Literature DB >> 25326757

Comparison of clinical outcomes in patients undergoing mitral valve replacement with mechanical or biological substitutes: a 20 years cohort.

Angela Henrique Silva Ribeiro1, Orlando Carlos Belmonte Wender, Adriana Silveira de Almeida, Luciana Eltz Soares, Paulo Dornelles Picon.   

Abstract

BACKGROUND: The choice of prosthesis for mitral valve replacement still remains controversial. This study assessed mortality, bleeding events and reoperation in patients who underwent mitral valve replacement surgery with biological or mechanical substitutes.
METHODS: A total of 352 patients who underwent mitral valve replacement surgery between 1990 and 2008 with 5 to 23 years of follow-up were retrospectively evaluated in a cohort study.
RESULTS: The 5, 10, 15 and 20 year survival rates after surgery using a mechanical substitute were 87.7%, 74.2%, 69.3% and 69.3%, respectively, while after surgery with a biological substitute, they were 87.6%, 71.0%, 64.2% and 56.6%, respectively. There was no significant difference between the two groups (p = 0.38). In the multivariate analysis, the factors associated with death were age, bleeding events and renal failure. The probabilities of remaining free of reoperation at 5, 10, 15 and 20 years after surgery using a mechanical substitute were 94.4%, 92.7%, 92.7% and 92.7%; after surgery with a bioprosthesis, they were 95.9%, 86.4%, 81.2% and 76.5%, respectively (p = 0.073). There was a significantly higher incidence of reoperation for the bioprosthetic valve replacement group (p = 0.008). The probabilities of remaining free of bleeding events at 5, 10, 15 and 20 years after surgery using a mechanical substitute were 95.0%, 91.0%, 89.6% and 89.6%, respectively, while after surgery with a bioprosthesis, they were 96.9%, 94.0%, 94.0% and 94.0%, (p = 0.267).
CONCLUSIONS: The authors concluded that: 1) mortality during follow-up was statistically similar for both groups; 2) there was a greater tendency to reoperation in the bioprosthesis group; 3) the probability of remaining free from reoperation remained unchanged after 10 years' follow-up for patients with mechanical substitute valves; 4) the probability of remaining fee from bleeding events remained unchanged after 10 years' follow-up for patients given bioprostheses; 5) the baseline characteristics of patients were the greatest determinants of later mortality after surgery; 6) the type of prosthesis was not an independent predictive factor of any of the outcomes tested in the multivariate analysis.

Entities:  

Mesh:

Year:  2014        PMID: 25326757      PMCID: PMC4271332          DOI: 10.1186/1471-2261-14-146

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


Background

Mitral valve replacement is a surgical procedure employed when a valve is so severely compromised that preservation is not viable, ruling out reparative surgery, and it is also recommended for initial phase mitral insufficiency in young patients, irrespective of symptoms, according to the American Heart Association (ACC/AHA) [1]. As the longevity of populations steadily extends, the high costs inherent to potential high complexity interventions merit due attention. In Brazil, life expectancy increased by 11% between 1980 and 2000, according to the Brazilian Institute of Geography and Statistics (IGBE - Instituto Brasileiro de Geografia e Estatística) and by 2050 there will be 226 elderly people over 60 years for every 100 children and adolescents [2]. It has been shown that heart surgery can be effective in patients in their seventies and eighties, but the cost of operating these patients can be up to 35% higher [3]. Figures provided by DATASUS, the IT department of the Brazilian National Health Service (SUS - Sistema Único de Saúde) [4], show that implantation of prosthetic valves accounted for 16.4% of high complexity cardiovascular surgery conducted in Brazil between January 2008 and July 2013, with 40,506 operations to implant valves, compared with 3,683 valvuloplasty operations during the same period. Twenty-five percent of Brazilian government spending on health services is spent on cardiovascular care [5]. More than 30 years after the introduction of modern prosthetic valves, the choice of whether to use a biological or a mechanical valve in the mitral position is still the subject of debate [6, 7]. This is because there is no ideal substitute [8-11] that offers long-term durability, without the need for oral anticoagulants, no increased risk of thromboembolism and a functional mechanism similar to the native mitral valve [10]. This decision becomes an even greater challenge when patients have coexisting conditions, such as advanced age, congestive heart failure, coronary artery disease, lung disease or renal failure. The increase in life expectancy and in comorbidities among patients needing valve replacement means that choosing the most effective treatment (valvuloplasty, mechanical prosthesis or bioprosthesis) demands consideration of additional factors [12]. The objective of this study was to investigate mortality, bleeding events and reoperation among patients who underwent surgery for mitral valve replacement with a biological or mechanical prosthesis in a tertiary hospital that is a heart surgery referral center for the South of Brazil.

Methods

The study design was a historical, observational cohort study.

Sample

Data were obtained from the archive service at the Hospital de Clínicas de Porto Alegre (HCPA), Rio Grande do Sul, Brazil, from the medical records of 846 inpatients over the age of 18 who had undergone surgery in that hospital for mitral valve replacement between 1 January 1990 and 31 December 2008 and had been followed-up for outcomes up to June 2013. Cases with mitral valvuloplasty (n = 321) additional heart surgery of other types (n = 109), previous heart surgery (n = 60) and patients under the age of 18 (n = 4) were all excluded, leaving a cohort of 352 patients (Figure 1). The PEPI (Programs for Epidemiologists) version 4.0 software package was used to calculate the sample size needed to detect an effect size (difference between groups) with relation to mortality of 15% between prosthesis types while maintaining a statistical power of 80% and a 5% significance level. The effect size was estimated from data published by Hammermeister et al. [8, 13, 14]. With these parameters, the minimum sample size was estimated at 314 cases.
Figure 1

Flowchart of patients. This flowchart shows the inclusion and exclusion criteria of the studied subjects.

