Literature DB >> 27605940

Heart valve disease in elderly Chinese population: effect of advanced age and comorbidities on treatment decision-making and outcomes.

Kui Hu1, Jun Li2, Yun Wan3, Tao Hong2, Shu-Yang Lu2, Chang-Fa Guo2, Chun-Sheng Wang2.   

Abstract

BACKGROUND: A considerable proportion of elderly patients with symptomatic severe heart valve disease are treated conservatively despite clear indications for surgical intervention. However, little is known about how advanced age and comorbidities affect treatment decision-making and therapeutic outcomes.
METHODS: Patients (n = 234, mean age: 78.5 ± 3.7 years) with symptomatic severe heart valve disease hospitalized in our center were included. One hundred and fifty-one patients (65%) were treated surgically (surgical group) and 83 (35%) were treated conservatively (conservative group). Factors that affected therapeutic decision-making and treatment outcomes were investigated and long-term survival was explored.
RESULTS: Isolated aortic valve disease, female sex, chronic renal insufficiency, aged ≥ 80 years, pneumonia, and emergent status were independent factors associated with therapeutic decision-making. In-hospital mortality for the surgical group was 5.3% (8/151). Three patients (3.6%) in the conservative group died during initial hospitalization. Low cardiac output syndrome and chronic renal insufficiency were identified as predictors of in-hospital mortality in the surgical group. Conservative treatment was identified as the single risk factor for late death in the entire study population. The surgical group had better 5-year (77.2% vs. 45.4%, P < 0.0001) and 10-year (34.5% vs. 8.9%, P < 0.0001) survival rates than the conservative group, even when adjusted by propensity score-matched analysis.
CONCLUSIONS: Advanced age and geriatric comorbidities profoundly affect treatment decision-making for severe heart valve disease. Valve surgery in the elderly was not only safe but was also associated with good long-term survival while conservative treatment was unfavorable for patients with symptomatic severe valve disease.

Entities:  

Keywords:  Long-term survival; The elderly; Treatment outcomes; Valvular heart disease

Year:  2016        PMID: 27605940      PMCID: PMC4996834          DOI: 10.11909/j.issn.1671-5411.2016.07.010

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


Introduction

The prevalence of valvular heart disease increases with age and an estimated 13% of patients aged 75 years and over have heart valve disease.[1] Indications for surgical intervention are well defined in guidelines and symptomatic severe heart valve disease is a class I recommendation.[2],[3] Valve surgery in the elderly is not only safe but also greatly improve the quality of life and expand the life span of those patients with heart valve disease.[4]–[9] However, previous studies revealed that a large proportion of elderly patients with clear indication for surgical procedures refused or were not offered surgical treatment. Advanced age, comorbidities, perceived high surgical risk, and poor long-term outcomes post-surgery were common factors associated with conservative treatment.[10]–[16] These problems are getting more and more attention with the aggravation of the aging process. In contrast with developed countries, rheumatic valve disease is still prevalent in the elderly in less developed countries like China.[17],[18] Furthermore, little is known about the spectrum of valve disease in the elderly Chinese population and how treatment decisions are made in a real world setting. The present study aimed to determine how advanced age and comorbidities affect treatment decision-making and treatment outcomes, including long-term survival in elderly subjects with heart valve disease in China.

Methods

Study population and treatment decision-making

The Institutional Review Board at our hospital waived the requirement for informed consent from patients and approved the protocol for this retrospective study. Between January 2003 and June 2014, 324 patients aged ≥ 75 years who were diagnosed with heart valve disease and admitted to our hospital were included for analysis. Data regarding patient characteristics were reviewed. Etiology, severity of disease, and symptoms were evaluated according to guidelines.[2],[3] As shown in Figure 1, 90 patients were excluded based on the following exclusion criteria: (1) had mild or moderate disease; (2) were asymptomatic; (3) underwent transcatheter procedures; or (4) clinical data were incomplete. Overall, 234 patients with symptomatic severe heart valve disease were included.
Figure 1.

Demographics of patients in the study.

