Daily Ards Research Analysis
Safety and risk-stratification themes dominated today’s ARDS-related literature. A large pharmacovigilance analysis links trimethoprim/sulfamethoxazole to multiple severe lung injury phenotypes including ARDS with notable fatality, while a longitudinal cohort of COVID-19 ARDS patients on high-dose steroids identifies serial inflammatory biomarkers (especially NLR) that moderately predict mortality. A nationwide SLE cohort shows markedly elevated risks of diverse pulmonary complications, includin
Summary
Safety and risk-stratification themes dominated today’s ARDS-related literature. A large pharmacovigilance analysis links trimethoprim/sulfamethoxazole to multiple severe lung injury phenotypes including ARDS with notable fatality, while a longitudinal cohort of COVID-19 ARDS patients on high-dose steroids identifies serial inflammatory biomarkers (especially NLR) that moderately predict mortality. A nationwide SLE cohort shows markedly elevated risks of diverse pulmonary complications, including ARDS/hemorrhage.
Research Themes
- Drug-induced lung injury and ARDS signal detection
- Prognostic biomarkers in steroid-treated COVID-19 ARDS
- Autoimmune disease as a risk amplifier for pulmonary complications including ARDS
Selected Articles
1. Lung toxicity related to trimethoprim/sulfamethoxazole: pharmacovigilance data review.
Global pharmacovigilance signals implicate trimethoprim/sulfamethoxazole in multiple severe lung toxicities, including ARDS and acute lung injury, with a 26% fatality among reported cases. Disproportionality analyses show elevated reporting odds for ARDS (2.9), acute lung injury (7.5), eosinophilic pneumonia (4.1), and diffuse alveolar damage (3.7).
Impact: Provides quantitative safety signals linking a widely used antimicrobial to ARDS and related lung injuries, informing risk mitigation and early recognition strategies.
Clinical Implications: Maintain high suspicion for drug-induced lung injury (e.g., ARDS, ALI, eosinophilic pneumonia) in patients on TMP/SMX; prompt drug withdrawal and early diagnostic workup may reduce severe outcomes. Patient counseling on respiratory symptoms is warranted.
Key Findings
- 755 TMP/SMX-related lung toxicity cases in VigiBase with 26.1% fatal outcomes; 17 cases in the French database.
- Significantly elevated reporting odds: ARDS 2.9, acute lung injury 7.5, eosinophilic pneumonia 4.1, diffuse alveolar damage 3.7 (all with 95% CIs excluding 1).
- Interstitial lung disease was the most frequent pattern (30.5%).
Methodological Strengths
- Use of two large pharmacovigilance databases (VigiBase and FPVD).
- Formal disproportionality analysis with reporting odds ratios and confidence intervals.
Limitations
- Spontaneous reporting subject to underreporting and reporting bias; incidence rates cannot be derived.
- Causality cannot be established; limited clinical detail and confounding by indication possible.
Future Directions: Prospective pharmacoepidemiologic studies to estimate incidence and risk factors; mechanistic studies to elucidate pathogenesis; decision-support alerts to flag risk in EHRs.
BACKGROUND: Well-established side effects of trimethoprim/sulfamethoxazole include cutaneous and liver toxicity, hypersensitivity syndrome and blood dyscrasias. Trimethoprim/sulfamethoxazole has also been associated with severe lung toxicity (LT) but reports are scarce. METHODS: We investigated pharmacovigilance data and reviewed spontaneous reports of trimethoprim/sulfamethoxazole-related LT recorded in the French national pharmacovigilance database (FPVD) and the WHO global database of adverse events (VigiBase®) up to 31 December 2023. We performed disproportionality analysis to detect a possible pharmacovigilance signal. RESULTS: A total of 755 patients with trimethoprim/sulfamethoxazole-related LT were reported in VigiBase®, 17 of which were from the FPVD. In VigiBase®, interstitial lung disease was the most frequent LT pattern (30.5%). A fatal outcome was reported in 197 patients (26.1%). Significant reporting ORs were observed for the following trimethoprim/sulfamethoxazole-related LT patterns: interstitial lung disease 1.5 (95% CI: 1.3-1.7); acute respiratory distress syndrome 2.9 (95% CI: 2.5-3.5); eosinophilic pneumonia 4.1 (95% CI: 3.2-5.2); diffuse alveolar damage 3.7 (95% CI: 2.6-5.3); organizing pneumonia 2.1 (95% CI: 1.4-3.1); pulmonary toxicity 1.9 (95% CI: 1.3-2.9); acute lung injury 7.5 (95% CI: 4.9-11.6) and hypersensitivity pneumonitis 2.7 (95% CI: 1.7-4.2). CONCLUSIONS: We highlight statistically significant disproportionality for several trimethoprim/sulfamethoxazole-related LT patterns, which constitutes a pharmacovigilance signal. Trimethoprim/sulfamethoxazole-related LT is rare, but may be critical and even life-threatening. Physicians should be aware of potential trimethoprim/sulfamethoxazole-related LT and should inform their patients, since early intervention could prevent severe outcome.
