Pub Date : 2026-01-22DOI: 10.1183/13993003.02204-2025
Ben Knox-Brown,Lucy Robertson,Andre F S Amaral,Karl P Sylvester
BACKGROUNDThe FEV1Q is a physiological quotient reflecting the distance a measured FEV1 is from a 1st percentile (minimally survivable) value. We aimed to derive physiological quotients for other lung function measures and assess their association with all-cause mortality.METHODSWe analysed data from adults referred for lung function testing at Cambridge University Hospital (CUH) and Royal Papworth Hospital (RPH) between 2016 and 2024. We investigated the stability of the 1st percentiles for FEV1, FVC, FEV1/FVC, DLCO, KCO, VA, and TLC stratified by sex and age group by visualising the overlap of 95% confidence intervals. We calculated physiological quotients for each parameter (measured value/1st percentile) and investigated their association with all-cause mortality using Cox regression analysis. We used Harrell's C statistics to compare discriminative performance.RESULTSWe analysed data from 7717 CUH patients and 6054 RPH patients. At CUH, 51% were female, compared to 45% at RPH. Mean age was 57.9 (sd 14.9) years at CUH and 62.7 (sd 14.8) at RPH. 1st percentile values were generally consistent across age groups but different for males and females for FEV1, FVC, VA, and TLC. For FEV1/FVC, DLCO, and KCO 1st percentile values were generally stable across both age and sex. Mean follow-up times were 5.8 (sd 2.6) years at CUH and 5.5 (sd 2.7) years at RPH, during which time 19% and 39% of patients died respectively. Physiological quotients had higher Harrell's C statistics, indicating better discrimination of survival than lung function expressed as raw units, z-scores and percent predicted.CONCLUSIONPhysiological quotients have greater discriminative ability in the prediction of all-cause mortality than existing metrics, providing an alternative standard for lung function interpretation.
{"title":"Physiological quotients and mortality: redefining lung function interpretation beyond FEV1.","authors":"Ben Knox-Brown,Lucy Robertson,Andre F S Amaral,Karl P Sylvester","doi":"10.1183/13993003.02204-2025","DOIUrl":"https://doi.org/10.1183/13993003.02204-2025","url":null,"abstract":"BACKGROUNDThe FEV1Q is a physiological quotient reflecting the distance a measured FEV1 is from a 1st percentile (minimally survivable) value. We aimed to derive physiological quotients for other lung function measures and assess their association with all-cause mortality.METHODSWe analysed data from adults referred for lung function testing at Cambridge University Hospital (CUH) and Royal Papworth Hospital (RPH) between 2016 and 2024. We investigated the stability of the 1st percentiles for FEV1, FVC, FEV1/FVC, DLCO, KCO, VA, and TLC stratified by sex and age group by visualising the overlap of 95% confidence intervals. We calculated physiological quotients for each parameter (measured value/1st percentile) and investigated their association with all-cause mortality using Cox regression analysis. We used Harrell's C statistics to compare discriminative performance.RESULTSWe analysed data from 7717 CUH patients and 6054 RPH patients. At CUH, 51% were female, compared to 45% at RPH. Mean age was 57.9 (sd 14.9) years at CUH and 62.7 (sd 14.8) at RPH. 1st percentile values were generally consistent across age groups but different for males and females for FEV1, FVC, VA, and TLC. For FEV1/FVC, DLCO, and KCO 1st percentile values were generally stable across both age and sex. Mean follow-up times were 5.8 (sd 2.6) years at CUH and 5.5 (sd 2.7) years at RPH, during which time 19% and 39% of patients died respectively. Physiological quotients had higher Harrell's C statistics, indicating better discrimination of survival than lung function expressed as raw units, z-scores and percent predicted.CONCLUSIONPhysiological quotients have greater discriminative ability in the prediction of all-cause mortality than existing metrics, providing an alternative standard for lung function interpretation.","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":"42 1","pages":""},"PeriodicalIF":24.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22Print Date: 2026-01-01DOI: 10.1183/13993003.00742-2025
Emanuele Rezoagli, John G Laffey, Fabiana Madotto, Alessandro Protti, Tai Pham, Antonio Pesenti, Giacomo Bellani, Laurent Brochard
Background: We aimed to assess the prognostic performance of different indexes of oxygenation, respiratory mechanics and ventilation intensity in predicting 90-day mortality, and to estimate their independent associations, in a "real-world" observational cohort of acute respiratory distress syndrome (ARDS) patients on intensive care unit (ICU) mortality.
