Skip to main content
Erschienen in: Clinical Research in Cardiology 11/2017

Open Access 26.07.2017 | Original Paper

Epidemiology of heart failure in Germany: a retrospective database study

verfasst von: Stefan Störk, Renate Handrock, Josephine Jacob, Jochen Walker, Frederico Calado, Raquel Lahoz, Stephan Hupfer, Sven Klebs

Erschienen in: Clinical Research in Cardiology | Ausgabe 11/2017

Abstract

Background

Chronic heart failure (HF) is associated with significant healthcare expenditure, morbidity, and mortality. This study investigated the epidemiology of HF in Germany.

Methods

This retrospective study used anonymous healthcare claims data from the German Health Risk Institute on individuals with statutory health insurance. Patients with uninterrupted data from 1 January 2009 to 31 December 2013 or death (whichever occurred first), and ≥2 recorded HF-related diagnoses in 2011, were included. Patients with newly diagnosed HF were identified. Patients were followed up for 2 years from first diagnosis.

Results

Of 3,132,337 eligible patients, 123,925 (55.0% women; mean age 76.2 years) had HF: a prevalence of 3.96%. Of these, 26,368 had newly diagnosed HF: an incidence of 655/100,000 persons at risk. Incidence increased with age and was similar regardless of sex. During follow-up, there were 48,159 hospital admissions among newly diagnosed patients (1.8 hospitalizations/patient/2 years); HF accounted for 6% of these. Additionally, 20,148 patients (16.3%) overall and 5983 newly diagnosed patients (22.7%) died. Most new cases of HF were diagnosed by office-based physicians (63.2%); new cases among hospital inpatients were predominantly diagnosed by internal medicine specialists (70.7%). Overall, 94.0% received their initial prescription for HF treatment from a family practitioner.

Conclusions

The high prevalence and incidence observed in this representative sample emphasize the burden of HF in Germany. Substantial hospitalization rates and mortality highlight the need for early diagnosis and appropriate treatment, and for close cooperation between physician specialties and healthcare sectors.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s00392-017-1137-7) contains supplementary material, which is available to authorized users.

Introduction

Heart failure (HF) is a major clinical and public health problem worldwide, associated with significant healthcare expenditure, morbidity, and mortality, particularly in individuals aged ≥65 years [1]. HF was identified as an emerging epidemic as early as 1997 [2]. The prevalence of heart disease increases with age [3]; therefore, HF is set to be a growing public health issue as the population ages.
It has been estimated that up to ~3% of the general population, and 10% of the elderly, may be living with HF in the twenty-first century in the USA [3]. The overall incidence of HF has been estimated to be ~1–2 cases per 1000 individuals, based on data from large, prospective, population-based studies conducted in the USA in the 1990s [4, 5]; however, few studies provide recent estimates of the prevalence and incidence of HF in European populations. A cross-sectional study of individual patient data from Sweden estimated HF prevalence and incidence for the entire Swedish population, adjusting for demographic composition in 2010. The overall prevalence of HF was 2.2%, while the incidence was 3.8/1000 persons at risk [6]. In a cross-sectional, population-based study in Germany, the overall age-standardized prevalence of symptomatic chronic HF was 7.7% for men and 9.0% for women [7]. Finally, in a recent, large, real-world study of data from three German statutory health insurance (SHI) providers, the age- and sex-standardized prevalence of HF was estimated at 1.7% in 2004, 1.9% in 2005, and 1.7% in 2006 [8].
HF is the most common cause of hospital admission and the third most common cause of death in Germany [9]; between 2000 and 2013, the number of hospitalizations for HF increased from 239,694 to 396,380 cases [10]. HF is also associated with a substantial financial burden. The condition accounts for ~1–2% of direct health costs in Western industrialized nations, and ~1.1% of direct health costs in Germany, where the direct hospital costs (€2.9 billion in 2006) are primarily driven by the cost of inpatient stays [9]. A recent systematic review found that direct medical costs for patients with chronic HF were €3417–5576 per patient per year. Furthermore, treatment costs were shown to increase with disease progression [11]. This confirms the high financial impact that HF has on the German healthcare system.
We conducted a retrospective analysis using data from the Health Risk Institute (HRI) database to evaluate the epidemiology of HF in a representative sample in Germany. We further aimed to evaluate selected predictors of the risk of hospitalization and death in patients with HF, and to describe the way in which patients newly diagnosed with HF were diagnosed and treated.

