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"[ABSTRAKLatar Belakang : Kejadian mortalitas dan MACE merupakan komplikasi pasca PCI yang seringkali terjadi. Kemampuan ahli dalam memprediksi komplikasi dengan cara melakukan stratifikasi risiko menggunakan skor risiko. New Mayo Clinic Risk Score (NMCRS) menggunakan tujuh variabel yang mudah didapatkan pada data awal pasien dan memiliki performa yang baik. Belum ada studi untuk karakteristik mortalitas dan MACE pada NMCRS di ICCU RSCM.Tujuan : mengetahui insidens mortalitas dan MACE serta karakteristik NMCRS pada pasien pasca PCI selama perawatan di ICCU RSCM.Metode : Penelitian dengan desain kohort retrospektif terhadap 313 pasien SKA pasca PCI di ICCU RSCM, dalam kurun waktu 1 Agustus 2013? 31 Agustus 2014. Data pasien dari rekam medis dimasukkan ke dalam tujuh variabel skor NMCRS kemudian ditentukan hasil setiap kategori risiko.Hasil : Insidens mortalitas pasien pasca PCI selama perawatan 3,8% (IK 95% 2,6;5) dan MACE pasca PCI selama perawatan 8,3% (IK 95% 6,6;10). Pasien-pasien dengan usia yang semakin tua, fraksi ejeksi ventrikel kiri yang rendah, infark miokard, kreatinin serum yang meningkat, adanya syok kardiogenik pra prosedur, dan adanya penyakit arteri perifer memiliki kejadian mortalitas dan MACE yang lebih tinggi pasca PCI. Skor NMCRS untuk mortalitas menunjukkan kategori risiko sangat rendah 167 pasien (53%), risiko rendah 60 pasien (19%), sedang 47 pasien (15%), tinggi 10 pasien (3%) dan risiko sangat tinggi 29 pasien (9%). Kejadian mortalitas pada kategori risiko sangat rendah 2 kasus (1,2%), rendah 0 pasien, sedang 2 pasien (4,25%), tinggi 1 pasien (10%) dan sangat tinggi 7 kasus (24,13%). Skor NMCRS untuk MACE memberikan hasil kategori sangat rendah 101 pasien (32%), risiko rendah 128 pasien (41%), sedang 52 pasien (17%), tinggi 16 pasien (5%) dan sangat tinggi 16 kasus (5%). Kejadian MACE untuk risiko sangat rendah sebanyak 4 kasus (3,96%), rendah 7 pasien (5,46%), sedang 4 pasien (7,69%), tinggi 5 pasien (31,25%) dan risiko sangat tinggi 6 kasus (37,5%).Kesimpulan : insidens mortalitas pasien pasca PCI selama perawatan 3,8% (IK 95% 2,6;5) dan MACE pasca PCI selama perawatan 8,3% (IK 95% 6,6;10). Kenaikan skor NMCRS maka akan diiringi peningkatan kejadian mortalitas dan MACE pasca PCI.

