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During the COVID-19(coronavirus-19 disease) pandemic, health care workers (HCWs) faced the risk of infection and distressing work to meet health requirements. The aim of the present stud ywas to evaluate perceptions of HCWs of their security at work in COVID-19 units and their coping strategies, at the military hospital of Tunis, during the second wave of COVID-19.A cross-sectional study was conducted via an auto-questionnaire on February 2021.HCWs of the military hospital of Tunis were included. Participants were asked about their perceived security at work in COVID-19 units and their coping behaviors. Mental disorders were assessed, via qualitative questionnaires.A total of 110 HCWs' responses were collected. Fifty-eight participants (52.7%) were females. The mean age was 33.7 years (SD 9.3). They were doctors at 45.5% and nurses at 39.1%. HCWs declared having worked in COVID-19 units in 81.8% of cases. The participants reported their fears about being infected in 58.2% and infecting family members in 85.5% of cases. Protective factors included information about the disease (80%), availability of personal protective equipment (PPE) (80.9%), support from colleagues(72.7%)or superiors at work (50.9%), and ability to communicate with others (63.6%). Depression, anxiety, and insomnia were found in respectively 25.5%, 30%, and 41.8% of HCWs. In multivariate analysis, suffering from a traumatic distress was significantly associated with anxiety and depression (p (p0.01 and, p0.05 respectively). In addition, insomnia severity was linked to age (p=0.05) and having colleagues infected with COVID-19 (p0.05).In the present study, HCWs of the military hospital of Tunis stated having high levels of insomnia, anxiety, and depression since the early outbreak of the COVID-19 pandemic. These mental disorders may have a negative impact on the quality of life of HCWs and should be enhanced by psychological support and preventive measures.

Background: Despite an efficient cure, tuberculosis (TB) is a global cause of mortality and morbidity. Patients with treated TB may suffer from sequelae, impairing their quality of life. Aim: Assess the predictive factors linked with the occurrence of sequelae among TB treated patients. Methods: A retrospective (2010-2017) study that included patients with pulmonary tuberculosis (TB) in Pulmonology department C of Abderrahmen Mami Hospital in Tunisia. Sequelae were defined by the persistance of radiographic abnormalities in the chest X-ray after a well conducted treatment. Patients were divided in 2 groups. G1 : patients with sequelae (n=271). G2 : patients without sequelae (n=189). Results: 460 patients were included (mean age : 40.07; 61.3% were men). All patients received anti TB treatment. 59% were diagnosed with TB sequelae. Men developed sequelae more than women (68,5% VS 46%) p Conclusions: Post TB sequelae are worryingly high in our study. It is important to identify all parameters associated with the occurrence of these complications to facilitate diagnosis and treatment.

Background: Nutritional changes during and after tuberculosis (TB) treatment have not been well described. Aim: Determine the mean change in body mass index (BMI), fat mass (FM) and fat free mass (FFM) as measured by bioelectrical impedance analysis (BIA) at baseline and after 2months of TB treatment. Methods: A prospective study was performed in a teaching hospital of Tunis. Patients followed up for pulmonary TB were included. At radiographs, lung disease extent was graded according to an international classification of TB. BMI and height-normalized indices of FFM and FM as measured by BIA (SC-240MA classIII, Tanita coporation, Tokyo, Japan) were assessed at baseline and after 2 months of standard TB treatment. Patients were studied in the morning after an overnight fast. Patients lost to follow up were excluded. Results: Of the 58 participants who were available, 9 were excluded due to lack of anthropometric follow-up data. Data about 49 participants were analyzed (16women and 33men). The mean age was 41.9±14.5years. At baseline, 15patients had an advanced lung disease. The mean BMI was 19.5±9.1 Kg/m2. Initial values of FFM and FM were respectively 47.4±9.2Kg and 9.9±8.5Kg. At 2 months of TB treatment, there was a significant improve in BMI, FFM and FM. The improvement was higher in FFM (p 0.05). Improvement in all parameters was significantly lower in patients with initially advanced lung disease (p=0.03). Conclusion: During the intensive phase of TB treatment patients with active pulmonary TB have significantly improved weight, FFM and FM. The improvement seems to be lower in men with advanced lung disease.

Background and aims:Cluster B personality disorders are common and often correlated with higher rates of axis I comorbidity, increased severity and impaired outcome.This study aimed to compare sociodemographic and clinical features of patients with cluster B personality disorders to those with cluster A and C.Methods:All five years (January 2000 to December 2004) first time attendances to an outpatient psychiatric unit were retrospectively examined. 127 cases with diagnosis of personality disorders (DSM-IV criteria)were selected: Cluster B (n=81), cluster C (n=32) and cluster A (n=14). Comparaisons were performed for sociodemographic features, medical history and axis I comorbidity.Results:Patients with cluster B personality disorders were younger(p=0,001), had higher education level (p=0,01) and more regular jobs (p=0,01).There was less family history of depressive (p=0,011) and anxiety disorders (p=0,021) and more personal history of alcohol abuse (p=0,001). No differences in axis I comorbidity rates were found. However, patients with cluster B personality types had more depressive disorders, addictive disorders and somatoform disorders than those with cluster C (p=0,017) and cluster A (p=0,001). Also, cluster B personality disorders were correlated to earlier onset of addictive disorders (p=0,037) and more frequent follow-up withdrawal (p=0,009).Conclusion:Clusters B personality disorders were not correlated to higer axis I comorbity rate but to specific comorbid disorders and to follow-up withdrawal.