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20. Clinical features of COVID-19 pneumonia in elderly patients

Author

Debiche, Soumaya, primary, Sahnoun, Imen, additional, Ben Saad, Soumaya, additional, Dabbebi, Fatma Ezzahra, additional, Ben Mansour, Ameni, additional, Zaafouri, Asma, additional, Ben Sassi, Sarra, additional, Daghfous, Hafaoua, additional, Maâlej, Sonia, additional, Tritar, Fatma, additional, Douik El Gharbi, Leila, additional, and Debiche, Soumaya, additional

Published
2021
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25. Granzyme B induced by Rv0140 antigen discriminates latently infected from active tuberculosis individuals

Author

Ouni, Rym, Gharsalli, Houda, Dirix, Violette, Braiek, Amani, Sendi, Nadia, Jarraya, Afifa, Douik El Gharbi, Leila, Barbouche, Mohamed Ridha, Benabdessalem, Chaouki, Ouni, Rym, Gharsalli, Houda, Dirix, Violette, Braiek, Amani, Sendi, Nadia, Jarraya, Afifa, Douik El Gharbi, Leila, Barbouche, Mohamed Ridha, and Benabdessalem, Chaouki

Abstract

Nearly two billion people are latently infected with Mtb (LTBI). Detection of LTBI with high risk to develop active tuberculosis (aTB) is considered the cornerstone to control the disease. The current challenge is to identify markers that better classify LTBI versus aTB. It has been previously shown that Rv0140, a reactivation-associated antigen of Mtb, induces significantly higher IFN-γ production in LTBI individuals as compared to aTB patients. Herein, we show that Rv0140 induces high granzyme B level by PBMCs derived from LTBI (n = 34) as compared to aTB (n = 18). Receiving operator characteristic (ROC) curves were used to evaluate the capacity of Rv0140 to discriminate between LTBI and aTB by measuring IFN-γ and granzyme B secretion. Our results show that, in response to Rv0140, granzyme B seems to allow better discrimination of LTBI from aTB with areas under the curve (AUC) of 0.88 (95% CI 0.79–0.98) as compared to IFN-γ with AUC of 0.85 (95% CI 0.74–0.96) even though CI overlap. Intracellular staining (ICS) experiments and the use of anti-MHC I antibody showed that granzyme B is mainly produced by CD8+ T cells in response to Rv0140. Thus, we propose granzyme B as a host marker to help identify LTBI individuals., SCOPUS: ar.j, DecretOANoAutActif, info:eu-repo/semantics/published

Published
2019

29. Impact of alexithymia on asthma managment

Author

Aouadi, Samira, primary, Bejar, Dorra, additional, Gahrsalli, Houda, additional, Bel Haj Khalifa, Islem, additional, Guermani, Manel, additional, Ellouze, Faten, additional, Maâlej, Sonia, additional, and Douik el Gharbi, Leila, additional

Published
2015
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32. Prevalence of depression and anxiety in obstructive sleep apnea.

Author

Gharsalli H, Harizi C, Zaouche R, Sahnoun I, Saffar F, Maalej S, and Douik El Gharbi L

Subjects
Humans, Female, Adult, Middle Aged, Aged, Male, Depression epidemiology, Depression etiology, Depression diagnosis, Anhedonia, Prevalence, Quality of Life psychology, Cross-Sectional Studies, Anxiety epidemiology, Anxiety etiology, Sleep Apnea, Obstructive complications, Sleep Apnea, Obstructive epidemiology, Sleep Apnea, Obstructive diagnosis, Coronary Artery Disease
Abstract

