Introduction and Importance: Currently, coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are among the most important causes of respiratory infections around the world. Both of them are sources of concern for human health and life safety. COVID-19 caused the deaths of millions of people, and many of them suffered from what has become known as ‘post-COVID squeal’. Immunosuppression is one of the most important of these symptoms that leave patients susceptible to severe infections like TB. Case Presentation: In these two cases, the authors observed the development of active TB after a period of COVID recovery. Two patients who were admitted to the hospital complained mainly, among other symptoms, of fever and a continuous cough after a period of COVID-19 recovery. Clinical Discussion: Radiological examination revealed a caving density in the two cases, and the Gene-Xpert test proved the presence of Mycobacterium tuberculosis bacteria despite the negative result of the Ziehl–Neelsen stain. The two patients were improved after standard TB treatment. Conclusion: Patients with post‐COVID‐19 chronic respiratory symptoms should be screened for TB, especially in TB-endemic areas, even though the result of the Ziehl–Neelsen stain was negative.

Background After the COVID-19 pandemic, anxiety and depression have reached high levels, especially after the last wave, Omicron. Healthcare workers in contact with COVID-19 patients or those who come in contact with them may exhibit high levels of anxiety and depression. Therefore, we aimed to assess anxiety and depression symptoms among ICU companions of COVID-19 patients. Methods From 30 November 2021 to 1 March 2022, sixth-year medical students at Aleppo University Hospital conducted interviews with the companions of COVID-19 patients who they brought their patient to the ICU centre as part of a cross-sectional quantitative study using the PHQ-9 and GAD-7 tools to gauge their level of anxiety and depression among companions of COVID-19 patients. The data were analyzed using the SPSS program. In addition, logistic regression models were used to study possible factors of anxiety and depression symptoms during COVID-19. Results The total number was 997 participants in contact with COVID-19 patients. The mean score of the depression assessment tool (PHQ-9) in our questionnaire was 9.5 with a range of 0 to 27. At the same time, the anxiety assessment tool (GAD-7) had a mean score of 9.1, ranging from 0 to 21. A binary logistic regression was used to predict the relationship between depression and anxiety and various factors. We found that the companions with medical specialties were substantially less likely to develop anxiety than other companions [AOR = 0.459; 95%CI (0.23–0.9)], in addition females were substantially higher likely to develop depression than males [AOR = 1.322; 95%CI (0.992–1.762)]. 45.4% of companions had moderate to severe anxiety, in additon 50.8% of companions had moderate to severe depression. Conclusion Our research reveals that moderate to severe anxiety and sadness are present in roughly half of the COVID19 patients’ companions. Females, people with children, and hard workers were more inclined to feel anxious than others, and those who are not in the medical field were more likely to suffer from depression than others, thus it is critical to assist these groups during the present outbreaks (Omicron and Monkeybox).

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Background: Globally, lower respiratory tract infections (LRTIs) are one of the lead causes of death. Bacterial and susceptibility profiles are not constant over time and geographically, and different patient factors can be correlated with those infections. Objective: This study aimed to scan the bacterial spectrum causing LRTIs, their susceptibility profile and patient related risk factors. Material and methods: Two hundred sixty-eight specimens from LRTIs suspected patients attending University Hospital were collected. Specimens included bronchial washings, transtracheal aspiration samples and sputum. After appropriate culture and identification tests, susceptibility test was done using minimum inhibitory concentration method. Data were collected from patients for further analysis. Results: of total specimens, 150 showed positive culture results (Acinetobacter baumannii, Pseudomonas aeruginosa, Citrobacter koseri, Escherichia coli, Klebsiella pneumonia, Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus haemolyticus, Streptococcus pneumonia and Candida spp.). The antibiogram showed high resistance among all bacterial isolates against most antibiotics. Good susceptibility rates were shown to colistin in Gram-negative group and piperacillin\tazobactam in Gram-positive group. Trimethoprim\sulfamethoxazole showed good susceptibility results in both groups. Many factors showed correlation with LRTIs such as age (P=0.004), smoking (P=0.049), residency (P=0.043), hypertension (P=0.012), lung chronic disease (P=0.007) and cancer (P=0.048). Conclusion: The leading cause of LRTIs in our study were A. baumannii and P. aeruginosa which both are very troublesome pathogens and multidrug resistant frequency was alarming. Random empirical antibiotic using can highly lead to increased resistance. Further care must be taken after patients with risk factors, and adjustments should be done to those modifiable factors.