ABSTRACT
Cerebral mucormycosis (CM) is a life-threatening manifestation of mucormycosis, an angioinvasive fungal infection caused by Mucorales. We sought to systematically review all available case reports to describe epidemiologic features, clinical manifestations, predisposing factors, and diagnostic and treatment strategies of CM. A systematic search was conducted using a combination of the following keywords: "Mucor", "Zygomycetes", "mucormycosis", "cereb*", "brain", "central nervous system", and "intracranial", separately and in combination until December 31st 2018. Data sources included PubMed, Scopus, EMBASE, Web of Science, Science Direct, and Proquest without limiting the time of publication. We included 287 articles corresponding to 345 cases of CM. Out of the 345 cases, 206 (60%) were male with a median age of 44 years; 130 (38%) were reported from North America; 87 (25%) from Asia; and 84 (24%) from Europe. The median time from onset of symptoms to presentation was 3-7 days (65/345, 65%). The highest mortality was observed among patients with diabetes mellitus (P=0.003). Debridement of infected brain tissue was associated with improved survival in CM cases (OR 1.5; 95% CI 01.3-1.8; P<0.0001). The use of liposomal amphotericin B (L-AMB) was significantly associated with patients' recovery (OR 2.09; 95% CI 1.2-3.4; P=0.003). The combination of L-AMB and posaconazole (12.5%) was more effective than the monotherapy treatment of CM cases (P=0.009). Clinicians should consider DM as an important risk factor for CM. Moreover, surgical debridement and antifungal combination therapy could be an effective approach in the management of CM patients.
ABSTRACT
BACKGROUND: Tuberculosis considered as a chronic infectious disease caused by Mycobacterium tuberculosis, may invade all organs but mainly affects the lungs. Overall, disseminated TB is rare in immunocompetent patients and its association with seborrheic keratosis has never been reported. ; Case Presentation: We reported a 54-year-old man with a complaint prolonged fever, abdominal pain, weight loss and lymphadenopathy without any immunosuppression who was eventually treated based on the diagnosis of diffuse tuberculosis.
Subject(s)
Lymphadenopathy , Mycobacterium tuberculosis , Tuberculosis , Humans , Lymphadenopathy/etiology , Male , Middle Aged , Tuberculosis/complicationsABSTRACT
BACKGROUND: We studied the clinical characteristics and outcomes of 905 hospitalized coronavirus disease 2019 (COVID-19) patients admitted to Imam Khomeini Hospital Complex (IKHC), Tehran, Iran. METHODS: COVID-19 patients were recruited based on clinical symptoms and patterns of computed tomography (CT) imaging between February 20 and March 19. All patients were tested for the presence of COVID-19 RNA. The Poisson regression model estimated the incidence rate ratio (IRR) for different parameters. RESULTS: The average age (± standard deviation) was 56.9 (±15.7) years and 61.77% were male. The most common symptoms were fever (93.59%), dry cough (79.78%), and dyspnea (75.69%). Only 43.76% of patients were positive for the RT-PCR COVID-19 test. Prevalence of lymphopenia was 42.9% and more than 90% had elevated lactate dehydrogenase (LDH) or C-reactive protein (CRP). About 11% were severe cases, and 13.7% died in the hospital. The median length of stay (LOS) was 3 days. We found higher risks of mortality in patients who were older than 70 years (IRR = 11.77, 95% CI 3.63-38.18), underwent mechanical ventilation (IRR = 7.36, 95% CI 5.06-10.7), were admitted to the intensive care unit (ICU) (IRR = 5.47, 95% CI 4.00-8.38), tested positive on the COVID-19 test (IRR = 2.80, 95% CI 1.64-3.55), and reported a history of comorbidity (IRR = 1.76, 95% CI 1.07-2.89) compared to their corresponding reference groups. Hydroxychloroquine therapy was not associated with mortality in our study. CONCLUSION: Older age, experiencing a severe form of the disease, and having a comorbidity were the most important prognostic factors for COVID-19 infection. Larger studies are needed to perform further subgroup analyses and verify high-risk groups.
