180 Works

Cardiovascular risk management in patients with severe mental illness or taking antipsychotics: A qualitative study on barriers and facilitators among dutch general practitioners

Kirsti Jakobs, Latoya Lautan, Peter Lucassen, Joost Janzing, Jan van Lieshout, Marion C. J. Biermans & Erik W. M. A. Bischoff
Patients with severe mental illness (SMI) or receiving treatment with antipsychotics (APs) have an increased risk of cardiovascular disease. Cardiovascular risk management (CVRM) increasingly depends on general practitioners (GPs) because of the shift of mental healthcare from secondary to primary care and the surge of off-label AP prescriptions. Nevertheless, the uptake of patients with SMI/APs in CVRM programmes in Dutch primary care is low. To explore which barriers and facilitators GPs foresee when including and...

The impact of an intensive care unit admission on the health status of relatives of intensive care survivors: A prospective cohort study in primary care

Rick Naaktgeboren, Marieke Zegers, Marco Peters, Reinier Akkermans, Hans Peters, Mark van den Boogaard & Floris A. van de Laar
Relatives of intensive care unit (ICU) survivors may suffer from various symptoms after ICU admittance of their relative, known as post-intensive care syndrome-family (PICS-F). Studies regarding PICS-F have been performed but its impact in primary care is unknown. To explore health problems of relatives of ICU survivors in primary care. This is an exploratory prospective cohort study in which we combined data from two hospitals and a primary care research network in the Netherlands. ICU...

sj-docx-1-pss-10.1177_09567976221082637 – Supplemental material for Choice Boosts Curiosity

Patricia Romero Verdugo, Lieke L. F. van Lieshout, Floris P. de Lange & Roshan Cools
Supplemental material, sj-docx-1-pss-10.1177_09567976221082637 for Choice Boosts Curiosity by Patricia Romero Verdugo, Lieke L. F. van Lieshout, Floris P. de Lange and Roshan Cools in Psychological Science

Additional file 1 of Combination therapy with budesonide and N-acetylcysteine ameliorates LPS-induced ALI by attenuating neutrophil recruitment through the miR-196b-5p/Socs3 molecular axis

Yang Li, Huimin Yu, Meifen Lv, Qiaofen Li, Kaiwen Zou & Shaokun Lv
Additional file 1.

Additional file 1 of Impact of medicine shortages on patients - a framework and application in the Netherlands

Doerine J. Postma, Peter A. G. M. De Smet, Kim Notenboom, Hubert G. M. Leufkens & Aukje K. Mantel-Teeuwisse
Additional file 1. Supplement – Impact of medicine shortages on patients: application on learning cases. This supplement provides details on the learning cases and the application of the framework.

Additional file 1 of Lifelong versus not lifelong death wishes in older adults without severe illness: a cross-sectional survey

Elke Elzinga, Margot Zomers, Kiki van der Burg, Sisco van Veen, Lizanne Schweren, Ghislaine van Thiel & Els van Wijngaarden
Additional file 1: Figure 1. Flowchart sample and response.

Additional file 4 of Lifelong versus not lifelong death wishes in older adults without severe illness: a cross-sectional survey

Elke Elzinga, Margot Zomers, Kiki van der Burg, Sisco van Veen, Lizanne Schweren, Ghislaine van Thiel & Els van Wijngaarden
Additional file 4: Table2. Aspects strengthening the wish to die or to live.

Additional file 2 of Patient involvement in basic rheumatology research at Nijmegen: a three year’s responsive evaluation of added value, pitfalls and conditions for success

Maarten P. T. de Wit, M. I. Koenders, Y. Neijland, F. H. J. van den Hoogen, P. M. van der Kraan, F. A. J. van de Loo, H. Berkers, M. Lieon, A. van Caam & C. van den Ende
Additional file 2. Overview of documents included in the thematic analysis.

