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"Latar Belakang. Salah satu penyebab kematian pada sindrom koroner akut adalah terjadinya komplikasi yang dikenal dengan major adverse cardiac event MACE . Terdapat beberapa prediktor terjadinya MACE pada pasien SKA, diantaranya adalah faktor psikologis yaitu depresi dan ansietas. Saat ini, depresi dan ansietas belum mendapat banyak perhatian padahal memiliki peran penting dalam pengobatan SKA dan prognosisnya. Tujuan. Mengetahui hubungan antara depresi dan ansietas dengan major adverse cardiac event dalam 7 hari pada pasien SKA. Metode. Studi dengan desain kohort prospektif untuk meneliti hubungan antara depresi dan ansietas dengan MACE dalam 7 hari pasien SKA, dengan menggunakan kuisioner HADS pada pasien SKA yang menjalani perawatan di ICCU, Rawat Inap Gedung A RSCM pada bulan Januari ndash; Mei 2018. Analisis bivariat dilakukan untuk menghitung risk ratio RR terjadinya MACE dalam 7 hari pada kelompok depresi dan ansietas dengan menggunakan SPSS. Hasil. Didapatkan jumlah subjek yang memenuhi kriteria inklusi sebanyak 114 orang. depresi didapatkan pada 7 subjek, ansietas didapatkan pada 28,95 subjek, dan MACE didapatkan pada 9,6 subjek. Pada kelompok depesi, MACE 7 hari terjadi pada 12,5 subjek. Pada kelompok Ansietas, MACE 7 hari terjadi pada 21,2 subjek. Pada analisis bivariat didapatkan ansietas meningkatkan risiko terjadinya MACE dalam 7 hari pada pasien SKA, dengan risiko relatif RR sebesar 4,2 IK 1,34 ndash; 13,7. Kesimpulan. Proporsi depresi pada pasien SKA di RSCM sebesar 7 dan proporsi ansietas pada pasien SKA di RSCM sebesar 28,95 . Ansietas pada pasien SKA merupakan prediktor independen terjadinya MACE dalam 7 hari dan meningkatkan risiko terjadinya MACE 7 hari.

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Background. One of the causes of death in acute coronary syndrome is the occurrence of a complication known as major adverse cardiac event MACE. There are several predictors of the occurrence of MACE in patients with ACS, including psychological factors such as depression and anxiety. Currently, depression and anxiety have not received much attention when it has an important role in the treatment of ACS and its prognosis.

Objective. To determine the association between depression and anxiety with major adverse cardiac event within 7 days in patients with acute coronary syndrome.

Method. Study with prospective cohort design to examine the association between depression and anxiety with MACE within 7 days of ACS patients, using HADS questionnaires on ACS patients undergoing treatment at ICCU, Hospitalization RSCM in January May 2018. Bivariate analysis was performed to calculate the risk ratio RR of MACE occurrence within 7 days in the depression and anxiety group using SPSS.

Results. Obtained number of subjects who meet the inclusion criteria of 114 people. depression was obtained in 7 of subjects, Anxiety was obtained in 28,95 of subjects, and MACE was obtained in 9.6 of subjects. In the depression group, MACE 7 days occurred in 12.5 of subjects. In the Anxiety group, MACE 7 days occurred in 21,2 of subjects. In bivariate analysis, anxiety increased the risk of MACE within 7 days in patients with ACS, with relative risk RR of 4,2 IK 1,34 ndash 13,7.

Conclusion. The proportion of depression in patients with SKA in RSCM was 7 and the proportion of anxiety in ACS patients in RSCM was 28,95. Anxiety in patients with ACS is an independent predictor of MACE within 7 days and increases the risk of a 7 day MACE. "

