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Brown SA, Beavers C, Martinez HR, Marshall CH, Olaye IM, Guha A, Cho D, Bailey A, Bergom C, Bansal N, Bauer B, Cheng RK. Bridging the gap to advance the care of individuals with cancer: collaboration and partnership in the Cardiology Oncology Innovation Network (COIN). CARDIO-ONCOLOGY (LONDON, ENGLAND) 2022; 8:2. [PMID: 35139920 PMCID: PMC8827263 DOI: 10.1186/s40959-022-00129-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 01/05/2022] [Indexed: 01/21/2023]
Abstract
Cardiovascular diseases and cancer continue to be the two leading causes of death in the United States. While innovations in artificial intelligence, digital health, and telemedicine may revolutionize cardio-oncology clinical practice, barriers to widespread adoption continue to exist. The most effective way to advance these technologies is through a broad range of stakeholders sharing a common vision. Additionally, as we enter the digital era in healthcare, we must help lead this charge for the benefit of our cardiology and oncology patients. Bolstering collaborations in cardiology and oncology is key, in partnership with technology firms, industry, academia, and private practice, with an emphasis on various forms of innovation. The ultimate goal is to connect our patients and their health to informatics-based opportunities to advance cardiovascular disease prevention in cancer patients. We have established the Cardiology Oncology Innovation Network in accordance with this vision, to develop new care delivery options through the use of innovative technological strategies. Our tripartite mission - innovation, collaboration, and education - aims to increase access to and expertise in digital transformation to prevent cardiovascular diseases in cancer patients. Here we describe network initiatives, early accomplishments, and future milestones.
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Guha A, Fradley MG, Dent SF, Weintraub NL, Lustberg MB, Alonso A, Addison D. Incidence, risk factors, and mortality of atrial fibrillation in breast cancer: a SEER-Medicare analysis. Eur Heart J 2022; 43:300-312. [PMID: 34791123 PMCID: PMC8914878 DOI: 10.1093/eurheartj/ehab745] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/29/2021] [Accepted: 10/13/2021] [Indexed: 12/13/2022] Open
Abstract
AIMS The national incidence, risk factors, and associated mortality of atrial fibrillation (AF) in breast cancer patients are unknown. METHODS AND RESULTS Using the Surveillance, Epidemiology, and End Results-Medicare-linked database, we identified females, ≥66 years old, with a new primary diagnosis of breast cancer from 2007 through 2014. These patients were individually matched 1:1 to Medicare enrolees without cancer, and each pair was followed for 1 year to identify a primary outcome of AF. Cumulative incidence was calculated using competing risk survival statistics. Following this, identifying risk factors of AF among breast cancer patients was conducted using the adjusted Cox proportional hazards model. Finally, Kaplan-Meier methods and adjusted Cox proportional hazards modelling were performed to estimate mortality in breast cancer patients with incident and prevalent AF. This study included 85 423 breast cancer patients. Among these 9425 (11.0%) had AF diagnosis prior to the breast cancer diagnosis. New-onset AF was diagnosed in 2993 (3.9%) patients in a 1-year period after the breast cancer diagnosis [incidence 3.3%, 95% confidence interval (CI) 3.0-3.5%, at 1 year; higher rate in the first 60 days (0.6%/month)]. Comparatively, the incidence of new-onset AF in matched non-cancer controls was 1.8% (95% CI 1.6-2.0%). Apart from traditional demographic and cardiovascular risk factors, breast cancer stage was strongly associated with the development of AF [American Joint Committee on Cancer (AJCC) Stage II/III/IV vs. I: adjusted hazard ratio (aHR) 1.51/2.63/4.21, respectively]. New-onset AF after breast cancer diagnosis (aHR 3.00) is associated with increased 1-year cardiovascular mortality. CONCLUSION AF incidence is significantly higher in women after a breast cancer diagnosis. Higher breast cancer stages at diagnos are significantly associated with a higher risk of AF. New-onset AF in the new breast cancer diagnosis setting increases 1-year cardiovascular mortality but not breast cancer-related mortality. KEY QUESTION What are the incidence, prevalence, risk factors and mortality outcomes of atrial fibrillation (AF) in a multi-ethnic representative United States cohort of breast cancer patients? KEY FINDING Annual incidence for AF is 3.9% with highest rate in the first 60 days after cancer diagnosis. Cancer stage and grade are the strongest risk factors for AF. New onset AF after breast cancer increases all-cause and cardiovascular mortality. TAKE HOME MESSAGE AF incidence is higher in breast cancer patients and is associated with later stage and grade at diagnosis of breast cancer. Involving cardio-oncology in those who develop AF after cancer diagnosis should be encouraged to improve their cardiovascular and overall prognosis.
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Alvarez EM, Force LM, Xu R, Compton K, Lu D, Henrikson HJ, Kocarnik JM, Harvey JD, Pennini A, Dean FE, Fu W, Vargas MT, Keegan THM, Ariffin H, Barr RD, Erdomaeva YA, Gunasekera DS, John-Akinola YO, Ketterl TG, Kutluk T, Malogolowkin MH, Mathur P, Radhakrishnan V, Ries LAG, Rodriguez-Galindo C, Sagoyan GB, Sultan I, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdoli A, Abebe H, Abedi A, Abidi H, Abolhassani H, Abubaker Ali H, Abu-Gharbieh E, Achappa B, Acuna JM, Adedeji IA, Adegboye OA, Adnani QES, Advani SM, Afzal MS, Aghaie Meybodi M, Ahadinezhad B, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed MB, Ahmed Rashid T, Ahmed Salih Y, Aiman W, Akalu GT, Al Hamad H, Alahdab F, AlAmodi AA, Alanezi FM, Alanzi TM, Alem AZ, Alem DT, Alemayehu Y, Alhalaiqa FN, Alhassan RK, Ali S, Alicandro G, Alipour V, Aljunid SM, Alkhayyat M, Alluri S, Almasri NA, Al-Maweri SA, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Ameyaw EK, Amini S, Amu H, Ancuceanu R, Andrei CL, Andrei T, Ansari F, Ansari-Moghaddam A, Anvari D, Anyasodor AE, Arabloo J, Arab-Zozani M, Argaw AM, Arshad M, Arulappan J, Aryannejad A, Asemi Z, Asghari Jafarabadi M, Atashzar MR, Atorkey P, Atreya A, Attia S, Aujayeb A, Ausloos M, Avila-Burgos L, Awedew AF, Ayala Quintanilla BP, Ayele AD, Ayen SS, Azab MA, Azadnajafabad S, Azami H, Azangou-Khyavy M, Azari Jafari A, Azarian G, Azzam AY, Bahadory S, Bai J, Baig AA, Baker JL, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Basaleem H, Batiha AMM, Behzadifar M, Bekele NC, Belete R, Belgaumi UI, Bell AW, Berhie AY, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Birara S, Bjørge T, Bolarinwa OA, Bolla SR, Boloor A, Braithwaite D, Brenner H, Bulamu NB, Burkart K, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano dos Santos FL, Cao C, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Chakinala RC, Chakraborty PA, Chattu VK, Chaturvedi P, Chaurasia A, Chavan PP, Chimed-Ochir O, Choi JYJ, Christopher DJ, Chu DT, Chung MT, Conde J, Costa VM, Da'ar OB, Dadras O, Dahlawi SMA, Dai X, Damiani G, D'Amico E, Dandona L, Dandona R, Daneshpajouhnejad P, Darwish AH, Daryani A, De la Hoz FP, Debela SA, Demie TGG, Demissie GD, Demissie ZG, Denova-Gutiérrez E, Derbew Molla M, Desai R, Desta AA, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Dianatinasab M, Didehdar M, Diress M, Djalalinia S, Do HP, Doaei S, Dorostkar F, dos Santos WM, Drake TM, Ekholuenetale M, El Sayed I, El Sayed Zaki M, El Tantawi M, El-Abid H, Elbahnasawy MA, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Enyew DB, Erkhembayar R, Eshrati B, Eskandarieh S, Faisaluddin M, Fares J, Farooque U, Fasanmi AO, Fatima W, Ferreira de Oliveira JMP, Ferrero S, Ferro Desideri L, Fetensa G, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gaewkhiew P, Gallus S, Garg T, Gebremeskel TG, Gemeda BNB, Getachew T, Ghafourifard M, Ghamari SH, Ghashghaee A, Ghassemi F, Ghith N, Gholami A, Gholizadeh Navashenaq J, Gilani SA, Ginindza TG, Gizaw AT, Glasbey