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ABSTRACTBackground : Mortality and MACE was an often complication post PCI. Capability from an expert in predict complication by doing risk stratification using risk score. New Mayo Clinic Risk Score (NMCRS) using seven variables easy to collect from medical record and had a good performance. No report about mortality and MACE studies NMCRS characteristic for post PCI patients in ICCU RSCM.Objective : To obtain mortality and MACE incidence and also NMCRS characteristic on post PCI patients in ICCU RSCM.Methods : A retrospective cohort study was conducted to evaluate 313 post PCI patients in ICCU RSCM between August 1st 2013 and August 31 2014. Patients data from medical records collect for seven variables and determined category results for each risk category.Results : In-hospital mortality post PCI incidence 3,8% (CI 95% 2,6;5) and inhospital MACE post PCI 8,3% (CI 95% 6,6-10). Patients that getting older, lower left ventricular ejection fraction, increase serum creatinine, pre-procedure cardiogenic shock, myocardial infarct and peripheral arterial disease had higher mortality and MACE post PCI. NMCRS in predict risk of mortalitas shown for very low risk 167 patient (53%), low risk 60 patient (19%), moderate risk 47 patient (15%), high risk 10 patient (3%) and very high risk 29 patient (9%). Mortality in very low risk 2 patient (1,2%), low risk no patient, moderate 2 patient (4,25%), high 1 patient (10%) and very high risk 7 patient (24,13%). NMCRS in predict MACE shown for very low risk 101 patient (32%), low risk 128 patient (41%), moderate 52 patient (17%), high 16 patient (5%) very high risk 16 patient (5%). MACE in very low risk 4 patient (3,96%), low risk 7 patient (5,46%), moderate risk 4 patient (7,69%), high risk 5 patient (31,25%) and very high risk 6 patient (37,5%).Conclusion : In-hospital mortality post PCI incidence 3,8% (CI 95% 2,6;5) and in-hospital MACE post PCI incidence 8,3% (CI 95% 6,6;10). The increase of NMCRS score was also followed with the increase of mortality and MACE post PCI.;Background : Mortality and MACE was an often complication post PCI. Capability from an expert in predict complication by doing risk stratification using risk score. New Mayo Clinic Risk Score (NMCRS) using seven variables easy to collect from medical record and had a good performance. No report about mortality and MACE studies NMCRS characteristic for post PCI patients in ICCU RSCM.Objective : To obtain mortality and MACE incidence and also NMCRS characteristic on post PCI patients in ICCU RSCM.Methods : A retrospective cohort study was conducted to evaluate 313 post PCI patients in ICCU RSCM between August 1st 2013 and August 31 2014. Patients data from medical records collect for seven variables and determined category results for each risk category.Results : In-hospital mortality post PCI incidence 3,8% (CI 95% 2,6;5) and inhospital MACE post PCI 8,3% (CI 95% 6,6-10). Patients that getting older, lower left ventricular ejection fraction, increase serum creatinine, pre-procedure cardiogenic shock, myocardial infarct and peripheral arterial disease had higher mortality and MACE post PCI. NMCRS in predict risk of mortalitas shown for very low risk 167 patient (53%), low risk 60 patient (19%), moderate risk 47 patient (15%), high risk 10 patient (3%) and very high risk 29 patient (9%). Mortality in very low risk 2 patient (1,2%), low risk no patient, moderate 2 patient (4,25%), high 1 patient (10%) and very high risk 7 patient (24,13%). NMCRS in predict MACE shown for very low risk 101 patient (32%), low risk 128 patient (41%), moderate 52 patient (17%), high 16 patient (5%) very high risk 16 patient (5%). MACE in very low risk 4 patient (3,96%), low risk 7 patient (5,46%), moderate risk 4 patient (7,69%), high risk 5 patient (31,25%) and very high risk 6 patient (37,5%).Conclusion : In-hospital mortality post PCI incidence 3,8% (CI 95% 2,6;5) and in-hospital MACE post PCI incidence 8,3% (CI 95% 6,6;10). The increase of NMCRS score was also followed with the increase of mortality and MACE post PCI., Background : Mortality and MACE was an often complication post PCI. Capability from an expert in predict complication by doing risk stratification using risk score. New Mayo Clinic Risk Score (NMCRS) using seven variables easy to collect from medical record and had a good performance. No report about mortality and MACE studies NMCRS characteristic for post PCI patients in ICCU RSCM.Objective : To obtain mortality and MACE incidence and also NMCRS characteristic on post PCI patients in ICCU RSCM.Methods : A retrospective cohort study was conducted to evaluate 313 post PCI patients in ICCU RSCM between August 1st 2013 and August 31 2014. Patients data from medical records collect for seven variables and determined category results for each risk category.Results : In-hospital mortality post PCI incidence 3,8% (CI 95% 2,6;5) and inhospital MACE post PCI 8,3% (CI 95% 6,6-10). Patients that getting older, lower left ventricular ejection fraction, increase serum creatinine, pre-procedure cardiogenic shock, myocardial infarct and peripheral arterial disease had higher mortality and MACE post PCI. NMCRS in predict risk of mortalitas shown for very low risk 167 patient (53%), low risk 60 patient (19%), moderate risk 47 patient (15%), high risk 10 patient (3%) and very high risk 29 patient (9%). Mortality in very low risk 2 patient (1,2%), low risk no patient, moderate 2 patient (4,25%), high 1 patient (10%) and very high risk 7 patient (24,13%). NMCRS in predict MACE shown for very low risk 101 patient (32%), low risk 128 patient (41%), moderate 52 patient (17%), high 16 patient (5%) very high risk 16 patient (5%). MACE in very low risk 4 patient (3,96%), low risk 7 patient (5,46%), moderate risk 4 patient (7,69%), high risk 5 patient (31,25%) and very high risk 6 patient (37,5%).Conclusion : In-hospital mortality post PCI incidence 3,8% (CI 95% 2,6;5) and in-hospital MACE post PCI incidence 8,3% (CI 95% 6,6;10). The increase of NMCRS score was also followed with the increase of mortality and MACE post PCI.]"

"Latar Belakang: Major Adverse Cardiac Events (MACE) merupakan penyebab utama meningkatnya morbiditas dan mortalitas pada pasien sindrom koroner akut (SKA). Skor prediksi MACE merupakan model yang dapat memprediksi prognosis untuk terjadinya MACE berdasarkan faktor risiko yang dimiliki oleh pasien SKA. Tujuan: Untuk membuat skor prediksi sederhana, mudah dikalkulasi dan aplikatif, yang mampu mengidentifikasi pasien SKA dengan risiko terjadinya MACE. Metode: Dilakukan penelitian kohort retrospektif pada 1002 subyek pasien SKA yang dirawat di intensive coronary care unit RSCM dalam periode waktu Januari 2010 - Desember 2013. Dilakukan evaluasi terhadap faktor risiko jenis kelamin, usia, riwayat keluarga penyakit jantung koroner, diabetes, hemoglobin, leukosit, kreatinin, asam urat, enzim jantung, tekanan darah sistolik, denyut jantung, henti jantung, deviasi segmen ST dan kelas killip. Hasil: Major Adverse Cardiac Events didapatkan pada 112 subyek (9,21%), faktor prediktor jenis kelamin wanita, leukosit, kreatinin, asam urat, enzim jantung, tekanan darah sistolik, denyut jantung, henti jantung dan kelas killip pada analisis multivariat mempergunakan regresi logistik didapatkan berhubungan bermakna dengan MACE dengan RR (95% IK) masing-masing 2.66 (1.35-5.25), 2.06 (1.02-4.16), 2.84 (1.43-5.66), 3.79 (1.90-7.54), 3.26 (1.51-7.05), 3.48 (1.57-7.70), 2.46 (1.20-5.01), 42.04 (18.90-93.51), dan 6.31 (3.19-12.50) serta didapatkan akurasi prediksi yang baik dengan nilai area under curve 0,95, 95% IK, 0,93-0,97. Kesimpulan: Pada pasien SKA didapatkan probabilitas MACE sebesar 3,6% bagi yang memiliki skor total 0-6 dan 83,5% bagi yang memiliki skor > 6 berdasarkan faktor-faktor prediktor jenis kelamin wanita (skor 1), leukositosis (skor 1), peningkatan kreatinin (skor 1), hiperurisemia (skor 2), peningkatan enzim jantung (skor 1), hipotensi (skor 2), takikardi (skor 1), henti jantung (skor 5) dan kelas killip III-IV (skor 3).

