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79 results on '"Khan, Muhammad Shahzeb"'

1. Percutaneous repair of moderate‐to‐severe or severe functional mitral regurgitation in patients with symptomatic heart failure: Baseline characteristics of patients in the RESHAPE‐HF2 trial and comparison to COAPT and MITRA‐FR trials

Author

Anker, Stefan D., primary, Friede, Tim, additional, von Bardeleben, Ralph Stephan, additional, Butler, Javed, additional, Khan, Muhammad Shahzeb, additional, Diek, Monika, additional, Heinrich, Jutta, additional, Geyer, Martin, additional, Placzek, Marius, additional, Ferrari, Roberto, additional, Abraham, William T., additional, Alfieri, Ottavio, additional, Auricchio, Angelo, additional, Bayes‐Genis, Antoni, additional, Cleland, John G.F., additional, Filippatos, Gerasimos, additional, Gustafsson, Finn, additional, Haverkamp, Wilhelm, additional, Kelm, Malte, additional, Kuck, Karl‐Heinz, additional, Landmesser, Ulf, additional, Maggioni, Aldo P., additional, Metra, Marco, additional, Ninios, Vlasis, additional, Petrie, Mark C., additional, Rassaf, Tienush, additional, Ruschitzka, Frank, additional, Schäfer, Ulrich, additional, Schulze, P. Christian, additional, Spargias, Konstantinos, additional, Vahanian, Alec, additional, Zamorano, Jose Luis, additional, Zeiher, Andreas, additional, Karakas, Mahir, additional, Koehler, Friedrich, additional, Lainscak, Mitja, additional, Öner, Alper, additional, Mezilis, Nikolaos, additional, Theofilogiannakos, Efstratios K, additional, Ninios, Ilias, additional, Chrissoheris, Michael, additional, Kourkoveli, Panagiota, additional, Papadopoulos, Konstantinos, additional, Smolka, Grzegorz, additional, Wojakowski, Wojciech, additional, Reczuch, Krzysztof, additional, Pinto, Fausto J., additional, Zmudka, Krzysztof, additional, Kalarus, Zbigniew, additional, Adamo, Marianna, additional, Santiago‐Vacas, Evelyn, additional, Ruf, Tobias Friedrich, additional, Gross, Michael, additional, Tongers, Joern, additional, Hasenfuß, Gerd, additional, Schillinger, Wolfgang, additional, and Ponikowski, Piotr, additional

Published
2024
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2. Association of diabetes‐specific heart failure risk score with presence of subclinical cardiomyopathy among individuals with diabetes: A prospective study

Author

Chunawala, Zainali S., primary, Keshvani, Neil, additional, Segar, Matthew W., additional, Patel, Kershaw V., additional, Usman, Muhammad Shariq, additional, Subramanian, Vinayak, additional, Raygor, Viraj, additional, Chandra, Alvin, additional, Khan, Muhammad Shahzeb, additional, and Pandey, Ambarish, additional

Published
2024
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3. The effect of sodium–glucose cotransporter 2 inhibitors on left cardiac remodelling in heart failure with reduced ejection fraction: Systematic review and meta‐analysis

Author

Usman, Muhammad Shariq, primary, Januzzi, James L., additional, Anker, Stefan D., additional, Salman, Ali, additional, Parikh, Puja B., additional, Adamo, Marianno, additional, Filippatos, Gerasimos, additional, Khan, Muhammad Shahzeb, additional, Lala, Anuradha, additional, Verma, Subodh, additional, Metra, Marco, additional, and Butler, Javed, additional

Published
2024
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10. Weight change and clinical outcomes in heart failure with reduced ejection fraction: insights from EMPEROR‐Reduced

Author

Anker, Stefan D., primary, Khan, Muhammad Shahzeb, additional, Butler, Javed, additional, Ofstad, Anne Pernille, additional, Peil, Barbara, additional, Pfarr, Egon, additional, Doehner, Wolfram, additional, Sattar, Naveed, additional, Coats, Andrew J. S., additional, Filippatos, Gerasimos, additional, Ferreira, João Pedro, additional, Zannad, Faiez, additional, Pocock, Stuart, additional, and Packer, Milton, additional

Published
2022
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12. Responder analysis for improvement in six‐minute walk test with ferric carboxymaltose in patients with heart failure with reduced ejection fraction and iron deficiency