Introduction: Organic comorbidities of obstructive sleep apnea (OSA) have been widely studied. However, psychiatric disorders, especially depression and anxiety, have not attracted so much attention., Aim: The primary aim was to determine the prevalence and the predictive factors of depression and anxiety in OSA patients. The secondary aim was to investigate the association between OSA severity and these psychiatric disorders., Methods: A cross-sectional study including untreated OSA patients without mental illness history was conducted. Patients were administered the Hospital Anxiety (HADS-A) and Depression Scale (HADS-D). Depression and anxiety were diagnosed for HAD-D and HAD-A scores ≥ 8., Results: Eighty patients were included (mean age: 54.83 ± 13.12 yr; female: 52 (65%); mean Body mass index (BMI) :34.7±6.14 kg/m2). The prevalence of depression and anxiety was 35 % and 43.8% of patients respectively. Both depressive and anxious OSA patients had more libido disorder ( p=0.011, p=0.0007 ;respectively), anhedonia (p= 10-4, p= 10-4respectively ) and suicidal ideas(p= 0.002 ,p=0.019 respectively). Moreover, depressed OSA patients had lower socio-economic condition (p= 0.019), more coronary artery diseases (CAD) (p=0.019) and less cognitive disorder (p= 0.005). The HADS-D (r=0,095; p=0,404) and the HADS-A (r=0,212; p=0,059) were not correlated with the Apnea/Hyponea Index. The determinants of depressive and anxious mood were female-sex (p= 0.035, p=0.004 respectively) and libido disorder (p=0.040, p=0.02 respectively). Anhedonia (p=10-4) and CAD (p=0.010) were also identified as a predictive factors of depression., Conclusions: In our study, the high prevalence of depression and axiety in apneic patients demonstrates the importance of the psychiatric component in the management of this disease. A collaboration between pneumologists and psychiatrists is necessary in order to improve the quality of life of these patients.

Published
2022

33. Effect of Continuous Positive Airway Pressure on glycated hemoglobin in patients with type 2 diabetes and Obstructive Sleep Apnea.

Author

Gharsalli H, Oueslati I, Sahnoun I, Neffati O, Ghrairi N, Maalej S, and Douik El Gharbi L

Subjects
Aged, Blood Glucose metabolism, Body Mass Index, Diabetes Mellitus, Type 2 complications, Female, Glycated Hemoglobin analysis, Humans, Male, Middle Aged, Patient Compliance, Polysomnography, Sleep Apnea, Obstructive blood, Sleep Apnea, Obstructive complications, Treatment Outcome, Continuous Positive Airway Pressure, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 therapy, Glycated Hemoglobin metabolism, Sleep Apnea, Obstructive therapy
Abstract

Introduction: Obstructive sleep apnea (OSA) is a risk factor for type 2 diabetes that adversely impacts glycemic control. However, there is little evidence about the effect of continuous positive airway pressure (CPAP) on glycemic control in patients with diabetes., Aim: Assess the effect of CPAP on glycated hemoglobin (HbA1c) levels in patients with type 2 diabetes and OSA., Methods: it was a prospective study including type 2 diabetic patients with OSA and a CPAP therapy indication. All participants had HbA1c measurement at baseline (T0) and 2 months after the onset of CPAP (T1) with a compliance ≥ 4 hours / night. Patients who changed anti-diabetic treatment during follow-up were excluded. The HbA1c level goal was ≤ 7%., Results: Thirty patients were included (4 men and 26 women) with a mean age of 61.3 ± 8.8 years. The mean diabetes duration was 5.8 ± 3.7 years. Twenty-four patients had poorly controlled diabetes. Associated comorbidities were dominated by hypertension (n=22) and obesity (n=22). The mean apnea hypopnea index was 38.0 ± 12.7/ hour. Two months after the CPAP use, a significant decrease of 1.1 ± 0.8 % in the mean HbA1c level was observed (HbA1c: T0= 8.9 ± 1.5 % vs T1=7.8 ± 1.1 %; p<0.001). This rate was significantly correlated with the body weight (r = 0.51, p = 0.003), the body mass index (r = 0.42, p = 0.02) and the HbA1c level at baseline (r = 0, 76, p <0.001). The only factor associated with glycemic control improvement was an initial HbA1c level > 9% (Odds Ratio = 8.3, p = 0.04)., Conclusion: CPAP therapy improved diabetes control in type 2 diabetic patients with OSA, in particular in those with an initial HbA1c> 9%.

Published
2019

34. [Fatal cardiomyopathy in eosinophilic granulomatosis with polyangiitis].

Author

Aouadi S, Bejar D, Attia M, Ghrairi N, Maâlej S, and Douik El Gharbi L

Subjects
Churg-Strauss Syndrome drug therapy, Echocardiography, Fatal Outcome, Female, Heart Diseases diagnostic imaging, Heart Failure diagnostic imaging, Humans, Middle Aged, Thrombosis diagnostic imaging, Churg-Strauss Syndrome etiology, Heart Failure complications
Published
2019
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35. Granzyme B induced by Rv0140 antigen discriminates latently infected from active tuberculosis individuals.