Methods

Study design and objectives

This was a retrospective healthcare claims study conducted using data obtained from the German Health Risk Institute (HRI) research database, which contains anonymized data from ~7 million individuals with SHI collected between 2008 and 2013 [12]. Data within the database are provided mainly by company and guild health insurers. Of the 81.2 million inhabitants in Germany, 70.6 million have SHI, while the remaining individuals have private medical insurance [13]; based on this, it has been estimated that the database contains data on ~10% of the population with SHI in Germany.
The HRI database is updated on a monthly basis and provides a complete data set for each patient across all available health care sectors (ambulatory and hospital care; pharmaceuticals; medical aids and remedies; sick leave). Information on the utilization of services on an individual basis enables patient-level analysis of disease and treatment data. For this study, a subset of ~4 million individuals from the 7 million in the database was selected based on the age and sex distribution of the German population as of 31 December 2011 [12].
The specific objectives of this study were to: characterize the study population by age, sex, and New York Heart Association (NYHA) functional classification; estimate the prevalence and incidence of HF by NYHA classification; determine the most common comorbidities; assess the rates of and most common reasons for hospitalization; determine the influence of age on the risk of hospitalization; assess mortality in the 2 years after an initial diagnosis of HF; and identify the physician specialities responsible for HF diagnosis and prescription of HF treatment (including glycosides, angiotensin II receptor blockers, angiotensin-converting enzyme inhibitors, diuretics, β-blockers, calcium-channel blockers, other antihypertensive medication, and other heart medication).
All patient data in the HRI database were anonymized and were collected from individuals receiving routine treatment; therefore, patient consent and approval by an independent local ethics committee were not required.

Study population

To be eligible for inclusion in this analysis, patients were required to have uninterrupted HRI data from 1 January 2009 to 31 December 2013, or until death (whichever occurred first). Individuals who died before 1 January 2011 were excluded. Patients were required to have at least two documented HF-related diagnoses, according to the International Classification of Diseases and Related Health Problems, Tenth Edition, German Modification (ICD-10-GM), made in either a hospital or an ambulatory setting during the identification period (1 January−31 December 2011). This population is referred to as the total population with HF (Table 1 shows the ICD-10-GM codes that were used to determine which patients were included in this study population). The quarter of the calendar year in which the first HF diagnosis occurred was defined as the index quarter. A subgroup of the total population in whom the onset of HF was considered de novo was identified, based on the absence of a documented HF-related diagnosis in the 1 year preceding the index quarter. These patients are described as those with newly diagnosed HF.
Table 1
ICD-10-GM codes used to include patients in the total population with heart failure
ICD-10-GM code
Corresponding diagnosis
I50.0
Right ventricular failure
I50.00
Primary right ventricular failure
I50.01
Secondary right ventricular failure
I50.1
Left ventricular failure
I50.11
NYHA class I
I50.12
NYHA class II
I50.13
NYHA class III
I50.14
NYHA class IV
I50.19
NYHA class not specified
I50.9
Heart failure, unspecified
I11.0
Hypertensive heart disease with (congestive) heart failure
I13.0
Hypertensive heart and renal disease with (congestive) heart failure
I13.2
Hypertensive heart and renal disease with both (congestive) heart failure and renal failure
ICD-10-GM International Classification of Diseases and Related Health Problems, Tenth Edition, German Modification, NYHA New York Heart Association
All patients were followed for 2 years after the index quarter. Specific NYHA classes were attributed to patients according to ICD-10-GM coding available in the HRI database. If a patient had more than one NYHA class documented, the last NYHA class documented in 2011 was used. Patients without ICD-10-GM indicators for NYHA class were assigned to a group named ‘any other’.

Study outcomes

Data collected in the HRI database included: patient demographics comprising age, sex, date of death, region or place of residence, and dates of insurance start and end; indices of outpatient care including ICD-10-GM codes; hospital admission and discharge dates; and diagnoses/reasons for hospitalization. The healthcare sector in which patients received a new diagnosis of HF was examined. The sector in which newly diagnosed patients surviving each quarter were treated was also analysed. The database does not include data on symptom scores, quality of life, or clinical parameters, such as left ventricular ejection fraction or laboratory test results.
Comorbidities were based on main and secondary hospital discharge diagnoses, as well as ambulatory diagnoses; if a patient had one or more diagnoses in the index quarter, these were recorded as comorbidities. Comorbidities were quantified using the Charlson comorbidity index [14].

Data analysis

Incidences and prevalences are reported as (a) absolute frequencies and (b) frequencies per 100,000 individuals covered by German SHI. Estimates of frequencies in the German SHI population are based on adjustment weighting (simple cell weighting) for the multivariate distribution of age class, sex, and region (federal state level) in Germany.
A logistic regression model with age as a predictor variable was used to estimate the effect that age had on the risks of hospitalization and death. The analyses were adjusted for treatment, dose used, duration of treatment, sex, comorbidities, and Charlson comorbidity index [14].
The absolute number of cases of HF in the HRI sample database was validated against benchmark data from the German Federal (Social) Insurance Authority [Bundesversicherungsamt (BVA)] by adjusting the list of ICD-10-GM codes defining HF in accordance with the BVA definition for the year 2011 [15]. The proportion of ambulatory or hospital outpatient I50-related diagnoses in the database (4.03%) was consistent with BVA data (4.36%) [16]. The frequency of I50-related hospitalizations in the database (2.05%) was compared with numbers reported by the German Federal Statistical Office (2.02%) [17]. Numbers of prescriptions of pharmacological treatments for HF were compared with figures reported in the German drug prescription report [18]. These validations demonstrated that extrapolation of data from the database to general patients with SHI was robust. Statistical analysis was conducted in accordance with the German Guidelines and Recommendations to Assure Good Epidemiological Practice and the guideline Good Practice Secondary Data Analysis [19, 20].