Author

Anker, Stefan D., Ponikowski, Piotr, Khan, Muhammad Shahzeb, Friede, Tim, Jankowska, Ewa A., Fabien, Vincent, Goehring, Udo Michael, Metra, Marco, Piña, Ileana L, Coats, Andrew J. S., Rosano, Giuseppe, Dorigotti, Fabio, Comín Colet, Josep, Van Veldhuisen, Dirk J, Filippatos, Gerasimos S., and Butler, Javed

Subjects
Dèficit de ferro, Anèmia, Iron deficiency diseases, Heart failure, Anemia, Insuficiència cardíaca
Abstract

Aim Improving functional capacity is a key goal in heart failure (HF). This pooled analysis of FAIR-HF and CONFIRM-HF assessed the likelihood of improvement or deterioration in 6-min walk test (6MWT) among iron-deficient patients with chronic HF with reduced ejection fraction (HFrEF) receiving ferric carboxymaltose (FCM). Methods and results Data for 760 patients (FCM: n = 454; placebo: n = 306) were analysed. The proportions of patients receiving FCM or placebo who had >= 20, >= 30, and >= 40 m improvements or >= 10 m deterioration in 6MWT at 12 and 24 weeks were assessed. Patients receiving FCM experienced a mean (standard deviation) 31.1 (62.3) m improvement in 6MWT versus 0.1 (77.1) m improvement for placebo at week 12 (difference in mean changes 26.8 [16.6;37.0]). At week 12, the odds [95% confidence interval] of 6MWT improvements of >= 20 m (odds ratio 2.16 [1.57-2.96]; p < 0.0001), >= 30 m (2.00 [1.44-2.78]; p < 0.0001), and >= 40 m (2.29 [1.60-3.27]; p < 0.0001) were greater with FCM versus placebo, while the odds of a deterioration >= 10 m were reduced with FCM versus placebo (0.55 [0.38-0.80]; p = 0.0019). Among patients who experienced 6MWT improvements of >= 20, >= 30, or >= 40 m with FCM at week 12, more than 80% sustained this improvement at week 24. Conclusion Ferric carboxymaltose resulted in a significantly higher likelihood of improvement and a reduced likelihood of deterioration in 6MWT versus placebo among iron-deficient patients with HF. Of the patients experiencing clinically significant improvements at week 12, the majority sustained this improvement at week 24. These results are supportive of FCM to improve exercise capacity in HF.

Published
2022

14. Responder analysis for improvement in 6‐min walk test with ferric carboxymaltose in patients with heart failure with reduced ejection fraction and iron deficiency

Author

Anker, Stefan D., primary, Ponikowski, Piotr, additional, Khan, Muhammad Shahzeb, additional, Friede, Tim, additional, Jankowska, Ewa A., additional, Fabien, Vincent, additional, Goehring, Udo‐Michael, additional, Metra, Marco, additional, Piña, Ileana L., additional, Coats, Andrew J.S., additional, Rosano, Giuseppe, additional, Dorigotti, Fabio, additional, Comin‐Colet, Josep, additional, Van Veldhuisen, Dirk J., additional, Filippatos, Gerasimos S., additional, and Butler, Javed, additional

Published
2022
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15. Health status improvement with ferric carboxymaltose in heart failure with reduced ejection fraction and iron deficiency

Author

Butler, Javed, primary, Khan, Muhammad Shahzeb, additional, Friede, Tim, additional, Jankowska, Ewa A., additional, Fabien, Vincent, additional, Goehring, Udo‐Michael, additional, Dorigotti, Fabio, additional, Metra, Marco, additional, Piña, Ileana L., additional, Coats, Andrew J.S., additional, Rosano, Giuseppe, additional, Comin‐Colet, Josep, additional, Van Veldhuisen, Dirk J., additional, Filippatos, Gerasimos S., additional, Anker, Stefan D., additional, and Ponikowski, Piotr, additional

Published
2022
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19. Optical coherence tomography versus angiography and intravascular ultrasound to guide coronary stent implantation: A systematic review and meta‐analysis

