Early cryptococcosis infection in a liver transplant patient: A case report.

Key Clinical Message: In order to early diagnose and prevent the infection dissemination in both suspected solid organ donors and recipients after transplantation, pretransplantation screening tests for rare etiologies like Cryptococcus neoformans should be necessitated, as they can affect many vital organs, especially the brain, liver, and lungs. Abstract: Cryptococcosis is a systemic fungal infection mainly affecting immunocompromised patients. The infection is occasionally seen in 16-21 months after organ transplantation, while early involvement is uncommon within <30 days posttransplantation. In the present study, we reported an unusual case of cryptococcosis infection 21 days after transplantation, limited to the transplanted liver in a 60-year-old male. Treatment with an antifungal agent showed prompt improvement in his clinical condition.

A novel scoring system for early assessment of the risk of the COVID-19-associated mortality in hospitalized patients: COVID-19 BURDEN.

BACKGROUND: Corona Virus Disease 2019 (COVID-19) presentations range from those similar to the common flu to severe pneumonia resulting in hospitalization with significant morbidity and/or mortality. In this study, we made an attempt to develop a predictive scoring model to improve the early detection of high risk COVID-19 patients by analyzing the clinical features and laboratory data available on admission. METHODS: We retrospectively included 480 consecutive adult patients, aged 21-95, who were admitted to Faghihi Teaching Hospital. Clinical and laboratory features were collected from the medical records and analyzed using multiple logistic regression analysis. The final data analysis was utilized to develop a simple scoring model for the early prediction of mortality in COVID-19 patients. The score given to each associated factor was based on the coefficients of the regression analyses. RESULTS: A novel mortality risk score (COVID-19 BURDEN) was derived, incorporating risk factors identified in this cohort. CRP (> 73.1 mg/L), O2 saturation variation (greater than 90%, 84-90%, and less than 84%), increased PT (> 16.2 s), diastolic blood pressure (≤ 75 mmHg), BUN (> 23 mg/dL), and raised LDH (> 731 U/L) were the features constituting the scoring system. The patients are triaged to the groups of low- (score < 4) and high-risk (score ≥ 4) groups. The area under the curve, sensitivity, and specificity for predicting mortality in patients with a score of ≥ 4 were 0.831, 78.12%, and 70.95%, respectively. CONCLUSIONS: Using this scoring system in COVID-19 patients, the patients with a higher risk of mortality can be identified which will help to reduce hospital care costs and improve its quality and outcome.

Case of possible encephalopathy following receiving the first dose of Iranian COVID-19Vaccine; COVIran Barakat.

We report a case of possible encephalopathy after receiving the first dose of Iran's COVIran Barekat vaccine. The patient had no history of neurological or mental illness. Clinical examinations and radiology reports were performed and differential diagnoses were analyzed by the treatment team. Finally, the possible association between vaccination and encephalopathy was concluded.

Environmental, climatic and host population risk factors of human cystic echinococcosis in southwest of Iran.

BACKGROUND: Cystic echinococcosis (CE), a worldwide zoonotic disease, is affected by various biological and environmental factors. We investigated dog/livestock populations, climatic and environmental factors influencing the distribution of human CE cases in Fars province, southwest Iran. METHODS: We mapped the addresses of 266 hospitalised CE patients (2004-2014) and studied the effects of different temperature models, mean annual rainfall and humidity, number of frosty days, slope, latitude, land covers, close proximity to nomads travel routes, livestock and dog densities on the occurrence of CE using geographical information systems approach. Data were analyzed by logistic regression. RESULTS: In the multivariate model predicting CE, living in an urban setting and densities of cattle and dogs were the most important CE predictors, sequentially. Dry (rained) farm, density of camel and sheep, close proximity to nomads travel routes, humidity, and slope also were considered as the determinants of CE distribution, when analyzed independently. Slope had a negative correlation with CE while temperature, frost days and latitude were not associated with CE. CONCLUSIONS: In our study, an urban setting was the most important risk factor and likely due to a combination of the high density of key life cycle hosts, dogs and livestock, a large human susceptible population and the high number of abattoirs. Farmland and humidity were highly suggestive risk factors and these conditions support the increased survival of Echinococcus granulosus eggs in the soil. These findings support the development of strategies for control of disease. More research is needed test optimal interventions.