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1. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

Author

Roth, Gregory A, Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Abera, Semaw Ferede, Abyu, Gebre, Ahmed, Muktar, Aksut, Baran, Alam, Tahiya, Alam, Khurshid, Alla, François, Alvis-Guzman, Nelson, Amrock, Stephen, Ansari, Hossein, Ärnlöv, Johan, Asayesh, Hamid, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Awasthi, Ashish, Banerjee, Amitava, Barac, Aleksandra, Bärnighausen, Till, Barregard, Lars, Bedi, Neeraj, Ketema, Ezra Belay, Bennett, Derrick, Berhe, Gebremedhin, Bhutta, Zulfiqar, Bitew, Shimelash, Carapetis, Jonathan, Carrero, Juan Jesus, Malta, Deborah Carvalho, Castañeda-Orjuela, Carlos Andres, Castillo-Rivas, Jacqueline, Catalá-López, Ferrán, Choi, Jee-Young, Christensen, Hanne, Cirillo, Massimo, Cooper, Leslie, Criqui, Michael, Cundiff, David, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, Dharmaratne, Samath, Dorairaj, Prabhakaran, Dubey, Manisha, Ehrenkranz, Rebecca, Zaki, Maysaa El Sayed, Faraon, Emerito Jose A, Esteghamati, Alireza, Farid, Talha, Farvid, Maryam, Feigin, Valery, Ding, Eric L, Fowkes, Gerry, Gebrehiwot, Tsegaye, Gillum, Richard, Gold, Audra, Gona, Philimon, Gupta, Rajeev, Habtewold, Tesfa Dejenie, Hafezi-Nejad, Nima, Hailu, Tesfaye, Hailu, Gessessew Bugssa, Hankey, Graeme, Hassen, Hamid Yimam, Abate, Kalkidan Hassen, Havmoeller, Rasmus, Hay, Simon I, Horino, Masako, Hotez, Peter J, Jacobsen, Kathryn, James, Spencer, Javanbakht, Mehdi, Jeemon, Panniyammakal, John, Denny, Jonas, Jost, Kalkonde, Yogeshwar, Karimkhani, Chante, Kasaeian, Amir, Khader, Yousef, Khan, Abdur, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah T, Khubchandani, Jagdish, Kim, Daniel, Kolte, Dhaval, Kosen, Soewarta, Krohn, Kristopher J, Kumar, G Anil, Kwan, Gene F, Lal, Dharmesh Kumar, Larsson, Anders, Linn, Shai, Lopez, Alan, Lotufo, Paulo A, and Razek, Hassan Magdy Abd El

Subjects
Prevention, Cardiovascular, Burden of Illness, Heart Disease, Aging, Aetiology, 2.4 Surveillance and distribution, Good Health and Well Being, Adult, Aged, Cardiovascular Diseases, Cause of Death, Female, Global Health, Humans, Life Expectancy, Male, Middle Aged, Morbidity, Prevalence, Prospective Studies, Retrospective Studies, Risk Assessment, Risk Factors, Sex Distribution, Survival Rate, Young Adult, cause of death, epidemiology, global health, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology
Abstract

BackgroundThe burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world.ObjectivesThe GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden.MethodsCVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility.ResultsIn 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75.ConclusionsCVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.

Published
2017

2. Trends in the Burden of Adult Congenital Heart Disease in US Emergency Departments

Author

Agarwal, Shikhar, Sud, Karan, Khera, Sahil, Kolte, Dhaval, Fonarow, Gregg C, Panza, Julio A, and Menon, Venu

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Emergency Care, Clinical Research, Health Services, Heart Disease, Prevention, Cardiovascular, Health and social care services research, 8.1 Organisation and delivery of services, Good Health and Well Being, Adult, Cost of Illness, Emergency Service, Hospital, Female, Heart Defects, Congenital, Hospital Mortality, Humans, Incidence, Male, Prevalence, Retrospective Studies, Survival Rate, United States, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundWe assessed trends in incidence, in-hospital mortality, and admission among patients with adult congenital heart disease (ACHD) presenting to the emergency department (ED) from 2006 to 2012.HypothesisThere is a considerable burden of ACHD in the US EDs.MethodsWe used the 2006-2012 US Nationwide Emergency Department Sample. All ED visits with ACHD were identified using standard International Classification of Diseases, Ninth Edition, Clinical Modification codes.ResultsThe number of patients presenting to the ED with simple (40.6%) as well as complex (37.6%) ACHD across 2006-2012 increased significantly. Also, there was a considerable increase in prevalence of traditional cardiovascular risk factors among ACHD patients, including hypertension, diabetes, smoking, obesity, and chronic kidney disease. Besides miscellaneous noncardiovascular conditions, nonspecific chest pain (15.9%) and respiratory disorders (15.0%) were the most common reasons for ED visits among patients with simple and complex ACHD, respectively. Although there was a trend toward decrease in admissions across 2006-2012 (Ptrend

Published
2016

3. Smoker's Paradox in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention.

Author

Gupta, Tanush, Kolte, Dhaval, Khera, Sahil, Harikrishnan, Prakash, Mujib, Marjan, Aronow, Wilbert S, Jain, Diwakar, Ahmed, Ali, Cooper, Howard A, Frishman, William H, Bhatt, Deepak L, Fonarow, Gregg C, and Panza, Julio A