Author

Ouni R, Gharsalli H, Dirix V, Braiek A, Sendi N, Jarraya A, Douik El Gharbi L, Barbouche MR, and Benabdessalem C

Subjects
Adolescent, Adult, Antigens, Bacterial isolation & purification, Bacterial Proteins metabolism, CD8-Positive T-Lymphocytes immunology, Female, Humans, Interferon-gamma metabolism, Male, Middle Aged, Tumor Necrosis Factor-alpha metabolism, Young Adult, Antigens, Bacterial metabolism, Granzymes metabolism, Latent Tuberculosis immunology
Abstract

Nearly two billion people are latently infected with Mtb (LTBI). Detection of LTBI with high risk to develop active tuberculosis (aTB) is considered the cornerstone to control the disease. The current challenge is to identify markers that better classify LTBI versus aTB. It has been previously shown that Rv0140, a reactivation-associated antigen of Mtb, induces significantly higher IFN-γ production in LTBI individuals as compared to aTB patients. Herein, we show that Rv0140 induces high granzyme B level by PBMCs derived from LTBI (n = 34) as compared to aTB (n = 18). Receiving operator characteristic (ROC) curves were used to evaluate the capacity of Rv0140 to discriminate between LTBI and aTB by measuring IFN-γ and granzyme B secretion. Our results show that, in response to Rv0140, granzyme B seems to allow better discrimination of LTBI from aTB with areas under the curve (AUC) of 0.88 (95% CI 0.79-0.98) as compared to IFN-γ with AUC of 0.85 (95% CI 0.74-0.96) even though CI overlap. Intracellular staining (ICS) experiments and the use of anti-MHC I antibody showed that granzyme B is mainly produced by CD8+ T cells in response to Rv0140. Thus, we propose granzyme B as a host marker to help identify LTBI individuals., (©2018 Society for Leukocyte Biology.)

Published
2019
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36. Abstracts of the 40th National Congress of Medicine Tunis, 19-20 October 2017.

