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"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: 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: 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."

"Pasien sindrom koroner akut (SKA) dengan penyakit ginjal kronik (PGK) diketahui memiliki risiko mortalitas lebih tinggi dibandingkan dengan pasien SKA tanpa disertai PGK. Setiap tahunnya, dilaporkan 9% kematian akibat penyakit jantung koroner (PJK) yang disertai PGK, yaitu hampir 10 – 20 kali lebih tinggi dibanding populasi umum. Pada pasien SKA dengan PGK terjadi proses inflamasi kronik yang memainkan peranan penting dalam perubahan morfologi dan fungsional sel endotel yang mengakibatkan akselerasi proses aterosklerosis yang berkaitan dengan keparahan koroner pasien SKA dan berujung meningkatkan kejadian major adverse cardiac event (MACE). Penelitian ini bertujuan untuk mengetahui peran rasio neutrofil limfosit (RNL) sebagai prediktor MACE dan korelasinya dengan derajat keparahan koroner pada pasien SKA dengan PGK. Digunakan 2 desain pada penelitian ini, yaitu studi nested case control dengan 31 subjek yang mengalami MACE sebagai kelompok kasus dan 28 subjek yang tidak mengalami MACE sebagai kelompok kontrol dari total 59 pasien SKA dengan PGK, serta studi korelatif dengan pendekatan potong lintang. Pada penelitian ini didapatkan area under curve (AUC) sebesar 60,8% dengan nilai titik potong RNL terhadap kejadian MACE adalah 3,62 dengan sensitivitas 74,2% dan spesifisitas 42,9%. Tidak terdapat perbedaan dan hubungan yang bermakna antara nilai RNL dengan kejadian MACE (p>0,05; OR=2,16 [95%CI=0,63 – 7,51]) dan tidak terdapat korelasi antara nilai RNL dengan derajat keparahan koroner yang dinilai menggunakan skor Gensini (r=0,10; p=0,474).

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Acute coronary syndrome (ACS) patients with chronic kidney disease (CKD) are known to have a higher risk of mortality compared to ACS patients without CKD. Every year, 9% of deaths due to coronary heart disease (CHD) accompanied by CKD reported, which is almost 10 – 20 times higher than the general population. In ACS patients with CKD, chronic inflammation play an important role in morphological and functional changes in endothelial cells that resulted in atherosclerosis acceleration associated with coronary severity in SKA patients, thus lead the increase in major adverse cardiac events (MACE). This study aims to determine the role of neutrophil lymphocyte ratio (NLR) as a predictor of MACE and its correlation with the degree of coronary severity in ACS patients with CKD. Two designs were used in this study, first using nested case control study with 31 subjects who experienced MACE as a case group and 28 subjects who did not experience MACE as a control group of a total of 59 ACS patients with CKD. Second using correlative study with a cross-sectional approach. Area under curve (AUC) of 60.8% was obtained with an NLR cutoff value for MACE is 3.62 with 74.2% sensitivity and 42.9% specificity. There is no significant difference and relationship between NLR and MACE (p>0.05; OR= 2.16 [95%CI=0.63 – 7.51]), also no correlation between NLR and coronary severity degree assessed using Gensini score (r = 0.10; p = 0.474)."

"ABSTRAKPendahuluanStudi sebelumnya menunjukkan tebal adiposa epikardial pasien sindrom koroner akut (SKA) berhubungan dengan cardiovascular adverse event dalam tiga puluh hari.TujuanMengetahui peran tebal adiposa epikardial dalam memprediksi cardiovascular adverse event pada pasien SKA di ICCU RS Cipto Mangunkusumo.MetodeDilakukan studi kohort prospektif berbasis studi prognostik pada seratus dua puluh satu pasien SKA. Tebal adiposa epikardial dinilai dengan ekokardiografi transtorakal pada fase sistolik akhir (end-systole) tampilan parasternal long axis dari tiga siklus jantung. Dilakukan follow-up dalam tiga puluh hari pada semua pasien.HasilNilai median tebal adiposa epikardial adalah 2,23 mm (kisaran 0,37 – 10,8 mm). Cardiovascular adverse event terjadi pada 23 pasien (19%) dalam 30 hari; 9 subjek mengalami syok kardiogenik, 3 subjek mengalami infark miokard berulang, 4 subjek mengalami stroke iskemik, dan 7 subjek meninggal. Titik potong terbaik tebal adiposa epikardial dalam memprediksi cardiovascular adverse event adalah 2,95 mm dengan sensitivitas 65%, spesifisitas 70%, nilai duga positif 34%, nilai duga negatif 90% dengan AUC sebesar 0,690 (IK 95% 0,564-0,816, p=0,005).SimpulanTebal adiposa epikardial 2,95 mm dapat digunakan untuk memprediksi cardiovascular adverse event dalam tiga puluh hari pada pasien SKA dengan sensitivitas 65%, spesifisitas 70% dan AUC 0,690.

