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1.
J Med Virol ; 95(4): e28728, 2023 04.
Article de Anglais | MEDLINE | ID: mdl-37185869

RÉSUMÉ

As elevated levels of the soluble CXCL16 (sCXCL16) chemokine have been reported in severe coronavirus disease 2019 (COVID-19) patients, this study examined whether sCXCL16 concentration on the first day of hospitalization predicted death in COVID-19 patients. A total of 76 patients with COVID-19 were admitted to the Military Hospital of Tunis, Tunisia, between October 2020 and April 2021, and later classified as survivors or nonsurvivors based on their outcomes. At admission, the groups were matched by age, gender, comorbidities, and the percentage of patients with moderate conditions. On the first day of admission, serum's sCXCL16 concentrations were measured using a magnetic-bead assay. There was an eightfold increase in serum sCXCL16 levels in the nonsurvivors' group (3661.51 ± 2464.87 pg/mL vs. 454.3 ± 338.07 pg/mL, p < 0.0001). For the optimal cutoff value of sCXCL16 at 2095 pg/mL, we found a 94.6% sensitivity and a 97.4% specificity, with an area under curve of 0.981 (p = 5.03E-08; 95% confidence interval [95% CI]: 0.951-1.0114). Considering the risk of death at a concentration above the threshold, the unadjusted odds ratio was 36 (p < 0.0001). The adjusted odd ratio was estimated at 1.003 (p < 0.0001; 95% CI: 1.002-1.004). Finally, there was a significant difference between survival and nonsurvival groups in leukocyte numbers (p = 0.006), lymphocytes (p = 0.001), polymorphonuclear neutrophils (p = 0.001), and C-reactive protein levels (p = 0.007), except for monocytes (p = 0.881). Based on these results, sCXCL16 level could be used for detecting nonsurvival COVID-19 patients. Therefore, we recommend assessing this marker in hospitalized COVID-19 patients.


Sujet(s)
COVID-19 , Humains , COVID-19/diagnostic , Pronostic , Chimiokine CXCL16 , Lymphocytes , Marqueurs biologiques
2.
Med Trop Sante Int ; 2(3)2022 09 30.
Article de Français | MEDLINE | ID: mdl-36284562

RÉSUMÉ

Introduction: Since December 2019, a novel coronavirus (SARS-CoV-2) has triggered a global pandemic with a heavy medical and societal-economic toll. The health consequences were not similar during the successive waves that affected several countries. The aim of our study was to compare the sociodemographic, clinical and evolutionary features of COVID-19 patients hospitalized at the Military Hospital of Tunis (HMPIT) during the 2nd and 3rd waves that affected the country. Patients and methods: Observational prospective study involving 1,527 COVID-19 patients hospitalized at HMPIT over 11 months, divided into two periods: from July 2020 to December 2020 called the second wave (V2) and from January 2021 to May 2021 called the third wave (V3). We compared the epidemiological data, the clinical form and the evolution of the patients for each period. Results: The number of hospitalized patients was 636 during V2 compared to 891 during V3. Average age was 63.5 ± 15.3 years during V2 versus 65.8 ± 17.8 years during V3 (P = not significant [NS]). The percentage of young adults [18-40 years] was 6.5% during V2 compared to 6.7% during V3 (P = NS). The gender ratio (M/F) was 1.59 for V2 and 1.42 for V3 (P = NS). Comorbidities were present in 65% of V2 patients and 66.3% of V3 patients (P = NS), with hypertension being the most prevalent one in both groups (47.2% for V2 versus 44.9% for V3; P = NS), followed by overweight, dyslipidemia and diabetes (33% for V2 versus 39.3% for V3; P = 0.012). The median duration between symptoms onset and hospitalization was 7 days [5-10] during V2 versus 8.5 days during V3 [5-12] (P = 0.0004). The severe clinical form was present in 49% of patients admitted during V2 compared to 34.8% during V3 (P < 10-3). The critical form represented 18.6% of cases during V2 against 16.8% during V3 (P = NS). The average hospital length of stay in COVID units (outside of intensive care unit) was 8.4 ± 5.4 days during V2 and 9.8 ± 5.7 days during V3. The average length of stay was significantly longer for the intensive care unit (11.3 ± 3.4 days for V2 versus 13.8 ± 3.9 days for V3; P = 0.01). The case fatality rate was 24.5% during V2 and 20.7% during V3 (P = NS). Median age of death was 70.2 years [42-88] during V2 and 70.4 years [22-96] during V3 with 2 patients less than 40 years of age (1%) for the latter period. The gender ratio (M/F) of deceased patients was 3.21 for V2 and 1.5 for V3 (P = 0.001). The case fatality rate was higher in the intensive care unit (65.4% for V2 versus 69.7% for V3; P = NS). Causes of death were dominated by ARDS (acute respiratory distress syndrome) for both periods (55.1% for V2 versus 70.8% for V3; P = 0.002), followed by septic shock (12.8% for V2 versus 10.8% for V3; P = NS) and multi-organ failure (9.6% for V2 versus 7.0% for V3; P = NS). Conclusion: This study revealed a decrease in severe and critical clinical forms during the 3rd wave, as well as a decrease in the case fatality rate compared to the previous wave, due to improved management and vaccination. On the other hand, the percentage of ARDS was significantly higher during this wave probably related to the beginning of circulation in our country of the Delta variant causing more severe clinical cases.