Methods: This is a secondary analysis of LUNG SAFE (Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE), an international prospective cohort study of patients with severe respiratory failure involving 459 ICUs from 50 countries. We evaluated the prognostic performance of oxygenation (arterial oxygen tension (PaO2 )/inspiratory oxygen fraction (FIO2 )), respiratory mechanics (normalised elastance) and ventilation intensity (plateau pressure (Pplat), driving pressure (DP), 4DP+respiratory rate (RR) and mechanical power (MP)) measured on day 1 of controlled mechanical ventilation in ARDS patients, with respect to ICU mortality within 90 days of admission. For each parameter, associations with mortality were assessed using logistic regression models, estimating effect sizes (odds ratios with 95% confidence interval), model discrimination (area under the receiver operating characteristic curve), calibration and overall predictive accuracy.
Results: Among 2813 early ARDS patients, 516 (18.3%) met the inclusion criteria: mean±sd age 60±16 years, 61% male. Normalised elastance, Pplat, DP and 4DP+RR were significantly associated with mortality, with adjusted ORs ranging from 1.02 (95% CI 1.01-1.03) for 4DP+RR to 1.48 (95% CI 1.15-1.95) for normalised elastance. These parameters showed higher predictive accuracy for mortality compared with PaO2 /FIO2 and MP. MP showed a U-shaped relationship with mortality but was not significantly associated with it. Its predictive accuracy decreased after accounting for positive end-expiratory pressure (PEEP) and dynamic resistance, with PEEP also demonstrating a U-shaped association with mortality.
Conclusions: Normalised elastance, DP and 4DP+RR, measured at day 1 of ARDS, were the best predictors of ICU mortality, and outperformed oxygenation and MP. DP showed the best balance between predictive accuracy and clinical simplicity. These results reinforce the importance of focusing on DP and 4DP+RR as key metrics to guide lung-protective strategies and ARDS severity classification.
{"title":"Prognostic value of disease severity and mechanical ventilation intensity in acute respiratory distress syndrome: analysis of the LUNG SAFE cohort.","authors":"Emanuele Rezoagli, John G Laffey, Fabiana Madotto, Alessandro Protti, Tai Pham, Antonio Pesenti, Giacomo Bellani, Laurent Brochard","doi":"10.1183/13993003.00742-2025","DOIUrl":"10.1183/13993003.00742-2025","url":null,"abstract":"<p><strong>Background: </strong>We aimed to assess the prognostic performance of different indexes of oxygenation, respiratory mechanics and ventilation intensity in predicting 90-day mortality, and to estimate their independent associations, in a \"real-world\" observational cohort of acute respiratory distress syndrome (ARDS) patients on intensive care unit (ICU) mortality.</p><p><strong>Methods: </strong>This is a secondary analysis of LUNG SAFE (Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE), an international prospective cohort study of patients with severe respiratory failure involving 459 ICUs from 50 countries. We evaluated the prognostic performance of oxygenation (arterial oxygen tension (<i>P</i> <sub>aO<sub>2</sub></sub> )/inspiratory oxygen fraction (<i>F</i> <sub>IO<sub>2</sub></sub> )), respiratory mechanics (normalised elastance) and ventilation intensity (plateau pressure (<i>P</i> <sub>plat</sub>), driving pressure (DP), 4DP+respiratory rate (RR) and mechanical power (MP)) measured on day 1 of controlled mechanical ventilation in ARDS patients, with respect to ICU mortality within 90 days of admission. For each parameter, associations with mortality were assessed using logistic regression models, estimating effect sizes (odds ratios with 95% confidence interval), model discrimination (area under the receiver operating characteristic curve), calibration and overall predictive accuracy.