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Background: Major Adverse Cardiac Events (MACE) have been known as the cause of increasing morbidity and mortality among acute coronary syndrome (ACS) patients. Prediction score have been used as prognostic to prediction MACE based on risk factor in ACS patients.

Aim: To develop a simple risk score, easily calculated and applicability that can identifies ACS patients with risk for MACE.

Methods: A cohort retrospective study involving 1002 ACS patients in intensive coronary care unit RSCM from January 2010 through December 2013. Sex, age, family history, diabetes, hemoglobin, leucocyte, creatinine, uric acid, cardiac enzyme, systolic blood pressure, heart rate, cardiac arrest, deviation ST segment and killip class as risk factor for MACE was assessed.

Results: Major Adverse Cardiac Events was found in 112 (9,21%) of ACS patients, predictor factor woman, leucocyte, creatinine, uric acid, cardiac enzyme, systolic blood pressure, heart rate, cardiac arrest and killip class in multivariate logistic regression analysis were associated with MACE in ACS patients with (RR 95% CI) 2.66 (1.35-5.25), 2.06 (1.02-4.16), 2.84 (1.43-5.66), 3.79 (1.90-7.54), 3.26 (1.51-7.05), 3.48 (1.57-7.70), 2.46 (1.20-5.01), 42.04 (18.90-93.51), and 6.31 (3.19-12.50) respectively, and the best predictive accuracy for MACE was obtained by area under curve 0,95, 95% CI, 0,93-0,97.

Conclusions: In ACS patients we found probability MACE was 3,6% in patients with total score 0-6 and 83,5% for who have total score > 6 based on predictor factor woman (score 1), leukocytosis (score 1), elevated creatinine level (score 1), hyperuricemia (score 2), elevated cardiac enzyme (score 1), hypotension (score 2), tachycardia (score 1), cardiac arrest (score 5) and killip class III-IV (score 3)."

"Latar Belakang: Studi epidemiologi menunjukkan bahwa DM merupakan salah satu faktor dalam proses terjadinya aterosklerosis dan mempengaruhi secara nyata kesaldtan dan kematian akibat PIK. Dibandingkan dengan penderita bukan DM, penderita DM 2-4 kali lebih banyak menderita P3K dan 2-4 kali lebih banyak mengalami kematian jangka pendek setelah menderita serangan infark miokard akut Dewabrata mendapati 23,2% penderita infark miokard akut yang di rawat di RSCM selama periode 1994-1999. Data di Indonesia tersebut belum banyak menggambarkan bagaimana karakteristik penderita DM tersebut saat terbukti menderita infark miokard akut. Dengan demildan, gambaran penderita DM yang mengalami sindrom koroner akut merupakan ha! yang renting untuk diketahui, baik karakteristik klinis maupun komplikasi yang muncul akibat S1CA tersebut.Tujuan. Penelitian ini ingin mengetahui prevalensi SKA pada penderita DM tipe-2. Penelitian ini juga ingin mengetahui karakteristik klinis dan komplikasi SKA pada penderita DM tipe-2 serta perbandingannya dengan penderita bukan DM. Metodologi. Studi potong lintang retrospektif untuk mengetahui prevalensi dan karakteristik klinis serta studi kohort retrospektif untuk mengetahui perbandingan komplikasi SKA pads penderita DM tipe-2 dan penderita bukan DM, terhadap penderita yang dirawat di ICCU RSCM periode 1 Januari 2001 s.d. 31 Desember 2005.Hasil. Didapatkan data: Prevalensi SKA penderita DM tipe-2: 34,2%. Awitan nyeri penderita DM lebih lama, 70,7% vs 53,4%, p=0,001; 1K 95%; DR=2,259 (1,372-3,719). Nyeri dada tidak khas, didapati penderita DM lebih banyak, 17,3% vs 9,8% p~ 0,041; 1K 95%; OR=1,713 (1,019-2,881)_ Komplikasi: Gagal jantung: penderita DM tipe-2 Iebih banyak: 39,35% vs 16,8%, p=0,001; 11(95%; RR-3,213 (1,992-5,182). Untuk komplikasi syok kardiogenik, didapati penderita DM tipe-2 Iebih banyak, 16,2% vs 8,9%, p= 0,031; IK 95%; RR==1,983 (1,057-3,721). Sedangkan komplikasi kematian didapati penderita DM tipe-2 lebih banyak, 17,3% vs 6,3%, dengan p= 0,001; 1K 95%; RR= 3,116 (1,556-6,239).Simpulan. Didapatkan perbedaan karakteristik klinis SKA antara penderita DM tipe-2 dengan penderita SKA bukan DM. Awitan nyeri lebih lama dan keluhan nyeri dada yang tidak khan, Iebih banyak didapati Dada penderita DM tipe-2. Didapatkan juga perbedaan dalam hat komplikasi SKA. Kejadian gagal jantung, syok kardiogenik dan kematian didapatkan lebih tinggi pada penderita DM tipe-2.

