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1. Application of anti-inflammatory treatment in two different ovine Acute Respiratory Distress Syndrome injury models: a preclinical randomized intervention study

Author

Wildi, Karin, Livingstone, Samantha, Ainola, Carmen, Colombo, Sebastiano Maria, Heinsar, Silver, Sato, Noriko, Sato, Kei, Bouquet, Mahé, Wilson, Emily, Abbate, Gabriella, Passmore, Margaret, Hyslop, Kieran, Liu, Keibun, Wang, Xiaomeng, Palmieri, Chiara, See Hoe, Louise E., Jung, Jae-Seung, Ki, Katrina, Mueller, Christian, Laffey, John, Pelosi, Paolo, Li Bassi, Gianluigi, Suen, Jacky, and Fraser, John

Published
2023
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2. Combining glucose and high-sensitivity cardiac troponin in the early diagnosis of acute myocardial infarction

Author

Yufera-Sanchez, Ana, Lopez-Ayala, Pedro, Nestelberger, Thomas, Wildi, Karin, Boeddinghaus, Jasper, Koechlin, Luca, Rubini Gimenez, Maria, Sakiz, Hüseyin, Bima, Paolo, Miro, Oscar, Martín-Sánchez, F. Javier, Christ, Michael, Keller, Dagmar I., Gualandro, Danielle M., Kawecki, Damian, Rentsch, Katharina, Buser, Andreas, and Mueller, Christian

Published
2023
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3. Effect of flow change on brain injury during an experimental model of differential hypoxaemia in cardiogenic shock supported by extracorporeal membrane oxygenation

Author

Rozencwajg, Sacha, Heinsar, Silver, Wildi, Karin, Jung, Jae‐Seung, Colombo, Sebastiano Maria, Palmieri, Chiara, Sato, Kei, Ainola, Carmen, Wang, Xiaomeng, Abbate, Gabriella, Sato, Noriko, Dyer, Wayne B., Livingstone, Samantha, Helms, Leticia, Bartnikowski, Nicole, Bouquet, Mahe, Passmore, Margaret R., Hyslop, Kieran, Vidal, Bruno, Reid, Janice D., McGuire, Daniel, Wilson, Emily S., Rätsep, Indrek, Lorusso, Roberto, Schmidt, Matthieu, Suen, Jacky Y., Bassi, Gianluigi Li, and Fraser, John F.

Published
2023
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5. Chest Pain in Cancer Patients: Prevalence of Myocardial Infarction and Performance of High-Sensitivity Cardiac Troponins

Author

Bima, Paolo, Lopez-Ayala, Pedro, Koechlin, Luca, Boeddinghaus, Jasper, Nestelberger, Thomas, Okamura, Bernhard, Muench-Gerber, Tamar S., Sanzone, Alessandra, Skolozubova, Daria, Djurdjevic, David, Rubini Gimenez, Maria, Wildi, Karin, Miro, Oscar, Martínez-Nadal, Gemma, Martin-Sanchez, Francisco J., Christ, Michael, Keller, Dagmar, Lindahl, Bertil, Giannitsis, Evangelos, and Mueller, Christian

Published
2023
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7. Cinética temprana de troponina en pacientes con sospecha de infarto agudo de miocardio

Author

Rubini Giménez, María, Wildi, Karin, Wussler, Desiree, Koechlin, Luca, Boeddinghaus, Jasper, Nestelberger, Thomas, Badertscher, Patrick, Sedlmayer, Raphael, Puelacher, Christian, Zimmermann, Tobias, du Fay de Lavallaz, Jeanne, Lopez-Ayala, Pedro, Leu, Kathrin, Rentsch, Katharina, Miró, Òscar, López, Beatriz, Martín-Sánchez, F. Javier, Bustamante, José, Kawecki, Damian, Parenica, Jiri, Lohrmann, Jens, Kloos, Wanda, Buser, Andreas, Keller, Dagmar I., Reichlin, Tobias, Twerenbold, Raphael, and Mueller, Christian

Published
2021
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8. Association between self-reported functional capacity and major adverse cardiac events in patients at elevated risk undergoing noncardiac surgery: a prospective diagnostic cohort study

Author

Gueckel, Johanna, Strebel, Ivo, Liffert, Marcel, Wolff, Thomas, EdinMujagic, Guerke, Lorenz, Hammerer-Lercher, Angelika, Rentsch, Katharina, Boeddinghaus, Jasper, Nestelberger, Thomas, Wildi, Karin, Zimmermann, Tobias, Prepoudis, Alexandra, Lampart, Andreas, Osswald, Stefan, Seeberger, Esther, Koechlin, Luca, Buser, Andreas, Rikli, Daniel, Lurati Buse, Giovanna A.L., Puelacher, Christian, Gualandro, Danielle Menosi, Genini, Alessandro S., Hidvegi, Reka, Bolliger, Daniel, Arslani, Ketina, Steiner, Luzius A., Kindler, Christoph, and Mueller, Christian

Published
2021
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9. An appraisal of lung computer tomography in very early anti-inflammatory treatment of two different ovine ARDS phenotypes

Author

Wildi, Karin, primary, Colombo, Sebastiano Maria, additional, McGuire, Daniel, additional, Ainola, Carmen, additional, Heinsar, Silver, additional, Sato, Noriko, additional, Sato, Kei, additional, Liu, Keibun, additional, Bouquet, Mahé, additional, Wilson, Emily, additional, Passmore, Margaret, additional, Hyslop, Kieran, additional, Livingstone, Samantha, additional, Di Feliciantonio, Marianna, additional, Strugnell, Wendy, additional, Palmieri, Chiara, additional, Suen, Jacky, additional, Li Bassi, Gianluigi, additional, and Fraser, John, additional

Published
2024
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10. An innovative ovine model of severe cardiopulmonary failure supported by veno-arterial extracorporeal membrane oxygenation

Author

Heinsar, Silver, Jung, Jae-Seung, Colombo, Sebastiano Maria, Rozencwajg, Sacha, Wildi, Karin, Sato, Kei, Ainola, Carmen, Wang, Xiaomeng, Abbate, Gabriella, Sato, Noriko, Dyer, Wayne Bruce, Livingstone, Samantha Annie, Pimenta, Leticia Pretti, Bartnikowski, Nicole, Bouquet, Mahe Jeannine Patricia, Passmore, Margaret, Vidal, Bruno, Palmieri, Chiara, Reid, Janice D., Haqqani, Haris M., McGuire, Daniel, Wilson, Emily Susan, Rätsep, Indrek, Lorusso, Roberto, Suen, Jacky Y., Bassi, Gianluigi Li, and Fraser, John F.

Published
2021
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11. A clinically relevant sheep model of orthotopic heart transplantation 24 h after donor brainstem death

Author

See Hoe, Louise E., Wildi, Karin, Obonyo, Nchafatso G., Bartnikowski, Nicole, McDonald, Charles, Sato, Kei, Heinsar, Silver, Engkilde-Pedersen, Sanne, Diab, Sara, Passmore, Margaret R., Wells, Matthew A., Boon, Ai-Ching, Esguerra, Arlanna, Platts, David G., James, Lynnette, Bouquet, Mahe, Hyslop, Kieran, Shuker, Tristan, Ainola, Carmen, Colombo, Sebastiano M., Wilson, Emily S., Millar, Jonathan E., Malfertheiner, Maximillian V., Reid, Janice D., O’Neill, Hollier, Livingstone, Samantha, Abbate, Gabriella, Sato, Noriko, He, Ting, von Bahr, Viktor, Rozencwajg, Sacha, Byrne, Liam, Pimenta, Leticia P., Marshall, Lachlan, Nair, Lawrie, Tung, John-Paul, Chan, Jonathan, Haqqani, Haris, Molenaar, Peter, Li Bassi, Gianluigi, Suen, Jacky Y., McGiffin, David C., and Fraser, John F.

Published
2021
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14. Predicting Major Adverse Events in Patients With Acute Myocardial Infarction

Author

Hafner, Benjamin, Flores, Dayana, Meissner, Kathrin, Kulangara, Caroline, Freese, Michael, Osswald, Stefan, Stelzig, Claudia, Bingisser, Roland, Fuenzalida Inostroza, Carolina Isabel, Rodríguez Adrada, Esther, Nowalany-Kozielska, Ewa, Kawecki, Damian, Parenica, Jiri, Ganovská, Eva, Lohrmann, Jens, Amrein, Melissa, Steude, Jana, Buser, Andreas, Grimm, Karin, Hartmann, Beate, Morawiec, Beata, Rentsch, Katharina, von Eckardstein, Arnold, Biskup, Ewalina, Campodarve, Isabel, Gea, Joachim, Nestelberger, Thomas, Boeddinghaus, Jasper, Wussler, Desiree, Twerenbold, Raphael, Badertscher, Patrick, Wildi, Karin, Miró, Òscar, López, Beatriz, Martin-Sanchez, F. Javier, Muzyk, Piotr, Koechlin, Luca, Baumgartner, Benjamin, Meier, Mario, Troester, Valentina, Rubini Giménez, Maria, Puelacher, Christian, du Fay de Lavallaz, Jeanne, Walter, Joan, Kozhuharov, Nikola, Zimmermann, Tobias, Gualandro, Danielle M., Michou, Eleni, Potlukova, Eliska, Geigy, Nicolas, Keller, Dagmar I., Reichlin, Tobias, and Mueller, Christian

Published
2019
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15. Outcome of Applying the ESC 0/1-hour Algorithm in Patients With Suspected Myocardial Infarction

Author

Twerenbold, Raphael, Costabel, Juan Pablo, Nestelberger, Thomas, Campos, Roberto, Wussler, Desiree, Arbucci, Rosina, Cortes, Marcia, Boeddinghaus, Jasper, Baumgartner, Benjamin, Nickel, Christian H., Bingisser, Roland, Badertscher, Patrick, Puelacher, Christian, du Fay de Lavallaz, Jeanne, Wildi, Karin, Rubini Giménez, Maria, Walter, Joan, Meier, Mario, Hafner, Benjamin, Lopez Ayala, Pedro, Lohrmann, Jens, Troester, Valentina, Koechlin, Luca, Zimmermann, Tobias, Gualandro, Danielle M., Reichlin, Tobias, Lambardi, Florencia, Resi, Silvana, Alves de Lima, Alberto, Trivi, Marcelo, and Mueller, Christian

Published
2019
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16. External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study

Author

Lopez-Ayala, Pedro, Boeddinghaus, Jasper, Nestelberger, Thomas, Koechlin, Luca, Zimmermann, Tobias, Bima, Paolo, Glaeser, Jonas, Spagnuolo, Carlos C, Champetier, Arnaud, Miro, Oscar, Martin-Sanchez, Francisco Javier, Keller, Dagmar I, Christ, Michael, Wildi, Karin, Breidthardt, Tobias, Strebel, Ivo, Mueller, Christian, Reichlin, Tobias, Kaeslin, Marina, Potlukova, Eliska, Kawecki, Damian, Geigy, Nicolas, Rentsch, Katharina, Shrestha, Samyut, Guzman-Tacla, Caroline A., Herraiz-Recuenco, Lourdes, Morawiec, Beata, Munzk, Piotr, Freese, Michael, Martinez-Nadal, Gemma, Fuenzalida, Carolina, Calderon, Sofia, Rodriguez Adrada, Esther, Ganovská, Eva, Parenica, Jiri, von Eckardstein, Arnold, Campodarve, Isabel, and Gea, Joachim

Abstract

The myocardial-ischaemic-injury-index (MI3) is a novel machine learning algorithm for the early diagnosis of type 1 non-ST-segment elevation myocardial infarction (NSTEMI). The performance of MI3, both when using early serial blood draws (eg, at 1 h or 2 h) and in direct comparison with guideline-recommended algorithms, remains unknown. Our aim was to externally validate MI3and compare its performance with that of the European Society of Cardiology (ESC) 0/1h-algorithm.