JC, Goel A, Golechha M, Goleij P, Golinelli D, Gopalani SV, Gorini G, Goudarzi H, Goulart BNG, Grada A, Gubari MIM, Guerra MR, Guha A, Gupta B, Gupta S, Gupta VB, Gupta VK, Haddadi R, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hambisa MT, Hameed S, Hamidi S, Haque S, Hariri S, Haro JM, Hasaballah AI, Hasan SMM, Hashemi SM, Hassan TS, Hassanipour S, Hay SI, Hayat K, Hebo SH, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Heyi DZ, Hezam K, Hole MK, Holla R, Horita N, Hossain MM, Hossain MB, Hosseini MS, Hosseini M, Hosseinzadeh A, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hussein NR, Hwang BF, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Innos K, Irham LM, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jadidi-Niaragh F, Jain V, Jakovljevic M, Janghorban R, Javadi Mamaghani A, Jayaram S, Jayawardena R, Jazayeri SB, Jebai R, Jha RP, Joo T, Joseph N, Joukar F, Jürisson M, Kaambwa B, Kabir A, Kalankesh LR, Kaliyadan F, Kamal Z, Kamath A, Kandel H, Kar SS, Karaye IM, Karimi A, Kassa BG, Kauppila JH, Kemp Bohan PM, Kengne AP, Kerbo AA, Keykhaei M, Khader YS, Khajuria H, Khalili N, Khalili N, Khan EA, Khan G, Khan M, Khan MN, Khan MAB, Khanali J, Khayamzadeh M, Khosravizadeh O, Khubchandani J, Khundkar R, Kim MS, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kolahi AA, Kopec JA, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Kugbey N, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lan Q, Landires I, Lasrado S, Lauriola P, Ledda C, Lee SW, Lee WC, Lee YY, Lee YH, Leigh J, Leong E, Li B, Li J, Li MC, Lim SS, Liu X, Lobo SW, Loureiro JA, Lugo A, Lunevicius R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahmoudi M, Majeed A, Makki A, Male S, Malekpour MR, Malekzadeh R, Malik AA, Mamun MA, Manafi N, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Martini S, Masoumi SZ, Matei CN, Mathur MR, McAlinden C, Mehrotra R, Mendoza W, Menezes RG, Mentis AFA, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Michalek IM, Miller TR, Mingude AB, Mirmoeeni S, Mirzaei H, Misra S, Mithra P, Mohammad KA, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohammed TA, Moka N, Mokdad AH, Molokhia M, Momtazmanesh S, Monasta L, Moni MA, Moradi G, Moradi Y, Moradzadeh M, Moradzadeh R, Moraga P, Morrison SD, Mostafavi E, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mwanri L, Nabhan AF, Nagaraju SP, Nagata C, Naghavi M, Naimzada MD, Naldi L, Nangia V, Naqvi AA, Narasimha Swamy S, Narayana AI, Nayak BP, Nayak VC, Nazari J, Nduaguba SO, Negoi I, Negru SM, Nejadghaderi SA, Nepal S, Neupane Kandel S, Nggada HA, Nguyen CT, Nnaji CA, Nosrati H, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nwatah VE, Nzoputam CI, Oancea B, Odukoya OO, Oguntade AS, Oh IH, Olagunju AT, Olagunju TO, Olakunde BO, Oluwasanu MM, Omar E, Omar Bali A, Ong S, Onwujekwe OE, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Oumer B, Owolabi MO, P A M, Padron-Monedero A, Padubidri JR, Pakshir K, Pana A, Pandey A, Pardhan S, Pashazadeh Kan F, Pasovic M, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira RB, Peres MFP, Perianayagam A, Postma MJ, Pourjafar H, Pourshams A, Prashant A, Pulakunta T, Qadir MMFF, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Rafiee A, Rafiei A, Rafiei S, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajesh A, Ramezani-Doroh V, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi M, Rashidi MM, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Regasa MT, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rezapour A, Rezazadeh-Khadem S, Riad A, Rios Lopez LE, Rodriguez JAB, Ronfani L, Roshandel G, Rwegerera GM, Saber-Ayad MM, Sabour S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Sahebkar A, Saif-Ur-Rahman KM, Sajadi SM, Salahi S, Salehi S, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Sanmarchi F, Sarveazad A, Sathian B, Sawhney M, Sawyer SM, Saylan M, Schneider IJC, Seidu AA, Šekerija M, Sendo EG, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikhbahaei S, Shetty A, Shetty BSK, Shetty PH, Shin JI, Shirkoohi R, Shivakumar KM, Shobeiri P, Siabani S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva Julian G, Singh AD, Singh JA, Singh JK, Singh S, Sinke AH, Sintayehu Y, Skryabin VY, Skryabina AA, Smith L, Sofi-Mahmudi A, Soltani-Zangbar MS, Song S, Spurlock EE, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Suliankatchi Abdulkader R, Sultana S, Szerencsés V, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabary M, Tabuchi T, Tadbiri H, Taheri M, Taherkhani A, Takahashi K, Tampa M, Tan KK, Tat VY, Tavakoli A, Tbakhi A, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tesfaye B, Thakur JS, Thapar R, Thavamani A, Thiyagarajan A, Thomas N, Tobe-Gai R, Togtmol M, Tohidast SA, Tohidinik HR, Tolani MA, Tollosa DN, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran MTN, Tripathy JP, Tusa BS, Ukke GG, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Ushula TW, Vacante M, Valadan Tahbaz S, Varthya SB, Veroux M, Villeneuve PJ, Violante FS, Vlassov V, Vu GT, Waheed Y, Wang N, Ward P, Weldesenbet AB, Wen YF, Westerman R, Winkler AS, Wubishet BL, Xu S, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazdi-Feyzabadi V, Yazie TS, Yehualashet SS, Yeshaneh A, Yeshaw Y, Yirdaw BW, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yunusa I, Zadnik V, Zahir M, Zahirian Moghadam T, Zamani M, Zamanian M, Zandian H, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Ziapour A, Zoladl M, Murray CJL, Fitzmaurice C, Bleyer A, Bhakta N. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Oncol 2022; 23:27-52. [PMID: 34871551 PMCID: PMC8716339 DOI: 10.1016/s1470-2045(21)00581-7] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. METHODS Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. FINDINGS There were 1·19 million (95% UI 1·11-1·28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5-65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8-57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14·2 [12·9-15·6] per 100 000 person-years) and middle SDI (13·6 [12·6-14·8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23·5 million (21·9-25·2) DALYs to the global burden of disease, of which 2·7% (1·9-3·6) came from YLDs and 97·3% (96·4-98·1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. INTERPRETATION Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. FUNDING Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, St Baldrick's Foundation, and the National Cancer Institute.
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Fonseca M, Cheng E, Do D, Haldar S, Kutty S, Yang EH, Ghosh AK, Guha A. Bradyarrhythmias in Cardio-Oncology. South Asian J Cancer 2021; 10:195-210. [PMID: 34966697 PMCID: PMC8710146 DOI: 10.1055/s-0041-1731907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The relationship between bradyarrhythmias and cancer therapies has not been well described but is increasingly recognized. There have been extensive advances in oncological pharmacotherapy, with several new classes of drugs available including targeted agents, immune checkpoint inhibitors and CAR T cell therapy. This increasing repertoire of available drugs has revolutionized overall prognosis and survival of cancer patients but the true extent of their cardiovascular toxicity is only beginning to be understood. Previous studies and published reviews have traditionally focused on conventional chemotherapies and in arrhythmias in general, particularly tachyarrhythmias. The number of patients with both cancer and cardiovascular problems is increasing globally and oncologists and cardiologists need to be adept at managing arrythmia based scenarios. Greater collaboration between the two specialties including studies with prospective data collection in Cardio-Oncology are much needed to fill in knowledge gaps in this arena. This case-based review summarizes current available evidence of cancer treatment-related bradyarrhythmia incidence (including its different subtypes), possible mechanisms and outcomes. Furthermore, we propose a stepwise surveillance and management protocol for patients with suspected bradyarrhythmia related to cancer treatment.
