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Introduction: Endobronchial metastases (EBMs) are rare, with primary tumours predominantly of breast, renal, and colorectal origin. Bronchoscopy is the diagnostic gold standard, with histological confirmation through immunohistochemical study., Cases: We presented three cases of EBMs, one secondary to colorectal cancer and two associated with renal tumours. EBM unveiled the extra-thoracic neoplasm in colorectal cancer and was incidentally discovered during renal cancer follow-up. Bronchoscopy revealed an obstructive endobronchial mass in two cases. Histological diagnosis was established via bronchial biopsies (collecting duct renal carcinoma), computed tomography-guided transparietal lung biopsy (clear cell renal carcinoma), and endobronchial mass resection through rigid bronchoscopy (colorectal adenocarcinoma)., Conclusion: In case of an endobronchial lesion, the diagnosis of EBM should be evoked especially when the medical history reports extra-thoracic neoplasms. This diagnostic hypothesis guides the histological diagnosis and leads to an appropriate treatment.

Background: COVID-19 disease has spread rapidly worldwide, causing high mortality. Accessible biomarkers capable of early identification of patients at risk of severe form are needed in clinical practice. The aim of the study was to determine the biological markers that predict a critical condition., Methods: Retrospective study including patients with confirmed COVID-19 hospitalized between September 2020 and June 2021. The primary endpoint was progression to critical status within 7 days from admission. We defined two groups:Critical group: Patients who developed a critical condition or died or transferred to the ICU before or at 7 th day.Non-critical group: Patients who remained in non-critical respiratory status until 7 th day or discharged before or at 7 th day., Results: Our study included 456 patients, with a sex ratio of 1.32 and an average age of 62 years. At the 7 th day of hospitalization, 115 (25.2%) patients were in the critical group and 341 (74.8%) patients were in the non-critical group. The univariate logistic regression indicated that laboratory findings between non-critical and critical groups showed that C-reactive protein (CRP) (p=0.047), D-Dimer (p=0.011), creatinine (0.026), creatine kinase (p=0.039), lactate dehydrogenase (p=0.04), and troponin (p=0.001) were all higher among patients in critical group. However, lymphocyte (p<0.001) and platelet (p<0.001) counts were significantly lower among the critical group. Multivariate logistic regression model, identified four independent risk factors: lymphopenia (OR=2.771, 95%CI=1.482-5.181, p=0.001), Neutrophil to Lymphocyte Ratio (NLR) (OR=2.286, 95%CI=1.461-3.578, p<0.001), thrombocytopenia (OR=1.944, 95%CI=1.092-3.459, p=0.024), and CRP>71.5 (OR=1.598, 95% CI=1.042-2.45, p=0.032) were associated to critical group., Conclusions: Our results show the predictive value of lymphopenia, thrombocytopenia, high NLR and CRP levels to evaluate the prognosis of COVID-19 pneumonia. A prognostic score could be proposed for guiding clinical care and improving patient outcomes., Competing Interests: No competing interests were disclosed., (Copyright: © 2024 Belkhir D et al.)

Pulmonary resection can be associated with a significant risk of morbidity and mortality, which depends on the nature and extent of pulmonary resection but also on the patient himself. This risk can be apprehended by a preoperative assessment which estimates the immediate operative risk as well as the physiological state and the post-operative quality of life which can require more conservative therapies. Currently, preoperative exploration of a patient is based on various technological tools, which can range from simple electrocardiogram or simple spirometry to a complex exploration such as a cardiorespiratory effort test. These multiple evaluation tools require the rationalization of good practice processes according to international recommendations, taking into account the patient's specificity and the country context. This approach makes it possible to prioritize examinations according to their availability and accessibility in order to identify patients with high operative risk and to offer them an appropriate therapeutic choice.