Results

Of the 4,088,854 patients in the representative subset of the database used, 3,132,337 had observable data from 1 January 2009 to 31 December 2013, had not died before 1 January 2011, and were, therefore, included in the study.

Prevalence

In total, 4.0% of patients (n = 123,925) included in this study had at least two ICD-10-GM codes indicative of HF recorded in 2011. After adjustment weighting based on age class, sex, and region, this corresponded to an estimated prevalence of HF of 3.9% in the German SHI population. Overall, the mean age of the total population with HF was 76.2 years, and 55.0% were women. In general, the prevalence of HF increased with age, as did the prevalence of HF defined by a specific NYHA class (Fig. 1a, b), reported for 20.9% of patients (25,863 of 123,925 cases).

Incidence

In total, 26,368 patients in the sample were newly diagnosed with HF in 2011. This corresponds to an overall incidence of 655 new cases per 100,000 persons at risk, and, when extrapolated to the German SHI population, to 524,000 new HF cases annually. The overall incidence was similar in women and men (665 per 100,000 persons at risk vs 645 per 100,000 persons at risk), and for both sexes, the incidence of new cases increased with higher age (Table 2). When categorized by age, the incidence per 100,000 persons at risk was higher in men than in women across all age groups (Table 2).
Table 2
Patients with newly diagnosed heart failure in 2011 by age, sex, and NYHA class
Sex
Age, years
NYHA I
NYHA II
NYHA III
NYHA IV
Any othera
Total
n
Per 100,000 persons at risk
n
Per 100,000 persons at risk
n
Per 100,000 persons at risk
n
Per 100,000 persons at risk
n
Per 100,000 persons at risk
n
Per 100,000 persons at risk
Women
≤49
18
2
37
4
23
2
12
1
234
23
324
31
50–54
17
10
39
23
17
10
12
7
213
128
298
179
55–59
26
17
68
45
33
22
14
9
325
214
466
306
60–64
36
25
139
97
63
44
23
16
544
378
805
559
65–69
70
61
171
148
91
79
54
47
682
590
1,068
924
70–74
104
72
353
244
237
164
102
71
1298
899
2094
1450
75–79
120
113
366
345
297
280
156
147
1543
1456
2482
2342
80–84
109
141
354
457
332
428
212
274
1665
2148
2672
3448
85–89
85
170
228
456
290
580
202
404
1321
2642
2126
4251
≥90
25
106
95
404
119
506
106
450
738
3135
1083
4601
All
610
30
1850
92
1502
74
893
44
8563
425
13,418
665
Men
≤49
50
5
87
8
33
3
22
2
406
37
598
55
50–54
45
26
83
47
55
31
20
11
369
210
572
325
55–59
69
44
148
93
73
46
43
27
502
317
835
527
60–64
80
52
197
127
104
67
61
39
751
485
1193
771
65–69
95
80
244
206
147
124
74
62
832
701
1392
1173
70–74
159
115
416
300
269
194
156
113
1468
1060
2468
1781
75–79
119
130
414
452
317
346
180
197
1445
1579
2475
2705
80–84
78
145
269
500
263
489
181
337
1153
2144
1944
3616
85–89
32
142
147
651
162
717
104
460
652
2886
1097
4855
≥90
9
124
39
537
39
537
38
523
251
3456
376
5177
All
736
37
2044
102
1462
73
879
44
7829
390
12,950
645
Total
≤49
68
3
124
6
56
3
34
2
640
30
922
43
50–54
62
18
122
36
72
21
32
9
582
170
870
254
55–59
95
31
216
70
106
34
57
18
827
266
1301
419
60–64
116
39
336
112
167
56
84
28
1295
434
1998
669
65–69
165
70
415
177
238
102
128
55
1514
646
2460
1050
70–74
263
93
769
272
506
179
258
91
2766
978
4562
1612
75–79
239
121
780
395
614
311
336
170
2988
1513
4957
2510
80–84
187
142
623
475
595
453
393
299
2818
2147
4616
3516
85–89
117
161
375
517
452
623
306
421
1973
2718
3223
4439
≥90
34
110
134
435
158
513
144
468
989
3211
1459
4737
All
1346
33
3894
97
2964
74
1772
44
16,392
407
26,368
655
n number of patients with a diagnosis of heart failure in 2011 and no heart failure diagnosis in the previous year; incidence values are based on the number of patients who had continuous data between 1 January 2009 and 31 December 2013, or until death (whichever occurred first), NYHA New York Heart Association
a Refers to any patient without a specific NYHA classification
Of the 26,368 patients with newly diagnosed HF, 9976 (37.8%) had received an ICD-10-GM code with the NYHA class specified. The incidence of HF categorized as NYHA class I (33 per 100,000 persons at risk) was lower than the incidence of HF categorized as NYHA class II (97 cases per 100,000 persons at risk), NYHA class III (74 per 100,000 persons at risk), or NYHA class IV (44 per 100,000 persons at risk).