Subjects
Humans, Postoperative Complications, Treatment Outcome, Incidence, Hospital Mortality, Odds Ratio, Risk Assessment, Risk Factors, Retrospective Studies, Follow-Up Studies, Smoking, Middle Aged, United States, Female, Male, Percutaneous Coronary Intervention, ST Elevation Myocardial Infarction, ST‐segment elevation myocardial infarction, primary percutaneous coronary intervention, smoker's paradox, smoking, ST-segment elevation myocardial infarction, Clinical Research, Cardiovascular, Prevention, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiorespiratory Medicine and Haematology
Abstract

BackgroundPrior studies have found that smokers undergoing thrombolytic therapy for ST-segment elevation myocardial infarction have lower in-hospital mortality than nonsmokers, a phenomenon called the "smoker's paradox." Evidence, however, has been conflicting regarding whether this paradoxical association persists in the era of primary percutaneous coronary intervention.Methods and resultsWe used the 2003-2012 National Inpatient Sample databases to identify all patients aged ≥18 years who underwent primary percutaneous coronary intervention for ST-segment elevation myocardial infarction. Multivariable logistic regression was used to compare in-hospital mortality between smokers (current and former) and nonsmokers. Of the 985 174 patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention, 438 954 (44.6%) were smokers. Smokers were younger, were more often men, and were less likely to have traditional vascular risk factors than nonsmokers. Smokers had lower observed in-hospital mortality compared with nonsmokers (2.0% versus 5.9%; unadjusted odds ratio 0.32, 95% CI 0.31-0.33, P

Published
2016

4. Association of chronic renal insufficiency with in-hospital outcomes after percutaneous coronary intervention.

Author

Gupta, Tanush, Paul, Neha, Kolte, Dhaval, Harikrishnan, Prakash, Khera, Sahil, Aronow, Wilbert S, Mujib, Marjan, Palaniswamy, Chandrasekar, Sule, Sachin, Jain, Diwakar, Ahmed, Ali, Cooper, Howard A, Frishman, William H, Bhatt, Deepak L, Fonarow, Gregg C, and Panza, Julio A

Subjects
Humans, Kidney Failure, Chronic, Myocardial Ischemia, Postoperative Hemorrhage, Treatment Outcome, Length of Stay, Hospital Mortality, Aged, Middle Aged, Hospital Costs, United States, Female, Male, Renal Insufficiency, Chronic, Acute Coronary Syndrome, Percutaneous Coronary Intervention, chronic kidney disease, end‐stage renal disease, in‐hospital mortality, percutaneous coronary intervention, postprocedure hemorrhage, end-stage renal disease, in-hospital mortality, Kidney Failure, Chronic, Renal Insufficiency, Cardiorespiratory Medicine and Haematology
Abstract

BackgroundThe association of chronic renal insufficiency with outcomes after percutaneous coronary intervention (PCI) in the current era of drug-eluting stents and modern antithrombotic therapy has not been well characterized.Methods and resultsWe queried the 2007-2011 Nationwide Inpatient Sample databases to identify all patients aged ≥18 years who underwent PCI. Multivariable logistic regression was used to compare in-hospital outcomes among patients with chronic kidney disease (CKD), patients with end-stage renal disease (ESRD), and those without CKD or ESRD. Of 3 187 404 patients who underwent PCI, 89% had no CKD/ESRD; 8.6% had CKD; and 2.4% had ESRD. Compared to patients with no CKD/ESRD, patients with CKD and patients with ESRD had higher in-hospital mortality (1.4% versus 2.7% versus 4.4%, respectively; adjusted odds ratio for CKD 1.15, 95% CI 1.12 to 1.19, P

Published
2015

5. Pretransplant Coagulopathy and In‐hospital Outcomes Among Heart Transplant Recipients: A Propensity‐Matched Nationwide Inpatient Sample Study

Author

Mujib, Marjan, Khanna, Neel, Mazumder, Nabila K, Aronow, Wilbert S, Kolte, Dhaval, Khera, Sahil, Palaniswamy, Chandrasekar, Jain, Diwakar, Lanier, Gregg M, Sule, Sachin, Ahmed, Ali, Levy, Wayne C, Prabhu, Sumanth D, Cooper, Howard A, Panza, Julio A, Gass, Alan L, and Fonarow, Gregg C

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Cardiovascular, Clinical Research, Transplantation, Good Health and Well Being, Adult, Aged, Blood Coagulation Disorders, Female, Heart Transplantation, Hospital Charges, Hospital Mortality, Humans, Inpatients, Length of Stay, Male, Middle Aged, Propensity Score, Sampling Studies, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThe prevalence and contemporary trends of pre-heart transplantation (HT) coagulopathy and associated clinical outcomes have not been studied from a national database.HypothesisPre-HT coagulopathy is associated with increased in-hospital mortality.MethodsAmong 2454 adult HT recipients from the 2003 to 2010 Nationwide Inpatient Sample databases, 707 (29%) had pre-HT coagulopathy (defined as a comorbidity variable, based on International Classification of Diseases, Ninthe Revision, Clinical Modification and Diagnosis Related Group codes). We used propensity scores for coagulopathy to assemble a matched cohort of 664 pairs of patients with and without coagulopathy balanced in 54 baseline characteristics.ResultsThe prevalence of pre-HT coagulopathy increased from 17% in 2003 to 44% in 2010 (P for trend

Published
2015

6. Non‐ST‐Elevation Myocardial Infarction in the United States: Contemporary Trends in Incidence, Utilization of the Early Invasive Strategy, and In‐Hospital Outcomes