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Background. Epidemiologic studies revealed diabetes mellitus (DM) as one of the factors involved in atherosclerosis process. DM also influence morbidity and mortality-related to coronary artery disease (CAD). Compared to non diabetic patients, type -2 DM patients suffer CAD 2-4 times more often and had increased short term mortality rate due to acute myocardial infarction 2-4 times more likely. During 1994-1999, Dewabrata found 23.2% of all acute myocardial infarction patients was diabetic patients treated in ICCU Cipto Mangunkusumo hospital. Unfortunately these data did not describe the clinical characteristic and complication ACS in type -2 DM patients. Therefore it is important to know the clinical characteristics and ACS related complications in type-2 DM patients.

Objectives. To know the prevalence of type-2 DM among ACS patients, to learn clinical characteristics and ACS related complications in type-2 DM compared to non diabetic patients.

Methods. A cross sectional retrospective study was performed to know the prevalence of ACS in type -2 DM patients and their clinical characteristics_ A retrospective cohort study was performed to compare the differences in ACS related complications in type -2 DM and non diabetic patients who were hospitalized in ICCU Cipto Mangunkusumo hospital during 5 years period (January 1st, 200I December 31st, 2005).

Results. Prevalence of Type-2 DM among ACS patients : 34.2%. The onset of chest pain in type-2 DM patients was longer, 70.7% vs 53.4%, p=0.40l; CI 95%; OR=2.259 (1.372-3.719). Aypical chest pain were often in type-2 DM patients, 17.3% vs 9.8%; p= 0.041; CI 95%; OR 1.713 (L019 2.881). Heart failure as complications were more often found in type-2 DM patients, 39.35% vs 16.8%, p=0.001; CI 95%; RR=3.213 (1.992-5.182), cardiogenic shock were more often found in type-2 DM patients, 16.2% vs 8.9%, p= 0.031; CI 95%; RR 1.983 (1.057-3.721), and death were more often found in type-2 DM patients, 17.3% vs 6.3%, p= 0.001; CI 95%; RR= 3.116 (L556-6.239).

Conclusions. There are differences in clinical characteristics of ACS between type-2 DM patients and non diabetic patients; which are longer onset of chestpain and atypical chestpain more often in type-2 DM patients. There are also differences in complications related ACS between Type-2 DM patients and non diabetic patients; heart failure, cardiogenic shock, and death more often in Type-2 DM patients."

"Latar belakang. Penyakit Ginjal Kronik (PGK) stadium 3 merupakan faktor risiko tinggi terjadi Nefropati Akibat Kontras (NAK) setelah Percutaneous Coronary Intervention (PCI). Hidrasi merupakan salah satu modalitas mencegah NAK, demikian juga N-Acetyl Cysteine (NAC) walaupun efek proteksinya terhadap NAK masih kontroversial.Tujuan. Mengetahui apakah kombinasi hidrasi dan NAC dapat menurunkan risiko NAK pada pasien PGK stadium 3 setelah PCI pada pasien Pelayanan Jantung Terpadu (PJT) RSCM.Methoda penelitian. Studi kohort prospektif mengukur kreatinin plasma sebelum dan 48 jam sesudah PCI, sambil mencatat ada atau tidaknya perlakuan pemberian kombinasi hidrasi dan NAC pada pasien PGK stadium 3 tersebut.Hasil. Terdapat 38 pasien yang memenuhi kriteria penerimaan dan tidak mencakup kriteria penolakan serta menuntaskan penelitian dalam kurun waktu Agustus 2013 ? Januari 2014. Dua puluh tiga (43,4%) dari total 53 pasien PGK stadium 3 yang awalnya masuk studi ini diberikan perlakuan hidrasi dan NAC dan sisanya tidak mendapat perlakuan tersebut. Insidens kejadian NAK terdapat pada 2 dari 38 pasien yang menuntaskan studi (5.26%) yaitu pada kelompok yang tidak mendapat hidrasi dan NAC. Attributable Risk% sebesar 100%, kejadian NAK dapat dihilangkan 100% apabila diberikan hidrasi dan NAC.Simpulan. Kombinasi hidrasi dan NAC cenderung memproteksi kejadian NAKpada populasi PGK stadium 3 yang menjalani PCI

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Background. Stage 3 Chronic Kidney Disease (CKD) is known as a high risk factor for Contrast Induced Nephropathy (CIN) after Percutaneous Coronary Intervention (PCI). Hydration is a modality which is widely used to prevent CIN, and so is N-Acetyl Cysteine (NAC) eventhough there are controversial issues regarding their effectiveness to prevent CIN.

Aim. To know whether hydration and NAC combined has an effect of lowering CIN incidence in stage 3 CKD patients after PCI in Integrated Cardiac Services (ICS) in Cipto Mangunkusumo Hospital.

Methods. A prospective cohort is conducted examining plasma creatinine before and 48 hours after PCI in stage 3 CKD patients, meanwhile recording which patients are given combined hydration and NAC and which are not.

Results. Total 38 patients were collected whom fulfill the inclusion criteria and not meet the exclusion criteria and finished the study, from August 2013 until January 2014. Twenty-three (43,4%) of total 53 patients with stage 3 CKD whom enter the study at first were given hydration and NAC, and the did not received the combination. Incidence of CIN occurred in 2 of 38 patients whom finished this study (5.26%), all belonging to the non-hydration and NAC group. Attributable Risk% is 100%, means CIN can be 100% prevented if hydration and NAC is given.

Conclusion. Combination of Hydration and NAC is indicated to be protective against the risk of CIN in stage 3 CKD patients undergoing PCI."