Published
2024
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17. Prospective Validation of the 0/1-h Algorithm for Early Diagnosis of Myocardial Infarction

Author

Twerenbold, Raphael, Neumann, Johannes Tobias, Sörensen, Nils Arne, Ojeda, Francisco, Karakas, Mahir, Boeddinghaus, Jasper, Nestelberger, Thomas, Badertscher, Patrick, Rubini Giménez, Maria, Puelacher, Christian, Wildi, Karin, Kozhuharov, Nikola, Breitenbuecher, Dominik, Biskup, Ewelina, du Fay de Lavallaz, Jeanne, Flores, Dayana, Wussler, Desiree, Miró, Òscar, Martín Sánchez, F. Javier, Morawiec, Beata, Parenica, Jiri, Geigy, Nicolas, Keller, Dagmar I., Zeller, Tanja, Reichlin, Tobias, Blankenberg, Stefan, Westermann, Dirk, and Mueller, Christian

Published
2018
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19. A NOVEL SPECKLE-TRACKING ECHOCARDIOGRAPHIC PARAMETER CONSIDERING LEFT VENTRICULAR LOADING CONDITION IN CARDIOGENIC SHOCK DURING VA ECMO

Author

Sato, Kei, primary, Heinsar, Silver, additional, Wildi, Karin Susanne, additional, Obonyo, Nchafatso, additional, LIU, KEIBUN, additional, Farah, Samia, additional, Ainola, Carmen, additional, Sato, Noriko, additional, Fior, Gabriele, additional, Ro, Sun Kyun, additional, Gandini, Lucia, additional, Ijuin, Shinichi, additional, Bouquet, Mahe, additional, Wilson, Emily, additional, Passmore, Margaret, additional, Hyslop, Kieran, additional, Chan, Jonathan H., additional, Platts, David, additional, Suen, Jacky, additional, Bassi, Gianluigi Li, additional, and Fraser, John, additional

Published
2023
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20. Comparing the utility of clinical risk scores and integrated clinical judgement in patients with suspected acute coronary syndrome

Author

Meier, Mario; https://orcid.org/0000-0003-4832-2095, Boeddinghaus, Jasper; https://orcid.org/0000-0003-4404-4956, Nestelberger, Thomas; https://orcid.org/0000-0003-2173-5738, Koechlin, Luca; https://orcid.org/0000-0002-2929-8600, Lopez-Ayala, Pedro; https://orcid.org/0000-0002-7787-0640, Wussler, Desiree; https://orcid.org/0000-0002-1793-5297, Walter, Joan Elias, Zimmermann, Tobias; https://orcid.org/0000-0002-6862-5205, Badertscher, Patrick; https://orcid.org/0000-0001-9751-0557, Wildi, Karin, Giménez, Maria Rubini, Puelacher, Christian; https://orcid.org/0000-0003-3206-6349, Glarner, Noemi; https://orcid.org/0000-0001-9651-8848, Magni, Jan, Miró, Òscar; https://orcid.org/0000-0002-7924-9751, Martin-Sanchez, Francisco Javier, Kawecki, Damian; https://orcid.org/0000-0003-4445-9721, Keller, Dagmar I, Gualandro, Danielle M, Twerenbold, Raphael; https://orcid.org/0000-0003-3814-6542, Nickel, Christian H; https://orcid.org/0000-0001-6619-9284, Bingisser, Roland; https://orcid.org/0000-0001-8223-9792, Mueller, Christian; https://orcid.org/0000-0002-1120-6405, Meier, Mario; https://orcid.org/0000-0003-4832-2095, Boeddinghaus, Jasper; https://orcid.org/0000-0003-4404-4956, Nestelberger, Thomas; https://orcid.org/0000-0003-2173-5738, Koechlin, Luca; https://orcid.org/0000-0002-2929-8600, Lopez-Ayala, Pedro; https://orcid.org/0000-0002-7787-0640, Wussler, Desiree; https://orcid.org/0000-0002-1793-5297, Walter, Joan Elias, Zimmermann, Tobias; https://orcid.org/0000-0002-6862-5205, Badertscher, Patrick; https://orcid.org/0000-0001-9751-0557, Wildi, Karin, Giménez, Maria Rubini, Puelacher, Christian; https://orcid.org/0000-0003-3206-6349, Glarner, Noemi; https://orcid.org/0000-0001-9651-8848, Magni, Jan, Miró, Òscar; https://orcid.org/0000-0002-7924-9751, Martin-Sanchez, Francisco Javier, Kawecki, Damian; https://orcid.org/0000-0003-4445-9721, Keller, Dagmar I, Gualandro, Danielle M, Twerenbold, Raphael; https://orcid.org/0000-0003-3814-6542, Nickel, Christian H; https://orcid.org/0000-0001-6619-9284, Bingisser, Roland; https://orcid.org/0000-0001-8223-9792, and Mueller, Christian; https://orcid.org/0000-0002-1120-6405

Abstract

Aims The utility of clinical risk scores regarding the prediction of major adverse cardiac events (MACE) is uncertain. We aimed to directly compare the prognostic performance of five established clinical risk scores as well as an unstructured integrated clinical judgement (ICJ) of the treating emergency department (ED) physician. Methods and results Thirty-day MACE including all-cause death, life-threatening arrhythmia, cardiogenic shock, acute myocardial infarction (including the index event), and unstable angina requiring urgent coronary revascularization were centrally adjudicated by two independent cardiologists in patients presenting to the ED with acute chest discomfort in an international multicentre study. We compared the prognostic performance of the HEART score, GRACE score, T-MACS, TIMI score, and EDACS, as well as the unstructured ICJ of the treating ED physician (visual analogue scale to estimate the probability of acute coronary syndrome, ranging from 0 to 100). Among 4551 eligible patients, 1110/4551 patients (24.4%) had at least one MACE within 30 days. Prognostic accuracy was high and comparable for the HEART score, GRACE score, T-MACS, and ICJ [area under the receiver operating characteristic curve (AUC) 0.85–0.87] but significantly lower and only moderate for the TIMI score (AUC 0.79, P < 0.001) and EDACS (AUC 0.74, P < 0.001), resulting in sensitivities for the rule-out of 30-day MACE of 93–96, 87 (P < 0.001), and 72% (P < 0.001), respectively. Conclusion The HEART score, GRACE score, T-MACS, and unstructured ICJ of the treating physician, not the TIMI score or EDACS, performed well for the prediction of 30-day MACE and may be considered for routine clinical use. Trial registration ClinicalTrials.gov number NCT00470587

Published
2023

21. Association of accompanying dyspnea with diagnosis and outcome of patients presenting with acute chest discomfort

Author

Boeddinghaus, Jasper; https://orcid.org/0000-0003-4404-4956, Nestelberger, Thomas; https://orcid.org/0000-0003-2173-5738, Koechlin, Luca; https://orcid.org/0000-0002-2929-8600, Lopez-Ayala, Pedro; https://orcid.org/0000-0002-7787-0640, Wussler, Desiree; https://orcid.org/0000-0002-1793-5297, Mais, Maximilian, Zwimpfer, Luca; https://orcid.org/0000-0003-3269-5786, Zimmermann, Tobias; https://orcid.org/0000-0002-6862-5205, Wildi, Karin, Rubini Giménez, Maria; https://orcid.org/0000-0003-2384-8250, Strebel, Ivo; https://orcid.org/0000-0001-9976-4112, Miró, Òscar; https://orcid.org/0000-0002-7924-9751, Martín-Sánchez, F Javier, Parenica, Jiri, Keller, Dagmar I, Gualandro, Danielle Menosi; https://orcid.org/0000-0001-9041-6250, Nickel, Christian H; https://orcid.org/0000-0001-6619-9284, Bingisser, Roland; https://orcid.org/0000-0001-8223-9792, Christ, Michael, Mueller, Christian; https://orcid.org/0000-0002-1120-6405, APACE investigators, Boeddinghaus, Jasper; https://orcid.org/0000-0003-4404-4956, Nestelberger, Thomas; https://orcid.org/0000-0003-2173-5738, Koechlin, Luca; https://orcid.org/0000-0002-2929-8600, Lopez-Ayala, Pedro; https://orcid.org/0000-0002-7787-0640, Wussler, Desiree; https://orcid.org/0000-0002-1793-5297, Mais, Maximilian, Zwimpfer, Luca; https://orcid.org/0000-0003-3269-5786, Zimmermann, Tobias; https://orcid.org/0000-0002-6862-5205, Wildi, Karin, Rubini Giménez, Maria; https://orcid.org/0000-0003-2384-8250, Strebel, Ivo; https://orcid.org/0000-0001-9976-4112, Miró, Òscar; https://orcid.org/0000-0002-7924-9751, Martín-Sánchez, F Javier, Parenica, Jiri, Keller, Dagmar I, Gualandro, Danielle Menosi; https://orcid.org/0000-0001-9041-6250, Nickel, Christian H; https://orcid.org/0000-0001-6619-9284, Bingisser, Roland; https://orcid.org/0000-0001-8223-9792, Christ, Michael, Mueller, Christian; https://orcid.org/0000-0002-1120-6405, and APACE investigators

Abstract

AIM: The presence of accompanying dyspnea is routinely assessed and common in patients presenting with acute chest pain/discomfort to the emergency department (ED). We aimed to assess the association of accompanying dyspnea with differential diagnoses, diagnostic work-up and outcome. METHODS: We enrolled patients presenting to the ED with chest pain/discomfort. Final diagnoses were adjudicated by independent cardiologists using all information including cardiac imaging. The primary diagnostic endpoint was the final diagnosis. The secondary diagnostic endpoint was the performance of high-sensitivity cardiac troponin (hs-cTn) and the European Society of Cardiology (ESC) 0/1h-algorithms for the diagnosis of myocardial infarction (MI). The prognostic endpoints were cardiovascular and all-cause mortality at two years. RESULTS: Among 6045 patients, 2892/6045 (48%) had accompanying dyspnea. The prevalence of ACS in patients with versus without dyspnea was comparable (MI 22.4% vs. 21.9%, p = 0.60, unstable angina 8.7% vs. 7.9%, p = 0.29). In contrast, patients with dyspnea more often had cardiac, non-coronary disease (15.3% vs. 10.2%, p < 0.001). Diagnostic accuracy of hs-cTnT/I concentrations was not affected by the presence of dyspnea (area under the curve 0.89-0.91 in both groups) and the safety of the ESC 0/1h-algorithms was maintained with negative predictive values >99.4%. Accompanying dyspnea was an independent predictor for cardiovascular and all-cause death at two years (Hazard Ratio [HR] 1.813 [95%CI, 1.453-2.261, p < 0.01]). CONCLUSION: Accompanying dyspnea was not associated with a higher prevalence of ACS but with cardiac, non-coronary disease. While the safety of the diagnostic work-up was not affected, accompanying dyspnea was an independent predictor for cardiovascular and all-cause death.