2. Comprehensive risk assessment for pulmonary manifestations in systemic lupus erythematosus: a large-scale Korean population-based longitudinal study.
In a nationwide Korean cohort, SLE patients had a 3.3-fold higher risk of pulmonary manifestations than matched controls over 9.3 years, with the greatest excess risks for pulmonary hypertension and interstitial lung disease. ARDS and pulmonary hemorrhage risk was also elevated (aHR 1.85).
Impact: Quantifies population-level pulmonary risks in SLE, including ARDS/hemorrhage, informing surveillance strategies across rheumatology and pulmonology.
Clinical Implications: Implement proactive screening for pulmonary hypertension and ILD in SLE and maintain heightened vigilance for ARDS/hemorrhage during hospitalizations. Risk stratification can guide timely referral and management.
Key Findings
- SLE cohort had an adjusted hazard ratio of 3.26 for overall pulmonary manifestations versus controls.
- Highest risks observed: pulmonary hypertension (aHR 14.66) and interstitial lung disease (aHR 9.58).
- Risk of ARDS and pulmonary hemorrhage increased (aHR 1.85), along with PE, pleural disorders, TB, and lung cancer.
Methodological Strengths
- Large, population-based matched cohort with long-term follow-up.
- Comprehensive evaluation across multiple pulmonary outcomes with adjusted analyses.
Limitations
- Claims-based definitions may introduce misclassification; limited clinical granularity (e.g., imaging, biomarkers).
- Residual confounding (e.g., medications, disease activity) cannot be excluded.
Future Directions: Integrate clinical and imaging data to refine risk prediction; evaluate preventive strategies and screening intervals for high-risk SLE subgroups.
OBJECTIVES: Pulmonary involvement is common in systemic lupus erythematosus (SLE), but the relative risk of pulmonary manifestations in SLE versus non-SLE subjects remains unclear. This study aimed to evaluate the risk of pulmonary manifestations in SLE subjects compared with matched controls. METHODS: Using data from the Korean National Health Insurance Service (2009-2017), we identified 6074 individuals aged ≥20 years with newly diagnosed SLE and 60 740 matched controls by age and sex (1:10 ratio) who did not have prior pulmonary manifestations. RESULTS: Over a mean follow-up of 9.3±2.7 years, the incidence of pulmonary manifestations was 15.2 per 1000 person-years in the SLE cohort and 4.5 per 1000 person-years in the matched cohort. The SLE cohort had a significantly higher risk of pulmonary manifestations (adjusted HR (aHR) 3.26; 95% CI 2.99 to 3.56). The highest risk was observed for pulmonary hypertension (aHR 14.66; 95% CI 9.43 to 22.80), followed by interstitial lung disease (aHR 9.58; 95% CI 7.99 to 11.49), pleural disorders (aHR 3.29; 95% CI 2.84 to 3.81), pulmonary embolism (aHR 2.66; 95% CI 2.06 to 3.43), tuberculosis (aHR 2.35; 95% CI 1.88 to 2.93), acute respiratory distress syndrome and haemorrhage (aHR 1.85; 95% CI 1.51 to 2.25) and lung cancer (aHR 1.41; 95% CI 1.02 to 1.95). CONCLUSIONS: Subjects with SLE have an approximately 3.3-fold higher risk of pulmonary manifestations compared with matched controls. Notably, the risks of pulmonary hypertension and interstitial lung disease are particularly elevated.
3. Inflammatory Biomarkers Demonstrate Predictive Capacity for Mortality in COVID-19-Related ARDS Patients Receiving High-Dose Corticosteroids: A Longitudinal Analysis.
