Clinical phenotypes from fatal cases of acute respiratory distress syndrome caused by pneumonia.

There have been no report of objective clinical characteristics or prognostic factors that predict fatal outcome of acute respiratory distress syndrome (ARDS) since the Berlin definition was published. The aim of this study is to identify clinically available predictors that distinguish between two phenotypes of fatal ARDS due to pneumonia. In total, 104 cases of Japanese patients with pneumonia-induced ARDS were extracted from our prospectively collected database. Fatal cases were divided into early (< 7 days after diagnosis) and late (≥ 7 days) death groups, and clinical variables and prognostic factors were statistically evaluated. Of the 50 patients who died within 180 days, 18 (36%) and 32 (64%) were in the early (median 2 days, IQR [1, 5]) and late (median 16 days, IQR [13, 29]) death groups, respectively. According to multivariate regression analyses, the APACHE II score (HR 1.25, 95%CI 1.12-1.39, p < 0.001) and the disseminated intravascular coagulation score (HR 1.54, 95%CI 1.15-2.04, p = 0.003) were independent prognostic factors for early death. In contrast, late death was associated with high-resolution computed tomography (HRCT) score indicating early fibroproliferation (HR 1.28, 95%CI 1.13-1.42, p < 0.001) as well as the disseminated intravascular coagulation score (HR 1.24, 95%CI 1.01-1.52, p = 0.039). The extent of fibroproliferation on HRCT, and the APACHE II scores along with coagulation abnormalities, should be considered for use in predictive enrichment and personalized medicine for patients with ARDS due to pneumonia.

Comparisons between tumor burden and other prognostic factors that influence survival of patients with non-small cell lung cancer treated with immune checkpoint inhibitors.

BACKGROUND: The use of baseline tumor burden (TB) as a prognostic factor for non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs) and associations between TB and other prognostic biomarkers remain unclear. In this study, we investigated the association between TB and survival in NSCLC patients treated with ICIs in comparison with other biomarkers. METHODS: We retrospectively evaluated 83 NSCLC patients with ICIs administered between February 2016 and December 2018. TB was measured as the sum of the unidimensional diameters of up to five target lesions. RESULTS: The median observation period was 14.2 months. A total of 42 patients died during the follow-up. Univariate Cox regression analysis showed that baseline TB was associated with OS. Cox regression analysis adjusted for Eastern Cooperative Oncology Group performance status (ECOG PS) alone or with addition of programmed cell death ligand 1 expression and treatment line showed that TB was a prognostic factor for OS. Using time-dependent receiver operating characteristic curve analysis, the optimal TB cutoff for predicting OS was 12 cm, and patients were divided into a high TB group (n = 21) and a low TB group (n = 62). The low TB group achieved significantly longer OS than the high TB group (median OS: 18.5 months, [95% CI = 11.7-not reached] vs. 2.3 months [95% CI = 1.3-2.9], P < 0.001). CONCLUSION: TB is a useful, clinically measurable prognostic factor of survival in NSCLC patients treated with ICIs.

The association between tumor burden and severe immune-related adverse events in non-small cell lung cancer patients responding to immune-checkpoint inhibitor treatment.

OBJECTIVES: The use of immune checkpoint inhibitors (ICIs) for advanced non-small cell lung cancer (NSCLC) has demonstrated survival benefits, although some treatment responders (defined as patients with non-progressive disease) are forced to discontinue treatment because of severe immune-related adverse events (irAEs). An association between treatment efficacy and irAEs has been reported. However, it is unclear which treatment responders are likely to develop severe irAEs. We aimed to examine risk factors for ICI-related severe irAEs in patients with NSCLC. MATERIALS AND METHODS: Between February 2016 and October 2018, we retrospectively evaluated 42 patients with NSCLC at our institution who responded to ICI treatment. Tumor burden was measured as the sum of the unidimensional diameters of up to five target lesions, according to the Response Evaluation Criteria in Solid Tumors version 1.1. RESULTS: ICIs were discontinued in 15 of 42 treatment responders because of severe irAEs. Tumor burden was a significant independent predictor of severe irAEs (p = 0.03). The odds ratio of severe irAEs and tumor burden over 90 mm was 8.62 (95% confidence interval = 1.96-37.9, p = 0.004). CONCLUSION: A high tumor burden was a risk factor for severe irAEs in patients with NSCLC who responded to ICI treatment.