Additional file 1 of Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study

Isis Ricaño-Ponce, Anca-Lelia Riza, Aline H. de Nooijer, Andrei Pirvu, Stefania Dorobantu, Adina Dragos, Ioana Streata, Mihaela Roskanovic, Inge Grondman, Florentina Dumitrescu, Vinod Kumar, Mihai G. Netea & Mihai Ioana
Additional file 1. Supplementary figure 1. Correlation plot of the 75 proteins included in the study in healthy controls and patients with severe infections. The correlation matrix was generated using the “psych” package in R and it was plotted using corrplot from the “rstatix” package. The colours represent the degree of pairwise correlation based on Spearman’s rank correlation coefficient. Positive correlations are depicted in red, while negative correlations are in blue. The size of the...

Additional file 1 of Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study

Isis Ricaño-Ponce, Anca-Lelia Riza, Aline H. de Nooijer, Andrei Pirvu, Stefania Dorobantu, Adina Dragos, Ioana Streata, Mihaela Roskanovic, Inge Grondman, Florentina Dumitrescu, Vinod Kumar, Mihai G. Netea & Mihai Ioana
Additional file 1. Supplementary figure 1. Correlation plot of the 75 proteins included in the study in healthy controls and patients with severe infections. The correlation matrix was generated using the “psych” package in R and it was plotted using corrplot from the “rstatix” package. The colours represent the degree of pairwise correlation based on Spearman’s rank correlation coefficient. Positive correlations are depicted in red, while negative correlations are in blue. The size of the...

Additional file 2 of Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study

Isis Ricaño-Ponce, Anca-Lelia Riza, Aline H. de Nooijer, Andrei Pirvu, Stefania Dorobantu, Adina Dragos, Ioana Streata, Mihaela Roskanovic, Inge Grondman, Florentina Dumitrescu, Vinod Kumar, Mihai G. Netea & Mihai Ioana
Additional file 2. Supplementary tables. Supplementary Table 1 shows the results from the differential abundance analysis between patients with severe infections and healthy controls. Supplementary Table 2 shows the results from the differential abundance analysis between the two endotypes.

Additional file 1 of Acute mesenteric ischemia: updated guidelines of the World Society of Emergency Surgery

Miklosh Bala, Fausto Catena, Jeffry Kashuk, Belinda De Simone, Carlos Augusto Gomes, Dieter Weber, Massimo Sartelli, Federico Coccolini, Yoram Kluger, Fikri M. Abu-Zidan, Edoardo Picetti, Luca Ansaloni, Goran Augustin, Walter L. Biffl, Marco Ceresoli, Osvaldo Chiara, Massimo Chiarugi, Raul Coimbra, Yunfeng Cui, Dimitris Damaskos, Salomone Di Saverio, Joseph M. Galante, Vladimir Khokha, Andrew W. Kirkpatrick, Kenji Inaba … & Ernest E. Moore
Additional file 1: Table S3. Summary of the updated 2022 guidelines for AMI: statements and recommendations.

Additional file 4 of Patient involvement in basic rheumatology research at Nijmegen: a three year’s responsive evaluation of added value, pitfalls and conditions for success

Maarten P. T. de Wit, M. I. Koenders, Y. Neijland, F. H. J. van den Hoogen, P. M. van der Kraan, F. A. J. van de Loo, H. Berkers, M. Lieon, A. van Caam & C. van den Ende
Additional file 4. Road map for patient involvement in basic research (step-by-step plan).

Additional file 4 of Estimating disability-adjusted life years for breast cancer and the impact of screening in female populations in China, 2015–2030: an exploratory prevalence-based analysis applying local weights

Xin-Xin Yan, Juan Zhu, Yan-Jie Li, Meng-Di Cao, Xin Wang, Hong Wang, Cheng-Cheng Liu, Jing Wang, Yang Li & Ju-Fang Shi
Additional file 4: Age-specific number of females and standardized life expectancy

Additional file 1 of Proenkephalin A 119–159 predicts early and successful liberation from renal replacement therapy in critically ill patients with acute kidney injury: a post hoc analysis of the ELAIN trial

Thilo von Groote, Felix Albert, Melanie Meersch, Raphael Koch, Christian Porschen, Oliver Hartmann, Deborah Bergmann, Peter Pickkers & Alexander Zarbock
Additional file 1. Figure S1: (a) Distribution of pre-RRT penKid values in the study cohort. (b) Boxplots are separated by pre-RRT penKid group (low: ≤89 pmol/l, high: >89 pmol/l).