Hospitalizations and morbidity

In the total population with HF, 68,296 patients (55.1%) were hospitalized over the 2-year follow-up period, and 11,761 of these patients (17.2%) were rehospitalized in the same time frame. Logistic regression modelling showed that there was an increase in the risk of hospitalization with advancing age, with the risk being significantly greater in patients aged ≥70 years than in patients aged ≤49 years (Fig. 2).
Of the 26,368 patients with newly diagnosed HF, the total number of hospital admissions registered in the 2 years after the first HF diagnosis was 48,159, corresponding to a mean of 1.8 admissions per patient. More than two-thirds (73.0%) of these hospital admissions were not related to cardiovascular events; 21.0% were for treatment of a cardiovascular disease other than HF; hospitalization due to HF accounted for 6.0% of total admission counts. Of the patients with newly diagnosed HF, the most frequently recorded specific reason for hospitalization was HF (n = 1970 of 26,368 patients; 7.5%; Table 3). The most frequently recorded comorbidities in the index quarters in patients with newly diagnosed HF were primary hypertension (81.7%), dyslipidaemias (50.4%), and chronic ischaemic heart disease (44.4%; Table 4).
Table 3
The ten most common reasons for hospitalization in the 2 years following the first diagnosis of heart failure in 2011 in the population with newly diagnosed heart failure (N = 26,368)
ICD-10-GM code
Diagnosis
n
%
I50
Heart failure
1970
7.47
R06
Breathing abnormalities
1682
6.38
I20
Angina pectoris
1009
3.83
I25
Chronic ischaemic heart disease
917
3.48
I48
Atrial fibrillation and flutter
916
3.47
R10
Abdominal and pelvic pain
766
2.91
R55
Syncope and collapse
733
2.78
J18
Pneumonia, organism unspecified
625
2.37
I70
Atherosclerosis
605
2.29
I63
Cerebral infarction
596
2.26
n number of hospitalization events, ICD-10-GM International Classification of Diseases and Related Health Problems, Tenth Edition, German Modification
Table 4
The 20 most common comorbidities recorded in the index quarter in which patients were first diagnosed with heart failure (N = 26,368)
ICD-10-GM code
Comorbidity
n
%
I10
Essential (primary) hypertension
21,530
81.7
E78
Disorders of lipoprotein metabolism and other dyslipidaemias
13,301
50.4
I25
Chronic ischaemic heart disease
11,711
44.4
I11
Hypertensive heart disease
10,313
39.1
E11
Non-insulin-dependent diabetes mellitus
9138
34.7
I48
Atrial fibrillation and flutter
7833
29.7
Z92
Personal history of medical treatment
6661
25.3
M54
Dorsalgia
6577
24.9
N18
Chronic kidney disease
5788
22.0
E66
Obesity
5744
21.8
E87
Other disorders of fluid, electrolyte, and acid–base balance
5096
19.3
Z95
Presence of cardiac and vascular implants and grafts
4965
18.8
J44
Other chronic obstructive pulmonary disease
4795
18.2
E79
Disorders of purine and pyrimidine metabolism
4748
18.0
M17
Gonarthrosis
4525
17.2
H52
Disorders of refraction and accommodation
4432
16.8
I49
Other cardiac arrhythmias
4386
16.6
F32
Depressive episode
4156
15.8
E14
Unspecified diabetes mellitus
3974
15.1
N39
Other disorders of the urinary system
3891
14.8
n number of patients, ICD-10-GM International Classification of Diseases and Related Health Problems, Tenth Edition, German Modification

Mortality

Among the total population with HF, there were 20,148 deaths (16.3%) in the 2-year follow-up period. There was a significant increase in the risk of death with increasing age, with the risk being significantly greater in patients aged ≥50 years than in patients aged ≤49 years (Fig. 3).
A total of 22.7% of patients (n = 5983) with newly diagnosed HF died within the 2-year follow-up period (Fig. 4). Half of the study population who died did so within 9 months of their initial HF diagnosis. Mortality was similar in women and men, and increased with age; a total of 55.9% of individuals aged ≥90 years died in the 2-year follow-up period, compared with 4.0% of patients aged ≤49 years. Mortality also increased with increasing NYHA class: class I, 14.6%; class II, 16.9%; class III, 30.8%; class IV, 53.3% (Fig. 5).