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Batra A, Patel B, Addison D, Baldassarre LA, Desai N, Weintraub N, Deswal A, Hussain Z, Brown SA, Ganatra S, Agarwala V, Parikh PM, Fradley M, Ghosh A, Guha A. Cardiovascular safety profile of taxanes and vinca alkaloids: 30 years FDA registry experience. Open Heart 2021; 8:openhrt-2021-001849. [PMID: 34952868 PMCID: PMC8710909 DOI: 10.1136/openhrt-2021-001849] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/29/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Antimicrotubular agents are among the most commonly used classes of chemotherapeutic agents, but the risk of cardiovascular adverse events (CVAEs) remains unclear. Our objective was to study the CVAEs associated with antimicrotubular agents. METHODS The Food and Drug Administration's Adverse Event Reporting System was used to study CVAEs in adults from 1990 to 2020. Reported single-agent (only taxane or vinca alkaloid) CVAEs were compared with combination therapy (with at least one of the four major cardiotoxic drugs: anthracycline, HER2Neu inhibitors, tyrosine kinase inhibitors and checkpoint inhibitors) using adjusted polytomous logistic regression. RESULTS Over 30 years, 134 398 adverse events were reported, of which 18 426 (13.4%) were CVAEs, with 74.1% due to taxanes and 25.9% due to vinca alkaloids. In 30 years, there has been a reduction in the proportion of reported CVAEs for taxanes from 15% to 11.8% (Cochran-Armitage P-trends <0.001) with no significant change in the proportion of reported CVAEs for vinca alkaloids (9.2%-11.7%; P-trends=0.06). The proportion of reported CVAEs was lower in both taxane and vinca alkaloid monotherapy versus combination therapy (reporting OR=0.50 and 0.55, respectively). Anthracyclines and HER2Neu inhibitor combinations with taxanes or vinca alkaloids primarily drove the higher burden of combination CVAEs. Hypertension requiring hospitalisation and heart failure was significantly lower in monotherapy versus combination antimicrotubular agent therapy. CONCLUSIONS Antimicrotubular agents are associated with CVAEs, especially in combination chemotherapy regimens. Based on this study, we suggest routine cardiovascular assessment of patients with cancer before initiating antimicrotubular agents in combination therapy.
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Das A, Dasgupta S, Gong Y, Shah UA, Fradley MG, Cheng RK, Roy B, Guha A. Cardiotoxicity as an adverse effect of immunomodulatory drugs and proteasome inhibitors in multiple myeloma: A network meta-analysis of randomized clinical trials. Hematol Oncol 2021; 40:233-242. [PMID: 34940983 DOI: 10.1002/hon.2959] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/01/2021] [Accepted: 12/12/2021] [Indexed: 01/21/2023]
Abstract
We aim to determine the cumulative and comparative risk of cardiovascular events associated with different Immunomodulatory Drugs (iMiDs) and Proteasome Inhibitor (PIs) in Multiple Myeloma (MM) patients through pairwise and network meta-analysis. Electronic searches were conducted using Ovid MEDLINE, EMBASE, CINAHL, Web of Science, and Clinical Trial Registry (Clinical Trials.gov) up to May 2021. Phase 3 randomized clinical trials (RCTs) reporting cardiotoxicity in MM patients (newly diagnoses and/or relapsed) treated with iMiD and/or PI. Studies, where iMiD or PI was used alongside the chemotherapy versus placebo or no additional drugs (control) in the other arm were included. The primary outcome was the presence of cardiotoxicity after follow-up. Pairwise meta-analysis and network meta-analysis were performed using the frequentist's approach to estimate the odds ratio (OR). Twenty RCTs with 10,373 MM patients were included in this analysis. Eleven studies compared iMiDs with control, seven studies compared PIs with control, and two studies compared bortezomib against carfilzomib. CTACE high-grade (≥grade 3) cardiotoxic events were increased with iMiDs compared to their control counterpart (OR 2.05; 95% CI 1.30-3.26). Similar high-grade cardiotoxicity was also noted more frequently with PI use when compared to the control group (OR 1.67; 95% CI 1.17-2.40). Among the PIs, carfilzomib was associated with a maximum risk of cardiotoxicity (OR 2.68; 95% CI 1.63-4.40). There was no evidence of publication bias among studies. iMiDs and PIs, particularly carfilzomib, appear to be associated with increased risk of high-grade cardiovascular events in MM patients.
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Chouairi F, Milner A, Sen S, Guha A, Stewart J, Jastreboff AM, Mori M, Clark KA, Miller PE, Fuery MA, Rogers JG, Notarianni A, Jacoby D, Maulion C, Anwer M, Geirsson A, Desai NR, Ahmad T, Mullan CW. Impact of Obesity on Heart Transplantation Outcomes. J Am Heart Assoc 2021; 10:e021346. [PMID: 34854316 PMCID: PMC9075353 DOI: 10.1161/jaha.121.021346] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background Patients with obesity and advanced heart failure face unique challenges on the path to heart transplantation. There are limited data on waitlist and transplantation outcomes in this population. We aimed to evaluate the impact of obesity on heart transplantation outcomes, and to investigate the effects of the new organ procurement and transplantation network allocation system in this population. Methods and Results This cohort study of adult patients listed for heart transplant used the United Network for Organ Sharing database from January 2006 to June 2020. Patients were stratified by body mass index (BMI) (18.5–24.9, 25–29.9, 30–34.9, 35–39.9, and 40–55 kg/m2). Recipient characteristics and donor characteristics were analyzed. Outcomes analyzed included transplantation, waitlist death, and posttransplant death. BMI 18.5 to 24.9 kg/m2 was used as the reference compared with progressive BMI categories. There were 46 645 patients listed for transplantation. Patients in higher BMI categories were less likely to be transplanted. The lowest likelihood of transplantation was in the highest BMI category, 40 to 55 kg/m2 (hazard ratio [HR], 0.19 [0.05–0.76]; P=0.02). Patients within the 2 highest BMI categories had higher risk of posttransplantation death (HR, 1.29; P<0.001 and HR, 1.65; P<0.001, respectively). Left ventricular assist devices among patients in obese BMI categories decreased after the allocation system change (P<0.001, all). After the change, patients with obesity were more likely to undergo transplantation (BMI 30–35 kg/m2: HR, 1.31 [1.18–1.46], P<0.001; BMI 35–55 kg/m2: HR, 1.29 [1.06–1.58]; P=0.01). Conclusions There was an inverse relationship between BMI and likelihood of heart transplantation. Higher BMI was associated with increased risk of posttransplant mortality. Patients with obesity were more likely to undergo transplantation under the revised allocation system.
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Jain P, Gutierrez Bugarin J, Guha A, Jain C, Patil N, Shen T, Stanevich I, Nikore V, Margolin K, Ernstoff M, Velcheti V, Barnholtz-Sloan J, Dowlati A. Corrigendum to 'Cardiovascular adverse events are associated with usage of immune checkpoint inhibitors in real-world clinical data across the United States': [ESMO Open Volume 6, Issue 5, October 2021, 100252]. ESMO Open 2021; 6:100286. [PMID: 34678570 DOI: 10.1016/j.esmoop.2021.100286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Guha A, Wang X, Harris RA, Nelson AG, Stepp D, Klaassen Z, Raval P, Cortes J, Coughlin SS, Bogdanov VY, Moore JX, Desai N, Miller DD, Lu XY, Kim HW, Weintraub NL. Obesity and the Bidirectional Risk of Cancer and Cardiovascular Diseases in African Americans: Disparity vs. Ancestry. Front Cardiovasc Med 2021; 8:761488. [PMID: 34733899 PMCID: PMC8558482 DOI: 10.3389/fcvm.2021.761488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 09/21/2021] [Indexed: 12/28/2022] Open
Abstract
Cardiovascular disease (CVD) and cancer often occur in the same individuals, in part due to the shared risk factors such as obesity. Obesity promotes adipose inflammation, which is pathogenically linked to both cardiovascular disease and cancer. Compared with Caucasians, the prevalence of obesity is significantly higher in African Americans (AA), who exhibit more pronounced inflammation and, in turn, suffer from a higher burden of CVD and cancer-related mortality. The mechanisms that underlie this association among obesity, inflammation, and the bidirectional risk of CVD and cancer, particularly in AA, remain to be determined. Socio-economic disparities such as lack of access to healthy and affordable food may promote obesity and exacerbate hypertension and other CVD risk factors in AA. In turn, the resulting pro-inflammatory milieu contributes to the higher burden of CVD and cancer in AA. Additionally, biological factors that regulate systemic inflammation may be contributory. Mutations in atypical chemokine receptor 1 (ACKR1), otherwise known as the Duffy antigen receptor for chemokines (DARC), confer protection against malaria. Many AAs carry a mutation in the gene encoding this receptor, resulting in loss of its expression. ACKR1 functions as a decoy chemokine receptor, thus dampening chemokine receptor activation and inflammation. Published and preliminary data in humans and mice genetically deficient in ACKR1 suggest that this common gene mutation may contribute to ethnic susceptibility to obesity-related disease, CVD, and cancer. In this narrative review, we present the evidence regarding obesity-related disparities in the bidirectional risk of CVD and cancer and also discuss the potential association of gene polymorphisms in AAs with emphasis on ACKR1.
