TY - JOUR A1 - Heinz, Tizian A1 - Wild, Moritz A1 - Eidmann, Annette A1 - Weißenberger, Manuel A1 - Rak, Dominik A1 - Nedopil, Alexander Johannes A1 - Rudert, Maximilian A1 - Stratos, Ioannis T1 - Impact of COVID-19 on fracture incidence in germany: a comparative age and gender analysis of pre- and post-outbreak periods JF - Healthcare N2 - In March 2020, Germany imposed a nationwide lockdown to curb the spread of COVID-19, prompting questions about the impact on the incidence of common fractures. This study examined 15 fracture types in pre-outbreak (2010–2019) and post-outbreak (2020–2021) periods, using data categorized by age (18–64 years, 65 years) and sex (male, female). Linear regression assessed annual growth rates, and mean fracture numbers were compared across periods for significant differences. Results indicated a positive correlation between fracture incidence rates and time for various types, such as cervical, thoracic, lumbar, and pelvic spine fractures, rib fractures, femoral neck, pertrochanteric femur, femoral shaft, and ankle fractures. Frequencies of proximal humerus, distal radius, femoral neck, pertrochanteric femur, femoral shaft, and ankle fractures in 2020 and 2021 were within predicted ranges from previous years. However, rib fractures and spinal fractures (cervical, thoracic, lumbar, and pelvic spine) occurred less frequently during this time. Notably, this study found a consistent decline in most fracture types for individuals aged 18–64 after the pandemic’s onset, while the fracture incidence of hip fractures, often referred to as fragility fractures, for those over 65 remained unchanged. Fibula fractures showed the most considerable decrease in both age groups. In conclusion, the COVID-19 pandemic substantially impacted fracture incidence, with lower rates among individuals under 65 and unchanged fragility fractures in the elderly population. KW - COVID-19 KW - fracture incidence KW - age and gender analysis KW - pre- and post-outbreak comparison KW - fragility fractures KW - linear regression Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-362686 SN - 2227-9032 VL - 11 IS - 15 ER - TY - JOUR A1 - Osmanoglu, Özge A1 - Gupta, Shishir K. A1 - Almasi, Anna A1 - Yagci, Seray A1 - Srivastava, Mugdha A1 - Araujo, Gabriel H. M. A1 - Nagy, Zoltan A1 - Balkenhol, Johannes A1 - Dandekar, Thomas T1 - Signaling network analysis reveals fostamatinib as a potential drug to control platelet hyperactivation during SARS-CoV-2 infection JF - Frontiers in Immunology N2 - Introduction Pro-thrombotic events are one of the prevalent causes of intensive care unit (ICU) admissions among COVID-19 patients, although the signaling events in the stimulated platelets are still unclear. Methods We conducted a comparative analysis of platelet transcriptome data from healthy donors, ICU, and non-ICU COVID-19 patients to elucidate these mechanisms. To surpass previous analyses, we constructed models of involved networks and control cascades by integrating a global human signaling network with transcriptome data. We investigated the control of platelet hyperactivation and the specific proteins involved. Results Our study revealed that control of the platelet network in ICU patients is significantly higher than in non-ICU patients. Non-ICU patients require control over fewer proteins for managing platelet hyperactivity compared to ICU patients. Identification of indispensable proteins highlighted key subnetworks, that are targetable for system control in COVID-19-related platelet hyperactivity. We scrutinized FDA-approved drugs targeting indispensable proteins and identified fostamatinib as a potent candidate for preventing thrombosis in COVID-19 patients. Discussion Our findings shed light on how SARS-CoV-2 efficiently affects host platelets by targeting indispensable and critical proteins involved in the control of platelet activity. We evaluated several drugs for specific control of platelet hyperactivity in ICU patients suffering from platelet hyperactivation. The focus of our approach is repurposing existing drugs for optimal control over the signaling network responsible for platelet hyperactivity in COVID-19 patients. Our study offers specific pharmacological recommendations, with drug prioritization tailored to the distinct network states observed in each patient condition. Interactive networks and detailed results