Prevalence of cardiovascular risk factors and diseases in patients with multiple myeloma undergoing autologous peripheral blood stem cell transplantation
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Deborah Backs1,2,3, Ilknur Saglam1,2, Claudia Löffler4, Sandra Ihne4, Caroline Morbach1,2, Susanne Brenner1,2, Christiane Angermann1, Georg Ertl1, Stefan Frantz1,2, Stefan Störk1,2, Stefan Knop4 and Gülmisal Güder1,2
1 Comprehensive Heart Failure Center Würzburg, University of Würzburg, Würzburg, Germany
2 Department of Internal Medicine I, Division of Cardiology, University Hospital of Würzburg, Würzburg, Germany
3 Department of Medicine II, Division of Cardiology, University Hospital of Schleswig-Holstein, Lübeck, Germany
4 Department of Internal Medicine II, Division of Hematology, University Hospital of Würzburg, Würzburg, Germany
Keywords: cardiovascular risk factors; cardiovascular diseases; multiple myeloma; arterial hypertension; echocardiography
Received: February 18, 2019 Accepted: April 03, 2019 Published: May 07, 2019
Multiple myeloma (MM) is the second most common hematologic malignancy and occurs similar to cardiovascular diseases (CVD), in the sixth/seventh decade. The aim of this retrospective cohort study was to evaluate the prevalence and prognostic value of cardiovascular risk factors (CVRF) and CVD in 325 patients with MM undergoing autologous peripheral blood stem cell transplantation (PBSCT) at the University Hospital of Würzburg between 03/2004 and 12/2011. Mean age in the total cohort was 61 years. Among CVRF, prevalence of arterial hypertension was highest (59.7%), followed by overweight (54.2%) and positive smoking history (18.2%). The prevalence of heart failure (3.1%) or coronary heart disease (4.8%) was low. During a median follow-up of 36 months, 18% of the patients died. Hypertension (HR = 1.83, p = 0.048) as well as positive smoking history (HR = 2.13, p = 0.02) were independently associated with increased mortality risk in multivariate analysis. In a subgroup analysis of 100 patients echocardiographic parameters were compared before and after PBSCT. Echocardiography revealed a significant reduction of left atrial diameters (–1.5 mm, p = 0.009) and septum thickness (–1.0 mm, p = 0.001), non-significant reduction of systolic function, and an increase of the prevalence of diastolic dysfunction (+14%; p = 0.01). In this study CVRF, especially hypertension and smoking, are strong predictors of poor survival in patients with MM undergoing autologous PBSCT. Echocardiography before and after treatment shows subtle changes in systolic function but an increase of the prevalence of diastolic dysfunction.
In Europe, cardiovascular diseases (CVD) are with 50% the most common causes of death, followed by malignant tumors in 20% of the cases . General cardiovascular risk factors (CVRF) for CVD include arterial hypertension, obesity, nicotine abuse, diabetes mellitus and lipid metabolism disorders thus, optimization of those modifiable CVRF may impact on overall prognosis in the general population .
Associations are less clear in patients with malignant diseases. With an incidence of 86.000 cases in one year , multiple myeloma is currently the second most common hemato-oncological disease worldwide. Despite of a wide range of therapeutic options including high-dose chemotherapy and autologous peripheral blood stem cell transplantation (PBSCT), the disease is still incurable . At the time of the initial diagnosis of multiple myeloma, patients are on average 69 years old . Statistically, the prevalence of CVRF and CVD is also increasing at the 6th and 7th decade of life. At the age of > 55–65 years, arterial hypertension, the most common CVRF, has a prevalence of > 50–70% in the general population .
Surprisingly, the prevalence of CVRF in patients with multiple myeloma was so far reported much lower than epidemiological estimations may expect. In the cohort from which the “Freiburg Comorbidity Index” was derived [N = 127, median age 60 years], the overall prevalence of arterial hypertension was 16%. More importantly, occurrence of arterial hypertension or other CVRF/CVD was prognostically not relevant .
As multiple myeloma may not preclude CVRF, preselection bias might have confounded true associations and underestimated the relevance of CVRF and CVD .
Further, in recent years progress in cancer therapy has increased life expectancy despite of the use of potentially cardiotoxic substances [8, 9]. In view of the upcoming demographic changes an increase in cardiovascular morbidity and mortality may be expected that may pose greater problems, if they are not taken into account. The prediction of possible cardiovascular complications remains challenging .
In the current study we investigate the prevalence and prognostic value of CVRF and CVD in 325 unselected patients with multiple myeloma undergoing autologous PBSCT. In a subgroup of patients serial echocardiography was performed to assess cardiac status before and after treatment.
Taking age into account as the most relevant predictor of cardiovascular diseases, the cohort was divided in two groups (≤ versus > 60 years). All patients received autologous PBSCT at the University Hospital Würzburg between 03/2004 and 12/2011. The median follow-up was 36 months (quartiles: 21; 52 months).
Mean age in the total cohort was 61 years and 60.9% were male. Based on the classification of Salmon and Durie, 83.7% of patients were in stage II/III with signs of high disease activity (Table 1).
