Daily Respiratory Research Analysis
Today’s top respiratory research spans real-world safety, perioperative risk, and AI-ready diagnostics. A nationwide Japanese cohort links desflurane anesthesia to fewer postoperative respiratory complications after esophagectomy, a Medicare-matched study finds higher respiratory events with gabapentin plus opioids versus active comparators, and a new multispecies CT dataset (NTM vs TB) is released to accelerate AI-based differential diagnosis.
Summary
Today’s top respiratory research spans real-world safety, perioperative risk, and AI-ready diagnostics. A nationwide Japanese cohort links desflurane anesthesia to fewer postoperative respiratory complications after esophagectomy, a Medicare-matched study finds higher respiratory events with gabapentin plus opioids versus active comparators, and a new multispecies CT dataset (NTM vs TB) is released to accelerate AI-based differential diagnosis.
Research Themes
- Perioperative respiratory risk and anesthesia choice
- Pharmacoepidemiology of respiratory complications with polypharmacy
- AI-ready imaging datasets for differential diagnosis of pulmonary infections
Selected Articles
1. An Integrated Mycobacterial CT Imaging Dataset with Multispecies Information.
This paper releases a curated CT dataset combining 430 NTM and 871 TB cases with linked clinical and species-level information, addressing the scarcity of data that hampers AI development for pulmonary mycobacterial disease. The dataset is positioned to accelerate algorithmic advances in differentiating NTM from TB, enabling faster, more precise management.
Impact: Foundational imaging dataset with multispecies labels and clinical metadata for a high-need diagnostic gap enables broad AI research and benchmarking. Likely to standardize and spur progress in NTM/TB differential diagnosis.
Clinical Implications: Improved AI models trained on this dataset could reduce time-to-diagnosis and inappropriate antimicrobial use by distinguishing NTM from TB on CT, guiding early targeted therapy.
Key Findings
- Introduces the first comprehensive CT dataset integrating 430 NTM and 871 TB cases.
- Includes clinical parameters (demographics, symptoms) and mycobacterial species data.
- Targets AI development for differential diagnosis to improve precision in NTM management.
Methodological Strengths
- Large, disease-specific dataset with balanced representation of NTM and TB
- Rich annotations including species-level labels and clinical metadata
Limitations
- Resource description without algorithm performance or external validation results
- Generalizability to other populations or imaging protocols is unassessed in this report
Future Directions: Benchmark challenges and external validation studies using this dataset; integration with microbiology and outcomes to link imaging phenotypes to treatment response.
The increasing global incidence of nontuberculous mycobacterial (NTM) pulmonary disease highlights the need for rapid diagnostic methods to guide timely treatment and prevent antibiotic misuse. While bacterial culture remains the gold standard for diagnosis, its extended turnaround time compromises clinical decision-making. Computed tomography (CT), with its high sensitivity for lung lesions and rapid imaging capabilities, has emerged as a critical diagnostic tool. AI-assisted CT interpretation shows particular promise for improving NTM detection, yet progress has been hindered by limited datasets due to disease rarity. We address this gap by introducing the first comprehensive CT dataset combining 430 NTM and 871 tuberculosis cases, supplemented with clinical parameters including demographics, symptoms, and mycobacterial species data. This resource aims to catalyze AI algorithm development for differential diagnosis, ultimately enhancing precision in NTM management through advanced machine learning applications.
2. Respiratory complications after oesophagectomy using volatile or intravenous anaesthesia.
In a nationwide Japanese cohort of 21,080 esophagectomy patients, desflurane anesthesia was associated with fewer respiratory complications and ventilatory failure than sevoflurane or propofol, with consistent findings across sensitivity analyses. In-hospital mortality was lowest in the desflurane group.
Impact: Provides robust comparative effectiveness evidence that anesthetic choice affects postoperative respiratory outcomes after esophagectomy, informing perioperative practice.
Clinical Implications: Where feasible, selecting desflurane for esophagectomy may reduce respiratory complications and ventilatory failure; perioperative teams should weigh patient factors and institutional protocols when choosing anesthetic regimens.
Key Findings
- Among 21,080 cases, respiratory complications occurred in 16.1% and ventilatory failure in 4.6%.
- Compared with desflurane, sevoflurane (OR 1.13, 95% CI 1.03–1.24) and propofol (OR 1.43, 95% CI 1.28–1.58) were associated with higher respiratory complications.
- Ventilatory failure was higher with sevoflurane (OR 1.21, 95% CI 1.02–1.43) and propofol (OR 1.29, 95% CI 1.06–1.56) vs desflurane; mortality was lowest with desflurane.
Methodological Strengths
- Nationwide database with large sample size and comprehensive covariate adjustment
- Propensity score weighting plus sensitivity analyses (multivariable regression and instrumental variable)
Limitations
- Retrospective observational design with potential for residual confounding
- Administrative coding may limit granularity (e.g., intraoperative parameters not captured)
Future Directions: Prospective comparative studies and mechanistic investigations on anesthetic effects on pulmonary physiology after major thoracic surgery.
