Year : 2016  |  Volume : 19  |  Issue : 1  |  Page : 84--88

Patient prosthesis mismatch after aortic valve replacement: An Indian perspective

Shreedhar S Joshi, T Ashwini, Antony George, AM Jagadeesh 
 Department of Cardiac Anaesthesia, Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bengaluru, Karnataka, India

Correspondence Address:
Shreedhar S Joshi
Chief Consultant Cardiac Anaesthesia, Department of Cardiac Sciences, Nayati Healthcare Multi-Speciality Hospital and Research Centre, Mathure, Uttar Pradesh


Context: Perioperative period. Aims: Occurrence of PPM after AVR, factors associated with PPM, impact on mortality. Settings and Design: Teritary Care Referral Cardiac Centre. Materials and Methods: A retrospective analysis of AVR procedures at a single centre over 4 years was conducted. Demographic, echocardiographic and outcome data were collected from institute database. Rahimtoola criteria of indexed effective orifice area (iEOA) were used to stratify patients into PPM categories. Patients with and without PPM were compared for associated factors. Statistical Analysis Used: Independent t-test, chi-square test, logistic regression analysis, ROC-AUC, Youden index. Results: 606 patients with complete data were analysed for PPM. The incidence of mild, moderate and severe PPM was 6.1% (37), 2.5% (15) and 0.5% (3) respectively. There was no impact of PPM on all-cause in-hospital mortality. PPM was observed more with Aortic Stenosis (AS) compared to Aortic Regurgitation (AR) as etiology. Aortic annulus indexed to BSA (iAA) had a very good predictive ability for PPM at <16mm/m 2 BSA. Conclusions: PPM has lower incidence after AVR in this Indian population and does not increase early mortality. Patients with AS and iAA<16mm/m2BSA should be cautiously dealt with to prevent PPM.

How to cite this article:
Joshi SS, Ashwini T, George A, Jagadeesh A M. Patient prosthesis mismatch after aortic valve replacement: An Indian perspective.Ann Card Anaesth 2016;19:84-88

How to cite this URL:
Joshi SS, Ashwini T, George A, Jagadeesh A M. Patient prosthesis mismatch after aortic valve replacement: An Indian perspective. Ann Card Anaesth [serial online] 2016 [cited 2021 Sep 25 ];19:84-88
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Full Text


Patient prosthesis mismatch (PPM) was conceptualized in 1978 by Rahimtoola, who stated "Mismatch can be considered to be present when the effective orifice area (EOA), after insertion into the patient, is less than that of normal valve. Occasionally, it can be a severe problem because the patient may be hemodynamically and symptomatically worse after valve replacement." [1] It is unlikely that any prosthetic valve can achieve an area equal to that of native aortic valve of 3.5-4.5 cm 2 . The EOA is further reduced by endothelialization and tissue ingrowth in vivo. Hence, it is not the size of the prosthesis that matters, but rather it's EOA and in whom it's implanted. The PPM is an extremely important variable that predicts morbidity and mortality. [2]

Rao et al. demonstrated that indexed EOA calculated at the time of surgery was an independent predictor of postoperative mortality. Rahimtoola had hinted at the need for correction of EOA for body surface area (BSA) in his pioneer papers on PPM. Based on that, PPM is considered severe if iEOA <0.65 cm 2 /m 2 and mild if >0.85 cm 2 /m 2 . Review of literature reveals that the reports of occurrence, and factors predicting the outcomes of PPM, are mainly from Western countries. The published works on PPM in Indian population are surprisingly scant. [3],[4]

This study was carried out to determine the incidence of PPM and to identify the patient subgroups, which are prone to PPM after aortic valve replacement (AVR) and the factors contributing to it.


