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Pugliese, Nicola Riccardo

0000-0002-5473-227X

Mayo Clinic

University of Pisa

Citations 9

Global Burden of Elevated LDL-C
Collaborators, GBD 2023 LDL Cholesterol, Razo, Christian, DeCleene, Nicole K., Johnson, Catherine O., Stark, Benjamin, LeGrand, Kate, Aalruz, Hasan, Abaraogu, Ukachukwu O., Abdelnabi, Mahmoud, Abd-Elsalam, Sherief, Abdelwahab, Siddig Ibrahim, Abdollahi, Arash, Abdrabou, Mostafa M., Abdul‐Rahman, Toufik , Getahun, Habtamu Abebe, Abiodun, Olumide, Abohashem, Shady, Abonie, Ulric Sena , Abourashed, Nagah M , Abramov, Dmitry, Abrar, Mohammed Mehdi, Farha, Rana Kamal Abu, Abubakar, Bilyaminu, Aburuz, Salahdein, Abushanab, Dina, Adams, Lisa C., Adamu, Nuhu Lawan Lawan, Adegbile, Oluwatobi E , Adegoke, Nurudeen A., Adekola, Saheed Ayodeji, Adeleke, Olumide Thomas , Adesina, Miracle Ayomikun, Afoakwah, Clifford, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh , Afrifa-Yamoah, Ebenezer, Agyemang‐Duah, Williams , Ahmad, Suhaib, Ahmed, Asma , Ahmed, Gasha Salih, Ahmed, Luai A., Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh , Ahmed, M. , Ahmed, Mushood, Ahmed, Syed Anees, Ahmed, Zohra, Aiyer, Aishwarya, Ajami, Marjan, Akalanka, Kasuni H.M. , Akhtar, Muhammad Nadeem, Akrami, Ashley E, Akyea, Ralph Kwame, Hasan, Syed Mahfuz Al , Zoubi, Mohammad Ahmmad Mahmoud Al, Alahdab, Fares , Al-Ahmad, Mohammad M. , Alajajian, Stephen , Alajlani, Muaaz , Alalwan, Tariq A., Al-Amri, Issa Sulaiman, Alanzi, Turki M., Alarifi, Abdullah, Al-Azzam, Sayer, Albashtawy, Mohammed, Al-Dewik, Nader, Algahtani, Fahad D., Algammal, Abdelazeem M, Alhalaiqa, Fadwa Naji, Ali, Mohammad Daud , Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait, AL-Iede, Montaha, Alipour, Morteza, Al-Jabi, Samah W., Alkhatib, Mayson H. , Allawi, Raad Hatim , Allemailem, Khaled S. , (6837737), Mohammed Z. 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Magaña, Mahmood, Nozad Hussein, Malik, Md. Zubbair, Malta, Deborah Carvalho, MAMAND, DOSTE RASHID, Maniya, Muhammad Talha, Mansoor, Farheen, Mansourian, Marjan, Manzoor, Shaista, Marghani, Basma Hamed, Martinez-Piedra, Ramon, Martini, Santi, Martorell, Miquel, März, Winfried, Marzouk, Sammer, Masi, Stefano, Masrouri, Soroush , Maude, Richard J. , Mavrovounis, Georgios, McPhail, Steven M., Mendoza, Walter, Menezes, Ritesh G., Mengistie, Emiru Ayalew, Menon, Tara P., Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege, Metwally, Mohamed M.M., Jonasson, Junmei Miao , Mikrajab, Muhammad Agus Naufal, Minhas, Abdul Mannan Khan, Mirrakhimov, Erkin M., Mitra, Sayan , Mitra, Tridip, Modi, Dhruti, Mohamed, Mona Gamal, Ahmed, Khabab Abbasher Hussien Mohamed, Mohammad, Ameen Mosa , Mohammadi, Saeed, Mohammed, Omer, Mohan, Syam , Molla, Tewodros Shibabaw, Molokhia, Mariam, Moni, Mohammad Ali, Namin, Sara Montazeri , Morovvati, Mahdis, Heris, Reza Mosaddeghi, Motappa, Rohith, Mousavi, Seyed Ahmad , Kiasary, Seyed Mohamad Sadegh Mousavi, Yousefi, Kimia Mozahheb , Mubarik, Sumaira, Munkhsaikhan, Yanjinlkham, Musa, Sani, Mwita, Julius C., Nabipoorashrafi, SeyedAli, Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R., Naik, Hiten, Nainu, Firzan, Nartey, Yvonne , Nassar, Mahmoud, Natto, Zuhair S., Naureen, Zakira, Nawaiseh, Hala Khaled, Nayak, Biswa Prakash, Nayak, Vinod C., Nazari, Mojdeh, Ndakotsu, Andrew , Nega, Amanuel Tebabal , Nega, Mulata H., Negash, Abigia Ashenafi, Negoi, Ionut, Nguyễn, Cao Duy, Nguyen, Cuong Tat , Nguyen, Hau Thi Hien, Nguyen, Nghia Phu , Nguyen, Phat Tuan , Nguyen, Van Thanh, Niazi, Robina Khan, Nomura, Shuhei , Noreen, Mamoona , Nawsherwan, Noubiap, Jean Jacques, Nugen, Fred, Nur, Aqsha, Odediji, Saheed Adeyinka, Ogunmodede, O.S., Ojedoyin, Olusegun Olatunji , Ojo, Oluwafemi Adeleke , Okati-Aliabad, Hassan, Oliveira, Gláucia Maria Moraes, Olorukooba, Abdulhakeem Abayomi, Ong, Qi Chwen, Orru, H, Ortiz, A., Ortiz-Prado, Esteban, Osborne, Augustus, Osei, George Nkrumah , Ostrominski, John W. , Oumer, Abdu, Ouyahia, Amel, Owolabi, Mayowa O., Oyebola, Kolapo, Ozsahin, Ilker, Anand, Mahesh Padukudru, Palicz, Tamás , Panda, Sujogya Kumar , Pandi-Perumal, Seithikurippu R., Panos, Georgios D., Papadimopoulos, Ilias, Parija, Pragyan Paramita , Parikh, Romil R., Pascucci, Eleonora, Pasovic, Maja , Passera, Roberto, Patel, Mitesh, Patel, Niki Rut, Patel, Satyananda, Patil, Ashlesh, Patil, Shankargouda, Patoulias, Dimitrios, Pattnaik, Snigdha, Toroudi, Hamidreza Pazoki, Pekarcikova, Jarmila, Peprah, Prince, Pereira, Gavin, Pirera, Edoardo , Plotnikov, Evgenii, Poluru, Ramesh, Prasad, Manya, Prashant, Akila, Prates, Elton Junio Sady, Pugliese, Nicola Riccardo, Puvvula, Jagadeesh, Qi, Xiang, Qureshi, Ali, Radhakrishnan, Venkatraman, Raghav, Pankaja, Raghav, Yashpal Singh Raghav, Raghuveer, Pracheth , Rahim, Fakher , Rahim, Hawbash Mohammed-Amin, Rahimi, Sajjad, Rahman, Fryad Majeed, Rahman, M Sajjadur , Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rajendran, Judah, Rajput, Prashant, Ramasamy, Chitra, Ramasamy, Shakthi