ObjectivesTo describe symptoms and symptom clusters of post-covid syndrome six to 12 months after acute infection, describe risk factors, and examine the association of symptom clusters with general health and working capacity.DesignPopulation based, cross sectional studySettingAdults aged 18-65 years with confirmed SARS-CoV-2 infection between October 2020 and March 2021 notified to health authorities in four geographically defined regions in southern Germany.Participants50 457 patients were invited to participate in the study, of whom 12 053 (24%) responded and 11 710 (58.8% (n=6881) female; mean age 44.1 years; 3.6% (412/11 602) previously admitted with covid-19; mean follow-up time 8.5 months) could be included in the analyses.Main outcome measuresSymptom frequencies (six to 12 months after versus before acute infection), symptom severity and clustering, risk factors, and associations with general health recovery and working capacity.ResultsThe symptom clusters fatigue (37.2% (4213/11 312), 95% confidence interval 36.4% to 38.1%) and neurocognitive impairment (31.3% (3561/11 361), 30.5% to 32.2%) contributed most to reduced health recovery and working capacity, but chest symptoms, anxiety/depression, headache/dizziness, and pain syndromes were also prevalent and relevant for working capacity, with some differences according to sex and age. Considering new symptoms with at least moderate impairment of daily life and ≤80% recovered general health or working capacity, the overall estimate for post-covid syndrome was 28.5% (3289/11 536, 27.7% to 29.3%) among participants or at least 6.5% (3289/50 457) in the infected adult population (assuming that all non-responders had completely recovered). The true value is likely to be between these estimates.ConclusionsDespite the limitation of a low response rate and possible selection and recall biases, this study suggests a considerable burden of self-reported post-acute symptom clusters and possible sequelae, notably fatigue and neurocognitive impairment, six to 12 months after acute SARS-CoV-2 infection, even among young and middle aged adults after mild infection, with a substantial impact on general health and working capacity.Trial registrationGerman registry of clinical studies DRKS 00027012.

Weight loss appears as a strong predictor of survival of patients with amyotrophic lateral sclerosis, yet no data are currently available to describe the life course history of pre-diagnostic body mass index (BMI) in these patients. 393 ALS cases (mean age: 65.8 years, 57.3% men) and 791 controls matched by age and sex from a population-based case-control study of the ALS Registry Swabia were analyzed. Differences of BMI change in cases and controls over time were modeled using a multilevel additive model. In addition, survival in ALS cases by BMI change was modeled using an accelerated failure time model adjusted for prognostic factors. In ALS cases, BMI was consistently higher than in controls in the 20-70 years before the interview. Conditional logistic regression revealed an odds ratio of 1.05 (95% confidence interval (CI) 1.00-1.11, p = 0.041) per 1 kg/m higher BMI 35-45 years before interview. However, a sharp decrease was evident in the BMI of ALS cases about 10 years before disease onset. Moreover, weight loss was strongly associated with shorter survival in ALS patients. Illustrating this, patients with stable weight showed a median survival time of 22.1 (95%-CI 19.2-25.0) months, as compared to 13.4 (95%-CI 10.5-16.3) months for patients with weight loss of 2.5 kg/m over the last 3 months before the interview. Thus, alterations in body weight are present in ALS patients already decades before clinical manifestation of ALS, while weight loss precedes motor symptoms of several years and is associated with poor prognosis.

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To investigate the associations of leptin, adiponectin and high-sensitive (hs) C-reactive protein (CRP) with risk and prognosis of amyotrophic lateral sclerosis (ALS). Data from a population-based case-control study in Southern Germany (10/2010–6/2014) of 289 ALS patients (mean age of 65.7 (SD 10.5) years, 59.5% men) and 506 controls were included. During median follow-up of 14.5 months of 279 ALS patients 104 (53.9% men, 68.9 (10.3) years) died. Serum samples were measured for leptin, adiponectin and hs-CRP. Conditional logistic regression was used to estimate ALS risk. Survival models were used to appraise the prognostic value. ALS patients were characterized by lower levels of school education, BMI and smoking prevalence. Adjusted for covariates, leptin was inversely associated with ALS risk (top vs. bottom quartile: OR 0.49; 95% CI 0.29–0.80), while for adiponectin a positive association was found (OR 2.89; 95% CI 1.78–4.68). Among ALS patients increasing leptin concentrations were associated with longer survival (p for trend 0.002), while for adiponectin no association was found (p for trend 0.55). For hs-CRP no association was found. Leptin and adiponectin, two key hormones regulating energy metabolism, were strongly and independently related with ALS risk. Leptin levels were further negatively related with overall survival of ALS patients.