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2. Heart rate variability and stroke or systemic embolism in patients with atrial fibrillation

Author

Aeschbacher, Stefanie, Bhend, Katalin, Blum, Steffen, Bonati, Leo H., Carmine, Désirée, Conen, David, Eken, Ceylan, Fischer, Urs, Girroy, Corinne, Hennings, Elisa, Krisai, Philipp, Kühne, Michael, Mäder, Nina, Meyer-Zürn, Christine, Meyre, Pascal B., Monsch, Andreas U., Mosher, Luke, Müller, Christian, Osswald, Stefan, Paladini, Rebecca E., Peter, Raffaele, Schweigler, Adrian, Sticherling, Christian, Szucs, Thomas, Völlmin, Gian, Aujesky, Drahomir, Fuhrer, Juerg, Roten, Laurent, Jung, Simon, Mattle, Heinrich, Netzer, Seraina, Adam, Luise, Aubert, Carole Elodie, Feller, Martin, Loewe, Axel, Moutzouri, Elisavet, Schneider, Claudio, Flückiger, Tanja, Groen, Cindy, Ehrsam, Lukas, Hellrigl, Sven, Nuoffer, Alexandra, Rakovic, Damiana, Schwab, Nathalie, Wenger, Rylana, Zarrabi Saffari, Tu Hanh, Rodondi, Nicolas, Reichlin, Tobias, Beynon, Christopher, Dillier, Roger, Deubelbeiss, Michèle, Eberli, Franz, Franzini, Christine, Juchli, Isabel, Liedtke, Claudia, Murugiah, Samira, Nadler, Jacqueline, Obst, Thayze, Roth, Jasmin, Schlomowitsch, Fiona, Schneider, Xiaoye, Studerus, Katrin, Tynan, Noreen, Weishaupt, Dominik, Müller, Andreas, Friedli, Corinne, Kuest, Silke, Scheuch, Karin, Hischier, Denise, Bonetti, Nicole, Grau, Alexandra, Villinger, Jonas, Laube, Eva, Baumgartner, Philipp, Filipovic, Mark, Frick, Marcel, Montrasio, Giulia, Leuenberger, Stefanie, Rutz, Franziska, Beer, Jürg-Hans, Auricchio, Angelo, Anesini, Adriana, Camporini, Cristina, Caputo, Maria Luce, Peronaci, Rebecca, Regoli, Francois, Ronchi, Martina, Conte, Giulio, Brenner, Roman, Altmann, David, Fink, Karin, Gemperle, Michaela, Ammann, Peter, Firmann, Mathieu, Foucras, Sandrine, Rime, Martine, Hayoz, Daniel, Berte, Benjamin, Bühler, Kathrin, Justi, Virgina, Kellner-Weldon, Frauke, Koch, Melanie, Mehmann, Brigitta, Meier, Sonja, Roth, Myriam, Ruckli-Kaeppeli, Andrea, Russi, Ian, Schmidt, Kai, Young, Mabelle, Kobza, Richard, Rigamonti, Elia, Cereda, Carlo, Cianfoni, Alessandro, De Perna, Maria Luisa, Frangi-Kultalahti, Jane, Mayer Melchiorre, Patrizia Assunta, Pin, Anica, Terrot, Tatiana, Vicari, Luisa, Moschovitis, Giorgio, Ehret, Georg, Gallet, Hervé, Guillermet, Elise, Lazeyras, Francois, Lovblad, Karl-Olof, Perret, Patrick, Tavel, Philippe, Teres, Cheryl, Shah, Dipen, Lauriers, Nathalie, Méan, Marie, Salzmann, Sandrine, Schläpfer, Jürg, Porretta, Alessandra Pia, Grêt, Andrea, Novak, Jan, Vitelli, Sandra, Stephan, Frank-Peter, Gallino, Augusto, Di Valentino, Marcello, Aebersold, Helena, Foster, Fabienne, Schwenkglenks, Matthias, Düring, Marco, Sinnecker, Tim, Altermatt, Anna, Amann, Michael, Huber, Petra, Hürbin, Manuel, Ruberte, Esther, Thöni, Alain, Würfel, Jens, Zuber, Vanessa, Coslovsky (Head), Michael, Neuschwander, Pia, Simon, Patrick, Wunderlin, Olivia, Schmid, Ramun, Baumann, Christian, Hämmerle, Peter, Schlageter, Vincent, Coslovsky, Michael, Coduri, Federica, Blum, Manuel R., Stauber, Annina, Beer, Jürg, and Zuern, Christine S.

Published
2024
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4. Development and validation of a new prognostic index for mortality risk in multimorbid adults

Author

Gastens, Viktoria, Chiolero, Arnaud, Anker, Daniela, Schneider, Claudio, Feller, Martin, Bauer, Douglas C, Rodondi, Nicolas, and Del Giovane, Cinzia

Subjects
Public Health, Health Sciences, Patient Safety, Clinical Research, Aging, Good Health and Well Being, Aged, Chronic Disease, Cohort Studies, Humans, Multimorbidity, Prognosis, Risk Factors, General Science & Technology
Abstract

ContextMultimorbidity is highly prevalent among older adults and associated with a high mortality. Prediction of mortality in multimorbid people would be clinically useful but there is no mortality risk index designed for this population. Our objective was therefore to develop and internally validate a 1-year mortality prognostic index for older multimorbid adults.MethodsWe analysed data of the OPERAM cohort study in Bern, Switzerland, including 822 adults aged 70 years or more with multimorbidity (3 or more chronic medical conditions) and polypharmacy (use of 5 drugs or more for >30 days). Time to all-cause mortality was assessed up to 1 year of follow-up. We performed a parametric Weibull regression model with backward stepwise selection to identify mortality risk predictors. The model was internally validated and optimism corrected using bootstrapping techniques. We derived a point-based risk score from the regression coefficients. Calibration and discrimination were assessed by the calibration slope and C statistic.Results805 participants were included in the analysis. During 1-year of follow-up, 158 participants (20%) had died. Age, Charlson-Comorbidity-Index, number of drugs, body mass index, number of hospitalizations, Barthel-Index (functional impairment), and nursing home residency were predictors of 1-year mortality in a multivariable model. Using these variables, the 1-year probability of dying could be predicted with an optimism-corrected C statistic of 0.70. The optimism-corrected calibration slope was 0.93. Based on the derived point-based risk score to predict mortality risk, 7% of the patients classified at low-risk of mortality, 19% at moderate-risk, and 37% at high-risk died after one year of follow-up. A simpler mortality score, without the Charlson-Comorbidity-Index and Barthel-Index, showed reduced discriminative power (optimism-corrected C statistic: 0.59) compared to the full score.ConclusionWe developed and internally validated a mortality risk index including for the first-time specific predictors for multimorbid adults. This new 1-year mortality prediction point-based score allowed to classify multimorbid older patients into three categories of increasing risk of mortality. Further validation of the score among various populations of multimorbid patients is needed before its implementation into practice.

