Mental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 pandemic: results of the German National Cohort (NAKO).

Background: The COVID-19 pandemic prompted a range of studies on mental health, with mixed results. While numerous studies reported worsened conditions in individuals with pre-existing mental disorders, others showed resilience and stability in mental health. However, longitudinal data focusing on the German population are sparse, especially regarding effects of age and pre-existing mental disorders during the early stages of the pandemic. Objectives: To assess the interplay between psychiatric history, age, and the timing of the pandemic, with a focus on understanding how these factors relate to the severity of depression and anxiety symptoms. Methods: Exploratory analyses were based on 135,445 individuals aged 20-72 years from the German National Cohort (NAKO). Depressive and anxiety symptoms were assessed before and after the first wave of the pandemic. Inferential statistical analyses and negative binomial regression models were calculated. Results: Persons with a self-reported psychiatric history exhibited comparable levels of depression and anxiety symptom severity after the first wave of the pandemic compared to the time before. In contrast, individuals without a psychiatric history, particularly those in their 20s to 40s, experienced an increase in mental health symptom severity during the first wave of the pandemic. Limitations: Analyses focuses on the first wave of the pandemic, leaving the long-term mental health effects unexplored. Conclusion: Future research should consider age-specific and mental-health-related factors when addressing global health crises. Additionally, it is important to explore factors influencing resilience and adaptation, aiming to develop targeted interventions and informed policies for effective mental health management during pandemics.

Tranexamic Acid for reduction of intra- and postoperative TRansfusion requirements in elective Abdominal surgery (TATRA): study protocol for an investigator-initiated, multicenter, double-blind, placebo-controlled, randomized superiority trial with two parallel groups.

BACKGROUND: Intra- and postoperative hemorrhage is a relevant problem in major abdominal surgery, leading to acute anemia and necessitating transfusion of packed red blood cells. It is estimated that in 30% of abdominal surgeries, intra- or postoperative transfusion is required. Transfusion potentially has detrimental health effects and poses a considerable socioeconomic burden. Tranexamic acid, a lysine analog inhibiting plasminogen activation and providing clot stability, has been used to reduce hemorrhage. While there is ample evidence in other surgical disciplines, it is almost completely lacking in abdominal surgery. METHODS: This multicenter double-blind parallel group randomized superiority trial will compare tranexamic acid (loading dose 1000 mg over 10 min prior to skin incision, maintenance dose 125 mg/h continuously until skin closure or until 1000 mg have been administered) to placebo in patients ≥ 18 years undergoing elective esophagectomy, gastrectomy, colectomy, rectal resection, pancreatic resection, or hepatectomy. The primary efficacy endpoint is the intra- or postoperative transfusion of at least one unit of packed red blood cells. Key secondary endpoints are the number of transfused units per patient, estimated intraoperative blood loss, postoperative complications/mortality, length of hospital stay, operation/anesthesia time, D-dimer levels, and quality of life. Sample size calculation is based on the assumption that in the control group, 30% of patients require transfusion while the intervention achieves a risk reduction of 33%, reducing the probability to 20%. With a type one error of 5% and a power of 90%, using a two-sided χ2 test, this results in 412 patients per group. Accounting for non-compliance, 425 patients are to be randomized per group. The total trial duration will be 30 months with a recruitment period of 18 months. DISCUSSION: If the proposed trial yielded positive results, the routine use of tranexamic acid in major abdominal surgery would be supported. This would avoid acute anemia with detrimental effects such as tissue hypoxia and organ injury, as well as the negative immediate and delayed effects of transfusions. TRIAL REGISTRATION: EU CT Nr: 2023-509970-43-01, NCT06414031 . Registered on 10 May 2024.

Telemedicine-based antibiotic stewardship program in pediatrics: study protocol of a stepped wedge cluster randomized trial-the TeleKasper study.