Flowchart of patients. This flowchart shows the inclusion and exclusion criteria of the studied subjects. The principal objective was to compare mortality between patients given mechanical or biological replacement valves. Secondary objectives were: 1) to compare the probability of survival free from reoperation and bleeding events across groups; and 2) to analyze predictors of death, reoperation and bleeding events. Clinical and surgical features of the cases were harvested from information on patient records. The data thus collected were evaluated by at least two authors independently. The team's performance was subjected to quality control in the form of double input data entry with crosschecking. The study methodology was based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) [15]. Records of deaths were obtained from the Rio Grande do Sul State Health Department healthcare information service in Porto Alegre. Complications related to prostheses were recorded in accordance with the Guidelines for Reporting Mortality and Morbidity After Cardiac Valve Interventions [16]. All operations were conducted under extracorporeal circulation, with moderate hypothermia (32°) and cardiac arrest, following the standardized technique adopted by the Cardiovascular Surgery Department at the Hospital de Clínicas de Porto Alegre, including anesthetic procedures. All of the mechanical prostheses employed were bileaflet valves and all of the biological prostheses implanted were provided by the SUS. After surgery, all patients were transferred to the postoperative heart surgery ICU on mechanical ventilation. Maximum duration of follow-up was 23 years, with a mean of 9.2 ± 4.8 years and median of 8.9 years.

Ethical considerations

The research project was approved in advance by the Medical Research Ethics Committee at the Hospital de Clínicas de Porto Alegre, under protocol number 11–0497, in order to obtain permission to conduct the study in that hospital, with financial support from the hospital’s research funding agency, the Fundo de Incentivo à Pesquisa e Eventos (FIPE/HCPA). Patient confidentiality and anonymity were guaranteed. Use of the data collected for this study was restricted to the objectives of this project.

Definitions

The definitions listed below are all taken from the Guidelines for Reporting Mortality and Morbidity After Cardiac Valve Interventions [15]. The total number of deaths includes all deaths, from whatever causes, of patients who had had mitral valve surgery. Early mortality is defined as all deaths within 30 days of surgery, irrespective of the patient’s location. Hospital mortality is any death after surgery while still in hospital. Valve-related mortality is defined as any death caused by structural deterioration, nonstructural dysfunction, thrombosis, embolism, bleeding events, endocarditis, or death related to reoperation of a previously operated valve. Deaths caused by heart failure in patients with advanced myocardial disease and no valve dysfunction are not included in this category. Cardiac deaths are all deaths resulting from cardiac causes, including deaths related and unrelated to valves or prostheses. This category includes deaths from congestive heart failure, acute myocardial infarction and documented arrhythmias, among others. Sudden, unexplained and unexpected death are deaths from unknown causes and their relationship with the operated valve is also unknown. This item is a separate category from valve-related mortality, to cover cases when the cause cannot be determined from clinical or necropsy findings. Reoperation is when a previously operated valve is repaired, altered, adjusted or replaced, according to the Guidelines for Reporting Morbidity and Mortality after Cardiac Valvular Interventions [16]. A bleeding event is defined as any episode of major internal or external bleeding that causes death, hospita-lization, or permanent injury, such as a cerebral vascular accident or loss of vision or bleeding requiring blood transfusions.

Statistical analysis

Quantitative variables were described using means and standard deviations, where distribution was symmetrical, or medians and interquartile range, in cases of asymmetrical distribution, and qualitative variables were expressed as absolute and relative frequencies. Groups were compared using Student’s t test for independent samples (symmetrical distribution) or the Mann–Whitney test (asymmetrical distribution) for quantitative variables, and Pearson’s chi-square or Fisher’s exact test for qualitative variables (rates and proportions). Survival rates and probabilities of reoperation and of bleeding events were assessed using Kaplan-Meier curves. The log-rank chi-square test was used to compare curves across groups. Cox's proportional risk model was employed to control for confounding factors. Hazard ratios and 95% confidence intervals were used to measure the effect. For all models, the criterion for a variable to be entered was a p value below 0.20 on bivariate analysis, with the exception of type of prostheses, which was included in all models since it was the principal factor under study. The significance level was set at 5% and data were analyzed using the program SPSS (Statistical Package for the Social Sciences) version 17.0.

Results

As illustrated in Figure 1, 247 (70.2%) of the patients were given mechanical prosthesis and 105 (29.8%) had a bioprosthesis implanted (p ≤ 0.001). Figure 1 lists the characteristics of the patients selected for the study sample. Patients who were fitted with mechanical prostheses were younger, had higher body mass index and had a higher proportion of sinus rhythm on electrocardiogram (ECG) and of elective surgery than patients given biological replacement valves (P < 0.05). The remaining preoperative characteristics were similar across both groups (Table 1).
Table 1