</p><p><strong>Results: </strong>Among 2813 early ARDS patients, 516 (18.3%) met the inclusion criteria: mean±sd age 60±16 years, 61% male. Normalised elastance, <i>P</i> <sub>plat</sub>, DP and 4DP+RR were significantly associated with mortality, with adjusted ORs ranging from 1.02 (95% CI 1.01-1.03) for 4DP+RR to 1.48 (95% CI 1.15-1.95) for normalised elastance. These parameters showed higher predictive accuracy for mortality compared with <i>P</i> <sub>aO<sub>2</sub></sub> /<i>F</i> <sub>IO<sub>2</sub></sub> and MP. MP showed a U-shaped relationship with mortality but was not significantly associated with it. Its predictive accuracy decreased after accounting for positive end-expiratory pressure (PEEP) and dynamic resistance, with PEEP also demonstrating a U-shaped association with mortality.</p><p><strong>Conclusions: </strong>Normalised elastance, DP and 4DP+RR, measured at day 1 of ARDS, were the best predictors of ICU mortality, and outperformed oxygenation and MP. DP showed the best balance between predictive accuracy and clinical simplicity. These results reinforce the importance of focusing on DP and 4DP+RR as key metrics to guide lung-protective strategies and ARDS severity classification.</p>","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":" ","pages":""},"PeriodicalIF":21.0,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12824632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22DOI: 10.1183/13993003.01804-2025
Weiliang Cao
{"title":"Optimal dosing and duration of linezolid in multidrug-resistant tuberculosis: methodological and clinical appraisal.","authors":"Weiliang Cao","doi":"10.1183/13993003.01804-2025","DOIUrl":"https://doi.org/10.1183/13993003.01804-2025","url":null,"abstract":"","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":"263 1","pages":""},"PeriodicalIF":24.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22DOI: 10.1183/13993003.01875-2025
Thi A Nguyen,Anh T Nguyen,Luong V Dinh,Hoa B Nguyen,Hoa D Vu,Tram N B Nguyen,Dang Vu,Nieko C Punt,Greg J Fox,Sophie L Stocker,Jan-Willem C Alffenaar
BACKGROUNDTherapeutic drug monitoring may optimise treatment outcomes in patients with multidrug-resistant tuberculosis, yet current methods are invasive and resource-intensive. This study evaluated the feasibility of using saliva point-of-care testing to screen for suboptimal exposure to levofloxacin and linezolid.METHODSWe conducted a community-based cross-sectional study in Vietnam (2021-2023). Drug concentrations were measured in paired plasma and saliva samples at 0, 2 and 5 h post dose, using a point-of-care test (NanoPhotometer®) in comparison with liquid chromatography mass spectrometry. Drug exposure (area under the curve from 0 to 24 h) was calculated using Bayesian population pharmacokinetic approach (Edsim++). Therapeutic targets were defined as a free area under the curve to minimum inhibitory concentration ratio of 160 for levofloxacin and 125 for linezolid. Receiver operating characteristic curve analyses were conducted to determine optimal saliva thresholds for predicting sub- or supra-therapeutic plasma exposure.RESULTSA saliva exposure threshold of 70.3 mg·h·L-1 accurately identified 16 of 19 patients with subtherapeutic levofloxacin plasma exposure (sensitivity 84%, specificity 78%, N=60). For linezolid (N=17), saliva testing correctly identified the only patient with subtherapeutic exposure and the only one with supratherapeutic exposure. However, no saliva exposure thresholds could be determined.CONCLUSIONSSaliva-based point-of-care testing may predict the plasma drug exposure of levofloxacin and linezolid, and thus enabling the detection of patients at risk of suboptimal drug exposure. This non-invasive tool warrants further investigation to establish saliva-based threshold for linezolid and to evaluate clinical impact and cost-effectiveness of saliva-guided drug dosing.
