Article Text


A structured exercise programme during haemodialysis for patients with chronic kidney disease: clinical benefit and long-term adherence
  1. Kirsten Anding1,2,
  2. Thomas Bär1,
  3. Joanna Trojniak-Hennig1,
  4. Simone Kuchinke1,
  5. Rolfdieter Krause2,
  6. Jan M Rost3,4,
  7. Martin Halle5,6,7
  1. 1KfH Kidney Center, Bischofswerda, Germany
  2. 2ReNi-German Society of Sports Rehabilitation in CKD, Berlin, Germany
  3. 3Max Planck-Institute for the Physics of Complex Systems, Dresden, Germany
  4. 4PULSE Institute, Stanford University, Palo Alto, USA
  5. 5Department of Prevention, Rehabilitation and Sports Medicine, Klinikum rechts der, Isar, Technische Universität München, Munich, Germany
  6. 6Partner site Munich Heart Alliance, DZHK (German Center for Cardiovascular Research), Munich, Germany
  7. 7Else-Kröner-Fresenius-Zentrum, Munich, Germany
  1. Correspondence to Dr Kirsten Anding; kirsten.anding-rost{at}


Objective Long-term studies regarding the effect of a structured physical exercise programme (SPEP) during haemodialysis (HD) assessing compliance and clinical benefit are scarce.

Study design A single-centre clinical trial, non-randomised, investigating 46 patients with HD (63.2±16.3 years, male/female 24/22, dialysis vintage 4.4 years) performing an SPEP over 5 years. The SPEP (twice/week for 60 min during haemodialysis) consisted of a combined resistance (8 muscle groups) and endurance (supine bicycle ergometry) training. Exercise intensity was continuously adjusted to improvements of performance testing. Changes in endurance and resistance capacity, physical functioning and quality of life (QoL) were analysed over 1 year in addition to long-term adherence and economics of the programme over 5 years. Average power per training session, maximal strength tests (maximal exercise repetitions/min), three performance-based tests for physical function, SF36 for QoL were assessed in the beginning and every 6 months thereafter.

Results 78% of the patients completed the programme after 1 year and 43% after 5 years. Participants were divided—according to adherence to the programme—into three groups: (1) high adherence group (HA, >80% of 104 training sessions within 12 months), (2) moderate adherence (MA, 60–80%), and 3. Low adherence group (LA, <60%)) with HA and MA evaluated quantitatively. One-year follow-up data revealed significant (p<0.05) improvement for both groups in all measured parameters: exercise capacity (HA: 55%, MA: 45%), strength (HA: >120%, MA: 40–50%), QoL in three scores of SF36 subscales and physical function in the three tests taken between 11% and 31%. Moreover, a quantitative correlation analysis revealed a close association (r=0.8) between large improvement of endurance capacity and weak physical condition (HA).

Conclusions The exercise programme described improves physical function significantly and can be integrated into a HD routine with a high long-term adherence.

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Strengths and limitations of this study

  • This study shows for the first time that a structured, individual combined cardiovascular and resistance exercise programme during dialysis, suitable also for older and frail patients, can be permanently integrated into the dialysis routine of a standard dialysis unit.

  • With patients’ adherence maintained at the 80% level, the improvement of strength and endurance as well as quality of life over 1 year was significant and largest in very weak patients.

  • With declining health status and sample size reduction due to death or transplantation, the size of the cohort was too small for quantitative analysis after 5 years.

  • Owing to its study design with patient motivation being a key element, this single centre study did not allow for randomisation and a control group.


Patients with end stage renal disease (ESRD) are characterised by low levels of physical activity and a continuous decline in physical function. Observational studies1–3 have revealed that physical inactivity is associated with increased mortality in these patients. Patients have a substantial and sustained decline in functional status, especially during the period before and after initiation of dialysis, in addition to a dramatically high mortality.4

Among the many reasons for low levels of physical activity in ESRD, three factors contribute most: (1) Reduced muscle strength caused by muscle catabolism and wasting,5–7 (2) a substantially increased cardiovascular risk in combination with a high prevalence of comorbid disorders,8 both leading to a reduced health related quality of life (QoL),9 ,10 which is in itself part of a vicious cycle further impairing physical activity with subsequently (3) reduced physical fitness.