Author

Siddiqi, Tariq Jamal, primary, Khan, Muhammad Shahzeb, additional, Karimi Galougahi, Keyvan, additional, Shlofmitz, Evan, additional, Moses, Jeffrey W., additional, Rao, Sunil, additional, West, Nick E. J., additional, Wolff, Eric, additional, Hochler, Jason, additional, Chau, Karen, additional, Khalique, Omar, additional, Shlofmitz, Richard A., additional, Jeremias, Allen, additional, and Ali, Ziad A., additional

Published
2022
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20. Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia

Author

Segar, Matthew W., primary, Khan, Muhammad Shahzeb, additional, Patel, Kershaw V., additional, Vaduganathan, Muthiah, additional, Kannan, Vaishnavi, additional, Willett, Duwayne, additional, Peterson, Eric, additional, Tang, W.H. Wilson, additional, Butler, Javed, additional, Everett, Brendan M., additional, Fonarow, Gregg C., additional, Wang, Thomas J., additional, McGuire, Darren K., additional, and Pandey, Ambarish, additional

Published
2021
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23. Dietary interventions and nutritional supplements for heart failure: a systematic appraisal and evidence map

Author

Khan, Muhammad Shahzeb, primary, Khan, Fiza, additional, Fonarow, Gregg C., additional, Sreenivasan, Jayakumar, additional, Greene, Stephen J., additional, Khan, Safi U., additional, Usman, Muhammad Shariq, additional, Vaduganathan, Muthiah, additional, Fudim, Marat, additional, Anker, Stefan D., additional, and Butler, Javed, additional

Published
2021
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29. Representation of women, older patients, ethnic, and racial minorities in trials of atrial fibrillation

Author

Khan, Muhammad Zia, primary, Munir, Muhammad Bilal, additional, Khan, Safi U., additional, Subramanian, Charumathi Raghu, additional, Khan, Muhammad Usman, additional, Asad, Zain Ul Abideen, additional, Talluri, Swapna, additional, Madhanakumar, Aarthi, additional, Lone, Ahmad Naeem, additional, Khan, Muhammad Shahzeb, additional, Michos, Erin D., additional, and Alkhouli, Mohamad, additional

Published
2021
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32. Reporting and interpretation of subgroup analyses in heart failure randomized controlled trials

Author

Khan, Muhammad Shahzeb, primary, Khan, Muhammad Arbaz Arshad, additional, Irfan, Simra, additional, Siddiqi, Tariq Jamal, additional, Greene, Stephen J., additional, Anker, Stefan D., additional, Sreenivasan, Jayakumar, additional, Friede, Tim, additional, Tahhan, Ayman Samman, additional, Vaduganathan, Muthiah, additional, Fonarow, Gregg C., additional, and Butler, Javed, additional

Published
2020
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34. Rate, causes, and predictors of 90‐day readmissions and the association with index hospitalization coronary revascularization following non‐ST elevation myocardial infarction in the United States

Author

Sreenivasan, Jayakumar, primary, Abu‐Haniyeh, Ahmed, additional, Hooda, Urvashi, additional, Khan, Muhammad Shahzeb, additional, Aronow, Wilbert S., additional, Michos, Erin D., additional, Cooper, Howard A., additional, and Panza, Julio A., additional

Published
2020
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35. Management of heart failure patients withCOVID‐19: a joint position paper of the Chinese Heart Failure Association & National Heart Failure Committee and the Heart Failure Association of the European Society of Cardiology

Author

Zhang, Yuhui, primary, Coats, Andrew J.S., additional, Zheng, Zhe, additional, Adamo, Marianna, additional, Ambrosio, Giuseppe, additional, Anker, Stefan D., additional, Butler, Javed, additional, Xu, Dingli, additional, Mao, Jingyuan, additional, Khan, Muhammad Shahzeb, additional, Bai, Ling, additional, Mebazaa, Alexandre, additional, Ponikowski, Piotr, additional, Tang, Qizhu, additional, Ruschitzka, Frank, additional, Seferovic, Petar, additional, Tschöpe, Carsten, additional, Zhang, Shuyang, additional, Gao, Chuanyu, additional, Zhou, Shenghua, additional, Senni, Michele, additional, Zhang, Jian, additional, and Metra, Marco, additional

Published
2020
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41. Global longitudinal strain assessment of the left ventricle by speckle tracking echocardiography detects acute cellular rejection in orthotopic heart transplant recipients: A systematic review and meta‐analysis