Diagnosis and prescription

The majority of patients receiving a new diagnosis of HF were identified by an office-based physician (63.2%, n = 16,653). In 36.6% (n = 9653) of patients, the diagnosis was made in a hospital inpatient setting. Only very few patients were diagnosed in a hospital outpatient setting (0.20%, n = 53) (Supplemental Fig. 1).
Most diagnoses made by an office-based physician were made by family practitioners (including general practitioners and general internal specialists and practitioners) (61.6%, n = 10,254), but a small proportion (7.0%, n = 1171) came from physicians outside family and internal medicine. Furthermore, 6.8% (n = 1133) of new diagnoses were made by specialists in internal medicine without a background in cardiology and 14.8% (n = 2462) were made by cardiologists. The diagnosis setting of the remaining patients (9.8%, n = 1633) was unknown.
The majority (70.7%, n = 6827) of new HF diagnoses within a hospital inpatient setting were made by internal medicine specialists; of those, approximately one-quarter (27.3%, n = 1864) were made by cardiologists. The remaining diagnoses were made by physicians in surgical (11.7%, n = 1131) or other disciplines (13.0%, n = 1258), or no information was available (4.5%, n = 437). No information was available for new HF diagnoses made in a hospital outpatient setting. Most patients (94.0%) received their initial prescription for the treatment of HF from a family practitioner (Supplemental Fig. 2a), and this proportion remained similar (84.0%) for follow-up prescriptions (Supplemental Fig. 2b). A much smaller proportion of patients received their initial prescription from a physician with a background in cardiology (2%) or other internal medicine (3%); again these proportions remained similar for follow-up prescriptions (cardiology, 5%; other internal medicine, 6%). Data on the professional background of the prescribing physician were unavailable for 4% of patients who received follow-up prescriptions (Supplemental Fig. 2b).

Validation of the database sample

The estimated prevalence of HF based on the extrapolated number of ambulatory and hospital HF diagnoses, according to the BVA definition adjusted for sex, age, and federal state, was 4.03%; this is consistent with the value of 4.36% reported by the BVA [15]. The estimated proportion of annual hospital admissions due to HF was 2.05% in the HRI database sample; this was similar to the proportion of 2.02% reported by the German Federal Statistical Office (standardized mean difference of 0.25%) [17].

Discussion

There are few studies providing up-to-date estimates of the prevalence and incidence of HF in Europe [6, 7]; the findings of this large, retrospective database study expand our knowledge in this area and support the notion that estimates of HF in Germany are continuously growing [8]. Considering that over 55% of patients with HF were hospitalized in the 2-year period of the study, and over one-fifth of newly diagnosed patients died within the same time frame, these findings underline the relentless burden of HF in Germany.
This study estimated the prevalence of HF to be 3.96% and the incidence to be 655 new cases per 100,000 persons at risk; this means that 524,000 new cases of HF are expected to be diagnosed per year in Germany. These findings are broadly in line with reports from other European countries and the USA, where prevalence ranges of ~1–3% [3, 7, 8] and incidence ranges of 100–500 per 100,000 persons at risk in the general population, unadjusted for age, have been reported [4, 8].
In our analyses, the prevalence and incidence of HF increased with age, consistent with reports from large population-based studies in the Netherlands [21] and the USA [5]. The incidence of HF was higher in men than in women when examining individual age groups, although this was not the case when looking at overall incidence. This may be explained by the finding that there were more women than men in the older age groups, probably reflecting higher life expectancy in women than in men [22]. The incidence of HF also varied by NYHA classification; the incidence of NYHA class I HF was markedly lower than that of NYHA classes II–IV. This is probably owing to the fact that many patients with NYHA class I HF do not exhibit symptoms attributable to heart disease [23] and therefore remain undiagnosed until symptoms occur.
The financial burden of HF on healthcare systems is dominated by the direct hospital costs of inpatient stays [9, 11], and treatment costs have been shown to increase with disease progression [11]. In the current study, HF was the most common reason for hospitalization of patients with newly diagnosed HF, and the risk of hospitalization increased with increasing age. Importantly, over 80% of these patients suffered from comorbidities that are associated with accelerated disease progression [24]. Furthermore, 16.3% of patients with HF, and over one-fifth of newly diagnosed patients, died within the 2-year follow-up period. As expected, mortality increased substantially with increasing age and NYHA class; more than half of all patients newly diagnosed with HF of NYHA class IV died within 2 years of diagnosis. This underlines the need for appropriate management strategies depending on disease severity; on one hand, palliative strategies for patients with advanced HF need to be carefully considered, but on the other hand, earlier diagnosis and improved management of patients in their most vulnerable phases—immediately after diagnosis and/or discharge from hospital—are needed.
According to our data, office-based family practitioners currently diagnose the majority of patients with HF in the German healthcare system, and remain their principal provider of pharmacotherapy. However, general practitioners face major obstacles in establishing a diagnosis of HF, because they often lack time, expertise, or access to echocardiography [25]. Accordingly, only 20.9% of patients have a NYHA class assigned, which is mandatory to apply guideline-recommended strategies. Because prognosis for patients with HF critically depends on early diagnosis and risk-adapted treatment and care (especially in the 6–12 months after diagnosis), our data strongly underscore the need for more appropriate strategies to apply the evidence-based diagnostic and care algorithms in the German healthcare system. A more systematic involvement of cardiological expertise in diagnosis and in the adoption and up-titration of HF therapy seems intuitive, as does the engagement of dedicated nursing staff (both in hospitals and outpatient practices) to support, accelerate, and amplify such efforts. Further studies, preferably including analyses of regional healthcare providers rather than selected practices, are needed to quantify the effectiveness of patient pathways in terms of costs and patient outcomes.