BACKGROUND: Overuse and misuse of antibiotics is one of the driving factors of antimicrobial resistance, a growing global health threat. The use of antibiotics is particularly high in children. Even though the implementation of antibiotic stewardship programs (ASP) in pediatrics has been shown to reduce antibiotic use, this implementation has been limited to large university hospitals in Germany. Telemedicine applications might be an effective approach to implement ASP in non-university settings. METHODS: This protocol details the TeleKasper study (Telemedical Competence Network "Antibiotic Stewardship in Pediatrics"). Tele-Kasper is a stepped-wedge cluster-randomized trial that will be conducted across non-university children's hospitals in Germany. The intervention consists of a telemedical consultation service in the form of a network in different German areas, using an app as a communication tool. The primary outcome will be a 20% reduction in overall antibiotic consumption measured using defined daily doses per 100 patient days. DISCUSSION: The TeleKasper study aims to implement and evaluate a prototype for a nationwide antibiotic stewardship program by telemedical means in pediatric departments in non-university hospitals in Germany to promote rational antibiotic use and improve medical care for infections. TRIAL REGISTRATION: German Clinical Trials Register (DRKS) DRKS00028534. Registered on 22nd of April 2022.

User profiles in digitalized healthcare: active, potential, and rejecting - a cross-sectional study using latent class analysis.

BACKGROUND: There is evidence of different use by different groups of people for general health-related applications. Yet, these findings are lacking for digitalized healthcare services. It is also unclear whether typical use patterns can be found and how user types can be characterized. METHODS: The analyses are based on data from 1 821 respondents to the Health Related Beliefs and Health Care Experiences in Germany panel (HeReCa). Digitalized healthcare services, that were used to determine the user types, include for example sick notes before/after examination and disease related training. User types were determined by latent class analysis. Individual groups were characterized using multinomial logistic regressions, taking into account socioeconomic and demographic factors as well as individual attitudes towards digitalization in the healthcare system. RESULTS: Three types were identified: rejecting (27.9%), potential (53.8%) and active (18.3%). Active participants were less likely to be employed, less likely to be highly educated and less skeptical of digital technologies. Potential users were the youngest, most highly-educated and most frequently employed group, with less skepticism than those who rejected. Rejecters were the oldest group, more likely to be female and of higher socio-economic status. CONCLUSIONS: Socio-demographic and socio-economic differences were identified among three user types. It can therefore be assumed that not all population groups will benefit from the trend towards digitalization in healthcare. Steps should be taken to enhance access to innovations and ensure that everyone benefits from them.

Differential associations between SARS-CoV-2 infection, perceived burden of the pandemic and mental health in the German population-based cohort for digital health research.

Understanding the potential adverse effects of the COVID-19-pandemic on mental health remains a challenge for public health. Differentiation between potential consequences of actual infection with SARS-CoV-2 and the subjective burden of the pandemic due to measures and restrictions to daily life still remains elusive. Therefore, we investigated the differential association between infection with SARS-Cov-2 and subjective burden of the pandemic in a study cohort of 7601 participants from the German population-based cohort for digital health research (DigiHero), who were recruited between March 4th and April 25th 2022. Data was collected using the online survey tool LimeSurvey® between March and October 2022 in consecutive surveys, which included questionnaires on infection status and symptoms following COVID-19 as well as retrospective assessment of the subjective burden of the pandemic. We observed an association of a past SARS-CoV-2 infection on deteriorated mental health related symptoms, whereas no association or interaction with burden of the pandemic occurred. The association was driven by participants with persistent symptoms 12 weeks after infection. On a symptom specific level, neuropsychiatric symptoms such as exhaustion and fatigue, concentration deficits and problems with memory function were the primary drivers of the association with small effect sizes between 0.048 and 0.062 ηp2.

Influenza-Associated Excess Mortality and Hospitalization in Germany from 1996 to 2018.