"ABSTRAKLatar Belakang: Hiperglikemia admisi sebagai prediktor MACE pada SKA telah banyak diteliti, namun belum ada yang memperhatikan kesintasannya. Indonesia (ICCU RSCM khususnya), belum memiliki data epidemiologis mengenai hiperglikemia admisi pada SKA maupun pengaruhnya terhadap MACE dan kesintasannya. Penelitian ini dilakukan agar menjadi landasan untuk stratifikasi risiko selama perawatan. Tujuan: Mengkaji hiperglikemia admisi sebagai prediktor MACE dan mengetahui kesintasan terhadap MACE pada berbagai kelompok hiperglikemia admisi pada SKA selama perawatan. Metode: Kohort retrospektif dengan pendekatan analisis kesintasan terhadap 442 pasien SKA yang dirawat di ICCU RSCM Januari 2008-Mei 2012, terbagi 3 kelompok berdasarkan gula darah admisi (GD ≤140mg/dl, 141-200mg/dL, >200mg/dL). Kurva Kaplan Meier digunakan untuk mengetahui kesintasan masing-masing kelompok. Analisis bivariat mengunakan uji log-rank, analisis multivariat menggunakan cox proportional hazard regression. Besarnya hubungan variabel hiperglikemia admisi dengan MACE dinyatakan dengan crude HR dan IK 95% serta adjusted HR dan IK 95% setelah memasukkan variabel perancu. Hasil dan pembahasan: 63 (14,25%) pasien mengalami MACE dengan kesintasan rata-rata 6,373 hari; SE 0,076 dan IK 95% 6,225-6,522. Analisis bivariat menunjukkan hubungan bermakna antara hiperglikemia admisi dengan kesintasan MACE (p<0,001). MACE tercepat terjadi berturut-turut pada GD admisi >200mg/dL, 141-200mg/dL, dan ≤140mg/dL dengan rata-rata kejadian secara berturut-turut pada hari perawatan ke-5,989; 6,078; 6,632. Analisis multivariat menunjukkan hiperglikemia admisi merupakan prediktor independen MACE selama perawatan (Adjusted HR 2,422; IK 95% 1,049-5,588 untuk GD admisi 141-200mg/dL dan Adjusted HR 3,598; IK 95% 1,038-12,467 untuk GD admisi >200mg/dL). Simpulan: Kesintasan MACE pada pasien SKA selama 7 hari perawatan di ICCU RSCM adalah 85,7%, dan terdapat perbedaan kesintasan antara berbagai kelompok hiperglikemia admisi terhadap terjadinya MACE. Semakin tinggi kadar gula darah, semakin buruk kesintasannya (semakin tinggi risiko dan semakin cepat pula terjadi MACE)

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ABSTRACTBackground: Hyperglycemia on admission as a predictor for MACE in ACS has been studied for several circumstances, but none had seen it’s importance for survival. Cipto Mangunkusumo Hospital’s ICCU, had not have any epidemiological data about hyperglycemia on admission in ACS nor it’s influence to MACE and survival. This study was conducted to provide a platform for risk stratification during hospitalisation Aim: To evaluate hyperglycemia on admission as a predictor for MACE and, to describe survival according to hyperglycemia on admission status in patients with ACS. Methods: Retrospective cohort design and survival analysis was used to 442 ACS patients hospitalised at Cipto Mangunkusumo hospital’s ICCU between Januari 2008 and May 2012 that divided into 3 groups according to admission BG (≤140 mg/dL, 141-200 mg/dL and >200 mg/dL). Kaplan Meier curve utilised to evaluate the survival of each group. Bivariate analysis was conducted using Log-rank tes. Multivariate analysis was conducted using Cox proportional hazzard regression. The extend of relation between admission hyperglycemia and MACE was expressed with crude HR with 95% CI and adjusted HR with 95% CI after adjusting for confounders. Results and discussion: MACE was found to happen to 63 (14.25%) patients with average survival of 6.373 days, SE 0.076 and 95% CI 6.225-6.522. Bivariate analysis found statistically significant relation hyperglycemia on between admission and MACE survival (p<0.001). MACE was significantly earlier in admission BG of >200 mg/dL, 141-200 mg/dL and ≤140 mg/dL respectively, with mean hospitalisation day at 5.989, 6.078 and 6.632 in that order. Multivariate analysis shown that hyperglycemia on admission was an independent predictor for MACE during hospitalisation (Adjusted HR 2.422; 95% CI 1.049-5.588 for BG 141-200 mg/dL and Adjusted HR 3.598; 95% CI 1.038-12.467 for BG >200 mg/dL). Conclusion: Survival of MACE in ACS patient during 7 days hospitalisation in ICCU RSCM is 85,7%, and there was a survival difference between different admission hyperglycemia groups. The higher the blood glucose level, signify a worse survival and also faster and higher risk for MACE."