During the course of treatment decision-making, the attending practitioners explained the potential risks and benefits of surgical intervention or conservative treatment and gave patients advice. The choice was at the discretion of attending practitioners, the patients, and their relatives. Accordingly, a decision of surgical intervention was made for 151 patients (surgical group) while conservative treatment was decided on for 83 patients (conservative group).

Clinical data collection

The clinical data of all patients were reviewed. Variables including diagnosis, etiology, age, sex, weight, height, functional status, comorbidities, and medical history were recorded. The new European System for Cardiac Operative Risk Evaluation (EuroSCORE II) was used to calculate risk score.[19]

Follow-up

Follow-up started from the date of treatment decision-making to the date of death or the endpoint of the investigation. Information was obtained by telephone interview with patients or their relatives or, for some patients, by reviewing outpatient or inpatient records. Follow-up was completed for 94.0% (220/234) of patients with a mean duration of 49.2 ± 32.3 months (range: 3 days to 130 months).

Statistics

All statistical analyses were performed using SPSS18.0 software. Continuous variables are expressed as the mean ± SD or as interquartile ranges. Categorical variables are reported as numbers and percentages. Differences between two groups were analyzed using the Student's unpaired t-test, the chi-squared test, or the Fisher exact test, as shown in Table 1.
Table 1.

Baseline characteristics of the study population.

VariablesAll patients (n = 234)Surgical group (n = 151)Conservative group (n = 83)P-value
Female92 (39.3%)51 (33.8%)41 (49.4%)0.024
Age, yrs78.5 ± 3.777.4 ± 2.080.6 ± 4.9<0.0001
Weight, kg59.2 ± 11.260.1 ± 10.957.5 ± 11.60.09
Height, cm164.6 ± 6.7164.3 ± 7.0165.1 ± 6.10.431
Cc, mL/min47.4 ± 15.550.4 ± 14.841.3 ± 15.2<0.0001
EuroSCORE II6.0 ± 3.75.7 ± 3.56.4 ± 3.90.158
NYHA class
 II37 (15.8%)21 (13.9%)15 (18.1%)0.398
 III149 (63.7%)109 (72.2%)42 (50.1%)0.001
 IV50 (21.4%)23 (15.2%)26 (31.3%)0.004
LVEF57.0% ± 12.5%56.6% ± 11.9%67.8% ± 13.7%0.463
 ≤ 50%73 (31.2%)48 (31.8%)26 (31.3%)0.942
Valve disease
 Aortic90 (37.2%)65 (43.0%)25 (30.1%)0.052
 Mitral55 (23.5%)33 (21.9%)22 (26.5%)0.422
 Tricuspid6 (2.6%)3 (2.0%)3 (3.6%)0.748
 Combined84 (36.8%)51 (33.8%)33 (39.8%)0.361
Etiology
 Degenerative142 (60.7%)94 (62.3%)48 (57.8%)0.508
 Rheumatic75 (32.1%)52 (34.4%)23 (27.8%)0.292
 Other17 (4.7%)10 (6.6%)7 (8.4%)0.610
Symptoms
 Dyspnea169 (72.2%)110 (72.8%)59 (71.1%)0.773
 Syncope33 (14.1%)22 (14.6%)11 (13.3%)0.782
 Angina63 (26.9%)39 (25.8%)24 (28.9%)0.610
 Fatigue95 (40.6%)58 (38.4%)37 (45.7%)0.358
 Edema61 (26.1%)39 (25.8%)22 (26.5%)0.910
Comorbidities
 CAD51 (21.8%)34 (22.5%)17 (20.5%)0.718
 MI18 (7.7%)11 (7.3%)7 (8.4%)0.752
 Hypertension120 (54.7%)81 (53.6%)39 (47.0%)0.330
 Diabetes47 (20.1%)31 (20.5%)16 (19.8%)0.819
 PAH39 (16.7%)20 (13.2%)19 (22.9%)0.058
 Fibrillation129 (55.1%)85 (56.3%)44 (53.0%)0.629
 COPD29 (12.4%)16 (10.6%)13 (15.7%)0.260
 CRI140 (59.8%)76 (50.3%)64 (77.1%)<0.0001
 Pneumonia26 (10.7%)6 (4.0%)20 (24.1%)<0.0001
 *Emergent status22 (9.0%)6 (3.9%)16 (19.3%)<0.0001

Data are presented as mean ± SD or n (%). *Emergent status refers to patients who were admitted to the emergency department for acute MI, acute heart failure, respiratory failure, or thromboembolism. CAD: coronary artery disease; Cc: creatinine clearance; COPD: chronic obstructive pneumonia disease; CRI: chronic renal insufficiency; EuroSCORE II: System for Cardiac Operative Risk Evaluation II (2011); LVEF: left ventricular ejection fraction; MI: myocardial infarction; NYHA: New York Heart Association; PAH: pulmonary arterial hypertension.