Author

Khera, Sahil, Kolte, Dhaval, Aronow, Wilbert S, Palaniswamy, Chandrasekar, Subramanian, Kathir Selvan, Hashim, Taimoor, Mujib, Marjan, Jain, Diwakar, Paudel, Rajiv, Ahmed, Ali, Frishman, William H, Bhatt, Deepak L, Panza, Julio A, and Fonarow, Gregg C

Subjects
Heart Disease - Coronary Heart Disease, Cardiovascular, Heart Disease, Clinical Research, Health Services, Good Health and Well Being, Adult, Aged, Coronary Angiography, Coronary Artery Bypass, Early Medical Intervention, Ethnicity, Female, Hospital Mortality, Humans, Incidence, Logistic Models, Male, Middle Aged, Myocardial Infarction, Percutaneous Coronary Intervention, United States, early invasive strategy, in-hospital mortality, non-ST-elevation myocardial infarction, temporal trends, in‐hospital mortality, non‐ST‐elevation myocardial infarction, Cardiorespiratory Medicine and Haematology
Abstract

There has been a paradigm shift in the definition of timing of early invasive strategy (EIS) for patients admitted with non-ST-elevation myocardial infarction (NSTEMI) in the last decade. Data on trends of EIS for NSTEMI and associated in-hospital outcomes are limited. Our aim is to analyze temporal trends in the incidence, utilization of early invasive strategy, and in-hospital outcomes of NSTEMI in the United States. We analyzed the 2002-2011 Nationwide Inpatient Sample databases to identify all patients ≥40 years of age with the principal diagnosis of acute myocardial infarction (AMI) and NSTEMI. Logistic regression was used for overall, age-, sex-, and race/ethnicity-stratified trend analysis. From 2002 to 2011, we identified 6 512 372 patients with AMI. Of these, 3 981 119 (61.1%) had NSTEMI. The proportion of patients with NSTEMI increased from 52.8% in 2002 to 68.6% in 2011 (adjusted odds ratio [OR; per year], 1.055; 95% confidence interval [CI], 1.054 to 1.056) in the overall cohort. Similar trends were observed in age-, sex-, and race/ethnicity-stratified groups. From 2002 to 2011, utilization of EIS at day 0 increased from 14.9% to 21.8% (Ptrend

Published
2014

7. Regional Variation Across the United States in Management and Outcomes of ST‐Elevation Myocardial Infarction: Analysis of the 2003 to 2010 Nationwide Inpatient Sample Database

Author

Kolte, Dhaval, Khera, Sahil, Aronow, Wilbert S, Mujib, Marjan, Palaniswamy, Chandrasekar, Ahmed, Ali, Frishman, William H, and Fonarow, Gregg C

Subjects
Clinical Research, Cost Effectiveness Research, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiovascular, Good Health and Well Being, Aged, Female, Hospital Mortality, Humans, Inpatients, Logistic Models, Male, Middle Aged, Myocardial Infarction, Risk Factors, Shock, Cardiogenic, Stroke, Treatment Outcome, United States, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology
Abstract

BackgroundRegional differences in the treatment and outcomes of patients with ST-elevation myocardial infarction (STEMI) within the United States remain poorly understood.HypothesisTreatment choice and outcomes in patients with STEMI differ between regions within the United States.MethodsWe used the 2003 to 2010 Nationwide Inpatient Sample databases to identify all patients age ≥ 40 years hospitalized with STEMI. Patients were divided into 4 groups according to region: Northeast, Midwest, South, and West. Multivariable logistic regression was used to identify differences in treatment choice and outcomes (in-hospital mortality, acute stroke, and cardiogenic shock) among the 4 regions.ResultsOf 1,990,486 patients age ≥ 40 years with STEMI, 350,073 (17.6%) were hospitalized in the Northeast, 483,323 (24.3%) in the Midwest, 784,869 (39.4%) in the South, and 372,222 (18.7%) in the West. Compared with the Northeast, patients in the Midwest, South, and West were less likely to receive medical therapy alone and more likely to receive percutaneous coronary intervention and coronary artery bypass grafting. Risk-adjusted in-hospital mortality was higher in the Midwest (odds ratio [OR]: 1.07, 95% confidence interval [CI]: 1.05-1.09, P

Published
2014

8. Trends in Incidence, Management, and Outcomes of Cardiogenic Shock Complicating ST‐Elevation Myocardial Infarction in the United States

Author

Kolte, Dhaval, Khera, Sahil, Aronow, Wilbert S, Mujib, Marjan, Palaniswamy, Chandrasekar, Sule, Sachin, Jain, Diwakar, Gotsis, William, Ahmed, Ali, Frishman, William H, and Fonarow, Gregg C

Subjects
Cardiovascular, Prevention, Clinical Research, Age Factors, Aged, Aged, 80 and over, Chi-Square Distribution, Female, Hospital Costs, Hospital Mortality, Humans, Incidence, Intra-Aortic Balloon Pumping, Length of Stay, Logistic Models, Male, Middle Aged, Multivariate Analysis, Myocardial Infarction, Myocardial Revascularization, Odds Ratio, Practice Patterns, Physicians', Racial Groups, Retrospective Studies, Risk Factors, Sex Factors, Shock, Cardiogenic, Time Factors, Treatment Outcome, United States, cardiogenic shock, early revascularization, inhospital mortality, ST-elevation myocardial infarction, trends, ST‐elevation myocardial infarction, Cardiorespiratory Medicine and Haematology
Abstract