Kumaran, Rao, Asad Gul , Rao, Mithun , Rao, Sowmya J, Rasouli-Saravani, Ashkan, Rath, Shree, Rathi, Isha, Rawaf, David Laith , Rawaf, Salman, Reddy, Murali Mohan Rama Krishna, Rezaei, Mina, Rezaei, Nazila, Rezaeian, Mohsen , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Ross, Allen Guy Patrick, Rubeshkumar, Polani, Rwegerera, Godfrey Mutashambara , Saad, Aly M. A., Sabet, Cameron John, Sadarangani, Kabir P., Rafiei, Seyed Kiarash Sadat, Sadeghi, Ehsan, Sadeghi, Erfan, Sadeghi, Masoumeh, Sadek, Bassem, Sadek, Mustafa, Sadr, Hossein, Saeb, Mohammad Reza, Saeed, Umar, Saeedi, Maryam , Safiullah, Muhammad , Sahebkar, Amirhossein, Sajadi, S Mohammad, Saleh, Mohamed A., Salehi, Mahdi , Salimi, Sohrab, Samargandy, Saad, Samy, Abdallah M., Saravanan, Aswini , Sarfo, Jacob Owusu, Sarode, Gargi Sachin, Sarode, Sachin C., Sathian, Brijesh, Far, Mehrdad Savabi, Schlaich, Markus P., Schuermans, Art, Sejben, Anita, Semreen, Mohammad H., Senol, Yigit Can, Sessa, Francesco, Sewor, Christian , Seylani, Allen, Shahrahmani, Fatemeh, Shahwan, Moyad Jamal, Sham, Sunder, Shan, Dan, Sharifan, Amin , Sharma, Kamal, Sharma, Ravi Kumar, Sharma, Ujjawal , Shehzadi, Somia , Shetty, Mahabalesh, Shetty, Pavanchand H, Shi, Fanchao , Shi, Huizhong , Shi, Yongfeng, Shiri, Rahman , Shittu, Aminu, Shiue, Ivy, Shoaib, Ambreen, Shool, Sina, Shorofi, Seyed Afshin, Shuval, Kerem, Sia, Ching-Hui, Silva, Luís Manuel Lopes Rodrigues, Singh, Amit, Singh, Baljinder, Singh, Harmanjit, Singh, Harpreet, Singh, Lucky, Singh, Paramdeep, Singh, Siddharth , Singh, Sunil Kumar, Singh, Surjit, Singh, Vanshika , Sinha, Mukesh Kumar, Skryabin, Valentin Yurievich, Sokhal, Balamrit Singh , Sood, Prashant , Soraneh, Soroush , Sorensen, Reed J D , Srivastav, Prateek , Stanikzai, Muhammad Haroon , Starodubova, Antonina V., Stubbs, Peter, Suhag, Alisha, Sulaiman, Sahabi K., Odidi, Muritala Suleiman, Sulistiyorini, Desy , Sun, Jing , Sun, Zhong, Szarpak, Lukasz, Ty, Sree Sudha, Damavandi, Payam Tabaee, Tabatabaei, Seyyed Mohammad, Tabatabai, Shima, Tagiisuran, Balamurugan, Ali, Eman Taha Osman, Soodejani, Moslem Taheri, Taiba, Jabeen, Tajabadi, Shima, Talic, Stella, Talukder, Ashis, Adugna, Dessalegn Tamiru, Tampa, Mircea, Tan, Jianye, Tanabayeva, Dariga, Tanashat, Mohammad , Tang, Jiahao , Tantisattamo, Ekamol, Tariq, Saba, Temsah, Reem, Teramoto, Masayuki, Tesfamariam, Wegen Beyene , Tewari, Jay , Thakar, Vidhi, Thangavelu, Lakshmi, Tharwat, Ismaeel, Thiruvengadam, Muthu , Thomas, Nikhil Kenny, Ticoalu, Jansje Henny Vera, Tiwari, Krishna, Tleshev, Madi, Tonelli, Marcello, Topór-Mądry, Roman , Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, An Thien, Tran, Thang Huu, Duc, Nguyen Tran Minh , Tricò, Domenico , Tse, Gary, Tseriotis, Vasilis-Spyridon, Tualeka, Abdul Rohim , Tye, Sok Cin , Ullah, Riaz, Umair, Muhammad, Umar, Lawan , Ozsahin, Dilber Uzun, Uzunçıbuk, Hande, Vaithinathan, Asokan Govindaraj , Vakili, Omid , Eynde, Jef Van den, Varghese, Joe, Vellingiri, Balachandar, Verma, Poonam, Villalobos-Daniel, Victor E., Vlassov, Vasily, Wang, Nelson, Wang, Qingzhi, Wang, Wanzhou, Wang, Wei, Wang, Yanzhong, Wang, Zhihua, Wani, Tanveer A.A., Wei, Melissa Y., Weintraub, Robert G., Wibowo, Yohanes Cakrapradipta, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Witts, William Kwame , Wonde, Tewodros Eshete , Wongsin, Utoomporn , Wu, Peng, Xiao, Guangqin, Xie, Wanqing , Xu, Suowen, Xu, Wanqing, Yadav, Vikas , Yahoo, Saba, Yang, Hanwen, Yano, Yuichiro , Yao, Haiqiang , Yarahmadi, Amir, Yin, Dehui , Yismaw, Yazachew Engida, Yon, Dong Keon, Yu, Chuanhua, Yu, Elaine A., Yu, Hairui , Yu, Yong , Yuan, Quan, Zafar, Mubashir , Zaghampour, Manijeh, Zamora, Nelson, Zanghì, Aurora , Zargar, Seema , Zeariya, Mohammed G M, Zeru, Eyael M, Zhang, Beijian, Zhang, Hanyu, Zhang, Julio Min Fei, Zhang, Yunquan, Zhang, Zhichang, Zhanuzakov, Murat , Zhao, Zhongyi, Zheng, Ming‐Hua , Zhong, Anthony , Zhong, Claire Chenwen, Zhou, Hao, Zhou, Jiayan, Zhou, Xiao-Dong, Zhu, Zhengyang , Zhumagaliuly, Abzal, Zitoun, Osama A. , Zoghi, Ghazal , Zoromba, Mohamed Ali, Zumla, Alimuddin, Zyoud, Sa’ed H., Hay, Simon I., Mokdad, Ali H., Murray, Christopher J. L., Roth, Gregory A., Sun, Zhong , Hay, Simon I , Roever, Leonardo , Krishan, Kewal , Moni, Mohammad Ali , Buendía, Jefferson Antonio , Badar, Muhammad , Wickramasinghe, Nuwan Darshana , Nassar, Mahmoud , Dewan, Syed Masudur Rahman , Naik, Ganesh R. , Wang, Yanzhong , Rath, Shree , Karakasis, Paschalis , Zheng, Ming-Hua , Taiba, Jabeen , Razo, Christian , DeCleene, Nicole K., LeGrand, Kate E , Abaraogu, Ukachukwu Okoroafor , ElHafeez, Samar Abd , Abdelmasseh, Michael , Abdelnabi, Mahmoud , Abd‐Elsalam, Sherief , Elshenawy, Rasha Abdelsalam , Abdelwahab, Siddig İbrahim , Abdolizadeh, Ali , Abdollahi, Arash, Abdoun, Meriem , Abdrabou, Mostafa M. , Abdulah, Deldar Morad , Abdullahi, Auwal , Shenkut, Melese, Abiodun, Olugbenga Olusola , Abiodun, Olumide A , Abohashem, Shady , Abtahi, Dariush , Farha, Rana Kamal Abu , Abubakar, Bilyaminu , Abuhelwa, Ahmad Y. , Abukhadijah, Hana J , Aburuz, Salahdein , Adamu, Nuhu Lawan , Adane, Mesafint Molla , Addo, Isaac Yeboah , Adedokun, Kamoru Ademola , Adekola, Saheed Ayodeji, Adesina, Miracle Ayomikun , Adisu, Molalign Aligaz , Adnan, Mohd , Afoakwah, Clifford , Afolabi, Aanuoluwapo Adeyimika, Afrifa‐Yamoah, Ebenezer , Afzal, Saira , Agordoh, Percival Delali , Ahmad, Aqeel , Ahmad, Khabir , Ahmad, Sajjad , Ahmed, Gasha Salih, Ahmed, Nesredin , Ajami, Marjan , Akhtar, Muhammad Nadeem , Akindele, Mukadas Oyeniran , Akkaif, Mohammed Ahmed , Akyea, Ralph Kwame , Zoubi, Mohammad Ahmmad Mahmoud Al, Alalwan, Tariq A. , Al‐Aly, Ziyad , Al-Amri, Issa Sulaiman , Alanzi, Turki Matar Khalaf, Al-Ashwal, Fahmi Y. , Al‐Azayzih, Ahmad , Al-Azzam, Sayer , Al-Bashaireh, Ahmad M. , ALBashtawy, Mohammed , Aleidi, Shereen M. , Algahtani, Fahad D. , AlHabib, Khalid F. , Ali, Abid , Ali, Asgar , Ali, Bassam R. , Al‐Iede, Montaha , Alif, Sheikh Mohammad , Alipour, Morteza, Al‐Jabi, Samah W. , Aljunid, Syed Mohamed , Alkubati, Sameer Abdulmalik , Almagharbeh, Wesam Taher , Almahmeed, Wael , Almazan, Joseph Uy , Alniss, Hasan Yaser , Alomari, Mahmoud A. , Alotaibi, Haifa F. , Alqahtani, Saleh A. , Alqudimat, Mohammad R. , Al-Qudimat, Ahmad Rajeh , Al‐Raddadi, Rajaa , Alsbou, Mohammed , Alshahrani, Najim Zafer , Al-Shami, Ali Salman , Altaf, Awais , Althobiani, Malik A , Alwafi, Hassan , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Al‐Zalabani, Abdulmohsen H. , Alzoubi, Abdallah , Alzoubi, Karem Hasan , Amafah, Joy, Amin, Amr , Amini, Saeed, Amini‐Salehi, Ehsan , Amusa, Ganiyu , Ang, Song Peng , Anieto, Ebuka Miracle , Anil, Abhishek , Anjana, Dr. Prapti, Anvari, Saeid, Appati, Walter , Arabloo, Jalal , Arafat, Mosab , Areda, Demelash, Arefnezhad, Reza , Torre, Jorge Arias de la, Aripov, Timur , Arockiaraj, Jesu , Asdaq, Syed Mohammed Basheeruddin , Ashraf, Syed Amir , Ashraf, Tahira , Ataç, Ömer , Athar, Mohammad , Athari, Seyyed Shamsadin , Aurangzeb, Khursheed , Awan, Sana Javaid , Awol, Kemal Lemnuro, Awotidebe, Adedapo Wasiu , Aylı, Berrak Itır , Azarboo, Alireza , Aziz, Sadat Abdulla , Azzolino, Domenico , Babu, Abraham Samuel , Babu, Giridhara R. , Badiye, Ashish , Baghlaf, Khlood K , Baig, Atif Amin , Bakhshali, Mohamad Amin , Banach, Maciej , Banik, Palash Chandra , Barqawi, Hiba Jawdat , Barrow, Amadou , Barua, Lingkan , Bashir, Shahid , Bashiri, Azadeh , Bastan, Mohammad‐Mahdi , Bayih, Mulat Tirfie , Beeraka, Narasimha Murthy , Begum, Tahmina , Behera, Priyamadhaba , Behnam, Babak , Ramírez, Diana Fernanda Bejarano , Belo, Luı́s , Berihun, Abiye Assefa , Bhattacharjee, Priyadarshini , Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Biswas, Atanu , Biswas, Bijit , Bizzozero‐Peroni, Bruno , Bodur, Mahmut , Bogale, Sitotaw Kerie , Bohn, Lucimére , Boloor, Archith , Carvajal, Alejandro Botero , Boudalia, Sofiane , Bugiardini, Raffaele , Busch, Felix , Bustanji, Yasser, Campos, Luciana Aparecida , Catapano, Alberico Luigi , Cegolon, Luca , Cenko, Edina , Cerin, Ester , Chakraborty, Chiranjib , Chandika, Rama Mohan , Chandrasekar, Eeshwar K , Chandrasekaran, Baskaran , Chattu, Vijay Kumar , Chaudhary, Anis Ahmad , Chaudhuri, Sirshendu , Cheema, Asad Ali Ahmed , Chichagi, Fatemeh , Ching, Patrick R , Cho, William C.S., Choi, Dong‐Woo , Chong, Bryan , Chopra, Deepti , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chu, Dinh‐Toi , Chukwu, Chidozie Williams , Chung, Sheng‐Chia , Chung, S. Y. , Cicero, Arrigo F.G. , Cosma, Claudia , Criqui, Michael H. , Dadras, Omid , Dai, Xiaochen , Dai, Zhaoli , Dalakoti, Mayank , D’Amico, Emanuele , Tesfa, Endalamaw , Danpanichkul, Pojsakorn , Darcho, Samuel Demissie , Davletov, Dimash , Davletov, Kairat , Dejenie, Tadesse Asmamaw , Bo’, Cristian Del , Delgado‐Enciso, Iván , Denova‐Gutiérrez, Edgar , Dergaa, Ismail , Dervišević, Emina , Devegowda, Devananda , Dewan, Syed Masudur Rahman , Dhimal, Meghnath , Dhungel, Bibha , Do, Thanh Chi, Phuong, Thao Huynh, Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Dourado, Paulo Magno Martins , Dowou, Robert Kokou , Du, Mi , Duncan, Bruce Bartholow , Durães, André Rodrigues , Ebohon, Osamudiamen , Eftekhari, Behrad , Eladl, Mohamed Ahmed , Eldaboush, Ahmed , Elgendy, Islam Y. , Elhadi, Muhammed , El‐Huneidi, Waseem , Elmonem, Mohamed A. , Elmoselhi, Adel B. , Fabin, Natalia , Fadaka, Adewale Oluwaseun , Fagbamigbe, Adeniyi Francis , Fakorede, Sodiq , Fatima, Zareen , Fayaz, Mohammad , Fazylov, Timur, Fernández‐Jiménez, Rodrigo , Fischer, Florian, Fogacci, Federica , Foschi, Matteo , Gadanya, Muktar A., Gajdács, Márió , Galali, Yaseen , Ganesan, Balasankar , Gangachannaiah, Shivaprakash , Gašević, Danijela , Habtemichael, Mizan , Getacher, Lemma , Jolfayi, Amir Ghaffari , Ghamkhar, Arin, Ghazy, Ramy Mohamed , Ghimire, Sailaja, Ghith, Nermin , Gil, Artyom , Gill, Paramjit Singh , Gnedovskaya, Elena V. , Goh, Lay Hoon , Gohari, Kimiya, Golechha, Mahaveer , Goulart, Alessandra C. , Goyal, Aman , Grada, Ayman , Gu, Long , Gubari, Mohammed Ibrahim Mohialdeen , Guha, Avirup , Gunawardane, Damitha Asanga , Gupta, Rajeev , Gurgoglione, Filippo Luca , Guzmán-Esquivel, José , Guzmán-Muñoz, Eduardo , Haghtalab, Arian , Halder, Pritam , Hamdy, Nadia Μ. , Hammad, Eman A. , Hanif, Asif , Hanifi, Nasrin , Hankey, Graeme J. , Harsini, Sara , Hartmann, Phillipp , Hasan, Ikramul , Hashempur, Mohammad Hashem , Hassan, Amr , Hassan, Ibrahim Nagmeldin , Hayat, Khezar , Hezam, Kamal , Hiraike, Yuta , Holla, Ramesh , Hostiuc, Sorin , Htay, Mila Nu Nu , Huang, Junjie, Hushmandi, Kiavash , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ibrahim, Khalid S. , Ibrayeva, Anel , Ikram, Jibran, Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Imodoye, Sikiru O. , Inbaraj, Leeberk Raja , Ionescu, Radu Tudor, Iqhrammullah, Muhammad , Irham, Lalu Muhammad , Ishaqui, Azfar Athar , Ismail, Nahlah Elkudssiah , Ismoldayev, Yerlan, Isola, Gaetano , Izquierdo‐Condoy, Juan S. , Jacob, Jaison , Jahanshahi, Ali , Jamal, Armaan , Jamali, Navid , James, Jerin , Jamshidi, Masoud , Jawaid, Talha, Jayasinghe, Yovanthi Anurangi , Jemal, Mohammed , Jeong, Seogsong , Jeswani, Bijay Mukesh , Jibat, Nathan Tolemariam , Jokar, Mohammad , Joó, Tamás , Joseph, Akaninyene Paul , Joseph, Mickaël Antoine , Joseph, Nitin , Joshi, Krupal , Jürisson, Mikk , K, Vaishali , Kakkar, Ashish Kumar , Kalani, Rizwan , Kalavani, Khalil , Kalra, Sanjay , Kamorudeen, Ramat T. , Kamyshnyi, Oleksandr , Kanaan, Saddam Fuad , Kanmodi, Kehinde Kazeem , Kantar, Rami S. , Kapoor, Neeti , Karajizadeh, Mehrdad , Karakasis, Paschalis , Karasneh, Reema A. , Kashoo, Faizan , Kashyap, Manoj Kumar , Kausar, Mohd Adnan , Kazemian, Sina , Kebede, Yabets Tesfaye , Kesse‐Guyot, Emmanuelle , Khademi, Reza , Khader, Yousef , Khajuria, Himanshu , Khaleel, Anas , Khalid, Sidra , Khalili, Anita , Khalili, Pantea , Khan, Maseer , Khan, Mohammad Idreesh , Khasbage, Sameer Uttamaro , Khatatbeh, Moawiah Mohammad , Khosla, Pavan , Khosravi, Sepehr , Kimokoti, Ruth W , Kısa, Adnan , Kishore, Ladli , Kivimäki, Mika , Kokkorakis, Michail , Kolahi, Ali‐Asghar , Kompani, Farzad , Kondybayeva, Аida , Korzh, Oleksii , Kostev, Karel , Laxminarayana, Sindhura Lakshmi Koulmane , Kua, Chong-Han , Kuddus, Mohammed , Kumar, Chandan , Kumar, G Anil , Kumar, Jogender , Kumar, Laksh , Kundu, Amartya , Kundu, Satyajit , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kytö, Ville , Lahariya, Chandrakant , Lakanova, Balzhan, Lantos, Tamás , Larebo, Yilma Markos , Lasrado, Savita , Lee�, HwaMin , Lee, Wei‐Chen , Leivaditis, Vasileios , Lenjisa, Jimma Likisa , Li, Ming‐Chieh , Li, Qiang , Li, Shaojie , Lim, Lee-Ling , Lodhi, Madeeha Shahzad , Lokunarangoda, Niroshan Chandrajith , López-Gil, José Francisco , Lorkowski, Stefan , Lucchetti, Giancarlo , Lui, Pauline Po Yee , Lv, Lei , Lytvyak, Ellina , Amin, Hawraz Ibrahim M. , Maffia, Pasquale , Magaña‐Gómez, Javier A. , Mahalleh, Mehrdad , Malik, Ahmad Azam , Malik, Tabarak , Malta, Déborah Carvalho , Mamand, Doste R. , Maniya, Muhammad Talha , Mannethodi, Kamaruddeen , Mansoor, Farheen, Mansourian, Marjan , Maqsood, Kaleem , Marateb, Hamid Reza , Marghani, Basma H. , Marino, Mirko , Martínez, Ramón , Martini, Daniela , Martini, Santi , Martorell, Miquel , März, Winfried , Marzouk, Sammer , Masi, Stefano , Mathur, Neeta , Matozinhos, Fernanda Penido , Mattiello, Rita , Mavrovounis, Georgios , McPhail, Steven , Mehto, Subhash , Meles, Hadush Negash , Menezes, Godfred Antony , Menon, Tara Pattilachan, Mensah, George A. , Merlino, Giovanni , Meštrović, Tomislav , Mettananda, Chamila Dinushi Kukulege , Mettananda, Sachith , Metwally, Mohamed M M, Mikrajab, Muhammad Agus, Minhas, Abdul Mannan Khan , Mittal, Madhukar , Mohamed, Nouh Saad , Ahmed, Khabab Abbasher Hussien Mohamed , Mohammad, Taj , Mohammadi, Abbas , Mohammadi, Mokhtar , Mohammadian-Hafshejani, Abdollah , Mohsen, Yazan , Shibabaw, Tewodros , Molokhia, Mariam , Monazzami, Amirabbas , Ghalibaf, AmirAli Moodi , Morovvati, Mahdis, Motappa, Rohith , Mozafar, Mehrdad , Mubarik, Sumaira , Muhammad, Jibran Sualeh , Munkhsaikhan, Yanjinlkham, Munshi, Anjana , Musa, Sani , Muthu, Sathish , Mwita, Julius Chacha , Myung, Woojae , Nainu, Firzan , Nargus, Shumaila , Nasrollahizadeh, Amir , Nassar, Mahmoud, Nauman, Javaid , Navaratna, Samidi Nirasha Kumari , Nawaiseh, Hala K. , Nayak, Biswa Prakash, Nega, Mulata Haile , Negash, Abigia Ashenafi , Negoi, Ionuţ , Abadi, Reza Nejad Shahrokh , Nematollahi, Mohammad Hadi , Nieddu, Luciano , Nketia, Richmond , Noubiap, Jean Jacques , Nri-Ezedi, Chisom Adaobi , Ntsekhe, Mpiko , Nugen, Fred , Oancea, Bogdan , Odat, Ramez M. , Oddi, Fabio Massimo , Oh, In‐Hwan , Okekunle, Akinkunmi Paul , Okonji, Osaretin Christabel , Olorukooba, Abdulhakeem Abayomi , Ong, Qi Chwen , Ordak, Michał , Orscelik, Atakan , Ortiz‐Prado, Esteban , Osuagwu, Uchechukwu Levi , Oumer, Abdu , Ouyahia, Amel , Özşahin, İlker , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Georgios D. , Papa, Mario