Published
2022

6. Initial evaluation of thyroid dysfunction - Are simultaneous TSH and fT4 tests necessary?

Author

Schneider, Claudio, Feller, Martin, Bauer, Douglas C, Collet, Tinh-Hai, da Costa, Bruno R, Auer, Reto, Peeters, Robin P, Brown, Suzanne J, Bremner, Alexandra P, O'Leary, Peter C, Feddema, Peter, Leedman, Peter J, Aujesky, Drahomir, Walsh, John P, and Rodondi, Nicolas

Subjects
Humans, Thyroid Diseases, Hyperthyroidism, Hypothyroidism, Thyrotropin, Thyroxine, Likelihood Functions, Sensitivity and Specificity, Retrospective Studies, Cross-Sectional Studies, Reference Values, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Western Australia, Female, Male, Young Adult, and over, General Science & Technology
Abstract

ObjectiveGuidelines for thyroid function evaluation recommend testing TSH first, then assessing fT4 only if TSH is out of the reference range (two-step), but many clinicians initially request both TSH and fT4 (one-step). Given limitations of previous studies, we aimed to compare the two-step with the one-step approach in an unselected community-dwelling study population, and develop a prediction score based on clinical parameters that could identify at-risk patients for thyroid dysfunction.DesignCross-sectional analysis of the population-based Busselton Health Study.MethodsWe compared the two-step with the one-step approach, focusing on cases that would be missed by the two-step approach, i.e. those with normal TSH, but out-of-range fT4. We used likelihood ratio tests to identify demographic and clinical parameters associated with thyroid dysfunction and developed a clinical prediction score by using a beta-coefficient based scoring method.ResultsFollowing the two-step approach, 93.0% of all 4471 participants had normal TSH and would not need further testing. The two-step approach would have missed 3.8% of all participants (169 of 4471) with a normal TSH, but a fT4 outside the reference range. In 85% (144 of 169) of these cases, fT4 fell within 2 pmol/l of fT4 reference range limits, consistent with healthy outliers. The clinical prediction score that performed best excluded only 22.5% of participants from TSH testing.ConclusionThe two-step approach may avoid measuring fT4 in as many as 93% of individuals with a very small risk of missing thyroid dysfunction. Our findings do not support the simultaneous initial measurement of both TSH and fT4.

Published
2018

7. Insulin-like growth factor-binding protein 7 and risk of congestive heart failure hospitalization in patients with atrial fibrillation

Author

Aeschbacher, Stefanie, Auberson, Chloé, Blum, Steffen, Bonati, Leo, Ceylan, Selinda, Conen, David, Doerpfeld, Simone, Eken, Ceylan, Girod, Marc, Hämmerle, Peter, Krisai, Philipp, Kühne, Michael, Meyer-Zürn, Christine, Meyre, Pascal, Monsch, Andreas U., Müller, Christian, Osswald, Stefan, Springer, Anne, Sticherling, Christian, Szucs, Thomas, Voellmin, Gian, Zwimpfer, Leon, Aujesky, Drahomir, Fischer, Urs, Fuhrer, Juerg, Roten, Laurent, Jung, Simon, Mattle, Heinrich, Adam, Luise, Aubert, Carole Elodie, Feller, Martin, Loewe, Axel, Moutzouri, Elisavet, Schneider, Claudio, Flückiger, Tanja, Groen, Cindy, Ehrsam, Lukas, Hellrigl, Sven, Nuoffer, Alexandra, Rakovic, Damiana, Schwab, Nathalie, Wenger, Rylana, Rodondi, Nicolas, Beynon, Christopher, Dillier, Roger, Deubelbeiss, Michèle, Eberli, Franz, Franzini, Christine, Juchli, Isabel, Liedtke, Claudia, Nadler, Jacqueline, Obst, Thayze, Roth, Jasmin, Schlomowitsch, Fiona, Schneider, Xiaoye, Studerus, Katrin, Tynan, Noreen, Weishaupt, Dominik, Müller, Andreas, Fontana, Simone, Kuest, Silke, Scheuch, Karin, Hischier, Denise, Bonetti, Nicole, Grau, Alexandra, Villinger, Jonas, Laube, Eva, Baumgartner, Philipp, Filipovic, Mark, Frick, Marcel, Montrasio, Giulia, Leuenberger, Stefanie, Rutz, Franziska, Beer, Jürg-Hans, Auricchio, Angelo, Anesini, Adriana, Camporini, Cristina, Conte, Giulio, Caputo, Maria Luce, Regoli, Francois, Moccetti, Tiziano, Brenner, Roman, Altmann, David, Gemperle, Michaela, Ammann, Peter, Firmann, Mathieu, Foucras, Sandrine, Rime, Martine, Hayoz, Daniel, Berte, Benjamin, Justi, Virgina, Kellner-Weldon, Frauke, Mehmann, Brigitta, Meier, Sonja, Roth, Myriam, Ruckli-Kaeppeli, Andrea, Russi, Ian, Schmidt, Kai, Young, Mabelle, Zbinden, Melanie, Kobza, Richard, Frangi-Kultalahti, Jane, Pin, Anica, Vicari, Luisa, Moschovitis, Giorgio, Ehret, Georg, Gallet, Hervé, Guillermet, Elise, Lazeyras, Francois, Lovblad, Karl-Olof, Perret, Patrick, Tavel, Philippe, Teres, Cheryl, Shah, Dipen, Lauriers, Nathalie, Méan, Marie, Salzmann, Sandrine, Schläpfer, Jürg, Grêt, Andrea, Novak, Jan, Vitelli, Sandra, Stephan, Frank-Peter, Gallino, Augusto, Di Valentino, Marcello, Witassek, Fabienne, Schwenkglenks, Matthias, Würfel, Jens, Altermatt, Anna, Amann, Michael, Huber, Petra, Ruberte, Esther, Sinnecker, Tim, Zuber, Vanessa, Coslovsky, Michael, Benkert, Pascal, Dutilh, Gilles, Markovic, Milica, Simon, Patrick, Schmid, Ramun, Beer, Jürg H., Bonati, Leo H., Blum, Manuel R., Kastner, Peter, and Baguley, Fiona

Published
2021
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8. A Silicon-Based Biosensor for Bacterial Pathogens Detection