{"title":"Saliva point-of-care testing for suboptimal levofloxacin and linezolid exposure in multidrug-resistant tuberculosis.","authors":"Thi A Nguyen,Anh T Nguyen,Luong V Dinh,Hoa B Nguyen,Hoa D Vu,Tram N B Nguyen,Dang Vu,Nieko C Punt,Greg J Fox,Sophie L Stocker,Jan-Willem C Alffenaar","doi":"10.1183/13993003.01875-2025","DOIUrl":"https://doi.org/10.1183/13993003.01875-2025","url":null,"abstract":"BACKGROUNDTherapeutic drug monitoring may optimise treatment outcomes in patients with multidrug-resistant tuberculosis, yet current methods are invasive and resource-intensive. This study evaluated the feasibility of using saliva point-of-care testing to screen for suboptimal exposure to levofloxacin and linezolid.METHODSWe conducted a community-based cross-sectional study in Vietnam (2021-2023). Drug concentrations were measured in paired plasma and saliva samples at 0, 2 and 5 h post dose, using a point-of-care test (NanoPhotometer®) in comparison with liquid chromatography mass spectrometry. Drug exposure (area under the curve from 0 to 24 h) was calculated using Bayesian population pharmacokinetic approach (Edsim++). Therapeutic targets were defined as a free area under the curve to minimum inhibitory concentration ratio of 160 for levofloxacin and 125 for linezolid. Receiver operating characteristic curve analyses were conducted to determine optimal saliva thresholds for predicting sub- or supra-therapeutic plasma exposure.RESULTSA saliva exposure threshold of 70.3 mg·h·L-1 accurately identified 16 of 19 patients with subtherapeutic levofloxacin plasma exposure (sensitivity 84%, specificity 78%, N=60). For linezolid (N=17), saliva testing correctly identified the only patient with subtherapeutic exposure and the only one with supratherapeutic exposure. However, no saliva exposure thresholds could be determined.CONCLUSIONSSaliva-based point-of-care testing may predict the plasma drug exposure of levofloxacin and linezolid, and thus enabling the detection of patients at risk of suboptimal drug exposure. This non-invasive tool warrants further investigation to establish saliva-based threshold for linezolid and to evaluate clinical impact and cost-effectiveness of saliva-guided drug dosing.","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":"1 1","pages":""},"PeriodicalIF":24.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22Print Date: 2026-01-01DOI: 10.1183/13993003.01459-2025
Marc Humbert, Paul M Hassoun, Kelly M Chin, Guillermo Bortman, Humberto Garcia-Aguilar, Carmen La Rosa, Mackenzie Ford, Wei Fu, PoYao Niu, Maria José Loureiro, Marius M Hoeper
{"title":"Long-term safety and tolerability of frespaciguat: the INSIGNIA-PAH extension.","authors":"Marc Humbert, Paul M Hassoun, Kelly M Chin, Guillermo Bortman, Humberto Garcia-Aguilar, Carmen La Rosa, Mackenzie Ford, Wei Fu, PoYao Niu, Maria José Loureiro, Marius M Hoeper","doi":"10.1183/13993003.01459-2025","DOIUrl":"10.1183/13993003.01459-2025","url":null,"abstract":"","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":" ","pages":""},"PeriodicalIF":21.0,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12824630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145512321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reply to: Optimal dosing and duration of linezolid in multidrug-resistant tuberculosis: methodological and clinical appraisal.","authors":"Nakwon Kwak,Joong-Yub Kim,Areum Han,Seokyung Hahn,Jae-Joon Yim","doi":"10.1183/13993003.02064-2025","DOIUrl":"https://doi.org/10.1183/13993003.02064-2025","url":null,"abstract":"","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":"6 1","pages":""},"PeriodicalIF":24.