Sample characterization

VariableSample (n = 352)Mechanical valve (n = 247)Biological valve (n = 105)p
Mean age ± SD52.3 ± 13.450.8 ± 12.555.8 ± 14.90.003
Age group - n (%)
≤ 50 years161 (45.7)118 (47.8)43 (41.0)< 0.001
51 - 60 years99 (28.1)77 (31.2)*22 (21.0)
61 - 70 years58 (16.5)38 (15.4)20 (19.0)
≥ 71 years34 (9.7)14 (5.7)20 (19.0)*
Gender - n (%)
Male165 (46.9)116 (47.0)49 (46.7)1.000
Female187 (53.1)131 (53.0)56 (53.3)
BMI (Kg/m2) - Mean ± SD24.4 ± 4.324.8 ± 4.523.4 ± 3.80.003
Obesity** - n (%)33 (9.4)27 (10.9)6 (5.7)0.181
Morbid obesity*** - n (%)1 (0.3)1 (0.4)0 (0.0)1.000
Functional class (NYHA) - n (%)
I-II203 (57.7)143 (57.9)60 (57.1)0.990
III-IV149 (42.3)104 (42.1)45 (42.9)
Pathology – n (%)0.719
Failure155 (44.0)104 (42.1)51 (48.6)
Stenosis83 (23.6)61 (24.7)22 (21.0)
DI with predominant stenosis84 (23.9)60 (24.3)24 (22.9)
DI with predominant failure30 (8.5)22 (8.9)8 (7.6)
Rhythm ECG – n (%)
Sinus147 (42.0)114 (46.3)*33 (31.7)
Atrial fibrillation198 (56.6)129 (52.4)69 (66.3)*0.039
Others5 (1.4)3 (1.2)2 (1.9)
Chronic atrial fibrillation - n (%)169 (48.0)112 (45.3)57 (54.3)0.156
Diabetes mellitus - n (%)25 (7.1)18 (7.3)7 (6.7)1.000
COPD - n (%)56 (15.9)39 (15.8)17 (16.2)1.000
Stroke - n (%)24 (6.8)17 (6.9)7 (6.7)1.000
SAH - n (%)144 (40.9)105 (42.5)39 (37.1)0.413
Creatinine > 2 mg/dl – n (%)17 (4.8)9 (3.6)8 (7.6)0.187
Dialysis - n (%)3 (0.9)1 (0.4)2 (1.9)0.213
Emergency surgery - n (%)22 (6.3)10 (4.0)12 (11.4)0.017
Endocarditis - n (%)36 (10.2)22 (8.9)14 (13.3)0.288
Rheumatic fever - n (%)153 (43.5)112 (45.3)41 (39.0)0.331

SD, standard deviation; BMI, body mass index; NYHA, New York Heart Association class; DI, double injury, ECG, electrocardiogram; COPD, chronic obstructive pulmonary disease; SAH, systemic arterial hypertension.

*Statistically significant association by the adjusted residuals test at 5% significance.

**BMI ≥ 30 kg/m2; ***BMI ≥ 40 kg/m2.

Sample characterization SD, standard deviation; BMI, body mass index; NYHA, New York Heart Association class; DI, double injury, ECG, electrocardiogram; COPD, chronic obstructive pulmonary disease; SAH, systemic arterial hypertension. *Statistically significant association by the adjusted residuals test at 5% significance. **BMI ≥ 30 kg/m2; ***BMI ≥ 40 kg/m2. The patients who underwent bioprosthesis implantation experienced a significantly longer surgical time (<0.001) (Table 2).
Table 2

Surgery

VariablesnTotal sampleMechanical valve (n = 247)Biological valve (n = 105)p
Total surgical time (min) - mean ± SD348183.2 ± 61.2175.5 ± 60.0*202.5 ± 60.5< 0.001
ECC time (min) - mean ± SD35276.5 ± 33.275.4 ± 34.779.2 ± 29.40.322
ECC > 120 min - n (%)35235 (9.9)20 (8.1)15 (14.3)0.114
Ischemia time (min) - mean ± SD35057.6 ± 25.457.2 ± 24.758.4 ± 27.0**0.691

SD, standard deviation; ECC, extracorporeal circulation; min, minutes.

*n = 243; **n = 103.

Surgery SD, standard deviation; ECC, extracorporeal circulation; min, minutes. *n = 243; **n = 103. In-hospital outcomes broke down as follows: bioprosthesis patients spent longer in hospital (p < 0.001), spent longer on mechanical ventilation (p < 0.001) and spent longer periods in the intensive care unit (ICU) (p = 0.009), when compared with mechanical prosthesis patients, as shown in Table 3. There were no statistically significant differences between groups for prolonged mechanical ventilation (more than 5 days), acute myocardial infarction, cerebral vascular accident, arrhythmia requiring cardioversion or defibrillation, dialysis, reoperation due to bleeding, cardiac tamponade or total, permanent atrioventricular block (p > 0.05). Time on extracorporeal circulation and with the aorta clamped were similar for both groups (p > 0.05).
Table 3

Postoperative outcomes

VariableSample (n = 352)Mechanical prosthesis (n = 247)Biological prosthesis (n = 105)p
Hospitalization time (days) - median (P25–P75)13 (10–20)12 (9–18)17 (13–27)< 0.001
ICU time (days) - median (P25–P75)3 (2.8–4)3 (2.8–3.8)3.3 (2.9–4.2)0.009
PO hospitalization time (days) - median (P25–P75)8 (7–11)8 (7–10)10 (8–14)< 0.001
Mechanical ventilation time (h) - median (P25–P75)15 (9–20)14 (8–20)17 (12–24)< 0.001
Mechanical ventilation > 5 days - n (%)7 (2.0)4 (1.6)3 (2.9)0.431
AMI - n (%)3 (0.9)2 (0.8)1 (1.0)1.000
Stroke - n (%)7 (2.0)5 (2.0)2 (1.9)1.000
Arrhythmia requiring cardioversion - n (%)13 (3.7)7 (2.8)6 (5.7)0.219
Dialysis2 (0.6)0 (0.0)2 (1.9)0.088
Reoperation due to bleeding - n (%)15 (4.3)10 (4.0)5 (4.8)0.776
Cardiac tamponade - n (%)10 (2.8)7 (2.8)3 (2.9)1.000
Permanent TAVB4 (1.1)2 (0.8)2 (1.9)0.586

P25 = 25th Percentile; P75 = 75th Percentile; ICU, intensive care unit; PO, postoperative; AMI, acute myocardial infarction; TAVB, total atrioventricular block.

Postoperative outcomes P25 = 25th Percentile; P75 = 75th Percentile; ICU, intensive care unit; PO, postoperative; AMI, acute myocardial infarction; TAVB, total atrioventricular block.