Variables with an associated P value < 0.10 were subsequently submitted to a multivariate logistic regression procedure. Variables were selected using a backward procedure with a threshold of P = 0.05. The Kaplan–Meier method was used to compute overall survival and the two groups were compared using the log-rank test. We performed a propensity score analysis to reduce the effect of treatment selection bias. The propensity scores were estimated by using a multiple logistic regression model in which surgical treatment was the dependent variable, and variables which correlated with treatment decision-making or long-term outcomes were independent variables. These variables included age, weight, height, sex, coronary artery disease, history of prior myocardial infarction, chronic obstructive pneumonia disease (COPD), atrial fibrillation, hypertension, pulmonary arterial hypertension, diabetes, creatinine clearance, pneumonia, New York Heart Association functional class (NYHA class), left ventricular ejection fraction (LVEF) and emergent status. Matched propensity scores were then used to select pairs of patients in two groups (1: 1 match). Overall propensity score-adjusted survival in the matched groups was computed using the Kaplan–Meier method. Finally, all variables were submitted to a Cox proportional hazard regression model using backward elimination procedure at the level of 0.10 to identify factors independently associated with treatment outcomes in each group. All remaining variables, together with the therapeutic decision, were submitted to a new Cox proportional hazard regression model to determine independent factors associated with long-term outcome in all patients. All tests were two-sided and a P value < 0.05 was considered to be statistically significantly different. Data are presented as mean ± SD or n (%). *Emergent status refers to patients who were admitted to the emergency department for acute MI, acute heart failure, respiratory failure, or thromboembolism. CAD: coronary artery disease; Cc: creatinine clearance; COPD: chronic obstructive pneumonia disease; CRI: chronic renal insufficiency; EuroSCORE II: System for Cardiac Operative Risk Evaluation II (2011); LVEF: left ventricular ejection fraction; MI: myocardial infarction; NYHA: New York Heart Association; PAH: pulmonary arterial hypertension.

Results

Population characteristics

A total of 234 patients (female, 39.3%) with symptomatic severe heart valve disease were included in the present investigation. The mean age of all patients was 78.5 ± 3.7 years (range 75–100 years); six patients (2.7%) were aged ≥ 90 years. As shown in Table 1, degenerative disease was the most common (60.7%) etiology; however, rheumatic valve disease was the second most common (32.1%) cause of heart valve disease in the study population. Three of the most prevalent comorbidities were chronic renal insufficiency (59.8%), atrial fibrillation (55.1%), and hypertension (54.7%). There were no differences between the two treatment groups with respect to height, weight, overall functional class, LVEF, EuroSCORE II risk score, type of diseases, etiology, and symptoms. However, patients in the conservative group were older, had lower creatinine clearance, and a greater frequency of functional class IV, emergent status, and pneumonia.

Therapeutic decision-making

In the conservative group, 52 patients (62.6%) were considered by physicians as too high risk to undergo a surgical procedure and were not referred to a cardiac surgeon, only 37.4% of this group (31/83) were referred to a cardiac surgeon. Among them, 21.7% (18/83) declined surgical intervention and 15.7% (13/83) were recommended conservative treatment by the cardiac surgeon because of contraindication for surgical intervention. Patients in the conservative group were treated with pharmacotherapy to control their condition. In the surgical group, 136 patients were recruited from the cardiac surgery outpatient clinic and 15 patients were referred by physicians and recruited from a medical ward; these 15 patients were initially referred for conservative treatment but subsequently received surgery. One hundred and sixteen patients underwent isolated valve procedures and 29 patients underwent a valve procedure combined with coronary artery bypass grafting (CABG). Six patients underwent other procedures including two aortic replacement combined ascending aorta repair, two Bentall procedures, and two aortic valve replacements in combination with semi-aortic arch replacement. According to multivariate logistic regression analysis, age ≥ 80 years, pneumonia, chronic renal insufficiency, emergent status, and female sex were identified as predictive factors associated with a decision of conservative treatment; while isolated aortic valve disease was an independent factor for choosing surgical treatment (Table 2).
Table 2.