"ABSTRAKLatar belakang. Mean Platelet Volume (MPV) adalah penanda ukuran aktivitasplatelet. MPV yang lebih besar menunjukkan platelet aktif dan lebih adhesif.Peningkatan MPV berhubungan dengan peningkatan angka kematian akibatarterosklerosis, termasuk IMA-EST. Intervensi koroner perkutan primer (IKPP)merupakan standar terapi pada IMA-EST. Tetapi pada IKPP terdapat masalahObstruksi Mikrovaskular (OMV) yang signifikan. Penelitian ini bertujuanmengetahui hubungan antara MPV dengan MB QuBE pada pasien IMA-ESTyang menjalani IKPP.Metode dan Hasil. Tujuh puluh dua pasien (umur 30 sampai 80 tahun) denganIMA-EST dengan awitan kurang dari 12 jam diikutkan dalam studi ini. Setelahdilakukan IKPP dilakukan pemeriksaan myocardial blush (MB) dengan QuBEdan dilihat hubungannya dengan nilai MPV. Hasil penelitian ini didapatkan hasilrerata MPV adalah 9,6 fl, rerata QuBE adalah 15,3. Analisa hubungan MPVdengan MB QuBE memakai regresi Spearman didapatkan r= 0,03, P=0,78.Kesimpulan. Pada populasi ini tidak terdapat hubungan antara MPV dengan nilaiQuBE dalam menilai MB pasca reperfusi.

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ABSTRACTBackground. Mean Platelet Volume (MPV) is a marker of platelet activity. MPVshowed greater platelet and more active platelet and adhesive. Increased MPV isassociated with increased mortality due to atherosclerosis, including IMA-EST.Primary percutaneous coronary intervention (PPCI) is a standard therapy in IMAEST.But there is a problem on PPCI were microvascular obstruction (MVO)became significant. This study aims to determine the relationship between MPVwith MB QuBE in patients undergoing PPCI.Methods and Results. Seventy-two patients (aged 30 to 80 years) with IMAESTwith onset less than 12 hours were included in this study. After PPCIexamination myocardial blush (MB) with QuBE was done due to views related toMPV value. The results of this research, the average of MPV was 9.6 fl, QuBEaverage is 15.3. Statistic analysis using Spearman regression to look relationshipbetween MPV with MB QuBE obtained with result r = 0.03, P = 0.78.Conclusion. MPV values in this population on the initial entry no relationshipwith QuBE in assessing the value of post-reperfusion MB."

"Rasio Netrofil-Limfosit (RNL) adalah pemeriksaan laboratorium murah dan mudah didapatkan dimanapun, dan saat ini berkembang menjadi penanda luaran pada berbagai kondisi, termasuk pada Sindrom Koroner Akut (SKA). RNL menggabungkan dua jalur inflamasi berbeda (netrofil dan limfosit) untuk memprediksi luarannya, dan beberapa studi telah menunjukkan manfaatnya dalam memprediksi Major Adverse Cardiac Events (MACE). Penelitian ini bertujuan untuk membuktikan manfaat RNL dalam stratifikasi risiko SKA pada populasi Indonesia, dan menentukan nilai titik potong RNL untuk peningkatan risiko MACE. Metode: 380 rekam medis pasien SKA dari Januari 2012-Agustus 2015 diikutkan dalam studi ini. Karakteristik, faktor risiko kardiovaskuler, dan hasil pemeriksaan laboratorium subjek dikumpulkan dan diikuti secara retrospektif untuk menilai kemunculan MACE (aritmia, infark ulang, in-stent restenosis, gagal jantung akut, syok kardiogenik, kematian) selama perawatan. Nilai RNL didapatkan dari pembagian hitung netrofil dan limfosit absolut. Analisis statistik untuk menentukan nilai titik potong RNL dan penyesuaian untuk faktor perancu dilakukan untuk memvalidasi hasil. Hasil: Subjek mayoritas merupakan laki-laki, dengan rerata usia 57,92 tahun. Hipertensi dan merokok merupakan faktor risiko yang paling sering ditemukan. Rerata RNL subjek adalah 4,72, dan MACE ditemukan pada 73 kasus (19,2%). Setelah analisis ROC, didapatkan nilai titik potong sebesar 3.55 (sensitivitas 72,6%, spesitifitas 60,6%, AUC 0.702). Ditemukan bahwa terdapat peningkatan insidens MACE pada kelompok RNL>3.55 (30.47% vs 9.71% pada ≤3.55, p<0.001). Setelah penyesuaian untuk faktor perancu, RNL>3.55 tetap signifikan dalam memprediksi MACE (p=0.02, adujsted OR 2,626 (IK95% 1,401-4,922)). Kesimpulan: RNL>3.55 adalah prediktor independen untuk kejadian MACE.

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Background: Neutrophil-Lymphocyte Ratio (NLR) is a low-cost, readily available laboratory examination in various places, and is currently emerging as a prognostic marker for various conditions, including Acute Coronary Syndrome (ACS). NLR, which combines two different inflammatory pathways (neutrophil and lymphocyte), have been shown by several studies to be useful in predicting Major Adverse Cardiac Events (MACE). This study aims to prove NLR’s use in ACS risk stratification in Indonesians and determine a cutoff level for MACE risk increase.

Methods: 380 ACS patients’ medical records from January 2012 to August 2015 were included in this study. Subjects’ characteristics, cardiovascular risk factors and laboratory findings were collected, and retrospectively followed to evaluate for MACE (arrhythmia, reinfarction, in-stent restenosis, acute heart failure, cardiogenic shock, death) during hospitalization. NLR value was calculated from neutrophil and lymphocyte counts division. Statistical analysis to determine NLR cutoff point for MACE risks, and adjustment for confounding factors were done for results validation.