Table 1: Characterization of the cohort
|Total cohort||≤ 60 years||> 60 years||p-value|
|N = 325||N = 142||N = 183|
|age, years||61 (55;67)||54 (47;57)||67 (63;69)||< 0.001|
|masculine sex, N (%)||198(60.9)||83 (58.5)||115 (62.8)||0.43|
|Multiple myeloma stages & treatment|
|Salmon & Durie stages|
|1, N [%]||51 (15.7)||24 (16.9)||27 (14.8)||0.64|
|2, N [%]||64 (19.7)||22 (15.5)||42 (23.0)||0.12|
|3, N [%]||208 (64.0)||94 (66.2)||114 (62.3)||0.49|
|stage B1, N (%)||67 (20.6)||29 (20.4)||38 (20.8)||1.00|
|bortezomib-based induction, N (%)||17 (5.2)||9 (6.3)||8 (4.4)||0.46|
|IMiD-based induction2, N (%)||10 (3.1)||8 (5.6)||2 (1.1)||0.02|
|Non novel agent-based, N (%)||298 (91.7)||125 (88.0)||173 (94.5)||0.04|
|peripheral edema, N (%)||36 (11.1)||13 (9.2)||23 (12.6)||0.38|
|rest dyspnea, N (%)||3 (0.9)||1 (0.7)||2 (1.1)||1.00|
|Cardiovascular risk factors|
|Arterial hypertension3, N (%)||190 (59.7)||60 (43.2)||130 (72.6)||<0.001|
|defined by medical recordings, N (%)||159 (48.9)||50 (35.2)||109 (59.6)||<0.001|
|by antihypertensive therapy, N (%)||150 (46.2)||43 (30.3)||107 (58.5)||<0.001|
|blood pressure before induction > 140/90 mmHg, N (%)||101 (31.8)||25 (18.0)||76 (42.5)||<0.001|
|BMI4 > 25kg/m², N (%)||175 (54.2)||71 (50.4)||104 (57.1)||0.26|
|BMI4 > 30kg/m², N (%)||48 (14.9)||24 (17.0)||24 (13.2)||0.34|
|positive smoking history, N (%)||59 (18.2)||26 (18.3)||33 (18.0)||1.00|
|diabetes mellitus, N (%)||29 (9.2)||6 (4.3)||23 (13.0)||0.01|
|hyperlipidemia, N (%)||52 (16.3)||20 (14.4)||32 (17.8)||0.26|
|positive family history5N (%)||1 (0.3)||1 (0.7)||0 (0.0)||0.44|
|heart failure, N (%)||10 (3.1)||0 (0.0)||10 (5.5)||0.003|
|coronary artery disease, N (%)||15 (4.8)||4 (2.9)||11 (6.3)||0.19|
|peripheral artery occlusive disease, N (%)||3 (1.0)||0 (0.0)||3 (1.7)||0.26|
|pulmonary diseases6||18 (5.7)||4 (2.9)||14 (7.9)||0.09|
|renal insufficiency7, N (%)||81 (25.2)||29 (20.7)||52 (28.7)||0.12|
|anemia8, N (%)||234 (72.0)||94 (66.2)||140 (76.5)||0.05|
Cardiovascular risk factors and cardiovascular diseases
In 70.5% the patients had at least one CVRF, the prevalence was significantly higher in the group of > 60-year-olds (80.9% vs. 57.0 % compared to the group ≤ 60 years, p < 0.001). Among CVRF, prevalence of arterial hypertension was most common with 59.7%, followed by overweight (54.2%) and positive smoking history (18.2%). Hyperlipidemia and positive family anamnesis were less common (all Table 1).
The prevalence of cardiovascular diseases was rather low, the most common cardiac disease before treatment was coronary artery disease (4.8%), followed by heart failure (3.1%) and peripheral artery occlusive disease (1%; all Table 1).
Medication for arterial hypertension before induction
In total, 150 of patients received antihypertensive treatment at admission. Less than half of them (46%; N = 69/150) were sufficiently controlled (blood pressure ≤ 140/90 mmHg; Figure 1). Further only 75% (N = 119/159) of patients with reported arterial hypertension received therapy. Angiotensin-converting-inhibitors and angiotensin-antagonists were the most commonly used compounds with 27.1%, followed by beta-blockers (21.8%) and calcium-antagonists (15.4%). Mineralocorticoid receptor blockers were found in only 2.1% of patients.
Figure 1: Prevalence of arterial hypertension. Diagnosis of arterial hypertension: in case of anamnestic presence of the diagnosis arterial hypertension in the doctor’s letters, administration of antihypertensive medication or hypertensive blood values prior to induction (min. 2 of 3 measured values >140 mmhg systolic/an or >90 mmHg).
Medication for other cardiovascular diseases before induction
Antidiabetic therapy was prescribed in 62.1% of patients with diabetes (N = 18/29). Hyperlipidemia was present in 16.3% of the cases and 63.5% (N = 33/52) of the patients received a guideline-oriented therapy with a statin.
Other concomitant disease
Renal insufficiency, defined according to KDOQI (Kidney Disease Outcomes Quality Initiative), was present in 25.2% of patients before induction therapy (median estimate GFR 89 ml/min/1.73 m). In 6.9% of the cases a stage 3 (defined as an estimate GFR < 30 ml/min/1.73 m) was present before induction (Table 1).
Prior induction, 72% were diagnosed with anemia (defined as hemoglobin (Hb) < 12 g/dl in women, < 13 g/dl in men). In the group of patients > 60 years median Hb of was 11.2 g/dl (Table 1).