Independent factors associated with a decision for conservative treatment.

VariableOdds ratio95% CIP value
Age (≥ 80 years)5.342.31–12.34< 0.0001
Sex (female)5.472.33–12.85< 0.0001
*Emergent status6.451.81–23.020.004
PAH4.650.83–26.030.080
COPD1.780.59–5.390.310
Pneumonia14.452.43–85.890.003
CRI2.321.00–5.410.049
Functional class IV1.940.67–5.600.220
Isolated aortic valve disease0.070.02–0.24< 0.0001

*Emergent status refers to patients who were admitted to the emergency department for acute myocardial infarction, myocardial infarction, acute heart failure, respiratory failure, or thromboembolism. COPD: chronic obstructive pulmonary disease; CRI: chronic renal insufficiency, creatinine clearance ≤ 50 mL/min; PAH: pulmonary arterial hypertension.

Treatment outcomes and long-term survival

In-hospital mortality was 5.3% (8/151) in the surgical group and the mean duration of in-hospital stay was 21.9 ± 12.7 days. Early treatment outcomes in the surgical group are summarized in Table 3. Compared with isolated valve procedures, valve procedures combined with CABG had a higher in-hospital mortality rate, longer in-hospital stay, longer intensive care unit (ICU) stay, and more complications. However, these differences did not reach statistical significance. Low cardiac output syndrome and chronic renal insufficiency were identified as independent risk factors for surgical mortality (Table 4). Three (3.6%) sudden cardiac deaths occurred in the conservative group during initial hospitalization. If symptoms of the conservative group were relieved, patients were discharged after a mean hospital stay of 12.3 ± 7.6 days, while 45% of patients were readmitted to the hospital within the next year for severe myocardial infarction, heart failure, or other heart-related comorbidities.
Table 3.

Early outcomes in the surgical group.

VariablesIsolated valve proceduresValve procedures combined CABGOther proceduresTotal
Patients116 (76.8%)29 (19.2%)6 (4.0%)151 (100%)
In-hospital death5 (4.3%)3 (10.3%)08 (5.3%)
Hospital stay, days21.4 ± 10.224.8 ± 20.523 ± 6.121.9 ± 12.7
ICU stay, days13.3 ± 8.913.5 ± 10.310.8 ± 3.113.3 ± 9.0
In-hospital complications
 MI6 (5.2%)2 (6.9%)08 (5.3%)
 Stroke8 (6.9%)2 (6.9%)1 (16.7%)11 (7.3%)
 Dialysis1 (0.9%)1 (3.4%)02 (1.3%)
 Bleeding18 (15.5%)7 (24.1%)1 (16.7%)26 (17.2%)
 Rethoracotomy8 (6.9%)3 (10.3%)011 (7.3%)
 Low cardiac output11 (9.5%)3 (10.3%)014 (9.3%)
 Permanent pacemaker1 (0.9%)001 (0.7%)
 Wound infection6 (5.2%)1 (3.4%)1 (16.7%)8 (5.3%)
 Pneumonia14 (12.1%)4 (13.8%)1 (16.7%)19 (12.6%)
 Tracheotomy5 (4.3%)2 (6.9%)1 (16.7%)8 (5.3%)
 Respiratory failure6 (5.2%)2 (6.9%)08 (5.3%)

Data are presented as mean ± SD or n (%). CABG: coronary artery bypass grafting; ICU: intensive care unit; MI: myocardial infarction.

Table 4.

Independent factors associated with surgical mortality.