Results: Subjects were predominantly male, with average age of 57.92 years old. Hypertension and smoking were the most frequent risk factors found. Average NLR was 4.72, and MACE was found in 73 cases (19.2%). After ROC analysis, a cutoff of 3.55 was determined to be satisfactory (sensitivity 72.6%, spesitivity 60.6%, AUC 0.702). It was found that there is a significant increase in MACE incidence in NLR>3.55 (30.47% vs 9.71% in ≤3.55, p<0.001). After adjusting for confounding factors, NLR>3.55 was still significant in predicting MACE (p=0.02, adujsted OR 2,626 (CI95% 1,401-4,922)).

Conclusion: NLR>3.55 is an independent predictor of in-hospital MACE."

"Latar belakang: Populasi usia lanjut dengan penyakit jantung koroner yang menjalani tindakan intervensi koroner perkutan (IKP) menunjukkan tren meningkat. Di sisi lain, kelompok usia lanjut juga dihadapkan dengan major adverse cardiac events pasca tindakan IKP. Identifikasi faktor prediktor yang mempengaruhi terjadinya MACE 30 hari diharapkan dapat menjadi sarana stratifikasi risiko pratindakan, meningkatkan luaran klinis serta menjadi pertimbangan pemilihan strategi intervensi pada pasien PJK usia lanjut.Tujuan: Mengetahui insidens MACE 30 hari, faktor prediktor MACE 30 hari pada pasien PJK usia lanjut yang menjalani tindakan IKP, dan pengembangan model prediksi MACE 30 hari.Metode: studi kohort retrospektif dengan menulusuri rekam medis pasien usia lanjut yang menjalani IKP di RSCM periode Januari 2017-Desember 2021. Dilakukan analisis bivariat chi-square antara faktor usia, jenis kelamin, hiperglikemia saat admisi, kreatinin serum, kelas Killip, status fungsional, status nutrisi, status frailty, dan jenis PJK dengan kejadian MACE 30 hari pascatindakan IKP. Analisis multivariat dan model prediksi dilakukan dengan metode regresi logistik.Hasil: Terdapat 616 subjek penelitian untuk diteliti. Insidens MACE 30 hari pada pasien PJK usia lanjut sebesar 5,4%. Hasil analisis bivariat menunjukkan adanya hubungan antara faktor hiperglikemia saat admisi, kelas Killip, status fungsional, status nutrisi, dan jenis PJK dengan kejadian MACE 30 hari (p<0,05). Hasil regresi logistik menunjukkan Kelas Killip dan jenis PJK merupakan faktor prediktor independen terjadinya MACE 30 hari dengan adjusted OR 8,841 (IK95% 3,339-23,410) untuk kelas Killip dan adjusted OR 3,774 (1,365-10,426) untuk PJK. Model prediksi MACE 30 hari memiliki nilai AUC 0,7995 (IK95% 0,712-0,886)Kesimpulan: MACE 30 hari pada pasien PJK usia lanjut yang menjalani IKP sebesar 5,4% dengan faktor prediktor independen kelas Killip dan jenis PJK.

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Background: The elderly with coronary heart disease undergoing percutaneous coronary intervention (PCI) shows an increasing trend. On the other hand, the elderly group is also faced with major adverse cardiac events after PCI. Identification of predictors that influence the occurrence of 30-day MACE is expected to be a means of preprocedural risk stratification, improve clinical outcomes and become a consideration for selecting intervention strategies in elderly CHD patients.

Objectives: To determine the incidence of 30-day MACE, the predictors of 30-day MACE in elderly CHD patients undergoing PCI, and the development of 30-day MACE prediction model.

Methods: Retrospective cohort study by reviewing medical records of elderly patients undergoing PCI at RSCM for the period January 2017-December 2021. Chi-square bivariate analysis was performed between predictors of age, sex, hyperglycemia at admission, serum creatinine, Killip class, functional status, nutritional status, frailty status, and type of CHD with MACE events 30 days after PCI. Multivariate analysis and prediction models were performed using the logistic regression.

Results: There were 616 research subjects to be studied. The incidence of 30-day MACE in elderly CHD patients was 5.4%. The results of bivariate analysis showed a relationship between hyperglycemia at admission, Killip class, functional status, nutritional status, and type of CHD with 30-day MACE (p<0.05). Logistic regression results showed Killip class and CHD type were independent predictors of 30-day MACE with adjusted OR 8.841 (95%CI 3.339-23.410) for Killip class and adjusted OR 3,774 (1.365-10.426) for type of CHD. The 30-day MACE prediction model has an AUC value of 0.7995 (95%CI 0.712-0.886)

Conclusion: Incidence of 30-day MACE in elderly with CHD undergoing PCI is 5.4% with Killip class and type of CHD as independent predictor factors."