Strengths and limitations

Strengths of the current investigation lie in the large sample size and well-validated database it employed. Limitations of this analysis include those inherent to claims database studies, such as the reliance on accurate coding and diagnosis and systematic lack of clinical data. In particular, the proportion of patients with newly diagnosed HF recorded as having NYHA class I disease is probably an underestimation of the true proportion, limiting the conclusions that can be drawn for this subpopulation. A large proportion of initial diagnoses of heart failure were made by general practitioners. However, 55.1% of patients were hospitalized during the 2-year follow-up period, which is likely to involve treatment and/or further tests by a specialist. Furthermore, because ICD-10-GM codes do not differentiate between specific types of HF, it was not possible to determine whether patients had reduced or preserved ejection fraction. Finally, the ~10% of the German population with private medical insurance is not covered in this database, which limits the extrapolation of the results to this population.

Conclusions

The high prevalence and incidence of HF, the substantial mortality in the 2 years following diagnosis, and the high level of associated morbidity observed in this study underline the heavy burden that HF imposes on the German healthcare system. This highlights the urgent need for improving diagnosis and treatment of this disease. Close collaboration between all physician specialities and healthcare sectors is essential to improve the prognosis for patients with HF in Germany today.

Acknowledgements

Medical writing support was provided by Katie Pillidge, Ph.D., and Carly Sellick, B.Sc., of PharmaGenesis London, London, UK, and was funded by Novartis Pharma AG.

Compliance with ethical standards

Funding statement

This study was funded by Novartis Pharma AG. Data analysis was performed by Elsevier Health Analytics in coordination with the Health Risk Institute (both Berlin, Germany).

Ethical standards

This study was conducted in accordance with the Guidelines for Good Pharmacoepidemiology Practices of the International Society for Pharmacoepidemiology (2008), the Strengthening the Reporting of Observational Studies in Epidemiology guidelines (2008), and with the ethical principles laid down in the Declaration of Helsinki.

Conflict of interest

Stefan Störk receives funding from the German Federal Ministry of Education and Research (01EO1004 and 01EO1504) and has received honoraria from Bayer, Boehringer Ingelheim, Novartis, and Servier. Renate Handrock, Stephan Hupfer, and Sven Klebs are employees of Novartis Pharma GmbH. Josephine Jacob and Jochen Walker were employees of Elsevier Health Analytics at the time of the study and were consultants for Novartis. Frederico Calado and Raquel Lahoz are employees of Novartis Pharma AG.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Unsere Produktempfehlungen