INTRODUCTION: Influenza-associated excess mortality and morbidity is commonly estimated using statistical methods. In Germany, the Robert Koch Institute (RKI) uses the relative mortality distribution method (RMDM) to estimate influenza-associated excess mortality without reporting age-specific values. In order to better differentiate the distribution of the disease burden, a distinction by age is of high relevance. Therefore, we aimed to revise the existing excess mortality model and provide age-specific excess mortality estimates over multiple seasons. We also used the model to determine influenza-associated excess hospitalizations, since the RKI excess hospitalization model is currently based on another approach (i.e., combination of excess physician visits and hospitalized proportion). METHODS: This study was a retrospective data analysis based on secondary data of the German population from 1996-2018. We adapted the RKI's method of estimating influenza-associated excess mortality with the RMDM and also applied this approach to excess hospitalizations. We calculated the number of excess deaths/hospitalizations using weekly and age-specific data. RESULTS: Data available in Germany are suitable for addressing the restrictions of the RKI's mortality model. In total, we estimated 175,858 (176,482 with age stratification) influenza-associated excess all cause deaths between 1995-1996 and 2017-2018 ranging from 0 (17 with age stratification) in 2005-2006 to 25,599 (25,527 with age stratification) in 2017-2018. Total influenza-associated excess deaths were comparable to RKI's estimates in most seasons. Most excess deaths/hospitalizations occurred in patients aged ≥ 60 years (95.42%/57.49%) followed by those aged 35-59 years (3,80%/24,98%). Compared with our model, the RKI hospitalization model implies a substantial underestimation of excess hospitalizations (828,090 vs. 374,200 over all seasons). CONCLUSION: This is the first study that provides age-specific estimates of influenza-associated excess mortality in Germany. The results clearly show that the main burden of influenza is in the elderly, for whom prevention and control measures should be prioritized.

NCCN guideline-concordant cancer care in Sub-Saharan Africa A population-based multi-country study of five cancers.

BACKGROUND: To assess population-based quality of cancer care in Sub-Saharan Africa and to identify specific gaps and joint opportunities, we assessed concordance of diagnostic and treatment with NCCN harmonized guidelines for leading cancer types in 10 countries. METHODS: Adult patients with female breast cancer (BC), cervical cancer (CC), colorectal cancer (CRC), Non-Hodgkin lymphoma (NHL) and prostate cancer (PC) were randomly drawn from 11 population-based cancer registries. Guideline concordance of diagnostics and treatment was assessed using clinical records. In a sub-cohort of 906 patients with potentially curable cancer (stage I-III BC, CC, CRC, PC, aggressive NHL (any stage)) and documentation for >1 month after diagnosis, we estimated factors associated with guideline-concordant treatment or minor deviations (GCT). FINDINGS: Diagnostic information as per guidelines was complete for 1030 (31.7%)of 3246 patients included. In the sub-cohort with curable cancer, GCT was documented in 374 (41.3%, corresponding to 11.7% of 3246 included in the population-based cohort): aggressive NHL (59.8%/9.1% population-based), BC (54.5%/19.0%), PC (39.0%/6.1%), CRC (33.9%/9.5%), and CC (27.8%/11.6%). GCT was most frequent in Namibia (73.1% of curable cancer subset/32.8% population-based) and lowest in Kampala, Uganda (13.5%/3.1%). GCT was negatively associated with poor ECOG status, locally advanced stage, origin from low HDI countries, and a diagnosis of CRC or CC. INTERPRETATION: Quality of diagnostic workup and treatment showed major deficits, with considerable disparities among countries and cancer types. Improved diagnostic services are necessary to increase the share of curable cancer in SSA. Treatment components within NCCN guidelines synergetic for several cancers should be prioritized.

Physicians' Attitudes Towards Artificial Intelligence: Results of the PEAK Project.

Artificial intelligence (AI) is rapidly reshaping the medical field. This study aimed to investigate the attitudes of physicians towards AI in medical care using focus groups. Most participants seemed to be open to the use of AI in medicine if transparency in AI systems is ensured, regulatory barriers are addressed and personal contact to the patient is maintained. This qualitative study allows insights into how German physicians perceive the use of AI in medical care. Gaining input from physicians is important when designing future applications of AI for the practical use in medical care.

Household transmission of Omicron variant of SARS-CoV-2 under conditions of hybrid immunity-a prospective study in Germany.

PURPOSE: We investigated the protection offered by vaccinations and previous infections for the household transmission of Omicron variant of SARS-CoV-2. METHODS: 34,666 participants of the German DigiHero cohort study with two or more household members were invited to a prospective household transmission study between June and December 2022. In case of a positive SARS-CoV-2 test in a household, symptom diaries were completed for at least 14 days. Dry blood spots (DBS) were taken from all household members at the beginning and six to eight weeks later. DBS were analyzed for SARS-CoV-2 antibodies. RESULTS: 1191 individuals from 457 households participated. The risk of acquiring a SARS-CoV-2 infection decreased with higher S-titer levels at the time of exposure (from 80% at titer of 0 binding antibody units (BAU)/ml to 20% at titer of 3000 BAU/ml) and increased linearly with the time since vaccination/previous infection (20% for less than one month to 80% at one year). Transmission probability was also reduced when the symptoms of the primary case were mild and if preventive measures were implemented. CONCLUSION: Vaccinations/previous infections offer a high protection against infection with the Omicron variant for a few months only, supporting the notion of seasonal circulation of the virus.