Author

Verardo, Roberto, Petralia, Salvatore, Schneider, Claudio, Klaric, Enio, Amore, Maria Grazia, Tosto, Giuseppe, Conoci, Sabrina, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Andò, Bruno, editor, Baldini, Francesco, editor, Di Natale, Corrado, editor, Ferrari, Vittorio, editor, Marletta, Vincenzo, editor, Marrazza, Giovanna, editor, Militello, Valeria, editor, Miolo, Giorgia, editor, Rossi, Marco, editor, Scalise, Lorenzo, editor, and Siciliano, Pietro, editor

Published
2019
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10. Relationships of Overt and Silent Brain Lesions With Cognitive Function in Patients With Atrial Fibrillation

Author

Berger, Sebastian, Bernasconi, Raffaele, Fröhlich, Lorin, Göldi, Tobias, Gugganig, Rebecca, Kofler, Thomas, Krisai, Philipp, Mongiat, Michel, Pudenz, Christiane, Repilado, Javier Ruperti, Schweizer, Aleksandra, Springer, Anne, Stempfel, Samuel, Szucs, Thomas, van der Stouwe, Jan, Voellmin, Gian, Zwimpfer, Leon, Aujesky, Drahomir, Fuhrer, Juerg, Roten, Laurent, Jung, Simon, Mattle, Heinrich, Adam, Luise, Aubert, Carole Elodie, Feller, Martin, Schneider, Claudio, Loewe, Axel, Flückiger, Tanja, Groen, Cindy, Schwab, Nathalie, Beynon, Christopher, Dillier, Roger, Eberli, Franz, Fontana, Simone, Franzini, Christine, Juchli, Isabel, Liedtke, Claudia, Nadler, Jacqueline, Obst, Thayze, Schneider, Xiaoye, Studerus, Katrin, Weishaupt, Dominik, Kuest, Silke, Scheuch, Karin, Hischier, Denise, Bonetti, Nicole, Bello, Corina, Isberg, Henriette, Grau, Alexandra, Villinger, Jonas, Papaux, Mary-Monica, Baumgartner, Philipp, Filipovic, Mark, Frick, Marcel, Anesini, Adriana, Camporini, Cristina, Conte, Giulio, Caputo, Maria Luce, Regoli, Francois, Moccetti, Tiziano, Brenner, Roman, Altmann, David, Forrer, Manuela, Gemperle, Michaela, Firmann, Mathieu, Foucras, Sandrine, Berte, Benjamin, Kaeppeli, Andrea, Mehmann, Brigitta, Pfeiffer, Markus, Russi, Ian, Schmidt, Kai, Weberndoerfer, Vanessa, Young, Mabelle, Zbinden, Melanie, Vicari, Luisa, Frangi, Jane, Terrot, Tatiana, Gallet, Hervé, Guillermet, Elise, Lazeyras, Francois, Lovblad, Karl-Olof, Perret, Patrick, Teres, Cheryl, Lauriers, Nathalie, Méan, Marie, Salzmann, Sandrine, Arenja, Nisha, Grêt, Andrea, Vitelli, Sandra, Gallino, Augusto, Schoenenberger-Berzins, Renate, Witassek, Fabienne, Radue, Ernst-Wilhelm, Benkert, Pascal, Fabbro, Thomas, Simon, Patrick, Schmid, Ramun, Conen, David, Rodondi, Nicolas, Müller, Andreas, Beer, Juerg H., Ammann, Peter, Moschovitis, Giorgio, Auricchio, Angelo, Hayoz, Daniel, Kobza, Richard, Shah, Dipen, Novak, Jan, Schläpfer, Jürg, Di Valentino, Marcello, Aeschbacher, Stefanie, Blum, Steffen, Meyre, Pascal, Sticherling, Christian, Bonati, Leo H., Ehret, Georg, Moutzouri, Elisavet, Fischer, Urs, Monsch, Andreas U., Stippich, Christoph, Wuerfel, Jens, Sinnecker, Tim, Coslovsky, Michael, Schwenkglenks, Matthias, Kühne, Michael, and Osswald, Stefan

Published
2019
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16. Optimising prescribing in older adults with multimorbidity and polypharmacy in primary care (OPTICA): cluster randomised clinical trial

Author

Jungo, Katharina Tabea, primary, Ansorg, Anna-Katharina, additional, Floriani, Carmen, additional, Rozsnyai, Zsofia, additional, Schwab, Nathalie, additional, Meier, Rahel, additional, Valeri, Fabio, additional, Stalder, Odile, additional, Limacher, Andreas, additional, Schneider, Claudio, additional, Bagattini, Michael, additional, Trelle, Sven, additional, Spruit, Marco, additional, Schwenkglenks, Matthias, additional, Rodondi, Nicolas, additional, and Streit, Sven, additional

Published
2023
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21. Optimising prescribing in older adults with multimorbidity and polypharmacy in primary care (OPTICA): cluster randomised clinical trial

Author

Jungo, Katharina Tabea; https://orcid.org/0000-0002-1782-1345, Ansorg, Anna-Katharina, Floriani, Carmen, Rozsnyai, Zsofia, Schwab, Nathalie, Meier, Rahel; https://orcid.org/0000-0001-8159-9753, Valeri, Fabio; https://orcid.org/0000-0002-2481-9737, Stalder, Odile, Limacher, Andreas; https://orcid.org/0000-0002-9094-9476, Schneider, Claudio, Bagattini, Michael, Trelle, Sven, Spruit, Marco, Schwenkglenks, Matthias; https://orcid.org/0000-0001-7217-1173, Rodondi, Nicolas; https://orcid.org/0000-0001-9083-6896, Streit, Sven; https://orcid.org/0000-0002-3813-4616, Jungo, Katharina Tabea; https://orcid.org/0000-0002-1782-1345, Ansorg, Anna-Katharina, Floriani, Carmen, Rozsnyai, Zsofia, Schwab, Nathalie, Meier, Rahel; https://orcid.org/0000-0001-8159-9753, Valeri, Fabio; https://orcid.org/0000-0002-2481-9737, Stalder, Odile, Limacher, Andreas; https://orcid.org/0000-0002-9094-9476, Schneider, Claudio, Bagattini, Michael, Trelle, Sven, Spruit, Marco, Schwenkglenks, Matthias; https://orcid.org/0000-0001-7217-1173, Rodondi, Nicolas; https://orcid.org/0000-0001-9083-6896, and Streit, Sven; https://orcid.org/0000-0002-3813-4616

