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"Latar Belakang: Restenosis katup mitral didefinisikan sebagai penurunan mitral valve area (MVA) <1,5 cm2 atau penurunan MVA >50% pasca KMTP. Restenosis katup mitral bersifat time-dependent dan dikaitkan dengan major adverse cardiovascular events (MACE), seperti gagal jantung kongestif, kematian, operasi penggantian katup dan KMTP ulangan. Mekanisme penyebab restenosis katup mitral belum diketahui secara pasti tetapi diduga berkaitan dengan proses inflamasi kronik. Tujuan: Mengetahui hubungan inflamasi kronik dengan restenosis katup mitral pasca KMTP. Metode: Total 40 pasien stenosis katup mitral yang telah menjalani tindakan KMTP dikelompokkan menjadi kelompok kasus (n=20) dan kelompok kontrol (n=20) berdasarkan matching. Diambil data sekunder dari rekam medis berupa karakteristik pasien (jenis kelamin, usia dan profilaksis sekunder), data ekokardiografi pre KMTP (Skor Wilkins dan MVA pre KMTP), dan data ekokardiografi post KMTP (MVA pasca KTMP). Dilakukan pemeriksaan ekokardiografi (MVA follow-up) dan pemeriksaan lab (kadar IL-6). Kemudian dilakukan analisis statistik untuk mencari hubungan antara kadar penanda inflamasi kronik serta variabel bebas lainnya dengan restenosis katup mitral. Hasil: Median konsentrasi IL-6 adalah 2,39 (0,03 - 11,4) pg/mL. Tidak terdapat perbedaan statistik yang bermakna kadar IL-6 pada kedua kelompok (nilai p >0,05). Penurunan MVA adalah 0,13 (0 - 0,62) cm2/tahun dengan laju penurunan MVA ≥0,155 cm2/tahun merupakan prediktor kejadian restenosis katup mitral (nilai p <0.001, OR = 46,72, 95% CI 6,69 - 326,19). Simpulan: Inflamasi kronik yang dinilai dengan IL-6 tidak berhubungan dengan restenosis katup mitral.

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Background: Mitral valve restenosis is defined as decreased mitral valve area (MVA) <1.5 cm2 or decreased MVA >50% after PTMC. It is time-dependent and associated with major adverse cardiovascular events (MACE), such as congestive heart failure, cardiac death, mitral valve replacement, and redo PTMC. The mechanism is not yet known; however, chronic inflammation may have a role.

Objective: To know the association between chronic inflammation and mitral valve restenosis after PTMC.

Methods: A total of 40 patients with mitral valve stenosis who underwent successful PTMC were matched and classified into restenosis/case group (n=20) and no restenosis/control group (n=20). Secondary data was taken from electronic medical records such as patient characteristics (gender, age & 2nd prophylaxis), echocardiography data before PTMC (Wilkins’ score and MVA before PTMC), and echocardiography data after PTMC (MVA after PTMC). Follow-up echocardiography examination (follow-up MVA) and laboratory assessment of chronic inflammation marker (IL-6) were done on all patients. Statistical analyses were done to look for an association between the level of chronic inflammation marker & other independent variables with mitral valve restenosis.

Results: Median IL-6 concentration was 2.39 (0.03 - 11.4) pg/mL. There was no statistically significant difference in IL-6 levels between both groups (p-value >0.05). MVA decrement was 0.13 (0 - 0.62) cm2/year with rate of MVA decrement ≥0.155 cm2/year was predictor of mitral valve restenosis (p-value <0.001, OR = 46.72, 95% CI 6.69 - 326.19).

Conclusion: Chronic inflammation assessed by IL-6 was not associated with mitral valve restenosis"

"Latar Belakang : Infeksi COVID-19 dewasa ini telah diketahui memiliki implikasi jangka panjang meski periode akut telah tertangani, suatu fenomena yang dinamakan long COVID syndrome atau sindrom pasca COVID-19. Patofisiologi dari kejadian ini masih belum diketahui dengan jelas. Studi melaporkan bahwa sindrom pasca COVID-19 melibatkan beberapa organ, diantaranya adalah sistem kardiovaskular. Pemeriksaan nilai LV GLS dan RV LS pada ekokardiografi dinilai akurat dalam mendeteksi disfungsi miokard dan fibrosis endomiokardial. Selain itu, hingga saat ini, data mengenai faktor-faktor saat admisi sebagai prediktor terhadap kejadian sindrom pasca COVID-19 masih terbatas. Tujuan : Mengetahui nilai parameter ekokardiografi LV GLS dan RV LS sebagai penanda disfungsi miokard dan fibrosis jantung serta mengidentifikasi faktor-faktor saat admisi yang berpengaruh terhadap kejadian sindrom pasca COVID-19.Metode : Penelitian ini adalah deskriptif-analisis menggunakan metode potong lintang. Pemilihan subjek dilakukan dengan metode consecutive sampling. Pemeriksaan ekokardiografi termasuk pemeriksaan global longitudinal strain (GLS) dilakukan oleh dua orang observer 4 bulan pasca perawatan rumah sakit. Selanjutnya, analisis multivariat berupa regresi linear dilakukan untuk mengetahui faktor admisi yang berpengaruh terhadap perbedaan nilai GLS pada kelompok penelitian. Hasil : 100 subjek dengan komorbiditas kardiovaskular dan riwayat COVID-19 memenuhi kriteria dan syarat penelitian. Ditemukan nilai penurunan nilai LV-GLS pada kelompok ini. Subjek dengan komorbiditas kardiovaskular tanpa riwayat COVID-19 (n=31, kontrol 1) yang telah melalui proses matching berdasarkan usia, gender, dan faktor resiko, serta subjek sehat (n-31, kontrol 2) sebagai pembanding validitas GLS. Terdapat perbedaan signifikan rerata nilai LV GLS antar 3 kelompok (p<0.05, rerata ±SB -16.17 ± 3.379, -19.48 ± 1.141, -21.48 ± 1.777 berturut-turut untuk kelompok kasus, kontrol 1, kontrol 2), dengan nilai paling rendah pada kelompok kasus. Faktor saat admisi yaitu status CAD memiliki hubungan yang signifikan (p 0.038) dengan penurunan LV GLS pada pasien post covid-19 dengan komorbid kardiovaskular. Kesimpulan : Terdapat penurunan nilai LV GLS yang signifikan pada sindrom pasca COVID-19 disertai komorbiditas kardiovaskular. CAD merupakan prediktor penurunan fungsi maupun fibrosis jantung sebagai manifestasi sindrom pasca COVID-19.