Virgilio , Pardhan, Shahina , Passera, Roberto , Patel, Kunal Nitinkumar , Patel, Neel Navinkumar , Patel, Satyananda, Patil, Shankargouda, Patoulias, Dimitrios , Pattnaik, Snigdha, Toroudi, Hamidreza Pazoki, Pekarčíková, Jarmila , Peprah, Prince , Pereira, Gavin, Perico, Norberto , Perna, Simone , Petermann‐Rocha, Fanny , Pirnejad, Habibollah , Plotnikov, Evgenii, Poddighe, Dimitri , Poluru, Ramesh , Porntaveetus, Thantrira , Pradhan, Pranil Man Singh , Prasad, Manya , Prashant, Akila , Pugliese, Nicola Riccardo , Puvvula, Jagadeesh , Qiu, Jia-Yong , Radhakrishnan, Venkatraman, Raghav, Pankaja Raghav, Rahamon, Sheu Kadiri , Rahim, Hawbash Mohammed-Amin , Rahimi, Sajjad , Rahman, Muhammad Aziz , Raj, Jeffrey Pradeep , Raja, Adarsh , Rajendran, Judah , Rajput, Prashant , Ramadan, Mahmoud M. , Ramasamy, Chitra, Ramasamy, Shakthi Kumaran, Rashedi, Vahid , Rasouli‐Saravani, Ashkan , Rath, Shree , Rathi, Isha , Rathish, Devarajan , Rauniyar, Santosh Kumar , Rawassizadeh, Reza , Ray, Asit , Redwan, Elrashdy M , Rehman, Najeeb Ur , Remuzzi, Giuseppe , Rezaei, Nazila , Romadlon, Debby Syahru , Romoli, Michele , Rony, Moustaq Karim Khan , Ross, Allen Guy , Roy, Sharmistha , Roy, Shubhanjali , Russo, Michele , Saber-Ayad, Maha Mohamed , Sabet, Cameron John , Sadarangani, Kabir P. , Rafiei, Seyed Kiarash Sadat , Saddique, Muhammad Nabeel , Sadee, Bashdar Abuzed , Sadeghi, Masoumeh , Sadek, Bassem Shaban , Sadr, Hossein, Saeb, Mohammad Reza , Saeed, Mοhd , Saeedi, Maryam , Saghazadeh, Amene , Sagoe, Dominic , Sah, Ashok Kumar , Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajadi, S. Mohammad, Sajid, Mirza Rizwan , Saki, Morteza , Sakshaug, Joseph W. , Salami, Afeez Abolarinwa , Saleem, Rahman Shah Zaib , Salihu, Abubakar Tijjani , Salimi, Sohrab , Samargandy, Saad J. , Samodra, Yoseph Leonardo , Samy, Abdallah M., Sarfo, Jacob Owusu , Sarmadi, Mohammad , Sarode, Gargi Sachin , Sassano, Michele , Sathian, Brijesh , Narayanan, Mukesh Kumar Sathya , Schlaich, Markus P. , Schuermans, Art , Schwarz, Ghil , Sejben, Anita , Selvaraj, Siddharthan , Semreen, Mohammad H. , Şenol, Yiğit Can , Şerban, Dragoş , Sethi, Yashendra , Setiawan, Christianus Heru , Shahid, Samiah , Shahini, Endrit , Shahrahmani, Fatemeh, Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shan, Dan, Shanawaz, Mohd , Shannawaz, Mohammed , Sharif, Nadim , Sharma, Bhoopesh Kumar , Sharma, Bunty, Sharma, Manoj , Sharma, Vishal , Shastry, Shamee , Sheidaei, Ali , Shenoy, Rekha R. , Shimels, Tariku , Shittu, Aminu , Shoaib, Ambreen , Shool, Sina , Shrestha, Sunil , Shuval, Kerem , Sia, Ching‐Hui , Siddig, Emmanuel Edwar , Siddiqi, Ahmed Kamal , Siddiqua, Ayesha , Silva, Diego Augusto Santos , Simkhada, Padam Prasad , Singh, Amit Kumar, Singh, Baljinder, Singh, Harpreet, Singh, Jasvinder A. , Singh, Lucky, Singh, Poornima Suryanath , Singh, Puneetpal , Sinha, Mukesh Kumar , Sinha, Ratnesh , Skryabin, Valentin Yurievich , Sorrentino, Michele , Spartalis, Michael , Stachteas, Panagiotis , Владимировна, Стародубова Антонина, Straube, Sebastian , Stubbs, Peter W. , Su, Chen‐Yang , Subramaniyan, Vetriselvan , Suhag, Alisha , Sulaieva, Oksana , Sun, Jing , Swain, Chandan Kumar , Szarpak, Łukasz , Y, Sree Sudha T, Damavandi, Payam Tabaee , Tabarés‐Seisdedos, Rafael , Tabatabaeizadeh, Seyed‐Amir , Tabche, Celine , Tadele, Afework , Ali, Eman T. , Soodejani, Moslem Taheri , Tajabadi, Shima, Talic, Stella , Talukder, Ashis , Zadeh, Seyed Saeed Tamehri , Tampa, Mircea Ştefan , Tantisattamo, Ekamol , Tariku, Mengistie Kassahun , Tavangar, Seyed Mohammad , Tedla, Mebrahtu G. , Teramoto, Masayuki , Tesfu, Azimeraw Arega , Tharwat, Ismaeel, Tharwat, Samar , Thienemann, Friedrich , Tiruye, Tenaw Yimer , Tleshev, Madi, Tomo, Sojit , Tonelli, Marcello , Touvier, Mathilde , Tran, An Thien, Tran, Thang Huu, Tristan, Christopher Daniel , Tse, Gary , Tseriotis, Vasilis‐Spyridon , Udoakang, Aniefiok John , Ullah, Atta , Ullah, Saeed , Umair, Muhammad, Upadhya, Dinesh , Upadhyay, Era , Usman, Jibrin Sammani , Ozsahin, Dilber Uzun , Uzunçıbuk, Hande , Varghese, Joe , Vasankari, Tommi Juhani , Vellingiri, Balachandar , Venketasubramanian, Narayanaswamy , Verma, Akshaya Kumar , Villalobos-Daniel, Victor Eduardo , Wan, Jin‐Yi , Wang, Cong , Wang, Nelson , Wang, Shaopan , Wang, Shu , Wang, Youxin , Wani, Tanveer A. , Waqar, Ahmed Bilal , Weintraub, Robert G, Wibowo, Yohanes Cakrapradipta, Wicaksana, Anggi Lukman , Wickramasinghe, Dakshitha Praneeth , Wilandika, Angga , Xu, Site , Xu, Suowen , Xu, Xiaoyue , Yadegar, Amirhossein , Yahoo, Saba, Yamagishi, Kazumasa , Yaribeygi, Habib , Yesuf, Subah Abderehim , Yon, Dong Keon , Yonemoto, Naohiro , Yuan, Quan, Yuzbashian, Emad , Zamagni, Giulia , Zawiah, Mohammed , Zeariya, Mohammed G M, Zeru, Eyael M, Zhang, Casper J. P. , Zhong, Claire Chenwen , Zhou, Xiao-Dong, Zhumagaliuly, Abzal , Zoromba, Mohamed Ali , Zumla, Alimuddin I. , Zyoud, Ahed H. , Zyoud, Shaher H. , Mokdad, Ali H. , Murray, Christopher J. L., Roth, Gregory A.

