Short Communication: Prolonged COVID-19 Infection in a Patient with Newly Diagnosed HIV/AIDS.

A 38-year-old male patient presented to the emergency department with fever and dyspnea. Hospitalization was warranted and soon coronavirus disease 2019 (COVID-19) was diagnosed based on a positive SARS-CoV-2-PCR. Over the following weeks his condition gradually worsened, leading to admission at the intensive care unit. Because of unexplained weight loss before admission, a HIV screening was performed. HIV was confirmed and additional tests showed an undetectable CD4+ T cell count, alongside a number of co-infections. Convalescent plasma therapy, which has been shown to be effective in severe humoral immunodeficiency was tried, but was not effective. One week after the HIV diagnosis, antiretroviral therapy was started and finally, 3 months after the initial positive test and after partial recovery of cellular immunity, the COVID-19 virus was cleared. In the end, the patient made a full recovery. Our case demonstrates a prolonged COVID-19 infection in a patient with undiagnosed HIV with severely impaired cellular immunity.

Conversion of Verbal Response Scales: Robustness Across Demographic Categories.

Happiness and life satisfaction have traditionally been measured using verbal response scales, however, these verbal scales have not kept up with the present trend to use numerical response scales. A switch from a verbal scale to a numerical scale, however, causes a severe problem for trend analyses, due to the incomparability of the old and new measurements. The Reference Distribution Method is a method that has been developed recently to deal with this comparison problem. In this method use is made of a reference distribution based on responses to a numerical scale which is used to decide at which point verbally labelled response options transit from one state to another, for example from 'happy' to 'very happy'. Next, for each wave of the time series in which the verbal scale is used, a population mean is estimated for the beta distribution that fits best to these transition points and the responses in this wave. These estimates are on a level that is comparable to that of the mean of the reference distribution and are appropriate for use in an extended time series based on the responses measured using a verbal and a numerical scale. In this paper we address the question of whether the transition points derived for the general population can be used for demographic categories to produce reliable, extended time series to monitor differences in trends among these categories. We conclude that this is possible and that it is not necessary to derive transition points for each demographic category separately.