Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON)

PURPOSE

The objective examination of the Post-COVID syndrome (PCS) remains difficult due to heterogeneous definitions and clinical phenotypes. The aim of the study was to verify the functionality and correlates of a recently developed PCS score.

METHODS

The PCS score was applied to the prospective, multi-center cross-sectoral cohort (in- and outpatients with SARS-CoV-2 infection) of the "National Pandemic Cohort Network (NAPKON, Germany)". Symptom assessment and patient-reported outcome measure questionnaires were analyzed at 3 and 12 months (3/12MFU) after diagnosis. Scores indicative of PCS severity were compared and correlated to demographic and clinical characteristics as well as quality of life (QoL, EQ-5D-5L).

RESULTS

Six hundred three patients (mean 54.0 years, 60.6% male, 82.0% hospitalized) were included. Among those, 35.7% (215) had no and 64.3% (388) had mild, moderate, or severe PCS. PCS severity groups differed considering sex and pre-existing respiratory diseases. 3MFU PCS worsened with clinical severity of acute infection (p = .011), and number of comorbidities (p = .004). PCS severity was associated with poor QoL at the 3MFU and 12MFU (p < .001).

CONCLUSION

The PCS score correlated with patients' QoL and demonstrated to be instructive for clinical characterization and stratification across health care settings. Further studies should critically address the high prevalence, clinical relevance, and the role of comorbidities.

TRAIL REGISTRATION NUMBER

The cohort is registered at www.

CLINICALTRIALS

gov under NCT04768998.

Twice weekly polymerase chain reaction (PCR) surveillance swabs are not as effective as daily antigen testing for containment of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) outbreaks: A modeling study based on real world data from a child and adolescent psychiatry clinic

OBJECTIVE

In the coronavirus disease 2019 (COVID-19) pandemic, child and adolescent psychiatry wards face the risk of severe acute respiratory coronavirus 2 (SARS-CoV-2) introduction and spread within the facility. In this setting, mask and vaccine mandates are hard to enforce, especially for younger children. Surveillance testing may detect infection early and enable mitigation measures to prevent viral spread. We conducted a modeling study to determine the optimal method and frequency of surveillance testing and to analyze the effect of weekly team meetings on transmission dynamics.

DESIGN AND SETTING

Simulation with an agent-based model reflecting ward structure, work processes, and contact networks from a real-world child and adolescent psychiatry clinic with 4 wards, 40 patients, and 72 healthcare workers.

METHODS

We simulated the spread of 2 SARS-CoV-2 variants over 60 days under surveillance testing with polymerase chain reaction (PCR) tests and rapid antigen tests in different scenarios. We measured the size, peak, and the duration of an outbreak. We compared medians and percentage of spillover events to other wards from 1,000 simulations for each setting.

RESULTS

The outbreak size, peak, and duration were dependent on test frequency, test type, SARS-CoV-2 variant, and ward connectivity. Under surveillance conditions, joint staff meetings and therapists shared between wards did not significantly change median outbreak size under surveillance conditions. With daily antigen testing, outbreaks were mostly confined to 1 ward and median outbreak sizes were lower than with twice-weekly PCR testing (1 vs 22; P < .001).

CONCLUSION

Modeling can help to understand transmission patterns and guide local infection control measures.

Simultaneous Administration of Statins and Pioglitazone Limits Tumor Growth in a Rat Model of Malignant Glioma

BACKGROUND/AIM

Statins are cholesterol reducers with considerable dose-dependent effect against glioma cells. The apoptotic effect could be increased by combining statins or by adding pioglitazone (PGZ). The last one is an anti-diabetic drug, an agonist of the peroxisome proliferator-activated receptor-gamma (PPARG). We used an animal model to test the effect of such combination in vivo and we investigated the changes on immunological processes.

MATERIALS AND METHODS

Thirty-three rats (F344/DuCrl) were anesthetized and glioblastoma (F98) cells were implanted stereotactically. Animals were randomized into four groups: i) control (N=9); ii) intraperitoneal injection of PGZ 10 mg/kg/day (N=8); iii) oral administration of atorvastatin (ATVS) 40 mg/kg and lovastatin (LVS) 50 mg/kg (N=8); iv) oral administration of ATVS 40 mg/kg, LVS 50 mg/kg and PGZ 5 mg/kg (N=8). Treatment was started at 3rd postoperative day and continued for 14 days. The animals were followed-up for 30 days after start of therapy. Survival time, tumor volume, proliferation rate, counts of peripheral and tumor infiltrating leukocytes were compared.

RESULTS

No difference of survival time or incidence of neurological deficits was observed. The combination of statins with PGZ led to a significant reduction in tumor volume by approximately 40% (p<0.05), statins combination was less effective and PGZ alone did not affect tumor volume. The groups treated with statins displayed significantly lower counts of peripheral CD3⁺, CD4⁺ and CD8⁺ T-cells and lower tumor associated CD68-positive cells (p<0.01, in respect to controls or PGZ alone). The proliferation rate was not statistically different. No relevant toxic effects were observed.

DISCUSSION

Statins and PGZ are well-tolerated in rats and produced a significant tumor reduction, while an impact on neurological deficits or survival improvement could not be demonstrated. The reduction of infiltrating macrophages by using statins and PGZ should be further studied.