Respiratory Medicine and Research最新文献

Background

Computational advances in artificial intelligence have led to the recent emergence of U-Net convolutional neural networks (CNNs) applied to medical imaging. Our objectives were to assess the progression of fibrotic interstitial lung disease (ILD) using routine CT scans processed by a U-Net CNN developed by our research team, and to identify a progression threshold indicative of poor prognosis.

Methods

CT scans and clinical history of 32 patients with idiopathic fibrotic ILDs were retrospectively reviewed. Successive CT scans were processed by the U-Net CNN and ILD quantification was obtained. Correlation between ILD and FVC changes was assessed. ROC curve was used to define a threshold of ILD progression rate (PR) to predict poor prognostic (mortality or lung transplantation). The PR threshold was used to compare the cohort survival with Kaplan Mayer curves and log-rank test.

Results

The follow-up was 3.8 ± 1.5 years encompassing 105 CT scans, with 3.3 ± 1.1 CT scans per patient. A significant correlation between ILD and FVC changes was obtained (p = 0.004, ρ = -0.30 [95% CI: -0.16 to -0.45]). Sixteen patients (50%) experienced unfavorable outcome including 13 deaths and 3 lung transplantations. ROC curve analysis showed an aera under curve of 0.83 (p < 0.001), with an optimal cut-off PR value of 4%/year. Patients exhibiting a PR ≥ 4%/year during the first two years had a poorer prognosis (p = 0.001).

Conclusions

Applying a U-Net CNN to routine CT scan allowed identifying patients with a rapid progression and unfavorable outcome.

Background

Data on long-term survivors with advanced non-small-cell lung cancer (NSCLC) treated with nivolumab are available from randomized trials. Characteristics, management, and healthcare resources of those patients need to be confirmed with real-world data.

Methods

The UNIVOC retrospective observational study included all patients with advanced NSCLC recorded in the French national hospital database starting nivolumab in 2015 and followed them until December 2020. The Kaplan-Meier method estimated the overall survival (OS). A machine learning approach identified patients with similar treatment sequences.

Results

Within the 3,050 patients who had nivolumab initiation,5-year OS rate was 14.6 % (95 %CI 13.3 %–16.2 %). In total, data covering at least 5 years of follow-up were retrieved for 231 surviving patients. Survivors were younger, often female and had fewer comorbidities than non-survivors. Three clusters of patients with different nivolumab treatment durations were identified: 1/ Continuous nivolumab treatment; 2/ Long period of nivolumab treatment followed by chemotherapy or no treatment; 3/ Short period of nivolumab treatment then chemotherapy or no treatment. At 5 years, 61.0 % of survivors were no longer receiving systemic therapy, 26.4 % were treated with nivolumab, 8.7 % chemotherapy, and 3.9 % other immunotherapies. Among 5-y survivor patients, the average number of hospitalisations per patient decreased from 23.4 to 12.8 between the 1st and the 5th year. In the 5th year, 46 % of patients had no more hospitalization for lung cancer.

Conclusions

This large nationwide study confirms the long-term benefit of nivolumab treatment for advanced NSCLC patients in the real-world setting, with a 5-year survival rate similar to that reported in clinical trials.

Aim

To establish amongst a cohort of patients admitted with Chronic Obstructive Pulmonary Disease which factors were associated with their level of Physical Activity and Sedentary Behavior prior to the admission event.

Methods

Prospective observational cohort study. Nine Spanish hospitals participated. Patients were recruited consecutively. Variables relating to the patients' clinical baseline status were recorded, including the COPD Assessment test, the HADS anxiety-depression test, comorbidities and the Yale Physical Activity Survey. Data relating to admission and up to two months after discharge were also recorded.

Results

1638 COPD patients were studied, with a mean age of 72.39 (SD 10.33), 76.56 % male, FEV1 49.41 % (SD19.19), Charlson index 2. The level of PA at baseline was 30.79 points (SD 22.43). Multivariable linear regression analysis identified the following as being associated with low PA: older age, obesity, higher level of hemoglobin, lower score of Barthel index, which means disability, health related quality of life (EuroQoL-5d and CAT) and dyspnea. Variables associated with sedentary behavior were: older age, presence of obstructive apnea syndrome, higher disability, presence of depressive symptoms and dyspnea.

