including periods without CPAP. The impact of CPAP on clinical outcomes may vary, even with the same duration of CPAP use, depending on the period without CPAP use, particularly during the first or second half of sleep. Patients who remove or initiate CPAP midway or have a low CPAP usage frequency may require different forms of guidance. Tailoring patient education to address CPAP usage patterns may be necessary to enhanced satisfaction, self-efficacy, and adherence to therapy. Management of CPAP treatment should be personalized to meet individual needs and adapted based on specific response patterns for achieving treatment efficacy.