Abstract

OBJECTIVE To study the effects of a primary care medication review intervention centred around an electronic clinical decision support system (eCDSS) on appropriateness of medication and the number of prescribing omissions in older adults with multimorbidity and polypharmacy compared with a discussion about medication in line with usual care. DESIGN Cluster randomised clinical trial. SETTING Swiss primary care, between December 2018 and February 2021. PARTICIPANTS Eligible patients were ≥65 years of age with three or more chronic conditions and five or more long term medications. INTERVENTION The intervention to optimise pharmacotherapy centred around an eCDSS was conducted by general practitioners, followed by shared decision making between general practitioners and patients, and was compared with a discussion about medication in line with usual care between patients and general practitioners. MAIN OUTCOME MEASURES Primary outcomes were improvement in the Medication Appropriateness Index (MAI) and the Assessment of Underutilisation (AOU) at 12 months. Secondary outcomes included number of medications, falls, fractures, and quality of life. RESULTS In 43 general practitioner clusters, 323 patients were recruited (median age 77 (interquartile range 73-83) years; 45% (n=146) women). Twenty one general practitioners with 160 patients were assigned to the intervention group and 22 general practitioners with 163 patients to the control group. On average, one recommendation to stop or start a medication was reported to be implemented per patient. At 12 months, the results of the intention-to-treat analysis of the improvement in appropriateness of medication (odds ratio 1.05, 95% confidence interval 0.59 to 1.87) and the number of prescribing omissions (0.90, 0.41 to 1.96) were inconclusive. The same was the case for the per protocol analysis. No clear evidence was found for a difference in safety outcomes at the 12 month follow-up, but fewer safety events were reported in

Published
2023

25. Optimizing Prescribing in Older Adults with Multimorbidity and Polypharmacy in Primary Care: A Cluster Randomized Clinical Trial (OPTICA Trial)

Author

Jungo, Katharina Tabea, primary, Ansorg, Anna-Katharina, additional, Floriani, Carmen, additional, Rozsnyai, Zsofia, additional, Schwab, Nathalie, additional, Meier, Rahel, additional, Valeri, Fabio, additional, Stalder, Odile, additional, Limacher, Andreas, additional, Schneider, Claudio, additional, Bagattini, Michael, additional, Trelle, Sven, additional, Spruit, Marco, additional, Schwenkglenks, Matthias, additional, Rodondi, Nicolas, additional, and Streit, Sven, additional

Published
2022
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28. Comparison of 6 Mortality Risk Scores for Prediction of 1-Year Mortality Risk in Older Adults With Multimorbidity

Author

Schneider, Claudio, Aubert, Carole E, Del Giovane, Cinzia, Donzé, Jacques D, Gastens, Viktoria, Bauer, Douglas C, Blum, Manuel R, Dalleur, Olivia, Henrard, Séverine, Knol, Wilma, O'Mahony, Denis, Curtin, Denis, Lee, Sei J, Aujesky, Drahomir, Rodondi, Nicolas, Feller, Martin, UCL - SSS/LDRI - Louvain Drug Research Institute, UCL - SSS/IRSS - Institut de recherche santé et société, and UCL - (SLuc) Département de pharmacie

Subjects
Male, Multimorbidity, 610 Medicine & health, General Medicine, Hospitalization, Risk Factors, 360 Social problems & social services, Chronic Disease, Humans, Female, Prospective Studies, Aged
Abstract

Importance The most appropriate therapy for older adults with multimorbidity may depend on life expectancy (ie, mortality risk), and several scores have been developed to predict 1-year mortality risk. However, often, these mortality risk scores have not been externally validated in large sample sizes, and a head-to-head comparison in a prospective contemporary cohort is lacking. Objective To prospectively compare the performance of 6 scores in predicting the 1-year mortality risk in hospitalized older adults with multimorbidity. Design, Setting, and Participants This prognostic study analyzed data of participants in the OPERAM (Optimising Therapy to Prevent Avoidable Hospital Admissions in Multimorbid Older People) trial, which was conducted between December 1, 2016, and October 31, 2018, in surgical and nonsurgical departments of 4 university-based hospitals in Louvain, Belgium; Utrecht, the Netherlands; Cork, Republic of Ireland; and Bern, Switzerland. Eligible participants in the OPERAM trial had multimorbidity (≥3 coexisting chronic diseases), were aged 70 years or older, had polypharmacy (≥5 long-term medications), and were admitted to a participating ward. Data were analyzed from April 1 to September 30, 2020. Main Outcomes and Measures The outcome of interest was any-cause death occurring in the first year of inclusion in the OPERAM trial. Overall performance, discrimination, and calibration of the following 6 scores were assessed: Burden of Illness Score for Elderly Persons, CARING (Cancer, Admissions ≥2, Residence in a nursing home, Intensive care unit admit with multiorgan failure, ≥2 Noncancer hospice guidelines) Criteria, Charlson Comorbidity Index, Gagné Index, Levine Index, and Walter Index. These scores were assessed using the following measures: Brier score (0 indicates perfect overall performance and 0.25 indicates a noninformative model); C-statistic and 95% CI; Hosmer-Lemeshow goodness-of-fit test and calibration plots; and sensitivity, specificity, and positive and negative predictive values. Results The 1879 patients in the study had a median (IQR) age of 79 (74-84) years and 835 were women (44.4%). The median (IQR) number of chronic diseases was 11 (8-16). Within 1 year, 375 participants (20.0%) died. Brier scores ranged from 0.16 (Gagné Index) to 0.24 (Burden of Illness Score for Elderly Persons). C-statistic values ranged from 0.62 (95% CI, 0.59-0.65) for Charlson Comorbidity Index to 0.69 (95% CI, 0.66-0.72) for the Walter Index. Calibration was good for the Gagné Index and moderate for other mortality risk scores. Conclusions and Relevance Results of this prognostic study suggest that all 6 of the 1-year mortality risk scores examined had moderate prognostic performance, discriminatory power, and calibration in a large cohort of hospitalized older adults with multimorbidity. Overall, none of these mortality risk scores outperformed the others, and thus none could be recommended for use in daily clinical practice.

