https://rpubs.com/alex_istrate/605846

1 General part

2 Special part

2.1 Introduction

2.1.1 Objectives

2.2 Methods

2.2.1 Statisitcal analysis of the data

To describe the quantitative variables, we used histograms and we calculated the arithmetic means ±standard deviation (SD) [with 95% confidence interval (CI)], as well as the extreme and median values. For the qualitative variables, we used pie or bar charts and calculated the absolute and percentual frequencies of the formed categories.

To study the relationships between quantitative and qualitative variables, we used the T or Mann-Whitney (MW) tests if they were binary, respectively ANOVA or Kruskal-Wallis (KW) if they had more categories. We presented the p values generated by these tests as well as the means ±SD of the groups and the difference of the means with associated 95% CI. We graphically presented the results in the form of box plots. To study the relationships between the quantitative variables we used the Spearman correlation coefficient (R), with the associated p-value and graphically presented the relations as scatter plots, on which we added the regression line. To describe the relationships between the qualitative variables we used the Chi² or Fisher test and the Cramer phi or V and Odds-Ratio (OR) / Relative Risk (RR) indicators with 95% CI. We graphically presented the results in the form of pie or bar charts.

We used Microsoft Excel 2016 for database management. For all statistical analyzes and subsequent graphs we used R 3.6.3 [1]. We considered p <0.05 to be statistically significant and p <0.10 to show only a tendency towards statistical significance.

2.3 Results

2.3.1 Demographics

A total of 283 patients were included din the study, of whom 86.8% had only one intervention yet, while 10.3% had 2 interventions, 2.9% had more (up to 5).

Among unique patients, 66.4% were men. At the time of each intervention, age had values between 40.2 and 94.2 years old (median = 70) with a mean of 69.65 ±10.6 years old. At the time of the first interention, women were significantly older then men (F:71.82 ±10.8 years old, M: 68.90 ±10.3 years old).

At the time of each intervention, BMI had values between 15.63 and 42.22 kg/m² (median = 25.83) with a mean of 26.77 ±4.72 kg/m². BMI had a statistically significant but weak negative correlation with age (-0.27, p<0.001).

Table 1: Demographic parameters of the sample.

Variable

Details

Total

N=

283

Sex

F

76 (33.6%)

M

150 (66.4%)

Age (years)

μ ±SD

69.65 ±10.6

M (min:max)

70 (40.2:94.2)

BMI (kg/m²)

μ ±SD

26.77 ±4.72

M (min:max)

25.83 (15.63:42.22)

No. interventions

1

210 (86.8%)

2

25 (10.3%)

3+

7 (2.9%)

μ ±SD = Mean (standard deviation); M (min:max) = Median (min:max);

Figure 1: Sex distribution.

Figure 2: Number of visits.

Figure 3: Age distribution, at each intervention, colored by sex. (| mean, ¦ median).

Figure 4: BMI distribution, at each intervention, colored by sex. (| mean, ¦ median).

Figure 5: Correlation of BMI and age, colored by sex (Spearman’scorrelation coefficient).

2.3.2 Main

Most patients with an ACOMI diagnosis had stage IV (78.3%), or III (20.9%) and only 2 patients had stage IIb.

Most cases were registerd in 2019 (n=61, 23.0%) and the least were registerd in 2016 (n=18, 6.8%), 2014 (n=26, 9.8%).
264 (93.6%) interventions were successful.

Angiography was performed in 123 (46.4%) patients and coronarography in 16 (6.0%) patients. Elective or multivascular angioplasty was performed in 159 (56.2%) and 80 (28.3%) patients.

More than half of the patients (n=143, 50.5%) were not implanted stents. Only one stent was implanted in 100 patients (35.3%) and 2 or more were implanted in 40 patients (14.1%, up to 6 stents).

Table 2: Main parameters of the sample.

