Post-COVID-19 condition is not only a question of persistent symptoms: structured screening including health-related quality of life reveals two separate clusters of post-COVID.

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.

[Outpatient Long/Post-COVID Care: Barriers and Desires of Affected Persons to Medical Care]. / Ambulante Long/Post-COVID-Versorgung: Analyse möglicher Barrieren und Wünsche von Betroffenen an die ärztliche Betreuung.

INTRODUCTION: Persistent and new-onset symptoms after SARS-CoV-2 infection (so-called Long/Post-COVID syndrome) represent a major challenge for our healthcare system. However, there have been limited data on primary outpatient care and care planning, complicating patient flow management and ultimately patient care. Assessing the care reality of patients with Long/Post-COVID-symptoms, as well as their difficulties and desires in receiving medical care, is a necessary first step toward improving outpatient care. METHODS: The JenUP study (Jena study on the population-based incidence of Post-COVID complaints) is a questionnaire-based survey of all adults in the city of Jena who were registered with RT-PCR-confirmed SARS-CoV-2 infection between March 2020 and September 2021. Part of this study focused on the medical care of the affected persons as well as subjective difficulties of the patients in the context of treatment. RESULTS: A total of 1,008 of the 4,209 individuals responded to the questionnaire; 922 (91,5%) experienced at least one Long/Post-COVID-associated symptom. 85,6% of these individuals (790/922) also provided detailed information about contacts with health care facilities. Three out of four persons (590/790) consulted their general practitioner/family doctor in connection with their complaints and 155/790 (19,6%) specialists in addition (most frequently mentioned were specialists in internal medicine - 7,1% (55/790)). Difficulties in obtaining a subjectively required therapy were mentioned by 22,6% (162/718). The main reasons were the patient's apparent feeling of "not being sick enough" (69/162) and a lack of a specialist consultant (65/162). 27% (247/919) of all subjects with Long/Post-COVID complaints expressed a desire for a specific consultant. CONCLUSION: Primary care physicians represent a central element of outpatient care for Long/Post-COVID patients. In addition, nationwide structures for interdisciplinary care should be established according to the national S1 guideline. Analysis of wishes for medical care and perceived barriers to accessing it represent a first step in improving outpatient care for Long/Post-COVID patients.

Variations and Predictors of Post-COVID Syndrome Severity in Patients Attending a Post-COVID Outpatient Clinic.

A relevant proportion of patients suffer from long-lasting impairments following an acute SARS-CoV-2 infection. The proposed post-COVID syndrome (PCS) score may improve comparison in the course and classification of affected patients. A prospective cohort of 952 patients presenting to the post-COVID outpatient clinic at Jena University Hospital, Germany, was enrolled. Patients received a structured examination. PCS score was calculated per visit. A total of 378 (39.7%) and 129 (13.6%) patients of the entire population visited the outpatient clinic two or three times, respectively (female: 66.4%; age: 49.5 (SD = 13) years). The initial presentation took place, on average, 290 (SD = 138) days after acute infection. The most frequently reported symptoms were fatigue (80.4%) and neurological impairments (76.1%). The mean PCS scores of patients with three visits were 24.6 points (SD = 10.9), 23.0 points (SD = 10.9) and 23.5 points (SD = 11.5) (p = 0.407), indicating moderate PCS. Female sex (p < 0.001), preexisting coagulation disorder (p = 0.021) and coronary artery disease (p = 0.032) were associated with higher PCS scores. PCS is associated with a multitude of long-lasting problems. The PCS score has proven its capability to objectify and quantify PCS symptoms in an outpatient setting. The influence of therapeutic measures on various PCS aspects should be the subject of further analyses.

Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis.

OBJECTIVE: Clostridioides difficile infection (CDI) is a common healthcare-associated infection and associated with high morbidity and mortality. As current guidelines recommend treatment stratified for disease severity, this study aimed to identify predictors of 30-day mortality in order to develop a robust prediction model. DESIGN: This was a retrospective analysis of 207 inpatients with CDI who were treated at the Jena University Hospital between September 2011 and December 2015. In a training cohort (n=127), predictors of 30-day mortality were identified by receiver operating characteristics analysis and logistic regression. The derived model was validated in an independent cohort of 80 inpatients with CDI. RESULTS: Within 30 days, 35 (28%) patients in the training cohort died from any cause. C-reactive protein (CRP) of ≥121 mg/L (OR 3.80; 95% CI 1.64 to 7.80; p=0.003) and lower systolic blood pressure of ≤104 mm Hg (OR 3.73; 95% CI 1.63 to 8.53; p=0.002) at diagnosis as well as development of renal impairment (serum creatinine >1.5×baseline; OR 5.61; 95% CI 1.94 to 16.26; p=0.035) within the first 6 days were associated with 30-day mortality in univariate analysis. The use of these parameters enabled correct mortality prediction in 73% of cases on the day of diagnosis and in 76% at day 6. In the validation cohort, 30-day mortality was 18/80 (23%). Our model enabled a 73.7% correct prediction concerning 30-day mortality on day 6 after diagnosis of CDI. CONCLUSION: Hypotension and CRP elevation on the day of diagnosis as well as occurrence of kidney dysfunction during the first 6 days are suitable parameters to predict 30-day mortality in patients with CDI who need to be treated in the hospital.