Published
2023

22. Diagnostic discrimination of a novel high-sensitivity cardiac troponin I assay and derivation/validation of an assay-specific 0/1h-algorithm

Author

Koechlin, Luca, Boeddinghaus, Jasper, Lopez-Ayala, Pedro, Nestelberger, Thomas, Wussler, Desiree, Mais, Felix, Twerenbold, Raphael, Zimmermann, Tobias, Wildi, Karin, Köppen, Anne Marie, Miró, Òscar, Martin-Sanchez, F Javier, Kawecki, Damian, Geigy, Nicolas, Keller, Dagmar I, Christ, Michael, Buser, Andreas, Giménez, Maria Rubini, Bernasconi, Luca, Hammerer-Lercher, Angelika, Mueller, Christian, APACE Investigators, Koechlin, Luca, Boeddinghaus, Jasper, Lopez-Ayala, Pedro, Nestelberger, Thomas, Wussler, Desiree, Mais, Felix, Twerenbold, Raphael, Zimmermann, Tobias, Wildi, Karin, Köppen, Anne Marie, Miró, Òscar, Martin-Sanchez, F Javier, Kawecki, Damian, Geigy, Nicolas, Keller, Dagmar I, Christ, Michael, Buser, Andreas, Giménez, Maria Rubini, Bernasconi, Luca, Hammerer-Lercher, Angelika, Mueller, Christian, and APACE Investigators

Abstract

BACKGROUND We aimed to assess the diagnostic utility of the Dimension EXL LOCI High-Sensitivity Troponin I (hs-cTnI-EXL) assay. METHODS This multicenter study included patients with chest discomfort presenting to the emergency department. Diagnoses were centrally and independently adjudicated by two cardiologists using all available clinical information. Adjudication was performed twice including serial measurements of high-sensitivity cardiac troponin (hs-cTn) I-Architect (primary analysis) and serial measurements of hs-cTnT-Elecsys (secondary analysis) in addition to the clinically used (hs)-cTn. The primary objective was to assess and compare the discriminatory performance of hs-cTnI-EXL, hs-cTnI-Architect and hs-cTnT-Elecsys for acute myocardial infarction (MI). Furthermore, we derived and validated a hs-cTnI-EXL-specific 0/1h-algorithm. RESULTS Adjudicated MI was the diagnosis in 204/1454 (14%) patients. The area under the receiver operating characteristics curve for hs-cTnI-EXL was 0.94 (95%CI, 0.93-0.96), and comparable to hs-cTnI-Architect (0.95; 95%CI, 0.93-0.96) and hs-cTnT-Elecsys (0.93; 95%CI, 0.91-0.95). In the derivation cohort (n = 813), optimal criteria for rule-out of MI were <9ng/L at presentation (if chest pain onset >3h) or <9ng/L and 0h-1h-change <5ng/L, and for rule-in ≥160ng/L at presentation or 0h-1h-change ≥100ng/L. In the validation cohort (n = 345), these cut-offs ruled-out 56% of patients (negative predictive value 99.5% (95%CI, 97.1-99.9), sensitivity 97.8% (95%CI, 88.7-99.6)), and ruled-in 9% (positive predictive value 83.3% (95%CI, 66.4-92.7), specificity 98.3% (95%CI, 96.1-99.3)). Secondary analyses using adjudication based on hs-cTnT measurements confirmed the findings. CONCLUSIONS The overall performance of the hs-cTnI-EXL was comparable to best-validated hs-cTnT/I assays and an assay-specific 0/1h-algorithm safely rules out and accurately rules in acute MI. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov number, NCT00470587.

Published
2023

24. Additional file 1 of Temporal trends in mortality and provision of intensive care in younger women and men with acute myocardial infarction or stroke

Author

Arslani, Ketina, Tontsch, Janna, Todorov, Atanas, Gysi, Bianca, Kaufmann, Mark, Kaufmann, Fabian, Hollinger, Alexa, Wildi, Karin, Merdji, Hamid, Helms, Julie, Siegemund, Martin, Gebhard, Catherine, and Gebhard, Caroline E.

Abstract

Additional file 1: Table S1. STROBE Statement—Checklist of items

Published
2023
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25. Cerebrovascular Complications of COVID-19 on Venovenous Extracorporeal Membrane Oxygenation

Author

Zaaqoq, Akram M, Griffee, Matthew J, Kelly, Thu-Lan, Fanning, Jonathon P, Heinsar, Silver, Suen, Jacky Y, Mariani, Silvia, Li Bassi, Gianluigi, Jacobs, Jeffrey P, White, Nicole, Fraser, John F, Lorusso, Roberto, Peek, Giles J, Cho, Sung-Min DO, COVID-19 Critical Care Consortium (COVID Critical), Loforte, Antonino, Al-Dabbous, Tala, Alfoudri, Huda, Shamsah, Mohammed, Elapavaluru, Subbarao, Berg, Ashley, Horn, Christina, Mayasi, Yunis, Schroll, Stephan, Meyer, Dan, Velazco, Jorge, Ploskanych, Ludmyla, Fikes, Wanda, Bagewadi, Rohini, Dao, Marvin, White, Haley, Berrios Laviena, Alondra, Ehlers, Ashley, Shalabi-McGuire, Maysoon, Witt, Trent, Grazioli, Lorenzo, Lorini, Luca, Wilson Grandin, E., Nunez, Jose, Reyes, Tiago, O’Briain, Diarmuid, Hunter, Stephanie, Ramanan, Mahesh, Affleck, Julia, Hurkadli Veerendra, Hemanth, Rai, Sumeet, Russell-Brown, Josie, Nourse, Mary, Joseph, Mark, Mitchell, Brook, Tenzer, Martha, Abe, Ryuzo, Jin Cho, Hwa, Seok Jeong, In, Rahman, Nadeem, Kakar, Vivek, Brozzi, Nicolas, Mehkri, Omar, Krishnan, Sudhir, Duggal, Abhijit, Houltham, Stuart, Graf, Jerónimo, Diaz, Roderigo, Orrego, Roderigo, Delgado, Camila, González, Joyce, Soledad Sanchez, Maria, Piagnerelli, Michael, Rahayu Dewayanti, Josefa, Zabert, Gustavo, Espinosa, Lucio, Delgado, Paulo, Delgado, Victoria, Rincón, Diego Fernando Bautista, Yanten, Angela Maria Marulanda, Bustamante Duque, Melissa, Brodie, Daniel, Elhazmi, Alyaa, Al-Hudaib, Abdullah, Callahan, Maria, Azhari Taufik, M., Yasmin Wardoyo, Elizabeth, Gunawan, Margaretha, Trisnaningrum, Nurindah S, Irawany, Vera, Rayhan, Muhammad, Panigada, Mauro, Pesenti, Antonia, Zanella, Alberto, Leone, Michela, Grasselli, Giacomo, Coppola, Silvia, Colombo, Sebastiano, Antonelli, Massimo, Carelli, Simone, Grieco, Domenico L., Asaki, Motohiro, Hoshino, Kota, Salazar, Leonardo, Duarte, Laura, Laffey, John, Mcnicholas, Bairbre, Cosgrave, David, Mccaffrey, Joseph, Bone, Allison, Hakeem, Yusuff, Winearls, James, Tallott, Mandy, Thomson, David, Arnold-Day, Christel, Cupido, Jerome, Fanie, Zainap, Miller, Malcom, Seymore, Lisa, van Straaten, Dawid, Ait Hssain, Ali, Aliudin, Jeffrey, Alqahtani, Al-Reem, Mohamed, Khoulod, Mohamed, Ahmed, Tan, Darwin, Villanueva, Joy, Zaqout, Ahmed, Kurtzman, Ethan, Ademi, Arben, Dobrita, Ana, El Aoudi, Khadija, Segura, Juliet, Giwangkancana, Gezy, Ohshimo, Shinichiro, Hoshino, Koji, Hitoshi, Saito, Osatnik, Javier, Joosten, Anne, Torres, Antoni, Yang, Minlan, Motos, Ana, Luna, Carlos, Arancibia, Francisco, Williams, Virginie, Noel, Alexandre, Luque, Nestor, Huynh Trung, Trieu, Yacoub, Sophie, Fantini, Marina, García, Ruth Noemi Jorge, Chicote Alvarez, Enrique, Greti, Anna, Ceccato, Adrian, Sanchez, Angel, Loza Vazquez, Ana, Roche-Campo, Ferran, Franch-Llasat, Diego, Tuazon, Divina, Amato, Marcelo, Cassimiro, Luciana, Pola, Flavio, Ribeiro, Francis, Fonseca, Guilherme, Dalton, Heidi, Desai, Mehul, Osborn, Erik, Deeb, Hala, Arcadipane, Antonio, Martucci, Gennaro, Panarello, Giovanna, Vitiello, Chiara, Bianco, Claudia, Occhipinti, Giovanna, Rossetti, Matteo, Cuffaro, Raffaele, Shimizu, Hiroaki, Moriyama, Naoki, Kim, Jae-Burm, Kitamura, Nobuya, Gebauer, Johannes, Yokoyama, Toshiki, Al-Fares, Abdulrahman, Buabbas, Sarah, Alamad, Esam, Alawadhi, Fatma, Alawadi, Kalthoum, Tanaka, Hiro, Hashimoto, Satoru, Yamazaki, Masaki, Tak-Hyuck, Oh, Epler, Mark, Forney, Cathleen, Kruse, Louise, Feister, Jared, Williamson, Joelle, Grobengieser, Katherine, Gnall, Eric, Golden, Sasha, Caroline, Mara, Shapiro, Timothy, Karaj, Colleen, Thome, Lisa, Sher, Lynn, Vanderland, Mark, Welch, Mary, Mcdermott, Sherry, Brain, Matthew, Mineall, Sarah, Kimura, Dai, Brazzi, Luca, Sales, Gabriele, Ogston, Tawnya, Nagpal, Dave, Fischer, Karlee, Rangappa, Rajavardhan, Rai, Sujin, Appu, Argin, Esperatti, Mariano, Carton, Edmund G., Sen, Ayan, Palacios, Amanda, Rainey, Deborah, Samoukoviv, Gordan, Campisi, Josie, Durham, Lucia, Neumann, Emily, Seefeldt, Cassandra, Falcucci, Octavio, Emmrich, Amanda, Guy, Jennifer, Johns, Carling, Potzner, Kelly, Zimmermann, Catherine, Espinal, Angelia, Buchtele, Nina, Schwameis, Michael, Stecher, Stephanie-Susanne, Singh, Delila, Barnikel, Michaela, Arenz, Lukas, Anh Galloway, Lan, Merley, Caitlin, Nichol, Alistair, Csete, Marc, Quesada, Luisa, Saba, Isabela, Kasugai, Daisuke, Hiraiwa, Hiroaki, Tanaka, Taku, Marwali, Eva, Purnama, Yoel, Rahayu Dewayanti, Santi, Ardiyan, Arifa Juzar, Dafsah, Siagian, Debby, Chen, Yih-Sharng, Ogino, Mark, Ratsep, Indrek, Oigus, Getter, Erikson, Kristo, Post, Andra-Maris, Enneveer, Lauri, Sillaots, Piret, Manetta, Frank, Mihelis, Effe, Claire Sarmiento, Iam, Narasimhan, Mangala, Varrone, Michael, Komats, Mamoru, Garcia-Diaz, Julia, Harmon, Catherine, Veena Satyapriya, S., Bhatt, Amar, Mokadam, Nahush A., Uribe, Alberto, Gonzalez, Alicia, Shi, Haixia, Mckeown, Johnny, Pasek, Joshua, Fiorda, Juan, Echeverria, Marco, Moreno, Rita, Zakhary, Bishoy, Cavana, Marco, Cucino, Alberto, Foti, Giuseppe, Giani, Marco, Russotto, Vincenzo, Chiumello, Davide, Castagna, Valentina, Dell’Amore, Andrea, Navalesi, Paolo, Shum, Hoi-Ping, Vuysteke, Alain, Usman, Asad, Acker, Andrew, Smood, Benjamin, Mergler, Blake, Sertic, Federico, Subramanian, Madhu, Sperry, Alexandra, Rizer, Nicolas, Burhan, Erlina, Rasmin, Menaldi, Akmal, Ernita, Sitompul, Faya, Lolong, Navy, Naivedh, Bhat, Erickson, Simon, Barrett, Peter, Dean, David, Daugherty, Julia, Loforte, Antonio, Khan, Irfan, Abraar Quraishi, Mohammed, Desantis, Olivia, Dominic, So, Kandamby, Darshana, Mandei, Jose M., Natanael, Hans, Yudhalantang, Eka, Lantang, Anastasia, Oto Wijaya, Surya, Jung, Anna, George, Ng, Yiu Ng, Wing, Yeung Ng, Pauline, Fang, Shu, Tabah, Alexis, Ratcliffe, Megan, Duroux, Maree, Adachi, Shingo, Nakao, Shota, Blanco, Pablo, Prieto, Ana, Sánchez, Jesús, Nicholson, Meghan, Butt, Warwick, Serratore, Alyssa, Delzoppo, Carmel, Janin, Pierre, Yarad, Elizabeth, Totaro, Richard, Coles, Jennifer, Pujo, Bambang, Balk, Robert, Vissing, Andy, Kapania, Esha, Hays, James, Fox, Samuel, Yantosh, Garrett, Mishin, Pavel, Yuliarto, Saptadi, Hari Santoso, Kohar, Djajalaksana, Susanthy, Zainul Fatoni, Arie, Fukuda, Masahiro, Liu, Keibun, Pelosi, Paolo, Battaglini, Denise, Jiménez, Juan Fernando Masa, Bastos, Diego, Gaião, Sérgio, Rusmawatiningtyas, Desy, Buchner, Jessica, Cho, Young-Jae, Hwan Lee, Su, Kawasaki, Tatsuya, Munshi, Laveena, Sakiyalak, Pranya, Nitayavardhana, Prompak, Seitz, Tamara, Arora, Rakesh, Kent, David, Marino, Daniel, Parwar, Swapnil, Cheng, Andrew, Miller, Jennene, Fujitani, Shigeki, Shimizu, Naoki, Madhok, Jai, Owyang, Clark, Buscher, Hergen, Reynolds, Claire, Maasikas, Olavi, Beljantsev, Aleksan, Mihnovits, Vladislav, Akimoto, Takako, Aizawa, Mariko, Horibe, Kanako, Onodera, Ryota, Hodgson, Carol, Burrell, Aidan, Young, Meredith, George, Timothy, Shekar, Kiran, Mcguinness, Niki, Irvine, Lacey, Flynn, Brigid, Endo, Tomoyuki, Sugiyama, Kazuhiro, Shimizu, Keiki, Fan, Eddy, Exconde, Kathleen, Ichiba, Shingo, Lussier, Leslie, Lotz, Gösta, Malfertheiner, Maximilian, Maier, Lars, Dreier, Esther, Permata Kusumastuti, Neurinda, Mccloskey, Colin, Dabaliz, Al-Awwab, Elshazly, Tarek B, Smith, Josiah, Szuldrzynski, Konstanty S., Bielański, Piotr, Wille, Keith, Murthy, Srinivas, Parhar, Ken Kuljit S., Fiest, Kirsten M., Codan, Cassidy, Shahid, Anmol, Fayed, Mohamed, Evans, Timothy, Garcia, Rebekah, Gutierrez, Ashley, Song, Tae, Rose, Rebecca, Bennett, Suzanne, Richardson, Denise, Arora, Lovkesh, Rappapport, Kristina, Rudolph, Kristina, Sibenaller, Zita, Stout, Lori, Walter, Alicia, Herr, Daniel, Vedadi, Nazli, Bartlett, Robert, Pesenti, Antonio, Thompson, Shaun, Sindt, Lace, Rajnic, Sean, Ewald, Cale, Hoffman, Julie, Ying, Xiaonan, Kennedy, Ryan, Ciullo, Anna, Kida, Yuri, Ferrer Roca, Ricard, Riera, Jordi, Contreras, Sofia, Alegre, Cynthia, Kay, Christy, Fischer, Irene, Renner, Elizabeth, Taniguci, Hayato, Barnett, Adrian, Gibbons, Kristen, Forsyth, Simon, Corley, Amanda, Yang, Ian, Pearse, India, Hinton, Samuel, Abbate, Gabriella, Hassan, Halah, Karnik, Varun A, Katrina, Ki, O'Neill, Hollier F., Obonyo, Nchafatso, Pretti Pimenta, Leticia, Reid, Janice D., Sato, Kei, Vuorinen, Aapeli, Wildi, Karin S., Wood, Emily S., Yerkovich, Stephanie, Lee, James, Plotkin, Daniel, Wanjiru Citarella, Barbara, Merson, Laura, Hartley, Emma, Lubis, Bastian, Ikeyama, Takanari, Bhaskar, Balu, Jung, Jae-Seung, Mcguinness, Shay, Eastwood, Glenn, Rossi Marta, Sandra, Guarracino, Fabio, Gerle, Stacy, Coxon, Emily, Claro, Bruno, Loverde, Daniel, Patil, Namrata, Parrini, Vieri, Mcbride, Angela, Negaard, Kathryn, Ratsch, Angela, Abdelaziz, Ahmad, David Uribe, Juan, Peris, Adriano, Sanders, Mark, Emerson, Dominic, Kamal, Muhammad, Povoa, Pedro, Francis, Roland, Cherif, Ali, Joseph, Sunimol, Di Nardo, Matteo, Heard, Micheal, Kyle, Kimberly, Blackwell, Ray A, Biston, Patrick, Won Jeong, Hye, Smith, Reanna, Prawira, Yogi, Montrucchio, Giorgia, Huerta Garcia, Arturo, Salterain, Nahikari, Meyns, Bart, Moreno, Marsha, Walia, Rajat, Mehta, Amit, Schweda, Annette, Supriatna, Moh, Kirakli, Cenk, Williams, Melissa, Hoon Kim, Kyung, Assad, Alexandra, Giraldo, Estefania, Karolak, Wojtek, Balik, Martin, Pocock, Elizabeth, Gajkowski, Evan, Masafumi, Kanamoto, Barrett, Nicholas, Takeyama, Yoshihiro, Park, Sunghoon, Amin, Faizan, Meilyana Andriyani, Fina, Sudakevych, Serhii, Vera, Magdalena, Cornejo, Rodrigo, Schwarz, Patrícia, Carolina Mardini, Ana, de Paula, Thais, Serpa Neto, Ary, Villoldo, Andrea, Siciliano Colafranceschi, Alexandre, Ubeda Iglesias, Alejandro, Granjean, Juan, Melro, Lívia Maria Garcia, Fioravante Romualdo, Giovana, Gaia, Diego, Souza, Helmgton, Galas, Filomena, Máñez Mendiluce, Rafael, Sosa, Alejandra, Martinez, Ignacio, Kurosawa, Hiroshi, Salgado, Juan, Hugi-Mayr, Beate, Charbonneau, Eric, Salvatore Barzilai, Vitor, Monteiro, Veronica, Ribeiro de Souza, Rodrigo, Harper, Michael, Suzuki, Hiroyuki, Adams, Celina, Brieva, Jorge, Nyale, George, Saleem Eltatar, Faisal, Fatani, Jihan, Baeissa, Husam, Masri, Ayman AL, Rabie, Ahmed, Yee Hui, Mok, Yamane, Masahiro, Jung, Hanna, Mojisola Margaret, Ayorinde, Nacpil, Newell, Ruck, Katja, Bakken, Rhonda, Jara, Claire, Felton, Tim, Berra, Lorenzo, Shah, Bobby, Chakraborty, Arpan, Cardona, Monika, Capatos, Gerry, Akkanti, Bindu, Orija, Abiodun, Jain, Harsh, Ito, Asami, Housni, Brahim, Low, Sennen, Iihara, Koji, Chavez, Joselito, Ramanathan, Kollengode, Naidoo, Krubin, Seppelt, Ian, Vandyk, Marlice, Macdonald, Sarah, Mcgregor, Randy, Siebenaler, Teka, Flynn, Hannah, Lofton, Kristi, Aokage, Toshiyuki, Shigemitsu, Kazuaki, Moscatelli, Andrea, Fiorentino, Giuseppe, Baumgaertel, Matthias, Eddy Mba, Serge, Assy, Jana, Hutahaean, Amelya, Roush, Holly, Sichting, Kay A, Alessandri, Francesco, Burns, Debra, Salt, Gavin, Garabedian, Carl P., Millar, Jonathan, Sim, Malcolm, Mattke, Adrian, Mcauley, Danny, Tadili, Jawad, Frenzel, Tim, Bar-Lavie, Yaron, Blandino Ortiz, Aaron, Stone, Jackie, Attokaran, Antony, Farquharson, Michael, Patel, Brij, Gunning, Derek, Baillie, Kenneth, Watson, Pia, Tamai, Kenji, Ketut Sajinadiyasa, Gede, Kanyawati, Dyah, Salgado, Marcello, Sassine, Assad, Yudo, Bhirowo, Mccaul, Scott, Lee, Bongjin, Min Lee, Sang, Afek, Arnon, Iwashita, Yoshiaki, Pujo Semedi, Bambang, Metiva, Jack, Van Belle, Nicole, Martin-Loeches, Ignacio, Ivatt, Lenny, Yew Woon, Chia, Mi Kang, Hyun, Smith, Timothy, James, Erskine, Al-Rawas, Nawar, Iwasaki, Yudai, Chan King-Chung, Kenny, Gudzenko, Vadim, Taccone, Fabio, Perdhana, Fajar, Lamarche, Yoan, Miguel Ribeiro, Joao, Bradic, Nikola, Van den Bossche, Klaartje, Lansink, Oude, Singh, Gurmeet, Debeuckelaere, Gerdy, Stelfox, Henry T., Cassia, Yi, Elia, Jennifer, Tribble, Thomas, Shankar, Shyam, Padmanabhan, Raj, Hallinan, Bill, Paoletti, Luca, Leyva, Yolanda, Fykuda, Tatuma, Badulak, Jenelle, Koch, Jillian, Hackman, Amy, Janowaik, Lisa, Hernandez, Deb, Osofsky, Jennifer, Donadello, Katia, Lawang, Aizah, Fine, Josh, Davidson, Benjamin, and Vazquez, Andres Oswaldo Razo