BACKGROUND: The anaesthesia regimen may affect the risk of postoperative respiratory complications. However, the optimal anaesthetic choice for oesophagectomy remains unclear. This retrospective study compared the effect of desflurane, sevoflurane, and propofol anaesthesia on short-term outcomes after oesophagectomy. METHODS: Data of patients who underwent oesophagectomy for cancer during April 2012-March 2022 were extracted from a nationwide Japanese inpatient database. Propensity score matching weight analysis was conducted to compare respiratory complications, ventilatory failure, and in-hospital mortality between desflurane, sevoflurane, and propofol anaesthesia, adjusting for potential confounders. Sensitivity analyses were performed using multivariable logistic regression and instrumental variable analyses. RESULTS: Among 21 080 included patients (desflurane group 7823, sevoflurane group 8932, and propofol group 4325 patients), respiratory complications and ventilatory failure occurred in 3399 (16.1%) and 960 (4.6%) patients respectively. Upon matching weight analysis, sevoflurane and propofol anaesthesia were significantly associated with higher incidences of respiratory complications (OR 1.13, 95% c.i. 1.03 to 1.24 and OR 1.43, 95% c.i. 1.28 to 1.58 respectively) and ventilatory failure (OR 1.21, 95% c.i. 1.02 to 1.43 and OR 1.29, 95% c.i. 1.06 to 1.56 respectively) compared with desflurane anaesthesia. In-hospital mortality after desflurane anaesthesia was the lowest of the three anaesthesia (1.6% and 1.8% versus 1.2%; OR 1.30, 95% c.i. 0.98 to 1.73 and OR 1.49, 95% c.i. 1.08 to 2.06 respectively). Multivariable logistic regression and instrumental variable analyses demonstrated similar results. CONCLUSIONS: Sevoflurane and propofol anaesthesia for oesophagectomy were associated with worse respiratory outcomes compared with desflurane anaesthesia.
3. Adverse respiratory events during treatment with gabapentin and opioids among older adults with spine-related conditions: a propensity-matched cohort study in the US Medicare population.
In 133,720 matched Medicare beneficiaries with spine-related diagnoses, concurrent gabapentin plus opioid use increased the risk of composite respiratory events versus TCA/duloxetine plus opioids (HR 1.19, 95% CI 1.13–1.25). Pneumonia and respiratory failure were the most common events; findings were robust across sensitivity analyses.
Impact: Clarifies respiratory safety in a common co-prescribing scenario for older adults, guiding analgesic and adjuvant selection with an active comparator design.
Clinical Implications: Consider alternatives (e.g., TCA or duloxetine) when co-prescribing with opioids in older adults; if gabapentin is necessary, use the lowest effective dose, reassess early, and monitor for respiratory complications.
Key Findings
- Matched cohort of 133,720 older adults showed higher respiratory events with gabapentin+opioids vs TCA/duloxetine+opioids (HR 1.19, 95% CI 1.13–1.25).
- Event rates: pneumonia 3.7% vs 3.0% and respiratory failure 2.3% vs 1.8% (gabapentin+opioids vs active control+opioids).
- Results remained consistent in ≤30-day analyses and when requiring ≥2 prescription fills.
Methodological Strengths
- Incident-user, active-comparator, propensity score–matched design in a large national dataset
- Robust sensitivity analyses supporting primary findings
Limitations
- Observational claims data with potential residual confounding and misclassification
- Generalizability limited to older adults with spine-related conditions in Medicare
Future Directions: Prospective evaluations of deprescribing strategies and dose-response effects; mechanistic studies on respiratory vulnerability with gabapentinoids and opioids.
BACKGROUND CONTEXT: Recent work indicates no increased mortality risk with concurrent gabapentin and opioid use when using an active comparator control design. However, concurrent gabapentin and opioid prescriptions have been associated with greater risk of respiratory depression in some studies. PURPOSE: To compare the risk of respiratory events among Medicare enrollees with histories of spine-related diagnoses treated with gabapentin+opioids versus those treated with tricyclic antidepressants (TCA) or duloxetine+opioids. We hypothesized that enrollees treated with gabapentin+opioids would have increased risk of adverse respiratory events compared to those treated with an active control+opioids. STUDY DESIGN/SETTING: Propensity score-matched cohort study with an incident user, active comparator (TCA/duloxetine) control design. The primary analysis included those who concurrently (within 30 days) filled ≥1 incident gabapentin+≥1 opioid or ≥1 incident TCA/duloxetine+≥1 opioid prescription. PATIENT SAMPLE: US Medicare beneficiaries with histories of spine-related diagnoses 2017 to 2019. People treated with gabapentin+opioids (n=66,860) were matched on demographic and clinical factors to people treated with TCAs/duloxetine+opioids (n=66,860). OUTCOME MEASURES: Time to a composite respiratory outcome consisting of mechanical ventilation, intubation, respiratory failure, pneumonia, or acute respiratory distress syndrome. METHODS: Cox proportional hazard regression was used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs). RESULTS: Among 133,720 Medicare enrollees (median age 73.3 years; 66.9% female), 6277 (4.7%) experienced respiratory events before the end of follow-up. A total of 3,469 (5.2%) of people who were treated with gabapentin+opioids (median initial dose/day of gabapentin was 300 mg) had respiratory events compared to 2808 (4.2%) of those treated with an active control+opioids. The increased risk in those treated with gabapentin+opioids was statistically significant after adjustment (HR 1.19; 95% CI 1.13, 1.25; p<.0001). The most common respiratory events were pneumonia (3.7% of people in the gabapentin+opioids group versus 3.0% of people in the TCA/duloxetine+opioids group) and respiratory failure (2.3% in the gabapentin+opioids group versus 1.8% in the TCA/duloxetine+opioids group). Results were similar in analyses (a) restricted to ≤30-day follow-up and (b) that required ≥2 fills of each prescription. CONCLUSIONS: While recent work indicates no increased mortality risk with concurrent gabapentin and opioid use in this population, the current findings suggest clinicians should exercise caution in prescribing gabapentin to older adults with spine conditions who are using opioids, due to possible impacts on respiratory events. However, we cannot be certain that unmeasured confounding may explain these results and replication is needed.