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Daily Report

Daily Respiratory Research Analysis

06/19/2026
3 papers selected
212 analyzed

Analyzed 212 papers and selected 3 impactful papers.

Summary

Three impactful respiratory papers stand out today: a meta-analysis clarifies the efficacy–tolerability trade-off between selective P2X3 and dual P2X2/3 antagonists for refractory chronic cough; a multi-center deep learning study shows CT-based, noninvasive prediction of PD-L1 status and immunotherapy outcomes in metastatic NSCLC; and a large, propensity-matched analysis links sugammadex (vs neostigmine) to fewer postoperative respiratory complications after upper GI endoscopy under general anesthesia.

Research Themes

  • Antitussive drug development targeting purinergic P2X pathways
  • AI-driven imaging biomarkers for immunotherapy stratification in lung cancer
  • Perioperative respiratory safety and neuromuscular block reversal strategies

Selected Articles

1. Selective P2X3 versus dual P2X2/3 receptor antagonists in refractory chronic cough: a systematic review and dose-response meta-analysis of randomized controlled trials.

78.5Level ISystematic Review/Meta-analysis
Purinergic signalling · 2026PMID: 42319606

Across nine RCTs (n=1,934), dual P2X2/3 antagonists achieved larger reductions in 24‑h cough frequency than selective P2X3 agents but caused far more dysgeusia. Selective P2X3 antagonists—particularly camlipixant ≥50 mg BID—delivered clinically meaningful antitussive effects with minimal taste disturbance, highlighting a mechanism-based benefit–risk trade‑off.

Impact: This synthesis aligns antitussive efficacy with tolerability at the receptor level, directly informing drug and dose selection in refractory chronic cough.

Clinical Implications: Prefer selective P2X3 antagonists when dysgeusia would limit adherence; consider dual antagonists where maximal cough suppression is critical and taste effects are acceptable. Dose-response data (e.g., camlipixant ≥50 mg BID) can guide titration.

Key Findings

  • Dual P2X2/3 antagonists reduced 24‑h cough frequency more than selective P2X3 agents (−38.12% vs −19.93%; p=0.016).
  • Selective P2X3 agents had far lower dysgeusia rates than dual agents (8% vs 51%; p<0.0001).
  • Camlipixant ≥50 mg BID achieved ~34% cough reduction with 5–7% dysgeusia.
  • Dose‑response showed steeper efficacy for dual antagonists but disproportionate taste AEs.

Methodological Strengths

  • Systematic review and dose–response meta‑analysis of randomized controlled trials
  • Direct efficacy–tolerability comparisons across receptor selectivity with predefined outcomes

Limitations

  • Heterogeneity across trials and agents; limited long‑term outcome data
  • Potential publication bias and varying cough frequency measurement methods

Future Directions: Head‑to‑head RCTs of selective vs dual agents with patient‑reported outcomes, long‑term durability, and real‑world adherence; mechanistic studies to decouple antitussive efficacy from taste pathway engagement.

Extracellular adenosine triphosphate (ATP)-mediated purinergic signalling via P2X3 and heteromeric P2X2/3 ion channel receptors underlies hypersensitisation of vagal airway afferents in refractory chronic cough (RCC), making this pathway a key therapeutic target. Two pharmacological strategies have emerged: dual P2X2/3 receptor antagonism and selective P2X3 inhibition. While dual antagonists (gefapixant) demonstrate robust antitussive efficacy, their clinical use is limited by taste disturbance resulting from P2X2/3 inhibition in gustatory pathways. We conducted a systematic review and dose-response meta-analysis of randomised controlled trials evaluating purinergic receptor antagonists in RCC, with nine RCTs (21 active arms; N = 1,934) identified from major databases. The primary outcome was percentage change in 24-h cough frequency (24-h CF) versus placebo. Dual P2X2/3 antagonists produced greater reductions in 24-h CF than selective P2X3 antagonists (- 38.12% vs - 19.93%; p = 0.016), consistent with broader receptor blockade. However, selective P2X3 antagonists demonstrated a markedly improved safety profile, with substantially lower dysgeusia incidence (8% vs 51%; p < 0.0001), reflecting sparing of P2X2/3-mediated gustatory signalling. Dose-response analysis indicated steeper efficacy gains with dual antagonists but disproportionately higher taste-related adverse effects. Among selective agents, camlipixant (≥ 50 mg BID) achieved clinically meaningful cough reduction (- 34%) with minimal dysgeusia (5-7%). These findings demonstrate a mechanistically defined benefit-risk trade-off in purinergic receptor targeting, supporting selective P2X3 antagonism as a more favourable strategy for modulating ATP-driven airway sensory signalling in RCC while preserving tolerability.