Published
2023

26. Combining High-Sensitivity Cardiac Troponin I and Cardiac Troponin T in the Early Diagnosis of Acute Myocardial Infarction

Author

van der Linden, Noreen, Wildi, Karin, Twerenbold, Raphael, Pickering, John W., Than, Martin, Cullen, Louise, Greenslade, Jaimi, Parsonage, William, Nestelberger, Thomas, Boeddinghaus, Jasper, Badertscher, Patrick, Rubini Giménez, Maria, Klinkenberg, Lieke J.J., Bekers, Otto, Schöni, Aline, Keller, Dagmar I., Sabti, Zaid, Puelacher, Christian, Cupa, Janosch, Schumacher, Lukas, Kozhuharov, Nikola, Grimm, Karin, Shrestha, Samyut, Flores, Dayana, Freese, Michael, Stelzig, Claudia, Strebel, Ivo, Miró, Òscar, Rentsch, Katharina, Morawiec, Beata, Kawecki, Damian, Kloos, Wanda, Lohrmann, Jens, Richards, A. Mark, Troughton, Richard, Pemberton, Christopher, Osswald, Stefan, van Dieijen-Visser, Marja P., Mingels, Alma M., Reichlin, Tobias, Meex, Steven J.R., and Mueller, Christian

Published
2018
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27. Response by Kaier et al to Letter Regarding Article, “Direct Comparison of Cardiac Myosin-Binding Protein C With Cardiac Troponins for the Early Diagnosis of Acute Myocardial Infarction”

Author

Kaier, Thomas E., Twerenbold, Raphael, Puelacher, Christian, Marjot, Jack, Imambaccus, Nazia, Boeddinghaus, Jasper, Nestelberger, Thomas, Badertscher, Patrick, Sabti, Zaid, Rubini Giménez, Maria, Wildi, Karin, Hillinger, Petra, Grimm, Karin, Loeffel, Sarah, Shrestha, Samyut, Flores Widmer, Dayana, Cupa, Janosch, Kozhuharov, Nikola, Miró, Òscar, Martín-Sánchez, F. Javier, Morawiec, Beata, Rentsch, Katharina, Lohrmann, Jens, Kloos, Wanda, Osswald, Stefan, Reichlin, Tobias, Weber, Ekkehard, Marber, Michael, and Mueller, Christian

Published
2018
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28. Direct Comparison of the 0/1h and 0/3h Algorithms for Early Rule-Out of Acute Myocardial Infarction

Author

Badertscher, Patrick, Boeddinghaus, Jasper, Twerenbold, Raphael, Nestelberger, Thomas, Wildi, Karin, Wussler, Desiree, Schwarz, Jonas, Puelacher, Christian, Rubini Giménez, Maria, Kozhuharov, Nikola, du Fay de Lavallaz, Jeanne, Cerminara, Sara Elisa, Potlukova, Eliska, Rentsch, Katharina, Miró, Òscar, López, Beatriz, Martin-Sanchez, F. Javier, Morawiec, Beata, Muzyk, Piotr, Keller, Dagmar I., Reichlin, Tobias, Mueller, Christian, Sabti, Zaid, Strebel, Ivo, Shrestha, Samyut, Flores, Dayana, Freese, Michael, Stelzig, Claudia, Kulangara, Caroline, Meissner, Kathrin, Schaerli, Nicolas, Mueller, Deborah, Yufera Sanchez, Ana, Sazgary, Lorraine, Marbot, Stella, Fuenzalida, Carolina, Calderón, Sofia, Rodriguez Adrada, Esther, Kawecki, Damian, Nowalany-Kozielska, Ewa, Parenica, Jiri, Ganovská, Eva, von Eckardstein, Arnold, Lohrmann, Jens, Kloos, Wanda, Osswald, Stefan, Buser, Andreas, Bingisser, Roland, and Geigy, Nicolas