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDSAccurate risk stratification is crucial for guiding therapy in medically treated chronic thromboembolic pulmonary hypertension (CTEPH), where inflammation plays a key pathogenic role. This study aimed to identify and validate prognostic inflammatory biomarkers in medically treated CTEPH, with the goal of refining risk assessment and improving clinical management.METHODSThis dual-cohort study enrolled 576 medically treated CTEPH patients (discovery: 372; validation: 204) from 2009-2021. Plasma levels of inflammatory biomarkers, including soluble suppression tumorigenicity 2 (sST2), Galectin-3, and a panel of cytokines were measured in all participants. The study endpoint was all-cause mortality. The prognostic significance of inflammatory markers was evaluated using Kaplan-Meier survival analysis, Cox regression models, C-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).RESULTSPlasma sST2 and interleukin-6 (IL-6) were identified as predictors of survival, and remained robust predictors of mortality after comprehensive adjustment for clinical covariates in both cohorts. Risk stratification using the sST2/IL-6 panel revealed distinct 5-year survival gradients: high sST2/high IL-6 (34.4%), low sST2/high IL-6 (61.4%), high sST2/low IL-6 (78.3%), and low sST2/low IL-6 (90.5%) in the discovery cohort (p<0.001), with consistent validation. Furthermore, integrating the sST2/IL-6 panel with existing risk models (COMPERA, COMPERA 2.0, FPHN invasive, FPHN noninvasive, and REVEAL2.0) significantly enhanced their prognostic discriminatory power, as evidenced by increased C-indexes, NRI and IDI in both cohorts.CONCLUSIONSsST2 and IL-6 are independent prognostic biomarkers in medically treated CTEPH. Their combined use enhances risk stratification and adds incremental value to existing risk models.
{"title":"sST2 and IL-6 predict prognosis of medically treated chronic thromboembolic pulmonary hypertension.","authors":"Chao Liu,Bao-Chen Qiu,Shuang-Ping Li,Jing-Si Ma,Meng-Yi Liu,Si-Jin Zhang,Xi-Jie Zhu,Yin-Jian Yang,Tian-Yu Lian,Ying-Ying Cheng,Hui-Hui Xu,Yu-Ping Zhou,Jing-Hui Li,Wen-Hui Wu,Xi-Qi Xu,Yi-Min Mao,Chun-Yan Cheng,Xin Jiang,Kai Sun,Ze-Jian Zhang,Zhi-Cheng Jing","doi":"10.1183/13993003.02367-2025","DOIUrl":"https://doi.org/10.1183/13993003.02367-2025","url":null,"abstract":"BACKGROUNDSAccurate risk stratification is crucial for guiding therapy in medically treated chronic thromboembolic pulmonary hypertension (CTEPH), where inflammation plays a key pathogenic role. This study aimed to identify and validate prognostic inflammatory biomarkers in medically treated CTEPH, with the goal of refining risk assessment and improving clinical management.METHODSThis dual-cohort study enrolled 576 medically treated CTEPH patients (discovery: 372; validation: 204) from 2009-2021. Plasma levels of inflammatory biomarkers, including soluble suppression tumorigenicity 2 (sST2), Galectin-3, and a panel of cytokines were measured in all participants. The study endpoint was all-cause mortality. The prognostic significance of inflammatory markers was evaluated using Kaplan-Meier survival analysis, Cox regression models, C-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).RESULTSPlasma sST2 and interleukin-6 (IL-6) were identified as predictors of survival, and remained robust predictors of mortality after comprehensive adjustment for clinical covariates in both cohorts. Risk stratification using the sST2/IL-6 panel revealed distinct 5-year survival gradients: high sST2/high IL-6 (34.4%), low sST2/high IL-6 (61.4%), high sST2/low IL-6 (78.3%), and low sST2/low IL-6 (90.5%) in the discovery cohort (p<0.001), with consistent validation. Furthermore, integrating the sST2/IL-6 panel with existing risk models (COMPERA, COMPERA 2.0, FPHN invasive, FPHN noninvasive, and REVEAL2.0) significantly enhanced their prognostic discriminatory power, as evidenced by increased C-indexes, NRI and IDI in both cohorts.CONCLUSIONSsST2 and IL-6 are independent prognostic biomarkers in medically treated CTEPH. Their combined use enhances risk stratification and adds incremental value to existing risk models.","PeriodicalId":12265,"journal":{"name":"European Respiratory Journal","volume":"22 1","pages":""},"PeriodicalIF":24.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}