Impact of QRS misclassifications on heart-rate-variability parameters (results from the CARLA cohort study).

BACKGROUND: Heart rate variability (HRV), an important marker of autonomic nervous system activity, is usually determined from electrocardiogram (ECG) recordings corrected for extrasystoles and artifacts. Especially in large population-based studies, computer-based algorithms are used to determine RR intervals. The Modular ECG Analysis System MEANS is a widely used tool, especially in large studies. The aim of this study was therefore to evaluate MEANS for its ability to detect non-sinus ECG beats and artifacts and to compare HRV parameters in relation to ECG processing. Additionally, we analyzed how ECG processing affects the statistical association of HRV with cardiovascular disease (CVD) risk factors. METHODS: 20-min ECGs from 1,674 subjects of the population-based CARLA study were available for HRV analysis. All ECGs were processed with the ECG computer program MEANS. A reference standard was established by experienced clinicians who visually inspected the MEANS-processed ECGs and reclassified beats if necessary. HRV parameters were calculated for 5-minute segments selected from the original 20-minute ECG. The effects of misclassified typified normal beats on i) HRV calculation and ii) the associations of CVD risk factors (sex, age, diabetes, myocardial infarction) with HRV were modeled using linear regression. RESULTS: Compared to the reference standard, MEANS correctly classified 99% of all beats. The averaged sensitivity of MEANS across all ECGs to detect non-sinus beats was 76% [95% CI: 74.1;78.5], but for supraventricular extrasystoles detection sensitivity dropped to 38% [95% CI: 36.8;38.5]. Time-domain parameters were less affected by false sinus beats than frequency parameters. Compared to the reference standard, MEANS resulted in a higher SDNN on average (mean absolute difference 1.4ms [95% CI: 1.0;1.7], relative 4.9%). Other HRV parameters were also overestimated as well (between 6.5 and 29%). The effect estimates for the association of CVD risk factors with HRV did not differ between the editing methods. CONCLUSION: We have shown that the use of the automated MEANS algorithm may lead to an overestimation of HRV due to the misclassification of non-sinus beats, especially in frequency domain parameters. However, in population-based studies, this has no effect on the observed associations of HRV with risk factors, and therefore an automated ECG analyzing algorithm as MEANS can be recommended here for the determination of HRV parameters.

The association between the child's age and mothers' physical activity: results from the population-based German National Cohort study.

BACKGROUND: Since physical activity is an important determinant of physical and mental health, lower levels of physical activity among mothers reported in previous research are concerning. The aim of this study was to examine whether physical activity levels differ among mothers depending on the age of the youngest child. METHODS: Cross-sectional data from the German National Cohort study, comprising 3959 mothers aged 22-72 years with offspring aged 0-54 years (grouped into 0-5, 6-11, 12-17, 18-29 and > 30 years) was used. The Global Physical Activity Questionnaire (GPAQ) was used to assess physical activity among mothers in leisure time, transport and (occupational and non-occupational) work settings, quantified as MET-minutes per week. Means (with 95% confidence interval) of mothers' weekly MET-minutes were visualized in graphs, stratified by mothers' and the youngest child's age. Linear regression analyses assessed the association between the child's age and self-reported time and intensity of mothers' physical activity within each activity domain and for the total physical activity. RESULTS: Adjusted results suggested that the MET-minutes in work settings were lower among mothers with younger children. This association was clearest in mothers whose youngest child was under 12 years old, among whom lower self-reported physical activity at work compared to mothers with children at age 30 and older was found. No association was observed between the age of the youngest child and mothers' MET-minutes in leisure nor in transport settings. The self-reported physical activity of mothers whose youngest child was in the same child age group was found to be lower with increased maternal age. As expected, the work related activity dominated the self-reported physical activity. CONCLUSIONS: The results show differences in mothers' self-reported physical activity by the age of the youngest child. The strongest difference was related to physical activity in work settings, indicating the need for supportive actions.

University Students' Financial Situation During COVID-19 and Anxiety and Depressive Symptoms: Results of the COVID-19 German Student Well-Being Study (C19 GSWS).