Published
2018
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29. Perioperative Myocardial Injury After Noncardiac Surgery: Incidence, Mortality, and Characterization

Author

Puelacher, Christian, Lurati Buse, Giovanna, Seeberger, Daniela, Sazgary, Lorraine, Marbot, Stella, Lampart, Andreas, Espinola, Jaqueline, Kindler, Christoph, Hammerer, Angelika, Seeberger, Esther, Strebel, Ivo, Wildi, Karin, Twerenbold, Raphael, du Fay de Lavallaz, Jeanne, Steiner, Luzius, Gurke, Lorenz, Breidthardt, Tobias, Rentsch, Katharina, Buser, Andreas, Gualandro, Danielle M., Osswald, Stefan, Mueller, Christian, Seeberger, Manfred, Christ-Crain, Mirjam, Cuculi, Florim, Badertscher, Patrick, Nestelberger, Thomas, Wussler, Desiree, Flores, Dayana, Boeddinghaus, Jasper, Sabti, Zaid, Giménez, Maria Rubini, Kozhuharov, Nikola, Shrestha, Samyut, Kloos, Wanda, Lohrmann, Jens, Reichlin, Tobias, Freese, Michael, Meissner, Kathrin, Kaiser, Christoph, and Buser, Andreas

Published
2018
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30. 0/1-Hour Triage Algorithm for Myocardial Infarction in Patients With Renal Dysfunction

Author

Twerenbold, Raphael, Badertscher, Patrick, Boeddinghaus, Jasper, Nestelberger, Thomas, Wildi, Karin, Puelacher, Christian, Sabti, Zaid, Rubini Gimenez, Maria, Tschirky, Sandra, du Fay de Lavallaz, Jeanne, Kozhuharov, Nikola, Sazgary, Lorraine, Mueller, Deborah, Breidthardt, Tobias, Strebel, Ivo, Flores Widmer, Dayana, Shrestha, Samyut, Miró, Òscar, Martín-Sánchez, F. Javier, Morawiec, Beata, Parenica, Jiri, Geigy, Nicolas, Keller, Dagmar I., Rentsch, Katharina, von Eckardstein, Arnold, Osswald, Stefan, Reichlin, Tobias, and Mueller, Christian

Published
2018
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31. A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction

Author

Kaier, Thomas E, Twerenbold, Raphael, Lopez-Ayala, Pedro, Nestelberger, Thomas, Boeddinghaus, Jasper, Alaour, Bashir, Huber, Iris-Martina, Zhi, Yuan, Koechlin, Luca, Wussler, Desiree, Wildi, Karin, Shrestha, Samyut, Strebel, Ivo, Miró, Òscar, Martín-Sánchez, Javier F, Christ, Michael, Kawecki, Damien, Keller, Dagmar I, Rubini Gimenez, Maria, Marber, Michael, Mueller, Christian, APACE Investigators, and University of Zurich

Subjects
Myocardial Infarction, 610 Medicine & health, General Medicine, Critical Care and Intensive Care Medicine, Early Diagnosis, Troponin T, 540 Chemistry, Humans, Prospective Studies, Carrier Proteins, Non-ST Elevated Myocardial Infarction, Cardiology and Cardiovascular Medicine, Algorithms, Biomarkers, 10038 Institute of Clinical Chemistry
Abstract

Aims Cardiac myosin-binding protein C (cMyC) demonstrated high diagnostic accuracy for the early detection of non-ST-elevation myocardial infarction (NSTEMI). Its dynamic release kinetics may enable a 0/1h-decision algorithm that is even more effective than the ESC hs-cTnT/I 0/1 h rule-in/rule-out algorithm. Methods and results In a prospective international diagnostic study enrolling patients presenting with suspected NSTEMI to the emergency department, cMyC was measured at presentation and after 1 h in a blinded fashion. Modelled on the ESC hs-cTnT/I 0/1h-algorithms, we derived a 0/1h-cMyC-algorithm. Final diagnosis of NSTEMI was centrally adjudicated according to the 4th Universal Definition of Myocardial Infarction. Among 1495 patients, the prevalence of NSTEMI was 17%. The optimal derived 0/1h-algorithm ruled-out NSTEMI with cMyC 0 h concentration below 10 ng/L (irrespective of chest pain onset) or 0 h cMyC concentrations below 18 ng/L and 0/1 h increase Conclusion The cMyC 0/1h-algorithm provided excellent safety and identified a greater proportion of patients suitable for direct rule-out or rule-in based on a single measurement than the ESC 0/1h-algorithm using hs-cTnT/I. Trial registration ClinicalTrials.gov number, NCT00470587.

Published
2022

32. Influence of renin‐angiotensin‐aldosterone system inhibitors on plasma levels of angiotensin‐converting enzyme 2

Author

Zimmermann, Tobias, Walter, Joan Elias, Lopez‐Ayala, Pedro, Strebel, Ivo, Amrein, Melissa, Koechlin, Michael, Honegger, Ursina, Mueller, Christian, Albus, Miriam, Zellweger, Michael, Liu, Yu‐Ching, Glarner, Noemi, Boeddinghaus, Jasper, Freese, Michael, Haaf, Philip, Gualandro, Danielle M., Prepoudis, Alexandra, Leu, Kathrin, Schaerli, Nicolas, Belkin, Maria, Wildi, Karin, Puelacher, Christian, Shrestha, Samyut, Wussler, Desiree, Diebold, Matthias, Rentsch, Katharina, Buser, Andreas, du Fay de Lavallaz, Jeanne, Koechlin, Luca, Twerenbold, Raphael, and Nestelberger, Thomas

Subjects
Male, Proteomics, lcsh:Diseases of the circulatory (Cardiovascular) system, medicine.medical_specialty, Short Communication, Short Communications, ACE2, Angiotensin-Converting Enzyme Inhibitors, 030204 cardiovascular system & hematology, SARS‐CoV‐2, Renin-Angiotensin System, Angiotensin Receptor Antagonists, 03 medical and health sciences, Plasma levels, RAAS, 0302 clinical medicine, In vivo, Internal medicine, Renin–angiotensin system, medicine, Humans, 030212 general & internal medicine, Receptor, ACE, Aged, Covid‐19, SARS-CoV-2, business.industry, COVID-19, ARB, medicine.disease, Confidence interval, Endocrinology, lcsh:RC666-701, Heart failure, Angiotensin-converting enzyme 2, Female, Angiotensin-Converting Enzyme 2, Cardiology and Cardiovascular Medicine, business, Body mass index, hormones, hormone substitutes, and hormone antagonists
Abstract

Aims Concern has been raised that treatment with angiotensin‐converting enzyme inhibitors and angiotensin receptor blockers may increase the expression of angiotensin‐converting enzyme 2 (ACE2), which acts as the entry receptor for SARS‐CoV‐2, and lead to an increased risk of death from SARS‐CoV‐2. We aimed to address this concern by evaluating the in vivo relationship of treatment with ACE inhibitors and angiotensin receptor blockers (ARB) with circulating plasma concentrations of ACE2 in a large cohort of patients with established cardiovascular disease (n = 1864) or cardiovascular risk factors (n = 2144) but without a history of heart failure. Methods and results Angiotensin‐converting enzyme 2 was measured in 4008 patients (median age 68, 33% women, 31% on ACE‐inhibitors, 31% on ARB) using the SOMAscan proteomic platform (SomaLogic Inc, Colorado, USA). Plasma concentration of ACE2 was comparable in 1250 patients on ACE inhibitors (mean 5.99) versus patients without ACE inhibitors (mean 5.98, P = 0.54). Similarly, plasma concentration of ACE2 was comparable in 1260 patients on ARB (mean 5.99) versus patients without ARB (mean 5.98, P = 0.50). Plasma concentration of ACE2 was comparable in 2474 patients on either ACE inhibitors or ARB (mean 5.99) versus patients without ACE inhibitors or ARB (mean 5.98, P = 0.31). Multivariable quantile regression model analysis confirmed the lack of association between treatment with ACE inhibitors or ARB and ACE2 concentrations. Body mass index showed the only positive association with ACE2 plasma concentration (effect 0.015, 95% confidence interval 0.002 to 0.028, P = 0.024). Conclusions In a large cohort of patients with established cardiovascular disease or cardiovascular risk factors but without heart failure, ACE inhibitors and ARB were not associated with higher plasma concentrations of ACE2.

Published
2021

33. Differential Protein Expression among Two Different Ovine ARDS Phenotypes—A Preclinical Randomized Study

Author

Wildi, Karin, primary, Bouquet, Mahe, additional, Ainola, Carmen, additional, Livingstone, Samantha, additional, Colombo, Sebastiano Maria, additional, Heinsar, Silver, additional, Sato, Noriko, additional, Sato, Kei, additional, Wilson, Emily, additional, Abbate, Gabriella, additional, Passmore, Margaret R., additional, Hyslop, Kieran, additional, Liu, Keibun, additional, Li Bassi, Gianluigi, additional, Suen, Jacky Y., additional, and Fraser, John F., additional

Published
2022
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34. Validation of Messenger Ribonucleic Acid Markers Differentiating Among Human Acute Respiratory Distress Syndrome Subgroups in an Ovine Model of Acute Respiratory Distress Syndrome Phenotypes

Author

Wildi, Karin, primary, Hyslop, Kieran, additional, Millar, Jonathan, additional, Livingstone, Samantha, additional, Passmore, Margaret R., additional, Bouquet, Mahé, additional, Wilson, Emily, additional, LiBassi, Gianluigi, additional, Fraser, John F., additional, and Suen, Jacky Y., additional

Published
2022
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35. Validation of High-Sensitivity Troponin I in a 2-Hour Diagnostic Strategy to Assess 30-Day Outcomes in Emergency Department Patients With Possible Acute Coronary Syndrome

Author

Cullen, Louise, Mueller, Christian, Parsonage, William A., Wildi, Karin, Greenslade, Jaimi H., Twerenbold, Raphael, Aldous, Sally, Meller, Bernadette, Tate, Jillian R., Reichlin, Tobias, Hammett, Christopher J., Zellweger, Christa, Ungerer, Jacobus P.J., Rubini Gimenez, Maria, Troughton, Richard, Murray, Karsten, Brown, Anthony F.T., Mueller, Mira, George, Peter, Mosimann, Tamina, Flaws, Dylan F., Reiter, Miriam, Lamanna, Arvin, Haaf, Philip, Pemberton, Christopher J., Richards, A. Mark, Chu, Kevin, Reid, Christopher M., Peacock, William Frank, Jaffe, Allan S., Florkowski, Christopher, Deely, Joanne M., and Than, Martin

Published
2013
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36. Characteristics and Outcomes of Type 2 Myocardial Infarction

Author

Coscia, Tania, Nestelberger, Thomas, Boeddinghaus, Jasper, Lopez-Ayala, Pedro, Koechlin, Luca, Miró, Òscar, Keller, Dagmar I., Strebel, Ivo, Yufera Sanchez, Ana, Okamura, Bernhard, Wussler, Desiree, Shrestha, Samyut, Hausknecht, Katharina, Martín-Sánchez, F. Javier, Christ, Michael, Kawecki, Damian, Twerenbold, Raphael, Wildi, Karin, Rubini Gimenez, Maria, and Mueller, Christian

Subjects
Risk Factors, Myocardial Infarction, Humans, Cardiology and Cardiovascular Medicine, Original Investigation
Abstract

IMPORTANCE: In contrast to type 1 myocardial infarction (T1MI) caused by atherothrombosis, characteristics and outcomes of type 2 myocardial infarction (T2MI) caused by supply-demand mismatch are incompletely understood. OBJECTIVE: To explore the characteristics and outcomes of patients with T2MI compared with those with T1MI. DESIGN, SETTING, AND PARTICIPANTS: In a prospective, international, multicenter cohort study including 12 emergency departments (EDs) in 5 European countries, unselected patients presenting with acute chest discomfort were enrolled from April 2006 to April 2018. Follow-up was done by telephone or in written form 3, 12, and 24 months after hospital discharge. Data were analyzed from April 2006 to April 2020. INTERVENTIONS: The final diagnoses of T2MI and T1MI were centrally adjudicated according to the Fourth Universal Definition of Myocardial Infarction by 2 independent cardiologists, including the pathophysiological trigger of T2MI. MAIN OUTCOMES AND MEASURES: Patient characteristics and outcomes, including 2-year all-cause and cardiovascular mortality and future T2MI and T1MI events. RESULTS: Of 6253 included patients, 2078 (33.2%) were women, and the median (IQR) age was 61 (48-74) years. Among 6253 patients with acute chest discomfort, the final adjudicated diagnosis was T2MI in 251 patients (4.0%), with tachyarrhythmia and hypertension responsible for two-thirds of cases, and T1MI in 1027 patients (16.4%). All-cause and cardiovascular mortality were comparable at 2 years (T2MI: adjusted hazard ratio, 1.0; 95% CI, 0.7-1.5; T1MI: adjusted hazard ratio, 0.7; 95% CI, 0.4-1.1). Patients with tachyarrhythmia or hypertension as their underlying trigger of T2MI had a lower mortality compared with patients with hypotension, hypoxemia, or anemia. Future T2MI was more likely among patients with index T2MI compared with patients with index T1MI (hazard ratio, 3.2; 95% CI, 1.4-7.5). Similarly, future T1MI was more likely to occur among patients with index T1MI (hazard ratio, 3.0; 95% CI, 1.2-7.4). CONCLUSIONS AND RELEVANCE: Among patients with T2MI, tachyarrhythmia and hypertension were responsible for more than two-thirds of T2MI cases. While T2MI and T1MI had comparable all-cause and cardiovascular mortality at 2 years, patients with tachyarrhythmia or hypertension as their underlying trigger of T2MI had a lower mortality compared with patients with hypotension, hypoxemia, or anemia. Future T2MI occurred 3-fold more frequently among patients with T2MI vs T1MI as the index event. Improved understanding of the specifics of patients with T2MI should help improve management strategies.