BackgroundLimited information is available on the contemporary and potentially changing trends in the incidence, management, and outcomes of cardiogenic shock complicating ST-elevation myocardial infarction (STEMI).Methods and resultsWe queried the 2003-2010 Nationwide Inpatient Sample databases to identify all patients ≥ 40 years of age with STEMI and cardiogenic shock. Overall and age-, sex-, and race/ethnicity-specific trends in incidence of cardiogenic shock, early mechanical revascularization, and intra-aortic balloon pump use, and inhospital mortality were analyzed. From 2003 to 2010, among 1 990 486 patients aged ≥ 40 years with STEMI, 157 892 (7.9%) had cardiogenic shock. The overall incidence rate of cardiogenic shock in patients with STEMI increased from 6.5% in 2003 to 10.1% in 2010 (P(trend)

Published
2014

9. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015

Author

Reitsma, Marissa B., Fullman, Nancy, Ng, Marie, Salama, Joseph S., Abajobir, Amanuel, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abera, Semaw Ferede, Abraham, Biju, Abyu, Gebre Yitayih, Adebiyi, Akindele Olupelumi, Al-Aly, Ziyad, Aleman, Alicia V., Ali, Raghib, Al Alkerwi, Ala A., Allebeck, Peter, Al-Raddadi, Rajaa Mohammad, Amare, Azmeraw T., Amberbir, Alemayehu, Ammar, Walid, Amrock, Stephen Marc, Antonio, Carl Abelardo T., Asayesh, Hamid, Atnafu, Niguse Tadela, Azzopardi, Peter, Banerjee, Amitava, Barac, Aleksandra, Barrientos-Gutierrez, Tonatiuh, Basto-Abreu, Ana Cristina, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Bell, Brent, Bello, Aminu K., Bensenor, Isabela M., Beyene, Addisu Shunu, Bhala, Neeraj, Biryukov, Stan, Bolt, Kaylin, Brenner, Hermann, Butt, Zahid, Cavalleri, Fiorella, Cercy, Kelly, Chen, Honglei, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G., Colistro, Valentina, Colomar, Mercedes, Cornaby, Leslie, Dai, Xiaochen, Damtew, Solomon Abrha, Dandona, Lalit, Dandona, Rakhi, Dansereau, Emily, Davletov, Kairat, Dayama, Anand, Degfie, Tizta Tilahun, Deribew, Amare, Dharmaratne, Samath D., Dimtsu, Balem Demtsu, Doyle, Kerrie E., Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Estep, Kara, Faraon, Emerito Jose Aquino, Farzadfar, Farshad, Feigin, Valery L., Feigl, Andrea B., Fischer, Florian, Friedman, Joseph, Ghiwot, Tsegaye Tewelde, Gall, Seana L., Gao, Wayne, Gillum, Richard F., Gold, Audra L., Gopalani, Sameer Vali, Gotay, Carolyn C., Gupta, Rahul, Gupta, Rajeev, Gupta, Vipin, Hamadeh, Randah Ribhi, Graeme Hankey, Harb, Hilda L., Hay, Simon I., Horino, Masako, Horita, Nobuyuki, Hosgood, H. Dean, Husseini, Abdullatif, Ileanu, Bogdan Vasile, Islami, Farhad, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Kabir, Zubair, Kamal, Ritul, Kasaeian, Amir, Kesavachandran, Chandrasekharan Nair, Khader, Yousef S., Khalil, Ibrahim, Khang, Young-Ho, Khera, Sahil, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Knibbs, Luke D., Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek, Kosen, Soewarta, Kotsakis, Georgios A., Koul, Parvaiz A., Koyanagi, Ai, Krohn, Kristopher J., Krueger, Hans, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kulkarni, Chanda, Kumar, G. Anil, Leasher, Janet L., Lee, Alexander, Leinsalu, Mall, Li, Tong, Linn, Shai, Liu, Patrick, Liu, Shiwei, Lo, Loon-Tzian, Lopez, Alan D., Ma, Stefan, Abd El Razek, Hassan Magdy, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manamo, Wondimu Ayele, Martinez-Raga, Jose, Mekonnen, Alemayehu Berhane, Mendoza, Walter, Miller, Ted R., Mohammad, Karzan Abdulmuhsin, Morawska, Lidia, Musa, Kamarul Imran, Nagel, Gabriele, Neupane, Sudan Prasad, Quyen Nguyen, Nguyen, Grant, Oh, In-Hwan, Oyekale, Abayomi Samuel, Mahesh, P. A., Pana, Adrian, Park, Eun-Kee, Patil, Snehal T., Patton, George C., Pedro, Joao, Qorbani, Mostafa, Rafay, Anwar, Rahman, Mahfuzar, Rai, Rajesh Kumar, Ram, Usha, Ranabhat, Chhabi Lal, Refaat, Amany H., Reinig, Nickolas, Roba, Hirbo Shore, Rodriguez, Alina, Roman, Yesenia, Roth, Gregory, Roy, Ambuj, Sagar, Rajesh, Salomon, Joshua, Sanabria, Juan, Santos, Itamar Souza, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Sawyer, Susan, Saylan, Mete, Schaub, Michael P., Schluger, Neil, Schutte, Aletta Elisabeth, Sepanlou, Sadaf G., Serdar, Berrin, Shaikh, Masood Ali, She, Jun, Shin, Min-Jeong, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Sigfusdottir, Inga Dora, Silverberg, Jonathan I., Singh, Jasvinder, Singh, Virendra, Slepak, Erica Leigh, Soneji, Samir, Soriano, Joan B., Soshnikov, Sergey, Sreeramareddy, Chandrashekhar T., Stein, Dan J., Stranges, Saverio, Subart, Michelle L., Swaminathan, Soumya, Szoeke, Cassandra E. I., Tefera, Worku Mekonnen, Topor-Madry, Roman, Tran, Bach, Tsilimparis, Nikolaos, Tymeson, Hayley, Ukwaja, Kingsley Nnanna, Updike, Rachel, Uthman, Olalekan