Pulmonary diseases (such as chronic obstructive pulmonary disease, COPD, bronchial asthma and restrictive pulmonary diseases) were reported in 5.7% and were more frequently in the group of patients over 60 years (Table 1).
Analysis of survival
During a median follow-up time of 36 months (quartiles 21; 52), 18% (N = 59/325) of the patients died. In 50.2% (N = 30/59) of the cases, the cause of death was septic multiorgan failure; half of them caused by pneumonia (N = 16/30; 53.3%). In total, 8 patients (14%) died of a cardiovascular cause: 5.1% of chronic heart failure (N = 3/59), 3.4% suspect of cardiac amyloidosis (N = 2/59), 3.4% of malignant heart rhythm disturbances (N = 2/59) and 1.7% of stroke (N = 1/59); all of them suffered from arterial hypertension.
COX regression analysis
All variables listed in Table 1 were analyzed. In univariate Cox regression analysis dyspnea at rest, arterial hypertension, positive smoking history, peripheral artery occlusive disease, renal insufficiency and anemia were significant predictors of death (Table 2).
Table 2: Univariate Cox regression analysis of patient’s characteristics
|Hazard ratio||CI 95%||p-value|
|age, per year||1.00||0.97–1.03||0.79|
|masculine sex, yes vs no||1.25||0.74–2.10||0.41|
|Multiple myeloma stages and treatment|
|Salmon & Durie stages|
|stage B, yes vs no||2.37||1.38–4.07||0.002|
|bortezomib-based induction, yes vs no||0.99||0.31–3.20||0.99|
|IMiD-based induction, yes vs no||0.39||0.53–2.81||0.27|
|Non novel agent-based, yes vs no||1.42||0.51–3.92||0.50|
|peripheral edema, yes vs no||0.90||0.32–2.51||0.84|
|rest dyspnea, yes vs no||8.91||2.12–37.4||0.003|
|Cardiovascular risk factors|
|Body Mass Index> 30kg/m, yes vs no||1.19||0.51–2.78||0.69|
|Arterial hypertension1, yes vs no||1.93||1.11–3.36||0.02|
|diagnosis before induction||1.76||1.05–2.94||0.03|
|blood pressure > 140/90 mmHg before induction||1.25||0.73–2.14||0.43|
|smoking history, yes vs no||1.98||1.10–3.58||0.02|
|diabetes mellitus, yes vs no||0.88||0.32–2.44||0.80|
|hyperlipidemia, yes vs no||1.15||0.54–2.45||0.72|
|positive family history, yes vs no||7.00||0.96–51.2||0.06|
|heart failure, yes vs no||1.83||0.44–7.58||0.40|
|coronary artery disease, yes vs no||1.05||0.26–4.34||0.94|
|peripheral artery occlusive disease, yes vs no||12.63||2.92–54.5||0.001|
|pulmonary diseases, yes vs no||2.35||0.84–6.56||0.10|
|renal insufficiency, yes vs no||2.03||1.19–3.47||0.01|
|anemia, yes vs no||2.06||1.07–3.96||0.03|
Arterial hypertension (HR = 1.83, p = 0.048; Figure 2) as well as smoking history (HR = 2.13, p = 0.02) were independently associated with increased mortality risk in multivariate Cox regression analysis adjusted for significant (p ≤ 0.10) predictors of death in univariate analysis (Table 2 age and sex forced into the analysis).
Figure 2: Multivariate Cox regression analysis. Definitions as in Table 1. All significant predictors (p<0.05) from univariate Cox regression (Table 2) were included. Age and sex were forced into the model. To avoid multi-collinearity, the variable "Salmon and Durie stage B" (creatinine ≥ 2 mg/dl) but not renal insufficiency (glomerular filtration rate reduction < 60 ml/min/1.73m2) was included into the model.
Other independent predictors of death in the multivariate Cox regression analysis were renal insufficiency (HR = 2.28, p = 0.004) and peripheral arterial occlusive disease (HR = 10.4, p = 0.03; Table 3).
Table 3: Multivariate Cox regression analysis
|Hazard Ratio||CI 95%||p-value|
|age, per year||0.99||0.95–1.02||0.37|
|masculine sex, yes vs no||1.46||0.84–2.53||0.18|
|arterial hypertension1, yes vs no||1.83||1.01–3.31||0.048|
|smoking history, yes vs no||2.13||1.12–4.05||0.02|
|peripheral occlusive arterial disease, yes vs no||10.4||1.23–89.1||0.03|
|anemia, yes vs no||1.98||0.99–3.93||0.052|
|Salmon and Durie stage B2, yes vs no||2.28||1.30–4.00||0.004|
|dyspnea at rest, yes vs no||1.86||0.23–15.10||0.56|
Subgroup-analysis of patients with serial echocardiography
In a subgroup of 100 patients, serial echocardiography was available before and after induction therapy (Table 4). During a median follow-up time of 13 months (quartiles: 7; 27 months) a significant reduction of left atrial diameters (LADs: –1.5 mm, p = 0.009) and septum thickness (–1.0 mm, p = 0.001) was observed. There were no changes concerning left ventricular ejection fraction (LVEF; before/after therapy LVEF ≥ 55%, p = 0.24) but the prevalence of patients with diastolic dysfunction increased by 16.5% (69.4% before and 85.9% after treatment, p = 0.01). The E/A-ratio showed a significant decrease (p = 0.04). There was no evidence of higher-grade valvular heart disease.