"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)."

"[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: Major adverse cardiac events MACE merupakan masalah yang besar yang meningkatkan morbiditas dan mortalitas pada penderita sindrom koroner akut. Belum banyak data MACE pada penderita sindrom koroner akut SKA pasca intervensi koroner perkutan IKP . Tujuan penelitian: mengetahui faktor faktor yang menjadi prediktor MACE 7 hari penderita SKA yang dilakukan IKP. Metode: Untuk mengetahui faktor-faktor yang menjadi prediktor terjadinya major adverse cardiac events pada penderita sindrom koroner akut yang dilakukan intervensi koroner perkutan dilakukan dengan metode kasus kontrol tanpa penyetaraan. Penelitian melibatkan 461 pasien SKA yang dirawat di unit perawatan intensif jantung RSCM dari tanggal 1 Januari 2015 sampai 30 November 2017. Umur, jenis kelamin wanita, diabetes melitus, hipertensi, gagal jantung, gangguan fungsi ginjal, renjatan kardiogenik, fraksi ejeksi le; 40 , stenosis di left main, aritmia, stenosis 3 arteri koronaria, stenosis di left anterior descending artery LAD dan stenosis di left main LM dilakukan penelitian prediktor terjadinya MACE. Hasil: Renjatan kardiogenik OR=10,65 p=0,001 , stenosis LAD OR=15,23 p=0,02 , fraksi ejeksi le; 40 OR=10,8 p=0,00 , faktor stenosis 3 arteri koroner atau lebih OR= 3,47 p=0,01 , gagal jantung OR=3,1 p=0,02 dan gangguan fungsi ginjal OR=4,76 p=0,00 terbukti sebagai prediktor terjadinya MACE 7 hari pada penderita SKA yang dilakukan IKP. Faktor jenis kelamin wanita, renjatan kardiogenik, stenosis LAD dan fraksi ejeksi le; 40 secara independen berhubungan dengam kejadian MACE pada pasien SKA yang dilakukan IKP, secara berturut-turut OR 95 CI 6.33 1.32-30.50 , 17.56 1.85-167.06 , 26.61 1,38-513,81 , dan 7.6 1.86-31.09. Kesimpulan: Renjatan kardiogenik, stenosis LAD, fraksi ejeksi le; 40 , faktor stenosis 3 arteri koroner atau lebih, gagal jantung dan gangguan fungsi ginjal merupakan prediktor terjadinya MACE 7 hari penderita SKA pasca IKP. Renjatan kardiogenik, stenosis LAD, wanita dan fraksi ejeksi le; 40 merupakan prediktor independen terjadinya MACE 7 hari penderita SKA pasca IKP.

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Introduction: Major Adverse Cardiac Events MACE are a big problem increasing morbidity and mortality to acute coronary syndrome patients. There is not much MACE data of acute coronary syndrome ACS patients who underwent percutaneous coronary intervention PCI . Therefore, the researcher investigated predictors factors of major adverse cardiac events.

Objective: To investigate the predictors factors of seven day MACE on ACS patients underwent PCI.

Method: To investigate the predictors factors of seven day MACE on ACS patients underwent PCI, unmatched case control was conducted. The research involved 461 ACS patients who were hospitalized in intensive coronary care unit ICCU RSCM from 1 January 2015 to 30 November 2017. Age, female gender, diabetes mellitus, hypertension, heart failure, renal dysfunction, cardiogenic shock, ejection fraction le 40, left main LM disease, arrhythmia, 3 vessel diseases, and left anterior descending artery LAD stenosis were investigate as the predictors of MACE.