Additional file 3 of Proenkephalin A 119–159 predicts early and successful liberation from renal replacement therapy in critically ill patients with acute kidney injury: a post hoc analysis of the ELAIN trial

Thilo von Groote, Felix Albert, Melanie Meersch, Raphael Koch, Christian Porschen, Oliver Hartmann, Deborah Bergmann, Peter Pickkers & Alexander Zarbock
Additional file 3. Figure S3: Estimated cumulative cause-specific hazard of successful liberation from RRT (a) and death without prior liberation from RRT (b) with log-transformed pointwise 95% confidence intervals, starting at the landmark on day 3 and including all patients still receiving RRT on the third day.

Additional file 1 of Five years’ experience with value-based quality improvement teams: the key factors to a successful implementation in hospital care

Kirsten Daniels, Marc B. V. Rouppe van der Voort, Douwe H. Biesma & Paul B. van der Nat
Additional file 1: Appendix A. Interview guide.

Additional file 2 of Five years’ experience with value-based quality improvement teams: the key factors to a successful implementation in hospital care

Kirsten Daniels, Marc B. V. Rouppe van der Voort, Douwe H. Biesma & Paul B. van der Nat
Additional file 2: Appendix B. Composition of value-based quality improvement (VBQI) teams.

Additional file 5 of Proenkephalin A 119–159 predicts early and successful liberation from renal replacement therapy in critically ill patients with acute kidney injury: a post hoc analysis of the ELAIN trial

Thilo von Groote, Felix Albert, Melanie Meersch, Raphael Koch, Christian Porschen, Oliver Hartmann, Deborah Bergmann, Peter Pickkers & Alexander Zarbock
Additional file 5. Figure S5: ROC curve showing the prediction of successful liberation from RRT by day 7 based on the pre-RRT penKid value. The penKid threshold maximizing Youden’s index is 100.25 pmol/l yielding a sensitivity of 66% and a specificity of 66% (orange dot).

Additional file 1 of Estimating disability-adjusted life years for breast cancer and the impact of screening in female populations in China, 2015–2030: an exploratory prevalence-based analysis applying local weights

Xin-Xin Yan, Juan Zhu, Yan-Jie Li, Meng-Di Cao, Xin Wang, Hong Wang, Cheng-Cheng Liu, Jing Wang, Yang Li & Ju-Fang Shi
Additional file 1: Demographic, breast cancer epidemiological and screening factors of the female populations in China.

Additional file 3 of Estimating disability-adjusted life years for breast cancer and the impact of screening in female populations in China, 2015–2030: an exploratory prevalence-based analysis applying local weights

Xin-Xin Yan, Juan Zhu, Yan-Jie Li, Meng-Di Cao, Xin Wang, Hong Wang, Cheng-Cheng Liu, Jing Wang, Yang Li & Ju-Fang Shi
Additional file 3: Age-specific incidence, mortality and survival rates of breast cancer.

Supplementary document for A method for optimizing the capture range of the dispersed fringe sensor - 6049533.pdf

Yang Li, Bo Zhang & ShengQian Wang
About how to get the criterion to judge the maximum limitation of the dispersed fringe

Supplementary document for A method for optimizing the capture range of the dispersed fringe sensor - 6049533.pdf

Yang Li, Bo Zhang & ShengQian Wang
About how to get the criterion to judge the maximum limitation of the dispersed fringe

Supplementary document for A method for optimizing the capture range of the dispersed fringe sensor - 6049533.pdf

Yang Li, Bo Zhang & ShengQian Wang
About how to get the criterion to judge the maximum limitation of the dispersed fringe

Registration Year

  • 2023
    12
  • 2022
    162
  • 2021
    2
  • 2020
    4

Resource Types

  • Text
    180

Affiliations

  • Radboud University Nijmegen Medical Centre
    180
  • University of Michigan–Ann Arbor
    56
  • Henan University
    54
  • Minzu University of China
    54
  • Sun Yat-sen University
    54
  • Guizhou Center for Disease Control and Prevention
    54
  • Sir Run Run Shaw Hospital
    54
  • Air Force Medical University
    54
  • Huazhong University of Science and Technology
    54
  • Air Force Engineering University
    54