VariableOdds ratio95% CIP-value
Preoperative
 Age ≥ 80 yrs1.340.94–3.460.067
 Atrial fibrillation1.020.67–2.120.453
 PAH1.230.86–2.030.684
 COPD1.580.59–4.930.531
 CAD1.560.78–5.390.078
 CRI2.821.05–6.410.041
 Functional class IV1.440.91–3.530.522
Postoperative
 Low cardiac output2.541.27–9.230.032
 Hemodialysis1.010.72–2.560.642
 Rethoracotomy1.030.32–2.230.456
 Dialysis1.891.05–4.390.072

CAD: coronary artery disease; COPD: chronic obstructive pneumonia disease; CRI: chronic renal insufficiency, creatinine clearance ≤ 50 mL/min; PAH: pulmonary arterial hypertension.

*Emergent status refers to patients who were admitted to the emergency department for acute myocardial infarction, myocardial infarction, acute heart failure, respiratory failure, or thromboembolism. COPD: chronic obstructive pulmonary disease; CRI: chronic renal insufficiency, creatinine clearance ≤ 50 mL/min; PAH: pulmonary arterial hypertension. Data are presented as mean ± SD or n (%). CABG: coronary artery bypass grafting; ICU: intensive care unit; MI: myocardial infarction. CAD: coronary artery disease; COPD: chronic obstructive pneumonia disease; CRI: chronic renal insufficiency, creatinine clearance ≤ 50 mL/min; PAH: pulmonary arterial hypertension. Patients in the surgical group experienced an obvious improvement in exercise tolerance and quality of life. The NHYA class of 82% of surviving patients improved to class I or II within one year post-surgery. Unfortunately, patients in the conservative group suffered recurrent disease and their exercise tolerance was seriously limited. Eighty-seven patients died during the follow-up period, 38 (eight died during surgical intervention) in the surgical group and 49 (3 died during initial hospitalization) in the conservative group. Heart failure was the most common cause of death in all patients during the follow-up period including 19 patients in the surgical group and 38 patients in the conservative group. According to Kaplan–Meier analysis, the overall 1-year, 5-year, and 10-year survival in the surgical and conservative groups was 90.1% vs. 84.4%, 77.2% vs. 45.4%, and 34.5% vs. 8.9%, respectively (log-rank P < 0.0001) (Figure 2). Cox regression analysis revealed that conservative treatment was the single risk factor associated with poor long-term outcomes in the overall series of patients (Table 5).
Figure 2.

Kaplan–Meier survival analysis of the two treatment groups.

Group S: surgical group; Group C: conservative group.

Table 5.

Cox regression analysis of risk factors associated with late mortality in all study patients.

VariablesHazard ratio95%CIP-value
Sex (female)0.750.39–1.980.112
LVEF0.680.43–1.690.421
CAD1.531.01–7.540.076
COPD0.720.056–2.480.153
NYHA class IV1.570.98–5.490.067
CRI1.190.58–4.450.463
EuroSCORE II0.820.54–1.560.072
Conservative treatment9.233.17–31.24< 0.0001

CAD: coronary artery disease; COPD: chronic obstructive pulmonary disease; CRI: chronic renal insufficiency, creatinine clearance ≤ 50 mL/min; EuroSCORE II: System for Cardiac Operative Risk Evaluation II (2011); LVEF: left ventricular ejection fraction; NYHA: New York Heart Association functional class.

Kaplan–Meier survival analysis of the two treatment groups.

Group S: surgical group; Group C: conservative group. CAD: coronary artery disease; COPD: chronic obstructive pulmonary disease; CRI: chronic renal insufficiency, creatinine clearance ≤ 50 mL/min; EuroSCORE II: System for Cardiac Operative Risk Evaluation II (2011); LVEF: left ventricular ejection fraction; NYHA: New York Heart Association functional class.

Propensity score analysis

Seventeen baseline covariates were entered into a logistic model for individual propensity score estimation. The model had an area under the receiver operating characteristic curve of 0.841. Propensity score matching for all patients (1: 1 match) yielded 83 pairs of matched patients. Seventy-eight in the conservative group and 80 in the surgical group were followed up. Kaplan–Meier analysis showed better long-term survival in the surgical group (log-rank P < 0.0001) (Figure 3).
Figure 3.

Kaplan–Meier survival analysis of propensity score-matched patients.