Results: Cardiogenic shock OR 10.65 p 0.001, LAD stenosis OR 15.23 p 0.02 , ejection fraction le 40 OR 10.8 p 0.00 , 3 vessel diseases OR 3.47 p 0.01 , heart failure OR 3.1 p 0.02 and renal dysfunction OR 4.76 p 0.00 had been as the predictors of seven day MACE on ACS patients underwent PCI. Factors of female gender, cardiogenic shock, LAD stenosis and ejection fraction le 40 were independently predictors of seven day MACE on ACS patients underwent PCI OR 95 CI 6.33 1.32 30.50, 17.56 1.85 167.06, 26.61 1.38 513.81, and 7.6 1.86 31.09 respectively.

Conclusions: Cardiogenic shock, LAD stenosis, ejection fraction le 40, 3 vessel diseases or more, heart failure and renal dysfunction were the predictors of seven day MACE on ACS patients underwent PCI. Cardiogenic shock, LAD stenosis, female gender and ejection fraction le 40 were independent predictors of seven day MACE on ACS patients underwent PCI. The other factors were not significant."

"Latar belakang : Major Adverse Cardiac Events (MACE) merupakan penyebab utama meningkatnya mortalitas pada pasien ST-Elevasi Miokard Infark (STEMI) yang menjalani intervensi koroner perkutan primer (IKPP). Identifikasi faktor prediktor yang mempengaruhi terjadinya MACE selama perawatan diharapkan dapat meningkatkan perawatan dan luaran klinis dari pasien STEMI. Penelitian ini bertujuan untuk mengetahui faktor prediktor MACE selama perawatan pada pasien STEMI yang dilakukan IKPP di RSCM.Metode : Studi kohort retrospektif dengan menelusuri rekam medis pasien yang menjalani IKPP di RSCM periode Januari 2015-Maret 2020. Dilakukan analisa bivariat antara faktor prediktor usia, status merokok, hipertensi, diabetes mellitus, penyakit ginjal kronik, time-to-treatment, kelas killip, fraksi ejeksi ventrikel kiri (FEVK) dan kadar kolesterol LDL dengan kejadian MACE selama perawatan pada pasien STEMI yang menjalani IKPP, menggunakan metode Chi-square. Analisa multivariat dan analisa model prediksi dilakukan dengan metode regresi logistik terhadap variabel dengan nilai p= <0,25 pada analisa bivariat.Hasil : Didapatkan subyek sebanyak 291 pasien untuk diteliti. Major Adverse Cardiac Events selama perawatan didapatkan sebesar 43,3% dengan usia >60 tahun (29,6%), status merokok (61,2%), hipertensi (50,9%), diabetes mellitus (36.1%), penyakit ginjal kronik (6,2%), kelas Killip II-IV (32,2%), FEVK > 50% (57%) dan kadar kolesterol LDL > 100 mg/dl (79,4%). Median time-to-treatment didapatkan sebesar 528 (379-730) menit. Usia, kelas killip dan FEVK mempengaruhi kejadian MACE selama perawatan dengan OR (IK 95%) masing-masing 2,15 (1,22-3,79), 4,34 (2,49-7,56) dan 2,88 (1,72-4,82). Model prediksi MACE selama perawatan pada pasien STEMI yang menjalani IKPP memiliki nilai area under curve (AUC) 0,729 (IK 95% 0,67-0,78).Kesimpulan : Major Adverse Cardiac Events (MACE) selama perawatan pada pasien STEMI yang menjalani IKPP sebesar 43,3%, yang dipengaruhi oleh usia, kelas killip dan FEVK.

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Introduction: Major Adverse Cardiac Events (MACE) is the main causes to increase mortality on ST-Elevation Myocardial Infarction (STEMI) patients who undergo Primary Percutaneous Coronary Intervention (PPCI). In-hospital MACE inducing factor predictors identification is expected to enhance STEMI patients’ care and outcome. This study aims to identify in-hospital MACE factor predictors on STEMI patients with PPCI treatment at RSCM.

Method: Restropective cohort study by tracing medical record on patients with PPCI treatment at RSCM during January 2015 - March 2020. Chi-squared bivariate analysis concluded between predictor factors; age, smoking, hypertension, diabetic mellitus, chronic kidney disease, time-to-treatment, killip class, left ventricle ejection fraction (LVEF) and LDL cholesterol level. Logistic regression is used on multivariat and prediction model analysis on variables with p=<0,25 in bivariate analysis.