Variable

Details

Total

N=

283

ACOMI

ACOMI IIB

2 (0.8%)

ACOMI III

51 (20.9%)

ACOMI IV

191 (78.3%)

Angiography

123 (46.4%)

Coronarography

16 (6.0%)

Examination year

2014

26 (9.8%)

2015

51 (19.2%)

2016

18 (6.8%)

2017

47 (17.7%)

2018

62 (23.4%)

2019

61 (23.0%)

Success of intervention

264 (93.6%)

Number of stents

0

143 (50.5%)

1

100 (35.3%)

2

25 (8.8%)

3

6 (2.1%)

4

5 (1.8%)

5

2 (0.7%)

6

2 (0.7%)

Elective angioplasty

159 (56.2%)

Multivascular angioplasty

80 (28.3%)

μ ±SD = Mean (standard deviation); M (min:max) = Median (min:max);

Figure 6: ACOMI diagnosis of the patients.

Figure 7: Year of examination.

Figure 8: Success of intervention.

Figure 9: Angiography and Coronarography.

Figure 9: Angiography and Coronarography.

Angiography and not having elective angiopasty were significantly correlated (OR = 0.13, p<0.001). Among patients with angiography, only 29.3% had elective angioplasty (compared to 76.8% among those without angiography) and among patients with elective angioplasty, only 24.8% had angiography (compaed to 72.5% of those without elective angioplasty).

vs. Coronarography

Angiography

yes

no

(total)

yes

11 (8.9% / 68.8%)

112 (91.1% / 45.0%)

123 (46.4%)

no

5 (3.5% / 31.2%)

137 (96.5% / 55.0%)

142 (53.6%)

(total)

16 (6.0%)

249 (94.0%)

265 (100%)

OR=2.69 [0.91, 7.97], phi=0.11 (p=0.074)

Table 3: Relația dintre Elective angioplasty și Angiography.

vs. Elective angioplasty

Angiography

yes

no

(total)

yes

36 (29.3% / 24.8%)

87 (70.7% / 72.5%)

123 (46.4%)

no

109 (76.8% / 75.2%)

33 (23.2% / 27.5%)

142 (53.6%)

(total)

159 (56.2%)

124 (43.8%)

265 (100%)

OR=0.13 [0.07, 0.22], phi=0.48 (p<0.001)

Table 3: Relația dintre Elective angioplasty și Angiography.

vs. Multivascular angioplasty

Angiography

yes

no

(total)

yes

30 (24.4% / 40.5%)

93 (75.6% / 48.7%)

123 (46.4%)

no

44 (31.0% / 59.5%)

98 (69.0% / 51.3%)

142 (53.6%)

(total)

80 (28.3%)

203 (71.7%)

265 (100%)

OR=0.72 [0.42, 1.24], phi=0.07 (p=0.273)

Table 4: Relația dintre Elective angioplasty și Coronarography.

vs. Elective angioplasty

Coronarography

yes

no

(total)

yes

7 (43.8% / 4.8%)

9 (56.2% / 7.5%)

16 (6.0%)

no

138 (55.4% / 95.2%)

111 (44.6% / 92.5%)

249 (94.0%)

(total)

159 (56.2%)

124 (43.8%)

265 (100%)

OR=0.63 [0.23, 1.73], phi=0.06 (p=0.441)

Table 4: Relația dintre Elective angioplasty și Coronarography.

vs. Multivascular angioplasty

Coronarography

yes

no

(total)

yes

3 (18.8% / 4.1%)

13 (81.2% / 6.8%)

16 (6.0%)

no

71 (28.5% / 95.9%)

178 (71.5% / 93.2%)

249 (94.0%)

(total)

80 (28.3%)

203 (71.7%)

265 (100%)

OR=0.58 [0.16, 2.09], phi=0.05 (p=0.568)

Table 5: Relația dintre Multivascular angioplasty și Elective angioplasty.

vs. Multivascular angioplasty

Elective angioplasty

yes

no

(total)

yes

51 (32.1% / 63.7%)

108 (67.9% / 53.2%)

159 (56.2%)

no

29 (23.4% / 36.2%)

95 (76.6% / 46.8%)

124 (43.8%)

(total)

80 (28.3%)

203 (71.7%)

283 (100%)

OR=1.55 [0.91, 2.64], phi=0.10 (p=0.113)

Figure 10: Number of stents.