Conclusions

In a cohort of hospitalized COPD patients, we have found several variables, some of them modifiable, associated with physical activity/inactivity and sedentary behavior.

COVID-19 remains a health care concern despite the end of the pandemic. Patients with cardiovascular disease (CVD) are at a higher risk for developing severe COVID-19 complications. Studies investigating the COVID-19 clinical characteristics in pulmonary arterial hypertension (PAH) patients have reported discordant conclusions so far. In this review, we summarize the literature pertaining to the clinical presentation of COVID-19 in patients with PAH. In addition, we discuss common pathological aspects and disease mechanisms between PAH and COVID-19. We present an overview of the different types of PAH-approved therapy and their potential utilization as a treatment in the context of COVID-19. Moreover, we summarize the clinical trials that assessed the safety and efficiency of PAH-approved drugs in COVID-19 patients. Finally, we conclude with proposals for prospective research studies.

Backgroud

Management of severe COVID-19 patients admitted to ICU considerably evolved during the first months of the pandemic. It is unclear, however, whether these changes improved long-term survival of these critically ill patients.

Methods

We conducted a retrospective cohort study in adults with COVID-19 pneumonia admitted to a French ICU between February 2020 and January 2021, a timeframe that covered the first two waves of the pandemic. Primary outcome was to compare long-term survival between the first and second waves. Survival predictor were identified using a Cox proportional-hazards model.

Results

We included 265 patients in the cohort: 140 (52.8 %) and 125 (47.2 %) belonging to the first and second waves, respectively. Baseline characteristics of the patients were similar between the two waves. During W2, use of early corticotherapy increased (86.4% vs. 17.8 %; p <0.001), as well as high-flow oxygen therapy use (68.5% vs. 37.4 %; p<0.001). Need for invasive mechanical ventilation decreased (49.6% vs. 72.9 %; p <0.001) and ICU length of stay was shorter (11 [6–22] vs 19 [8–32]days; p = 0.008). ICU mortality was 32.8 % without significant difference between waves. Survival analysis revealed that 3 variables were independently associated with a worse long-term prognosis: a higher SAPS II score (1.05 [1.04–1.06]; p<0.001), a higher age (1.05 [1.01–1.08]; p = 0.005) and admission during W2 (2.22 [1.15–4.28]; p = 0.017).

Discussion

Despite substantial changes on management of severe COVID-19 patients, we observed a decreased long-term survival among patients admitted during the second wave. We also noted a shorter ICU length of stay.

Background

Tocilizumab is presumed to be an effective and safe treatment for severe SARS-Cov-2, but its usefulness has not been investigated yet for long-term outcomes. This study aimed to evaluate the influence of tocilizumab on mortality in patients with SARS-CoV-2 throughout the year following discharge.

Methods

A retrospective observational analysis was performed on electronic medical records of patients with SARS-CoV2 who were discharged from our hospital after surviving the first wave in March-April 2020. Logistic regression was used to analyse the effect of tocilizumab on mortality, as the main outcome, and propensity-score analysis to further validate their effect. Secondary outcomes were readmissions, persistent symptoms and lung function evolution. Patients were selected by matching their individual propensity for receiving therapy with tocilizumab, conditional on their demographic and clinical variables.

Results

A total of 405 patients were included in the mortality study (33.6 % were treated with tocilizumab) and 390 were included in the assessment of persistent symptoms. After propensity-score analysis, no association between tocilizumab use and 1-year overall mortality was found (HR= 2.05, 95 % CI: 0.21–19.98). No differences regarding persistent symptoms (OR= 1.01 95 %CI 0.57–1.79), nor lung function parameters (forced vital capacity: coefficient -0.16 95 %CI -0.45 to 0.14) were found throughout the year follow-up between control and tocilizumab group.

Conclusions

The administration of tocilizumab in patients with SARS-CoV-2 did not show any effect on long-term mortality. Identically, no association were found regarding readmissions, persistent symptoms or lung function evolution and tocilizumab administration in our cohort of patients after 1 year follow-up.