JAMA | July 29, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.8628 Get It

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.
Abnormal workload-indexed blood pressure response to exercise in patients at risk of or with overt heart failure
Punta, Lavinia Del, Balletti, A, Armenia, S, Buralli, Simona, Williams, Bryan , Biase, Nicolò De , Mengozzi, Alessandro , Taddei, Stefano , Metra, Marco , Pagnesi, Matteo , Borlaug, Barry A. , Masi, Stefano , Pugliese, Nicola Riccardo

European Heart Journal | November 11, 2023 | Volume: 44 | Issue: Supplement_2 | Pages: No page available

10.1093/eurheartj/ehad655.723 Get It

Abstract Background Conflicting evidence exists regarding the functional and prognostic significance of hypertensive response to exercise (HRE), commonly defined as peak systolic blood pressure (SBP) >210 mmHg in males and >190 mmHg in females. No study yet has explored the impact of sex-specific, workload-indexed HRE in patients at different stages of the heart failure (HF) spectrum, as defined by the American College of Cardiology/American Heart Association HF staging system. Purpose We evaluated the SBP/Workload slope during exercise across the HF spectrum and investigated the hemodynamic, functional and prognostic correlates of HRE. Methods Fifty-eight healthy controls, 201 subjects at risk of developing HF (HF Stages A-B), and 369 patients with a definite diagnosis of HF (Stage C) were enrolled; among the latter, 143 had preserved (HFpEF) and 226 reduced (HFrEF) left ventricular ejection fraction. All patients underwent a combined cardiopulmonary-exercise stress echocardiography test. For each patient, we recorded at least two BP measurements during exercise: the first within the first minute of exercise and the last at peak effort. The SBP/Workload slope was calculated as the difference in SBP over the corresponding increment in watts (W): (SBPpeak – SBPfirst)/(Wpeak – Wfirst). In each ACC/AHA HF Stage, we divided patients according to SBP/Workload slope tertiles; HRE was defined as the highest sex-specific SBP/Workload slope tertile. A composite of all-cause mortality and hospitalization for cardiovascular reasons was chosen as the primary outcome. Results The median SBP/Workload slope was 0.53 (interquartile range 0.36-0.72) mmHg/W and was steeper in women than in men in all subgroups (p<0.0001). After adjusting for age and sex, SBP/Workload slope was significantly higher in Stages A-B (0.61, 0.47-0.75 mmHg/W) and HFpEF (0.63, 0.42-0.86 mmHg/W) compared to controls (0.43, 0.35-0.57 mmHg/W) and HFrEF (0.47, 0.30-0.63 mmHg/W, Figure 1). In all subgroups, patients with HRE showed significantly lower peak oxygen consumption and peripheral oxygen extraction (Table). After a median follow-up of 16 months, HRE was an independent predictor of adverse outcomes (Hazard Ratio 2.05, 95% confidence interval 1.81-5.18), while rest and peak absolute SBP values did not. Kaplan-Meier analysis confirmed a worse survival probability for patients with HRE in Stages A-B and HFpEF but not in HFrEF. After adjusting for confounding factors, the patients with the highest SBP/Workload slope had a 47% higher risk of the primary outcome than subjects in the lowest tertile (Figure 2). Conclusions Across the HF spectrum, patients with HRE, as evaluated by the SBP/Workload slope, present with peculiar pathophysiological features and impaired functional capacity. This is especially true for those in Stages A-B and patients with HFpEF. In these subgroups, HRE may portend an increased risk of adverse cardiovascular outcomes.SBP/workload slopesKaplan-Meier curves and Hazard Ratios
WORKLOAD-INDEXED HYPERTENSIVE RESPONSE TO EXERCISE ACROSS THE HEART FAILURE SPECTRUM
Punta, Lavinia Del, Balletti, Alessio , Armenia, Silvia, Buralli, Simona, Williams, Bryan , Pugliese, Nicola Riccardo , Biase, Nicolò De , Mengozzi, Alessandro , Taddei, Stefano , Metra, Marco , Pagnesi, Matteo , Borlaug, Barry A. , Masi, Stefano

Journal of Hypertension | June 8, 2023 | Volume: 41 | Issue: Suppl 3 | Pages: e73

10.1097/01.hjh.0000939464.35789.29 Get It

Objective: Limited evidence is available regarding the impact of workload-indexed hypertensive response to exercise (HRE) in patients at different stages of the heart failure (HF) spectrum. We evaluated the prevalence, pathophysiologic and prognostic correlates of HRE, evaluated by the systolic blood pressure (SBP)/Workload slope, across the HF spectrum as defined by the American College of Cardiology/American Heart Association. Design and method: We prospectively enrolled 58 healthy controls, 201 subjects at risk of developing HF (HF Stages A-B), and 369 patients with a definite diagnosis of HF (Stage C) and either preserved (HFpEF) or reduced (HFrEF) left ventricular ejection fraction. All patients underwent a combined cardiopulmonary-exercise stress echocardiography test. We recorded two SBP measurements for each patient: the first within the first minute of exercise and the last at peak effort. The SBP/Workload slope was calculated as the difference in SBP over the corresponding increment in watts (W): (SBPpeak – SBPfirst)/(Wpeak – Wfirst). In each subgroup, we divided patients according to SBP/Workload slope tertiles, using sex-specific cut-off values; HRE was defined as the highest SBP/Workload slope tertile in each HF stage. A composite of all-cause mortality and hospitalization for cardiovascular reasons was chosen as the primary outcome. Results: The median SBP/Workload slope was 0.53 (interquartile range 0.36 - 0.72) mmHg/W and was steeper in women than men in all subgroups. After adjusting for age and sex, SBP/Workload slope in controls was similar to HFrEF but significantly lower than Stages A-B and HFpEF. In all HF stages, patients with HRE showed significantly lower peak oxygen consumption and peripheral oxygen extraction. After a median follow-up of 16 months, HRE was independently associated with adverse outcomes (Hazard Ratio 2.05, 95% confidence interval 1.81 - 5.18). Kaplan-Meier analysis confirmed a worse survival probability in Stages A-B and HFpEF, but not HFrEF. After adjusting for clinical and echocardiographic variables, patients in the highest SBP/Workload tertile had a 47% higher risk of the primary outcome than subjects in the lowest tertile. Conclusions: HRE is associated with peculiar pathophysiological features and possibly worse prognosis in patients in the earliest stages of cardiovascular disease and in those with HFpEF.
Functional and prognostic impact of hypertensive response to exercise across the heart failure spectrum
Punta, Lavinia Del, Balletti, A, Armenia, S, Buralli, Simona, Williams, Bryan , Biase, Nicolò De , Mengozzi, Alessandro , Taddei, Stefano , Metra, Marco , Pagnesi, Matteo , Borlaug, Barry A. , Masi, Stefano , Pugliese, Nicola Riccardo

European Journal of Preventive Cardiology | May 24, 2023 | Volume: 30 | Issue: Supplement_1 | Pages: No page available