Published
2022
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29. Comparison of 6 Mortality Risk Scores for Prediction of 1-Year Mortality Risk in Older Adults With Multimorbidity

Author

Schneider, Claudio, primary, Aubert, Carole E., additional, Del Giovane, Cinzia, additional, Donzé, Jacques D., additional, Gastens, Viktoria, additional, Bauer, Douglas C., additional, Blum, Manuel R., additional, Dalleur, Olivia, additional, Henrard, Séverine, additional, Knol, Wilma, additional, O’Mahony, Denis, additional, Curtin, Denis, additional, Lee, Sei J., additional, Aujesky, Drahomir, additional, Rodondi, Nicolas, additional, and Feller, Martin, additional

Published
2022
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30. HOSPITAL Score and LACE Index to Predict Mortality in Multimorbid Older Patients

Author

UCL - SSS/LDRI - Louvain Drug Research Institute, UCL - (SLuc) Département de pharmacie, Aubert, Carole E., Rodondi, Nicolas, Terman, Samuel W., Feller, Martin, Schneider, Claudio, Oberle, Jolanda, Dalleur, Olivia, Knol, Wilma, O’Mahony, Denis, Aujesky, Drahomir, Donzé, Jacques, UCL - SSS/LDRI - Louvain Drug Research Institute, UCL - (SLuc) Département de pharmacie, Aubert, Carole E., Rodondi, Nicolas, Terman, Samuel W., Feller, Martin, Schneider, Claudio, Oberle, Jolanda, Dalleur, Olivia, Knol, Wilma, O’Mahony, Denis, Aujesky, Drahomir, and Donzé, Jacques

Abstract

Background Estimating life expectancy of older adults informs whether to pursue future investigation and therapy. Several models to predict mortality have been developed but often require data not immediately available during routine clinical care. The HOSPITAL score and the LACE index were previously validated to predict 30-day readmissions but may also help to assess mortality risk. We assessed their performance to predict 1-year and 30-day mortality in hospitalized older multimorbid patients with polypharmacy. Methods We calculated the HOSPITAL score and LACE index in patients from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly) trial (patients aged ≥ 70 years with multimorbidity and polypharmacy, admitted to hospital across four European countries in 2016–2018). Our primary and secondary outcomes were 1-year and 30-day mortality. We assessed the overall accuracy (scaled Brier score, the lower the better), calibration (predicted/observed proportions), and discrimination (C-statistic) of the models. Results Within 1 year, 375/1879 (20.0%) patients had died, including 94 deaths within 30 days. The overall accuracy was good and similar for both models (scaled Brier score 0.01–0.08). The C-statistics were identical for both models (0.69 for 1-year mortality, p = 0.81; 0.66 for 30-day mortality, p = 0.94). Calibration showed well-matching predicted/observed proportions. Conclusion The HOSPITAL score and LACE index showed similar performance to predict 1-year and 30-day mortality in older multimorbid patients with polypharmacy. Their overall accuracy was good, their discrimination low to moderate, and the calibration good. These simple tools may help predict older multimorbid patients’ mortality after hospitalization, which may inform post-hospitalization intensity of care.

Published
2022

31. Comparison of 6 Mortality Risk Scores for Prediction of 1-Year Mortality Risk in Older Adults With Multimorbidity

Author

UCL - SSS/LDRI - Louvain Drug Research Institute, UCL - SSS/IRSS - Institut de recherche santé et société, UCL - (SLuc) Département de pharmacie, Schneider, Claudio, Aubert, Carole E., Del Giovane, Cinzia, Donzé, Jacques D., Gastens, Viktoria, Bauer, Douglas C., Blum, Manuel R., Dalleur, Olivia, Henrard, Séverine, Knol, Wilma, O’Mahony, Denis, Curtin, Denis, Lee, Sei J., Aujesky, Drahomir, Rodondi, Nicolas, Feller, Martin, UCL - SSS/LDRI - Louvain Drug Research Institute, UCL - SSS/IRSS - Institut de recherche santé et société, UCL - (SLuc) Département de pharmacie, Schneider, Claudio, Aubert, Carole E., Del Giovane, Cinzia, Donzé, Jacques D., Gastens, Viktoria, Bauer, Douglas C., Blum, Manuel R., Dalleur, Olivia, Henrard, Séverine, Knol, Wilma, O’Mahony, Denis, Curtin, Denis, Lee, Sei J., Aujesky, Drahomir, Rodondi, Nicolas, and Feller, Martin

Abstract

Importance: The most appropriate therapy for older adults with multimorbidity may depend on life expectancy (ie, mortality risk), and several scores have been developed to predict 1-year mortality risk. However, often, these mortality risk scores have not been externally validated in large sample sizes, and a head-to-head comparison in a prospective contemporary cohort is lacking. Objective: To prospectively compare the performance of 6 scores in predicting the 1-year mortality risk in hospitalized older adults with multimorbidity. Design, setting, and participants: This prognostic study analyzed data of participants in the OPERAM (Optimising Therapy to Prevent Avoidable Hospital Admissions in Multimorbid Older People) trial, which was conducted between December 1, 2016, and October 31, 2018, in surgical and nonsurgical departments of 4 university-based hospitals in Louvain, Belgium; Utrecht, the Netherlands; Cork, Republic of Ireland; and Bern, Switzerland. Eligible participants in the OPERAM trial had multimorbidity (≥3 coexisting chronic diseases), were aged 70 years or older, had polypharmacy (≥5 long-term medications), and were admitted to a participating ward. Data were analyzed from April 1 to September 30, 2020. Main outcomes and measures: The outcome of interest was any-cause death occurring in the first year of inclusion in the OPERAM trial. Overall performance, discrimination, and calibration of the following 6 scores were assessed: Burden of Illness Score for Elderly Persons, CARING (Cancer, Admissions ≥2, Residence in a nursing home, Intensive care unit admit with multiorgan failure, ≥2 Noncancer hospice guidelines) Criteria, Charlson Comorbidity Index, Gagné Index, Levine Index, and Walter Index. These scores were assessed using the following measures: Brier score (0 indicates perfect overall performance and 0.25 indicates a noninformative model); C-statistic and 95% CI; Hosmer-Lemeshow goodness-of-fit test and calibration plots; and sensitivity, speci

Published
2022

32. Comparison of 6 Mortality Risk Scores for Prediction of 1-Year Mortality Risk in Older Adults with Multimorbidity

Author

MS Geriatrie, Circulatory Health, Schneider, Claudio, Aubert, Carole E., Del Giovane, Cinzia, Donzé, Jacques D., Gastens, Viktoria, Bauer, Douglas C., Blum, Manuel R., Dalleur, Olivia, Henrard, Séverine, Knol, Wilma, O'Mahony, Denis, Curtin, Denis, Lee, Sei J., Aujesky, Drahomir, Rodondi, Nicolas, Feller, Martin, MS Geriatrie, Circulatory Health, Schneider, Claudio, Aubert, Carole E., Del Giovane, Cinzia, Donzé, Jacques D., Gastens, Viktoria, Bauer, Douglas C., Blum, Manuel R., Dalleur, Olivia, Henrard, Séverine, Knol, Wilma, O'Mahony, Denis, Curtin, Denis, Lee, Sei J., Aujesky, Drahomir, Rodondi, Nicolas, and Feller, Martin

