Background Sequelae of COVID-19 can be severe and longlasting. We compared frequencies of fatigue, depression and cognitive dysfunction in survivors of SARS-CoV-2-infection and sepsis. Methods We performed a prospective cohort study of 355 symptomatic post-COVID patients who visited our out-patient clinic for post-COVID-19 care. We compared them with 272 symptomatic patients from the Mid-German Sepsis Cohort, which investigates the long-term courses of sepsis survivors. Possible predictors for frequent clinical findings (fatigue, signs of depression, cognitive dysfunction) in post-COVID were investigated with multivariable logistic regression. Results Median age of the post-COVID patients was 51 years (range 17–86), 60.0% were female, and 31.8% required hospitalization during acute COVID-19. In the post-COVID patients (median follow-up time: 163 days) and the post-sepsis patients (180 days), fatigue was found in 93.2% and 67.8%, signs of depression were found in 81.3% and 10.9%, and cognitive dysfunction was found in 23.5% and 21.3%, respectively. In post-COVID, we did not observe an association between fatigue or depression and the severity of acute COVID-19. In contrast, cognitive dysfunction was associated with hospitalization (out-patient versus in-patient) and more frequent in post-COVID patients treated on an ICU compared to the MSC patients. Conclusion In post-COVID patients, fatigue and signs of depression are more common than in sepsis survivors, independent from the acute SARS-CoV-2-infection. In contrast, cognitive dysfunction is associated with hospitalization. Despite the differences in frequencies, owing to the similarity of post-COVID and post-sepsis sequelae, this knowledge may help in implementing follow-up approaches after SARS-CoV-2 infection.

Over the last years, there was an increase in the number and severity of Clostridium difficile infections (CDI) in all medical settings, including the intensive care unit (ICU). The current prevalence of CDI among ICU patients is estimated at 0.4–4% and has severe impact on morbidity and mortality. An estimated 10–20% of patients are colonized with C. difficile without showing signs of infection and spores can be found throughout ICUs. It is not yet possible to predict whether and when colonization will become infection. Figuratively speaking, our patients are sleeping with the enemy and we do not know when this enemy awakens.Most patients developing CDI in the ICU show a mild to moderate disease course. Nevertheless, difficult-to-treat severe and complicated cases also occur. Treatment failure is particularly frequent in ICU patients due to comorbidities and the necessity of continued antibiotic treatment. This review will give an overview of current diagnostic, therapeutic, and prophylactic challenges and options with a special focus on the ICU patient.First, we focus on diagnosis and prognosis of disease severity. This includes inconsistencies in the definition of disease severity as well as diagnostic problems. Proceeding from there, we discuss that while at first glance the choice of first-line treatment for CDI in the ICU is a simple matter guided by international guidelines, there are a number of specific problems and inconsistencies. We cover treatment in severe CDI, the problem of early recognition of treatment failure, and possible concepts of intensifying treatment. In conclusion, we mention methods for CDI prevention in the ICU.

Purpose Some patients experience long-term sequelae after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, despite a present post-COVID condition, defined as “any symptom lasting longer than 12 weeks,” only a subset of patients search for medical help and therapy. Method We invited all adults with a positive real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 between March 2020 and September 2021 (n = 4091) in the city of Jena to answer a standardized questionnaire including demographic information, the course of the acute infection and current health status. K-means-clustering of quality of life (QoL) was used to explore post-COVID subgroups. Results A total of 909 participants at a median interval of 367 (IQR 291/403) days after acute infection were included in the analysis. Of those, 643 (70.7%) complained of having experienced persistent symptoms at the time of the survey. Cluster analysis based on QoL revealed two subgroups of people with persistent post-COVID symptoms. Whereas 189/643 participants (29.4%) showed markedly diminished QoL, normal QoL was detected in 454/643 individuals (70.6%). Conclusion Despite persistent symptoms being reported by nearly three quarters of participants, only one-third of these described a significant reduction in QoL (cluster 1), whereas the other two-thirds reported a near-normal QoL (cluster 2), thus indicating a differentiation between “post-COVID disease” and “post-COVID condition”. The prevalence of clinically relevant post-COVID disease was at least 20.7%. Health policies should focus on this subset.