Background: The COVID-19 pandemic has had a major impact on students' financial situation as well as on their mental health. Aim: To examine the reported change in the financial situation of German university students before and across two time points of the COVID-19 pandemic and to evaluate its associations with anxiety and depressive symptoms. Methods: We used data from the cross-sectional COVID-19 German Student Well-being Study conducted at five German universities (N = 7203). Linear regression models were used to analyze associations between a reported change in financial situation and anxiety and depressive symptoms. Results: Twenty-eight percent of the participants reported to have a worsened financial situation at the time of the survey compared to the time prior to the pandemic. A worsened financial situation at the time of the survey as compared to prior to the pandemic was associated with higher levels of anxiety and depressive symptoms reported in all three depression and anxiety scales [a 1.46 point increase on the CES-D 8 scale (95% confidence interval (CI): 1.19; 1.73), a 0.37-point increase in PHQ-2 (95% CI: 0.28; 0.46), and a 0.45-point increase in GAD-2 (95% CI: 0.35; 0.55)]. An improved financial situation, on the other hand, was associated with lower levels of anxiety and depressive symptoms. As for the second change, comparing the current financial situation with the situation during the first wave of the pandemic, the associations with anxiety and depressive symptoms were broadly similar. Conclusion: Our findings suggest that students are a vulnerable population in need of mental and financial support during times of crisis. Future research is needed to obtain insights into potential long-term effects of the pandemic on students' mental health.

Climate-sensitive health counselling in Germany: a cross-sectional study about previous participation and preferences in the general public.

BACKGROUND: In response to climate change (CC), medicine needs to consider new aspects in health counselling of patients. Such climate-sensitive health counselling (CSHC) may include counselling patients on preventing and coping with climate-sensitive diseases or on leading healthy and climate-friendly lifestyles. This study aimed to identify previous participation in and preferences for CSHC as well as associated sociodemographic and attitudinal factors among the general public in Germany. METHODS: We conducted a cross-sectional study in a population-based online panel in five German federal states (04-06/2022). We performed descriptive statistics and multivariable regression analysis to assess prior participation in CSHC and content preferences regarding CSHC, as well as associations between sociodemographic variables and general preference for CSHC. RESULTS: Among 1491 participants (response rate 47.1%), 8.7% explicitly reported having participated in CSHC, while 39.9% had discussed at least one CSHC-related topic with physicians. In the studied sample, 46.7% of participants would like CSHC to be part of the consultation with their physician, while 33.9% rejected this idea. Participants aged 21 to 40 years (versus 51 to 60), individuals alarmed about CC (versus concerned/cautious/disengaged/doubtful/dismissive), and those politically oriented to the left (vs. centre or right) showed greater preference for CSHC in the multivariable regression model. Most participants wanted to talk about links to their personal health (65.1%) as opposed to links to the health of all people (33.2%). CONCLUSIONS: Almost half of the participants in this sample would like to receive CSHC, especially those who are younger, more alarmed about CC and more politically oriented to the left. More research and training on patient-centred implementation of CSHC is needed.

Likelihood of Post-COVID Condition in people with hybrid immunity; data from the German National Cohort (NAKO).

OBJECTIVES: The risk of Post-COVID-19 condition (PCC) under hybrid immunity remains unclear. METHODS: Using data from the German National Cohort (NAKO Gesundheitsstudie), we investigated risk factors for self-reported post-infection symptoms (any PCC is defined as having at least one symptom, and high symptom burden PCC as having nine or more symptoms). RESULTS: Sixty percent of 109,707 participants reported at least one previous SARS-CoV-2 infection; 35% reported having had any symptoms 4-12 months after infection; among them 23% reported nine or more symptoms. Individuals, who did not develop PCC after their first infection, had a strongly reduced risk for PCC after their second infection (50%) and a temporary risk reduction, which waned over 9 months after the preceding infection. The risk of developing PCC strongly depended on the virus variant. Within variants, there was no effect of the number of preceding vaccinations, apart from a strong protection by the fourth vaccination compared to three vaccinations for the Omicron variant (odds ratio = 0.52; 95% confidence interval 0.45-0.61). CONCLUSIONS: Previous infections without PCC and a fourth vaccination were associated with a lower risk of PCC after a new infection, indicating diminished risk under hybrid immunity. The two components of risk reduction after a preceding infection suggest different immunological mechanisms.