Published
2022

33. HOSPITAL Score and LACE Index to Predict Mortality in Multimorbid Older Patients

Author

MS Geriatrie, Circulatory Health, Aubert, Carole E, Rodondi, Nicolas, Terman, Samuel W, Feller, Martin, Schneider, Claudio, Oberle, Jolanda, Dalleur, Olivia, Knol, Wilma, O'Mahony, Denis, Aujesky, Drahomir, Donzé, Jacques, MS Geriatrie, Circulatory Health, Aubert, Carole E, Rodondi, Nicolas, Terman, Samuel W, Feller, Martin, Schneider, Claudio, Oberle, Jolanda, Dalleur, Olivia, Knol, Wilma, O'Mahony, Denis, Aujesky, Drahomir, and Donzé, Jacques

Published
2022

38. A Pin1/Mutant p53 Axis Promotes Aggressiveness in Breast Cancer

Author

Girardini, Javier E., Napoli, Marco, Piazza, Silvano, Rustighi, Alessandra, Marotta, Carolina, Radaelli, Enrico, Capaci, Valeria, Jordan, Lee, Quinlan, Phil, Thompson, Alastair, Mano, Miguel, Rosato, Antonio, Crook, Tim, Scanziani, Eugenio, Means, Anthony R., Lozano, Guillermina, Schneider, Claudio, and Del Sal, Giannino

Published
2011
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39. Effects of Age and Heart Failure on Human Cardiac Stem Cell Function

Author

Cesselli, Daniela, Beltrami, Antonio P., D'Aurizio, Federica, Marcon, Patrizia, Bergamin, Natascha, Toffoletto, Barbara, Pandolfi, Maura, Puppato, Elisa, Marino, Laura, Signore, Sergio, Livi, Ugolino, Verardo, Roberto, Piazza, Silvano, Marchionni, Luigi, Fiorini, Claudia, Schneider, Claudio, Hosoda, Toru, Rota, Marcello, Kajstura, Jan, Anversa, Piero, Beltrami, Carlo A., and Leri, Annarosa

Published
2011
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45. Expression of the tumor-expressed protein MageB2 enhances rRNA transcription

Author

Ladelfa, María Fátima, primary, Peche, Leticia Yamila, additional, Amato, Gastón Ezequiel, additional, Escalada, Micaela Carolina, additional, Zampieri, Stefania, additional, Pascucci, Franco Andrés, additional, Benevento, Andres Fernandez, additional, Do Porto, Dario Fernandez, additional, Dardis, Andrea, additional, Schneider, Claudio, additional, and Monte, Martin, additional

Published
2021
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46. Additional file 1 of Baseline characteristics and comparability of older multimorbid patients with polypharmacy and general practitioners participating in a randomized controlled primary care trial

Author

Jungo, Katharina Tabea, Meier, Rahel, Valeri, Fabio, Schwab, Nathalie, Schneider, Claudio, Reeve, Emily, Spruit, Marco, Schwenkglenks, Matthias, Rodondi, Nicolas, and Streit, Sven

Subjects
nervous system, musculoskeletal, neural, and ocular physiology, eye diseases
Abstract

Additional file 1: eAppendix 1. Information about the OPTICA trial and the FIRE project. eTable 1. Baseline characteristics of patients in the OPTICA trial compared to other multimorbid patients with polypharmacy in the FIRE database who also were patients of the general practitioners participating in the OPTICA trial. eTable 2. Baseline characteristics of Swiss general practitioners who participated in the Workforce-Study. eFigure 1. FIRE database, FIRE reference cohorts and OPTICA trial participants.

Published
2021
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48. A promoter-level mammalian expression atlas