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ABSTRACTBackgroundPrevious study showed that epicardial adipose thickness in acute coronary syndrome (ACS) patients was associated with cardiovascular adverse events during thirty days.ObjectiveTo determine the role of epicardial adipose thickness in predicting cardiovascular adverse events in ACS patients at ICCU of Cipto Mangunkusumo HospitalMethodA prospective cohort prognostic study was conducted on one hundred twenty-one ACS patients. Epicardial adipose thickness was measured with transthoracic echocardiography at end-systole from parasternal long-axis view of three cardiac cycles. 30 days follow-up was obtained in all patients.ResultsMedian value of epicardial adipose thickness was 2.23 mm (range 0.37-10.8 mm). Cardiovascular adverse events were developed in 23 patients (19%) during 30 days; 9 cases of cardiogenic shock, 3 of recurrent myocardial infarction, 4 of ischemic stroke, and 7 of death. Best cut-off point of epicardial adipose thickness in predicting cardiovascular adverse events was 2.95 mm with a sensitivity of 65%, specificity 70%, positive predictive value 34%, negative predictive value 90% and AUC of 0.690 (95% CI 0.564 - 0.816, p = 0.005).ConclusionEpicardial adipose thickness with cut-off point 2.95 mm could be used to predict cardiovascular adverse events during thirty days in ACS patients with a sensitivity of 65%, specificity 70% and AUC of 0.690."

"Latar Belakang: Kematian kardiak dan reinfark merupakan MACE yang sering terjadi pada pasien SKA. Gelombang fragmented QRS fQRS merupakan penanda iskemia atau jejas miokardium dini pada pasien sindrom koroner akut SKA. Peran fQRS terhadap MACE 30 hari perlu diteliti lebih lanjut pada pasien SKA. Tujuan: Mengetahui peran fQRS sebagai prediktor MACE berupa reinfark dan kematian kardiak pada pasien SKA di ICCU selama 30 hari. Metode: Studi dengan desain kohort retrospektif untuk meneliti peran gelombang fragmented QRS sebagai prediktor MACE selama 30 hari pasien SKA, dengan menggunakan data rekam medis pasien SKA yang menjalani perawatan di ICCU RSCM pada bulan Juli 2015 - Oktober 2017. Analisis bivariat dan multivariat dengan logistik regresi dilakukan untuk menghitung crude risk ratio RR dan adjusted RR terjadinya MACE dalam 30 hari antara kelompok fQRS terhadap kelompok non-fQRS dengan menggunakan SPSS. Hasil: Dalam 2 tahun, didapatkan jumlah subyek yang memenuhi kriteria inklusi dan eksklusi sebanyak 353 orang. Fragmented QRS didapatkan pada 60,9 subyek, dengan lokasi terbanyak di inferior 48,8 dan rerata onset 34 jam. Proporsi kejadian MACE 30 hari lebih tinggi pada grup fQRS vs non fQRS 15,8 vs 5,8. Pada analisis bivariat didapatkan fQRS meningkatkan probabilitas terjadinya MACE selama 30 hari pada pasien SKA, dengan risiko relatif RR sebesar 2,72 IK 95 1,3 -5,71. Sedangkan pada analisis multivariat, didapatkan adjusted RR 2,79 IK 95 1,29 - 4,43, setelah memperhitungkan 6 faktor perancu, yakni skor GRACE risiko sedang-berat, eGFR kurang dari 60 ml/menit, LVEF kurang dari 40, riwayat diabetes melitus, usia lebih dari 45 tahun dan hipertensi. Laju eGFR merupakan faktor perancu yang memberikan perubahan paling besar, yakni 12,4. Kesimpulan: Proporsi fQRS pada SKA selama perawatan di ICCU RSCM sebesar 60,9. Fragmented QRS yang muncul pada fase akut pada pasien SKA yang dirawat di ICCU merupakan prediktor independen terjadinya MACE dalam 30 hari dan meningkatkan probabiltas terjadinya MACE 30 hari berupa kematian kardiak dan reinfark pada pasien SKA.

