BivariatAnalysis. PARENTAL PRACTICE IN ADOLESCENTS WITH VIDEO GAME PLAYING IN YOGYAKARTA MUNICIPALITY

100 PROCEEDING BOOK The 2 nd International Conference on Health Science 2015 Based on Table 3 shows that hematoma did not exist in most patients who obtained a type of anticoagulant drugs. While it occurred in most of the patients that received two or more types of anticoagulant drugs occurred hematoma. Based on the analysis by the Chi- Square data showed that there are differences in the incidence of hematoma between the proportion of patients who acquire one type of anticoagulant drugs to patients that received two or more types of medication p value = 0.000; 0.5, with OR = 19, 81, meaning that patients receive two types of anticoagulant drugs or have the possibility of hematoma at 19.81 times compared with patients receiving one type of anticoagulant drug administration, while the lowest value 95 CI 5.01, and the highest 78.36 means that the use of two types of drugs a kind or more risk factors have a strong infl uence on the occurrence of hematoma. Table 4 Distribution of Patients According to the size and Genesis Sheath Hematoma Patients transradial Cardiac Catheterization at Dr. Sardjito Hospital n = 69 Sheath Size Hematoma Total OR 95 CI P Value Not Hematoma Hematoma Frent N n n 5F 24 96,0 1 4,0 25 100 31,6 3,92 - 54,7 0,00 6F 19 43,2 25 56,8 44 100 Amount 43 62,3 26 37,7 69 100 Based on Table 4 shows that most patients who use size 5 F sheath hematoma did not occur. While most patients who use size 6 F sheath hematoma occurs. Based on the analysis by the Chi-Square data showed that there are differences in the incidence of hematoma proportion among patients using 5F sheath size with the size of the patient using a 6F sheath p value = 0.000; 0.5, with OR = 31.6, meaning patients using a 6F sheath size has the possibility of hematoma of 31.6 times compared with patients using 5F sheath size, while the value of 95CI 3.92 lows and highs of 54.7 means that using a 6F sheath no risk factors have a strong infl uence to the occurrence of hematoma. Table 5 Distribution of Patients According Systolic blood pressure and the incidence of hematoma Patients transradial Cardiac Catheterization at Dr. Sardjito Hospital n = 69 Systolic blood Pressure Hematoma Total OR 95 CI P Value Not Hematoma Hematoma mmHg N N n 140 32 82,1 7 17,9 39 100 7,9 2,6-23,8 0,00 ≥ 140 11 36,7 19 63,3 30 100 Amount 43 62,3 26 37,7 69 100 Based on Table 5 shows that most patients whose blood pressure is less than 140 mm Hg did not happen hematoma. While the patients whose blood pressure 140 mm Hg or more occurred hematoma. Based on the analysis by the Chi-Square data showed that there are differences in the incidence of hematoma between the proportion of patients whose blood pressure less than 140 mmHg in patients whose blood pressure 140 mm Hg or greater p value = 0.000; 0.5, with OR = 7.9, meaning that patients with a blood pressure of 140 mm “Optimizing The Quality of Life Children Under SDGs” Sustainable Development Goals 101 Hg or more have the possibility of hematoma by 7.9 times compared with patients with blood pressure less than 140 mm Hg, while the lowest value 95 CI 2.6 and 23.8 means that the highest pressure 140 or higher systolic blood are risk factors that have a strong infl uence on the occurrence of hematoma. Table 6 Distribution of Patients According to Frequency Puncture and hematoma Patients transradial Cardiac Catheterization at Dr. Sardjito Hospital n = 69 Puncture Frequency Hematoma Total OR 95 CI P Value Not Hematoma Hematoma N n n 1 time 22 81,5 5 18,5 27 100 4,4 1,40 – 13,81 0,017 ≥ 2 times 21 50 21 50 42 100 Amount 43 62,3 26 37,7 69 100 Based on Table 6 shows that most patients do not puncture one hematoma. While patients performed two times or more puncture have opportunities for the possibility of hematoma or not hematoama. Based on the analysis by the Chi-Square data showed that there are differences in the incidence of hematoma between the proportion of patients with stab one time with a puncture twice or more p value = 0.000; 0.5, with OR = 4.4, meaning that patients with twice or more puncture have the possibility of hematoma by 4.4 times compared to patients with stab one time, while the value of the 95 CI 13.81 lows and highs of 1.4 means that the puncture twice or more risk factors have a strong infl uence on the occurrence of hematoma. Table 7 Distribution of Patients According to Pressure TR Band and Genesis Hematoma Patients transradial Cardiac Catheterization at Dr. Sardjito Hospital n = 69 TR Band Pressure Hematoma Total OR 95 CI P Value Not Hematoma Hematoma n n N 13 cc 37 82,2 8 17,8 45 100 13,9 1,18 – 46,02 0,000 13 cc 6 25,0 18 75 24 100 Amount 43 62,3 26 37,7 69 100 Based on Table 7 shows that hematoma did not happen in most patients given 13 cc pressure TR Band. While it did happen to most patients given TR Band pressure of less than 13 cc occurred hematoma. Based on the analysis by the Chi-Square data showed that there are differences in the incidence of hematoma between the proportion of patients with TR Band size 13 cc with TR Band size of less than 13 cc p value = 0.000; 0.5, with OR = 13.9 meaning that patients with TR Band size less than 13 cc has the possibility of hematoma by 13.9 times compared with patients with TR Band size 13 cc, while the lowest value 95 CI 1.18, and the highest 46.02 means that the reduction pressure is less than TR Band 13 cc prematurely are risk factors that have a strong infl uence on the occurrence of hematoma. 102 PROCEEDING BOOK The 2 nd International Conference on Health Science 2015 Table 8 Distribution of Patients According to the Body Mass Index and Genesis Hematoma Patients transradial Cardiac Catheterization at Dr. Sardjito Hospital n = 69 Body Mass Index Hematoma Total OR 95 CI P Value Not Hematoma Hematoma n n N Normal 13 56,5 10 43,5 23 100 0,00 0,661 Not normal 30 65,2 16 34,8 46 100 Amount 43 62,3 26 37,7 69 Based on Table 8 shows that the majority of patients with BMI more did not happen hematoma. While a small percentage of patients whose normal BMI occurred hematoma. Based on the analysis by the Chi-Square data showed that there is no difference between the incidence of hematoma proportion with body mass index p value = 0.661; 0.5, with OR = 0 means that patients with abnormal BMI has no effect on the likelihood of occurrence hematoma compared to patients with normal BMI.