All these factors can be improved by exercise training: Aerobic endurance exercise training in patients with ESRD has been shown to improve physical functioning and QoL,11–21 data which have been previously reviewed.22–24 Also, resistance training has been proven to increase muscle strength and physical functioning in these patients.22 ,25–27 Moreover, exercise training improves cardiovascular risk factors such as blood pressure28 ,29 and lipid profiles30 as well as dialysis efficacy.31–33

Despite these proven benefits, a structured physical exercise programme (SPEP) for patients with dialysis is rarely performed on a routine basis. Even more scarce is regular exercise training during haemodialysis. This is surprising, as this approach offers a supervised setting for the patients, is time sparing as patients will not have to attend additional exercise sessions and even improves dialysis efficacy.

Therefore, empirical data on short-term and long-term follow-up including adherence and clinical benefit are mandatory to implement this approach in routine clinical practice.34–36 In our present study, we could demonstrate that this approach is indeed feasible and can be implemented in the daily dialysis routine. This, together with the quantitative evaluation of all data taken over the first year, constitutes the primary outcomes of the study, while the detailed adherence data after 5 years form the secondary outcome, allowing for an informed estimate for the boundary conditions of a future 5-year quantitative study (see online supplementary material).

Participants and methods


Participants for the study were recruited from an outpatient haemodialysis unit (KfH, Bischofswerda, Germany), where they had been on maintenance haemodialysis for at least 3 months when starting the study. Patients were dialysed three times a week for 4–5 h and had to be in a stable medical condition (see table 1 for patient characteristics). Patients suffering from symptomatic ischaemic heart disease, orthopaedic or musculoskeletal problems interfering with exercise training were excluded. Forty six patients (61% of all 72 patients in the unit at the beginning of the study, 24 male) were included.

Table 1

Patient characteristics

Study design

The programme of combined endurance and resistance training (30 min each per training session, design is shown in figure 1) started after a 5 min warm-up and was performed twice a week during the first 2 h of dialysis under the direct supervision of an experienced exercise specialist. Regular maximal exercise tests provided new individual baseline parameters for the next training interval, namely maximal training heart and repetition rate for endurance and resistance, respectively.

Figure 1

Scheme for our individual structured training to improve endurance and strength in patients with dialysis including a feedback loop. (A) The eight exercises refer to the muscle groups biceps, triceps, abductor, adductor, abdomen, back, leg extensor and leg curl. Theraband resistance and weights were increased in relation to the patient's training success; for details, see text. (B) The training was performed with letto2 Reck MOTOmed cycle ergometers which record automatically the exercise data; see text.

Endurance training

Endurance training was performed with bed-cycle ergometers (MOTOmed letto2, Reck MOTOmed, Germany) positioned in front of the patients’ chairs. Average power, total work and distance cycled, as well as the duration of each training session, were stored on a personalised memory card.

All patients were connected to a heart rate monitor with continuous registration during exercise. Each patient's target heart rate was calculated by Karvonen's method37 from maximal exercise stress testing before inclusion in the study and stored on the memory card. The target heart rate was derived (see figure 1) from the maximum heart rate determined during the maximum exercise test: participants underwent maximal incremental exercise on a non-dialysis day using standard methodology by cycling ≥50 rpm on an electrically braked ergometer (Ergo bike therapie 2000 pc; Daum electronic, Germany) with a three-lead ECG and blood pressure monitoring. The test starts with a workload of 10 W, increasing by 10 W every 2 min. Participants continue until muscular fatigue, pathological ECG criteria or new clinical symptoms appear.

Resistance training

Eight muscle groups were trained with an individual target repetition rate (R) (see figure 1) of appropriate exercises in two sets of 1 min each with a 1 min break according to table 2. Biceps and triceps were trained with weights of 0.5, 1.0, 2.0 and 4.0 kg according to the patient’s strength. Similarly, for the abductor, elastic bands (theraband) with different resistances were used. Patients started with weights/therabands inducing a subjectively perceived intensity of ‘somewhat hard’. For illustration, two short training videos are available as online supplementary material.

Table 2

Strength improvement through resistance training

The target repetition rate was derived from the maximal repetition rate (MRR) in a maximum strength test for all eight muscle groups: Patients were asked to perform as many repetitions as possible in 1 min.

Since we observed a faster increase in the patients’ strength, in modification of the training programme according to figure 1, maximum strength tests for new baseline parameters and the corresponding training adaption were initiated after 3, 5, 7 and 9 months. If the MRR exceeded 50 rpm, a heavier weight or a more rigid theraband with more resistance was used for the biceps/triceps or abductor exercise.