can be accessed at https://fostamatinib.bioinfo-wuerz.eu/. KW - signaling network KW - controllability KW - platelet KW - SARS-CoV-2 KW - fostamatinib KW - drug repurposing KW - COVID-19 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-354158 VL - 14 ER - TY - JOUR A1 - Pilgram, Lisa A1 - Eberwein, Lukas A1 - Wille, Kai A1 - Koehler, Felix C. A1 - Stecher, Melanie A1 - Rieg, Siegbert A1 - Kielstein, Jan T. A1 - Jakob, Carolin E. M. A1 - Rüthrich, Maria A1 - Burst, Volker A1 - Prasser, Fabian A1 - Borgmann, Stefan A1 - Müller, Roman-Ulrich A1 - Lanznaster, Julia A1 - Isberner, Nora A1 - Tometten, Lukas A1 - Dolff, Sebastian T1 - Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease JF - Infection N2 - Purpose The ongoing pandemic caused by the novel severe acute respiratory coronavirus 2 (SARS-CoV-2) has stressed health systems worldwide. Patients with chronic kidney disease (CKD) seem to be more prone to a severe course of coronavirus disease (COVID-19) due to comorbidities and an altered immune system. The study’s aim was to identify factors predicting mortality among SARS-CoV-2-infected patients with CKD. Methods We analyzed 2817 SARS-CoV-2-infected patients enrolled in the Lean European Open Survey on SARS-CoV-2-infected patients and identified 426 patients with pre-existing CKD. Group comparisons were performed via Chi-squared test. Using univariate and multivariable logistic regression, predictive factors for mortality were identified. Results Comparative analyses to patients without CKD revealed a higher mortality (140/426, 32.9% versus 354/2391, 14.8%). Higher age could be confirmed as a demographic predictor for mortality in CKD patients (> 85 years compared to 15–65 years, adjusted odds ratio (aOR) 6.49, 95% CI 1.27–33.20, p = 0.025). We further identified markedly elevated lactate dehydrogenase (> 2 × upper limit of normal, aOR 23.21, 95% CI 3.66–147.11, p < 0.001), thrombocytopenia (< 120,000/µl, aOR 11.66, 95% CI 2.49–54.70, p = 0.002), anemia (Hb < 10 g/dl, aOR 3.21, 95% CI 1.17–8.82, p = 0.024), and C-reactive protein (≥ 30 mg/l, aOR 3.44, 95% CI 1.13–10.45, p = 0.029) as predictors, while renal replacement therapy was not related to mortality (aOR 1.15, 95% CI 0.68–1.93, p = 0.611). Conclusion The identified predictors include routinely measured and universally available parameters. Their assessment might facilitate risk stratification in this highly vulnerable cohort as early as at initial medical evaluation for SARS-CoV-2. KW - chronic kidney disease KW - COVID-19 KW - LEOSS KW - predictive factor KW - SARS-CoV-2 Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-308957 SN - 0300-8126 SN - 1439-0973 VL - 49 IS - 4 ER - TY - JOUR A1 - Beierle, Felix A1 - Pryss, Rüdiger A1 - Aizawa, Akiko T1 - Sentiments about mental health on Twitter — before and during the COVID-19 pandemic JF - Healthcare N2 - During the COVID-19 pandemic, the novel coronavirus had an impact not only on public health but also on the mental health of the population. Public sentiment on mental health and depression is often captured only in small, survey-based studies, while work based on Twitter data often only looks at the period during the pandemic and does not make comparisons with the pre-pandemic situation. We collected tweets that included the hashtags #MentalHealth and #Depression from before and during the pandemic (8.5 months each). We used LDA (Latent Dirichlet Allocation) for topic modeling and LIWC, VADER, and NRC for sentiment analysis. We used three machine-learning classifiers to seek evidence regarding an automatically detectable change in tweets before vs. during the pandemic: (1) based on TF-IDF values, (2) based on the values from the sentiment libraries, (3) based on tweet content (deep-learning BERT classifier). Topic modeling revealed that Twitter users who explicitly used the hashtags #Depression and especially #MentalHealth did so to raise awareness. We observed an overall positive sentiment, and in tough times such as during the COVID-19 pandemic, tweets with #MentalHealth were often associated with gratitude. Among the three classification approaches, the BERT classifier showed the best performance, with an accuracy of 81% for #MentalHealth and 79% for #Depression. Although the data may have come from users familiar with mental health, these findings can help gauge public sentiment on the topic. The