Table 1.

Studies reporting heart failure prevalence identified in systematic review

	Study	Location	Diagnostic criteria	Setting	Age range
High-income	Cuthbert, 2019	East Yorkshire, UK	Read codes for signs and symptoms	Patients from a single practice
	Leibowitz, 2019	Israel	Signs and symptoms	Cohort from Jerusalem Longitudinal Cohort Study	Born 1920–1921
	Lindmark, 2019	Sweden	ICD-10 codes	Electronic medical records	18+
	Smeets, 2019	Belgium	ICPC codes	Patients in participating hospitals
	Cho, 2018	Republic of Korea	ICD-10 codes	Health insurance patient sample (HIRA-NPS)	19+
	Danielsen, 2017	Reykjavik, Iceland	AGES-Reykjavikstudy criteria	Random sample from census	Born 1907–1935
	Einarsson, 2017	Iceland	Ageing Study criteria	Hjartavern’s Ageing Study
	Khera, 2017	USA	ICD-9 codes	Representative sample of Medicare records	65+
	Piccinni, 2017	Italy	ICD-9 codes	Patients from participating hospitals	14+
	Stork, 2017	Germany	ICD-10 codes	Insurance records
	Taylor, 2017	Australia	ICPC codes	Patients from randomly sampled practices	45+
	Lee, 2016	Republic of Korea	ICD-10 codes	Health insurance records	19+
	Tuppin, 2016	France	ICD-10 codes	Insurance records
	Jiménez-García, 2014	Madrid, Spain	Chart extraction	Public health system database
	Khan, 2014	USA	Signs and symptoms	Random sample of Medicare beneficiaries	65+
	Tiller, 2013	Germany	Signs and symptoms	Cohort study in one community
	Zarrinkoub, 2013	Stockholm, Sweden	ICD-10 codes	Public health system database
	Mureddu, 2012	Lazio, Italy	ESC 2005 criteria	Random sample by mail	65–84
	Carmona, 2011	Madrid, Spain	ICPC codes	Electronic medical records	14+
	Engelfriet, 2011	The Netherlands	ICPC codes and E-codes	Representative general practice registries
	Leibowitz, 2011	Israel	Signs and symptoms	Cohort from Jerusalem Longitudinal Cohort Study	Born 1920–1921
	Alehagen, 2009	Southeast Sweden	Signs and symptoms	Survey of rural municipality	70–80
	Anguita Sanchez, 2008	Spain	Framingham criteria	Registry of participating hospitals	45+
	Knox, 2008	Australia	Signs and symptoms	Patients in randomly sampled practices
	Ammar, 2007	Minnesota, USA	Framingham criteria	Random sample of county	45+
	Abhayaratna, 2006	Canberra, Australia	Self-report verified by record review	Random sample from electoral roll	60–85
	Azevedo, 2006	Porto, Portugal	Signs and symptoms	Population health survey	45+
	Ceia, 2005	Portugal	ESC 1995 criteria	Random sampling, primary care centres	25+
	Di Bari, 2004	Dicomano, Italy	ESC 1995 criteria	Survey of the elderly in small town	65+
	McAlister, 2004	Scotland	Read codes for signs and symptoms	Patients from participating hospitals
	Murphy, 2004	Scotland	Read codes for signs and symptoms	Patients from participating hospitals	18+
	Ni, 2003	USA	Self-report	National health statistics	18+
	Redfield, 2003	Minnesota, USA	Chart extraction	Random sample of single county	45+
	Ceia, 2002	Madeira, Portugal	ESC 1995 criteria	Random sampling, primary care centres	25+
	Cortina, 2001	Asturias, Spain	Signs and symptoms	Random sample from census	40+
	Davies, 2001	West Midlands, England	ESC 1995 criteria	Sample from primary health centres	45+
	Kitzman, 2001	USA	Signs and symptoms	Recruitment from participating field centres	65+
	Mosterd, 1999	Rotterdam, The Netherlands	Signs and symptoms	Cohort study of single suburb	55+
	Kupari, 1997	Helsinki, Finland	Signs and symptoms	Random sampling of residents	Born 1904, 1909 or 1914
	Kannel, 1991	USA	Framingham criteria	Framingham study
Latin America and Caribbean	McSwain, 1999	Antigua and Barbuda	ICD-10 codes	Patients from referral hospital
North Africa and Middle East	Agarwal, 2001	Dhakliya, Oman	Signs and symptoms	Patients in referral hospital	13+
Southeast Asia, East Asia and Oceania	Hao, 2019	China	Modified ESC 2016 including self-report	Random sample	15+
	Shan, 2014	China	Signs and symptoms	Random sampling	60+
	Dongfeng, 2003	China	Self-report	Random sample	35–74
	Hung, 2000	China	ICD-9 codes	Patients in 11 participating hospitals

AGES, age, gene/environment susceptibility; ESC, European Society of Cardiology; HIRA-NPS, Health Insurance Review and Assessment Service-National Patient Samples; ICD, International Classification of Disease.