Group S: surgical group; Group C: conservative group.

Kaplan–Meier survival analysis of propensity score-matched patients.

Group S: surgical group; Group C: conservative group.

Discussion

Although surgical intervention for patients with symptomatic severe heart valve disease is clearly stated in guidelines, a large number of elderly patients with symptomatic severe heart valve disease are treated conservatively.[15] In the present investigation, we included 234 patients aged 75 years and over with symptomatic heart valve disease in a Chinese population. We found that 35% of patients with a clear indication for surgical intervention were treated conservatively. Further assessment showed that advanced age, as well as cardiac and geriatric comorbidities, not only affected therapeutic decision-making but also influenced treatment outcomes and long-term survival. To reduce selection bias, we recruited all patients who presented with symptomatic severe heart valve disease from our hospital data base, which guaranteed consistency of the medical condition. Echocardiograms, symptoms, disease, and etiology were reviewed according to guidelines, and all the patients included in the study had a clear indication for surgical intervention.[2],[3] In addition, we made use of a propensity score matching analysis to reduce selection bias in this retrospective observational study. Finally, this study included a large number of Chinese elderly patients and investigated the spectrum of heart valve disease in this subgroup. Interestingly, different from developed countries, rheumatic heart valve disease was still prevalent and accounted for 32.1% in the elderly.[20],[21] We also found that more than 50% of patients had concomitant chronic renal insufficiency, atrial fibrillation, and hypertension. There is a paucity of literature about the effect of advanced age and comorbidities on treatment decision-making and outcomes of elderly patients with heart valve disease, especially in less developed countries. Furthermore, therapeutic decision-making for these patients is complex in the real world setting.[22],[23] Individual cardiac and geriatric characteristics of patients in our study lead to considerable variability in mortality and morbidity, as well as life expectancy and quality of life. Consequently, treatment decisions should be reached based on an estimation of benefit–risk ratio instead of only relying on an estimation of treatment risk.[24] However, in accordance with other studies, we found that physicians were generally lacking knowledge about the risks and results of surgical intervention, and many patients with a clear-cut indication for surgical intervention were recommended for conservative treatment.[5] In the present study, almost two-thirds (62.7%) of patients in the conservative group were not even evaluated by a cardiac surgeon. Accordingly, we advocate that the optimal therapeutic option for elderly patients with heart valve disease should be made following an integrated discussion with a heart team. To analyze the process of treatment decision-making objectively, we compared objective characteristics of patients in addition to reasons given by attending practitioners. We found that aged ≥ 80 years, pneumonia, chronic renal insufficiency, emergent status, and female sex were independent factors associated with a decision for conservative treatment. However, patients with isolated aortic valve disease tended to be treated surgically. Advanced age is associated with various complications including renal insufficiency, respiratory dysfunction, and a subsequent reduction in life expectancy.[8] Consequently, advanced age raises the risks associated with surgical intervention and is a predictor of conservative treatment for elderly patients with heart disease.[5],[6],[11],[25] An investigation showed that advanced age was taken into consideration by attending practitioners as a significant factor for conservative treatment.[26] However, advanced age was no longer a risk factor associated with poor long-term survival when compared with an age-matched population.[6],[12],[20] Importantly, guidelines state that advanced age alone should not be a contraindication for surgical intervention.[2],[3] Cardiac and non-cardiac comorbidities in elderly patients with heart disease are frequent. The present study showed that more than 50% of patients had comorbid chronic renal insufficiency, atrial fibrillation, and hypertension. Comorbidities not only affected treatment decision-making but also influenced early treatment outcomes and long-term survival.[27] Our data indicated that chronic renal insufficiency was independently associated with a decision of conservative treatment. Chronic renal insufficiency was also identified as a predictor of in-hospital mortality in the surgical group. Previous studies have shown that chronic renal insufficiency is a predictor of operative mortality and poor long-term survival, especially during cardiac surgery in the elderly.[4],[15] Together with our results, this suggests that caution should be exercised when contemplating surgical intervention for elderly patients with heart valve disease. Left ventricular dysfunction is a predictor of surgical mortality and poor long-outcomes.[28],[29] Therefore, poor left ventricle function is an important factor in discouraging surgical intervention in clinical practice.[25] However, patients with symptomatic heart valve disease accompanied by impaired left ventricular function always had poorer late outcomes if conservative treatment was adopted. Moreover, such patients benefited more from surgical intervention than those with normal left ventricular function.[6] Nevertheless, decision-making is complicated in the real word and the benefit–risk ratio is hard to evaluate for patients with impaired left ventricular function. In the present study, left ventricular function had not been taken into consideration when making treatment decisions. This is most likely because there were no significant differences between the two treatment groups regarding left ventricular function and there were no patients with a very low LVEF (< 30%) among our study population. Functional status is not only an important factor associated with treatment risk and long-term survival, but also a significant factor which should be taken into consideration when treatment decisions are made. In our study, universal analysis disclosed that NYHA class IV was frequently linked with therapeutic decision, but this difference did not reach statistical significance in multivariate analysis. This could be partly explained because an assessment of the functional status of elderly patients does not always reflect the real condition. With increasing age, daily activities decrease and lifestyle changes. Consequently, it is difficult for the attending practitioner to accurately assess the functional status of elderly patients with heart disease, especially those with a long-term medical history or an emergent status.[30],[31] Our data indicated that pneumonia and emergent status were independent components which affected the treatment decision-making process. However, pneumonia and emergent status merely reflected the immediate condition of patients when they were admitted to the hospital. Nevertheless, physicians did not recommend surgical intervention for such patients, even when the pneumonia and emergent status were under control. This phenomenon once again suggests that an interdisciplinary discussion should be enforced to optimize the treatment strategy for elderly patients with heart valve disease. Previous studies showed that female sex was associated with morbidity, mortality, and adverse long-term outcomes in patients who underwent cardiac surgery.[32]–[34] However, sex differences were not taken into consideration by attending practitioners when the treatment decision was made.[26] In contrast with previous investigations which discussed treatment decision-making for elderly patients with cardiac disease, our data revealed that female sex was independently associated with a decision of conservative treatment (OR = 5.47, 95% CI: 2.33–12.85, P < 0.0001). This is probably related to a higher risk score, limited activity and organ dysfunction in aged females. Nevertheless, this reminds us that more research, both basic and clinical, is needed to highlight the effect of sex on treatment outcomes and long-term prognosis of patients with heart disease. Bhamidipati, et al.[4] showed that isolated mitral and combined procedures in octogenarians have higher complications and costs. In accordance with this, our investigation indicated that patients with isolated aortic valve disease tended to be treated surgically. More interestingly, we found that although isolated aortic valve disease was the most common disease in the entire study population, mitral disease and combined heart valve disease accounted for more than 60%. This is probably because of the prevalence of rheumatic valve disease in the elderly in China and rheumatic disease always involves mitral and combined valves. However, although rheumatic valve disease was prevalent in our study population, it did not affect treatment decision-making and outcomes.