Author

Abdallah M, Abdelaziz A, Abdelaziz O, Abdelhedi N, Abdelkbir A, Abdelkefi M, Abdelmoula L, Abdennacir S, Abdennadher M, Abidi H, Abir Hakiri A, Abou El Makarim S, Abouda M, Achour W, Aichaouia C, Aissa A, Aissa Y, Aissi W, Ajroudi M, Allouche E, Aloui H, Aloui D, Amdouni F, Ammar Y, Ammara Y, Ammari S, Ammous A, Amous A, Amri A, Amri M, Amri R, Annabi H, Antit S, Aouadi S, Arfaoui A, Assadi A, Attia L, Attia M, Attia L, Ayadi I, Ayadi Dahmane I, Ayari A, Azzabi S, Azzouz H, B Mefteh N, B Salah C, Baccar H, Bachali A, Bahlouli M, Bahri G, Baïli H, Bani M, Bani W, Bani MA, Bassalah E, Bawandi R, Bayar M, Bchir N, Bechraoui R, Béji M, Beji R, Bel Haj Yahia D, Belakhel S, Belfkih H, Belgacem O, Belgacem N, Belhadj A, Beltaief N, Beltaief N, Ben Abbes M, Ben Abdelaziz A, Ben Ahmed I, Ben Aissia N, Ben Ali M, Ben Ammar H, Ben Ammou B, Ben Amor A, Ben Amor M, Benatta M, Ben Ayed N, Ben Ayoub W, Ben Charrada N, Ben Cheikh M, Ben Dahmen F, Ben Dhia M, Ben Fadhel S, Ben Farhat L, Ben Fredj Ismail F, Ben Hamida E, Ben Hamida Nouaili E, Ben Hammamia M, Ben Hamouda A, Ben Hassine L, Ben Hassouna A, Ben Hasssen A, Ben Hlima M, Ben Kaab B, Ben Mami N, Ben Mbarka F, Ben Mefteh N, Ben Kahla N, Ben Mrad M, Ben Mustapha N, Ben Nacer M, Ben Neticha K, Ben Othmen E, Ben Rhouma S, Ben Rhouma M, Ben Saadi S, Ben Safta A, Ben Safta Z, Ben Salah C, Ben Salah N, Ben Sassi S, Ben Sassi J, Ben Tekaya S, Ben Temime R, Ben Tkhayat A, Ben Tmim R, Ben Yahmed Y, Ben Youssef S, Ben Ali M, Ben Atta M, Ben Safta Z, Ben Salah M, Berrahal I, Besbes G, Bezdah L, Bezzine A, Bezzine A, Bokal Z, Borsali R, Bouasker I, Boubaker J, Bouchekoua M, Bouden F, Boudiche S, Boukhris I, Bouomrani S, Bouraoui S, Bouraoui S, Bourgou S, Boussabeh E, Bouzaidi K, Chaker K, Chaker L, Chaker A, Chaker F, Chaouech N, Charfi M, Charfi MR, Charfi F, Chatti L, Chebbi F, Chebbi W, Cheikh R, Cheikhrouhou S, Chekir J, Chelbi E, Chelly I, Chelly B, Chemakh M, Chenik S, Cheour M, Cheour M, Cherif E, Cherif Y, Cherif W, Cherni R, Chetoui A, Chihaoui M, Chiraz Aichaouia C, Dabousii S, Daghfous A, Daib A, Daib N, Damak R, Daoud N, Daoud Z, Daoued N, Debbabi H, Demni W, Denguir R, Derbel S, Derbel B, Dghaies S, Dhaouadi S, Dhilel I, Dimassi K, Dougaz A, Dougaz W, Douik H, Douik El Gharbi L, Dziri C, El Aoud S, El Hechmi Z, El Heni A, ELaoud S, Elfeleh E, Ellini S, Ellouz F, Elmoez Ben O, Ennaifer R, Ennaifer S, Essid M, Fadhloun N, Farhat M, Fekih M, Fourati M, Fteriche F, G Hali O, Galai S, Gara S, Garali G, Garbouge W, Garbouj W, Ghali O, Ghali F, Gharbi E, Gharbi R, Ghariani W, Gharsalli H, Ghaya Jmii G, Ghédira F, Ghédira A, Ghédira H, Ghériani A, Gouta EL, Guemira F, Guermazi E, Guesmi A, Hachem J, Haddad A, Hakim K, Hakiri A, Hamdi S, Hamed W, Hamrouni S, Hamza M, Haouet S, Hariz A, Hendaoui L, Hfaidh M, Hriz H, Hsairi M, Ichaoui H, Issaoui D, Jaafoura H, Jazi R, Jazia R, Jelassi H, Jerraya H, Jlassi H, Jmii G, Jouini M, Kâaniche M, Kacem M, Kadhraoui M, Kalai M, Kallel K, Kammoun O, Karoui M, Karouia S, Karrou M, Kchaou A, Kchaw R, Kchir N, Kchir H, Kechaou I, Kerrou M, Khaled S, Khalfallah N, Khalfallah M, Khalfallah R, Khamassi K, Kharrat M, Khelifa E, Khelil M, Khelil A, Khessairi N, Khezami MA, Khouni H, Kooli C, Korbsi B, Koubaa MA, Ksantini R, Ksentini A, Ksibi I, Ksibi J, Kwas H, Laabidi A, Labidi A, Ladhari N, Lafrem R, Lahiani R, Lajmi M, Lakhal J, Laribi M, Lassoued N, Lassoued K, Letaif F, Limaïem F, Maalej S, Maamouri N, Maaoui R, Maâtallah H, Maazaoui S, Maghrebi H, Mahfoudhi S, Mahjoubi Y, Mahjoubi S, Mahmoud I, Makhlouf T, Makni A, Mamou S, Mannoubi S, Maoui A, Marghli A, Marrakchi Z, Marrakchi J, Marzougui S, Marzouk I, Mathlouthi N, Mbarek K, Mbarek M, Meddeb S, Mediouni A, Mechergui N, Mejri I, Menjour MB, Messaoudi Y, Mestiri T, Methnani A, Mezghani I, Meziou O, Mezlini A, Mhamdi S, Mighri M, Miled S, Miri I, Mlayeh D, Moatemri Z, Mokaddem W, Mokni M, Mouhli N, Mourali MS, Mrabet A, Mrad F, Mrouki M, Msaad H, Msakni A, Msolli S, Mtimet S, Mzabi S, Mzoughi Z, Naffeti E, Najjar S, Nakhli A, Nechi S, Neffati E, Neji H, Nouira Y, Nouira R, Omar S, Ouali S, Ouannes Y, Ouarda F, Ouechtati W, Ouertani J, Ouertani J, Ouertani H, Oueslati A, Oueslati J, Oueslati I, Oueslati A, Rabai B, Rahali H, Rbia E, Rebai W, Regaïeg N, Rejeb O, Rhaiem W, Rhimi H, Riahi I, Ridha R, Robbena L, Rouached L, Rouis S, Safer M, Saffar K, Sahli H, Sahraoui G, Saidane O, Sakka D, Salah H, Sallami S, Salouage I, Samet A, Sammoud K, Sassi Mahfoudh A, Sayadi C, Sayhi A, Sebri T, Sedki Y, Sellami A, Serghini M, Sghaier I, Skouri W, Skouri W, Slama I, Slimane H, Slimani O, Souhail O, Souhir S, Souissi A, Souissi R, Taboubi A, Talbi G, Tbini M, Tborbi A, Tekaya R, Temessek H, Thameur M, Touati A, Touinsi H, Tounsi A, Tounsia H, Trabelsi S, Trabelsi S, Triki A, Triki M, Turki J, Turki K, Twinsi H, Walha Y, Wali J, Yacoub H, Yangui F, Yazidi M, Youssef I, Zaier A, Zainine R, Zakhama L, Zalila H, Zargouni H, Zehani A, Zeineb Z, Zemni I, Zghal M, Ziadi J, Zid Z, Znagui I, Zoghlami C, Zouaoui C, Zouari B, Zouiten L, and Zribi H