Survival data

The long-term survival rates of the patients in this study are illustrated in Figure 2. The 5, 10, 15 and 20 year survival rates after valve replacement surgery by a mechanical substitute were 87.7% (CI: 83.6-91.8), 74.2% (CI: 67.3-81.1), 69.3% (CI: 61.3-77.3) and 69.3% (CI: 61.3-77.3), respectively. For the patients who received a biological substitute, the survival rates were 87.6% (CI: 81.3-93.9), 71.0% (CI: 62.0-80.0), 64.2% (CI: 54.6-73.8) and 56.6% (CI: 45.0-68.2), respectively. Thus, there was no significant difference in the survival of the patients between the two groups (p = 0.386) throughout the follow-up period.
Figure 2

Cumulative probability to survival based on the type of valve prosthesis. Kaplan-Meier curve to assess the cumulative probability to survival based on the type on the valve prosthesis.

Cumulative probability to survival based on the type of valve prosthesis. Kaplan-Meier curve to assess the cumulative probability to survival based on the type on the valve prosthesis. The multivariate Cox regression analysis demonstrated no association between the type of valve and death (p = 0.855), as shown in Table 4. The factors statistically associated with the death outcome were age over 60 years (61–70: Harzard ratio [HR] = 1.98; 95% Confidence Interval [CI]: 1.11–3.56; ≥71 years: HR = 2.96; 95% CI: 1.54–5.71), renal failure (HR = 4.41; 95% CI: 2.36–8.25) and bleeding events (HR = 3.13; 95% CI: 1.68–5.80).
Table 4

Predictors of death by Cox regression analysis

VariableHR (95% CI)p
Mechanical prosthesis0.96 (0.61-1.50)0.855
Renal failure 4.41 (2.36-8.25) < 0.001
Bleeding events 3.13 (1.68-5.80) < 0.001
Age group
≤ 50 years1.0
51–60 years1.39 (0.82-2.38)0.224
61–70 years 1.98 (1.11-3.56) 0.022
≥ 71 years 2.96 (1.54-5.71) 0.001
Mitral regurgitation1.49 (0.97-2.29)0.069
SAH1.45 (0.95-2.23)0.088
Chronic atrial fibrillation1.46 (0.91-2.33)0.114
Emergency surgery1.69 (0.82-3.47)0.153
Diabetes mellitus1.62 (0.82-3.19)0.163
Ischemia time1.01 (0.99-1.01)0.180
ICU time (h)1.00 (0.99-1.00)0.492
Hospitalization time1.01 (0.99-1.02)0.501
MV time (h)1.00 (1.00-1.01)0.589
Diameter1.03 (0.92-1.15)0.654
CHF class III and IV1.10 (0.70-1.75)0.675
Postoperative stroke1.36 (0.31-5.99)0.681
COPD0.91 (0.48-1.70)0.759
ECC time > 120 min1.11 (0.40-3.10)0.843
Rheumatic fever1.02 (0.60-1.71)0.949

HR, hazard ratio; 95% CI = 95% confidence interval; BMI, body mass index;

ECC, extracorporeal circulation; ICU, intensive care unit; MV, mechanical ventilation; CHF, congestive heart failure; AMI, acute myocardial infarction; COPD, chronic obstructive pulmonary disease; SAH, systemic arterial hypertension.

Significant results (p < 0.005) are highlighted in bold.

Predictors of death by Cox regression analysis HR, hazard ratio; 95% CI = 95% confidence interval; BMI, body mass index; ECC, extracorporeal circulation; ICU, intensive care unit; MV, mechanical ventilation; CHF, congestive heart failure; AMI, acute myocardial infarction; COPD, chronic obstructive pulmonary disease; SAH, systemic arterial hypertension. Significant results (p < 0.005) are highlighted in bold. As the groups differed significantly for age, body mass index (BMI, Kg/m2), electrocardiogram (ECG) rhythm and emergency surgery, a propensity score was added to the model to minimize confounding biases into the study. Even after adjusting for propensity score, there was no modification of the results obtained by Cox regression. The risk of death for mechanical prosthesis was very similar when adjusted for propensity score, with HR = 0.97 (95% CI: 0.62-1.53, p = 0.93). A significantly higher incidence of reoperation for valve replacement (p = 0.008) and death (p = 0.003) was found in patients who underwent biological valve replacement (Table 5).
Table 5

Outcomes in the cohort during the follow-up period of up to 23 years

VariableSample (n = 352) n (%)Mechanical prosthesis (n = 247) n (%)Biological prosthesis (n = 105) n (%)p
Reoperation for valve replacement33 (9.4)16 (6.5)17 (16.2)0.008
Bleeding events23 (6.5)18 (7.3)5 (4.8)0.521
Thromboembolic events7 (2.0)5 (2.0)2 (1.9)1.000
Total number of deaths91 (25.9)52 (21.1)39 (37.1)0.003
Perioperative death21 (6.0)10 (4.0)11 (10.5)0.037
ICU*9 (2.6)4 (1.6)5 (4.8)0.133
Hospital*11 (3.1)5 (2.0)6 (5.7)0.092
Others**70 (19.9)42 (17.0)28 (26.7)0.053

ICU, intensive care unit; *none exceeded the perioperative period; **deaths after 30 days of hospitalization.

A significantly higher incidence of reoperation for valve replacement (p = 0.008) and death (p = 0.003) was found in patients who underwent biological valve replacement (Table 5).

Outcomes in the cohort during the follow-up period of up to 23 years ICU, intensive care unit; *none exceeded the perioperative period; **deaths after 30 days of hospitalization. A significantly higher incidence of reoperation for valve replacement (p = 0.008) and death (p = 0.003) was found in patients who underwent biological valve replacement (Table 5). There was no significant difference between the groups regarding the cause of death (p = 1.000). The most frequent cause was non-cardiac (39.6%), followed by prosthesis-related causes (35.2%), as shown in Table 6.
Table 6

Causes of death

Cause of death *Sample (n = 91) n (%)Mechanical prosthesis (n = 52) n (%)Biological prosthesis (n = 39) n (%)p
Prosthesis-related32 (35.2)18 (34.6)14 (35.9)1.000
Others59 (64.8)34 (65.4)25 (64.1)1.000
Cardiac21 (23.1)12 (23.1)9 (23.1)1.000
Non-cardiac36 (39.6)21 (40.4)15 (38.5)1.000
Sudden or unexplained2 (2.2)1 (1.9)1 (2.6)1.000

*Deaths represent 25.9% (n = 91) of the samples.