All isolated (AVR) procedures from Jan 2010 to Jan 2013 were enrolled for assessment of PPM. Demographic and echocardiographic data, valve sizes and types, and cardiopulmonary bypass (CPB) parameters were collected retrospectively from inpatient case files. All patients were classified as PPM using valve size, valve type, and EOA. Depending on the type and size of the valve and indexed EOAs (iEOA), the subjects were categorized into four groups, no PPM, mild PPM, moderate PPM and severe PPM as per Rahimahtoola criteria. [1] EOA for a particular valve type and size was determined by the standard reference charts which were then indexed for the given patient. [5] Patients were also divided into those with concentric hypertrophy and those with Eccentric hypertrophy based on their relative wall thickness (RWT) as derived by the formula,-relative wall thickness (RWT) = 2 PWT/LVIDd, PWT is the posterior wall thickness, and LVIDd is the left ventricular (LV) internal diameter at end diastole. [6],[7]

An increased RWT ≥0.42 suggests concentric hypertrophy, whereas a normal RWT <0.42 indicates the presence of eccentric hypertrophy. LV mass was derived from LVIDd, septal wall thickness (SWT) and PWT by the following formula, LV mass (grams) = 1.04 × ([LVIDd + SWTd + PWTd] 3 − LVIDd 3 ) × 0.8 + 0.6. [8] Postoperative echocardiographic data was collected from the echocardiography done at the time of discharge. Demographic data were analyzed for comparison between patients without PPM and PPM. A multivariate regression analysis was conducted to assess factors associated with PPM. Transvalvular aortic mean gradients >30 mHg were considered as significant aortic stenosis (AS). Patients were assorted into predominant AS and aortic regurgitation (AR). All-cause in-hospital mortality was defined as death in the hospital before discharge after AVR.

Data analysis

Continuous variables were described as mean with standard deviations and categorical variables as percentages. Independent t-test was used to compare means among continuous data, and Chi-square test was used to compare proportions among categorical data. Two-tailed P < 0.05 was considered as statistically significant. Multiple regression analysis by step-wise method was performed to study the effect of PPM on mortality adjusting for all possible confounding factors. The ability of indexed aortic annulus (IAA) to predict the occurrence of PPM in a patient was analyzed using receiver operating characteristics area under the curve (ROC-AUC). The criterion value corresponding with the Youden Index J was derived. Statistical analyses were conducted with SPSS version. 16.0 and MedCalc for Windows.


A total of 668 patients who had undergone isolated AVR were analyzed, of which, 62 patients were excluded due to lack of data about the type and size of the prosthetic valve, which were necessary for the calculation of iEOA. The incidence of PPM was 9.1% (55), whereas stratified mild, moderate, and severe PPM was 6.1% (37), 2.5% (15), and 0.5% (3), respectively. Demographic data of patients with PPM, without PPM and overall population are compared in [Table 1].{Table 1}

It was observed, that patients with PPM were older, had higher BSA, higher AS incidence and had smaller aortic annuli for their BSA (iAA) as compared to those without PPM. All-cause in-hospital mortality was not different between the PPM and without PPM groups.

In comparison to patients with predominant AR, predominant AS patients belonged to the older age group and were associated with, concentric hypertrophy, smaller iAA, and had the smaller aortic prosthetic valve replaced [Table 2]. Their preoperative LV mass and ejection fractions (EF) were comparable. LV regression of >150 g at the time of discharge was seen in more number of cases in AR. PPM was not associated with mortality on logistic regression analysis (P = 0.831).{Table 2}

On multivariate analysis for factors associated with PPM, predominance of AR versus AS (odds ratio [OR] 0.3, 95% confidence interval [CI] 0.0536-1.6795, P = 0.17), iAA (OR 0.5, CI 0.37-0.57, P < 0.0001) and prosthetic valve size (OR 0.8, CI 0.61-1.0097, P = 0.05) were statistically significant.

Based on these data, iAA was analyzed for its predictive ability for PPM with ROC-AUC analysis [Figure 1]. The AUC was observed to be 0.92 (CI 0.88-0.94, P < 0.0001). The Youden Index J (0.67) was observed at an associated criterion of iAA <16 mm/m 2 BSA (with sensitivity 90% and specificity 75%).{Figure 1}


The incidence of PPM in the present cohort was 9.1% with severe PPM only in 0.5% of cases. AR was associated with a significantly low incidence of PPM. iAA of <16 mm/m 2 BSA had a good predictive ability toward PPM.