2. Deep Learning of CT Imaging Predicts PD-L1 Expression and Immunotherapy Response in Metastatic NSCLC: A Multi-Center Study.

73Level IIICohort
Cancer letters · 2026PMID: 42314966

A CT-based ensemble transformer (SCENT) predicted PD‑L1 status with AUC 0.84 and stratified PFS/OS in metastatic NSCLC, with external validation (AUC 0.80/0.78). SCENT complemented tissue IHC—concordant low PD‑L1 by both methods identified poorest outcomes—supporting noninvasive triage and combined biomarker strategies.

Impact: Demonstrates a generalizable, noninvasive ‘virtual biopsy’ for PD‑L1 and outcomes, potentially accelerating immunotherapy decisions and reducing sampling bias.

Clinical Implications: CT‑based AI can pre-screen for PD‑L1 high likelihood and augment IHC to refine immunotherapy selection, especially when tissue is limited or heterogeneous.

Key Findings

  • SCENT predicted PD‑L1 ≥50% with AUC 0.84 (sensitivity 85.3%, specificity 83.9%); external cohorts: AUC 0.80 and 0.78.
  • SCENT‑inferred PD‑L1 stratified PFS (HR 1.49, p<0.001) and OS (HR 1.40, p=0.009), complementing tissue IHC.
  • Concordant low PD‑L1 by SCENT and IHC identified patients with poorest survival (OS HR 1.45, p=0.008).

Methodological Strengths

  • Large multi‑center cohort with two independent external validations
  • Direct linkage of AI predictions to clinical outcomes (PFS/OS) and complementary use with IHC

Limitations

  • Retrospective design with potential confounding; imaging protocols not fully standardized
  • Longitudinal PD‑L1 dynamics require prospective validation and paired post‑treatment tissue

Future Directions: Prospective trials integrating SCENT into first‑line decision pathways; harmonization of imaging; testing combined AI‑IHC strategies and adaptive treatment based on serial imaging.

Immune checkpoint inhibitors (ICIs) benefit only a subset of patients with metastatic non-small cell lung cancer (NSCLC), but current selection relies on tissue PD-L1 immunohistochemistry (IHC), which is invasive and prone to sampling bias. We developed and validated SCENT (Scalable Ensemble Transformer), a CT-based deep learning model for noninvasive prediction of PD-L1 status and immunotherapy outcomes. In this retrospective study, 972 stage IV NSCLC patients treated with ICIs at MD Anderson were analyzed; SCENT was developed and validated in 640 patients with paired CT and PD-L1 IHC, and clinical applicability was assessed in an additional 332 CT-only patients. Generalizability was evaluated in independent cohorts from Mayo Clinic (n=72) and the phase III LONESTAR trial (n=116), where paired baseline and 3-month CT enabled longitudinal assessment. SCENT classified PD-L1 status (50% or higher vs lower) in the MD Anderson cohort with AUC 0.84 (95% CI 0.799 to 0.882), specificity 83.9%, and sensitivity 85.3%, outperforming clinical and radiomics models; external validation achieved AUC 0.80 (Mayo) and 0.78 (LONESTAR). SCENT-derived PD-L1 stratified progression-free survival (HR 1.49, p<0.001) and overall survival (HR 1.40, p=0.009), comparable to IHC, and provided complementary prognostic value when combined with IHC, with concordant low-low patients showing the poorest survival (OS HR 1.45, p=0.008). In LONESTAR, serial SCENT-inferred PD-L1 status showed a borderline association with 3-month progression without paired post-treatment tissue confirmation. SCENT is a generalizable CT-based virtual biopsy for baseline PD-L1 prediction and complementary tissue IHC stratification, with longitudinal use requiring prospective validation.

3. Sugammadex vs. neostigmine and the risk of postoperative pulmonary complications after upper gastrointestinal endoscopic procedures: a propensity score matched analysis of 15,730 patients.

