Table 2.

Studies reporting heart failure incidence identified in systematic review

	Study	Location	Diagnostic criteria	Setting	Age range
Central Europe, Eastern Europe and Central Asia	Rywik, 1999	Poland	ICD-9 codes	National healthcare records
High-income	Huusko, 2019	Southwest Finland	ICD-10 codes	Electronic medical records	18+
	Li, 2019	USA	Signs and symptoms	Sample from existing population-based studies	40+
	Lindmark, 2019	Sweden	ICD-10 codes	Electronic medical records	18+
	Magnussen, 2019	Western Europe	Self-report, signs and symptoms or ICD-10	Patients in four cohort studies
	Uijl, 2019	The Netherlands	ICD-9 and ICD-10 codes	Two cohort studies (MORGEN, Prospect)
	Conrad, 2018	UK	ICD-10 codes	Electronic medical records	16+
	Hinton, 2018	England	Read codes for signs and symptoms	Patients in 164 participating centres	18+
	Shah, 2018	Massachusetts, USA	Framingham criteria	Framingham offspring study
	Tsao, 2018	USA	Framingham criteria	Framingham original and offspring study
	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
	Nayor, 2016	Massachusetts, USA	Framingham criteria	Framingham offspring study
	Sangaralingham, 2016	USA	ICD-9 codes	Commercial insurance database
	Ohlmeier, 2015	Germany	ICD-10 codes	Insurance records
	Barasa, 2014	Sweden	ICD-9 and ICD-10 codes	Hospital discharges, death registry	18–84
	Borne, 2014	Malmo, Sweden	ICD-9 and ICD-10 codes	Cohort study (MDC)	Born 1923–1950
	Corrao, 2014	Lombardy, Italy	ICD-9 codes	Health services database
	Khan, 2014	USA	Signs and symptoms	Random sample of Medicare beneficiaries	65+
	Rautiainen, 2013	Sweden	ICD-10 codes	Cohort study of two counties	Women Born 1914–1948
	Shah, 2013	USA	Cardiovascular Health Study criteria	Cohort study in six communities (MESA)
	Zarrinkoub, 2013	Stockholm, Sweden	ICD-10 codes	Public health system database
	Wasywich, 2010	New Zealand	ICD-9 codes	Public health system database	18+
	Curtis, 2008	USA	ICD-9 codes	Representative sample of Medicare records	65+
	Loehr, 2008	USA	ICD-9 codes	Population-based cohort (ARIC)	45–64
	van Jaarsveld, 2006	Northern Netherlands	ICPC codes	Sample from participating GPs	57+
	de Giuli, 2005	UK	Chart extraction	Sample from general practice database	45+
	Bleumink, 2004	Rotterdam, The Netherlands	European Society of Cardiology 2001 criteria	Cohort study of single suburb	55+
	Lee, 2004	Canada	ICD-9 codes	Hospital discharges, death registry	20–105
	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+
	Fox, 2001	South London, UK	European Society of Cardiology 1995 criteria	Registry of participating practices
	Senni, 1999	Minnesota, USA	Framingham criteria	Random sample of single county
	Zannad, 1999	Lorraine, France	Signs and symptoms	Patients from participating hospitals	20–80
	Remes, 1992	Eastern Finland	Boston criteria	Patients from participating hospitals	45–74
	Kannel, 1991	USA	Framingham criteria	Framingham study
North Africa and Middle East	Al Suwaidi, 2004	Qatar	Framingham criteria	Patients in referral hospital
Southeast Asia, East Asia and Oceania	Tseng, 2011	Taiwan (Province of China)	ICD-9 codes	Random sample of insurance registrar	20+
	Hung, 2000	China	ICD-9 codes	Patients in 11 participating hospitals

ARIC, Atherosclerosis Risk in Communities Study; GP, general practitioner; ICD, International Classification of Disease; MDC, Malmö Diet and Cancer; MESA, Multi-Ethnic Study of Atherosclerosis; MORGEN, Monitoring Project on Risk Factors for Chronic Diseases.