Study limitations

The limitations of this retrospective survey should be acknowledged. First, patients included in the study were recruited from inpatient wards, and most of the patients in the surgical group were evaluated by surgeons in cardiac surgery outpatient clinics, and almost all of them were in a stable condition. Conversely, patients in the conservative group were mostly in an unstable condition when they were admitted to the hospital. Second, despite the absence of any significant differences between the two groups in EuroSCORE II scores, and the use of propensity score matching to reduce selection bias, unaccounted for confounding factors may have contributed to our results.

Conclusions

This retrospective analysis of elderly patients with symptomatic severe heart valve disease in China showed that more than one-third were treated conservatively, despite a clear indication for surgical intervention. Advanced age as well as cardiac- and age-related comorbidities profoundly affected treatment decision-making, treatment outcomes, and long-term prognosis. Valve surgery in the elderly is associated with good early outcomes and excellent long-term survival, in addition to distinct improvements in quality of life. Conversely, conservative treatment seemed unfavorable for long-term survival and improvement of quality of life. An assessment of the benefit-risk ratio for elderly patients with heart disease is complicated and interdisciplinary discussions should be enforced to optimize treatment strategies.
  34 in total

1.  To operate or not on elderly patients with aortic stenosis: the decision and its consequences.

Authors:  B J Bouma; R B van Den Brink; J H van Der Meulen; H A Verheul; E C Cheriex; H P Hamer; E Dekker; K I Lie; J G Tijssen
Journal:  Heart       Date:  1999-08       Impact factor: 5.994

2.  Evaluation of patients with severe symptomatic aortic stenosis who do not undergo aortic valve replacement: the potential role of subjectively overestimated operative risk.