Figure 3 illustrates the probability of long-term survival free from reoperation for the study patients. The probabilities of survival free from reoperation at 5, 10, 15 and 20 years after surgery for valve replacement with a mechanical prosthesis were 94.4% (CI: 91.5-97.3), 92.7% (CI: 89.2-96.2), 92.7% (CI: 89.2-96.2) and 92.7% (CI: 89.2-96.2) respectively and the figures for biological valves were 95.9% (CI: 92.0-99.8), 86.4% (CI: 79.1-93.7), 81.2% (CI: 72.4-90.0) and 76.5% (CI: 66.1-86.9) respectively. Patients with biological replacement valves tended to have a greater probability of reoperation, particularly after the first 10 years’ follow-up (p = 0.073).
Figure 3

Cumulative probability of reoperation. Kaplan-Meier curve to assess the cumulative probability of reoperation-free time according to the type of valve prosthesis.

Causes of death *Deaths represent 25.9% (n = 91) of the samples. Cumulative probability of reoperation. Kaplan-Meier curve to assess the cumulative probability of reoperation-free time according to the type of valve prosthesis. As shown in Table 7, after adjustment by Cox multivariate regression, type of valve continued not to exhibit any association with reoperation (p = 0.075). Factors that did remain statistically associated with reoperation after multivariate analysis were male sex (HR = 2.50; 95% CI: 1.20-5.35), diameter of prosthesis (HR = 0.82; 95% CI: 0.69-0.97); and endocarditis (HR = 2.44; 95% CI: 1.04-5.70).
Table 7

Predictors of reoperation by Cox regression analysis

VariableHR (95% CI)p
Biological prosthesis1.89 (0.94-3.82)0.075
Male gender 2.54 (1.20-5.35) 0.015
Valve prosthesis diameter 0.82 (0.69-0.97) 0.019
Endocarditis 2.44 (1.04-5.70) 0.040
Arrhythmia2.92 (0.86-9.89)0.085
Emergency surgery1.98 (0.71-5.56)0.192
RF1.12 (0.24-5.29)0.885

HR: hazard ratio; 95% CI = 95% confidence interval; RF = renal failure.

Significant results (p < 0.005) are highlighted in bold.

Predictors of reoperation by Cox regression analysis HR: hazard ratio; 95% CI = 95% confidence interval; RF = renal failure. Significant results (p < 0.005) are highlighted in bold. After adjustment by propensity score, the use of biological prostheses showed an HR = 1.68 (95% CI: 0.82-3.45, p = 0.155), and did not modify the results obtained by Cox regression. Figure 4 illustrates the probability of long-term survival free from bleeding events, by type of prosthesis. The probabilities of survival free from bleeding events at 5, 10, 15 and 20 years after surgery for valve replacement with a mechanical prosthesis were 95.0% (CI: 92.3-97.7), 91.0% (CI: 86.5-95.5), 89.6% (CI: 84.5-94.7) and 89.6% (CI: 84.5-94.7) respectively and for patients with biological replacements the figures were 96.9% (CI: 93.6-100), 94.0% (CI: 88.7-99.3), 94.0% (CI: 88.7-99.3) and 94.0 (CI: 88.7-99.3) respectively. There was no statistically significant difference between the 2 groups (p = 0.267).
Figure 4

Cumulative time free of bleeding events. Kaplan-Meier curve to assess the cumulative of time free of bleeding events according to the type of valve prosthesis.

Cumulative time free of bleeding events. Kaplan-Meier curve to assess the cumulative of time free of bleeding events according to the type of valve prosthesis. As shown in Table 8, after adjustment by Cox multivariate regression, type of valve continued not to exhibit any association with the incidence of bleeding events (p = 0.213). Factors that did remain statistically associated with occurrence of bleeding events after multivariate analysis were body mass index ≥ 30 kg/m2 (HR = 4.41; 95% CI: 1.66-11.8), chronic obstructive pulmonary disease (HR = 2.87; 95% CI: 1.19-6.91), more than 5 days on mechanical ventilation in the ICU (HR = 5.34; 95% CI: 1.13-25.4) and mitral insufficiency (HR = 2.56; 95% CI: 1.05-6.25).
Table 8

Predictors of bleeding events by Cox regression analysis

VariableHR (95% CI)P
Mechanical prosthesis1.90 (0.69–5.18)0.213
BMI ≥ 30 kg/m 2 4.41 (1.66–11.8) 0.003
COPD 2.87 (1.19–6.91) 0.019
MV > 5 days 5.34 (1.13–25.4) 0.035
Mitral regurgitation 2.56 (1.05–6.25) 0.040
SAH2.31 (0.96–5.56)0.062
Ischemia time1.01 (0.99–1.02)0.131
Diabetes mellitus1.74 (0.48–6.36)0.404
Hospitalization time1.01 (0.98–1.03)0.740
Rheumatic fever1.15 (0.41–3.27)0.790
RF1.28 (0.14–11.4)0.828

HR: hazard ratio; 95% CI = 95% confidence interval; BMI = body mass index; SAH = systemic arterial hypertension; COPD = chronic obstructive pulmonary disease; MV = mechanical ventilation; RF = renal failure.

Significant results (p<0.005) are highlighted in bold.

Predictors of bleeding events by Cox regression analysis HR: hazard ratio; 95% CI = 95% confidence interval; BMI = body mass index; SAH = systemic arterial hypertension; COPD = chronic obstructive pulmonary disease; MV = mechanical ventilation; RF = renal failure. Significant results (p<0.005) are highlighted in bold. Considering the presence of bleeding events stratified by age groups, no significant difference were found between groups in years: <60, 60–65, 65–70, 70–75, 75–80, and >80, with p = 0.895, being <60 = 6%, 60-65 = 8.3%, 65-70 = 10.3%, 70-75 = 7.7%, 75-80 = 0.0, >80 = 0. When adjusted for propensity score, no significant change was obtained in the values of the risk measure HR = 2.3 (95% CI: 0.76-5.96, p = 0.149).