combination of (1) sentiment analysis, (2) topic modeling, and (3) tweet classification with machine learning proved useful in gaining comprehensive insight into public sentiment and could be applied to other data sources and topics. KW - COVID-19 KW - coronavirus KW - public health KW - sentiment analysis KW - topic modeling KW - machine learning Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-355192 SN - 2227-9032 VL - 11 IS - 21 ER - TY - JOUR A1 - Kerwagen, Fabian A1 - Riemer, Uwe A1 - Wachter, Rolf A1 - von Haehling, Stephan A1 - Abdin, Amr A1 - Böhm, Michael A1 - Schulz, Martin A1 - Störk, Stefan T1 - Impact of the COVID-19 pandemic on implementation of novel guideline-directed medical therapies for heart failure in Germany: a nationwide retrospective analysis JF - The Lancet Regional Health - Europe N2 - Background Guideline-directed medical therapy (GDMT) is the cornerstone in the treatment of patients with heart failure and reduced ejection fraction (HFrEF) and novel substances such as sacubitril/valsartan (S/V) and sodium-glucose co-transporter-2 inhibitors (SGLT2i) have demonstrated marked clinical benefits. We investigated their implementation into real-world HF care in Germany before, during, and after the COVID-19 pandemic period. Methods The IQVIA LRx data set is based on ∼80% of 73 million people covered by the German statutory health insurance. Prescriptions of S/V were used as a proxy for HFrEF. Time trends were analysed between Q1/2016 and Q2/2023 for prescriptions for S/V alone and in combination therapy with SGLT2i. Findings The number of patients treated with S/V increased from 5260 in Q1/2016 to 351,262 in Q2/2023. The share of patients with combination therapy grew from 0.6% (29 of 5260) to 14.2% (31,128 of 219,762) in Q2/2021, and then showed a steep surge up to 54.8% (192,429 of 351,262) in Q2/2023, coinciding with the release of the European Society of Cardiology (ESC) guidelines for HF in Q3/2021. Women and patients aged >80 years were treated less often with combined therapy than men and younger patients. With the start of the COVID-19 pandemic, the number of patients with new S/V prescriptions dropped by 17.5% within one quarter, i.e., from 26,855 in Q1/2020 to 22,145 in Q2/2020, and returned to pre-pandemic levels only in Q1/2021. Interpretation The COVID-19 pandemic was associated with a 12-month deceleration of S/V uptake in Germany. Following the release of the ESC HF guidelines, the combined prescription of S/V and SGLT2i was readily adopted. Further efforts are needed to fully implement GDMT and strengthen the resilience of healthcare systems during public health crises. KW - health policy KW - oncology KW - internal medicine KW - heart failure KW - COVID-19 KW - sacubitril-valsartan KW - sodium-glucose co-transporter-2 inhibitors KW - guideline-directed medical therapy KW - evidence-based practice KW - real-world Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-350510 SN - 2666-7762 VL - 35 ER - TY - JOUR A1 - Riederer, Peter A1 - ter Meulen, Volker T1 - Coronaviruses: a challenge of today and a call for extended human postmortem brain analyses JF - Journal of Neural Transmission N2 - While there is abounding literature on virus-induced pathology in general and coronavirus in particular, recent evidence accumulates showing distinct and deleterious brain affection. As the respiratory tract connects to the brain without protection of the blood–brain barrier, SARS-CoV-2 might in the early invasive phase attack the cardiorespiratory centres located in the medulla/pons areas, giving rise to disturbances of respiration and cardiac problems. Furthermore, brainstem regions are at risk to lose their functional integrity. Therefore, long-term neurological as well as psychiatric symptomatology and eventual respective disorders cannot be excluded as evidenced from influenza-A triggered post-encephalitic Parkinsonism and HIV-1 triggered AIDS–dementia complex. From the available evidences for coronavirus-induced brain pathology, this review concludes a number of unmet needs for further research strategies like human postmortem brain analyses. SARS-CoV-2 mirroring experimental animal brain studies, characterization of time-dependent and region-dependent spreading behaviours of coronaviruses, enlightening of pathological mechanisms after coronavirus infection using long-term animal models and