Authors:  David S Bach; Derrick Siao; Steven E Girard; Claire Duvernoy; Benjamin D McCallister; Sarah K Gualano
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2009-10-27

3.  Variability in treatment advice for elderly patients with aortic stenosis: a nationwide survey in The Netherlands.

Authors:  B J Bouma; J H van der Meulen; R B van den Brink; A E Arnold; A Smidts; L H Teunter; K I Lie; J G Tijssen
Journal:  Heart       Date:  2001-02       Impact factor: 5.994

Review 4.  A systematic review on the quality of life benefits after aortic valve replacement in the elderly.

Authors:  Leonard Shan; Akshat Saxena; Ross McMahon; Andrew Wilson; Andrew Newcomb
Journal:  J Thorac Cardiovasc Surg       Date:  2013-02-14       Impact factor: 5.209

5.  Impact of ejection fraction on long-term outcome after elective aortic valve replacement in octogenarians with aortic stenosis.

Authors:  Kentaro Shibayama; Hiroyuki Watanabe; Minoru Tabata; Shunsuke Sasaki; Toshihiro Fukui; Jun Umemura; Shuichiro Takanashi; Tetsuya Sumiyoshi
Journal:  Circ J       Date:  2012-04-03       Impact factor: 2.993

6.  Female gender and the risk for death after cardiac surgery in septuagenarians and octogenarians: a retrospective observational study.

Authors:  Michael Ried; Assad Haneya; Tobias Homann; Philipp Kolat; Christof Schmid; Claudius Diez
Journal:  Gend Med       Date:  2011-06-11

7.  ESC Working Group on Valvular Heart Disease Position Paper: assessing the risk of interventions in patients with valvular heart disease.

Authors:  Raphael Rosenhek; Bernard Iung; Pilar Tornos; Manuel J Antunes; Bernard D Prendergast; Catherine M Otto; Arie Pieter Kappetein; Janina Stepinska; Jens J Kaden; Christoph K Naber; Esmeray Acartürk; Christa Gohlke-Bärwolf
Journal:  Eur Heart J       Date:  2011-03-15       Impact factor: 29.983

8.  Outcomes of elderly patients aged 80 and over with symptomatic, severe aortic stenosis: impact of patient's choice of refusing aortic valve replacement on survival.

Authors:  P Kojodjojo; N Gohil; D Barker; P Youssefi; T V Salukhe; A Choong; M Koa-Wing; J Bayliss; D R Hackett; M A Khan
Journal:  QJM       Date:  2008-04-27

9.  Which elderly patients with severe aortic stenosis benefit from surgical treatment? An aid to clinical decision making.

Authors:  Berto J Bouma; Renee B van den Brink; K Zwinderman; Emile C Cheriex; Hans H Hamer; Kong I Lie; Jan G Tijssen
Journal:  J Heart Valve Dis       Date:  2004-05

10.  EuroSCORE II and the art and science of risk modelling.

Authors:  Samer A M Nashef; Linda D Sharples; François Roques; Ulf Lockowandt
Journal:  Eur J Cardiothorac Surg       Date:  2012-08-24       Impact factor: 4.191

View more
  1 in total

1.  Characteristics, interventions and outcomes of patients with valvular heart disease hospitalised in China: a cross-sectional study.

Authors:  Xinghe Huang; Sanket S Dhruva; Xin Yuan; Xueke Bai; Yuan Lu; Xiaofang Yan; Jiamin Liu; Wei Li; Danli Hu; Runqing Ji; Min Gao; Fengyu Miao; Jiaying Li; Jinzhuo Ge; Harlan M Krumholz; Jing Li
Journal:  BMJ Open       Date:  2021-11-03       Impact factor: 3.006

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.