Plasma immune signatures can predict rejection-free survival in the first year after pediatric liver transplantation.

BACKGROUND & AIMS: After pediatric liver transplantation (pLT), children undergo life-long immunosuppression since reliable biomarkers for the assessment of rejection probability are scarce. In the multicenter (n = 7) prospective clinical cohort "ChilSFree" study, we aimed to characterize longitudinal dynamics of soluble and cellular immune mediators during the first year after pLT and identify early biomarkers associated with outcome. METHODS: Using a Luminex-based multiplex technique paired with flow cytometry, we characterized longitudinal dynamics of soluble immune mediators (SIMs, n = 50) and immune cells in the blood of 244 patients at eight visits over 1 year: before, and 7/14/21/28 days and 3/6/12 months after pLT. RESULTS: The unsupervised clustering of patients based on SIM profiles revealed six unique SIM signatures associated with clinical outcome. From three signatures linked to improved outcome, one was associated with 1-year-long rejection-free survival and stable graft function and was characterized by low levels of pro-inflammatory SIMs (CXCL8/9/10/12, CCL7, SCGF-ß, sICAM-1), and high levels of regenerative (SCF, TNF-ß) and pro-apoptotic (TRAIL) SIMs (all, p <0.001, fold change >100). Of note, this SIM signature appeared 2 weeks after pLT and remained stable over the entire year, pointing towards its potential as a novel early biomarker for minimizing or weaning immunosuppression. In the blood of these patients, a higher frequency of CD56bright natural killer cells (p <0.01), a known hallmark also associated with operationally tolerant pLT patients, was detected. The concordance of the model for prediction of rejection based on identified SIM signatures was 0.715, and 0.795, in combination with living-related transplantation as a covariate, respectively. CONCLUSIONS: SIM blood signatures may enable the non-invasive and early assessment of rejection risks in the first year after pLT, paving the way for improved clinical management. IMPACT AND IMPLICATIONS: ChilSFree represents the largest pediatric liver transplant (pLT) cohort with paired longitudinal data on soluble immune mediators (SIMs) and immune phenotyping in the first year after pLT. SIM signatures allow for the selection of rejection-free patients 2 weeks after pLT independently of patient diagnosis, sex, or age. The SIM signatures may enable the non-invasive and early assessment of rejection risks, paving the way for minimization or withdrawal of immunosuppression after pLT.

Insights into early recovery from Long COVID-results from the German DigiHero Cohort.

65 million people worldwide are estimated to suffer from long-term symptoms after their SARS-CoV-2 infection (Long COVID). However, there is still little information about the early recovery among those who initially developed Long COVID, i.e. had symptoms 4-12 weeks after infection but no symptoms after 12 weeks. We aimed to identify associated factors with this early recovery. We used data from SARS-CoV-2-infected individuals from the DigiHero study. Participants provided information about their SARS-CoV-2 infections and symptoms at the time of infection, 4-12 weeks, and more than 12 weeks post-infection. We performed multivariable logistic regression to identify factors associated with early recovery from Long COVID and principal component analysis (PCA) to identify groups among symptoms. 5098 participants reported symptoms at 4-12 weeks after their SARS-CoV-2 infection, of which 2441 (48%) reported no symptoms after 12 weeks. Men, younger participants, individuals with mild course of acute infection, individuals infected with the Omicron variant, and individuals who did not seek medical care in the 4-12 week period after infection had a higher chance of early recovery. In the PCA, we identified four distinct symptom groups. Our results indicate differential risk of continuing symptoms among individuals who developed Long COVID. The identified risk factors are similar to those for the development of Long COVID, so people with these characteristics are at higher risk not only for developing Long COVID, but also for longer persistence of symptoms. Those who sought medical help were also more likely to have persistent symptoms.

Comparison between Invasive Intervention and Conservative Treatment in Patients with In-Hospital Myocardial Infarctions: Results from the Regional Myocardial Infarction Registry of Saxony-Anhalt (RHESA) Study.