Author

Forrest, Alistair R. R., Kawaji, Hideya, Rehli, Michael, Kenneth Baillie, J., de Hoon, Michiel J. L., Haberle, Vanja, Lassmann, Timo, Kulakovskiy, Ivan V., Lizio, Marina, Itoh, Masayoshi, Andersson, Robin, Mungall, Christopher J., Meehan, Terrence F., Schmeier, Sebastian, Bertin, Nicolas, Jørgensen, Mette, Dimont, Emmanuel, Arner, Erik, Schmidl, Christian, Schaefer, Ulf, Medvedeva, Yulia A., Plessy, Charles, Vitezic, Morana, Severin, Jessica, Semple, Colin A., Ishizu, Yuri, Young, Robert S., Francescatto, Margherita, Alam, Intikhab, Albanese, Davide, Altschuler, Gabriel M., Arakawa, Takahiro, Archer, John A. C., Arner, Peter, Babina, Magda, Rennie, Sarah, Balwierz, Piotr J., Beckhouse, Anthony G., Pradhan-Bhatt, Swati, Blake, Judith A., Blumenthal, Antje, Bodega, Beatrice, Bonetti, Alessandro, Briggs, James, Brombacher, Frank, Maxwell Burroughs, A., Califano, Andrea, Cannistraci, Carlo V., Carbajo, Daniel, Chen, Yun, Chierici, Marco, Ciani, Yari, Clevers, Hans C., Dalla, Emiliano, Davis, Carrie A., Detmar, Michael, Diehl, Alexander D., Dohi, Taeko, Drabløs, Finn, Edge, Albert S. B., Edinger, Matthias, Ekwall, Karl, Endoh, Mitsuhiro, Enomoto, Hideki, Fagiolini, Michela, Fairbairn, Lynsey, Fang, Hai, Farach-Carson, Mary C., Faulkner, Geoffrey J., Favorov, Alexander V., Fisher, Malcolm E., Frith, Martin C., Fujita, Rie, Fukuda, Shiro, Furlanello, Cesare, Furuno, Masaaki, Furusawa, Jun-ichi, Geijtenbeek, Teunis B., Gibson, Andrew P., Gingeras, Thomas, Goldowitz, Daniel, Gough, Julian, Guhl, Sven, Guler, Reto, Gustincich, Stefano, Ha, Thomas J., Hamaguchi, Masahide, Hara, Mitsuko, Harbers, Matthias, Harshbarger, Jayson, Hasegawa, Akira, Hasegawa, Yuki, Hashimoto, Takehiro, Herlyn, Meenhard, Hitchens, Kelly J., Ho Sui, Shannan J., Hofmann, Oliver M., Hoof, Ilka, Hori, Fumi, Huminiecki, Lukasz, Iida, Kei, Ikawa, Tomokatsu, Jankovic, Boris R., Jia, Hui, Joshi, Anagha, Jurman, Giuseppe, Kaczkowski, Bogumil, Kai, Chieko, Kaida, Kaoru, Kaiho, Ai, Kajiyama, Kazuhiro, Kanamori-Katayama, Mutsumi, Kasianov, Artem S., Kasukawa, Takeya, Katayama, Shintaro, Kato, Sachi, Kawaguchi, Shuji, Kawamoto, Hiroshi, Kawamura, Yuki I., Kawashima, Tsugumi, Kempfle, Judith S., Kenna, Tony J., Kere, Juha, Khachigian, Levon M., Kitamura, Toshio, Peter Klinken, S., Knox, Alan J., Kojima, Miki, Kojima, Soichi, Kondo, Naoto, Koseki, Haruhiko, Koyasu, Shigeo, Krampitz, Sarah, Kubosaki, Atsutaka, Kwon, Andrew T., Laros, Jeroen F. J., Lee, Weonju, Lennartsson, Andreas, Li, Kang, Lilje, Berit, Lipovich, Leonard, Mackay-sim, Alan, Manabe, Ri-ichiroh, Mar, Jessica C., Marchand, Benoit, Mathelier, Anthony, Mejhert, Niklas, Meynert, Alison, Mizuno, Yosuke, de Lima Morais, David A., Morikawa, Hiromasa, Morimoto, Mitsuru, Moro, Kazuyo, Motakis, Efthymios, Motohashi, Hozumi, Mummery, Christine L., Murata, Mitsuyoshi, Nagao-Sato, Sayaka, Nakachi, Yutaka, Nakahara, Fumio, Nakamura, Toshiyuki, Nakamura, Yukio, Nakazato, Kenichi, van Nimwegen, Erik, Ninomiya, Noriko, Nishiyori, Hiromi, Noma, Shohei, Nozaki, Tadasuke, Ogishima, Soichi, Ohkura, Naganari, Ohmiya, Hiroko, Ohno, Hiroshi, Ohshima, Mitsuhiro, Okada-Hatakeyama, Mariko, Okazaki, Yasushi, Orlando, Valerio, Ovchinnikov, Dmitry A., Pain, Arnab, Passier, Robert, Patrikakis, Margaret, Persson, Helena, Piazza, Silvano, Prendergast, James G. D., Rackham, Owen J. L., Ramilowski, Jordan A., Rashid, Mamoon, Ravasi, Timothy, Rizzu, Patrizia, Roncador, Marco, Roy, Sugata, Rye, Morten B., Saijyo, Eri, Sajantila, Antti, Saka, Akiko, Sakaguchi, Shimon, Sakai, Mizuho, Sato, Hiroki, Satoh, Hironori, Savvi, Suzana, Saxena, Alka, Schneider, Claudio, Schultes, Erik A., Schulze-Tanzil, Gundula G., Schwegmann, Anita, Sengstag, Thierry, Sheng, Guojun, Shimoji, Hisashi, Shimoni, Yishai, Shin, Jay W., Simon, Christophe, Sugiyama, Daisuke, Sugiyama, Takaaki, Suzuki, Masanori, Suzuki, Naoko, Swoboda, Rolf K., ’t Hoen, Peter A. C., Tagami, Michihira, Takahashi, Naoko, Takai, Jun, Tanaka, Hiroshi, Tatsukawa, Hideki, Tatum, Zuotian, Thompson, Mark, Toyoda, Hiroo, Toyoda, Tetsuro, Valen, Eivind, van de Wetering, Marc, van den Berg, Linda M., Verardo, Roberto, Vijayan, Dipti, Vorontsov, Ilya E., Wasserman, Wyeth W., Watanabe, Shoko, Wells, Christine A., Winteringham, Louise N., Wolvetang, Ernst, Wood, Emily J., Yamaguchi, Yoko, Yamamoto, Masayuki, Yoneda, Misako, Yonekura, Yohei, Yoshida, Shigehiro, Zabierowski, Susan E., Zhang, Peter G., Zhao, Xiaobei, Zucchelli, Silvia, Summers, Kim M., Suzuki, Harukazu, Daub, Carsten O., Kawai, Jun, Heutink, Peter, Hide, Winston, Freeman, Tom C., Lenhard, Boris, Bajic, Vladimir B., Taylor, Martin S., Makeev, Vsevolod J., Sandelin, Albin, Hume, David A., Carninci, Piero, and Hayashizaki, Yoshihide

Published
2014
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49. Insulin-like growth factor-binding protein 7 and risk of congestive heart failure hospitalization in patients with atrial fibrillation