There has been awareness on PPM as a clinical entity and its impact on short and long-term outcomes after AVR after Rahimatoola's first description of this entity. [1] The impact of PPM is huge. To enumerate a few, higher gradients, persistent LVH, decreased postoperative cardiac index, decreased the quality of life. Aortic root enlargement (ARE) procedures are used to prevent PPM in smaller aortic annuli. Most of these techniques demand skill and are associated with complications including longer CPB and cross-clamp times, increased rates of reoperations for bleeding, and increased operative mortality. [9],[10] Moreover, the risk-benefit ratio of ARE procedures to avoid PPM is unclear. [10]

The incidence of PPM in the present cohort is less than most other observations. [11] Aortic annulus diameters are an essential factor for PPM occurrence. The need to index aortic annulus to BSA is essential due to the obvious differences in anthropometry of subjects of across varied origins. iAA was observed to be different for western reference subjects to Indian subjects as studied by Rajendran et al. [12] The average aortic annulus indexed to BSA in the present our study (18.4 mm at 1.29 BSA) was comparable to their observation (18.1 mm at 1.21-1.3 BSA). [12] The paucity of iAA dimensions in most studies hampers comparison of PPM between them and the present cohort. We believe an adequately sized aortic annulus for a given BSA (18.14 ± 4.9 m 2 ) in the present cohort could explain a lower incidence of PPM. [11],[13] Patients with PPM had higher BSA (1.77 ± 0.33 m 2 ) and smaller iAA (12.63 ± 2.2 mm). Incidence of PPM was higher in AS subgroup as compared to AR subgroup (11.9% vs. 1.8%, P < 0.0001), which could be explained by the differences in their iAA (17.2 ± 3.93 mm vs.

20.6 ± 6.4 mm, P < 0.001). This finding is also substantiated by the AVR prosthetic valve sizes (22.74 ± 2.07 mm in AR vs. 20.8 ± 1.99 mm in AS, P < 0.001). Price et al. studied 98 patients with AR in comparison with AS or mixed lesions for the incidence of PPM. [14] PPM was 50% less in AR compared to AS/mixed lesions. They hypothesized the lower incidence to larger annuli in AR as compared to AS. Moreover, most AR cases in their cohort were nonrheumatic in origin.

Pibarot et al. have discussed in detail the long and short-term impact of PPM after AVR. [15],[16] The impact of PPM on early mortality has been studied by many authors with equivocal results. [2],[17],[18],[19],[20],[21],[22]

In this study, there has been no association of PPM with early (all-cause in-hospital mortality). Urso et al. in their meta-analysis highlighted that only severe PPM was associated with an increased early mortality. [22] They also highlighted an absence of association between moderate or mild PPM with early mortality except in patients with poor EF. The lower incidence of severe PPM in the present study could have led to a lack of association on early mortality. Decreased LV regression resulting in persistence of symptoms after AVR is associated with PPM. LV regression of more than 150 g at the time of discharge has been associated with improved long-term outcome as compared to <150 g regression. [23] In this study, a higher percentage of patients without PPM had significant LV regression (15% no PPM vs. 9% in PPM, P = 0.231).

Predominant AS, small iAA and smaller prosthetic valve size were associated with increased incidence of PPM. These observations suggest a cautious approach to valve type and size selection preoperatively in patients with these risk factors. Furthermore, iAA of <16 mm/m 2 BSA has a very good predictive ability for PPM. Indexing aortic annulus to BSA may be a more rational approach than considering only aortic annulus size before deciding on ARE procedures. Further studies should consider the use of aortic annulus indexed to BSA when assessing occurrence and prevention of PPM.

This study highlights the low incidence of PPM in an Indian population. The importance of iAA in relation to PPM and also the caution of the high incidence of PPM at iAA of <16 mm/m 2 BSA.

Despite being first of its kind analysis in Indian population, it is a retrospective analysis and limitations of bias inherent to such analyses exist. iEOA based on continuity equation at later follow-up would be the ideal method as suggested by rahimatoola. [24] The pitfalls associated with the evaluation of iEOA by continuity equation are in measuring the LV outflow tract dimension due to the reverberations of the prosthetic valves, pressure recovery in the aorta and complex relationship of mean gradients across the prosthetic valve. These pitfalls may make this method questionable for routine use. Impact of PPM on long-term mortality was not studied.


PPM exists but with a lower incidence and had no impact on early mortality. PPM was more common with AVR for AS than AR. Aortic annulus indexed to BSA is an important indicator of PPM with the high prediction of PPM at <16 mm/m 2 BSA.

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Conflicts of interest

There are no conflicts of interest.


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