Clinical tests of physical mobility and capacity

The improvement of physical function was assessed with three performance-based tests at baseline and subsequently every 6 months:

  1. The 6 min walking test measures walking distance as a rough measure of maximal exercise capacity and was performed according to the American Thoracic Society.38

  2. The timed up and go test is a short test which measures basic mobility skills.39

  3. The sit to stand test (STS60) measures functional lower extremity strength during 60 s.40

Quality of life

QoL was assessed with the SF-36 survey41 at baseline and after 6 and 12 months.

Motivation strategies

Patients were exercising together during dialysis and were permanently motivated by the trainer, medical staff and physicians. The individual development of exercise capacity and training data was discussed every 3 months with the patient as part of the treatment which also included the adaption of the prescribed exercise intensity.


Quantitative analysis over 1 year was performed for patients who completed more than 60% of the 104 target training sessions of the first year. They were divided into high adherence (HA) and moderate adherence (MA) adherence groups with more than 80% and 60–80% of the sessions completed, respectively. These groups were evaluated separately to investigate the effect of high and moderate compliance on physical functions.

The third group, the low adherence group (LA, <60% session participation), consisted of five members only, precluding follow-up evaluation due to very different comorbidities, for example, diabetes, peripheral artery disease, cardiovascular disease, chronic heart failure and leg amputation.

The effect of the resistance training was quantified by recording the repetitions RN of each exercise from the maximum exercise tests for each patient at the beginning of training and after 3, 5, 7, 9 and 12 months. The normalised data RN/R0 were compared statistically among patients to the initial value for N=0, which is by construction unity. Results including the respective p values (analysis of variance, ANOVA) are summarised for patient groups HA and MA in table 2.

The success of the endurance training was assessed according to the power achieved in each training session, which was averaged over 1 month to give 12 data points PN over a year for each patient. The normalised power data PN/P1 were compared statistically among patients to the initial value for N=1. Resulting curves including the p values (ANOVA) are given for groups HA and MA in figure 2.

Figure 2

Endurance built through training on the cycle ergometer according to the scheme of figure 1. The power PN achieved on average in month N is shown normalised to the power P1 in month N=1. Data are taken from groups HA (>80% training participation) and MA (60–80% training participation) for parts (A) and (B), respectively. The standard error is given for each data point as well as the significance p(ANOVA) of PN/P1 being different from the initial value 1 at N=1 with the scale on the right side. After month 3, roughly the maximum average increase is reached (55% and 45% in groups HA and MA, respectively). This corresponds to an average power of <P3>=22.1±2.0 W in group HA (<P3>=19.4±3.2 W in group MA) increased from an initial average power of <P1>=17.5±1.8 W and <P1>=16.0±3.0 W in groups HA and MA, respectively. ANOVA, analysis of variance; HA, high adherence; MA moderate adherence.

Additional analysis aimed at revealing a possible correlation between the change of power from 1 month to the next one, ΔP/Δt, and the power P itself. In a typical saturation behaviour for the power, characterised by a logistic equation, ΔP/Δt is given by ΔP/Δt=α P(P−P), where α (in units of inverse Megajoule, MJ−1) characterises the patient's relative improvement in power for work done, while P specifies the maximally reachable power. The relative change Y(P)=P−1⋅ΔP/Δt fits a linear regression curve (with different slope −α) for each patient (figure 3). The (linear) correlation of the slopes with the average patients’ power <P> is demonstrated in figure 4.

Figure 3

The relative rate of change in power Y(P)=P−1⋅dP/dt in two successive months as a function of the power P itself. Shown are the data of four patients (group HA, >80% training participation) with a mean power of <P> <15 W and four patients (group HA) with <P> >25 W with individual linear regression fits. HA, high adherence.

Figure 4

Correlation of the relative power improvement per work done, α (MJ−1), work measured in Megajoule (determined from the negative slopes of the linear regression fits as in figure 3), and the mean power <P> for each patient from group HA. HA, high adherence.

The QoL and physical performance tests were quantified with paired t test statistics.


Quantitative evaluation

Strength parameters improved linearly in patients with a high compliance rate (group HA) over the exercise period at monthly rates from 3 to 10% for all eight muscle groups. The final results are listed in table 2. All improvements were highly significant (p<0.05).