Published
2022

37. A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction

Author

Kaier, Thomas E; https://orcid.org/0000-0002-4669-2095, Twerenbold, Raphael; https://orcid.org/0000-0003-3814-6542, Lopez-Ayala, Pedro; https://orcid.org/0000-0002-7787-0640, Nestelberger, Thomas; https://orcid.org/0000-0003-2173-5738, Boeddinghaus, Jasper; https://orcid.org/0000-0003-4404-4956, Alaour, Bashir; https://orcid.org/0000-0001-5604-1096, Huber, Iris-Martina, Zhi, Yuan, Koechlin, Luca; https://orcid.org/0000-0002-2929-8600, Wussler, Desiree; https://orcid.org/0000-0002-1793-5297, Wildi, Karin, Shrestha, Samyut, Strebel, Ivo; https://orcid.org/0000-0001-9976-4112, Miró, Òscar; https://orcid.org/0000-0002-7924-9751, Martín-Sánchez, Javier F, Christ, Michael, Kawecki, Damien, Keller, Dagmar I, Rubini Gimenez, Maria; https://orcid.org/0000-0003-2384-8250, Marber, Michael, Mueller, Christian; https://orcid.org/0000-0002-1120-6405, APACE Investigators, Kaier, Thomas E; https://orcid.org/0000-0002-4669-2095, Twerenbold, Raphael; https://orcid.org/0000-0003-3814-6542, Lopez-Ayala, Pedro; https://orcid.org/0000-0002-7787-0640, Nestelberger, Thomas; https://orcid.org/0000-0003-2173-5738, Boeddinghaus, Jasper; https://orcid.org/0000-0003-4404-4956, Alaour, Bashir; https://orcid.org/0000-0001-5604-1096, Huber, Iris-Martina, Zhi, Yuan, Koechlin, Luca; https://orcid.org/0000-0002-2929-8600, Wussler, Desiree; https://orcid.org/0000-0002-1793-5297, Wildi, Karin, Shrestha, Samyut, Strebel, Ivo; https://orcid.org/0000-0001-9976-4112, Miró, Òscar; https://orcid.org/0000-0002-7924-9751, Martín-Sánchez, Javier F, Christ, Michael, Kawecki, Damien, Keller, Dagmar I, Rubini Gimenez, Maria; https://orcid.org/0000-0003-2384-8250, Marber, Michael, Mueller, Christian; https://orcid.org/0000-0002-1120-6405, and APACE Investigators

Abstract

AIMS: Cardiac myosin-binding protein C (cMyC) demonstrated high diagnostic accuracy for the early detection of non-ST-elevation myocardial infarction (NSTEMI). Its dynamic release kinetics may enable a 0/1h-decision algorithm that is even more effective than the ESC hs-cTnT/I 0/1 h rule-in/rule-out algorithm. METHODS AND RESULTS: In a prospective international diagnostic study enrolling patients presenting with suspected NSTEMI to the emergency department, cMyC was measured at presentation and after 1 h in a blinded fashion. Modelled on the ESC hs-cTnT/I 0/1h-algorithms, we derived a 0/1h-cMyC-algorithm. Final diagnosis of NSTEMI was centrally adjudicated according to the 4th Universal Definition of Myocardial Infarction. Among 1495 patients, the prevalence of NSTEMI was 17%. The optimal derived 0/1h-algorithm ruled-out NSTEMI with cMyC 0 h concentration below 10 ng/L (irrespective of chest pain onset) or 0 h cMyC concentrations below 18 ng/L and 0/1 h increase <4 ng/L. Rule-in occurred with 0 h cMyC concentrations of at least 140 ng/L or 0/1 h increase ≥15 ng/L. In the validation cohort (n = 663), the 0/1h-cMyC-algorithm classified 347 patients (52.3%) as 'rule-out', 122 (18.4%) as 'rule-in', and 194 (29.3%) as 'observe'. Negative predictive value for NSTEMI was 99.6% [95% confidence interval (CI) 98.9-100%]; positive predictive value 71.1% (95% CI 63.1-79%). Direct comparison with the ESC hs-cTnT/I 0/1h-algorithms demonstrated comparable safety and even higher triage efficacy using the 0h-sample alone (48.1% vs. 21.2% for ESC hs-cTnT-0/1 h and 29.9% for ESC hs-cTnI-0/1 h; P < 0.001). CONCLUSION: The cMyC 0/1h-algorithm provided excellent safety and identified a greater proportion of patients suitable for direct rule-out or rule-in based on a single measurement than the ESC 0/1h-algorithm using hs-cTnT/I. TRIAL REGISTRATION: ClinicalTrials.gov number, NCT00470587.

Published
2022

38. Direct Comparison of Cardiac Myosin-Binding Protein C With Cardiac Troponins for the Early Diagnosis of Acute Myocardial Infarction

Author

Kaier, Thomas E., Twerenbold, Raphael, Puelacher, Christian, Marjot, Jack, Imambaccus, Nazia, Boeddinghaus, Jasper, Nestelberger, Thomas, Badertscher, Patrick, Sabti, Zaid, Giménez, Maria Rubini, Wildi, Karin, Hillinger, Petra, Grimm, Karin, Loeffel, Sarah, Shrestha, Samyut, Widmer, Dayana Flores, Cupa, Janosch, Kozhuharov, Nikola, Miró, Òscar, Martín-Sánchez, F. Javier, Morawiec, Beata, Rentsch, Katharina, Lohrmann, Jens, Kloos, Wanda, Osswald, Stefan, Reichlin, Tobias, Weber, Ekkehard, Marber, Michael, and Mueller, Christian

Published
2017
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39. Direct Comparison of 4 Very Early Rule-Out Strategies for Acute Myocardial Infarction Using High-Sensitivity Cardiac Troponin I

Author

Boeddinghaus, Jasper, Nestelberger, Thomas, Twerenbold, Raphael, Wildi, Karin, Badertscher, Patrick, Cupa, Janosch, Bürge, Tobias, Mächler, Patrick, Corbière, Sydney, Grimm, Karin, Giménez, Maria Rubini, Puelacher, Christian, Shrestha, Samyut, Flores Widmer, Dayana, Fuhrmann, Jakob, Hillinger, Petra, Sabti, Zaid, Honegger, Ursina, Schaerli, Nicolas, Kozhuharov, Nikola, Rentsch, Katharina, Miró, Òscar, López, Beatriz, Martin-Sanchez, F. Javier, Rodriguez-Adrada, Esther, Morawiec, Beata, Kawecki, Damian, Ganovská, Eva, Parenica, Jiri, Lohrmann, Jens, Kloos, Wanda, Buser, Andreas, Geigy, Nicolas, Keller, Dagmar I., Osswald, Stefan, Reichlin, Tobias, and Mueller, Christian

Published
2017
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40. Impact of haemoconcentration during acute heart failure therapy on mortality and its relationship with worsening renal function

Author

Breidthardt, Tobias, Weidmann, Zoraida Moreno, Twerenbold, Raphael, Gantenbein, Claudine, Stallone, Fabio, Rentsch, Katharina, Rubini Gimenez, Maria, Kozhuharov, Nikola, Sabti, Zaid, Breitenbücher, Dominik, Wildi, Karin, Puelacher, Christian, Honegger, Ursina, Wagener, Max, Schumacher, Carmela, Hillinger, Petra, Osswald, Stefan, and Mueller, Christian

Published
2017
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41. Additional file 1 of Recovery of organ-specific tissue oxygen delivery at restrictive transfusion thresholds after fluid treatment in ovine haemorrhagic shock

Author

Dyer, Wayne B., Simonova, Gabriela, Chiaretti, Sara, Bouquet, Mahe, Wellburn, Rebecca, Heinsar, Silver, Ainola, Carmen, Wildi, Karin, Sato, Kei, Livingstone, Samantha, Suen, Jacky Y., Irving, David O., Tung, John-Paul, li Bassi, Gianluigi, and Fraser, John F.

Subjects
digestive system, digestive system diseases
Abstract

Additional file 1: Method: high-resolution respirometry, and Figure S1: serum GGT and ALT.

Published
2022
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42. An appraisal of respiratory system compliance in mechanically ventilated covid-19 patients