clinical observations of patients having had COVID-19 infection are calling to develop both protective strategies and drug discoveries to avoid early and late coronavirus-induced functional brain disturbances, symptoms and eventually disorders. To fight SARS-CoV-2, it is an urgent need to enforce clinical, molecular biological, neurochemical and genetic research including brain-related studies on a worldwide harmonized basis. KW - coronavirus KW - COVID-19 KW - SARS-CoV-2 brain disorders KW - cardiorespiratory centre KW - brain pathology KW - neurological symptoms/disorders KW - brain stem KW - Parkinson’s disease KW - Parkinsonism KW - Alzheimer’s disease KW - multiple sclerosis KW - movement disorders KW - neuroinvasion KW - therapy KW - neuroprotection KW - depression KW - cognitive dysfunction KW - brain bank KW - postmortem studies Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-314637 SN - 0300-9564 SN - 1435-1463 VL - 127 IS - 9 ER - TY - JOUR A1 - Holzmann-Littig, Christopher A1 - Stadler, David A1 - Popp, Maria A1 - Kranke, Peter A1 - Fichtner, Falk A1 - Schmaderer, Christoph A1 - Renders, Lutz A1 - Braunisch, Matthias Christoph A1 - Assali, Tarek A1 - Platen, Louise A1 - Wijnen-Meijer, Marjo A1 - Lühnen, Julia A1 - Steckelberg, Anke A1 - Pfadenhauer, Lisa A1 - Haller, Bernhard A1 - Fuetterer, Cornelia A1 - Seeber, Christian A1 - Schaaf, Christian T1 - Locating medical information during an infodemic: information seeking behavior and strategies of health-care workers in Germany JF - Healthcare N2 - Background: The COVID-19 pandemic has led to a flood of — often contradictory — evidence. HCWs had to develop strategies to locate information that supported their work. We investigated the information-seeking of different HCW groups in Germany. Methods: In December 2020, we conducted online surveys on COVID-19 information sources, strategies, assigned trustworthiness, and barriers — and in February 2021, on COVID-19 vaccination information sources. Results were analyzed descriptively; group comparisons were performed using χ\(^2\)-tests. Results: For general COVID-19-related medical information (413 participants), non-physicians most often selected official websites (57%), TV (57%), and e-mail/newsletters (46%) as preferred information sources — physicians chose official websites (63%), e-mail/newsletters (56%), and professional journals (55%). Non-physician HCWs used Facebook/YouTube more frequently. The main barriers were insufficient time and access issues. Non-physicians chose abstracts (66%), videos (45%), and webinars (40%) as preferred information strategy; physicians: overviews with algorithms (66%), abstracts (62%), webinars (48%). Information seeking on COVID-19 vaccination (2700 participants) was quite similar, however, with newspapers being more often used by non-physicians (63%) vs. physician HCWs (70%). Conclusion: Non-physician HCWs more often consulted public information sources. Employers/institutions should ensure the supply of professional, targeted COVID-19 information for different HCW groups. KW - COVID-19 KW - infodemic KW - health-care workers KW - HCW KW - information strategies KW - emergency information Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-319306 SN - 2227-9032 VL - 11 IS - 11 ER - TY - JOUR A1 - Lambertini, Alessandro A1 - Hartrampf, Philipp E. A1 - Higuchi, Takahiro A1 - Serfling, Sebastian E. A1 - Meybohm, Patrick A1 - Schirbel, Andreas A1 - Buck, Andreas K. A1 - Werner, Rudolf A. T1 - CXCR4-targeted molecular imaging after severe SARS-Cov-2 infection JF - European Journal of Nuclear Medicine and Molecular Imaging N2 - No abstract available. KW - CXCR4-targeting KW - SARS-CoV-2 KW - COVID-19 KW - molecular imaging Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-324619 VL - 50 IS - 1 ER - TY - JOUR A1 - Scheiner, Christin A1 - Seis, Christian A1 - Kleindienst, Nikolaus A1 - Buerger, Arne T1 - Psychopathology, protective factors, and COVID-19 among adolescents: a structural equation model JF - International Journal of Environmental Research and Public Health N2 - Since the outbreak of the COVID-19 pandemic in December 2019 and the associated restrictions, mental health in children and adolescents has been increasingly discussed in the media. Negative impacts of the pandemic, including a sharp increase in psychopathology and, consequently, reduced quality of life, appear