| Literature DB >> 26544600 |
Kevser Gülcihan Balcı1, Mustafa Mücahit Balcı, Orhan Maden, Fatih Şen, Mehmet Kadri Akboga, Burak Açar, Meryem Kara, Sadık Kadri Açıkgöz, Hatice Selcuk, Mehmet Timur Selcuk.
Abstract
OBJECTIVE: The aim of this study was to determine whether the Macruz index (P/P-R segment) could predict the severity of valvular involvement and the success of percutaneous mitral balloon valvuloplasty (PMBV) in patients with mitral stenosis (MS). SUBJECTS AND METHODS: Sixty-one patients with MS eligible for PMBV and 72 healthy subjects (61 females and 11 males) with sinus rhythm were enrolled into this study. PMBV was performed in all patients using a percutaneous transseptal antegrade approach and a multitrack balloon technique. The P/P-R segment ratio and echocardiographic variables were measured before and 48-72 h after the procedure. The optimal cutoff point for differences in the Macruz index to determine clinical success was evaluated by receiver operating characteristic analysis by calculating the area under the curve as giving the maximum sum of sensitivity and specificity for the significant test.Entities:
Mesh:
Year: 2015 PMID: 26544600 PMCID: PMC5588346 DOI: 10.1159/000442201
Source DB: PubMed Journal: Med Princ Pract ISSN: 1011-7571 Impact factor: 1.927
Baseline clinical characteristics of the patients with MS and the control group
| Variables | Patient group (n = 61) | Control group (n = 72) | p values |
|---|---|---|---|
| Age, years | 42.9 ± 11.1 | 40.4 ± 8.6 | 0.704 |
| Male | 8 (13.1%) | 11 (15.3%) | 0.830 |
| Female | 53 (86.9%) | 61 (84.7%) | |
| Body surface area, m2 | 1.75 ± 0.16 | 1.74 ± 0.22 | 0.410 |
| Systolic blood pressure, mm Hg | 98.5 ± 10.0 | 100 ± 9.7 | 0.502 |
| Diastolic blood pressure, mm Hg | 62.1 ± 6.8 | 60 ± 7.9 | 0.230 |
| Heart rate, beats/min | 79 ± 7 | 79 ± 5 | 0.608 |
| LA diameter, cm | 4.54 ± 4.21 | 3.6 ± 0.17 | <0.001 |
| Left ventricular ejection fraction, % | 64 ± 3 | 65 ± 3 | 0.740 |
| Macruz index | 2.79 ± 1.03 | 1.29 ± 0.11 | <0.001 |
Fig. 1Comparison of the Macruz index between study groups.
Macruz index measurements before and after PMBV
| Variables | Pre-PMBV | Post-PMBV | p value |
|---|---|---|---|
| Macruz index | 2.79 ± 1.03 | 2.23 ± 0.79 | <0.001 |
| MVA, cm2 | 1.15 (0.80 – 1.50) | 1.70 (1.00 – 2.50) | <0.001 |
| LA diameter, cm | 4.60 (3.90 – 5.70) | 4.30 (4.00 – 5.70) | 0.182 |
| Pulmonary artery pressure, mm Hg | 45 (27 – 90) | 36 (24 – 75) | <0.001 |
| mMVG, mm Hg | 11 (5 – 25) | 5 (2 – 12) | <0.001 |
Values are presented as means ± SD or medians (range) unless otherwise stated.
Correlations between change in the Macruz index and valvular score, LA diameter, and MVA before and after PMBV
| Variables | Pre-PMBV | Post-PMBV | Difference |
|---|---|---|---|
| MVA | |||
| Correlation coefficient | 0.045 | −0.127 | −0.172 |
| p value | 0.732 | 0.331 | 0.185 |
| LA diameter | |||
| Correlation coefficient | −0.179 | −0.746 | 0.580 |
| p value | 0.734 | 0.088 | 0.228 |
| Valvular score | |||
| Correlation coefficient | −0.131 | −0.012 | 0.120 |
| p value | 0.315 | 0.927 | 0.356 |
Change in the Macruz index before and after PMBV according to clinical success
| Macruz index | Unsuccessful-procedure group (n = 8) | Successful-procedure group (n = 53) | p value |
|---|---|---|---|
| Pre-PMBV | 2.83 ± 0.92 | 2.76 ± 1.05 | 0.873 |
| Post-PMBV | 2.81 ± 1.00 | 2.12 ± 0.72 | 0.020 |
| Change in the Macruz index | −0.02 ± 0.20 | −0.64 ± 0.63 | 0.007 |
Fig. 2ROC curve for the change in Macruz index for predicting clinical success.
ROC analysis indicating the best cutoff value for the change in Macruz index that predicts clinical outcomes and diagnostic performance measures (n = 61)
| Statistic | Mitral index difference | Definition | n/total (%) |
|---|---|---|---|
| AUC | 0.888 | ||
| 95% CI for the AUC | 0.788 – 0.988 | ||
| p value | <0.001 | ||
| Best cutoff point | <–0.105 | ||
| Sensitivity | TP/(TP+FN) | 46/52 (88.5) | |
| Specificity | TN/(TN+FP) | 7/8 (87.5) | |
| PPV | TP/(TP+FP) | 46/47 (97.9) | |
| NPV | TN/(TN+FN) | 7/13 (53.8) | |
| Accuracy | (TP+TN)/(TP+TN+FP+FN) | 53/61 (88.3) |
AUC = Area under the curve; TP = true positive; FN = false negative; TN = true negative; FP = false positive; PPV = positive predictive value; NPV = negative predictive value.