A., Violante, Francesco Saverio, Vladimirov, Sergey K., Vlassov, Vasiliy, Vollset, Stein Emil, Vos, Theo, Weiderpass, Elisabete, Wen, Chi-Pan, Werdecker, Andrea, Wilson, Shelley, Wubshet, Mamo, Xiao, Lin, Yakob, Bereket, Yano, Yuichiro, Ye, Penpeng, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zhang, Anthony Lin, Zipkin, Ben, Murray, Christopher J. L., Forouzanfar, Mohammad H., Gakidou, Emmanuela, Gbd, Tobacco Collaborators, Reitsma, Marissa B, Fullman, Nancy, Ng, Marie, Salama, Joseph S, Abajobir, Amanuel, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abera, Semaw Ferede, Abraham, Biju, Abyu, Gebre Yitayih, Adebiyi, Akindele Olupelumi, Al-Aly, Ziyad, Aleman, Alicia V, Ali, Raghib, Al Alkerwi, Ala'A, Allebeck, Peter, Al-Raddadi, Rajaa Mohammad, Amare, Azmeraw T, Amberbir, Alemayehu, Ammar, Walid, Amrock, Stephen Marc, Antonio, Carl Abelardo T, Asayesh, Hamid, Atnafu, Niguse Tadela, Azzopardi, Peter, Banerjee, Amitava, Barac, Aleksandra, Barrientos-Gutierrez, Tonatiuh, Basto-Abreu, Ana Cristina, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Bell, Brent, Bello, Aminu K, Bensenor, Isabela M, Beyene, Addisu Shunu, Bhala, Neeraj, Biryukov, Stan, Bolt, Kaylin, Brenner, Hermann, Butt, Zahid, Cavalleri, Fiorella, Cercy, Kelly, Chen, Honglei, Christopher, Devasahayam Jesuda, Ciobanu, Liliana G, Colistro, Valentina, Colomar, Mercede, Cornaby, Leslie, Dai, Xiaochen, Damtew, Solomon Abrha, Dandona, Lalit, Dandona, Rakhi, Dansereau, Emily, Davletov, Kairat, Dayama, Anand, Degfie, Tizta Tilahun, Deribew, Amare, Dharmaratne, Samath D, Dimtsu, Balem Demtsu, Doyle, Kerrie E, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Estep, Kara, Faraon, Emerito Jose Aquino, Farzadfar, Farshad, Feigin, Valery L, Feigl, Andrea B, Fischer, Florian, Friedman, Joseph, G/hiwot, Tsegaye Tewelde, Gall, Seana L, Gao, Wayne, Gillum, Richard F, Gold, Audra L, Gopalani, Sameer Vali, Gotay, Carolyn C, Gupta, Rahul, Gupta, Rajeev, Gupta, Vipin, Hamadeh, Randah Ribhi, Hankey, Graeme, Harb, Hilda L, Hay, Simon I, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Husseini, Abdullatif, Ileanu, Bogdan Vasile, Islami, Farhad, Jiang, Guohong, Jiang, Ying, Jonas, Jost B, Kabir, Zubair, Kamal, Ritul, Kasaeian, Amir, Kesavachandran, Chandrasekharan Nair, Khader, Yousef S, Khalil, Ibrahim, Khang, Young-Ho, Khera, Sahil, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W, Kinfu, Yohanne, Knibbs, Luke D, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek, Kosen, Soewarta, Kotsakis, Georgios A, Koul, Parvaiz A, Koyanagi, Ai, Krohn, Kristopher J, Krueger, Han, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kulkarni, Chanda, Kumar, G Anil, Leasher, Janet L, Lee, Alexander, Leinsalu, Mall, Li, Tong, Linn, Shai, Liu, Patrick, Liu, Shiwei, Lo, Loon-Tzian, Lopez, Alan D, Ma, Stefan, El Razek, Hassan Magdy Abd, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manamo, Wondimu Ayele, Martinez-Raga, Jose, Mekonnen, Alemayehu Berhane, Mendoza, Walter, Miller, Ted R, Mohammad, Karzan Abdulmuhsin, Morawska, Lidia, Musa, Kamarul Imran, Nagel, Gabriele, Neupane, Sudan Prasad, Nguyen, Quyen, Nguyen, Grant, Oh, In-Hwan, Oyekale, Abayomi Samuel, Pa, Mahesh, Pana, Adrian, Park, Eun-Kee, Patil, Snehal T, Patton, George C, Pedro, Joao, Qorbani, Mostafa, Rafay, Anwar, Rahman, Mahfuzar, Rai, Rajesh Kumar, Ram, Usha, Ranabhat, Chhabi Lal, Refaat, Amany H, Reinig, Nickola, Roba, Hirbo Shore, Rodriguez, Alina, Roman, Yesenia, Roth, Gregory, Roy, Ambuj, Sagar, Rajesh, Salomon, Joshua, Sanabria, Juan, de Souza Santos, Itamar, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Sawyer, Susan, Saylan, Mete, Schaub, Michael P, Schluger, Neil, Schutte, Aletta Elisabeth, Sepanlou, Sadaf G, Serdar, Berrin, Shaikh, Masood Ali, She, Jun, Shin, Min-Jeong, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Sigfusdottir, Inga Dora, Silverberg, Jonathan I, Singh, Jasvinder, Singh, Virendra, Slepak, Erica Leigh, Soneji, Samir, Soriano, Joan B, Soshnikov, Sergey, Sreeramareddy, Chandrashekhar T, Stein, Dan J, Stranges, Saverio, Subart, Michelle L, Swaminathan, Soumya, Szoeke, Cassandra E I, Tefera, Worku Mekonnen, Topor-Madry, Roman, Tran, Bach, Tsilimparis, Nikolao, Tymeson, Hayley, Ukwaja, Kingsley Nnanna, Updike, Rachel, Uthman, Olalekan A, Violante, Francesco Saverio, Vladimirov, Sergey K, Vlassov, Vasiliy, Vollset, Stein Emil, Vos, Theo, Weiderpass, Elisabete, Wen, Chi-Pan, Werdecker, Andrea, Wilson, Shelley, Wubshet, Mamo, Xiao, Lin, Yakob, Bereket, Yano, Yuichiro, Ye, Penpeng, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zhang, Anthony Lin, Zipkin, Ben, Murray, Christopher J L, Forouzanfar, Mohammad H, Gakidou, Emmanuela, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, and Halk Sağlığı

