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

Table 1: Demographic parameters of the sample.

Variable	Details	Total
N=		283
Sex	F	89 (33.6%)
Sex	M	176 (66.4%)
Age (years)	μ ±SD	69.65 ±10.6
Age (years)	M (min:max)	70 (40.2:94.2)
BMI (kg/m²)	μ ±SD	26.77 ±4.72
BMI (kg/m²)	M (min:max)	25.83 (15.63:42.22)
μ ±SD = Mean (standard deviation); M (min:max) = Median (min:max);

Figure 1: Sex and age groups distribution.

Figure 2: Age distribution, at intervention, colored by sex. (| mean, ¦ median).

Figure 3: BMI distribution, colored by sex. (| mean, ¦ median).

Figure 4: COrrelation of BMI and age, colored by sex.

2.3.2 Main

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%)
Angioplasty		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 5: .

Figure 6: .

Table 3: Relația dintre Elective angioplasty și Angioplasty.

vs. Elective angioplasty
Angioplasty	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 Angioplasty.

vs. Multivascular angioplasty
Angioplasty	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 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)

Table 5: Relația dintre Elective angioplasty și Number of 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)

Table 5: Relația dintre Elective angioplasty și Number of 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+	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)

Figure 5: .

2.3.3 PCI Arterial access

Table 6: PCI Arterial access.

Variable	Details	Total
N=		283
PCI Arterial access (ASW)	Brahial left	19 (7.2%)
	Brahial right	5 (1.9%)
	Femoral left	26 (9.8%)
	Femoral right	53 (20.1%)
	Radial left	144 (54.5%)
	Radial left, femoral right	2 (0.8%)
	Radial right	15 (5.7%)
PCI Arterial access (BAGC)	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 7: .

Figure 8: .

2.3.4 Guidewire

Table 7: Guidewire.

Variable	Details	Total
N=		283
Guidewire	Terumo hydrophyl guidewire	158 (64.2%)
	Balance middle weight guidewire	55 (22.4%)
	Others	33 (13.4%)
Guidewire (original)	Amplatz	3 (1.1%)
	Asahi coronary guidewire	1 (0.4%)
	Balance middle weight guidewire	53 (18.9%)
	Balance middle weight guidewire- coronarian	1 (0.4%)
	Balanced middle weight	1 (0.4%)
	Cougar guidewire (fail BMW)	1 (0.4%)
	Diagnostic guidewire	1 (0.4%)
	EBU	6 (2.1%)
	Fielder XT	1 (0.4%)
	Fractured	1 (0.4%)
	GAiA	1 (0.4%)
	JR	1 (0.4%)
	JR4	3 (1.1%)
	JR4 5F	1 (0.4%)
	Multipurpose	4 (1.4%)
	no	1 (0.4%)
	no data	32 (11.4%)
	PT2	2 (0.7%)
	PT2 guidewire	2 (0.7%)
	Runthrough guidewire	1 (0.4%)
	Steelcore	1 (0.4%)
	Stiff	1 (0.4%)
	Terumo hydrophyl guidewire	158 (56.4%)
	Terumo pigtail guidewire	1 (0.4%)
	Whisper extra support guidewire	1 (0.4%)
	X	1 (0.4%)

Figure 9: .

2.3.5 Amputations

Table 8: Amputations.

Variable	Details	Total
N=		283
Minor amputation		3 (1.1%)
Major amputation		8 (2.8%)

Figure 10: Amputations.

2.3.6 Other pathology

Table 9: Other pathology

Variable	Details	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 11: Other pathology.

2.3.7 Artery

Table 10: Artery

Variable	Details	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 12: Artery.

3 References

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/.

Graduation Thesis