Elective angioplasty was not significantly correlated to the number of stents (p=0.736) nor to having or not any stents (OR=0.91, p=0.720). 55.0% of the patients with stents had elective antioplasty and 48.4% of the patients with elective antioplasty had 1 or more stents.

vs. Elective angioplasty

Number of stents

yes

no

(total)

0

82 (57.3% / 51.6%)

61 (42.7% / 49.2%)

143 (50.5%)

1

54 (54.0% / 34.0%)

46 (46.0% / 37.1%)

100 (35.3%)

2

17 (68.0% / 10.7%)

8 (32.0% / 6.5%)

25 (8.8%)

3

2 (33.3% / 1.3%)

4 (66.7% / 3.2%)

6 (2.1%)

4

2 (40.0% / 1.3%)

3 (60.0% / 2.4%)

5 (1.8%)

5

1 (50.0% / 0.6%)

1 (50.0% / 0.8%)

2 (0.7%)

6

1 (50.0% / 0.6%)

1 (50.0% / 0.8%)

2 (0.7%)

(total)

159 (56.2%)

124 (43.8%)

283 (100%)

V=0.11 (p=0.736)

vs. Elective angioplasty

Number of stents

yes

no

(total)

0

82 (57.3% / 51.6%)

61 (42.7% / 49.2%)

143 (50.5%)

1

54 (54.0% / 34.0%)

46 (46.0% / 37.1%)

100 (35.3%)

2+

23 (57.5% / 14.5%)

17 (42.5% / 13.7%)

40 (14.1%)

(total)

159 (56.2%)

124 (43.8%)

283 (100%)

V=0.03 (p=0.861)

vs. Elective angioplasty

Number of stents

yes

no

(total)

1+

77 (55.0% / 48.4%)

63 (45.0% / 50.8%)

140 (49.5%)

0

82 (57.3% / 51.6%)

61 (42.7% / 49.2%)

143 (50.5%)

(total)

159 (56.2%)

124 (43.8%)

283 (100%)

OR=0.91 [0.57, 1.45], phi=0.02 (p=0.720)

Table 6: Relation between the number of stents and elective angioplasty (% by row and column).

Multivascular angioplasty was not significantly correlated to the number of stents (p=0.092) nor to having or not any stents (OR=1.36, p=0.291). 31.4% of the patients with stents had multivascular antioplasty and 55.0% of the patients with multivascular antioplasty had 1 or more stents.

vs. Multivascular angioplasty

Number of stents

yes

no

(total)

0

36 (25.2% / 45.0%)

107 (74.8% / 52.7%)

143 (50.5%)

1

27 (27.0% / 33.8%)

73 (73.0% / 36.0%)

100 (35.3%)

2

10 (40.0% / 12.5%)

15 (60.0% / 7.4%)

25 (8.8%)

3

2 (33.3% / 2.5%)

4 (66.7% / 2.0%)

6 (2.1%)

4

3 (60.0% / 3.8%)

2 (40.0% / 1.0%)

5 (1.8%)

5

2 (100% / 2.5%)

0

2 (0.7%)

6

0

2 (100% / 1.0%)

2 (0.7%)

(total)

80 (28.3%)

203 (71.7%)

283 (100%)

V=0.20 (p=0.092)

vs. Multivascular angioplasty

Number of stents

yes

no

(total)

0

36 (25.2% / 45.0%)

107 (74.8% / 52.7%)

143 (50.5%)

1

27 (27.0% / 33.8%)