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Background: Cardiac death and reinfarction are most common major adverse cardiac events in acute coronay syndrome. Fragmented QRS fQRS in 12 leads ECG is associated with myocardial injury and ischaemia in coronary artery disease. The role of fQRS as predictor of 30 days MACE cardiac death and reinfarction needs to be evaluated in acute coronary syndrome patients in Indonesia.

Objectives: To identify proportion and role of fQRS as a predictor 30 days MACE in acute coronary syndrome patients.

Methods: A cohort retrospective study was conducted by using secondary data acute coronary syndrome patients in Intensive Cardiac Care Unit Cipto Mangunkusumo Hospital from July 2015 ndash October 2017. Analysis was done by using SPSS statistic for univariate, bivariate and multivariate logistic regression to obtain crude risk ratio and adjusted risk ratio of probability 30 days MACE patient with fQRS.

Result: Three hundred and fifty three subjects during 2 years were included in this study. Fragmented QRS was found in 60,9 subjects, more frequent in inferior leads 48,8, with mean onset 34 hours. Major adverse cardiac events were higher in fQRS vs non fQRS group 15,8 vs 5,8. Bivariate analysis showed higher probability of 30 days MACE in ACS patient RR 2,72, 95 CI 1,3 5,71. Multivariate analysis were done by using logistic regression with GRACE score moderate and high risk, low eGFR 60 ml min, low LVEF 40, diabetes melitus, age more than 45 years and hypertension as confounding factors, revealed adjusted RR was 2,79 95 CI 1,29 ndash 4,43. Low eGFR was a potential confounder in this study.

Conclusion: The fQRS proportion in ACS patients during ICCU admission was 60,9. Acute and persistent fQRS developed in ACS during hospitalization was an independent predictor of 30 days MACE cardiac death and reinfarction.Keywords fQRS, acute coronary syndrome, Major adverse cardiac event."

"ABSTRAKLatar belakang Major adverse cardiovascular events (MACE) masih menjadi target yang dicegah dalam tata laksana sindroma koroner akut (SKA). Rasio netrofil-limfosit (RNL) terkait dengan dampak atau prognosis pada pasien dengan penyakit ini. Kondisi psikologis berperan sebelum, selama dan setelah infark. Psikoterapi suportif singkat (PSS) ditujukan untuk membangun kepercayaan diri, mengurangi cemas dan memperbaiki mekanisme koping terhadap penyakit ini.Tujuan Penelitian ini bertujuan membandingkan pengaruh PSS terhadap MACE, RNL dan gejala psikis pada pasien SKA yang dirawat di Intensive Cardiac Care Unit (ICCU).Metode Penelitian ini merupakan uji klinis random tidak tersamar ganda untuk membandingkan kelompok yang mendapat intervensi PSS dengan kontrol pada pasien SKA yang dirawat di ICCU RSUPN Cipto Mangunkusumo mulai 18 April hingga 30 Juli 2019 terhadap MACE, RNL dan gejala psikis. Intervensi PSS berlangsung 5 sesi selama rawatan di ICCU, kelompok PSS dan kontrol akan difollow-up pada saat sebelum pulang rawatan terhadap MACE (fatal aritmia, infark miokard rekuren, syok kardiogenik dan kematian), RNL dan gejala psikis yang diukur menggunakan inventori Hospital Anxiety Depression Scale (HADS). Data dianalisis menggunakan uji Chi square dan t tidak berpasangan untuk distribusi normal dan uji Fisher dan Mann-Whitney untuk yang tidak terdistribusi normal.Hasil Hasil menunjukkan kelompok PSS terdapat 32 pasien, dan kontrol sejumlah 35 pasien. Median usia sebesar 55 (32-86) tahun. Proporsi lelaki sebesar 74,6%. Rerata lama rawatan ICCU yaitu 5 (2-13) hari. Tidak ada kejadian MACE, namun insiden major adverse event lain (stroke) 3,13% pada PSS dan 5,71% pada kontrol. Rerata RNL kelompok PSS sebesar 3,35(2,26) dan kontrol 3,63(1,79), p 0,346 (95% KI -1,27-0,71). Delta rerata RNL 1,49, p 0,098 (95% KI -0,69 - 3,67); tanpa CHF 3,87(5,48), 0,33(2,54) pada kontrol, p 0,007 d 0,79; tanpa CAD 3,88(4,55), 0,84(2,51) pada kontrol, p 0,014, d 0,77. Rerata skor HAD-Ansietas kelompok PSS sebesar 4,63(3,52) dan kontrol 4,31(2,62), p 0,874 (95% KI -1,19 - 1,82). Delta rerata skor HAD-Ansietas sebesar -0,01, p 0,988 (95% KI -1,74-1,71). Rerata skor HAD-Depresi kelompok PSS sebesar 4,91 (2,63) dan kontrol 4,37 (3,05), p 0,447 (95% KI -0,86 - 1,93). Delta rerata skor HAD-Depresi sebesar 1,62, p 0,149 (95% KI -0,17 -3,41); dengan CHF 1,73(3,58), -1,27(2,8) pada kontrol, p 0,041, d 0,86; dengan CAD 2,08(3,4), -0,8(3,3) pada kontrol, p 0,035, d 0,80.