Published
2017

37. Spontaneous Right Hemothorax in the Elderly.

Author

Aouadi S, Sebai A, Gharsalli H, Zribi H, Neji H, Maâlej S, and Douik El Gharbi L

Abstract

Rupture of thoracic aortic aneurysm is a life threatening condition. Rupture in the right pleural cavity is extremely rare. We report the case of an 80-year-old man with a spontaneous right hemothorax. Diagnosis was made by computed tomography (CT) scan. He was managed with chest tube and stabilization. The patient died before any surgical intervention. We report this case to emphasize that rupture of aortic aneurysm should be considered in the evaluation of spontaneous hemothorax even if it is right-sided particularly in the elderly. Emergent therapy is necessary to prevent mortality.

Published
2016

38. [Obesity hypoventilation syndrome and obstructive sleep apnea syndrome: is there an association?].

Author

Douik El Gharbi L, Ismail I, Dhahri B, Ben Ammar J, Baccar MA, Azzabi S, Aouina H, Zouari B, and Bouacha H

Subjects
Body Mass Index, Female, Humans, Male, Middle Aged, Oxygen blood, Pulmonary Gas Exchange, Retrospective Studies, Obesity Hypoventilation Syndrome complications, Sleep Apnea, Obstructive complications
Abstract

Background: Severe obesity sometimes leads to a chronic alveolar hypoventilation: obesity hypoventilation syndrome (OHS), (Pao2<70mmHG, Paco2>45mmHG and body mass index (BMI)>30Kg/m2). The association with an OSAS is frequent., Aim: To assess predicting factors that lead to hypoventilation in a population of obese patients with SAS and to deduct the type of association between OHS and SAS., Methods: We have study during 4 years, at pneumology service of Charles Nicolle hospital, 62 obese patients (BMI>30Kg /m2), 41men and 21 women and presenting an OSAS. We excluded those carriers of a bronchial obstruction (VEMS/CV <60%) and we have compared anthropométriques, functional, gazométriques and polysomographiques details of the groupe1 (G1): OHS=9 and of the groupe2 (G2): obesity without hypoventilation (n=53)., Results: We didn't identified any significant difference between the two groups concerning (age, sex, the frequency of smokers, the frequency of the nasopharynx region abnormalities, apnea-hypopnea index (AHI), the SAS severity and the respiratory functional exploration). The obesity is significant more important in the G1, it is sever (BMI>40) in 77.8% of patients of the G1 with significant difference with the G2 (P=0.004). We noted that there is a positive interrelationship between BMI and Paco2. We identified severe gazométrique perturbation in G1 (Pao2 medium = 61± 9 mmHg,Paco2 medium=50 ± 7 mmHg), in the G2 we noted a moderate hypoxemia. Patients of the group1 make of the minimal desaturation of 63 ± 17% and a Sao2 average of 81 ± 20% what is meaningfully more important than in the G2., Conclusion: The alveolar hypoventilation in SAS seems to be in correlation with the degree of obesity. The hypercapnie in the OHS is in relation neither with the SAOS nor with its severity. The OHSSAS association is usual but not synonym; the OHS is an autonomous disease.

Published
2011

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