2. Multivariate Analysis

Multivariate analysis is done by looking at the results of the bivariate analysis had Odds Ratio and P value 0.05 as follows: Table 9 Distribution of OR and pvalue results based on the analysis results of chi-square test V Variabel OR95CI Pvalue Sheath size 31,6 0,000 types of medicine 19,8 0,000 TR Band Pressure 13,9 0,000 Sistolic Blood Pressure 7,9 0,000 Puncture Frequency 4,4 0,017 Body Mass Index 0,661 Table 9 shows that all variables have a P value of less than 0.05 except IMT pvalue 0661 0.05. It means that all variables can be inserted into the modeling analysis of multivariate test except IMT Table 10 Distribution of variables that most infl uence on the incidence of hematoma Patients transradial Cardiac Catheterization at Dr. Sardjito Hospital. Variable ExpB 95 C.I.for EXPB Lower Upper Types of medicine 19,115 1,547 236,117 Sistolic Blood Pressure 15,731 2,21 111,920 TR Band Pressure 9,096 1,453 56,961 Sheath size 2,055 1,116 36,303 PunctureFrequency 1,621 ,247 10,632 “Optimizing The Quality of Life Children Under SDGs” Sustainable Development Goals 103 Based on Table 10 shows that the results of the multivariate analysis associated with the incidence of hematoma signifi cantly is the number of drug types, sheath size, blood pressure, puncture frequency, size TR Brand. Logistic regression analysis results with the greatest variables infl uence the occurrence of hematoma in patients undergoing catheterization action through the radial insertion in the Cardiac Catheterization Hospital Dr. Sardjito is a number of types of medication with Exp B = 19.115. This means that patients given anticoagulant drugs two or more types of 19.115 times have infl uence on the incidence of hematoma in patients who underwent cardiac catheterization via the radial space Hospital Cardiac Catheterization Dr. Sardjito, whereas most small variables that infl uence is the frequency puncture with Exp B = 1.621. DISCUSSION 1. Bivariate analysis.

a. Gender and Age

Sex of the patient both women and men have no effect on the incidence of hematoma on the action transradial cardiac catheterization. Gender is a risk factor for acute coronary syndrome which is indicative of the actions cardiac catheterization 10 . In this study, gender did not make infl uence on the incidence of hematoma. In the age group 40-54 years and 55-69 years age group had no effect on the incidence of hematoma on the action transradial cardiac catheterization. Age is a risk factor for acute coronary syndrome which is indicative of the cardiac catheterization actions 10 . In this study age group does not render infl uence on the incidence of hematoma. b. Number Type Dispensing of Genesis Hematoma Patients who obtain two or more kinds of drugs effect on the incidence of hematoma p value = 0.00, with 19.81 times the infl uence of the hematoma. Anticoagulation in action coronary angiography is a risk factor increases the incidence hematoma 7 . Administration of heparin and aspirin can increase the risk of bleeding in patients post catheterization jantung 11 . Administration of heparin as an anticoagulant during transradial cardiac catheterization procedure in general become standard operating procedure in the cardiac catheterization unit, cardiac katetrisasi transradial procedure using unfractionated heparin UFH at a dose of 2000-5000 IU, whereas for percutaneous coronary intervention dose of 10,000 IU 12 . Heparin is an anticoagulant where the main effect is to disable inhibits thrombin and factor X via antithrombin, by inactivating thrombin, the heparin not only prevents the formation of fi brin but also inhibits thrombin-induced activation of platelets and factors V and VIII 13 . Patients who underwent cardiac catheterization there are already getting drug Aspilet or clopidogrel antiplatelet or class, this class of drugs prevents adhesion and aggregation of platelets by inhibiting a receptor on the platelet membrane, preventing the interaction of platelets or platelet interactions premises chemicals lain14 blood clotting. So if the patient underwent cardiac catheterization have received drugs known as antiplatelet therapy, the impact of these drugs is going to increase bleeding and increase the risk of hematoma. Some patients with acute coronary syndrome before action catheterization get thrombolytic agent drug where the drug works by activating plasminogen to plamin which then break up the threads of fi brin in the blood clot to dissolve clots darah 14 . Antitrombolitik the impact of the drug will also increase bleeding and increase the risk of hematoma after