10.1093/eurjpc/zwad125.229 Get It

Abstract Funding Acknowledgements Type of funding sources: None. Background Conflicting data exist regarding the prognostic significance of hypertensive response to exercise (HRE), commonly defined according to absolute peak systolic blood pressure (SBP) values. Limited evidence is available regarding the impact of workload-indexed HRE in patients at different stages of the heart failure (HF) spectrum as defined by the American College of Cardiology/American Heart Association HF staging system. Purpose We evaluated the SBP/Workload slope during exercise across the HF spectrum and investigated the haemodynamic, functional and prognostic correlates of HRE. Methods We prospectively enrolled 58 healthy controls, 201 subjects at risk of developing HF (HF Stages A-B), and 369 patients with a definite diagnosis of HF (Stage C); among the latter, 143 had preserved (HFpEF) and 226 reduced (HFrEF) left ventricular ejection fraction. All patients underwent a combined cardiopulmonary-exercise stress echocardiography test. For each patient, we recorded the first (i.e., within the first minute of exercise) and last (i.e., at peak effort) BP measurement during the ramp protocol. The SBP/Workload slope (Figure 1) was calculated as the ratio of the difference in SBP over the corresponding increment in watts (W): (SBPpeak – SBPfirst)/(Wpeak – Wfirst). In each subgroup, we divided patients according to SBP/Workload slope tertiles; HRE was defined as the highest sex-specific SBP/Workload slope tertile in each HF stage. The primary outcome was a composite of all-cause mortality and hospitalization for cardiovascular reasons. Results Median SBP/Workload slope was 0.53 mmHg/W, interquartile range 0.36-0.72 mmHg/W; the slope was 39% steeper in women than in men (p<0.0001). After adjusting for age and sex, SBP/Workload slope in controls (0.43, 0.35-0.57 mmHg/W) was similar to HFrEF (0.47, 0.30-0.63 mmHg/W) but significantly lower than Stages A-B (0.61, 0.47-0.75 mmHg/W) and HFpEF (0.63, 0.42-0.86 mmHg/W). In all HF stages, patients with HRE showed significantly lower peak oxygen consumption and peripheral oxygen extraction. After a median follow-up of 16 months, HRE was independently associated with adverse outcomes (Hazard Ratio 2.05, 95% confidence interval 1.81-5.18), while rest and peak SBP were not. Kaplan-Meier analysis confirmed a worse survival probability in Stages A-B (p=0.005) and HFpEF (p<0.001), but not HFrEF. After adjusting for age, sex, body mass index, rest and peak SBP, rest and peak cardiac output, and rest and peak left ventricular ejection fraction, patients with the highest SBP/Workload slope had a 47% higher risk of the primary outcome than subjects in the lowest tertile (Figure 2). Conclusion HRE, as evaluated by the SBP/Workload slope, is associated with distinct pathophysiological features and impaired functional capacity across the HF spectrum, especially in Stages A-B and in patients with HFpEF. Patients with HRE in these subgroups may be at increased risk of adverse cardiovascular outcomes.
Deep Phenotype Characterization of Hypertensive Response to Exercise: Implications on Functional Capacity and Prognosis Across the Heart Failure Spectrum
Biase, Nicolò De , Punta, Lavinia Del, Balletti, Alessio , Armenia, Silvia, Buralli, Simona, Metra, Marco , Williams, Bryan , Metra, Marco , Pugliese, Nicola Riccardo , Mengozzi, Alessandro , Taddei, Stefano , Pagnesi, Matteo , Borlaug, Barry A. , Masi, Stefano

European Journal of Heart Failure | March 30, 2023 | Volume: 25 | Issue: 4 | Pages: 497-509

10.1002/ejhf.2827 Get It

Abstract Aims Limited evidence is available regarding the role of hypertensive response to exercise (HRE) in heart failure (HF). We evaluated the systolic blood pressure (SBP) to workload slope during exercise across the HF spectrum, investigating haemodynamic and prognostic correlates of HRE. Methods and results We prospectively enrolled 369 patients with HF Stage C (143 had preserved [HFpEF], and 226 reduced [HFrEF] ejection fraction), 201 subjects at risk of developing HF (HF Stages A–B), and 58 healthy controls. We performed a combined cardiopulmonary exercise stress echocardiography testing. We defined HRE as the highest sex-specific SBP/workload slope tertile in each HF stage. Median SBP/workload slope was 0.53 mmHg/W (interquartile range 0.36–0.72); the slope was 39% steeper in women than men (p < 0.0001). After adjusting for age and sex, SBP/workload slope in HFrEF (0.47, 0.30–0.63) was similar to controls (0.43, 0.35–0.57) but significantly lower than Stages A–B (0.61, 0.47–0.75) and HFpEF (0.63, 0.42–0.86). Patients with HRE showed significantly lower peak oxygen consumption and peripheral oxygen extraction. After a median follow-up of 16 months, HRE was independently associated with adverse outcomes (all-cause mortality and hospitalization for cardiovascular reasons: hazard ratio 2.05, 95% confidence interval 1.81–5.18), while rest and peak SBP were not. Kaplan–Meier analysis confirmed a worse survival probability in Stages A–B (p = 0.005) and HFpEF (p < 0.001), but not HFrEF. Conclusion A steeper SBP/workload slope is associated with impaired functional capacity across the HF spectrum and could be a more sensitive predictor of adverse events than absolute SBP values, mainly in patients in Stages A–B and HFpEF.
Prognostic significance of epicardial adipose tissue in heart failure with preserved and reduced ejection fraction
Punta, Lavinia Del, Borlaug, BA, Pugliese, Nicola Riccardo , Biase, Nicolò De , Mazzola, Matteo , Paneni, Francesco , Gargani, Luna , Mengozzi, Alessandro , Virdis, Agostino , Nesti, Lorenzo , Taddei, Stefano , Flammer, Andreas J. , Ruschitzka, Frank T. , Masi, Stefano

European Heart Journal | October 20, 2021 | Volume: 42 | Issue: Supplement_1 | Pages: No page available

10.1093/eurheartj/ehab724.0820 Get It

Abstract Background Increased epicardial adipose tissue (EAT) thickness correlates with metabolic syndrome, insulin resistance, microvascular dysfunction and enhanced pericardial restraint. Purpose We measured echocardiographic EAT thickness in heart failure (HF) patients with reduced (HFrEF) or preserved (HFpEF) ejection fraction to determine whether EAT could bear prognostic significance at clinical follow-up. Methods We prospectively enrolled 393 consecutive HF outpatients (205 HFrEF, 188 HFpEF) referred to our hospital due to dyspnoea and/or effort intolerance. We performed a resting clinical and biohumoral evaluation, followed by combined cardiopulmonary-echocardiography exercise stress. A composite of cardiovascular death and HF-related hospitalization was chosen as endpoint during follow-up. Results Patients with HFpEF displayed higher EAT thickness (median 8 mm, interquartile range [IQR] 4–12 mm) than HFrEF (median 3 mm, IQR 2–6 mm; p<0.0001). During a median follow-up of 20.9 months (IQR 15–25 months), we reported 34 cardiovascular deaths and 146 HF hospitalizations, with no significant differences between the two HF subsets. EAT predicted adverse events independently from body mass index and well-established markers of poor prognosis (e.g., NT-proBNP, peak oxygen consumption). The risk of adverse events increased with increasing EAT thickness in HFpEF and with EAT thinning in HFrEF. Kaplan-Meier analyses for the composite endpoint showed that in HFpEF, the survival probability was significantly lower in patients with thicker EAT than those with thinner EAT. In HFrEF, conversely, patients with thicker EAT had a higher survival probability than those with reduced EAT thickness (Figure 1). Conclusion EAT accumulation is more marked in HFpEF than HFrEF and carries different prognostic meanings in the two subsets. In HFpEF, EAT thickening portends adverse outcome, which may be due to increased mechanical restraint and secretion of pro-inflammatory and pro-atherogenic adipokines. In HFrEF, greater EAT thickness seems to have a protective role, while EAT thinning is associated with a worse prognosis, likely reflecting a catabolic state (i.e. cardiac cachexia). Larger studies will clarify whether EAT is a bystander or an active player in the different HF phenotypes. Funding Acknowledgement Type of funding sources: None. Figure 1
Epicardial adipose tissue, cardiovascular hemodynamics and metabolic profile in heart failure with preserved and reduced ejection fraction
Punta, Lavinia Del, Borlaug, BA, Pugliese, Nicola Riccardo , Mazzola, Matteo , Biase, Nicolò De , Paneni, Francesco , Gargani, Luna , Mengozzi, Alessandro , Virdis, Agostino , Nesti, Lorenzo , Taddei, Stefano , Flammer, Andreas J. , Ruschitzka, Frank T. , Masi, Stefano

European Heart Journal | October 20, 2021 | Volume: 42 | Issue: Supplement_1 | Pages: No page available