Discussion

Mortality

The actuarial mortality rate observed in this cohort was 25.9%, and there was no difference between the groups that received the mechanical and biological prostheses throughout the follow-up time (p = 0.386) (Figure 2). This result may have occurred due to the increased risk related to anticoagulation in patients who received the mechanical prostheses being partially offset by the increased risk of reoperation in patients who received the biological prostheses. Hammermeister et al. [8, 13, 14] observed even higher numbers of deaths in a prospective randomized clinical trial comparing porcine prostheses with mechanical prostheses in 181 patients subjected to mitral valve replacement over an 18 year follow-up period, reporting total mortality of 30%, with 22% related to mechanical prostheses and 16% related to bioprostheses. Five year survival was 58 ± 6% and 70 ± 5% for patients with mechanical and biological prostheses respectively. The elevated number of deaths was probably the result of the fact that these implants were fitted between 1970 and 1980. Many of the deaths of bioprostheses patients happened more than 10 years after surgery and can be attributed to primary prosthesis dysfunction, with or without reintervention. The authors concluded that survival rates were similar for bioprostheses and mechanical prosthesis patients over a mean of eight years. Our findings are also in agreement with survival results of a randomized clinical trial conducted in Edinburgh by Oxeham and colleagues [17], who compared the outcomes of 261 patients who had had mitral valves replaced with either a mechanical (n = 129) or porcine prosthesis between 1975 and 1979 with a 20-year follow-up period. They found that there was an advantage in terms of survival from 10 years onwards for mechanical prosthesis patients, but that this advantage disappeared by 20 years' follow-up (p < 0.0001). In a similar vein to this study, these authors found that survival rates at 10 and 20 years after valve replacement surgery to fit a mechanical prostheses were 52.7% and 22.4% while for biological prostheses they were 46.5% and 18.4% respectively, which did not attain statistical significance (p = 0.41). Advanced age has also been identified as a predictive factor in other cohorts that have been studied, including a prospective multicenter cohort study conducted from January to December of 2001 at eight hospitals in the north of the United States. They reviewed 3150 cases of mitral valve surgery including 1688 patients, with a mean age of 66.7, who were given replacement valves (53.6%), observing 12% mortality [18]. In addition to age, a further nine variables were also associated with death after mitral surgery: female sex, diabetes, coronary disease, prior cerebral vascular accident, elevated creatinine (≥1.3 mg/dl), New York Heart Association (NYHA) class IV, heart failure, valve replacement rather than valvuloplasty and emergency surgery. Likewise, Ruel et al. [19] compared mortality rates for 214 patients younger than 60 years who had surgery for mitral valve replacement with mechanical or biological substitutes between 1969 and 2004, with up to a 35 year postoperative follow-up period (mean survival 24 ± 3.1 years). There was no difference in survival between groups, with rates of 51.4 ± 4.4% and 33.8 ± 5.3% for 20 and 25 years respectively after bioprosthesis implantation and 43.2 ± 5.7% and 40.8 ± 5.9% respectively for mechanical valves. Age group, as observed in this study, was also predictor factor for death. In a 20-year follow-up cohort study, Khan et al. [20] compared outcomes for 513 patients with mechanical mitral prostheses with 402 given bioprostheses. Mechanical prostheses were preferred for younger patients (p = 0.0001). The same study found no significant difference in survival between prosthesis groups using multivariate analysis. Advanced age was once more a predictor of mortality, as in the cohort described here. Jamieson et al. [21] found that freedom from prosthesis-related mortality rates were only better than rates for biological replacements in the age group from 51 to 60, with 75.4 ± 8.3% survival for bioprostheses and 87.5 ± 8.7% for mechanical valves, while for patients over 70 rates were similar. The predictors factors for mortality were age, male sex, bioprosthesis, diameter of prosthesis and concurrent revascularization surgery. In the present study, type of prosthesis was not a significant predictor factor of death, with p = 0.461. After multivariate analysis, Kim and colleagues [22] also identified age group as an independent risk factor for death, echoing Kulik et al. [23], Khan et al. [20], Yau et al. [24] and Jamienson et al. [25]. Some studies attempted to perform risk stratification in heart surgery; however, there are several variables that affect such classification [25-27], such as pulmonary hypertension, functional class, emergency surgery, type of prosthesis, atrial fibrillation, multiple surgeries, renal failure, peripheral vascular disease, non-rheumatic diseases, small body surface and prosthesis-patient mismatch.

Bleeding events

In the sample described here, 6.5% of cases involved major bleeding events (n = 23) and the majority of these were associated with mechanical prostheses (p = 0.521), with a statistically significant difference. This may be due to the low number of events, to well-controlled anticoagulation of patients given mechanical replacement valves or to anticoagulation prescribed for other indications over the course of the follow-up period. Some studies associated mechanical prostheses with bleeding events, as an independent risk factor, due to the need for anticoagulation. The study conducted by Khan and colleagues [20] reported a 2.1% bleeding event rate for patients with mitral mechanical prostheses, compared with 1.1% for bioprostheses, with a frequency of occurrence over 15 years that was similar for both groups (86% for bioprostheses and 85% for mechanical valves), as observed in the present cohort. Kulik et al. [23] observed differences in their cohort in terms of bleeding events and found that fitting a mechanical prosthesis was an independent factor for bleeding events (p = 0.02), which was not observed in this study. In the present sample, 4.8% of the patients presented with renal failure. In a cohort of dialysis patients, Umezu et al. [27] identified bleeding events in 29.7% of the cases, which was a much higher percentage than those found in the current sample. The authors also observed a higher incidence of bleeding events in patients with mechanical valve replacements compared with biological valve replacements, which was not seen in the present cohort.