In 122 COVID-19 ARDS patients on high-dose steroids, serial inflammatory markers showed moderate mortality prediction, particularly on days 6–7; NLR was the most consistent predictor across time. Thresholds for CRP, ferritin, IL-6, and LDH provided day-specific sensitivity/specificity trade-offs.
Impact: Provides time-resolved, clinically accessible biomarkers to stratify mortality risk after initiating high-dose steroids in COVID-19 ARDS, informing monitoring and trial design.
Clinical Implications: Serial NLR, CRP, ferritin, IL-6, and LDH after steroid initiation can support prognostication and escalation decisions; day 6–7 values appear most informative. External validation is needed before protocolizing cut-offs.
Key Findings
- Among 122 patients, in-hospital mortality was 43.4%; HDS started median 7 days after ICU admission.
- Baseline predictors (moderate): ferritin >1281 µg/L (Se 62%/Sp 64%), leukocytes >13.7×10^9/L (Se 42%/Sp 79%), NLR >12.1 (Se 61%/Sp 77%).
- Day 6–7 markers had moderate predictive capacity: CRP >50 mg/L (day 6) and >42 mg/L (day 7); ferritin >1082 µg/L (day 6) and >1852 µg/L (day 7); IL-6 >67 mg/L (day 7); LDH >396 U/L (day 6) and >373 U/L (day 7). NLR remained consistently associated except on day 1.
Methodological Strengths
- Daily biomarker measurements with time-resolved logistic regression analyses.
- Focus on readily available clinical biomarkers enhances translational relevance.
Limitations
- Single-center retrospective design with modest sample size; potential selection and treatment confounding.
- COVID-19 era variability and steroid regimens limit generalizability; external validation lacking.
Future Directions: Prospective multicenter validation and integration into dynamic risk models to guide steroid tapering/escalation and adjunctive therapies.
PURPOSE: Patients with coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome (ARDS) who lack clinical improvement are frequently treated with high-dose corticosteroids (HDS). Since HDS is used to reduce hyperinflammation in these patients, levels of (pro-)inflammatory biomarkers after commencing HDS treatment could be useful in predicting mortality. This study aims to evaluate biomarker levels after commencing HDS over time, along with their capacity to predict mortality. PATIENTS AND METHODS: This retrospective cohort study included patients with COVID-19 ARDS treated with HDS in the intensive care unit (ICU) at an academic hospital in the Netherlands between March 2020-March 2022. Inflammatory biomarkers (ie, C-reactive protein (CRP), D-dimer, ferritin, leukocyte count, interleukin-6 (IL-6), lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR), and procalcitonin (PCT)) were assessed daily from start of HDS (ie baseline) until day 7. Associations between biomarker levels and all-cause-hospital-mortality were evaluated each day using logistic regression, with cut-offs identified by optimizing sensitivity (Se) and specificity (Sp). RESULTS: Of the 122 patients included, 53 (43.4%) died during hospitalization. HDS was initiated for a median 7 days (IQR=1-11) after ICU admission. At baseline, a moderately high predictive capacity for mortality was observed at a ferritin level >1281 µg/L (Se=62%/Sp=64%), leukocyte count >13.7 × 109/L (Se=42%/Sp=79%), and NLR >12.1 (Se=61%/Sp=77%). During follow-up, CRP >50 mg/L on day 6 (Se=50%/Sp=75%) and >42 mg/L on day 7 (Se=50%/Sp=75%), ferritin >1082 µg/L on day 6 (Se 63%/Sp=71%) and >1852 µg/L on day 7 (Se=31%/Sp=79%), IL-6 >67 mg/L on day 7 (Se=56%/Sp=79%) and LDH >396U/L on day 6 (Se=38%/Sp=83%) and >373 U/L on day 7 (Se=47%/Sp=72%) showed moderate capacity to predict mortality. NLR was consistently associated with mortality for all days, except day 1 (Se=36-68%/Sp=72-92%). CONCLUSION: In COVID-19 ARDS patients receiving HDS, several clinically available inflammatory biomarkers moderately predicted all-cause-hospital-mortality after the start of HDS, particularly on days 6 and 7. NLR demonstrated the most consistent association with mortality over time. The use of these markers requires validation in larger cohorts.