Sujet(s)
COVID-19 , , Jeune adulte , Humains , Adulte d'âge moyen , Sujet âgé , COVID-19/épidémiologie , SARS-CoV-2 , Tunisie/épidémiologie , Études prospectives , Hospitalisation
3.
Int J Infect Dis ; 122: 553-558, 2022 Sep.
Article de Anglais | MEDLINE | ID: mdl-35724828

RÉSUMÉ

OBJECTIVES: This study aims to assess the efficacy of a combination treatment of doxycycline and zinc in the primary prevention of COVID-19 infection in Tunisian health care workers compared with two control groups. METHODS: We conducted a prospective, randomized, double-blind clinical trial over 5 months to determine the efficacy of a preventive combination treatment dose of doxycycline (100 mg/day) and zinc (15 mg/day), compared with a single-dose treatment with doxycycline versus placebo. The effectiveness of preventive treatment was measured by the significant decline in the number of cases of COVID-19 infection and/or a decrease in the viral load as determined by SARS-CoV-2 cycle threshold value using reverse transcription polymerase chain reaction tests. RESULTS: We detected a significant decrease of SARS-CoV-2 infection in the group that received both doxycycline and zinc compared with other participants. We also demonstrated that COVID-19 infection was neither associated with diabetes (P = 0.51) nor associated with hypertension (P = 0.99), asthma (P = 0.52), and chronic obstructive pulmonary disease (P = 0.27). CONCLUSION: Our findings indicated that preventive therapy reduced the risk of SARS-CoV-2. These results suggest that the combination of doxycycline and zinc has a protective effect in patients with SARS-CoV-2 infection.


Sujet(s)
Traitements médicamenteux de la COVID-19 , COVID-19 , COVID-19/prévention et contrôle , Méthode en double aveugle , Doxycycline/usage thérapeutique , Personnel de santé , Humains , Études prospectives , SARS-CoV-2 , Résultat thérapeutique , Zinc/usage thérapeutique
4.
Pan Afr Med J ; 36: 324, 2020.
Article de Anglais | MEDLINE | ID: mdl-33193978

RÉSUMÉ

Rare cases of Cryptococcus have been documented in patients living with multiple myeloma. To date there has been no documented evidence of cryptococcosis revealing multiple myeloma. We reported a 63-year-old man who had a 2-months history continuous holocranial headaches, morning vomiting, complaining of blurred vision and fever. The biologic and the imaging showed a Cryptococcus meningoencephalitis. The search for a cause of immunodeficiency revealed a multiple myeloma. The diagnosis for Cryptococcus was confirmed according to an India ink stain, blood and cerebrospinal fluid culture. The patient's treatment for multiple myeloma was initiated with a chemotherapy regimen. The evolution was good without complication. Cryptococcosis, especially in the neuro-meningeal form, is a serious, deadly opportunistic infection. The search of an underlining immunodeficiency must be systematic. In this case, it was associated with early stage multiple myeloma.


Sujet(s)
Méningite cryptococcique/diagnostic , Myélome multiple/diagnostic , Infections opportunistes/diagnostic , Céphalée/étiologie , Humains , Mâle , Méningite cryptococcique/microbiologie , Adulte d'âge moyen , Myélome multiple/complications , Infections opportunistes/microbiologie , Vomissement/étiologie
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