"[ABSTRAKLatar Belakang: Major adverse cardiac events (MACE) merupakan komplikasi serius pada pasien pasca sindrom koroner akut (SKA) sehingga perlu suatu metode yang andal dalam memprediksi kejadiannya. Heart rate variability (HRV) yang menggambarkan ketidakseimbangan sistem otonom pasca SKA dan dapat dilakukan dengan cara yang lebih cepat, mudah, dan praktis berpotensi dapat digunakan sebagai alat stratifikasi risiko MACE.Tujuan: Mengetahui kemampuan HRV awal perawatan yang diukur melalui metode pulse photoplethysmograph (PPG) dalam memprediksi MACE pada pasien pasca SKA yang dirawat di intensive cardiac care unit (ICCU).Metode: Studi ini adalah studi kohort prospektif dengan subjek pasien SKA yang menjalani perawatan di ICCU. Pemeriksaan HRV dilakukan dengan metode PPG dalam 48 jam pasca diagnosis SKA dan adanya MACE dideteksi selama perawatan di ICCU. Komplikasi yang digolongkan sebagai MACE adalah kematian, aritmia fatal, gagal jantung, syok kardiogenik, re-infark, dan komplikasi mekanik. Kemampuan HRV dalam memprediksi MACE dinyatakan melalui AUC (+IK95%) dan untuk parameter yang memiliki kemampuan prediksi baik akan dihitung nilai prediksi positif (PPV) dan nilai prediksi negatif (NPV) beserta IK95% parameter tersebut.Hasil: Sebanyak 75 subjek SKA menjalani pengukuran HRV < 48 jam pasca diagnosis dan sebanyak 18,7% di antaranya mengalami MACE. Parameter LF dengan AUC 0,697 (0,543-0,850) dan rasio LF/HF dengan AUC 0,851 (0,741-0,962) memiliki kemampuan diskriminasi MACE yang paling baik. Parameter LF pada titik potong 89,673 memiliki PPV dan NPV sebesar 13% dan 71%, sedangkan rasio LF/HF pada titik potong 1,718 sebesar 6% dan 50%.Kesimpulan: Variabel LF dan rasio LF/HF merupakan parameter HRV yang dinilai memiliki kemampuan diskriminasi cukup baik terhadap MACE. Kedua variabel tersebut memiliki nilai prediksi negatif sehingga dapat digunakan untuk menyingkirkan kemungkinan terjadinya MACE pada mereka dengan nilai LF > 89,673 dan rasio LF/HR > 1,718.

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ABSTRACTIntroduction: Major adverse cardiac events (MACE) are serious complications needed to be predicted rapidly and accurately in acute coronary syndrome (ACS) patients. Heart rate variability (HRV), reflecting autonomic system imbalance post ACS, is currently available in quick, easy, and practical method. This parameter has potential to be used in MACE risk stratification.Aim: To find the ability of HRV measurement with pulse photoplethysmograph (PPG) method in predicting MACE in post ACS patients hospitalized in intensive cardiac care unit (ICCU).Method: This study is a prospective study using ACS patients in ICCU as its subjects. Measurement of HRV by means of PPG is conducted within 48 hours post diagnosis and the incidence of MACE is identified during ICCU stay. Events classified as MACE are including death, lethal arrhytmia, heart failure, cardiogenic shock, re-infarction, and other mechanical complications. The ability of HRV in predicting MACE was listed as AUC (+95%CI) and for specific HRV parameters which had adequate capability, positive predictive value (PPV) and negative predictive value (NPV) would be calculated.Result: HRV measurements were done in 75 ACS subjects < 48 h post-diagnosis. Among the subjects, 18,7% suffered from MACE. Measurement of LF with AUC 0,697 (0,543-0,850) and LF/HF ratio with AUC 0,851 (0,741-0,962) had the best discrimination values. The former variable had PPV and NPV of 13% and 71% in the cutoff point of 89,673, while the latter had the number of 6% and 50% in the cutoff point of 1,718, respectively.Conclusion: LF and LF/HF ratio are the only HRV variables having adequate MACE discrimination. Both variables have better NPV so that they can be applied in reducing MACE risk in patients with LF > 89,673 and LF/HF ratio > 1,718.;Introduction: Major adverse cardiac events (MACE) are serious complications needed to be predicted rapidly and accurately in acute coronary syndrome (ACS) patients. Heart rate variability (HRV), reflecting autonomic system imbalance post ACS, is currently available in quick, easy, and practical method. This parameter has potential to be used in MACE risk stratification.Aim: To find the ability of HRV measurement with pulse photoplethysmograph (PPG) method in predicting MACE in post ACS patients hospitalized in intensive cardiac care unit (ICCU).Method: This study is a prospective study using ACS patients in ICCU as its subjects. Measurement of HRV by means of PPG is conducted within 48 hours post diagnosis and the incidence of MACE is identified during ICCU stay. Events classified as MACE are including death, lethal arrhytmia, heart failure, cardiogenic shock, re-infarction, and other mechanical complications. The ability of HRV in predicting MACE was listed as AUC (+95%CI) and for specific HRV parameters which had adequate capability, positive predictive value (PPV) and negative predictive value (NPV) would be calculated.Result: HRV measurements were done in 75 ACS subjects < 48 h post-diagnosis. Among the subjects, 18,7% suffered from MACE. Measurement of LF with AUC 0,697 (0,543-0,850) and LF/HF ratio with AUC 0,851 (0,741-0,962) had the best discrimination values. The former variable had PPV and NPV of 13% and 71% in the cutoff point of 89,673, while the latter had the number of 6% and 50% in the cutoff point of 1,718, respectively.Conclusion: LF and LF/HF ratio are the only HRV variables having adequate MACE discrimination. Both variables have better NPV so that they can be applied in reducing MACE risk in patients with LF > 89,673 and LF/HF ratio > 1,718., Introduction: Major adverse cardiac events (MACE) are serious complications needed to be predicted rapidly and accurately in acute coronary syndrome (ACS) patients. Heart rate variability (HRV), reflecting autonomic system imbalance post ACS, is currently available in quick, easy, and practical method. This parameter has potential to be used in MACE risk stratification.Aim: To find the ability of HRV measurement with pulse photoplethysmograph (PPG) method in predicting MACE in post ACS patients hospitalized in intensive cardiac care unit (ICCU).Method: This study is a prospective study using ACS patients in ICCU as its subjects. Measurement of HRV by means of PPG is conducted within 48 hours post diagnosis and the incidence of MACE is identified during ICCU stay. Events classified as MACE are including death, lethal arrhytmia, heart failure, cardiogenic shock, re-infarction, and other mechanical complications. The ability of HRV in predicting MACE was listed as AUC (+95%CI) and for specific HRV parameters which had adequate capability, positive predictive value (PPV) and negative predictive value (NPV) would be calculated.Result: HRV measurements were done in 75 ACS subjects < 48 h post-diagnosis. Among the subjects, 18,7% suffered from MACE. Measurement of LF with AUC 0,697 (0,543-0,850) and LF/HF ratio with AUC 0,851 (0,741-0,962) had the best discrimination values. The former variable had PPV and NPV of 13% and 71% in the cutoff point of 89,673, while the latter had the number of 6% and 50% in the cutoff point of 1,718, respectively.Conclusion: LF and LF/HF ratio are the only HRV variables having adequate MACE discrimination. Both variables have better NPV so that they can be applied in reducing MACE risk in patients with LF > 89,673 and LF/HF ratio > 1,718.]"