Author

Blum, Steffen, primary, Aeschbacher, Stefanie, additional, Meyre, Pascal, additional, Kühne, Michael, additional, Rodondi, Nicolas, additional, Beer, Jürg H., additional, Ammann, Peter, additional, Moschovitis, Giorgio, additional, Bonati, Leo H., additional, Blum, Manuel R., additional, Kastner, Peter, additional, Baguley, Fiona, additional, Sticherling, Christian, additional, Osswald, Stefan, additional, Conen, David, additional, Auberson, Chloé, additional, Blum, Steffen, additional, Bonati, Leo, additional, Ceylan, Selinda, additional, Doerpfeld, Simone, additional, Eken, Ceylan, additional, Girod, Marc, additional, Hämmerle, Peter, additional, Krisai, Philipp, additional, Meyer-Zürn, Christine, additional, Monsch, Andreas U., additional, Müller, Christian, additional, Springer, Anne, additional, Szucs, Thomas, additional, Voellmin, Gian, additional, Zwimpfer, Leon, additional, Aujesky, Drahomir, additional, Fischer, Urs, additional, Fuhrer, Juerg, additional, Roten, Laurent, additional, Jung, Simon, additional, Mattle, Heinrich, additional, Adam, Luise, additional, Aubert, Carole Elodie, additional, Feller, Martin, additional, Loewe, Axel, additional, Moutzouri, Elisavet, additional, Schneider, Claudio, additional, Flückiger, Tanja, additional, Groen, Cindy, additional, Ehrsam, Lukas, additional, Hellrigl, Sven, additional, Nuoffer, Alexandra, additional, Rakovic, Damiana, additional, Schwab, Nathalie, additional, Wenger, Rylana, additional, Beynon, Christopher, additional, Dillier, Roger, additional, Deubelbeiss, Michèle, additional, Eberli, Franz, additional, Franzini, Christine, additional, Juchli, Isabel, additional, Liedtke, Claudia, additional, Nadler, Jacqueline, additional, Obst, Thayze, additional, Roth, Jasmin, additional, Schlomowitsch, Fiona, additional, Schneider, Xiaoye, additional, Studerus, Katrin, additional, Tynan, Noreen, additional, Weishaupt, Dominik, additional, Müller, Andreas, additional, Fontana, Simone, additional, Kuest, Silke, additional, Scheuch, Karin, additional, Hischier, Denise, additional, Bonetti, Nicole, additional, Grau, Alexandra, additional, Villinger, Jonas, additional, Laube, Eva, additional, Baumgartner, Philipp, additional, Filipovic, Mark, additional, Frick, Marcel, additional, Montrasio, Giulia, additional, Leuenberger, Stefanie, additional, Rutz, Franziska, additional, Beer, Jürg-Hans, additional, Auricchio, Angelo, additional, Anesini, Adriana, additional, Camporini, Cristina, additional, Conte, Giulio, additional, Caputo, Maria Luce, additional, Regoli, Francois, additional, Moccetti, Tiziano, additional, Brenner, Roman, additional, Altmann, David, additional, Gemperle, Michaela, additional, Firmann, Mathieu, additional, Foucras, Sandrine, additional, Rime, Martine, additional, Hayoz, Daniel, additional, Berte, Benjamin, additional, Justi, Virgina, additional, Kellner-Weldon, Frauke, additional, Mehmann, Brigitta, additional, Meier, Sonja, additional, Roth, Myriam, additional, Ruckli-Kaeppeli, Andrea, additional, Russi, Ian, additional, Schmidt, Kai, additional, Young, Mabelle, additional, Zbinden, Melanie, additional, Kobza, Richard, additional, Frangi-Kultalahti, Jane, additional, Pin, Anica, additional, Vicari, Luisa, additional, Ehret, Georg, additional, Gallet, Hervé, additional, Guillermet, Elise, additional, Lazeyras, Francois, additional, Lovblad, Karl-Olof, additional, Perret, Patrick, additional, Tavel, Philippe, additional, Teres, Cheryl, additional, Shah, Dipen, additional, Lauriers, Nathalie, additional, Méan, Marie, additional, Salzmann, Sandrine, additional, Schläpfer, Jürg, additional, Grêt, Andrea, additional, Novak, Jan, additional, Vitelli, Sandra, additional, Stephan, Frank-Peter, additional, Gallino, Augusto, additional, Di Valentino, Marcello, additional, Witassek, Fabienne, additional, Schwenkglenks, Matthias, additional, Würfel, Jens, additional, Altermatt, Anna, additional, Amann, Michael, additional, Huber, Petra, additional, Ruberte, Esther, additional, Sinnecker, Tim, additional, Zuber, Vanessa, additional, Coslovsky, Michael, additional, Benkert, Pascal, additional, Dutilh, Gilles, additional, Markovic, Milica, additional, Simon, Patrick, additional, and Schmid, Ramun, additional

Published
2021
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50. Functional annotation of human long noncoding RNAs via molecular phenotyping

Author

Ramilowski, Jordan A., Yip, Chi Wai, Agrawal, Saumya, Chang, Jen-Chien, Ciani, Yari, Kulakovskiy, Ivan V., Mendez, Mickaël, Ooi, Jasmine Li Ching, Ouyang, John F., Parkinson, Nicholas J., Petri, Andreas, Roos, Leonie, Severin, Jessica, Yasuzawa, Kayoko, Abugessaisa, Imad, Akalin, Altuna, Antonov, Ivan V., Arner, Erik, Bonetti, Alessandro, Bono, Hidemasa, Borsari, Beatrice, Brombacher, Frank, Cameron, Christopher J.F., Cannistraci, Carlo V., Cardenas, Ryan, Cardon, Melissa, Chang, Howard, Dostie, Josée, Ducoli, Luca, Favorov, Alexander V., Fort, Alexandre, Garrido, Diego, Gil, Noa, Gimenez, Juliette, Guler, Reto, Handoko, Lusy, Harshbarger, Jayson, Hasegawa, Akira, Hasegawa, Yuki, Hashimoto, Kosuke, Hayatsu, Norihito, Heutink, Peter, Hirose, Tetsuro, Imada, Eddie L., Itoh, Masayoshi, Kaczkowski, Bogumil, Kanhere, Aditi S., Kawabata, Emily, Kawaji, Hideya, Kawashima, Tsugumi, Kelly, S. Thomas, Kojima, Miki, Kondo, Naoto, Koseki, Haruhiko, Kouno, Tsukasa, Kratz, Anton, Kurowska-Stolarska, Mariola S., Kwon, Andrew Tae Jun, Leek, Jeffrey T., Lennartsson, Andreas, Lizio, Marina, López-Redondo, Fernando, Luginbühl, Joachim, Maeda, Shiori, Makeev, Vsevolod, Marchionni, Luigi, Medvedeva, Yulia A., Minoda, Aki, Müller, Ferenc, Muñoz-Aguirre, Manuel, Murata, Mitsuyoshi, Nishiyori, Hiromi, Nitta, Kazuhiro R., Noguchi, Shuhei, Noro, Yukihiko, Nurtdinov, Ramil N., Okazaki, Yasushi, Orlando, Valerio, Paquette, Denis, Parr, Callum J.C., Rackham, Owen J.L., Rizzu, Patrizia, Sánchez Martinez, Diego Fernando, Sandelin, Albin, Sanjana, Pillay, Semple, Colin A.M., Shibayama, Youtaro, Sivaraman, Divya M., Szumowski, Suzannah C., Tagami, Michihira, Taylor, Martin S., Terao, Chikashi, Thodberg, Malte, Thongjuea, Supat, Tripathi, Vidisha, Ulitsky, Igor, Verardo, Roberto, Vorontsov, Ilya E., Yamamoto, Chinatsu, Baillie, J. Kenneth, Forrest, Alistair R.R., Guigó, Roderic, Hoffman, Michael, Hon, Chungchau, Kasukawa, Takeya, Kauppinen, Sakari, Kere, Jura, Lenhard, Boris, Schneider, Claudio, Suzuki, Harukazu, Yagi, Ken, de Hoon, Michiel J.L., Shin, Jay W., and Carninci, Piero

Abstract

Long noncoding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes, and yet, their functions remain largely unknown. As part of the FANTOM6 project, we systematically knocked down the expression of 285 lncRNAs in human dermal fibroblasts and quantified cellular growth, morphological changes, and transcriptomic responses using Capped Analysis of Gene Expression (CAGE). Antisense oligonucleotides targeting the same lncRNAs exhibited global concordance, and the molecular phenotype, measured by CAGE, recapitulated the observed cellular phenotypes while providing additional insights on the affected genes and pathways. Here, we disseminate the largest-to-date lncRNA knockdown data set with molecular phenotyping (over 1000 CAGE deep-sequencing libraries) for further exploration and highlight functional roles for ZNF213-AS1 and lnc-KHDC3L-2., Genome Research, 30 (7), ISSN:1088-9051, ISSN:1549-5469

Published
2020

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