However, the strength improved considerably less in patients with a lower compliance (group MA) whose average exercise volume was about 20% less as compared to group HA (see table 3). A significant increase (p<0.05) in repetitions in the maximum strengths tests was only achieved towards the end of the study after 12 months and only for some of the muscle groups, namely for the leg extensor, adductor, abdomen and abductor (see table 2).

Table 3

Patient exercise training participation

Endurance exercise capacity measured in cycling power improved for groups HA and MA in parallel (figure 2). The maximal relative improvement was achieved after 3 months and amounts to a similar increase of 55% and 45% for groups HA and MA, respectively. Correspondingly, the average power achieved in groups HA and MA differs neither at the beginning of the training ((<P1>=17.5±1.8 W vs <P1>=16.0±3.0 W) nor after 3 months (<P3>=22.1±2.0 W vs <P3>=19.4±3.2 W). Between 3 and 12 months, the endurance capacity remained the same within statistical fluctuations, although with a slight trend to decrease as expected physiologically.

Figure 3 shows the relative change of power from 1 month to the next for patients from group HA, Y(P)=P−1⋅dP/dt, plotted against the power itself. Patients with a high mean power have lower slopes dY/dP (curves in the right part of the figure) than patients with a low mean power. In figure 4, we substantiate this observation by plotting the negative slopes α from the linear regression fits in figure 3 against each patient's mean power <P> over the 12-month period of quantitative evaluation. A clear correlation of (α,<P>) emerges with a correlation coefficient of r=0.80 for the linear regression shown in figure 4. The correlation implies that the improvement is higher in patients with a low baseline physical working capacity, a physiological phenomenon known from other conditions in healthy as well as diseased individuals. As we see here, it also holds for patients suffering from ESRD.

With the significant improvement of endurance and resistance measures, the physical function measured with three clinical tests of physical mobility improved significantly between 11% and 31%, see table 4. QoL parameters improved significantly in 4 (3) subscales of SF36 after 6 (12) months (see table 5).

Table 4

Clinical tests of physical mobility

Table 5

Quality of life

Finally, we briefly comment on the five patients from the LA group (<60% adherence). These patients missed out on large parts of the training due to different reasons (see CONSORT statement in the online supplementary material) and the scarce data taken show that the spread of the mean power achieved in endurance training varies by a factor of 8 between the five patients. Most importantly, none of the LA group members showed a significant improvement over the 12 months, either in endurance or in resistance training. After year 5, two of these patients were forced dropouts (one died and the other moved). The fact that the residual three patients were still exercising in year 5 (2 in the HA group and 1 in the MA group, see caption table 3) is an indication—statistically not provable—of training benefit even for initially LA patients.

Costs for training

In a dialysis shift with exercise training, professional exercise supervision is needed for 2 h corresponding to a 0.1 (0.14) full time equivalent for training twice (three times) a week. In each shift, a maximum of three exercising patients can share a bike. Executed in this way, each training session costs approximately €8/patient, which includes financing and maintenance of the bikes.


Thirty six patients were still exercising after 1 year and 20 patients after 5 years. Patients’ SPEP participation as well as average training intensity is shown in table 3. Only 10 of the 20 patients completing 5 years of training remained in stable clinical conditions during the whole study period. The other 10 patients had major medical problems, namely myocardial infarction (2 patients), serious infections (5 patients) or major operations (3 patients). The 20 patients still participating in the programme after 5 years were 68±13.9 years old compared to the average of 63.2±16.3 years for all 46 patients at the beginning of the study. This implies that there is no bias in the age distribution of the 26 patients which terminated the SPEP. Among them were 21 forced dropouts (13 patients died and 5 were transplanted) leaving 8 (17%) unforced dropouts over 5 years, yielding an adherence rate of over 80%.


Principal findings and comparison with other studies

Our individually tailored and supervised SPEP during haemodialysis led to a striking and statistically highly significant improvement in strength and endurance in the participating patients over 1 year. This was accompanied by an improved QoL assessed by the SF36 questionnaire (in the subscales of physical functioning, role of physical/emotional limitations).