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Zhang KW, Guha A. Cardiovascular Events in Men with Prostate Cancer Receiving Hormone Therapy: An Analysis of the FDA Adverse Event Reporting System (FAERS). Reply. J Urol 2021; 207:243. [PMID: 34633228 DOI: 10.1097/ju.0000000000002289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Micah AE, Cogswell IE, Cunningham B, Ezoe S, Harle AC, Maddison ER, McCracken D, Nomura S, Simpson KE, Stutzman HN, Tsakalos G, Wallace LE, Zhao Y, Zende RR, Abbafati C, Abdelmasseh M, Abedi A, Abegaz KH, Abhilash ES, Abolhassani H, Abrigo MRM, Adhikari TB, Afzal S, Ahinkorah BO, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ajami M, Aji B, Akalu Y, Akunna CJ, Al Hamad H, Alam K, Alanezi FM, Alanzi TM, Alemayehu Y, Alhassan RK, Alinia C, Aljunid SM, Almustanyir SA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Amu H, Ancuceanu R, Andrei CL, Andrei T, Angell B, Anjomshoa M, Antonio CAT, Antony CM, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Arrigo A, Ashraf T, Atnafu DD, Ausloos M, Avila-Burgos L, Awan AT, Ayano G, Ayanore MA, Azari S, Azhar GS, Babalola TK, Bahrami MA, Baig AA, Banach M, Barati N, Bärnighausen TW, Barrow A, Basu S, Baune BT, Bayati M, Benzian H, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bibi S, Bijani A, Bodolica V, Bragazzi NL, Braithwaite D, Breitborde NJK, Breusov AV, Briko NI, Busse R, Cahuana-Hurtado L, Callander EJ, Cámera LA, Castañeda-Orjuela CA, Catalá-López F, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chen S, Cicero AFG, Dadras O, Dahlawi SMA, Dai X, Dalal K, Dandona L, Dandona R, Davitoiu DV, De Neve JW, de Sá-Junior AR, Denova-Gutiérrez E, Dhamnetiya D, Dharmaratne SD, Doshmangir L, Dube J, Ehsani-Chimeh E, El Sayed Zaki M, El Tantawi M, Eskandarieh S, Farzadfar F, Ferede TY, Fischer F, Foigt NA, Freitas A, Friedman SD, Fukumoto T, Fullman N, Gaal PA, Gad MM, Garcia-Gordillo MA, Garg T, Ghafourifard M, Ghashghaee A, Gholamian A, Gholamrezanezhad A, Ghozali G, Gilani SA, Glăvan IR, Glushkova EV, Goharinezhad S, Golechha M, Goli S, Guha A, Gupta VB, Gupta VK, Haakenstad A, Haider MR, Hailu A, Hamidi S, Hanif A, Harapan H, Hartono RK, Hasaballah AI, Hassan S, Hassanein MH, Hayat K, Hegazy MI, Heidari G, Hendrie D, Heredia-Pi I, Herteliu C, Hezam K, Holla R, Hossain SJ, Hosseinzadeh M, Hostiuc S, Huda TM, Hwang BF, Iavicoli I, Idrisov B, Ilesanmi OS, Irvani SSN, Islam SMS, Ismail NE, Isola G, Jahani MA, Jahanmehr N, Jakovljevic M, Janodia MD, Javaheri T, Jayapal SK, Jayawardena R, Jazayeri SB, Jha RP, Jonas JB, Joo T, Joukar F, Jürisson M, Kaambwa B, Kalhor R, Kanchan T, Kandel H, Karami Matin B, Karimi SE, Kassahun G, Kayode GA, Kazemi Karyani A, Keikavoosi-Arani L, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan J, Khubchandani J, Kianipour N, Kim GR, Kim YJ, Kisa A, Kisa S, Kohler S, Kosen S, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kumar GA, Kusuma D, Lamnisos D, Lansingh VC, Larsson AO, Lasrado S, Le LKD, Lee SWH, Lee YY, Lim SS, Lobo SW, Lozano R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahdavi MM, Majeed A, Makki A, Maleki A, Malekzadeh R, Manda AL, Mansour-Ghanaei F, Mansournia MA, Marrugo Arnedo CA, Martinez-Valle A, Masoumi SZ, Maude RJ, McKee M, Medina-Solís CE, Menezes RG, Meretoja A, Meretoja TJ, Mesregah MK, Mestrovic T, Milevska Kostova N, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mohajer B, Mohamed TA, Mohammadi M, Mohammadian-Hafshejani A, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Moni MA, Moradi Y, Morze J, Mousavi SM, Mpundu-Kaambwa C, Muriithi MK, Muthupandian S, Nagarajan AJ, Naimzada MD, Nangia V, Naqvi AA, Narayana AI, Nascimento BR, Naveed M, Nayak BP, Nazari J, Ndejjo R, Negoi I, Neupane Kandel S, Nguyen TH, Nonvignon J, Noubiap JJ, Nwatah VE, Oancea B, Ojelabi FAO, Olagunju AT, Olakunde BO, Olgiati S, Olusanya JO, Onwujekwe OE, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, Padubidri JR, Palladino R, Panda-Jonas S, Park EC, Pashazadeh Kan F, Pawar S, Pazoki Toroudi H, Pereira DM, Perianayagam A, Pesudovs K, Piccinelli C, Postma MJ, Prada SI, Rabiee M, Rabiee N, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman M, Rahmani AM, Ram U, Ranabhat CL, Ranasinghe P, Rao CR, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Reiner Jr RC, Renzaho AMN, Reshmi B, Riaz MA, Ripon RK, Saad AM, Sahraian MA, Sahu M, Salama JS, Salehi S, Samy AM, Sanabria J, Sanmarchi F, Santos JV, Santric-Milicevic MM, Sathian B, Savic M, Saxena D, Sayyah M, Schwendicke F, Senthilkumaran S, Sepanlou SG, Seylani A, Shahabi S, Shaikh MA, Sheikh A, Shetty A, Shetty PH, Shibuya K, Shrime MG, Shuja KH, Singh JA, Skryabin VY, Skryabina AA, Soltani S, Soofi M, Spurlock EE, Stefan SC, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Taddele BW, Tefera YG, Thavamani A, Tobe-Gai R, Topor-Madry R, Tovani-Palone MR, Tran BX, Tudor Car L, Ullah A, Ullah S, Umar N, Undurraga EA, Valdez PR, Vasankari TJ, Villafañe JH, Violante FS, Vlassov V, Vo B, Vollmer S, Vos T, Vu GT, Vu LG, Wamai RG, Werdecker A, Woldekidan MA, Wubishet BL, Xu G, Yaya S, Yazdi-Feyzabadi V, Yiğit V, Yip P, Yirdaw BW, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zahirian Moghadam T, Zandian H, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Ziapour A, Zuniga YMH, Hay SI, Murray CJL, Dieleman JL. Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050. Lancet 2021; 398:1317-1343. [PMID: 34562388 PMCID: PMC8457757 DOI: 10.1016/s0140-6736(21)01258-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/15/2021] [Accepted: 05/20/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. METHODS We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. FINDINGS In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7-8·8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, $40·4 billion (0·5%, 95% UI 0·5-0·5) was development assistance for health provided to low-income and middle-income countries, which made up 24·6% (UI 24·0-25·1) of total spending in low-income countries. We estimate that $54·8 billion in development assistance for health was disbursed in 2020. Of this, $13·7 billion was targeted toward the COVID-19 health response. $12·3 billion was newly committed and $1·4 billion was repurposed from existing health projects. $3·1 billion (22·4%) of the funds focused on country-level coordination and $2·4 billion (17·9%) was for supply chain and logistics. Only $714·4 million (7·7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34·3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to $1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. INTERPRETATION Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. FUNDING Bill & Melinda Gates Foundation.