to have particularly affected children and young people, who may be especially vulnerable to the adverse effects of isolation. Nevertheless, many children and adolescents have managed to cope well with the restrictions, without deterioration of their mental health. The present study therefore explored the links between COVID-19 infection (in oneself or a family member, as well as the death of a family member due to the virus), protective factors such as self-efficacy, resilience, self-esteem, and health-related quality of life, and measures of psychopathology such as depression scores, internalizing/externalizing problems, emotion dysregulation, and victimization. For this purpose, we examined data from 2129 adolescents (mean age = 12.31, SD = 0.67; 51% male; 6% born outside of Germany) using a structural equation model. We found medium to high loadings of the manifest variables with the latent variables (COVID-19, protective factors, and psychopathology). Protective factors showed a significant negative correlation with psychopathology. However, COVID-19 had a weak connection with psychopathology in our sample. External pandemic-related factors (e.g., restrictions) and their interaction with existing psychopathology or individual protective factors appear to have a greater influence on young people’s mental health than the impact of the virus per se. Sociopolitical efforts should be undertaken to foster prevention and promote individual resilience, especially in adolescence. KW - adolescence KW - mental health KW - psychopathology KW - protective factors KW - COVID-19 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-304475 SN - 1660-4601 VL - 20 IS - 3 ER - TY - JOUR A1 - Heinz, Tizian A1 - Eidmann, Annette A1 - Jakuscheit, Axel A1 - Laux, Tino A1 - Rudert, Maximilian A1 - Stratos, Ioannis T1 - Demographics and trends for inbound medical tourism in Germany for orthopedic patients before and during the COVID-19 pandemic JF - International Journal of Environmental Research and Public Health N2 - Medical tourism is a rapidly growing sector of economic growth and diversification. However, data on the demographics and characteristics of the traveling patients are sparse. In this study, we analyzed the common demographic properties and characteristics of the inbound medical tourists seeking orthopedic medical care in Germany for the years 2010 to 2019 compared to a domestic group. At the same time, we examined how the COVID-19 pandemic outbreak of 2020 changed the field of medical tourism in Germany. Calculations were performed using administrative hospital data provided by the Federal Statistical Department of Germany. Data were analyzed from the years 2010 to 2020. A total of six elective orthopedic surgery codes (bone biopsy, knee arthroplasty, foot surgery, osteotomy, hardware removal, and arthrodesis) were identified as key service indicators for medical tourism and further analyzed. Factors including residence, sex, year, and type of elective surgery were modeled using linear regression analysis. Age and sex distributions were compared between patients living inside Germany (DE) or outside Germany (non-DE). Between 2010 and 2020, 6,261,801 orthopedic procedures were coded for the DE group and 27,420 key procedures were identified for the non-DE group. Medical tourists were predominantly male and significantly younger than the domestic population. The linear regression analysis of the OPS codes over the past years showed a significantly different slope between the DE and non-DE groups only for the OPS code “hardware removal”. With the COVID-19 pandemic, an overall decline in performed orthopedic procedures was observed for the non-DE and the DE group. A significant reduction below the 95% prediction bands for the year 2020 could be shown for hardware removal and foot surgery (for DE), and for hardware removal, knee arthroplasty, foot surgery, and osteotomy (for non-DE). This study is the first to quantify inbound medical tourism in elective orthopedic surgery in Germany. The COVID-19 pandemic negatively affected many — but not all — areas of orthopedic surgery. It has to be seen how this negative trend will develop in the future. KW - inbound medical tourism KW - orthopedic surgery KW - Germany KW - COVID-19 KW - pandemic Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-304955 SN - 1660-4601 VL - 20 IS - 2 ER -