Table 4: Serial echocardiography before and after induction
|N||before induction||N||after induction1||p-value|
|LADs (mm)||82||38.0 (34.8; 40.0)||82||36.5 (32.0; 40.0)||0.009|
|LVDs (mm)||50||28.0 (24.8; 32.0)||50||28.0 (25.0; 33.0)||0.41|
|LVDd (mm)||86||47.0 (42.5; 52.0)||86||46.0 (42.0; 51,0)||0.62|
|LVPWd (mm)||72||10,0 (9.0; 11.0)||72||10.0 (9.0; 11.0)||0.49|
|septum thickness (mm)||85||10.0 (9.0; 12.0)||85||9.00 (9.0; 11.0)||0.001|
|posterior wall (mm)||64||10.0 (9.0; 11.0)||64||10.0 (9.0; 11.0)||0.41|
|LVEF (%)||100||55 (55; 64)||100||55 (55; 60)||0.24|
|E/A-ratio||71||0.9 (0.8; 1.2)||71||0.8 (0.7; 1.0)||0.04|
|deceleration time (msec)||74||200 (171; 248)||74||213 (183; 269)||0.14|
|diastolic dysfunction N (%)||85||59 (69.4)||85||73 (85.9)||0.002|
COX regression of the subgroup analysis
In the subgroup of N = 100 patients with available echocardiography 14 patients died, thus multivariate analysis was not reliable in this subgroup.
In univariate Cox regression analysis, a significant survival benefit could only be demonstrated for LVEF (HR = 0.89, 95% CI (0.80–1.00) p = 0.05) but not for other echocardiographic parameters as diastolic function or cardiac diameters (data not shown).
In this retrospective study on 325 patients with symptomatic multiple myeloma undergoing autologous stem cell transplantation we could show that in the majority of patients at least one cardiovascular risk factor was present prior to the beginning of the treatment (71.1%, N = 231/325) in most cases arterial hypertension (N = 190, 59.7%). In addition, we could demonstrate, that the cardiovascular risk factors arterial hypertension (HR: 1.83, p = 0.048) and positive smoking history (HR: 2.13, p = 0.02) were associated with a nearly twofold higher risk of death in multivariate Cox regression analysis. Serial echocardiography showed, that diastolic but not systolic function worsened significantly over time, despite of a decrease of left atrial diameters and left ventricular septum thickness.
Risk scores in multiple myeloma and cardiovascular risk factors and diseases
Higher comorbidity burden predicts worse outcome and worse therapy tolerance . To guide personalized treatment strategies, risk models as the “Charlson Comorbidity Index” (CCI)  or the “Freiburg Comorbidity Index” (FCI) , were developed from forecast-relevant co-morbidities in multiple myeloma .
The 19 co-morbidities of the CCI include diabetes mellitus, cardiac insufficiency, and myocardial infarction as cardiovascular diseases; but not for instance hypertension or smoking history [12, 13]. The FCI considers only 3 determinants: physical capacity, renal insufficiency and lung diseases [7, 14]. Other comorbidities like cardiac diseases and hypertension were tested but showed no relevant mortality-association, neither in uni- nor in multivariate Cox regression analysis . The FCI was revised later, and age and frailty were included into the model (“revised Multiple Myeloma index”) . The prognostic value of cardiac diseases but not of hypertension was reevaluated in this study and again no association was seen .
In our study, heart failure and coronary artery disease were also not predictive.
Kim et al. compared the CCI and the FCI risk scores in a retrospective study of 127 patients aged 65 years and older with a primary diagnosis of multiple myeloma . The prevalence of CVD was—equal to the AmcorRetro study—rather low (coronary heart disease/myocardial infarction: 5.5% and chronic heart failure: 5.5%) .
The lack of prognostic impact of cardiac diseases might be also explained by the low numbers of affected individuals in our and the described cohorts [7, 13]. In a larger cohort of patients with multiple myeloma (N = 2190), co-incidence of heart failure (prevalence 5.9%) and a history for myocardial infarction (prevalence 5.4%) were both associated with an increased mortality risk .
Of note, Engelhardt et al., who studied a cohort of 801 patients with multiple myeloma, did not see a mortality association but described a prevalence of 45% for cardiac diseases . However, cardiac diseases (defined as arrhythmias, myocardial infarction/CAD, heart failure) were subsumed for analysis, thus direct comparison may not be feasible .
Differences in the definition of hypertension might also explain the discrepancies concerning the prevalence of hypertension and its predictive value in patients with multiple myeloma. In the study of Kleber et al., the prevalence of hypertension was 16% and thus more than three times lower than in our study (59.7%) despite of a similar age distribution (median age 60  vs. 61 years in our study). A definition for hypertension was not given .
According to a register by Piccirillo et al., arterial hypertension is the most common co-morbidity in patients with malignancies (hypertension prevalence 38%) .
The German “CARLA-Study” (Cardiovascular Disease, Living and Ageing in Halle), a prospective cohort study that included community-dwelling adults, observed a hypertension prevalence of 50–70% in the age group of 55–65 years . The German MONICA-Study, reported a similar prevalence of 60–70% in the age group of 65–74 years and a prevalence of 55–60% in the age group of 55–64 years in unselected subjects from the general population .