Background/Objectives: In-hospital myocardial infarctions (AMIs) are less often treated with invasive intervention, compared to out-of-hospital AMIs. We aimed to identify the determinants of invasive intervention in patients with in-hospital AMIs and assess its association with mortality, compared to conservative treatment. Methods: This was a cross-sectional study of in-hospital AMIs in The Regional Myocardial Infarction Registry of Saxony-Anhalt. Patients' characteristics and outcomes were compared based on the treatment strategy (invasive intervention vs. conservative treatment). Logistic regression was performed to assess the determinants of invasive intervention (vs. conservative treatment) and its association with 30-day mortality. Results: Nearly 67% of the patients (259/386) received invasive intervention, and the rest were treated conservatively. Those who were treated with an invasive intervention were younger and had a lower proportion of chronic heart failure than those treated conservatively. Age > 75 years compared to younger patients, pre-existing heart failure, and higher heart rate upon presentation were associated with lower odds of receiving invasive intervention. Hypertension (OR = 2.86, 95% CI [1.45-5.62]) and STEMI vs. NSTEMI (1.96, [1.10-3.68]) were associated with higher odds of invasive intervention. The adjusted odds of 30-day mortality were lower with invasive intervention compared to conservative treatment (0.25, [0.10-0.67]). Conclusions: One-third of the patients with in-hospital AMIs received conservative treatment. Younger age, absence of heart failure, lower heart rate, hypertension, and STEMI were determinants of invasive intervention usage. Invasive intervention had lower odds of 30-day mortality, but longitudinal studies are still needed to assess the efficacy of conservative vs. invasive strategies in in-hospital AMIs.

Childhood and adolescence factors and multiple sclerosis: results from the German National Cohort (NAKO).

BACKGROUND: Multiple Sclerosis (MS) represents the most common inflammatory neurological disease causing disability in early adulthood. Childhood and adolescence factors might be of relevance in the development of MS. We aimed to investigate the association between various factors (e.g., prematurity, breastfeeding, daycare attendance, weight history) and MS risk. METHODS: Data from the baseline assessment of the German National Cohort (NAKO) were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for the association between childhood and adolescence factors and risk of MS. Analyses stratified by sex were conducted. RESULTS: Among a total of 204,273 participants, 858 reported an MS diagnosis. Male sex was associated with a decreased MS risk (HR 0.48; 95% CI 0.41-0.56), while overweight (HR 2.03; 95% CI 1.41-2.94) and obesity (HR 1.89; 95% CI 1.02-3.48) at 18 years of age compared to normal weight were associated with increased MS risk. Having been breastfed for ≤ 4 months was associated with a decreased MS risk in men (HR 0.59; 95% CI 0.40-0.86) compared to no breastfeeding. No association with MS risk was observed for the remaining factors. CONCLUSIONS: Apart from overweight and obesity at the age of 18 years, we did not observe considerable associations with MS risk. The proportion of cases that can be explained by childhood and adolescence factors examined in this study was low. Further investigations of the association between the onset of overweight and obesity in childhood and adolescence and its interaction with physical activity and MS risk seem worthwhile.

The contribution of SARS-CoV-2 to the burden of acute respiratory infections in winter season 2022/2023: results from the DigiHero study.

OBJECTIVES: In winter of 2022/2023 SARS-CoV-2 had developed into one of many seasonal respiratory pathogens, causing an additional burden of acute respiratory infections (ARIs). Although testing was still widely used, many positive tests were not reported for the official statistics. Using data from a population-based cohort, we aimed to investigate the contribution of SARS-CoV-2 to the burden of ARI. METHODS: Over 70,000 participants of the German population-based DigiHero study were invited to a questionnaire about the number and time point of ARI and SARS-CoV-2 test results in winter 2022/2023. We calculated the incidence of non-severe acute respiratory syndrome (SARS) ARI, the additional contribution of SARS-CoV-2, and extrapolated the age-specific estimates to obtain the total burden of SARS-CoV-2 in Germany. RESULTS: For the winter of 2022/2023, 37,708 participants reported 54,813 ARIs, including 9358 SARS-CoV-2 infections. This translated into a cumulative incidence of 145 infections/100 persons for all ARIs, 120 infections/100 persons for non-SARS ARI, and 25 infections/100 persons for SARS ARI (+21%). CONCLUSIONS: Our estimate for ARI related to SARS-CoV-2 is consistent with the difference in all ARI between pre-pandemic years and 2022/2023. This additional burden should be considered, particularly, with respect to the implications for the work force.