Subjects
Male, Heilsufar, Dánartíðni, Internationality, Lífslíkur, Risk analysis, Life expectancy, Epidemiology, IMPACT, Áhættuþættir, FRAMEWORK CONVENTION, Diseases, Global Burden of Disease, Fullorðnir, Risk Factors, IMPLEMENTATION, Psychology, LIFE EXPECTANCY, Unglingar, Konur, Risk assessment, Aged, 80 and over, Public health, Velferðarkerfi, Aldraðir, Medicine (all), Smoking, Þjóðir, 11 Medical And Health Sciences, Alþjóðasamstarf, Tóbaksvarnir, Sálfræði, World health, Mannsævin, Lýðheilsa, Female, HEALTH, Reykingar, B990 Subjects Allied to Medicine not elsewhere classified, Algengi sjúkdóma, Life Sciences & Biomedicine, Adult, Adolescent, L400, TOBACCO CONTROL POLICIES, Young Adult, Heilbrigðisvísindi, Age Distribution, Medicine, General & Internal, General & Internal Medicine, SELF-REPORTED SMOKING, Mortality, Sex Distribution, Áhættugreining, Retrospective Studies, Aged, Science & Technology, Faraldsfræði, Prevention, MORTALITY, Ungt fólk, RISKS, B900, Tobacco use, PROMOTION, Socioeconomic Factors, Karlar, L510 Health & Welfare
Abstract

Correction in: LANCET Volume: 390 Issue: 10103 Pages: 1644-1644 Published: OCT 7 2017 ., Background The scale-up of tobacco control, especially after the adoption of the Framework Convention for Tobacco Control, is a major public health success story. Nonetheless, smoking remains a leading risk for early death and disability worldwide, and therefore continues to require sustained political commitment. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) offers a robust platform through which global, regional, and national progress toward achieving smoking-related targets can be assessed. Methods We synthesised 2818 data sources with spatiotemporal Gaussian process regression and produced estimates of daily smoking prevalence by sex, age group, and year for 195 countries and territories from 1990 to 2015. We analysed 38 risk-outcome pairs to generate estimates of smoking-attributable mortality and disease burden, as measured by disability-adjusted life-years (DALYs). We then performed a cohort analysis of smoking prevalence by birth-year cohort to better understand temporal age patterns in smoking. We also did a decomposition analysis, in which we parsed out changes in all-cause smoking-attributable DALYs due to changes in population growth, population ageing, smoking prevalence, and risk-deleted DALY rates. Finally, we explored results by level of development using the Socio-demographic Index (SDI). Findings Worldwide, the age-standardised prevalence of daily smoking was 25.0% (95% uncertainty interval [UI] 24.2-25.7) for men and 5.4% (5.1-5.7) for women, representing 28.4% (25.8-31.1) and 34.4% (29.4-38.6) reductions, respectively, since 1990. A greater percentage of countries and territories achieved significant annualised rates of decline in smoking prevalence from 1990 to 2005 than in between 2005 and 2015; however, only four countries had significant annualised increases in smoking prevalence between 2005 and 2015 (Congo [Brazzaville] and Azerbaijan for men and Kuwait and Timor-Leste for women). In 2015, 11.5% of global deaths (6.4 million [95% UI 5.7-7.0 million]) were attributable to smoking worldwide, of which 52.2% took place in four countries (China, India, the USA, and Russia). Smoking was ranked among the five leading risk factors by DALYs in 109 countries and territories in 2015, rising from 88 geographies in 1990. In terms of birth cohorts, male smoking prevalence followed similar age patterns across levels of SDI, whereas much more heterogeneity was found in age patterns for female smokers by level of development. While smoking prevalence and risk-deleted DALY rates mostly decreased by sex and SDI quintile, population growth, population ageing, or a combination of both, drove rises in overall smoking-attributable DALYs in low-SDI to middle-SDI geographies between 2005 and 2015. Interpretation The pace of progress in reducing smoking prevalence has been heterogeneous across geographies, development status, and sex, and as highlighted by more recent trends, maintaining past rates of decline should not be taken for granted, especially in women and in low-SDI to middle-SDI countries. Beyond the effect of the tobacco industry and societal mores, a crucial challenge facing tobacco control initiatives is that demographic forces are poised to heighten smoking's global toll, unless progress in preventing initiation and promoting cessation can be substantially accelerated. Greater success in tobacco control is possible but requires effective, comprehensive, and adequately implemented and enforced policies, which might in turn require global and national levels of political commitment beyond what has been achieved during the past 25 years., Bill & Melinda Gates Foundation and Bloomberg Philanthropies.