The unforced dropout rate of 11% in the first year (the other 11% dropout patients died) was substantially lower compared to previous studies, for example, by DePaul et al17 with 50% dropouts after 5 months, by Mercer et al16 with 52% dropouts after 3 months, and by Miller et al28 with 60% dropouts after 6 months. We attribute this to our combined endurance and resistance training scheme during haemodialysis with moderate intensity in combination with a number of organisational measures to enhance the motivation for training. The quantitative improvement of strength in our patients is comparable to results reported in other studies. van Vilsteren et al14 demonstrated an improvement of the lower extremities in functional tests after 3 months with combined endurance/resistance training. Likewise, Oh-Park et al15 found an improved one repetition maximum of knee extension, and Johansen et al25 described an increased muscular strength of the quadriceps muscles. In the study by Headley et al,27 a 12-week resistance exercise training revealed a relatively small increase of strength in the leg extensors (+12.7%), and Castaneda et al26 showed an improvement of average strength by 32% (one repetition maximum, different muscles) over 12 weeks compared to a decline of 13% in the control group who did not exercise.

It has to be emphasised that our patients trained eight muscle groups continuously while in most other studies either the muscles were not specified explicitly or only a single group was trained. Interestingly, the improvements observed in our study are rather different between endurance and strength: For strength, the improvement is directly related to the amount of training which becomes obvious from table 2 when comparing results for HA group and the MA group MA. This conclusion is underlined by the finding that the leg extensor is the only exercise of the MA group showing a similar significant improvement over the year as for the HA group, which can be attributed to the fact that the leg extensor is simultaneously trained in the endurance training protocol during cycling.

The endurance improvement, on the other hand, showed no statistically significant difference between the groups (figure 2). Therefore, it may be concluded that endurance training twice a week with more than 60% participation over a year is sufficient to achieve the improvement documented. The endurance results also underline that the two groups HA and MA do not differ in their mean physical condition as both groups had a comparable mean age and number of comorbidities (see table 1).

The slight (statistically non-significant) decline after the maximum at month 3 (figure 2) has several reasons: For group HA, the key factor is motivation: it is hard to keep up over many months, in particular since the training success basically stalls after the third month. This is also corroborated by the result of the SF36 questionnaire, which reveals a slight decrease in the QoL in the second half of the year (in the subscales role of physical/emotional limitations, see table 5). Group MA shows along with a slight decline increasing spreading of the average power towards the end of the study year, indicated by the SE in figure 2B. Here, medical factors, unrelated to the training, often play a role and lead to an unsteady evolution of the power data in time. Therefore, the power P12 achieved after month 12 in group MA does not differ significantly from P1 at the beginning of the training, despite the fact that the average level of power has been almost constant from P3 to P12.

In comparison, Storer et al42 trained 12 patients over 10 weeks and increased the workload from 19±9 W to 29±25 W at the end of their study. However, only 66% of the patients completed this ambitious programme. With a mean age of 44 years, they were about 20 years younger than our patients and were training three times a week. While the absolute increase in power at which our patients cycled at the end of the study was much lower (20.8±2.6 W), the relative increase by 50% was basically the same. In a number of studies, the change in VO2peak is measured to assess the success of endurance training. Although the relation to improvement in physical performance or QoL is not yet firmly established,43 the VO2peak increased similarly with endurance exercise as the power, namely by 36% in 1 year,44 22% in 10 weeks42 and 23% in 6 months.21

Finally, the correlation between the baseline physical condition and the effect of endurance training is an important finding. In reference45 it was concluded from SF-36 answers in connection with physical function tests that patients with low physical function show a larger improvement by endurance training than those with higher physical function. Complementarily, but along the same lines, DePaul et al17 concluded that patients with high physical function show a dichotomic behaviour, with no significant improvement in their health status, but improved physical impairment measures. Our analysis of α (M/J), the relative improvement of power per work done, shows a clear anticorrelation with each patient's mean power <P> over the entire study time of 12 months in figure 4. Indeed, this implies that physically weak patients (low <P>) have a higher improvement rate (larger α) than stronger patients, a finding also known from intervention trials in healthy individuals.

We regard it as a tremendous success that after 5 years still about half of the patients participated in the SPEP with only 17% unforced dropouts (table 3). To the best of our knowledge, there is only one published study on long-time adherence over 4 years of intradialytic training44 with initially 24 patients who were on average 53 years old. The low number of forced dropouts (only one patient died in 4 years), together with the relatively low average age, points to a pre-selection of patients rendering the comparison to our study difficult. Interpreting the remaining four dropouts as unforced and therefore relevant to determine the adherence, their percentage of 17% is also comparable to our unforced dropout rate (over a 20% longer time span, namely 5 years) of 17% (see table 3).

