We compare the demographic and clinical features, laboratory and imaging findings in mycoplasma pneumoniae pneumonia (MPP) children with non-MPP (NMPP) children and general MPP (GMPP) children with refractory MPP (RMPP) children and analysis the relationship with the severity of disease. This study showed that the measurement of IL-6, LDH, IL-10 and D-dimer can be useful predictors for RMPP. There were differences in clinical characteristics and serum inflammatory markers between MPP group and NMPP group, RMPP group and GMPP group.

Cuproptosis is a novel form of copper-induced mitochondrial cell death. Researchers for the first time used three machine learning algorithms to identify cuproptosis-related genes (CRGs) in severe community-acquired pneumonia (SCAP), a major cause of acute respiratory distress syndrome (ARDS). This article found that CRGs were involved in immune cell infiltration and constructed a three-gene model to predict SCAP onset.

The peripheral blood of patients with sepsis-induced ALI was obtained, and the levels of inflammatory factors (interleukin-6 [IL-6], C-reactive protein [CRP], and procalcitonin [PCT]) were determined. Meanwhile, T lymphocyte subsets (CD3+, CD4+, and CD8+) and immunoglobulins (IgA, IgM, and IgG) were tested. miR-126-5p and TRAF6 mRNA expression in plasma was assessed. Receiver operating characteristic (ROC) curve was performed to assess the diagnostic accuracy of miR-126-5p in sepsis without ALI and sepsis with ALI. Correlation between miR-126-5p expression and clinical indicators was analyzed. The targeting relationship between miR-126-5p and TRAF6 was verified.

Table 1. Clinical characteristics of patients with COPD and healthy controls.

A man presented with vision losing as an initial presentation and ophthalmofundoscopy with PET/CT confirmed the bilateral choroidal metastases from lung cancer. His visions were rapidly improved after 5 days of icotinib treatment with progression-free survival for up to 17 months. Icotinib following by almonertinib was an alternative therapy for choroidal metastasis of lung cancer.

Patients with ALI were cataloged into the survival group and death group according to the prognosis. The relative expression of lncRNA UCA1, the scores of EVLWI, and the LUS score were detected in patients with ALI. The ROC curve and the logistic regression analysis showed that highly expressed UCA1 was a biomarker in forecasting the outcome of patients with ALI. It had high accuracy in predicting the endpoint of patients with ALI when combined with LUS and EVLWI.

Bronchial artery embolization is a safe and effective treatment option for the control of massive hemoptysis in pulmonary tuberculosis patients.

We conducted air pollutants (SO₂, NO₂ and PM₁₀) and COPD hospitalizations and mortality in Beijing, China. SO₂ and PM₁₀ may be important factors for the increase in COPD hospital admissions. In recent years, air pollution has decrease significantly in Beijing.

After close data analysis and careful evaluation of machine learning algorithms, clinical indicators belonged to significant predictors of pulmonary disease diagnosis. We chose the embedded method using three feature selection approaches to perform the prediction analysis, then performed machine learning algorithms as the model backbones, and combined them with three feature selection methods, respectively, to determine the optimal predictive model.

A qualitative study of carers and patients with chronic breathlessness found patients suffer from lack of awareness, discontinuity of care, and too few clinical and self-management options. To improve outcomes, community perspectives, practice, and system changes are required to improve identification, shorten time to diagnosis, provide wider treatment options especially nonpharmacologic support, and to empower patients to self-manage.