Result: This study involves 291 patient subjects. During this study, the occurance of MACE is 43.3% on patients age > 60 years (29,6%), smoking (61,2%), hypertension (50,9%), diabetes mellitus (36,1%), chronic kidney disease (6,2%), killip class II-IV (32,2%), LVEF > 50% (57%) dan cholesterol LDL level > 100 mg/dl (79,4%). Median time-to-treatment is 528 (379-730) minutes. Age, killip class, and LVEF influences in-hospital MACE during PPCI with OR (95% CI) consecutively are 2,15 (1,22-3,79), 4,34 (2,49-7,56) and 2,88 (1,72-4,82). MACE prediction model in this study produces area under curve (AUC) 0,729 (95% CI 0,67-0,78).

Conclusion: In-hospital MACE on STEMI patient after PPCI occurance is 43.3%, influenced by age, killip class, and LVEF."

"Latar belakang: Hipertensi akan meningkatkan kadar asam urat yang akan memperburuk terjadinya Major Adverse Cardiac Events (MACE) pada penderita sindroma koroner akut (SKA). Dengan mengetahui kadar asam urat maka kita memprediksi terjadinya MACE sehingga dapat melakukan tata laksana SKA yang lebih optimal. Metode: Penelitian diakukan secara kohort retrospektif dengan menggunakan analisa kesintasan MACE selama tujuh hari pada penderita hipertensi yang mengalami SKA. Data diambil melalui rekam medis ICCU RSCM selama 2009-2013 secara konsekutif. Analisa data menggunakan kurva Kaplan Meir, Cox proportional hazard regression, analisis multivariat Cox proportional hazard regression. Hasil Penelitian: Dua ratus lima puluh subyek penelitian dibagi dalam dua kelompok hiperurisemia dan tanpa hiperurisemia. MACE lebih banyak terjadi pada kelompok hiperurisemia yaitu 38 pasien dari 125 pasien (30.4%) dibandingkan tanpa hiperurisemia sebesar 16 pasien dari 125 pasien (12.8%). Analisa kesintasan mendapatkan MACE lebih cepat dan bermakna pada penderita hiperurisemia (P<0.001). Analisa Cox proportional hazard regression mendapatkan hasil hazard ratio sebesar 1.676 (IK95% 1.243-2.260). Analisa multivariat mendapatkan adjusted hazard ratio tidak berbeda bermakna pada variabel-variabel karakteristik dasar yang inhomogen yaitu variabel gagal jantung, ejeksi fraksi ventrikel kiri dan gangguan fungsi ginjal. Simpulan: Terdapat perbedaan kesintasan terjadinya MACE selama tujuh hari pada hipertensi yang mengalami SKA dengan hiperurisemia dan kelompok tanpa hiperurisemia dengan Hazard Ratio sebesar 1,676.

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Background: Hypertension has strong correlation with uric acid levels. Many studies shows that hyperuricemia make worse major adverse cardiac events (MACE) in acute coronary syndrome patients. This study wants to assess the clinical value of hyperuricemia to make major adverse cardiac events in seven days in hypertension patients with acute coronary syndrome

Methods: This is a retrospective cohort study by using medical record in intensive care coronary unit RSCM hospital. We evaluated two hundred fifty consecutive inpatients who were hospitalized by acute coronary syndrome with hypertension from 2009 to 2014. Data were analized with Kaplan Meir curved, Cox proportional hazard regression, Cox proportional hazard regression multivariate analysis.

Results: Incidence of MACE in hyperuremic patients were 38 from 125 patients (30.4%) and no hyperuricemic patients were 16 from 125 patients (12.8%). Hyperuricemia was associated higher incidence of MACE with hazard ratio 1.676 (CI 1.254-2.260). After adjustment comorbid factors which are inhomogeneity in baseline characteristics for acute heart failure, kidney dysfunction and left ventricular ejection fraction, hazard ratio were not different with Crude hazard ratio.

Conclusions: Hyperuricemia was associated higher incidence of Major Adverse Cardiac Events with hazard ratio 1.676 in survival analysis in seven days in hypertension patients with Acute Coronary Syndrome."