Author

Li Bassi, Gianluigi, Suen, Jacky Y., Dalton, Heidi J., White, Nicole, Shrapnel, Sally, Fanning, Jonathon P., Liquet, Benoit, Hinton, Samuel, Vuorinen, Aapeli, Booth, Gareth, Millar, Jonathan E., Forsyth, Simon, Panigada, Mauro, Laffey, John, Brodie, Daniel, Fan, Eddy, Torres, Antoni, Chiumello, Davide, Corley, Amanda, Elhazmi, Alyaa, Hodgson, Carol, Ichiba, Shingo, Luna, Carlos, Murthy, Srinivas, Nichol, Alistair, Ng, Pauline Yeung, Ogino, Mark, Pesenti, Antonio, Trieu, Huynh Trung, Fraser, John F., Al-Dabbous, Tala, Alfoudri, Huda, Shamsah, Mohammed, Elapavaluru, Subbarao, Berg, Ashley, Horn, Christina, Schroll, Stephan, Velazco, Jorge, Fikes, Wanda, Ploskanych, Ludmyla, Meyer, Dan, Shalabi-McGuire, Maysoon, Witt, Trent, Ehlers, Ashley, Grazioli, Lorenzo, Grandin, E. Wilson, Nunez, Jose, Reyes, Tiago, Joseph, Mark, Mitchell, Brook, Tenzer, Martha, Abe, Ryuzo, Hayashi, Yosuke, Cho, Hwa Jin, Jeong, In Seok, Brozzi, Nicolas, Hernandez-Montfort, Jaime, Mehkri, Omar, Houltham, Stuart, Graf, Jerónimo, Perez, Rodrigo, Diaz, Roderigo, Delgado, Camila, González, Joyce, Sanchez, Maria Soledad, Rincón, Diego Fernando Bautista, Duque, Melissa Bustamante, Yanten, Angela Maria Marulanda, Brodie, Dan, Rusmawatiningtyas, Desy, Ragazzo, Gabrielle, Taufik, Azhari, Gunawan, Margaretha, Irawany, Vera, Rayhan, Muhammad, Wardoyo, Elizabeth Yasmin, Coppola, Silvia, Colombo, Sebastiano, Grasselli, Giacomo, Leone, Michela, Zanella, Alberto, Antonelli, Massimo, Carelli, Simone, Grieco, Domenico L., Asaki, Motohiro, Hoshino, Kota, Salazar, Leonardo, Duarte, Laura, McCaffrey, Joseph, Bone, Allison, Thomson, David, Arnold-Day, Christel, Cupido, Jerome, Fanie, Zainap, Miller, Malcom, Seymore, Lisa, van Straaten, Dawid, Hassan, Ibrahim, Hssain, Ali Ait, Aliudin, Jeffrey, Alqahtani, Al-Reem, Mohamed, Khoulod, Mohamed, Ahmed, Tan, Darwin, Villanueva, Joy, Zaqout, Ahmed, Kurtzman, Ethan, Ademi, Arben, Dobrita, Ana, Aoudi, Khadija El, Segura, Juliet, Giwangkancana, Gezy, Ohshimo, Shinichiro, Hoshino, Koji, Hitoshi, Saito, Uchinami, Yuka, Osatnik, Javier, Joosten, Anne, Motos, Ana, Yang, Minlan, Arancibia, Francisco, Williams, Virginie, Noel, Alexandre, Luque, Nestor, Trung, Trieu Huynh, Yacoub, Sophie, Fantini, Marina, García, Ruth Noemi Jorge, Alvarez, Enrique Chicote, Greti, Anna, Lomeli, Oscar, Ceccato, Adrian, Sanchez, Angel, Vazquez, Ana Loza, Roche-Campo, Ferran, Tuazon, Divina, Duculan, Toni, Shimizu, Hiroaki, Amato, Marcelo, Cassimiro, Luciana, Pola, Flavio, Ribeiro, Francis, Fonseca, Guilherme, Dalton, Heidi, Desai, Mehul, Osborn, Erik, Deeb, Hala, Arcadipane, Antonio, Bianco, Claudia, Cuffaro, Raffaele, Martucci, Gennaro, Occhipinti, Giovanna, Rossetti, Matteo, Vitiello, Chiara, Cho, Sung-Min, Calligy, Kate, Whitman, Glenn, Moriyama, Naoki, Kim, Jae-Burm, Kitamura, Nobuya, Shimazui, Takashi, Al-Hudaib, Abdullah, Gebauer, Johannes, Yokoyama, Toshiki, Al-Fares, Abdulrahman, Alamad, Esam, Alawadhi, Fatma, Alawadi, Kalthoum, Buabbas, Sarah, Tanaka, Hiro, Hashimoto, Satoru, Yamazaki, Masaki, Oh, Tak-Hyuck, Epler, Mark, Forney, Cathleen, Feister, Jared, Grobengieser, Katherine, Kruse, Louise, Williamson, Joelle, Gnall, Eric, Caroline, Mara, Golden, Sasha, Karaj, Colleen, McDermott, Sherry, Sher, Lynn, Shapiro, Timothy, Thome, Lisa, Vanderland, Mark, Welch, Mary, Brazzi, Luca, Ogston, Tawnya, Nagpal, Dave, Fischer, Karlee, Lorusso, Roberto, de Piero, Maria, Esperatti, Mariano, O’Briain, Diarmuid, Carton, Edmund G., Sen, Ayan, Palacios, Amanda, Rainey, Deborah, Seefeldt, Cassandra, Durham, Lucia, Falcucci, Octavio, Emmrich, Amanda, Guy, Jennifer, Johns, Carling, Neumann, Emily, Buchtele, Nina, Schwameis, Michael, Stecher, Stephanie-Susanne, Singh, Delila, Barnikel, Michaela, Arenz, Lukas, Zaaqoq, Akram, Galloway, Lan Anh, Merley, Caitlin, Csete, Marc, Quesada, Luisa, Saba, Isabela, Kasugai, Daisuke, Hiraiwa, Hiroaki, Tanaka, Taku, Marwali, Eva, Purnama, Yoel, Dewayanti, Santi Rahayu, Ardiyan, Siagian, Debby, Chen, Yih-Sharng, McNicholas, Bairbre, Cosgrave, David, VanDyk, Marlice, MacDonald, Sarah, Seppelt, Ian, Ratsep, Indrek, Enneveer, Lauri, Erikson, Kristo, Oigus, Getter, Post, Andra-Maris, Sillaots, Piret, Manetta, Frank, Komats, Mamoru, Satyapriya, S. Veena, Bhatt, Amar, Echeverria, Marco, Fiorda, Juan, Gonzalez, Alicia, Mokadam, Nahush A., McKeown, Johnny, Pasek, Joshua, Shi, Haixia, Uribe, Alberto, Moreno, Rita, Zakhary, Bishoy, Johnson, Hannah, Pow, Nolan, Cavana, Marco, Cucino, Alberto, Foti, Giuseppe, Giani, Marco, Russotto, Vincenzo, Castagna, Valentina, Dell’Amore, Andrea, Shum, Hoi-Ping, Vuysteke, Alain, Usman, Asad, Acker, Andrew, Mergler, Blake, Rizer, Nicolas, Sertic, Federico, Smood, Benjamin, Sperry, Alexandra, Subramanian, Madhu, Lolong, Navy, Akmal, Ernita, Burhan, Erlina, Rasmin, Menaldi, Naivedh, Bhat, Sitompu, Faya, Barrett, Peter, Daugherty, Julia, Dean, David, Loforte, Antonio, Khan, Irfan, DeSantis, Olivia, Quraishi, Mohammed Abraar, Salt, Gavin, So, Dominic, Kandamby, Darshana, Mandei, Jose M., Natanael, Hans, YudhaLantang, Eka, Lantang, Anastasia, Jung, Anna, Hammond, Terese, Ng, George, Ng, Wing Yiu, Yeung, Pauline, Adachi, Shingo, Blanco, Pablo, Prieto, Ana, Sánchez, Jesús, Nicholson, Meghan, Farquharson, Michael, Butt, Warwick, Serratore, Alyssa, Delzoppo, Carmel, Janin, Pierre, Yarad, Elizabeth, Totaro, Richard, Coles, Jennifer, Balk, Robert, Fox, Samuel, Hays, James, Kapania, Esha, Mishin, Pavel, Vissing, Andy, Yantosh, Garrett, Yuliarto, Saptadi, Santoso, Kohar Hari, Djajalaksana, Susanthy, Fatoni, Arie Zainul, Fukuda, Masahiro, Liu, Keibun, Pelosi, Paolo, Battaglini, Denise, Jiménez, Juan Fernando Masa, Gaião, Sérgio, Roncon-Albuquerque, Roberto, Buchner, Jessica, Cho, Young-Jae, Lee, Sang Min, Lee, Su Hwan, Kawasaki, Tatsuya, Sakiyalak, Pranya, Nitayavardhana, Prompak, Seitz, Tamara, Arora, Rakesh, Kent, David, Parwar, Swapnil, Cheng, Andrew, Miller, Jennene, Marino, Daniel, Deacon, Jillian E., Fujitani, Shigeki, Shimizu, Naoki, Madhok, Jai, Owyang, Clark, Buscher, Hergen, Reynolds, Claire, Maasikas, Olavi, Beljantsev, Aleksandr, Mihnovits, Vladislav, Akimoto, Takako, Aizawa, Mariko, Horibe, Kanako, Onodera, Ryota, Young, Meredith, Smith, Timothy, Bartone, Cheryl, George, Timothy, Shekar, Kiran, McGuinness, Niki, Irvine, Lacey, Flynn, Brigid, Houchin, Abigail, Shimizu, Keiki, Hamaguchi, Jun, Lussier, Leslie, Kersker, Grace, Reich, John Adam, Lotz, Gösta, Malfertheiner, Maximilian, Dreier, Esther, Maier, Lars, Kusumastuti, Neurinda Permata, McCloskey, Colin, Dabaliz, Al-Awwab, Elshazly, Tarek B., Smith, Josiah, Szuldrzynski, Konstanty S., Bielański, Piotr, Hakeem, Yusuff, Wille, Keith, Holt, Rebecca, Parhar, Ken Kuljit S., Fiest, Kirsten M., Codan, Cassidy, Shahid, Anmol, Fayed, Mohamed, Evans, Timothy, Garcia, Rebekah, Gutierrez, Ashley, Song, Tae, Rose, Rebecca, Bennett, Suzanne, Richardson, Denise, Peek, Giles, Lopez-Colon, Dalia, Arora, Lovkesh, Rappapport, Kristina, Rudolph, Kristina, Sibenaller, Zita, Stout, Lori, Walter, Alicia, Herr, Daniel, Vedadi, Nazli, Sindt, Lace, Ewald, Cale, Hoffman, Julie, Rajnic, Sean, Thompson, Shaun, Kennedy, Ryan, Griffee, Matthew, Ciullo, Anna, Kida, Yuri, Roca, Ricard Ferrer, Alegre, Cynthia, Contreras, Sofia, Riera, JordI, Kay, Christy, Fischer, Irene, Renner, Elizabeth, Taniguci, Hayato, Abbate, Gabriella, Hassan, Halah, Heinsar, Silver, Karnik, Varun A., Ki, Katrina, O’Neill, Hollier F., Obonyo, Nchafatso, Pimenta, Leticia Pretti, Reid, Janice D., Sato, Kei, Wildi, Karin S., Wood, Emily S., Yerkovich, Stephanie, RS: Carim - V04 Surgical intervention, CTC, MUMC+: MA Med Staf Spec CTC (9), and Consortium, COVID-19 Critical Care

Subjects
Male, medicine.medical_treatment, ARDS, COVID-19, Compliance, Mechanical ventilation, SARS-CoV-2, Adult, Cohort Studies, Critical Care, Europe, Female, Humans, Intensive Care Units, Lung Compliance, Middle Aged, Respiration, Artificial, Respiratory Distress Syndrome, Retrospective Studies, Severity of Illness Index, Complications (Medicine), Overweight, Pulmonary compliance, Respiració artificial, Critical Care and Intensive Care Medicine, Hypoxemia, Respiratory Distress Syndrome/etiology, Clinical trials, 0302 clinical medicine, Medicine, 030212 general & internal medicine, Respiratory system, Unitats de cures intensives, Artificial/methods, Tidal volume, Intensive care units, Respiration, Critical Care/methods, Medical emergencies. Critical care. Intensive care. First aid, respiratory system, DISTRESS-SYNDROME, Artificial respiration, Artificial, COVID-19/complications, Lung Compliance/physiology, medicine.symptom, Cohort study, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Respiration, Artificial/methods, INTENSIVE-CARE, 03 medical and health sciences, Intensive care, Internal medicine, Severity of illness, otorhinolaryngologic diseases, Intensive care medicine, RC86-88.9, business.industry, Research, MORTALITY, 030208 emergency & critical care medicine, Retrospective cohort study, Coronavirus, Compliance (physiology), Complicacions (Medicina), business, Body mass index, Assaigs clínics
Abstract

Background Heterogeneous respiratory system static compliance (CRS) values and levels of hypoxemia in patients with novel coronavirus disease (COVID-19) requiring mechanical ventilation have been reported in previous small-case series or studies conducted at a national level. Methods We designed a retrospective observational cohort study with rapid data gathering from the international COVID-19 Critical Care Consortium study to comprehensively describe CRS—calculated as: tidal volume/[airway plateau pressure-positive end-expiratory pressure (PEEP)]—and its association with ventilatory management and outcomes of COVID-19 patients on mechanical ventilation (MV), admitted to intensive care units (ICU) worldwide. Results We studied 745 patients from 22 countries, who required admission to the ICU and MV from January 14 to December 31, 2020, and presented at least one value of CRS within the first seven days of MV. Median (IQR) age was 62 (52–71), patients were predominantly males (68%) and from Europe/North and South America (88%). CRS, within 48 h from endotracheal intubation, was available in 649 patients and was neither associated with the duration from onset of symptoms to commencement of MV (p = 0.417) nor with PaO2/FiO2 (p = 0.100). Females presented lower CRS than males (95% CI of CRS difference between females-males: − 11.8 to − 7.4 mL/cmH2O p CRS was marginal (p = 0.139). Ventilatory management varied across CRS range, resulting in a significant association between CRS and driving pressure (estimated decrease − 0.31 cmH2O/L per mL/cmH20 of CRS, 95% CI − 0.48 to − 0.14, p CRS (+ 10 mL/cm H2O) was only associated with being discharge from the ICU within 28 days (HR 1.14, 95% CI 1.02–1.28, p = 0.018). Conclusions This multicentre report provides a comprehensive account of CRS in COVID-19 patients on MV. CRS measured within 48 h from commencement of MV has marginal predictive value for 28-day mortality, but was associated with being discharged from ICU within the same period. Trial documentation: Available at https://www.covid-critical.com/study. Trial registration: ACTRN12620000421932.