Considering that 56% of the patients in the present study were older than 60 years and that the incidence of arterial hypertension increases with age, the prevalence of arterial hypertension in our study corresponds exactly to the prevalence in the general population in Germany .
Of note, our data were derived from patients receiving PBSCT from 2004–2011. As life expectancy for patients with multiple myeloma increased under modern chemotherapy, and as age is one of the most important determinants of CVRF and cardiovascular diseases, the implications of accurate cardiovascular risk control may have become even more important in recent years .
Our results suggest that hypertension is a so far underestimated risk factor in patients with multiple myeloma, that needs to be acknowledged more accurately not only in clinical practice but also in future risk prediction models.
Cardiovascular risk factors and death
High blood pressure was recently identified as a risk factor for chemotherapy-induced cardiotoxicity . In our study coincidence of arterial hypertension doubled mortality risk in patients with multiple myeloma.
Overall, 79.3% of patients with a previously reported diagnosis of arterial hypertension were treated with anti-hypertensive therapy (119/159). But less than half of them (71/159) were sufficiently controlled (Figure 1). Early antihypertensive medication and regular cardiological check-ups are recommended in patients after stem cell transplantation  but should also be acknowledged before therapy initiation .
In our study 18.2% of all patients had a positive smoking history. A positive smoking history doubled mortality risk in multivariate Cox regression analysis. The most common cause of death in these patients was in the context of pneumonia or pneumonic sepsis, which is consistent with findings from previous studies . Tobacco use is not only a cardiovascular but also a pulmonary risk factor and predictor of underlying lung disease [22–24]. Lung diseases and abnormalities in pulmonary function testing are among the most important determinants of death in patients with multiple myeloma [7, 15, 25]. Thus patients with a positive smoking history are at higher risk for both, adverse pulmonary as well as cardiovascular events.
Tran et al. demonstrated a correlation between the respiratory failure after (allogeneic) stem cell transplantation within 100 days of transplant and the number of smoked cigarettes (“packyears”) . The authors of the study called for further studies to track the late effects of tobacco use under therapy. They were also in favor of including smoking status before and after transplantation as a relevant predictive factor into general risk assessment scores.
In view of the general data and study results, it is assumed that smoking cessation may improve survival in patients with hemato-oncological diseases. The chemotherapy induced lung toxicity seen also in multiple myeloma , can add up to the risks of smoking, so that nicotine withdrawal is already recommended  and pulmonary function monitoring by some authors .
Serial echocardiography before and after autologous PBSCT revealed a significant reduction of left atrial diameters (LADs: –1.5 mm, p = 0.009) and septum thickness (–1.0 mm, p = 0.001). Higher values of LADs and septal thickness are two of many indicators of worse diastolic function and routinely seen in cardiac amyloidosis as well as in hypertension [29, 30]. While the observed reduction of LADs might be simply explained by an intended volume overload before chemotherapy-initiation, reduction of left ventricular septal diameters might be an actual therapy effect and reflect reduction of para-protein deposition or amelioration of blood pressure control. However, both explanatory approaches have to be seen as highly speculative and based on the rather small number of patients in the subgroup (N = 100) simple chance finding cannot be excluded.
Raina et al. demonstrated in his study, that LVEF of patients with multiple myeloma and cardiac amyloidosis could be improved after stem cell transplantation .
We found no changes in mean or median left ventricular ejection fraction (LVEF before/after therapy ≥ 55%, p = 0.24) but 3 patients newly developed left ventricular dysfunction defined as a LVEF of < 50% after therapy (data not shown). Further, LVEF was the only echocardiographic parameter found, with a significant predictive value in Cox regression. The prevalence of patients with diastolic dysfunction increased by 16.5% (p = 0.02) in our study. Karvandi et al., also demonstrated in 30 patients with different hemato-oncological diseases that induction therapy with subsequent stem cell transplantation can have a negative influence on diastolic function . However, in our study, presence of diastolic dysfunction was not predictive and therapy modalities for multiple myeloma have changed in the last decade. Thus clarification of the true prevalence and prognostic significance of a deteriorating diastolic function after chemotherapy is reserved for prospective studies with larger cohort sizes.
The limitation of our study resulted from the retrospective and thus partly non-standardized data collection. Further, missing values can lead to information gaps and thus to distortions of the results. The cohort examined included consecutive patients of a university center; thus already selected patients. Since there are only a few myeloma centers in Germany, and Würzburg is one of the larger centers, it can be assumed that the results can be transferred to the group of myeloma patients eligible for autologous PBSCT in general.
As data collection was between 2004 and 2011, and standard therapy for multiple myeloma changed thereafter, results from echocardiography analysis may not be generalizable to current multiple myeloma cohorts. Further, subgroup analysis was limited by a small number of documented follow-up echocardiographs. This was due to the lack of electronic echocardiography documentation in this period due to a system change. However, age, sex and mortality rate were rather similar between the total cohort and the subgroup (data not shown), thus results of echocardiography analysis still might be representative.
Materials and Methods
The AmcorRetro study is a retrospective observational study evaluating the prevalence of CVRF and other CVD with multiple myeloma necessitating autologous PBSCT.