Reoperation

Most of the publications available in the literature demonstrated that the risk of reoperation begins to increase 10 years after valve replacement surgery, most likely due to prosthesis dysfunction. This risk increases progressively over time and decreases with increasing age [17, 19]. In the present study, a trend towards reoperation was observed after 10 years of follow-up (p = 0.073). The factors related to reoperation found in the current study were male gender, prosthesis diameter and endocarditis. In a randomized trial by Oxeham (Edinburgh Trial) [2], reoperation was more frequent in the group of patients who underwent bioprosthesis implantation compared to mechanical prosthesis implantation (p < 0.001). In a clinical trial by Hammermeister et al. [13, 14], there was no significant difference in the probability of reoperation between the two types of prostheses (p = 0.23). In addition, in a review study, Rahimtoola [9] concluded that the major disadvantage of using a bioprosthesis is the higher incidence of reoperation, which can result in a higher mortality rate. Endocarditis was also a predictor for reoperation in a study by Yau et al. [24], with HR = 8.93; 95% CI: 1.16–68.7; p = 0.04. The 1062-patient cohort followed by Ruel et al. [26] had rates of survival free from reoperation after replacement with mechanical valves of 96.4%, 94.8% and 94.2% for 10, 15 and 20 years after surgery, respectively, similar to the data from the present cohort. For bioprostheses, survival free from reoperation rates were 79.8%, 63.3% and 57.6% (p < 0.001). Advanced age was a protective factor against reoperation due to structural mitral bioprosthesis dysfunction (HR = 0.98; p ≤ 0.001), which can be attributed to reduced deterioration of the prosthesis in older patients. Jamieson et al. [21] assessed over a 15 year period the performance of 959 biological valve prostheses implanted in 943 patients and 961 mechanical prostheses implanted in 839 patients in the mitral position. The reoperation rate per year for mechanical prostheses was 0.5 events per 100 patients, and for biological prostheses, it was 3.7 events per 100 patients. The predictors for reoperation were age (n = 240, mean 56.0 ± 12.9 years, HR = 0.98, 95% CI 0.97–0.99) and the type of prosthesis, where a frequency of 2.7% was found for mechanical valves (n = 26) and a frequency of 22.2% was found for bioprostheses (n = 214, p = 0.001, HR = 0.19; 95% CI: 0.13–0.29, p < 0.001). Hammermeister et al. [14], Ruel et al. [19], Khan et al. [20], Jamienson and cols [21], as in this present study, in the first five years was the higher incidence from free of deaths, valve-related reoperation and bleeding.

Study limitations

This is a retrospective and observational study, and it is subject to bias and confounding factors that cannot be measured. In addition, it was conducted in a single center and exhibited an insufficient sample size for identifying rare events.

Conclusions

The choice of replacement valve type remains a decision that should be taken by physician and patient in conjunction and must be individualized, taking into consideration the risks of reoperation and of chronic anticoagulation and their consequences, plus the comorbidities, life expectancy and characteristics of the patient and their lifestyle, in order to increase life expectancy and quality of life. Studies with long-term follow-up that can help in this choice are therefore relevant. Although the incidence of death and reoperation were significantly higher in patients who underwent valve replacement with a biological substitute, the findings in this cohort demonstrated that the type of prosthesis was not an independent predictor associated with any of the clinical outcomes assessed, death, bleeding events and reoperation, using multivariate regression analysis. The mortality data obtained in this study were in agreement with the current literature, with 5, 10, 15 and 20 year survival rates similar in the two groups. Some of the results found in this study, such as the predictors found in the multivariate analysis, were also reported in the literature, while others need to be further studied to clarify their importance.
  25 in total

1.  Outcomes 15 years after valve replacement with a mechanical versus a bioprosthetic valve: final report of the Veterans Affairs randomized trial.

Authors:  K Hammermeister; G K Sethi; W G Henderson; F L Grover; C Oprian; S H Rahimtoola
Journal:  J Am Coll Cardiol       Date:  2000-10       Impact factor: 24.094

2.  Quality of valve prostheses: are we treating our patients well in the Brazilian National Health System?

Authors:  Walter J Gomes
Journal:  Rev Bras Cir Cardiovasc       Date:  2011 Jul-Sep

3.  ACC/AHA 2006 guidelines for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (writing Committee to Revise the 1998 guidelines for the management of patients with valvular heart disease) developed in collaboration with the Society of Cardiovascular Anesthesiologists endorsed by the Society for Cardiovascular Angiography and Interventions and the Society of Thoracic Surgeons.

Authors:  Robert O Bonow; Blase A Carabello; Kanu Chatterjee; Antonio C de Leon; David P Faxon; Michael D Freed; William H Gaasch; Bruce Whitney Lytle; Rick A Nishimura; Patrick T O'Gara; Robert A O'Rourke; Catherine M Otto; Pravin M Shah; Jack S Shanewise; Sidney C Smith; Alice K Jacobs; Cynthia D Adams; Jeffrey L Anderson; Elliott M Antman; Valentin Fuster; Jonathan L Halperin; Loren F Hiratzka; Sharon A Hunt; Bruce W Lytle; Rick Nishimura; Richard L Page; Barbara Riegel
Journal:  J Am Coll Cardiol       Date:  2006-08-01       Impact factor: 24.094

4.  Mitral valve repair and replacement for rheumatic disease.

Authors:  T M Yau; Y A El-Ghoneimi; S Armstrong; J Ivanov; T E David
Journal:  J Thorac Cardiovasc Surg       Date:  2000-01       Impact factor: 5.209

5.  Comparison of outcome after valve replacement with a bioprosthesis versus a mechanical prosthesis: initial 5 year results of a randomized trial.