Limitations of study and future research

The study was non-randomised so that comparison for non-exercising patients with haemodialysis cannot be drawn. Although data on the long-term effect of SPEPs are crucial, it is difficult to assess this long impact quantitatively due to the changing and in general declining health status of the patients with time. As a consequence, participating patients’ training habits significantly vary over 5 years, reflected in their changing assignments to the different groups (table 3). This is also the main reason why we have presented a quantitative evaluation in this single-centre study only over 1 year. Future study designs could differentiate the patients according to one group with a stable physical condition during the study and the rest of the participating patients. On the basis of our results, we estimate that for a quantitative study evaluating N patients over 5 years, one needs an initial collective of Ntot=14.4 N patients, where the factor 14.4 results from various losses. With Ntot corresponding to 100%, voluntary participation gives a reduction to 64%, and deathi and other dropout reasons a further reduction by 78.3%. Finally, sufficient clinical stability to allow for quantitative training data over the entire 5 years was only given in 50% of the remaining patients. From our results, we predict that N=30 is sufficient with a suitable study design (slightly modified in comparison with the present one). This brings Ntot to 432, which appears to be feasible for a multicentre study. Details of the estimate can be found in the online supplementary material.

The ultimate criterion for the effect of SPEPs is a reduced mortality rate, which can be reliably determined over a long time span only in a much larger patient collective including a control group. This design should be realised in a multicentre study for which the present work has laid the foundation and has established a feasible and safe intervention programme.


In conclusion, we have developed and tested a combined cardiovascular and resistance personalised exercise programme, which can be integrated into normal dialysis care. Patients’ strength and endurance as well as QoL improved significantly over a 1-year period and adherence was close to 80% after 5 years, correcting for the forced dropouts related to transplantation or death. To the best of our knowledge, this is the first time that an SPEP was successfully performed over half a decade. Exercise training for patients with dialysis should be seen as a main strategy aside from pharmacological therapy and dialysis. It has to be titrated similarly as the dose of medication. For any medication or intervention to be effective, the patient's adherence is crucial. In addition, for widespread application, it must be recognised by the health insurance system. Our SPEP as described here fulfils these four criteria: Each patient receives a personally adapted training programme including the mode and dose. The adherence is boosted by collective training and a stimulating environment created in the dialysis unit. Last but not least, the improvement of QoL of the patients contributes to the motivation for continued or even intensified exercise training. Support of this exercise training by a German health insurance company with €8/patient/training session covers the direct costs and also contributes to the patients’ motivation.


The authors thank all patients for their long-term participation in the study and the dialysis team of the Nierenzentrum Bischofswerda for their continuous support, which was crucial for finalising this study. This study has been accepted as an oral presentation at the 52nd ERA-EDTA Congress, held by the European Renal Association in partnership with the UK- Renal Association London May 28–31, 2015.


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  • Contributors KA initiated the study, whereas KA and MH designed the study. TB and JT-H were responsible for the roll-out of the exercise programme in the dialysis unit. TB, JT-H and SK performed the constant acquisition of patient data (personal data and training data). JMR performed the analysis of patient data. KA, JMR and MH drafted the manuscript, whereas RK revised it critically. All authors made critical comments, suggestions and revisions to earlier drafts. All authors interpreted the results and approved the final version of the paper. KA is the guarantor.

  • Funding This study was funded by the “Curatorium for dialysis and renal transplantation” (KfH, non-profit dialysis provider) for the first 3 years, since January 2013 the expenses of training have been taken over by a German health insurance company (AOKPlus Krankenkasse: At the beginning of the study cycle, ergometers were supplied by Reck MOTOmed (RECK-Technik GmbH & Co. KG, Betzenweiler, Germany). The KfH, the AOKPlus and Reck MOTOmed did not have any role in the study concept, design, data analysis or writing of the manuscript.

  • Competing interests None declared.

  • Patient consent Obtained.

  • Ethics approval The study was approved by the Ethics Committee at the Saxony Physician Chamber (Sächsische Landesärztekammer) Dresden, Germany (protocol # EK-BR-45/08-1). All participants gave informed consent before starting the study.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.

  • i Since the mortality rate among our participating patients was unusually low, we use here the average between our rate and the published rate from DOPPSdata, see Supplementary Material.

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