Neuer Inhalt

Print-Titel

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

Anhänge

Electronic supplementary material

Below is the link to the electronic supplementary material.
Literatur
2.
Zurück zum Zitat Braunwald E (1997) Shattuck lecture—cardiovascular medicine at the turn of the millennium: triumphs, concerns, and opportunities. N Engl J Med 337:1360–1369CrossRefPubMed Braunwald E (1997) Shattuck lecture—cardiovascular medicine at the turn of the millennium: triumphs, concerns, and opportunities. N Engl J Med 337:1360–1369CrossRefPubMed
3.
Zurück zum Zitat Bui AL, Horwich TB, Fonarow GC (2011) Epidemiology and risk profile of heart failure. Nat Rev Cardiol 8:30–41CrossRefPubMed Bui AL, Horwich TB, Fonarow GC (2011) Epidemiology and risk profile of heart failure. Nat Rev Cardiol 8:30–41CrossRefPubMed
4.
Zurück zum Zitat Cowie MR, Wood DA, Coats AJ, Thompson SG, Poole-Wilson PA, Suresh V, Sutton GC (1999) Incidence and aetiology of heart failure; a population-based study. Eur Heart J 20:421–428CrossRefPubMed Cowie MR, Wood DA, Coats AJ, Thompson SG, Poole-Wilson PA, Suresh V, Sutton GC (1999) Incidence and aetiology of heart failure; a population-based study. Eur Heart J 20:421–428CrossRefPubMed
5.
Zurück zum Zitat Ho KK, Pinsky JL, Kannel WB, Levy D (1993) The epidemiology of heart failure: the Framingham Study. J Am Coll Cardiol 22:6a–13aCrossRefPubMed Ho KK, Pinsky JL, Kannel WB, Levy D (1993) The epidemiology of heart failure: the Framingham Study. J Am Coll Cardiol 22:6a–13aCrossRefPubMed
6.
Zurück zum Zitat Zarrinkoub R, Wettermark B, Wandell P, Mejhert M, Szulkin R, Ljunggren G, Kahan T (2013) The epidemiology of heart failure, based on data for 2.1 million inhabitants in Sweden. Eur J Heart Fail 15:995–1002CrossRefPubMed Zarrinkoub R, Wettermark B, Wandell P, Mejhert M, Szulkin R, Ljunggren G, Kahan T (2013) The epidemiology of heart failure, based on data for 2.1 million inhabitants in Sweden. Eur J Heart Fail 15:995–1002CrossRefPubMed
7.
Zurück zum Zitat Tiller D, Russ M, Greiser KH et al (2013) Prevalence of symptomatic heart failure with reduced and with normal ejection fraction in an elderly general population-the CARLA study. PLoS One 8:e59225CrossRefPubMedPubMedCentral Tiller D, Russ M, Greiser KH et al (2013) Prevalence of symptomatic heart failure with reduced and with normal ejection fraction in an elderly general population-the CARLA study. PLoS One 8:e59225CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Ohlmeier C, Mikolajczyk R, Frick J, Prutz F, Haverkamp W, Garbe E (2015) Incidence, prevalence and 1-year all-cause mortality of heart failure in Germany: a study based on electronic healthcare data of more than six million persons. Clin Res Cardiol 104:688–696CrossRefPubMed Ohlmeier C, Mikolajczyk R, Frick J, Prutz F, Haverkamp W, Garbe E (2015) Incidence, prevalence and 1-year all-cause mortality of heart failure in Germany: a study based on electronic healthcare data of more than six million persons. Clin Res Cardiol 104:688–696CrossRefPubMed
9.
Zurück zum Zitat Neumann T, Biermann J, Erbel R, Neumann A, Wasem J, Ertl G, Dietz R (2009) Heart failure: the commonest reason for hospital admission in Germany: medical and economic perspectives. Dtsch Arztebl Int 106:269–275PubMedPubMedCentral Neumann T, Biermann J, Erbel R, Neumann A, Wasem J, Ertl G, Dietz R (2009) Heart failure: the commonest reason for hospital admission in Germany: medical and economic perspectives. Dtsch Arztebl Int 106:269–275PubMedPubMedCentral
10.
Zurück zum Zitat Christ M, Stork S, Dorr M, Heppner HJ, Muller C, Wachter R, Riemer U, For the Trend HF Germany Project (2016) Heart failure epidemiology 2000-2013: insights from the German Federal Health Monitoring System. Eur J Heart Fail 18:1009–1018CrossRefPubMed Christ M, Stork S, Dorr M, Heppner HJ, Muller C, Wachter R, Riemer U, For the Trend HF Germany Project (2016) Heart failure epidemiology 2000-2013: insights from the German Federal Health Monitoring System. Eur J Heart Fail 18:1009–1018CrossRefPubMed
11.
Zurück zum Zitat Schmid T, Xu W, Gandra SR, Michailov GV (2015) Costs of treating cardiovascular events in Germany: a systematic literature review. Health Econ Rev 5:27CrossRefPubMedPubMedCentral Schmid T, Xu W, Gandra SR, Michailov GV (2015) Costs of treating cardiovascular events in Germany: a systematic literature review. Health Econ Rev 5:27CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Andersohn F, Walker J (2016) Characteristics and external validity of the German Health Risk Institute (HRI) Database. Pharmacoepidemiol Drug Saf 25:106–109CrossRefPubMed Andersohn F, Walker J (2016) Characteristics and external validity of the German Health Risk Institute (HRI) Database. Pharmacoepidemiol Drug Saf 25:106–109CrossRefPubMed
14.
Zurück zum Zitat Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383CrossRefPubMed
15.