"Latar Belakang: Respon antar-individu yang bervariasi terhadap obat antiplatelet (clopidogrel) telah dilaporkan. Perbedaan tingkat metabolisme clopidogrel untuk metabolit aktif tiol menggambarkan variabilitas antar-individu dalam penghambatan trombosit. Sitokrom P4502C19 (CYP2C19) memetabolisme zat metabolit aktif tiol. Carier polimorfisme yang menyebabkan hilangnya fungsi CYP2C19 * 2 dan * 3 alel pada terapi antiplatelet mengakibatkan berkurangnya penghambatan agregasi trombosit. Informasi mengenai hubungan antara CYP2C19 * 2 dan * 3 dengan inhibisi agregasi trombosit pada pasien Sindroma koroner akut di Indonesia masih terbatas. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara dua varian, CYP2C19 * 2 (6816>A) dan CYP2C19 * 3 (636G>A) terhadap penurunan fungsi inhibisi agregasi trombosit. Bahan dan Metode: Desain penelitian cross sectional. Jumlah responden adalah 114 orang (dipilih berdasarkan kriteria inklusi dan kriteria ekslusi). Pemeriksaan polimorfisme CYP2C19 dilakukan dengan menggunakan teknik Real Time-Polymerase Chain Reaction (RT-PCR) TaqMan SNP Genotyping Assays dengan alat dari applied Biosystems 7500 Fast/7900HT Fast Real Time PCR Systems (in standart or 9600 emulation mode). Inhibisi agregasi trombosit diperiksa dengan menggunakan metode Light Transmisi Aggregometry (LTA) dengan alat Helena AggGRAM Analyzer pada penambahan 5umol/L ADP sebagai agregator. Hasil: Distribusi inhibisi agregasi trombosit menunjukkan perbedaan rerata antara responden non carier polimorfisme dengan responden carier polimorfisme (16,9 CI95%: 12,1-21,6 vs 9,4 CI95%: 2,9 - 15,0). Analisis regresi linier menunjukkan bahwa responden carier polimorfisme memiliki inhibisi agregasi trombosit lebih rendah dibandingkan dengan responden non carier polimorfisme. Analisis regresi logistik menunjukkan bahwa responden carier polimorfisme mempunyai odds untuk merespon kurang baik terhadap clopidogrel sebesar 1,9 kali jika dibandingkan dengan responden yang non carier setelah dikontrol oleh variabel umur dan jenis kelamin, hal tersebut mengindikasikan bahwa carier polimorfisme mempunyai inhibisi yang rendah terhadap agregasi trombosit. Kesimpulan: Temuan kami membuktikan adanya hubungan antara CYP2C19 * 2 dan * 3 polimorfisme dengan inhibisi agregasi trombosit.

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Background: Inter-individual variability in response to antiplatelet drugs (clopidogrel) has been reported. The difference in the extent of metabolism of clopidogrel to its active metabolite tiol is the most plausible mechanism for the observed inter-individual variability in platelet inhibition. The cytochrome P4502C19 (CYP2C19) metabolizes the active metabolite tiol. The carrier polymorphisms of reduced - functions of CYP2C19*2 and *3 allele on antiplatelet therapy showed diminished platelet aggregation inhibition. There is limited information on the association between CYP2C19 *2 and *3 with platelet aggregation inhibition in ACS patients generally in Indonesia Population. The aim of this study was to determine the association between two variants, CYP2C19*2 (6816>A) and CYP2C19*3 (636G>A) reduced function with platelet aggregation inhibition.

Material & Method: a cross sectional study was done with 114 subjects (selected by inclusions and exclusions criteria). The CYP2C19 polymorphisms were genotype using the PCR method with TaqMan SNP Genotyping Assays from applied Bio systems 7500 Fast/7900HT Fast Real Time PCR Systems (in standard or 9600 emulation mode). The platelet aggregation inhibition was tested using Light Transmission Aggregometry (LTA) by Helena AggGRAM Analyzer with 5umol/L ADP as aggregator.

Results: The distribution of platelet inhibition aggregation showed difference between respondents with non-carrier polymorphisms and carrier polymorphisms (16,9 CI95%: 12,1 -21,6 vs 9,4 CI95%: 2,9 - 15,0). The linier regression analysist indicated that the carrier polymorphisms have lowest platelet aggregation inhibition compared with non-carrier polymorphisms. The logistic regression analysis indicated that carrier polymorphisms respondents has 1,9 odds to be low response to clopidogrel if compared with non-carrier polymorphisms respondents after adjusted with age and sex and it is indicated that it has low platelet aggregation inhibition.

Conclusion: Our present findings the evidence of an association between CYP2C19 *2 and *3 polymorphisms and platelet aggregation inhibition."