"Latar Belakang : Indonesia memiliki angka kematian karena penyakit kardiovaskular yang semakin meningkat, dengan angka kematian diperkirakan sebanyak 17,3 juta kematian. Mengingat tingkat mortalitas yang sangat tinggi pada pasien dengan sindrom koroner akut SKA, maka diperlukan sebuah prediktor Major Adverse Cardiac Event MACE yang objektif dan terukur untuk manajemen pasien SKA dalam jangka panjang. Pada SKA dapat ditemukan heterogenitas repolarisasi ventrikel yang dapat dilihat pada elektrokardiografi EKG sebagai QTmax-QTmin, atau dapat disebut sebagai QTD.QTD disinyalir dapat dijadikan penanda untuk risiko MACE pada pasien SKA. Tujuan : Mengetahui peran dispersi QT dan QTcD sebagai prediktor MACE pada pasien sindrom koroner akut SKA. Metode : Penelitian ini merupakan studi kohort retrospektif pada 230 rekam medis pasien SKA yang dirawat di ICCU RSCM dalam rentang waktu Januari 2016 hingga November 2017. EKG standar 12 sadapan saat serangan dianalisis dan dilakukan pengukuran interval QTmax dan QTmin yang kemudian dihitung QTd. Selanjutnya dikoreksi dengan frekuensi nadi menggunakan rumus Bazett QTcD. Hasil : Pemanjangan QTD lebih dari 100mdet dapat menjadi prediktor MACE pada pasien dengan SKA OR 1,25 IK95 0,17 ndash; 2,71 . Setelah dikoreksi dengan frekuensi nadi menggunakan rumus Bazett, pemanjangan QTcD juga dapat menjadi prediktor MACE pada pasien SKA 1,89 IK95 0,05 ndash; 67,37. Kesimpulan : Pemanjangan QTD lebih dari 100mdet atau QTcD lebih dari 12,72mdet dapat menjadi prediktor MACE.

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Background: In Indonesia, the number of death due to cardiovascular disease is rapidly rising and it was approximated to have resulted in 17,3 million deaths. Due to this steadily increasing cases, it is necessary to find a predictor for Major Adverse Cardiac Event MACE that is objective and standardized for long term care of patients with acute coronary syndrome ACS. In ACS, one of the underlying mechanisms is the presence of heterogeneity in ventricle repolarization that is seen on ECG machine as QTmax ndash QTmin, or what is identified as QTD. QTD is hypothesized to have role as marker in patients with MACE in ACS.

Aim: Identify the role of QTD and QTcD as MACE predictor in patients with acute coronary syndrome.

Methods: This study is a retrospective cohort with the subject of 230 ACS patients that was hospitalised on RSCM ICCU among January 2016 to November 2017. Data was taken from medical record and 12 lead ECG during attack were taken and analysed manually to calculate QTmax and QTmin and substraction of both into QTD. Followed by correction using the heart rate with Bazett formula QTcD.

Result: QTD prolongation of more than 100ms in patients with ACS may lead to MACE OR 1,25 IK95 0,17 ndash 2,71 . Following correction with Bazett formula, QTcD prolongation is also predictor 1,89 IK95 0,05 ndash 67,37.

Conclusion: QTD prolongation of more than 100ms or QTcD of more than 12.72ms might lead to MACE "