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Clark KAA, Reinhardt SW, Chouairi F, Miller PE, Kay B, Fuery M, Guha A, Ahmad T, Desai NR. Trends in Heart Failure Hospitalizations in the US from 2008 to 2018. J Card Fail 2021; 28:171-180. [PMID: 34534665 DOI: 10.1016/j.cardfail.2021.08.020] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/28/2021] [Accepted: 08/31/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND Heart failure (HF) is a major driver of health care costs in the United States and is increasing in prevalence. There is a paucity of contemporary data examining trends among hospitalizations for HF that specifically compare HF with reduced or preserved ejection fraction (HFrEF or HFpEF, respectively). METHODS AND RESULTS Using the National Inpatient Sample, we identified 11,692,995 hospitalizations due to HF. Hospitalizations increased from 1,060,540 in 2008 to 1,270,360 in 2018. Over time, the median age of patients hospitalized because of HF decreased from 76.0 to 73.0 years (P < 0.001). There were increases in the proportions of Black patients (18.4% in 2008 to 21.2% in 2018) and of Hispanic patients (7.1% in 2008 to 9.0% in 2018; P < 0.001, all). Over the study period, we saw an increase in comorbid diabetes, sleep apnea and obesity (P < 0.001, all) in the entire cohort with HF as well as in the HFrEF and HFpEF subgroups. Persons admitted because of HFpEF were more likely to be white and older compared to admissions because of HFrEF and also had lower costs. Inpatient mortality decreased from 2008 to 2018 for overall HF (3.3% to 2.6%) and HFpEF (2.4% to 2.1%; P < 0.001, all) but was stable for HFrEF (2.8%, both years). Hospital costs, adjusted for inflation, decreased in all 3 groups across the study period, whereas length of stay was relatively stable over time for all groups. CONCLUSIONS The volume of patients hospitalized due to HF has increased over time and across subgroups of ejection fraction. The demographics of HF, HFrEF and HFpEF have become more diverse over time, and hospital inpatient costs have decreased, regardless of HF type. Inpatient mortality rates improved for overall HF and HFpEF admissions but remained stable for HFrEF admissions.
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Chouairi F, Miller PE, Guha A, Clarke JR, Reinhardt SW, Ahmad T, Freeman JV, Desai NR, Friedman DJ. Cannabis use disorder among atrial fibrillation admissions, 2008-2018. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2021; 44:1934-1938. [PMID: 34506639 DOI: 10.1111/pace.14356] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 08/06/2021] [Accepted: 09/05/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite changes inthe legality of cannabis use and the increasing prevalence of cannabis use disorder (CUD), there is little data investigating the association between CUD and inpatient atrial fibrillation (AF) hospitalizations. METHODS Using the National Inpatient Sample, we identified Atrial Fibrillation (AF) hospitalizations with and without a codiagnosis of CUD using International Classification of Diseases diagnosis codes and compared demographics, socioeconomics, comorbidities, outcomes, and trends between cohorts. RESULTS Between 2008 and 2018, we identified 5,155,789 admissions for AF of which 31,768 (0.6%) had a codiagnosis of CUD. The proportion of admissions with a history of CUD increased from 0.3% in 2008 to 1.0% in 2018 (p < .001). Hospital discharges of patients with CUD were significantly younger (53 vs. 72 years, p < .001), had a higher proportion of black race (CUD: 26.6% vs. 8.0%, p < .001), and had a higher proportion of income in the lowest income quartile than without a codiagnosis of CUD (CUD: 40.5% vs. 26.2%, p < .001). CONCLUSIONS CUD is increasingly prevalent among AF hospitalizations, particularly among young patients. Codiagnosis of CUD in AF hospitalizations is also more common in underserved patients. As a result, it is important for future research to examine and understand the impact of CUD on this population, particularly in the light of changing legislation surrounding the legality of cannabis.
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Chouairi F, Fuery M, Clark KA, Mullan CW, Stewart J, Caraballo C, Clarke JRD, Sen S, Guha A, Ibrahim NE, Cole RT, Holaday L, Anwer M, Geirsson A, Rogers JG, Velazquez EJ, Desai NR, Ahmad T, Miller PE. Evaluation of Racial and Ethnic Disparities in Cardiac Transplantation. J Am Heart Assoc 2021; 10:e021067. [PMID: 34431324 PMCID: PMC8649228 DOI: 10.1161/jaha.120.021067] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Racial and ethnic disparities contribute to differences in access and outcomes for patients undergoing heart transplantation. We evaluated contemporary outcomes for heart transplantation stratified by race and ethnicity as well as the new 2018 allocation system. Methods and Results Adult heart recipients from 2011 to 2020 were identified in the United Network for Organ Sharing database and stratified into 3 groups: Black, Hispanic, and White. We analyzed recipient and donor characteristics, and outcomes. Among 32 353 patients (25% Black, 9% Hispanic, 66% White), Black and Hispanic patients were younger, more likely to be women and have diabetes mellitus or renal disease (all, P<0.05). Over the study period, the proportion of Black and Hispanic patients listed for transplant increased: 21.7% to 28.2% (P=0.003) and 7.7% to 9.0% (P=0.002), respectively. Compared with White patients, Black patients were less likely to undergo transplantation (adjusted hazard ratio [aHR], 0.87; CI, 0.84-0.90; P<0.001), but had a higher risk of post-transplant death (aHR, 1.14; CI, 1.04-1.24; P=0.004). There were no differences in transplantation likelihood or post-transplant mortality between Hispanic and White patients. Following the allocation system change, transplantation rates increased for all groups (P<0.05). However, Black patients still had a lower likelihood of transplantation than White patients (aHR, 0.90; CI, 0.79-0.99; P=0.024). Conclusions Although the proportion of Black and Hispanic patients listed for cardiac transplantation have increased, significant disparities remain. Compared with White patients, Black patients were less likely to be transplanted, even with the new allocation system, and had a higher risk of post-transplantation death.
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Brown SA, Yang EH, Reza N, Guha A, Ismail-Khan R, Pemmaraju N, Fradley MG, Lopez-Mattei J. #JACCCardioOnc: Evolution of a Dedicated Social Media Strategy for JACC: CardioOncology. JACC CardioOncol 2021; 3:461-464. [PMID: 34604810 PMCID: PMC8463728 DOI: 10.1016/j.jaccao.2021.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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Jain P, Gutierrez Bugarin J, Guha A, Jain C, Patil N, Shen T, Stanevich I, Nikore V, Margolin K, Ernstoff M, Velcheti V, Barnholtz-Sloan J, Dowlati A. Cardiovascular adverse events are associated with usage of immune checkpoint inhibitors in real-world clinical data across the United States. ESMO Open 2021; 6:100252. [PMID: 34461483 PMCID: PMC8403739 DOI: 10.1016/j.esmoop.2021.100252] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/23/2021] [Accepted: 08/01/2021] [Indexed: 11/23/2022] Open
Abstract
Background Immune checkpoint inhibitors (ICIs) can cause life-threatening cardiovascular adverse events (CVAEs) that may not be attributed to therapy. The outcomes of clinical trials may underestimate treatment-related adverse events due to restrictive eligibility, limited sample size, and failure to anticipate selected toxicities. We evaluated the incidence and clinical determinants of CVAEs in real-world population on ICI therapy. Patients and methods Among 2 687 301 patients diagnosed with cancer from 2011 to 2018, 16 574 received ICIs for any cancer. Patients in the ICI and non-ICI cohorts were matched in a 1 : 1 ratio according to age, sex, National Cancer Institute comorbidity score, and primary cancer. The non-ICI cohort was stratified into patients who received chemotherapy (N = 2875) or targeted agents (N = 4611). All CVAEs, non-cardiac immune-related adverse events occurring after treatment initiation, baseline comorbidities, and treatment details were identified and analyzed using diagnosis and billing codes. Results Median age was 61 and 65 years in the ICI and non-ICI cohorts, respectively (P < 0.001). ICI patients were predominantly male (P < 0.001). Lung cancer (43.1%), melanoma (30.4%), and renal cell carcinoma (9.9%) were the most common cancer types. CVAE diagnoses in our dataset by incidence proportion (ICI cohort) were stroke (4.6%), heart failure (3.5%), atrial fibrillation (2.1%), conduction disorders (1.5%), myocardial infarction (0.9%), myocarditis (0.05%), vasculitis (0.05%), and pericarditis (0.2%). Anti-cytotoxic T-lymphocyte-associated protein 4 increased the risk of heart failure [versus anti-programmed cell death protein 1; hazard ratio (HR), 1.9; 95% confidence interval (CI) 1.27-2.84] and stroke (HR, 1.7; 95% CI 1.3-2.22). Pneumonitis was associated with heart failure (HR, 2.61; 95% CI 1.23-5.52) and encephalitis with conduction disorders (HR, 4.35; 95% CI 1.6-11.87) in patients on ICIs. Advanced age, primary cancer, nephritis, and anti-cytotoxic T-lymphocyte-associated protein 4 therapy were commonly associated with CVAEs in the adjusted Cox proportional hazards model. Conclusions Our findings underscore the importance of risk stratification and cardiovascular monitoring for patients on ICI therapy. Patient claims data across the United States were used to study cardiovascular adverse events (CVAEs) after ICI treatment. Patients on ICI treatment for advanced cancer have a higher incidence of CVAEs than previously reported. Median time to CVAE onset was significantly shorter with ICIs (~3 months) than with non-ICI systemic therapy (~8 months). Anti-CTLA-4 monotherapy or combination had a higher risk of heart failure and stroke than anti-PD-1 therapy (1.5-2 folds). Age, male sex, cancer type, nephritis, pneumonitis, and anti-CTLA-4 therapy were associated with a higher risk of CVAEs.
