Wiener klinische Wochenschrift
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Wien. Klin. Wochenschr. · Jul 2021
The role of quantitative HBsAg in patients with HBV DNA between 2000-20,000 IU/ml.
We aimed to determine the contribution of quantitative HBsAg in differentiating chronic infections from chronic hepatitis in HBeAg negative patients with HBV DNA 2000-20,000 IU/ml. ⋯ Our study suggests that the quantitative HBsAg ≤ 1000 IU/ml limit value might be used for the diagnosis of chronic infection not only in HBV DNA ≤ 2000 IU/ml but also in patients with HBV DNA between 2000-20,000 IU/ml. In addition, antiviral treatment could be considered in patients with quantitative HBsAg > 20,000 IU/ml and HBV DNA > 2000 IU/ml without further examinations such as liver biopsy.
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Wien. Klin. Wochenschr. · Jul 2021
Observational StudyRole of multi-detector computed tomography in severity assessment of cases of acute pancreatitis.
The mortality and morbidity of acute pancreatitis is high, especially in the severe variant. The present study was performed to study the role of multi-detector computed tomography (MDCT) in grading the severity of acute pancreatitis and to compare the scoring system with the revised Atlanta classification (RAC) and with the outcomes of acute pancreatitis. ⋯ The MDCT is a very useful investigation in the diagnosis and management of acute pancreatitis. The threshold to opt for MDCT imaging in acute pancreatitis should be low for performing the timely interventions required in acute pancreatitis.
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Wien. Klin. Wochenschr. · Jul 2021
Neurodevelopmental outcome of very preterm infants with gastrointestinal tract perforations does not differ compared to controls.
To evaluate gastrointestinal tract (GIT) perforations in very low birth weight infants and the effects on neurodevelopmental outcome. ⋯ Despite increased morbidities preterm infants with GIT perforation did not have a higher mortality rate and groups did not differ regarding neurodevelopmental outcome at the corrected for prematurity age of 2 years.
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Wien. Klin. Wochenschr. · Jul 2021
A data-driven framework for introducing predictive analytics into expanded program on immunization in Pakistan.
Pakistan has a nationwide expanded program on immunization (EPI), yet vaccination coverage in Pakistan is quite low. Recently, an analytical model has been proposed to improve the coverage by identifying children who are most likely to miss any of the vaccines included in the immunization schedule, known as defaulters; however, a number of limitations remain unresolved in the previously proposed model. Firstly, it only classified children into two stages: defaulters and non-defaulters, considering all children at high risk of defaulting even if only one dose is missed. Secondly, there was no categorisation of high and low coverage areas for prioritised vaccination. The aim of this study was to propose a prediction framework for the accurate identification of defaulters. ⋯ The proposed framework in this study is a step forward towards a data-driven approach and provides a set of machine learning techniques to utilise predictive analytics. Hence, this can reinforce immunization programs by expediting targeted action to reduce drop-outs.