Published
2017

10. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

Author

Roth, Gregory A., Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Abera, Semaw Ferede, Abyu, Gebre, Ahmed, Muktar, Aksut, Baran, Alam, Tahiya, Alam, Khurshid, Alla, Francois, Alvis-Guzman, Nelson, Amrock, Stephen, Ansari, Hossein, Arnlov, Johan, Asayesh, Hamid, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Awasthi, Ashish, Banerjee, Amitava, Barac, Aleksandra, Barnighausen, Till, Barregard, Lars, Bedi, Neeraj, Ketema, Ezra Belay, Bennett, Derrick, Berhe, Gebremedhin, Bhutta, Zulfiqar, Bitew, Shimelash, Carapetis, Jonathan, Carrero, Juan Jesus, Malta, Deborah Carvalho, Andres Castaneda-Orjuela, Carlos, Castillo-Rivas, Jacqueline, Catala-Lopez, Ferran, Choi, Jee-Young, Christensen, Hanne, Cirillo, Massimo, Cooper, Leslie, Criqui, Michael, Cundiff, David, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, Dharmaratne, Samath, Dorairaj, Prabhakaran, Dubey, Manisha, Ehrenkranz, Rebecca, Zaki, Maysaa El Sayed, Faraon, Emerito Jose A., Esteghamati, Alireza, Farid, Talha, Farvid, Maryam, Feigin, Valery, Ding, Eric L., Fowkes, Gerry, Gebrehiwot, Tsegaye, Gillum, Richard, Gold, Audra, Gona, Philimon, Gupta, Rajeev, Habtewold, Tesfa Dejenie, Hafezi-Nejad, Nima, Hailu, Tesfaye, Hailu, Gessessew Bugssa, Hankey, Graeme, Hassen, Hamid Yimam, Abate, Kalkidan Hassen, Havmoeller, Rasmus, Hay, Simon I., Horino, Masako, Hotez, Peter J., Jacobsen, Kathryn, James, Spencer, Javanbakht, Mehdi, Jeemon, Panniyammakal, John, Denny, Jonas, Jost, Kalkonde, Yogeshwar, Karimkhani, Chante, Kasaeian, Amir, Khader, Yousef, Khan, Abdur, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah T., Khubchandani, Jagdish, Kim, Daniel, Kolte, Dhaval, Kosen, Soewarta, Krohn, Kristopher J., Kumar, G. Anil, Kwan, Gene F., Lal, Dharmesh Kumar, Larsson, Anders, Linn, Shai, Lopez, Alan, Lotufo, Paulo A., Abd El Razek, Hassan Magdy, Malekzadeh, Reza, Mazidi, Mohsen, Meier, Toni, Meles, Kidanu Gebremariam, Mensah, George, Meretoja, Atte, Mezgebe, Haftay, Miller, Ted, Mirrakhimov, Erkin, Mohammed, Shafiu, Moran, Andrew E., Musa, Kamarul Imran, Narula, Jagat, Neal, Bruce, Ngalesoni, Frida, Grant Nguyen, Obermeyer, Carla Makhlouf, Owolabi, Mayowa, Patton, George, Pedro, Joao, Qato, Dima, Qorbani, Mostafa, Rahimi, Kazem, Rai, Rajesh Kumar, Rawaf, Salman, Ribeiro, Antonio, Safiri, Saeid, Salomon, Joshua A., Santos, Itamar, Milicevic, Milena Santric, Sartorius, Benn, Schutte, Aletta, Sepanlou, Sadaf, Shaikh, Masood Ali, Shin, Min-Jeong, Shishehbor, Mehdi, Shore, Hirbo, Santos Silva, Diego Augusto, Sobngwi, Eugene, Stranges, Saverio, Swaminathan, Soumya, Tabares-Seisdedos, Rafael, Atnafu, Niguse Tadele, Tesfay, Fisaha, Thakur, J. S., Thrift, Amanda, Topor-Madry, Roman, Truelsen, Thomas, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Uthman, Olalekan, Vasankari, Tommi, Vlassov, Vasiliy, Vollset, Stein Emil, Wakayo, Tolassa, Watkins, David, Weintraub, Robert, Werdecker, Andrea, Westerman, Ronny, Wiysonge, Charles Shey, Wolfe, Charles, Workicho, Abdulhalik, Xu, Gelin, Yano, Yuichiro, Yip, Paul, Yonemoto, Naohiro, Younis, Mustafa, Yu, Chuanhua, Vos, Theo, Naghavi, Mohsen, Murray, Christopher, Roth, Gregory, Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Semaw, Ferede Abera, Gebre, Abyu, Muktar, Ahmed, Baran, Aksut, Tahiya, Alam, Khurshid, Alam, François, Alla, Nelson, Alvis-Guzman, Stephen, Amrock, Hossein, Ansari, Johan, Ärnlöv, Hamid, Asayesh, Tesfay, Mehari Atey, Leticia, Avila-Burgo, Ashish, Awasthi, Amitava, Banerjee, Aleksandra, Barac, Till, Bärnighausen, Lars, Barregard, Neeraj, Bedi, Ezra, Belay Ketema, Derrick, Bennett, Gebremedhin, Berhe, Zulfiqar, Bhutta, Shimelash, Bitew, Jonathan, Carapeti, Juan, Jesus