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Guha A, Desai NR, Weintraub NL. Assessing cardiovascular risk in cancer patients: opportunities and challenges. Eur J Prev Cardiol 2021; 28:e45-e46. [PMID: 32718234 PMCID: PMC8005777 DOI: 10.1177/2047487320943002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Rosmini S, Aggarwal A, Chen DH, Conibear J, Davies CL, Dey AK, Edwards P, Guha A, Ghosh AK. Cardiac computed tomography in cardio-oncology: an update on recent clinical applications. Eur Heart J Cardiovasc Imaging 2021; 22:397-405. [PMID: 33555007 DOI: 10.1093/ehjci/jeaa351] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/08/2020] [Indexed: 01/07/2023] Open
Abstract
Chemotherapy and radiotherapy have drastically improved cancer survival, but they can result in significant short- and long-term cardiovascular complications, most commonly heart failure from chemotherapy, whilst radiotherapy increases the risk of premature coronary artery disease (CAD), valve, and pericardial diseases. Cardiac computed tomography (CT) with calcium scoring has a role in screening asymptomatic patients for premature CAD, cardiac CT angiography (CTCA) allows the identification of significant CAD, also in the acute settings where concerns exist towards invasive angiography. CTCA integrates the diagnostic work-up and guides surgical/percutaneous management of valvular heart diseases and allows the assessment of pericardial conditions, including detection of effusion and pericardial calcification. It is a widely available and fast imaging modality that allows a one-step evaluation of CAD, myocardial, valvular, and pericardial disease. This review aims to provide an update on its current use and accompanying evidence-base for cardiac CT in the management of cardio-oncology patients.
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Brammer JE, Braunstein Z, Katapadi A, Porter K, Biersmith M, Guha A, Vasu S, Yildiz VO, Smith SA, Buck B, Haddad D, Gumina R, William BM, Penza S, Saad A, Denlinger N, Vallakati A, Baliga R, Benza R, Binkley P, Wei L, Mocarski M, Devine SM, Jaglowski S, Addison D. Early toxicity and clinical outcomes after chimeric antigen receptor T-cell (CAR-T) therapy for lymphoma. J Immunother Cancer 2021; 9:e002303. [PMID: 34429331 PMCID: PMC8386216 DOI: 10.1136/jitc-2020-002303] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/09/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Chimeric antigen receptor T-cell (CAR-T) infusion is associated with early toxicity. Yet, whether early toxicity development holds ramifications for long-term outcomes is unknown. METHODS From a large cohort of consecutive adult patients treated with CAR-T therapies for relapsed or refractory lymphomas from 2016 to 2019, we assessed progression-free survival (PFS), by toxicity development (cytokine release syndrome (CRS), neurotoxicity, or cardiotoxicity]. We also assessed the relationship of toxicity development to objective disease response, and overall survival (OS). Multivariable regression was utilized to evaluate relationships between standard clinical and laboratory measures and disease outcomes. Differences in outcomes, by toxicity status, were also assessed via 30-day landmark analysis. Furthermore, we assessed the effects of early anti-CRS toxicity therapy use (at ≤grade 2 toxicity) on maximum toxicity grade observed, and long-term disease outcomes (PFS and OS). RESULTS Overall, from 102 CAR-T-treated patients, 90 were identified as treated with single-agent therapy, of which 88.9% developed toxicity (80 CRS, 41 neurotoxicity, and 17 cardiotoxicity), including 28.9% with high-grade (≥3) events. The most common manifestations were hypotension at 96.6% and fever at 94.8%. Among patients with cardiac events, there was a non-significant trend toward a higher prevalence of concurrent or preceding high-grade (≥3) CRS. 50.0% required tocilizumab or corticosteroids. The median time to toxicity was 3 days; high grade CRS development was associated with cardiac and neurotoxicity. In multivariable regression, accounting for disease severity and traditional predictors of disease response, moderate (maximum grade 2) CRS development was associated with higher complete response at 1 year (HR: 2.34; p=0.07), and longer PFS (HR: 0.41; p=0.02, in landmark analysis), and OS (HR: 0.43; p=0.03). Among those with CRS, relative blood pressure (HR: 2.25; p=0.004), respectively, also associated with improved PFS. There was no difference in disease outcomes, or maximum toxicity grade (CRS, neurotoxicity, or cardiotoxicity) observed, based on the presence or absence of the use of early CRS-directed therapies. CONCLUSIONS Among adult lymphoma patients, moderate toxicity manifest as grade 2 CRS after CAR-T infusion may associate with favorable clinical outcomes. Further studies are needed to confirm these findings.