Zurück zum Zitat Pasternak B, Mattsson A, Svanstrom H, Hviid A (2015) Comparative effectiveness of bisoprolol and metoprolol succinate in patients with heart failure. Int J Cardiol 190:4–6CrossRefPubMed Pasternak B, Mattsson A, Svanstrom H, Hviid A (2015) Comparative effectiveness of bisoprolol and metoprolol succinate in patients with heart failure. Int J Cardiol 190:4–6CrossRefPubMed
16.
Zurück zum Zitat Statistisches Bundesamt (ed) (2012) Diagnosedaten der Patienten und Patientinnen in Krankenhäusern (einschl. Sterbe- und Stundenfälle), Fachserie 12 Reihe 6.2.1 Statistisches Bundesamt (ed) (2012) Diagnosedaten der Patienten und Patientinnen in Krankenhäusern (einschl. Sterbe- und Stundenfälle), Fachserie 12 Reihe 6.2.1
17.
Zurück zum Zitat Svanstrom H, Pasternak B, Melbye M, Hviid A (2015) Use of different types of angiotensin converting enzyme inhibitors and mortality in systolic heart failure. Int J Cardiol 182:90–96CrossRefPubMed Svanstrom H, Pasternak B, Melbye M, Hviid A (2015) Use of different types of angiotensin converting enzyme inhibitors and mortality in systolic heart failure. Int J Cardiol 182:90–96CrossRefPubMed
18.
Zurück zum Zitat Schwabe U, Paffrath D (2012) Arzneiverordnungs-Report. Springer, Berlin Schwabe U, Paffrath D (2012) Arzneiverordnungs-Report. Springer, Berlin
19.
Zurück zum Zitat Leitlinien und Empfehlungen zur Sicherung von Guter Epidemiologischer Praxis (GEP) (2009) Deutsche Gesellschaft für Epidemiologie Leitlinien und Empfehlungen zur Sicherung von Guter Epidemiologischer Praxis (GEP) (2009) Deutsche Gesellschaft für Epidemiologie
20.
Zurück zum Zitat Gute Praxis Sekundärdatenanalyse (GPS) Leitlinien und Empfehlungen (3. Fassung) (2012) Arbeitsgruppe Erhebung und Nutzung von Sekundärdaten (AGENS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaftfür Epidemiologie (DGEpi) (eds) Gute Praxis Sekundärdatenanalyse (GPS) Leitlinien und Empfehlungen (3. Fassung) (2012) Arbeitsgruppe Erhebung und Nutzung von Sekundärdaten (AGENS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaftfür Epidemiologie (DGEpi) (eds)
21.
Zurück zum Zitat Mosterd A, Hoes AW, de Bruyne MC, Deckers JW, Linker DT, Hofman A, Grobbee DE (1999) Prevalence of heart failure and left ventricular dysfunction in the general population; The Rotterdam Study. Eur Heart J 20:447–455CrossRefPubMed Mosterd A, Hoes AW, de Bruyne MC, Deckers JW, Linker DT, Hofman A, Grobbee DE (1999) Prevalence of heart failure and left ventricular dysfunction in the general population; The Rotterdam Study. Eur Heart J 20:447–455CrossRefPubMed
22.
Zurück zum Zitat Maggioni AP, Anker SD, Dahlstrom U et al (2013) Are hospitalized or ambulatory patients with heart failure treated in accordance with European Society of Cardiology guidelines? Evidence from 12,440 patients of the ESC heart failure long-term registry. Eur J Heart Fail 15:1173–1184CrossRefPubMed Maggioni AP, Anker SD, Dahlstrom U et al (2013) Are hospitalized or ambulatory patients with heart failure treated in accordance with European Society of Cardiology guidelines? Evidence from 12,440 patients of the ESC heart failure long-term registry. Eur J Heart Fail 15:1173–1184CrossRefPubMed
23.
Zurück zum Zitat McMurray JJ, Adamopoulos S, Anker SD et al (2012) ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: the task force for the diagnosis and treatment of acute and chronic heart failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J 33:1787–1847CrossRefPubMed McMurray JJ, Adamopoulos S, Anker SD et al (2012) ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: the task force for the diagnosis and treatment of acute and chronic heart failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J 33:1787–1847CrossRefPubMed
24.
Zurück zum Zitat Metra M, Zaca V, Parati G et al (2011) Cardiovascular and noncardiovascular comorbidities in patients with chronic heart failure. J Cardiovasc Med (Hagerstown) 12:76–84CrossRef Metra M, Zaca V, Parati G et al (2011) Cardiovascular and noncardiovascular comorbidities in patients with chronic heart failure. J Cardiovasc Med (Hagerstown) 12:76–84CrossRef
25.
Zurück zum Zitat Khunti K, Hearnshaw H, Baker R, Grimshaw G (2002) Heart failure in primary care: qualitative study of current management and perceived obstacles to evidence-based diagnosis and management by general practitioners. Eur J Heart Fail 4:771–777CrossRefPubMed Khunti K, Hearnshaw H, Baker R, Grimshaw G (2002) Heart failure in primary care: qualitative study of current management and perceived obstacles to evidence-based diagnosis and management by general practitioners. Eur J Heart Fail 4:771–777CrossRefPubMed
Metadaten
Titel
Epidemiology of heart failure in Germany: a retrospective database study
verfasst von
Stefan Störk
Renate Handrock
Josephine Jacob
Jochen Walker
Frederico Calado
Raquel Lahoz
Stephan Hupfer
Sven Klebs
Publikationsdatum
26.07.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Research in Cardiology / Ausgabe 11/2017
Print ISSN: 1861-0684
Elektronische ISSN: 1861-0692
DOI
https://doi.org/10.1007/s00392-017-1137-7

Weitere Artikel der Ausgabe 11/2017

Clinical Research in Cardiology 11/2017 Zur Ausgabe

Update Kardiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.