"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: Stratifikasi risiko dilakukan pada pasien dengan sindrom koroner akut non-elevasi segmen ST (SKA-NEST) saat admisi di instalasi gawat darurat. Iskemia miokardium menginduksi dispersi repolarisasi ventrikel yang bisa dinilai dengan interval Tpe pada EKG permukaan. Pemanjangan interval Tpe telah diketahui sebagai prediktor luaran buruk pada berbagai populasi dan interval Tpe yang dikoreksi dengan laju nadi (cTpe) memiliki nilai prediksi yang lebih baik. Belum diketahui apakah interval cTpe berhubungan dengan Major Adverse Cardiac Events (MACE) dalam-rumah-sakit pada pasien SKA-NEST. Tujuan: Untuk mengetahui manfaat interval cTpe pada EKG saat admisi pada pasien SKA-NEST sebagai modalitas stratifikasi risiko yang ekonomis, sederhana dan tersedia luas. Metode: Penelitian ini merupakan studi kohort retrospektif pada pasien dengan SKA-NEST. Data demografi, parameter klinis dan hasil laboratorium diambil dari rekam medis. EKG saat admisi di instalasi gawat darurat (IGD) dikumpulkan dan dilakukan pengukuran inteval Tpe secara manual dengan metode tangent. Corrected Tpe (cTpe) dihitung menggunakan rumus Bazzet. Luaran yang diteliti adalah composite MACE selama perawatan di rumah sakit, termasuk kematian, syok kardiogenik, infark miokardium akut berulang, edema paru akut, henti jantung, dan takiaritmia ventrikel maligna. Dilakukan analisis ROC untuk menilai performa interval cTpe yang dapat memprediksi MACE. Analisis bivariat dan multivariat digunakan untuk menilai pemanjangan interval cTpe sebagai prediktor kejadian MACE dalam-rumah-sakit. Hasil: Total terdapat 403 pasien yang masuk analisis akhir. Median usia adalah 60 tahun, mayoritas laki-laki (77,9%) dan terjadi MACE pada 25 kasus (6,2%). Performa interval cTpe dalam memprediksi kejadian MACE lebih baik dibandingkan dengan interval Tpe (AUC 0,727 dan 0,648). Diperoleh titik cut off interval cTpe yang optimal adalah 90,77 ms dengan sensitivitas 76,0% dan spesifisitas 63,2%. Setelah disesuaikan dengan faktor determinan lain, pemanjangan interval cTpe berhubungan dengan kejadian MACE dalam-rumahsakit (HR 2,86, IK 95% 1,08-7,56, p = 0,034). Kesimpulan: Risiko MACE dalam-rumah-sakit lebih tinggi pada kelompok dengan pemanjangan interval cTpe dibandingkan dengan kelompok tanpa pemanjangan interval cTpe. Penelitian selanjutnya perlu dilakukan untuk validasi sehingga modalitas ini bisa dimanfaatkan dalam praktik klinis.

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Background: Risk stratification is performed at the emergency department in patients with non-ST-segment-elevation acute coronary syndrome (NSTEACS). Myocardial ischaemia induced ventricular reloparization dispersion and can be assessed with Tpe interval. Tpe interval has been recognized as a predictor of adverse outcomes in various populations and correcting the Tpe with heart rate (cTpe) improved the predictive value. The association of cTpe interval with inhospital Major Adverse Cardiac Events (MACE) in NSTEACS patients was unknown.

Objective: This study aims to evaluated the cTpe interval on ECG at admission of SKA-NEST patients as an economical, simple and widely available risk stratification modality.

Methods: This was a retrospective cohort study in patients with SKA-NEST. Demographic data, clinical parameters and laboratory results were taken from medical records. The ECG at admission in emergency room (ER) was collected and manually measured by the tangent method. Corrected Tpe (cTpe) was calculated using the Bazzet formula. The composite MACE during hospitalization were the endpoint, including death, cardiogenic shock, recurrent myocardial infarction, acute pulmonary edema, cardiac arrest, and malignant ventricular tachyarrhythmias. ROC analysis was performed to evaluate performance of the Tpe and cTpe interval that could predict MACE optimally. Bivariate and multivariate analyzes were used to assess the prolongation of the Tpe interval as a predictor of in-hospital MACE.

Results: A total of 403 patients were included in the final analysis. The median age was 60 years, the majority were male (77,9%) and MACE occurred in 25 cases (6.2%). The performance of cTpe in predicting MACE events was better than Tpe (AUC 0.727 and 0.648). The optimal cut off point for the cTpe interval was 90.77 ms with sensitivity of 76.0% and specificity of 63.2%. After adjusting for other determinant factors, the prolongation of cTpe interval was associated to in-hospital MACE (HR 2,86, 95% CI 1,08-7,56, p = 0,034).

Conclusion: The risk of in-hospital MACE was higher in the group with prolonged cTpe interval compared with the group without prolonged cTpe interval. Prospective studies are needed to validate whether this modality can be used in clinical practice."