10.1093/eurheartj/ehab724.0878 Get It

Abstract Background Epicardial adipose tissue (EAT) acts as a paracrine organ and could exert direct mechanical compression on the myocardium. Purpose We investigated the impact of echocardiographic EAT thickness on metabolic profile and cardiovascular hemodynamics at rest and during exercise in heart failure (HF) patients with reduced (HFrEF) and preserved (HFpEF) ejection fraction Methods We prospectively enrolled 393 consecutive HF outpatients (205 HFrEF, 188 HFpEF) referred to the our hospital due to dyspnoea and/or effort intolerance. We performed a resting clinical and biohumoral evaluation, followed by combined cardiopulmonary-echocardiography exercise stress. The protocol also included 44 healthy controls. Results Patients with HFpEF displayed the greatest EAT thickness (median 8 mm, interquartile range [IQR] 4–12 mm), while those with HFrEF had thinner EAT (median 3 mm, IQR 2–6 mm) than controls (median 5 mm, IQR 3–7 mm; p<0.0001). In HFrEF, EAT thickness was inversely associated with natriuretic peptides, Troponin T, and C-reactive protein levels. In HFpEF, it was directly correlated with Troponin-T and C-reactive protein levels. EAT thickness was inversely correlated with peak oxygen consumption (VO2) and peripheral oxygen extraction (AVO2diff) in HFpEF, while a direct association was observed in HFrEF (Fig 1). EAT resulted in an independent predictor of peak VO2 and AVO2diff in HFrEF and HFpEF regardless of body mass index, but the relationships were direct in HFrEF (standard regression coefficient [SRC] for peak VO2: 0.18, p=0.02; SRC for peak AVO2diff: 0.17, p=0.03) and indirect in HFpEF (SRC for peak VO2: −0.33, p<0.0001; SRC for peak AVO2diff: −0.25, p<0.0001). The analysis of cardiac mechanics revealed that thinner EAT was associated with worse left ventricle systolic dysfunction (average S') and remodeling (3D left ventricle mass) in HFrEF. In HFpEF, increased EAT was related to more severe left atrio-ventricular (left atrium reservoir strain/left ventricle global longitudinal strain) and right ventriculo-arterial (tricuspid annular plane systolic excursion/systolic pulmonary artery pressure) coupling (Figure 2). Conclusion In HFpEF, EAT accumulation is associated with worse hemodynamic and metabolic profile. In HFrEF, conversely, EAT thinning portends more severe LV dysfunction and impaired global functional capacity. Funding Acknowledgement Type of funding sources: None. Figure 1Figure 2
Impact of epicardial adipose tissue on cardiovascular haemodynamics, metabolic profile, and prognosis in heart failure
Paneni, Francesco , Mazzola, Matteo , Biase, Nicolò De , Punta, Lavinia Del, Gargani, Luna , Mengozzi, Alessandro , Nesti, Lorenzo , Flammer, Andreas J. , Paneni, Francesco , Pugliese, Nicola Riccardo , Virdis, Agostino , Taddei, Stefano , Borlaug, Barry A. , Ruschitzka, Frank T. , Masi, Stefano

European Journal of Heart Failure | August 24, 2021 | Volume: 23 | Issue: 11 | Pages: 1858-1871

10.1002/ejhf.2337 Get It

Abstract Aims We evaluated the impact of echocardiographic epicardial adipose tissue (EAT) on cardiovascular haemodynamics, metabolic profile and prognosis in heart failure (HF) using combined cardiopulmonary‐echocardiography exercise stress. Methods and results We analysed EAT thickness of HF patients with reduced (HFrEF, n = 205) and preserved (HFpEF, n = 188) ejection fraction, including 44 controls. HFpEF patients displayed the highest EAT, while HFrEF patients had lower values than controls. EAT showed an inverse correlation with natriuretic peptides, troponin T and C‐reactive protein in HFrEF, while having a direct association with troponin T and C‐reactive protein in HFpEF. EAT was independently associated with peak oxygen consumption (VO 2 ) and peripheral extraction (AVO 2 diff), regardless of body mass index. EAT was inversely correlated with peak VO 2 and AVO 2 diff in HFpEF, while a direct association was observed in HFrEF, where lower EAT values were associated with worse left ventricular systolic dysfunction. In HFpEF, increased EAT was related to right ventriculo–arterial (tricuspid annular plane systolic excursion/systolic pulmonary artery pressure) uncoupling. After 21 months of follow‐up, 146 HF hospitalizations and 34 cardiovascular deaths were recorded in the HF population. Cox multivariable analysis supported an independent differential role of EAT in HF cohorts (interaction P = 0.01): higher risk of adverse events for increasing EAT in HFpEF [hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.04–1.37] and for decreasing EAT in HFrEF (HR 0.75, 95% CI 0.54–0.91). Conclusion In HFpEF, EAT accumulation is associated with worse haemodynamic and metabolic profile, also affecting survival. Conversely, lower EAT values imply higher left ventricular dysfunction, global functional impairment and adverse prognosis in HFrEF.
Predicting the transition to and progression of heart failure with preserved ejection fraction: a weighted risk score using bio-humoural, cardiopulmonary, and echocardiographic stress testing
Biase, Nicolò De , Gargani, Luna , Mazzola, Matteo , Conte, Lorenzo, Fabiani, Iacopo , Frumento, Paolo , Rosada, Javier , Pugliese, Nicola Riccardo , Taddei, Stefano , Conte, Lorenzo , Natali, Andrea , Dini, Frank Lloyd , Taddei, Stefano , Borlaug, Barry A. , Masi, Stefano

European Journal of Preventive Cardiology | December 31, 2020 | Volume: 28 | Issue: 15 | Pages: 1650-1661

10.1093/eurjpc/zwaa129 Get It

Abstract Aims Risk stratification of heart failure (HF) patients with preserved ejection fraction (HFpEF) can promote a more personalized treatment. We tested the prognostic value of a multi-parametric evaluation, including biomarkers, cardiopulmonary exercise testing-exercise stress echocardiography (CPET-ESE), and lung ultrasound, in HFpEF patients and subjects at risk of developing HF (HF Stages A and B). Background Risk stratification of heart failure (HF) patients with preserved ejection fraction (HFpEF) can promote a more personalized treatment. Design We tested the prognostic value of a multi-parametric evaluation, including biomarkers, cardiopulmonary exercise testing-exercise stress echocardiography (CPET-ESE), and lung ultrasound, in HFpEF patients and subjects at risk of developing HF (HF Stages A and B). Methods and results We performed a resting clinical/bio-humoural evaluation and a symptom-limited CPET-ESE in 274 patients (45 Stage A, 68 Stage B, and 161 Stage C-HFpEF) and 30 age- and sex-matched healthy controls. During a median follow-up of 18.5 months, we reported 71 HF hospitalizations and 10 cardiovascular deaths. Cox proportional-hazards regression identified five independent predictors and each was assigned a number of points proportional to its regression coefficient: stress-rest ΔB-lines >10 (3 points), peak oxygen consumption <16 mL/kg/min (2 points), minute ventilation/carbon dioxide production slope ≥36 (2 points), peak systolic pulmonary artery pressure ≥50 mmHg (1 point) and resting N-terminal pro-brain natriuretic peptide (NT-proBNP) >900 pg/mL (1 point). The event-free survival probability for low risk (<3 points), intermediate risk (3–6 points), and high risk (>6 points) were 93%, 52%, and 20%, respectively. The area under the curve (AUC) for the scoring system to predict events was 0.92 (95% CI 0.88–0.96), with an accuracy significantly higher than the individual components of the score (all P < 0.01 vs. individual AUCs). Conclusion A weighted risk score including NT-proBNP, markers of cardiopulmonary dysfunction and indices of exercise-induced pulmonary congestion identifies HFpEF patients at increased risk for adverse events and Stage A and B subjects more likely to progress towards more advanced HF stages.