Carrero, Deborah, Carvalho Malta, Carlos, Andres Castañeda-Orjuela, Jacqueline, Castillo-Riva, Ferrán, Catalá-López, Jee-Young, Choi, Hanne, Christensen, Cirillo, Massimo, Leslie, Cooper, Michael, Criqui, David, Cundiff, Albertino, Damasceno, Lalit, Dandona, Rakhi, Dandona, Kairat, Davletov, Samath, Dharmaratne, Prabhakaran, Dorairaj, Manisha, Dubey, Rebecca, Ehrenkranz, Maysaa, El Sayed Zaki, Emerito, Jose A. Faraon, Alireza, Esteghamati, Talha, Farid, Maryam, Farvid, Valery, Feigin, Eric, L. Ding, Gerry, Fowke, Tsegaye, Gebrehiwot, Richard, Gillum, Audra, Gold, Philimon, Gona, Rajeev, Gupta, Tesfa, Dejenie Habtewold, Nima, Hafezi-Nejad, Tesfaye, Hailu, Gessessew, Bugssa Hailu, Graeme, Hankey, Hamid, Yimam Hassen, Kalkidan, Hassen Abate, Rasmus, Havmoeller, Simon, Hay, Masako, Horino, Peter, Hotez, Kathryn, Jacobsen, Spencer, Jame, Mehdi, Javanbakht, Panniyammakal, Jeemon, Denny, John, Jost, Jona, Yogeshwar, Kalkonde, Chante, Karimkhani, Amir, Kasaeian, Yousef, Khader, Abdur, Khan, Young-Ho, Khang, Sahil, Khera, Abdullah, Khoja, Jagdish, Khubchandani, Daniel, Kim, Dhaval, Kolte, Soewarta, Kosen, Kristopher, Krohn, Anil, Kumar, Gene, Kwan, Dharmesh, Kumar Lal, Anders, Larsson, Shai, Linn, Alan, Lopez, Paulo, Lotufo, Hassan, Magdy, Abd El, Razek, Reza, Malekzadeh, Mohsen, Mazidi, Toni, Meier, Kidanu, Gebremariam Mele, George, Mensah, Atte, Meretoja, Haftay, Mezgebe, Ted, Miller, Erkin, Mirrakhimov, Shafiu, Mohammed, Andrew, Moran, Kamarul, Imran Musa, Jagat, Narula, Bruce, Neal, Frida, Ngalesoni, Grant, Nguyen, Carla, Makhlouf Obermeyer, Mayowa, Owolabi, George, Patton, João, Pedro, Dima, Qato, Mostafa, Qorbani, Kazem, Rahimi, Rajesh, Kumar Rai, Salman, Rawaf, Antônio, Ribeiro, Saeid, Safiri, Joshua, Salomon, Itamar, Santo, Milena, Santric Milicevic, Benn, Sartoriu, Aletta, Schutte, Sadaf, Sepanlou, Masood, Ali Shaikh, Min-Jeong, Shin, Mehdi, Shishehbor, Hirbo, Shore, Diego, Augusto Santos Silva, Eugene, Sobngwi, Saverio, Strange, Soumya, Swaminathan, Rafael, Tabarés-Seisdedo, Niguse, Tadele Atnafu, Fisaha, Tesfay Thakur, Amanda, Thrift, Roman, Topor-Madry, Thomas, Truelsen, Stefanos, Tyrovola, Kingsley, Nnanna Ukwaja, Olalekan, Uthman, Tommi, Vasankari, Vasiliy, Vlassov, Stein, Emil Vollset, Tolassa, Wakayo, David, Watkin, Robert, Weintraub, Andrea, Werdecker, Ronny, Westerman, Charles, Shey Wiysonge, Charles, Wolfe, Abdulhalik, Workicho, Gelin, Xu, Yuichiro, Yano, Paul, Yip, Naohiro, Yonemoto, Mustafa, Youni, Chuanhua, Yu, Theo, Vo, Mohsen, Naghavi, and Christopher, Murray.

Subjects
Adult, Male, Cardiac & Cardiovascular Systems, DEATHS, global health, Risk Assessment, 1102 Cardiovascular Medicine And Haematology, LOW-INCOME COUNTRIES, Young Adult, cause of death, Life Expectancy, Risk Factors, AMERICAN-HEART-ASSOCIATION, SYSTEMATIC ANALYSIS, Prevalence, Humans, Prospective Studies, Sex Distribution, Aged, Retrospective Studies, Science & Technology, HYPERTENSION, PERIPHERAL ARTERIAL-DISEASE, CAUSE-SPECIFIC MORTALITY, Middle Aged, Global Burden of Disease - Cardiovascular Disease, Survival Rate, 1117 Public Health And Health Services, Cardiovascular System & Hematology, Cardiovascular Diseases, DISABILITY WEIGHTS, Cardiovascular System & Cardiology, RISK-FACTORS, Female, epidemiology, Morbidity, Life Sciences & Biomedicine
Abstract

Background The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. Objectives The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. Methods CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. Results In 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75. Conclusions CVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.

Published
2017
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