In total 325 patients (age range 33 to 80 years) with the diagnosis of multiple myeloma, who had at least one autologous PBSCT in Würzburg during the years 2004 to 2011 were included. Multiple myeloma was defined according to the recommendations of the International Myeloma Working Group . The patients were identified using the Adult Stem Cell Transplantation Program of the University Hospital of Würzburg. The median follow-up was 36 months (quartiles 21; 52). All patients were followed by the outpatients department of our oncology center. If a patient died, a note including the most probable death cause was documented in the recordings. To evaluate the influence of CVRF and CVD, there was a subdivision into cardiovascular and non-cardiovascular causes of death. Survival status of the patients was assessed until 31 of December 2013.
Data were acquired retrospectively using the digitized patient files. Approval of the ethics committee was seeked and deemed as unnecessary due to the retrospective nature of the study design.
Data acquisition and case report forms
Based on the digitized patient records, the following patient characteristics were collected at the beginning of the initiation of induction therapy using standardized case report forms: anamnesis with clinical findings (with emphasis on signs of heart failure), CVRF and CVD including other concomitant diseases (Table 1), medication (with emphasis on the therapy of CVD and CVRF), further examinations (e.g. imaging diagnostics, laboratory parameters, ECG) and the subgroup analysis of echocardiography.
Arterial hypertension was diagnosed if arterial hypertension was reported in the doctor’s letter, in the presence of antihypertensive medication (angiotensin-converting-enzyme-inhibitors, angiotensin-receptor-antagonists, beta-blockers, mineralocorticoid receptor blocker and calcium-antagonists) or repeatedly measured elevated blood pressure values (at least 2 of 3 measured values > 140 mmHg systolic or > 90 mmHg diastolic) the day after hospital admission.
The statistical evaluation was performed using SPSS Statistics (version 23). The descriptive statistics included the use of position (mean, median, minimum, maximum) and scattering measures (standard deviation, 25th/75th percentile). Group comparisons were carried out for nominal and ordinal parameters using exact Fisher or Chi-square tests (for > 2 groups) and for metric parameters using Mann–Whitney U-tests. To identify prognostic determinants, a univariate Cox regression analysis was carried out. With the results of the univariate analysis (with p-value < 0.10) a multivariate analysis was carried out taking into account statistically significant parameters. A significant group difference was assumed for all test procedures at a (two-sided) p-value of < 0.05.
Subgroup analysis serial echocardiographic measurements
For the subgroup analysis all patients with at least two serial echocardiographic assessments (one before, one after induction therapy) were included (N = 100 patients).
Echocardiography was performed according to guidelines  and focused on the following measurements: left ventricular systolic function (LVEF), left atrial diameter measured at the end-systole (LADs), left ventricular end-diastolic diameter (LVDd), septal and posterior wall diameter, diastolic dysfunction (ratio E/A, E/E’, deceleration time), the presence of (indirect) signs of cardiac amyloidosis (pericardial effusion, granular sparkling) and valvular diseases. The LVEF was assessed either by the biplane-modified Simpson method or visually by eye balling in the apical four-chamber view in cases of poor ultrasound conditions.
Since not all diastolic functional parameters were included in the echocardiographic report as standard at the time of data collection, diastolic dysfunction was diagnosed if it was mentioned in the written echocardiography report (on the basis of the quantitative information provided by the investigator).
Due to the retrospective study design, the documentation of values was in some cases incomplete. Body weight was not documented in one patient, blood pressure measurements and smoking status were missing in 7, and oral antidiabetics in 11 patients. The numbers of missing echocardiographic parameters were shown in Table 4.
In summary, with a total of 325 patients, the AmcorRetro study is currently one of the largest studies investigating the prevalence and prognostic significance of cardiovascular risk factors and diseases of patients with multiple myeloma. The study demonstrated, that especially arterial hypertension and smoking are strong predictors of poor survival in patients with symptomatic multiple myeloma undergoing peripheral autologous stem cell transplantation. Serial echocardiography before and after treatment shows that autologous PBSCT impairs systolic function only slightly, but increases the prevalence of diastolic dysfunction—underlining the need for a strict cardiological monitoring during the course of therapy in multiple myeloma.
CCI: Charlson Comorbidity Index; CI 95%: 95% confidence interval; CVD: cardiovascular diseases; CVRF: cardiovascular risk factors; FCI: Freiburg Comorbidity Index; Hb: hemoglobin; LADs: left atrial diameter systolic; LVDd: left ventricular diameter diastolic; LVDs: left ventricular diameter systolic; LVEF: left ventricular ejection fraction; LVPWd: left ventricular posterior wall end-diastolic diameter; PBSCT: peripheral blood stem cell transplantation.
We thank the participating patients and our data managers Raphael Ludwig and Monika Hanke.
CONFLICTS OF INTEREST
Authors have no conflicts of interest to declare.
This work was supported by grants from the German Ministry of Education and Research (BMBF), Berlin, Germany [BMBF 01EO1004–Comprehensive Heart Failure Center Würzburg]. GG was supported by a fellowship grant from the Medical Faculty of the University of Würzburg (Habilitationsstipendium).
1. World Health Organization. Europe-Leading causes of death in Europe: fact sheet. (2012). http://www.euro.who.int/de/data-and-evidence/european-health-report/european-health-report-2012/fact-sheets/fact-sheet-leading-causes-of-death-in-europe.