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Hussain Z, Baldassarre L, Dent S, Weintraub NL, Guha A. Adverse thrombo-embolic events with newer tyrosine kinase inhibitors: a call to action for better risk stratification and monitoring. Eur J Prev Cardiol 2021; 29:1309-1311. [PMID: 34219160 DOI: 10.1093/eurjpc/zwab055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Kendrick PJ, Reitsma MB, Abbasi-Kangevari M, Abdoli A, Abdollahi M, Abedi A, Abhilash ES, Aboyans V, Adebayo OM, Advani SM, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akalu Y, Akunna CJ, Alahdab F, Al-Aly Z, Alanezi FM, Alanzi TM, Alhabib KF, Ali T, Alif SM, Alipour V, Aljunid SM, Alomari MA, Amin TT, Amini S, Amu H, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Ansari-Moghaddam A, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Artanti KD, Asmare WN, Atnafu DD, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Banach M, Banerjee SK, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Bekuma TT, Bennett DA, Bensenor IM, Benzian H, Benziger CP, Berman AE, Bhagavathula AS, Bhala N, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Carreras G, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chaturvedi P, Chen S, Chido-Amajuoyi OG, Chu DT, Chung SC, Ciobanu LG, Costa VM, Couto RAS, Dagnew B, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Derbew Molla M, Desta AA, Dharmaratne SD, Dhimal M, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Effiong A, El Tantawi M, Elbarazi I, Esmaeilnejad S, Fadhil I, Faraon EJA, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gallus S, Geberemariyam BS, Gebregiorgis BG, Getacher L, Getachew Obsa A, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Gil GF, Gill PS, Ginawi IA, Goharinezhad S, Golechha M, Gopalani SV, Gorini G, Grivna M, Guha A, Guimarães RA, Guo Y, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Holla R, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsiao T, Huang J, Ibeneme CU, Ibitoye SE, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Jaafari J, Jain V, Jakovljevic M, Jang SI, Jayaram S, Jeemon P, Jha RP, Jonas JB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karch A, Karimi SE, Kebede KM, Kelkay B, Kennedy RD, Khader YS, Khan EA, Khayamzadeh M, Kim GR, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Liu W, Lugo A, Madhava Kunjathur S, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martini S, Mathur MR, Mathur P, Mazidi M, McKee M, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Miazgowski B, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Misra S, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Nagaraju SP, Naghavi M, Naik N, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nazari J, Nduaguba SO, Negoi RI, Neupane Kandel S, Nguyen HLT, Nigatu YT, Nixon MR, Nnaji CA, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Owolabi MO, P A M, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Pathak M, Pawar S, Pestell RG, Pham HQ, Pinheiro M, Pokhrel KN, Pourshams A, Prashant A, Radfar A, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Rahmani AM, Ram P, Rana J, Ranabhat CL, Rathi P, Rawaf DL, Rawaf S, Rawassizadeh R, Renzaho AMN, Rezapour A, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Sao Jose BP, Sathian B, Sawhney M, Saya GK, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Shafaat O, Shah SM, Shaikh MA, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Skryabin VY, Skryabina AA, Soroush A, Soyiri IN, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Thakur B, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tymeson HD, Ullah S, Unim B, Updike RL, Uthman OA, Vacante M, Vardavas C, Venketasubramanian N, Verma M, Vidale S, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Wubishet BL, Yamagishi K, Yano Y, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yousefi Z, Yu C, Yunusa I, Yusefzadeh H, Zaman MS, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Public Health 2021; 6:e482-e499. [PMID: 34051920 PMCID: PMC8251505 DOI: 10.1016/s2468-2667(21)00065-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chewing tobacco and other types of smokeless tobacco use have had less attention from the global health community than smoked tobacco use. However, the practice is popular in many parts of the world and has been linked to several adverse health outcomes. Understanding trends in prevalence with age, over time, and by location and sex is important for policy setting and in relation to monitoring and assessing commitment to the WHO Framework Convention on Tobacco Control. METHODS We estimated prevalence of chewing tobacco use as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 using a modelling strategy that used information on multiple types of smokeless tobacco products. We generated a time series of prevalence of chewing tobacco use among individuals aged 15 years and older from 1990 to 2019 in 204 countries and territories, including age-sex specific estimates. We also compared these trends to those of smoked tobacco over the same time period. FINDINGS In 2019, 273·9 million (95% uncertainty interval 258·5 to 290·9) people aged 15 years and older used chewing tobacco, and the global age-standardised prevalence of chewing tobacco use was 4·72% (4·46 to 5·01). 228·2 million (213·6 to 244·7; 83·29% [82·15 to 84·42]) chewing tobacco users lived in the south Asia region. Prevalence among young people aged 15-19 years was over 10% in seven locations in 2019. Although global age-standardised prevalence of smoking tobacco use decreased significantly between 1990 and 2019 (annualised rate of change: -1·21% [-1·26 to -1·16]), similar progress was not observed for chewing tobacco (0·46% [0·13 to 0·79]). Among the 12 highest prevalence countries (Bangladesh, Bhutan, Cambodia, India, Madagascar, Marshall Islands, Myanmar, Nepal, Pakistan, Palau, Sri Lanka, and Yemen), only Yemen had a significant decrease in the prevalence of chewing tobacco use, which was among males between 1990 and 2019 (-0·94% [-1·72 to -0·14]), compared with nine of 12 countries that had significant decreases in the prevalence of smoking tobacco. Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. INTERPRETATION Chewing tobacco remains a substantial public health problem in several regions of the world, and predominantly in south Asia. We found little change in the prevalence of chewing tobacco use between 1990 and 2019, and that control efforts have had much larger effects on the prevalence of smoking tobacco use than on chewing tobacco use in some countries. Mitigating the health effects of chewing tobacco requires stronger regulations and policies that specifically target use of chewing tobacco, especially in countries with high prevalence. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abedi A, Abhilash ES, Abila DB, Aboyans V, Abu-Rmeileh NME, Adebayo OM, Advani SM, Aghaali M, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akunna CJ, Al-Aly Z, Alanzi TM, Alhabib KF, Ali L, Alif SM, Alipour V, Aljunid SM, Alla F, Allebeck P, Alvis-Guzman N, Amin TT, Amini S, Amu H, Amul GGH, Ancuceanu R, Anderson JA, Ansari-Moghaddam A, Antonio CAT, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Asaad M, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Bakhshaei MH, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Behzadifar M, Bekuma TT, Bennett DA, Bensenor IM, Berfield KSS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Bintoro BS, Biondi A, Birara S, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Butt ZA, Caetano dos Santos FL, Cámera LA, Car J, Cárdenas R, Carreras G, Carrero JJ, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chen S, Chu DT, Chung SC, Cirillo M, Costa VM, Couto RAS, Dadras O, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Davletov K, Derbew Molla M, Dessie GA, Desta AA, Dharmaratne SD, Dianatinasab M, Diaz D, Do HT, Douiri A, Duncan BB, Duraes AR, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Elbarazi I, El Tantawi M, Esmaeilnejad S, Fadhil I, Faraon EJA, Farinha CSES, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Fernandez Prendes C, Ferrara P, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gaidhane AM, Gallus S, Geberemariyam BS, Ghafourifard M, Ghajar A, Ghashghaee A, Giampaoli S, Gill PS, Glozah FN, Gnedovskaya EV, Golechha M, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Greaves F, Guha A, Guo Y, Gupta B, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hartono RK, Hassankhani H, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Hole MK, Holla R, Hosseinzadeh M, Hostiuc S, Househ M, Hsiao T, Huang J, Iannucci VC, Ibitoye SE, Idrisov B, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Iwagami M, Jaafari J, Jain V, Jakovljevic M, Jang SI, Janjani H, Jayaram S, Jeemon P, Jha RP, Jonas JB, Joo T, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karimi SE, Katikireddi SV, Kebede HK, Kelkay B, Kennedy RD, Khoja AT, Khubchandani J, Kim GR, Kim YE, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Lam JO, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Linn S, Liu W, Lopez AD, Lopukhov PD, Lorkowski S, Lugo A, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martini S, Mathur MR, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Meretoja A, Meretoja TJ, Miazgowski B, Michalek IM, Miller TR, Mirrakhimov EM, Mirzaei H, Mirzaei-Alavijeh M, Misra S, Moghadaszadeh M, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moni MA, Moradi G, Moradi-Lakeh M, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Naghavi M, Naghshtabrizi B, Nair S, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nayak S, Nayak VC, Nazari J, Nduaguba SO, Neupane Kandel S, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Nixon MR, Nnaji CA, Norrving B, Noubiap JJ, Nowak C, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Oren E, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pakhale S, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Patton GC, Pawar S, Pestell RG, Pinheiro M, Piradov MA, Pirouzpanah S, Pokhrel KN, Polibin RV, Prashant A, Pribadi DRA, Radfar A, Rahimi-Movaghar V, Rahman A, Rahman MHU, Rahman MA, Rahmani AM, Rajai N, Ram P, Ranabhat CL, Rathi P, Rawal L, Renzaho AMN, Reynales-Shigematsu LM, Rezapour A, Riahi SM, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Sacco S, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sawhney M, Saylan M, Schaub MP, Schmidt MI, Schneider IJC, Schutte AE, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Seylani A, Shafaat O, Shah SM, Shaikh MA, Shalash AS, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Sitas F, Skryabin VY, Skryabina AA, Soboka M, Soriano JB, Soroush A, Soshnikov S, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadakamadla SK, Taddele BW, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Temsah MH, Thankappan KR, Thapar R, Tichopad A, Tolani MA, Topouzis F, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tsilimparis N, Tymeson HD, Ullah A, Ullah S, Unim B, Updike RL, Vacante M, Valdez PR, Vardavas C, Varona Pérez P, Vasankari TJ, Venketasubramanian N, Verma M, Vetrova MV, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Yamagishi K, Yandrapalli S, Yatsuya H, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yu C, Yunusa I, Yusefzadeh H, Zahirian Moghadam T, Zaman MS, Zamanian M, Zandian H, Zar HJ, Zastrozhin MS, Zastrozhina A, Zavala-Arciniega L, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet 2021; 397:2337-2360. [PMID: 34051883 PMCID: PMC8223261 DOI: 10.1016/s0140-6736(21)01169-7] [Citation(s) in RCA: 496] [Impact Index Per Article: 165.