73 (73.0% / 36.0%)

100 (35.3%)

2+

17 (42.5% / 21.2%)

23 (57.5% / 11.3%)

40 (14.1%)

(total)

80 (28.3%)

203 (71.7%)

283 (100%)

V=0.13 (p=0.093)

vs. Multivascular angioplasty

Number of stents

yes

no

(total)

1+

44 (31.4% / 55.0%)

96 (68.6% / 47.3%)

140 (49.5%)

0

36 (25.2% / 45.0%)

107 (74.8% / 52.7%)

143 (50.5%)

(total)

80 (28.3%)

203 (71.7%)

283 (100%)

OR=1.36 [0.81, 2.29], phi=0.07 (p=0.291)

Table 6: Relation between the number of stents and elective angioplasty (% by row and column).

2.3.3 PCI Arterial access

Table 7: PCI Arterial access.

PCI Arterial access

Total

283

Brahial left

26 (9.2%)

Brahial right

12 (4.3%)

Femoral bilateral

2 (0.7%)

Femoral left

79 (28.0%)

Femoral left anterograde

2 (0.7%)

Femoral right

113 (40.1%)

Femoral right anterograde

1 (0.4%)

Femoral right, brahial left

1 (0.4%)

Popliteal right retrograde

1 (0.4%)

Radial left

38 (13.5%)

Radial left, femoral right

1 (0.4%)

Radial right

6 (2.1%)

Figure 11: .

2.3.4 Guidewire

Table 8: Guidewire.

Guidewire

Total

283

Terumo hydrophyl guidewire

159 (64.6%)

Balance middle weight guidewire

55 (22.4%)

Others

32 (13.0%)

Table 9: Guidewire (complete list).

Guidewire (complete list)

Total

283

Amplatz

3 (1.1%)

Asahi coronary guidewire

1 (0.4%)

Balance middle weight guidewire

55 (19.7%)

Cougar guidewire (fail BMW)

1 (0.4%)

Diagnostic guidewire

1 (0.4%)

EBU

6 (2.2%)

Fielder XT

1 (0.4%)

Fractured

1 (0.4%)

GAiA

1 (0.4%)

JR4

5 (1.8%)

Multipurpose

4 (1.4%)

no data

32 (11.5%)

none

1 (0.4%)

PT2

4 (1.4%)

Runthrough guidewire

1 (0.4%)

Steelcore

1 (0.4%)

Stiff

1 (0.4%)

Terumo hydrophyl guidewire

159 (57.0%)

Whisper extra support guidewire

1 (0.4%)

Figure 12: .

2.3.5 Amputations

Major aplutatons were performed in 8 patients (2.8%) and minor apmutations in 3 patients.

Table 10: Minor and major amputations.

Variable

Total

N=

283

Minor amputation

3 (1.1%)

Major amputation

8 (2.8%)

Figure 13: Amputations.

2.3.6 Other pathology

Table 11: Other pathology

Variable

Total

N=

283

Ischemic cardiomyopathy

18 (6.4%)

DM

81 (28.6%)

HBP

38 (13.4%)

Dyslipidemia

3 (1.1%)

COPD

2 (0.7%)

Heart insuffiency

5 (1.8%)

Chronic renal insufficieny

23 (8.1%)

Atrial fibrilation

13 (4.6%)

Cerebrovascular accident

9 (3.2%)

Figure 14: Other pathology.

2.3.7 Artery

Table 12: Arteries

Variable

Total

N=

283

Aorta

1 (0.4%)

Common iliac

57 (20.1%)

External iliac

66 (23.3%)

Common femoral

22 (7.8%)

Superficial femoral

114 (40.3%)

Tibial

26 (9.2%)

Popliteal

82 (29.0%)

Tibio-peroneal

29 (10.2%)

Peroneal

15 (5.3%)

Figure 15: Arteries.

3 References

  1. R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.