2. World Health Organization. The top 10 causes of death. (2016). http://www.who.int/mediacentre/factsheets/fs310/en/.
4. Rajkumar SV, Gertz MA, Kyle RA, Greipp PR, and Mayo Clinic Myeloma, Amyloid, and Dysproteinemia Group. Current therapy for multiple myeloma. Mayo Clin Proc. 2002; 77:813–22. https://doi.org/10.4065/77.8.813. [PubMed].
6. Lacruz ME, Kluttig A, Hartwig S, Löer M, Tiller D, Greiser KH, Werdan K, Haerting J. Prevalence and Incidence of Hypertension in the General Adult Population: Results of the CARLA-Cohort Study. Medicine (Baltimore). 2015; 94:e952. https://doi.org/10.1097/MD.0000000000000952. [PubMed].
7. Kleber M, Ihorst G, Terhorst M, Koch B, Deschler B, Wäsch R, Engelhardt M. Comorbidity as a prognostic variable in multiple myeloma: comparative evaluation of common comorbidity scores and use of a novel MM-comorbidity score. Blood Cancer J. 2011; 1:e35. https://doi.org/10.1038/bcj.2011.34. [PubMed].
8. Pozzi S, Marcheselli L, Bari A, Liardo EV, Marcheselli R, Luminari S, Quaresima M, Cirilli C, Ferri P, Federico M, Sacchi S. Survival of multiple myeloma patients in the era of novel therapies confirms the improvement in patients younger than 75 years: a population-based analysis. Br J Haematol. 2013; 163:40–46. https://doi.org/10.1111/bjh.12465. [PubMed].
9. Bringhen S, Milan A, Ferri C, Wäsch R, Gay F, Larocca A, Salvini M, Terpos E, Goldschmidt H, Cavo M, Petrucci MT, Ludwig H, Auner HW, et al, and European Hematology Association, the European Myeloma Network and the Italian Society of Arterial Hypertension. Cardiovascular adverse events in modern myeloma therapy - Incidence and risks. A review from the European Myeloma Network (EMN) and Italian Society of Arterial Hypertension (SIIA). Haematologica. 2018; 103:1422–32. https://doi.org/10.3324/haematol.2018.191288. [PubMed].
10. Zamorano JL, Lancellotti P, Rodriguez Muñoz D, Aboyans V, Asteggiano R, Galderisi M, Habib G, Lenihan DJ, Lip GY, Lyon AR, Lopez Fernandez T, Mohty D, Piepoli MF, et al, and ESC Scientific Document Group. 2016 ESC Position Paper on cancer treatments and cardiovascular toxicity developed under the auspices of the ESC Committee for Practice Guidelines: the Task Force for cancer treatments and cardiovascular toxicity of the European Society of Cardiology (ESC). Eur Heart J. 2016; 37:2768–801. https://doi.org/10.1093/eurheartj/ehw211. [PubMed].
11. Gregersen H, Vangsted AJ, Abildgaard N, Andersen NF, Pedersen RS, Frølund UC, Helleberg C, Broch B, Pedersen PT, Gimsing P, Klausen TW. The impact of comorbidity on mortality in multiple myeloma: a Danish nationwide population-based study. Cancer Med. 2017; 6:1807–16. https://doi.org/10.1002/cam4.1128. [PubMed].
12. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40:373–83. https://doi.org/10.1016/0021-9681(87)90171-8. [PubMed].
13. Kim SM, Kim MJ, Jung HA, Kim K, Kim SJ, Jang JH, Kim WS, Jung CW. Comparison of the Freiburg and Charlson comorbidity indices in predicting overall survival in elderly patients with newly diagnosed multiple myeloma. Biomed Res Int. 2014; 2014:437852. https://doi.org/10.1155/2014/437852. [PubMed].
14. Kleber M, Ihorst G, Gross B, Koch B, Reinhardt H, Wäsch R, Engelhardt M. Validation of the Freiburg Comorbidity Index in 466 multiple myeloma patients and combination with the international staging system are highly predictive for outcome. Clin Lymphoma Myeloma Leuk. 2013; 13:541–51. https://doi.org/10.1016/j.clml.2013.03.013. [PubMed].
15. Engelhardt M, Domm AS, Dold SM, Ihorst G, Reinhardt H, Zober A, Hieke S, Baayen C, Müller SJ, Einsele H, Sonneveld P, Landgren O, Schumacher M, Wäsch R. A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients. Haematologica. 2017; 102:910–21. https://doi.org/10.3324/haematol.2016.162693. [PubMed].
16. Piccirillo JF, Tierney RM, Costas I, Grove L, Spitznagel EL
17. Hense HW, Study M, and MONICA Study. [Epidemiology of arterial hypertension and implications for its prevention. 10-yeart results of the MONICA Study Augsburg]. Dtsch Med Wochenschr. 2000; 125:1397–402. https://doi.org/10.1055/s-2000-8316. [PubMed].
18. Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A, Böhm M, Christiaens T, Cifkova R, De Backer G, Dominiczak A, Galderisi M, Grobbee DE, Jaarsma T, et al. 2013 ESH/ESC guidelines for the management of arterial hypertension: the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J. 2013; 34:2159–219. https://doi.org/10.1093/eurheartj/eht151. [PubMed].