Authors:  K E Hammermeister; W G Henderson; C M Burchfiel; G K Sethi; J Souchek; C Oprian; A B Cantor; E Folland; S Khuri; S Rahimtoola
Journal:  J Am Coll Cardiol       Date:  1987-10       Impact factor: 24.094

6.  Mechanical or bioprosthetic valves in the elderly: a 20-year comparison.

Authors:  P Sidhu; H O'Kane; N Ali; D J Gladstone; M A Sarsam; G Campalani; S W MacGowan
Journal:  Ann Thorac Surg       Date:  2001-05       Impact factor: 4.330

7.  A comparison of outcomes in men 11 years after heart-valve replacement with a mechanical valve or bioprosthesis. Veterans Affairs Cooperative Study on Valvular Heart Disease.

Authors:  K E Hammermeister; G K Sethi; W G Henderson; C Oprian; T Kim; S Rahimtoola
Journal:  N Engl J Med       Date:  1993-05-06       Impact factor: 91.245

8.  Durability of bioprosthetic cardiac valves.

Authors:  Grischa Hoffmann; Georg Lutter; Jochen Cremer
Journal:  Dtsch Arztebl Int       Date:  2008-02-22       Impact factor: 5.594

9.  Twenty year comparison of a Bjork-Shiley mechanical heart valve with porcine bioprostheses.

Authors:  H Oxenham; P Bloomfield; D J Wheatley; R J Lee; J Cunningham; R J Prescott; H C Miller
Journal:  Heart       Date:  2003-07       Impact factor: 5.994

10.  Long-term outcomes after surgery for rheumatic mitral valve disease: valve repair versus mechanical valve replacement.

Authors:  Joon Bum Kim; Hee Jung Kim; Duk Hwan Moon; Sung Ho Jung; Suk Jung Choo; Cheol Hyun Chung; Hyun Song; Jae Won Lee
Journal:  Eur J Cardiothorac Surg       Date:  2009-12-24       Impact factor: 4.191

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  11 in total

1.  Are anticoagulant independent mechanical valves within reach-fast prototype fabrication and in vitro testing of innovative bi-leaflet valve models.

Authors:  Lawrence N Scotten; Rolland Siegel
Journal:  Ann Transl Med       Date:  2015-08

2.  Tissue-Engineered Heart Valves: A Call for Mechanistic Studies.

Authors:  Kevin M Blum; Joseph D Drews; Christopher K Breuer
Journal:  Tissue Eng Part B Rev       Date:  2018-02-13       Impact factor: 6.389

Review 3.  Current state of transcatheter mitral valve implantation in bioprosthetic mitral valve and in mitral ring as a treatment approach for failed mitral prosthesis.

Authors:  Vratika Agarwal; Ryan K Kaple; Hetal H Mehta; Prabhjot Singh; Vinayak N Bapat
Journal:  Ann Cardiothorac Surg       Date:  2021-09

4.  A review of outcome following valve surgery for rheumatic heart disease in Australia.

Authors:  E Anne Russell; Lavinia Tran; Robert A Baker; Jayme S Bennetts; Alex Brown; Christopher M Reid; Robert Tam; Warren F Walsh; Graeme P Maguire
Journal:  BMC Cardiovasc Disord       Date:  2015-09-23       Impact factor: 2.298

5.  Anticoagulation Quality and Complications of using Vitamin K Antagonists in the Cardiac Surgery Outpatient Clinic.

Authors:  Mário Augusto Cray da Costa; Lucas Kraeski Krum; Juliana da Silva Geraldino; Marcelo Derbli Schafranski; Ricardo Zanetti Gomes; Elise Souza Dos Santos Reis
Journal:  Braz J Cardiovasc Surg       Date:  2016 May-Jun

6.  Trends, characteristics, in-hospital outcomes and mortality in surgical mitral valve replacement among patients with and without COPD in Spain (2001-2015).

Authors:  Javier de-Miguel-Díez; Ana López-de-Andrés; Valentín Hernández-Barrera; José M De Miguel-Yanes; Manuel Méndez-Bailón; Nuria Muñoz-Rivas; Rodrigo Jiménez-García
Journal:  PLoS One       Date:  2019-08-19       Impact factor: 3.240

7.  Impact of type 2 diabetes mellitus in the utilization and in-hospital outcomes of surgical mitral valve replacement in Spain (2001-2015).

Authors:  Ana López-de-Andrés; Javier de Miguel-Díez; Nuria Muñoz-Rivas; Valentín Hernández-Barrera; Manuel Méndez-Bailón; José M de Miguel-Yanes; Rodrigo Jiménez-García
Journal:  Cardiovasc Diabetol       Date:  2019-05-10       Impact factor: 9.951

Review 8.  The mechanisms, diagnosis and management of mitral regurgitation in mitral valve prolapse and hypertrophic cardiomyopathy.

Authors:  Mihaela Octavia Popa; Ana Maria Irimia; Mihai Nicolae Papagheorghe; Elena Miruna Vasile; Simona Andreea Tircol; Raluca Andreea Negulescu; Catalina Toader; Robert Adam; Lucian Dorobantu; Cristina Caldararu; Maria Alexandrescu; Sebastian Onciul
Journal:  Discoveries (Craiova)       Date:  2016-06-30

9.  Interdisciplinary Methods for Zoonotic Tissue Acellularization for Natural Heart Valve Substitute of Biomimetic Materials.

Authors:  Roman Major; Magdalena Kopernik; Roman Ostrowski; Piotr Wilczek; Amanda Bartkowiak; Karolina Szawiraacz; Grzegorz Lis; Janusz Lekki; Maciej Gawlikowski; Łukasz Major
Journal:  Materials (Basel)       Date:  2022-04-01       Impact factor: 3.623

Review 10.  Mechanical or biologic prostheses for mitral valve replacement: A systematic review and meta-analysis.

Authors:  Jun Yu; En Qiao; Wei Wang
Journal:  Clin Cardiol       Date:  2022-06-05       Impact factor: 3.287

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