Author

Elkaryoni, Ahmed, primary, Altibi, Ahmed M., additional, Khan, Muhammad Shahzeb, additional, Okasha, Osama, additional, Ellakany, Karim, additional, Hassan, Adil, additional, Singh, Annapoorna, additional, Qarajeh, Raed, additional, Mehta, Shrushti, additional, and Nanda, Navin C., additional

Published
2020
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42. Left atrial function in heart failure with preserved ejection fraction: a systematic review and meta‐analysis

Author

Khan, Muhammad Shahzeb, primary, Memon, Muhammad Mustafa, additional, Murad, Mohammad H., additional, Vaduganathan, Muthiah, additional, Greene, Stephen J., additional, Hall, Michael, additional, Triposkiadis, Filippos, additional, Lam, Carolyn S.P., additional, Shah, Amil M., additional, Butler, Javed, additional, and Shah, Sanjiv J., additional

Published
2020
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45. Safety and efficacy of transcatheter aortic valve replacement for native aortic valve regurgitation: A systematic review and meta‐analysis

Author

Rawasia, Wasiq Faraz, primary, Khan, Muhammad Shahzeb, additional, Usman, Muhammad Shariq, additional, Siddiqi, Tariq Jamal, additional, Mujeeb, Firzah Abdul, additional, Chundrigar, Mohsin, additional, Kalra, Ankur, additional, Alkhouli, Mohamad, additional, Kavinsky, Clifford J, additional, and Bhatt, Deepak L., additional

Published
2018
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47. Clinical outcomes associated with per-operative discontinuation of aspirin in patients with coronary artery disease: A systematic review and meta-analysis

Author

Luni, Faraz Khan, primary, Riaz, Haris, additional, Khan, Abdur Rahman, additional, Riaz, Talha, additional, Husnain, Muhammad, additional, Riaz, Irbaz Bin, additional, Khan, Muhammad Shahzeb, additional, Taleb, Mohammed, additional, Kanjwal, Yusuf, additional, Cooper, Christopher J., additional, and Khuder, Sadik A., additional

Published
2016
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48. Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.

Author

Segar MW, Usman MS, Patel KV, Khan MS, Butler J, Manjunath L, Lam CSP, Verma S, Willett D, Kao D, Januzzi JL, and Pandey A

Abstract

Aims: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abnormalities that precede the development of clinical heart failure (HF), is lacking. In this study, we developed and validated a machine learning-based clustering approach to identify the high-risk DbCM phenotype based on echocardiographic and cardiac biomarker parameters., Methods and Results: Among individuals with diabetes from the Atherosclerosis Risk in Communities (ARIC) cohort who were free of cardiovascular disease and other potential aetiologies of cardiomyopathy (training, n = 1199), unsupervised hierarchical clustering was performed using echocardiographic parameters and cardiac biomarkers of neurohormonal stress and chronic myocardial injury (total 25 variables). The high-risk DbCM phenotype was identified based on the incidence of HF on follow-up. A deep neural network (DeepNN) classifier was developed to predict DbCM in the ARIC training cohort and validated in an external community-based cohort (Cardiovascular Health Study [CHS]; n = 802) and an electronic health record (EHR) cohort (n = 5071). Clustering identified three phenogroups in the derivation cohort. Phenogroup-3 (n = 324, 27% of the cohort) had significantly higher 5-year HF incidence than other phenogroups (12.1% vs. 4.6% [phenogroup 2] vs. 3.1% [phenogroup 1]) and was identified as the high-risk DbCM phenotype. The key echocardiographic predictors of high-risk DbCM phenotype were higher NT-proBNP levels, increased left ventricular mass and left atrial size, and worse diastolic function. In the CHS and University of Texas (UT) Southwestern EHR validation cohorts, the DeepNN classifier identified 16% and 29% of participants with DbCM, respectively. Participants with (vs. without) high-risk DbCM phenotype in the external validation cohorts had a significantly higher incidence of HF (hazard ratio [95% confidence interval] 1.61 [1.18-2.19] in CHS and 1.34 [1.08-1.65] in the UT Southwestern EHR cohort)., Conclusion: Machine learning-based techniques may identify 16% to 29% of individuals with diabetes as having a high-risk DbCM phenotype who may benefit from more aggressive implementation of HF preventive strategies., (© 2024 The Author(s). European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Published
2024
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