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/15/2021] [Accepted: 05/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Ending the global tobacco epidemic is a defining challenge in global health. Timely and comprehensive estimates of the prevalence of smoking tobacco use and attributable disease burden are needed to guide tobacco control efforts nationally and globally. METHODS We estimated the prevalence of smoking tobacco use and attributable disease burden for 204 countries and territories, by age and sex, from 1990 to 2019 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We modelled multiple smoking-related indicators from 3625 nationally representative surveys. We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. We used a direct estimation approach to estimate attributable burden, providing more comprehensive estimates of the health effects of smoking than previously available. FINDINGS Globally in 2019, 1·14 billion (95% uncertainty interval 1·13-1·16) individuals were current smokers, who consumed 7·41 trillion (7·11-7·74) cigarette-equivalents of tobacco in 2019. Although prevalence of smoking had decreased significantly since 1990 among both males (27·5% [26·5-28·5] reduction) and females (37·7% [35·4-39·9] reduction) aged 15 years and older, population growth has led to a significant increase in the total number of smokers from 0·99 billion (0·98-1·00) in 1990. Globally in 2019, smoking tobacco use accounted for 7·69 million (7·16-8·20) deaths and 200 million (185-214) disability-adjusted life-years, and was the leading risk factor for death among males (20·2% [19·3-21·1] of male deaths). 6·68 million [86·9%] of 7·69 million deaths attributable to smoking tobacco use were among current smokers. INTERPRETATION In the absence of intervention, the annual toll of 7·69 million deaths and 200 million disability-adjusted life-years attributable to smoking will increase over the coming decades. Substantial progress in reducing the prevalence of smoking tobacco use has been observed in countries from all regions and at all stages of development, but a large implementation gap remains for tobacco control. Countries have a clear and urgent opportunity to pass strong, evidence-based policies to accelerate reductions in the prevalence of smoking and reap massive health benefits for their citizens. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Kay B, Chouairi F, Clark KAA, Reinhardt SW, Fuery M, Guha A, Ahmad T, Kaple RK, Desai NR. Comparison of Transcatheter and Open Mitral Valve Repair Among Patients With Mitral Regurgitation. Mayo Clin Proc 2021; 96:1522-1529. [PMID: 34088415 DOI: 10.1016/j.mayocp.2021.01.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 12/15/2020] [Accepted: 01/21/2021] [Indexed: 11/24/2022]
Abstract
In 2013, the Food and Drug Administration approved the first transcatheter mitral valve repair (TMVr) device for degenerative mitral regurgitation for patients at prohibitive surgical risk. To better understand contemporary utilization trends and outcomes, we reviewed hospitalizations, identified using International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes, in which the patient underwent TMVr or mitral valve repair (MVr) with a diagnosis of mitral regurgitation, without stenosis, from the National (Nationwide) Inpatient Sample from 2014 to 2017. We included 10,020 hospitalizations in which the patient underwent TMVr and 5845 in which the patient underwent MVr and assessed trends in demographic characteristics, patient comorbidities, total hospital charges, and outcomes. Transcatheter mitral valve repair experienced exponential growth, increasing from 150 to 5115 over the study period (P<.001 for trend), whereas MVr grew to a lesser degree. The median length of stay for TMVr decreased from 4 to 2 days; mortality declined from 3.3% to 1.6% (P<.001 for both). Both TMVr and MVr rates of discharge home increased over the study period. Total charges for TMVr increased from $149,582 to $178,109, whereas those for MVr increased to a lesser degree, from $149,426 to $157,146 (P<.001 for both). Discharge disposition, length of stay, and in-hospital mortality all exhibited favorable trends for both procedures. Caution must be exercised in direct comparisons between procedures as they target somewhat different populations. With expanded indications for TMVr, we anticipate further increases in procedural volume, although the effect on MVr remains unclear.
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Guha A, Jain P, Fradley MG, Lenihan D, Gutierrez JM, Jain C, de Lima M, Barnholtz‐Sloan JS, Oliveira GH, Dowlati A, Al‐Kindi S. Cardiovascular adverse events associated with BRAF versus BRAF/MEK inhibitor: Cross-sectional and longitudinal analysis using two large national registries. Cancer Med 2021; 10:3862-3872. [PMID: 33982883 PMCID: PMC8209554 DOI: 10.1002/cam4.3938] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 04/04/2021] [Accepted: 04/05/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Cardiovascular adverse events (CVAEs) associated with BRAF inhibitors alone versus combination BRAF/MEK inhibitors are not fully understood. METHODS This study included all adult patients who received BRAF inhibitors (vemurafenib, dabrafenib, encorafenib) or combinations BRAF/MEK inhibitors (vemurafenib/cobimetinib; dabrafenib/trametinib; encorafenib/binimetinib). We utilized the cross-sectional FDA's Adverse Events Reporting System (FAERS) and longitudinal Truven Health Analytics/IBM MarketScan database from 2011 to 2018. Various CVAEs, including arterial hypertension, heart failure (HF), and venous thromboembolism (VTE), were studied using adjusted regression techniques. RESULTS In FAERS, 7752 AEs were reported (40% BRAF and 60% BRAF/MEK). Median age was 60 (IQR 49-69) years with 45% females and 97% with melanoma. Among these, 567 (7.4%) were cardiovascular adverse events (mortality rate 19%). Compared with monotherapy, combination therapy was associated with increased risk for HF (reporting odds ratio [ROR] = 1.62 (CI = 1.14-2.30); p = 0.007), arterial hypertension (ROR = 1.75 (CI = 1.12-2.89); p = 0.02) and VTE (ROR = 1.80 (CI = 1.12-2.89); p = 0.02). Marketscan had 657 patients with median age of 53 years (IQR 46-60), 39.3% female, and 88.7% with melanoma. There were 26.2% CVAEs (CI: 14.8%-36%) within 6 months of medication start in those receiving combination therapy versus 16.7% CVAEs (CI: 13.1%-20.2%) among those receiving monotherapy. Combination therapy was associated with CVAEs compared to monotherapy (adjusted HR: 1.56 (CI: 1.01-2.42); p = 0.045). CONCLUSIONS AND RELEVANCE In two independent real-world cohorts, combination BRAF/MEK inhibitors were associated with increased CVAEs compared to monotherapy, especially HF, and hypertension.
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Reinhardt SW, Chouairi F, Miller PE, Clark KAA, Kay B, Fuery M, Guha A, Freeman JV, Ahmad T, Desai NR, Friedman DJ. National Trends in the Burden of Atrial Fibrillation During Hospital Admissions for Heart Failure. J Am Heart Assoc 2021; 10:e019412. [PMID: 34013736 PMCID: PMC8483517 DOI: 10.1161/jaha.120.019412] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Background Heart failure (HF) and atrial fibrillation (AF) frequently coexist and may be associated with worse HF outcomes, but there is limited contemporary evidence describing their combined prevalence. We examined current trends in AF among hospitalizations for HF with preserved (HFpEF) ejection fraction or HF with reduced ejection fraction (HFrEF) in the United States, including outcomes and costs. Methods and Results Using the National Inpatient Sample, we identified 10 392 189 hospitalizations for HF between 2008 and 2017, including 4 250 698 with comorbid AF (40.9%). HF hospitalizations with AF involved patients who were older (average age, 76.9 versus 68.8 years) and more likely White individuals (77.8% versus 59.1%; P<0.001 for both). HF with preserved ejection fraction hospitalizations had more comorbid AF than HF with reduced ejection fraction (44.9% versus 40.8%). Over time, the proportion of comorbid AF increased from 35.4% in 2008 to 45.4% in 2017, and patients were younger, more commonly men, and Black or Hispanic individuals. Comorbid hypertension, diabetes mellitus, and vascular disease all increased over time. HF hospitalizations with AF had higher in‐hospital mortality than those without AF (3.6% versus 2.6%); mortality decreased over time for all HF (from 3.6% to 3.4%) but increased for HF with reduced ejection fraction (from 3.0% to 3.7%; P<0.001 for all). Median hospital charges were higher for HF admissions with AF and increased 40% over time (from $22 204 to $31 145; P<0.001). Conclusions AF is increasingly common among hospitalizations for HF and is associated with higher costs and in‐hospital mortality. Over time, patients with HF and AF were younger, less likely to be White individuals, and had more comorbidities; in‐hospital mortality decreased. Future research will need to address unique aspects of changing patient demographics and rising costs.
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