Published
2021

43. Characterizing preclinical sub‐phenotypic models of acute respiratory distress syndrome: An experimental ovine study

Author

Millar, Jonathan E., primary, Wildi, Karin, additional, Bartnikowski, Nicole, additional, Bouquet, Mahe, additional, Hyslop, Kieran, additional, Passmore, Margaret R., additional, Ki, Katrina K., additional, See Hoe, Louise E., additional, Obonyo, Nchafatso G., additional, Neyton, Lucile, additional, Pedersen, Sanne, additional, Rozencwajg, Sacha, additional, Baillie, J. Kenneth, additional, Li Bassi, Gianluigi, additional, Suen, Jacky Y., additional, McAuley, Daniel F., additional, and Fraser, John F., additional

Published
2021
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44. Design and Rationale of a Prospective International Follow-Up Study on Intensive Care Survivors of COVID-19: The Long-Term Impact in Intensive Care Survivors of Coronavirus Disease-19–AFTERCOR

Author

Wildi, Karin, primary, Li Bassi, Gianluigi, additional, Barnett, Adrian, additional, Panigada, Mauro, additional, Colombo, Sebastiano M., additional, Bandera, Alessandra, additional, Muscatello, Antonio, additional, McNicholas, Bairbre, additional, Laffey, John G., additional, Battaglini, Denise, additional, Robba, Chiara, additional, Torres, Antoni, additional, Motos, Ana, additional, Luna, Carlos M., additional, Rainieri, Fernando, additional, Hodgson, Carol, additional, Burrell, Aidan J. C., additional, Buscher, Hergen, additional, Dalton, Heidi, additional, Cho, Sung-Min, additional, Choi, Huimahn Alex, additional, Thomson, David, additional, Suen, Jacky, additional, and Fraser, John F., additional

Published
2021
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46. Prospective validation of a 1-hour algorithm to rule-out and rule-in acute myocardial infarction using a high-sensitivity cardiac troponin T assay

Author

Reichlin, Tobias, Twerenbold, Raphael, Wildi, Karin, Gimenez, Maria Rubini, Bergsma, Nathalie, Haaf, Philip, Druey, Sophie, Puelacher, Christian, Moehring, Berit, Freese, Michael, Stelzig, Claudia, Krivoshei, Lian, Hillinger, Petra, Jager, Cedric, Herrmann, Thomas, Kreutzinger, Philip, Radosavac, Milos, Weidmann, Zoraida Moreno, Pershyna, Kateryna, Honegger, Ursina, Wagener, Max, Vuillomenet, Thierry, Campodarve, Isabel, Bingisser, Roland, Miro, Oscar, Rentsch, Katharina, Bassetti, Stefano, Osswald, Stefan, and Mueller, Christian

Subjects
Novartis AG, Heart attack -- Diagnosis, Mortality -- Switzerland -- Spain, Algorithms, Pharmaceutical industry, Algorithm, Health
Abstract

Background: We aimed to prospectively validate a novel 1-hour algorithm using high-sensitivity cardiac troponin T measurement for early rule-out and rule-in of acute myocardial infarction (MI). Methods: In a multicentre study, we enrolled 1320 patients presenting to the emergency department with suspected acute MI. The high-sensitivity cardiac troponin T 1-hour algorithm, incorporating baseline values as well as absolute changes within the first hour, was validated against the final diagnosis. The final diagnosis was then adjudicated by 2 independent cardiologists using all available information, including coronary angiography, echocardiography, follow-up data and serial measurements of high-sensitivity cardiac troponin T levels. Results: Acute MI was the final diagnosis in 17.3% of patients. With application of the high-sensitivity cardiac troponin T 1-hour algorithm, 786 (59.5%) patients were classified as 'rule-out,' 216 (16.4%) were classified as 'rule-in' and 318 (24.1%) were classified to the 'observational zone.' The sensitivity and the negative predictive value for acute MI in the rule-out zone were 99.6% (95% confidence interval [CI] 97.6%-99.9%) and 99.9% (95% CI 99.3%-100%), respectively. The specificity and the positive predictive value for acute MI in the rule-in zone were 95.7% (95% CI 94.3%-96.8%) and 78.2% (95% CI 72.1%-83.6%), respectively. The 1-hour algorithm provided higher negative and positive predictive values than the standard interpretation of high-sensitivity cardiac troponin T using a single cutoff level (both p < 0.05). Cumulative 30-day mortality was 0.0%, 1.6% and 1.9% in patients classified in the rule-out, observational and rule-in groups, respectively (p = 0.001). Interpretation: This rapid strategy incorporating high-sensitivity cardiac troponin T baseline values and absolute changes within the first hour substantially accelerated the management of suspected acute MI by allowing safe rule-out as well as accurate rule-in of acute MI in 3 out of 4 patients. Trial registration: Clinical Trials.gov, NCT00470587, Acute myocardial infarction (MI) is a major cause of death and disability worldwide. As highly effective treatments are available, early and accurate detection of acute MI is crucial. (1-5) Clinical [...]

Published
2015
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47. An Ovine Model of Hemorrhagic Shock and Resuscitation, to Assess Recovery of Tissue Oxygen Delivery and Oxygen Debt, and Inform Patient Blood Management

Author

Dyer, Wayne B., primary, Tung, John-Paul, additional, Li Bassi, Gianluigi, additional, Wildi, Karin, additional, Jung, Jae-Seung, additional, Colombo, Sebastiano Maria, additional, Rozencwajg, Sacha, additional, Simonova, Gabriela, additional, Chiaretti, Sara, additional, Temple, Fergal T., additional, Ainola, Carmen, additional, Shuker, Tristan, additional, Palmieri, Chiara, additional, Shander, Aryeh, additional, Suen, Jacky Y., additional, Irving, David O., additional, and Fraser, John F., additional

Published
2021
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48. External Validation of the No Objective Testing Rules in Acute Chest Pain

Author

Ratmann, Paul David, primary, Boeddinghaus, Jasper, additional, Nestelberger, Thomas, additional, Lopez‐Ayala, Pedro, additional, Koechlin, Luca, additional, Wildi, Karin, additional, Miro, Oscar, additional, Martín‐Sánchez, F. Javier, additional, Christ, Michael, additional, Twerenbold, Raphael, additional, Rubini Gimenez, Maria, additional, Keller, Dagmar I., additional, Mueller, Christian, additional, Troester, Valentina, additional, Meier, Mario, additional, Puelacher, Christian, additional, du Fay de Lavallaz, Jeanne, additional, Potlukova, Eliska, additional, Badertscher, Patrick, additional, Arslani, Ketina, additional, Freese, Michael, additional, Michou, Eleni, additional, Flores, Dayana, additional, Lohrmann, Jens, additional, Rentsch, Katharina, additional, Reichlin, Tobias, additional, López, Beatriz, additional, Fuenzalida, Carolina, additional, Rodriguez Adrada, Esther, additional, Ganovská, Eva, additional, Parenica, Jiri, additional, von Eckardstein, Arnold, additional, Morawiec, Beata, additional, Kawecki, Damian, additional, Muzyk, Piotr, additional, Bürgler, Franz, additional, and Geigy, Nicolas, additional

Published
2021
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49. Design and Rationale of a Prospective International Follow-Up Study on Intensive Care Survivors of COVID-19 : The Long-Term Impact in Intensive Care Survivors of Coronavirus Disease-19–AFTERCOR

Author

Wildi, Karin, Li Bassi, Gianluigi, Barnett, Adrian, Panigada, Mauro, Colombo, Sebastiano M., Bandera, Alessandra, Muscatello, Antonio, McNicholas, Bairbre, Laffey, John G., Battaglini, Denise, Robba, Chiara, Torres, Antoni, Motos, Ana, Luna, Carlos M., Rainieri, Fernando, Hodgson, Carol, Burrell, Aidan J.C., Buscher, Hergen, Dalton, Heidi, Cho, Sung Min, Choi, Huimahn Alex, Thomson, David, Suen, Jacky, Fraser, John F., Wildi, Karin, Li Bassi, Gianluigi, Barnett, Adrian, Panigada, Mauro, Colombo, Sebastiano M., Bandera, Alessandra, Muscatello, Antonio, McNicholas, Bairbre, Laffey, John G., Battaglini, Denise, Robba, Chiara, Torres, Antoni, Motos, Ana, Luna, Carlos M., Rainieri, Fernando, Hodgson, Carol, Burrell, Aidan J.C., Buscher, Hergen, Dalton, Heidi, Cho, Sung Min, Choi, Huimahn Alex, Thomson, David, Suen, Jacky, and Fraser, John F.

Abstract

Background: In a disease that has only existed for 18 months, it is difficult to be fully informed of the long-term sequelae of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Evidence is growing that most organ systems can be affected by the virus, causing severe disabilities in survivors. The extent of the aftermath will declare itself over the next 5–10 years, but it is likely to be substantial with profound socio-economic impact on society. Methods: This is an international multi-center, prospective long-term follow-up study of patients who developed severe coronavirus disease-2019 (COVID-19) and were admitted to Intensive Care Units (ICUs). The study will be conducted at international tertiary hospitals. Patients will be monitored from time of ICU discharge up to 24 months. Information will be collected on demographics, co-existing illnesses before ICU admission, severity of illness during ICU admission and post-ICU quality of life as well as organ dysfunction and recovery. Statistical analysis will consist of patient trajectories over time for the key variables of quality of life and organ function. Using latent class analysis, we will determine if there are distinct patterns of patients in terms of recovery. Multivariable regression analyses will be used to examine associations between baseline characteristics and severity variables upon admission and discharge in the ICU, and how these impact outcomes at all follow-up time points up to 2 years. Ethics and Dissemination: The core study team and local principal investigators will ensure that the study adheres to all relevant national and local regulations, and that the necessary approvals are in place before a site may enroll patients. Clinical Trial Registration: anzctr.org.au: ACTRN12620000799954.

Published
2021

50. Characterizing preclinical sub-phenotypic models of acute respiratory distress syndrome: An experimental ovine study

Author

Millar, Jonathan E., Wildi, Karin, Bartnikowski, Nicole, Bouquet, Mahe, Hyslop, Kieran, Passmore, Margaret R., Ki, Katrina K., See Hoe, Louise E., Obonyo, Nchafatso G., Neyton, Lucile, Pedersen, Sanne, Rozencwajg, Sacha, Baillie, J. Kenneth, Li Bassi, Gianluigi, Suen, Jacky Y., McAuley, Daniel F., Fraser, John F., Millar, Jonathan E., Wildi, Karin, Bartnikowski, Nicole, Bouquet, Mahe, Hyslop, Kieran, Passmore, Margaret R., Ki, Katrina K., See Hoe, Louise E., Obonyo, Nchafatso G., Neyton, Lucile, Pedersen, Sanne, Rozencwajg, Sacha, Baillie, J. Kenneth, Li Bassi, Gianluigi, Suen, Jacky Y., McAuley, Daniel F., and Fraser, John F.

Abstract

The acute respiratory distress syndrome (ARDS) describes a heterogenous population of patients with acute severe respiratory failure. However, contemporary advances have begun to identify distinct sub-phenotypes that exist within its broader envelope. These sub-phenotypes have varied outcomes and respond differently to several previously studied interventions. A more precise understanding of their pathobiology and an ability to prospectively identify them, may allow for the development of precision therapies in ARDS. Historically, animal models have played a key role in translational research, although few studies have so far assessed either the ability of animal models to replicate these sub-phenotypes or investigated the presence of sub-phenotypes within animal models. Here, in three ovine models of ARDS, using combinations of oleic acid and intravenous, or intratracheal lipopolysaccharide, we investigated the presence of sub-phenotypes which qualitatively resemble those found in clinical cohorts. Principal Component Analysis and partitional clustering identified two clusters, differentiated by markers of shock, inflammation, and lung injury. This study provides a first exploration of ARDS phenotypes in preclinical models and suggests a methodology for investigating this phenomenon in future studies.

Published
2021

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