68.5Level IIICohort
Anaesthesia · 2026PMID: 42317106

In 15,730 matched adults undergoing upper GI endoscopy under general anesthesia, sugammadex was associated with fewer extubation failures (absolute risk reduction 1.91%; NNT 52), lower lung atelectasis, and fewer unplanned ICU admissions versus neostigmine, including in patients without chronic pulmonary disease.

Impact: Addresses a common perioperative scenario with large-scale evidence linking reversal choice to tangible respiratory outcomes.

Clinical Implications: Prefer sugammadex for neuromuscular block reversal after upper GI endoscopy under general anesthesia to reduce respiratory complications; incorporate into protocols where feasible.

Key Findings

  • Extubation failure was lower with sugammadex vs neostigmine (3.88% vs 5.79%); absolute risk reduction 1.91%, NNT 52.
  • Lower lung atelectasis/collapse (6.74% vs 7.76%) and unplanned ICU admission (8.27% vs 9.45%) with sugammadex.
  • Findings persisted in patients without chronic pulmonary disease (extubation failure 3.05% vs 4.97%; ICU 6.66% vs 8.54%).

Methodological Strengths

  • Large multicenter federated EHR dataset with propensity score matching
  • Prespecified subgroup analysis and multiple clinically relevant secondary endpoints

Limitations

  • Retrospective design with potential residual confounding
  • Outcome ascertainment reliant on coding; dosing and depth of block not standardized

Future Directions: Prospective randomized comparisons of reversal strategies across endoscopic and surgical contexts, including cost‑effectiveness and protocols for high‑risk subgroups.

INTRODUCTION: Postoperative pulmonary complications after upper gastrointestinal endoscopic procedures under general anaesthesia are clinically important and may be exacerbated by residual neuromuscular block. We evaluated whether antagonism of neuromuscular block with sugammadex rather than neostigmine is associated with improved respiratory outcomes in this setting. METHODS: We performed a retrospective multicentre cohort study using a federated health record network. Adults undergoing upper gastrointestinal endoscopy who received rocuronium and antagonism of neuromuscular blockade with either sugammadex or neostigmine were identified. Propensity score matched analysis was conducted. The primary outcome was failure of tracheal extubation, defined as postoperative ventilator dependence or tracheal reintubation within 30 days. Secondary outcomes included coded lung atelectasis and unplanned admission to an ICU. A prespecified subgroup analysis was performed in patients without chronic pulmonary disease. RESULTS: After matching, 15,730 patients were included (7865 per group). Failure of tracheal extubation occurred in 305 patients (3.88%) in the sugammadex group and 455 patients (5.79%) in the neostigmine group (risk ratio 1.49, 95%CI 1.30-1.72, p < 0.0001), an absolute risk reduction of 1.91% and a number needed to treat of 52. Sugammadex was also associated with lower rates of lung atelectasis or collapse (6.74% compared with 7.76%, p = 0.014) and unplanned ICU admission (8.27% compared with 9.45%, p = 0.009). In the subgroup without chronic pulmonary disease (4624 patient pairs), failure of tracheal extubation occurred in 3.05% and 4.97% and unplanned ICU admission in 6.66% and 8.54% after sugammadex and neostigmine, respectively (all p < 0.001). DISCUSSION: In this large cohort of adults undergoing upper gastrointestinal endoscopy, sugammadex use was associated with important reductions in tracheal extubation failure, lung atelectasis or collapse, and unplanned ICU admission compared with neostigmine, including in those patients without known chronic pulmonary disease. WHAT WE DID: We studied a large group of adults who had a camera test of their stomach or food pipe while under general anaesthesia. During these procedures, doctors used medicines to relax the muscles and then gave another medicine to reverse this effect at the end. We compared two reversal medicines, called sugammadex and neostigmine, to see which one led to better breathing outcomes after the procedure. WHY DID WE DO IT: After anaesthesia, some patients can have breathing problems if the muscle‐relaxing medicine has not fully worn off. This can lead to serious complications, like needing help to breathe again or being admitted to intensive care. We wanted to find out which reversal medicine is safer and helps patients recover their breathing more effectively. WHAT WE FOUND: We found that patients who received sugammadex were less likely to have breathing problems after their procedure compared with those who received neostigmine. They were less likely to need a breathing tube again, less likely to have parts of their lungs collapse and less likely to need unexpected care in intensive care. This was true even for patients who did not already have lung disease. Overall, sugammadex appeared to be the safer option for helping patients breathe normally again after anaesthesia.