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ABSTRACTBackground Major adverse cardiovascular events (MACE) is still the preventive target in management acute coronary syndrome (ACS). Neutrophil-lymphocyte ratio (NLR) is regarded to the impact or prognosis in this patients. Psychological conditions play a role before, during and after infarction. Brief supportive psychotherapy (BSP) is stressed in terms of building confidence, reduce anxiety and improve coping mechanisms of this illness.Aim The present study aims to compare influence of BSP on MACE, NLR, and psychological symptom in ACS patients to control one in ICCU.Method The study is a double opened clinical randomized study which was compared with controls before and after intervention to observe the influence of BSP on the patients with ACS who were treated in ICCU of RSUPN Cipto Mangunkusumo - Jakarta in April, 18th to July, 30th 2019 on MACE, NLR and psychological symptom. The BSP intervention was about 5 sessions as long as inpatient in ICCU, the BSP group and the control ones would be followed by the end of the day in ICCU for the MACE (fatal arrhythmias, recurrent myocardial infarction, cardiogenic shock, and death), NLR, and psychological symptom which it was measured with hospital anxiety depression scale (HADS) inventory. Data were analyzed with Chi square and independent t-test for normally distributed data and Fisher and Mann-Whitney test for abnormally ones.Results The study results showed 32 patients in brief supportive psychotherapy group and 35 patients in control one. The median age was 55(32 - 86) years old. The male proportion was 74,6%. The median length of stay in ICCU was 5(2-13) days. There was no MACE, but incident of other major adverse event (stroke) 3,13% in BSP and 5,71% in control. The mean NLR was 3,35(2,26) in BSP group and 3,63(1,79) in control one, p 0,346 (95% CI -1,27 - 0,71). The mean delta of NLR was 1,49, p 0,098 (95% CI -0,69 - 3,67); without CHF 3,87(5,48), 0,33(2,54) in control group, p 0,007 d 0,79; without CAD 3,88(4,55), 0,84(2,51) in control one, p 0,014, d 0,77. The mean of HAD-Anxiety score was 4,63(3,52) in BSP group and 4,31(2,62) in control one, p 0,874 (95% CI -1,19 -1,82). The mean delta of HAD-Anxiety score was -0,01, p 0,988 (95% CI -1,74 - 1,71). The mean of HAD-Depression score was 4,91(2,63) in BSP group and 4,37(3,05) in control one, p 0,447 (95% CI -0,86 - 1,93). The mean delta of HAD-Depression score was 1,62, p 0,149 (95% CI -0,17 - 3,41); with CHF 1,73(3,58), -1,27(2,8) in control group, p 0,041, d 0,86; with CAD 2,08(3,4), -0,8(3,3) in control one, p 0,035, d 0,80. Conclusions There was no MACE, but stroke incident lower in BSP than control one. There was influence of BSP on NLR in ACS patients without CHF or CAD, and psychological symptom in ACS ones with CHF or CAD."

"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 "

"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."