19. Mouhayar E, Salahudeen A. Hypertension in cancer patients. Tex Heart Inst J. 2011; 38:263–65. [PubMed].
20. Hilgendorf I, Greinix H, Halter JP, Lawitschka A, Bertz H, Wolff D. Long-term follow-up after allogeneic stem cell transplantation. Dtsch Arztebl Int. 2015; 112:51–58. https://doi.org/10.3238/arztebl.2015.0051. [PubMed].
21. Bringhen S, Offidani M, Palmieri S, Pisani F, Rizzi R, Spada S, Evangelista A, Di Renzo N, Musto P, Marcatti M, Vallone R, Storti S, Bernardini A, et al. Early mortality in myeloma patients treated with first-generation novel agents thalidomide, lenalidomide, bortezomib at diagnosis: A pooled analysis. Crit Rev Oncol Hematol. 2018; 130:27–35. https://doi.org/10.1016/j.critrevonc.2018.07.003. [PubMed].
22. Iribarren C, Tekawa IS, Sidney S, Friedman GD. Effect of cigar smoking on the risk of cardiovascular disease, chronic obstructive pulmonary disease, and cancer in men. N Engl J Med. 1999; 340:1773–80. https://doi.org/10.1056/NEJM199906103402301. [PubMed].
23. World Health Organization. (2018). Cancer: key facts. http://www.who.int/mediacentre/factsheets/fs297/en/.
24. Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, Brauer M, Burnett R, Cercy K, Charlson FJ, Cohen AJ, Dandona L, Estep K, et al, and GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016; 388:1659–724. https://doi.org/10.1016/S0140-6736(16)31679-8. [PubMed].
25. Engelhardt M, Dold SM, Ihorst G, Zober A, Möller M, Reinhardt H, Hieke S, Schumacher M, Wäsch R. Geriatric assessment in multiple myeloma patients: validation of the International Myeloma Working Group (IMWG) score and comparison with other common comorbidity scores. Haematologica. 2016; 101:1110–19. https://doi.org/10.3324/haematol.2016.148189. [PubMed].
26. Tran BT, Halperin A, Chien JW. Cigarette smoking and outcomes after allogeneic hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2011; 17:1004–11. https://doi.org/10.1016/j.bbmt.2010.10.032. [PubMed].
27. Bruce JT, Tran JM, Phillips G, Elder P, Mastronarde JG, Devine SM, Hofmeister CC, Wood KL. Chemotherapeutic agents increase the risk for pulmonary function test abnormalities in patients with multiple myeloma. Clin Lymphoma Myeloma Leuk. 2012; 12:325–29. https://doi.org/10.1016/j.clml.2012.06.002. [PubMed].
28. Gritz ER, Fingeret MC, Vidrine DJ, Lazev AB, Mehta NV, Reece GP. Successes and failures of the teachable moment: smoking cessation in cancer patients. Cancer. 2006; 106:17–27. https://doi.org/10.1002/cncr.21598. [PubMed].
29. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, Lancellotti P, Muraru D, Picard MH, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2015; 16:233–70. https://doi.org/10.1093/ehjci/jev014. [PubMed].
30. Mohty D, Pibarot P, Dumesnil JG, Darodes N, Lavergne D, Echahidi N, Virot P, Bordessoule D, Jaccard A. Left atrial size is an independent predictor of overall survival in patients with primary systemic amyloidosis. Arch Cardiovasc Dis. 2011; 104:611–18. https://doi.org/10.1016/j.acvd.2011.10.004. [PubMed].
31. Raina S, Pant S, Vallurupalli S, Jambhekar K, Pandey T, Grazziutti M, Barlogie B, Dai Y, Deshmukh A, Mehta JL. Can autologous bone marrow transplantation improve systolic function in patients with multiple myeloma related cardiac amyloidosis? Int J Cardiol. 2014; 172:265–66. https://doi.org/10.1016/j.ijcard.2013.12.249. [PubMed].
32. Karvandi M, Piranfar MA, Yazdani S, Mehdizadeh M, Hajfathali A, Tabarraee M. Effect of bone marrow transplantation on diastolic function indices. Int J Clin Exp Med. 2013; 6:206–10. https://doi.org/10.4103/0975-3583.102713. [PubMed].
33. Dimopoulos MA, Kyle RA, Fermand JP, Rajkumar SV, Miguel JS, Chanan-Khan A, Ludwig H, Joshua D, Mehta JL, Gertz MA, Avet-Loiseau H, Beksac M, Anderson KC, et al. Consensus recommendations for standard investigative workup: report of the International Myeloma Workshop Consensus Panel 3. Blood. 2011; 117:4701–5. https://doi.org/10.1182/blood-2010-10-299529. [PubMed].
34. Zoghbi WA, Enriquez-Sarano M, Foster E, Grayburn PA, Kraft CD, Levine RA, Nihoyannopoulos P, Otto CM, Quinones MA, Rakowski H, Stewart WJ, Waggoner A, Weissman NJ, and American Society of Echocardiography. Recommendations for evaluation of the severity of native valvular regurgitation with two-dimensional and Doppler echocardiography. J Am Soc Echocardiogr. 2003; 16:777–802. https://doi.org/10.1016/S0894-7317(03)00335-3. [PubMed].
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