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Background : Recently, COVID-19 infection has been known to have a longer implication, even after the initial acute phase has been managed, a phenomenon termed as long COVID syndrome or “sindroma pasca COVID-19”. The exact pathophysiological mechanism of this event is still unknown. Previous studies reported that long COVID syndrome involves multiple organs, one of which is the cardiovascular system. Measurement of echocardiography LV GLS and RV LS values are reported to be accurate to detect myocardial dysfunction and endomyocardial fibrosis. Moreover, up until now, data regarding admission factors as predictors for long COVID syndrome incidences are still limited.

Objective : Assessing echocardiography LV GLS and RV LS values as a marker for myocardial dysfunction and heart fibrosis and identifying admission factors which may predict the incidence of long COVID syndrome

Methods : This is an observational study with a cross-sectional using a consecutive sampling method. Echocardiography including global longitudinal strain (GLS) measurement was done by two examiners 3 months after initial hospitalization. Multivariate analysis linear regression was subsequently used to investigate admission factors which are associated with differences in GLS measurement.

Results : Total of 100 subjects with cardiovascular comorbidities and prior COVID-19 infection were enrolled. Echocardiography examination showed lower GLS values in this group compared to the normal population. Age, sex and risk factors-matched subjects with cardiovascular comorbidity without a history of COVID-19 (n=31, Control 1) and healthy subjects (n-31, Control 2) were subsequently used as comparisons to validate GLS results. There were significant differences in LV-GLS levels between the three groups, with the lowest values measured in the case group (p<0.05, mean ±SD -16.17 ± 3.379, -19.48 ± 1.141, -21.48 ± 1.777 respectively for case, control 1, and control 2 groups). A history of coronary artery disease upon admission was found to be associated with decreased LV GLS values in recovered COVID-19 patients with cardiovascular comorbidity.

Conclusion : LV GLS values significantly decrease in long COVID syndrome with cardiovascular comorbidities. Having a previous history of CAD upon admission may serve as predictors of deteriorated functions or heart fibrosis as manifestations of long COVID syndrome. "

"Latar Belakang: Studi sebelumnya telah menyebutkan bahwa kontraksi ventrikel prematur (KVP) beban tinggi dapat menjadi faktor resiko terhadap kejadian disfungsi ventrikel kanan, sebagaimana kejadian disfungsi ventrikel kiri atau kardiomiopati terkait KVP (KM-KVP) pada umumnya. Sampai saat ini masih belum terdapat penelitian khusus sebelumnya yang menganalisa antara besar persentase beban KVP idiopatik aksis inferior terhadap penurunan fungsi ventrikel kanan.Tujuan: Mengetahui hubungan antara besar persentase beban KVP idiopatik aksis inferior terhadap disfungsi ventrikel kanan menggunakan ekokardiografi speckle tracking.Metode: Studi observasional potong lintang pada 24 pasien dengan KVP idiopatik aksis inferior beban tinggi yang didiagnosis di Poliklinik Aritmia dan dilakukan pemeriksaan ekokardiografi speckle tracking (global longitudinal strain / GLS dan free wall longitudinal strain / FWLS) di Poliklinik Ekokardiografi di Rumah Sakit Jantung dan Pembuluh Darah (RSJPD) Harapan Kita sejak 1 Januari - 31 Maret 2023. Analisis statistik dilakukan untuk mengetahui hubungan antara besar persentase beban KVP terhadap disfungsi ventrikel kanan menggunakan ekokardiografi GLS dan FWLS ventrikel kanan.Hasil: Dari 24 subjek penelitian, proporsi jenis kelamin perempuan lebih tinggi dibandingkan laki-laki (17 orang berbanding 7 orang), dengan mayoritas morfologi KVP adalah blok berkas cabang kiri (BBCKi) aksis inferior sebanyak 83.3%. Rerata besar beban persentase KVP pada populasi penelitian ini adalah 18.6 ± 9.6%. Besar persentase beban KVP secara bivariat ditemukan berhubungan dengan disfungsi ventrikel kanan melalui parameter GLS ventrikel kanan (p = 0.031), namun dari analisis multivariat tidak didapatkan hubungan secara independen terhadap disfungsi ventrikel kanan (p = 0.063, OR 1.18, 95% CI 0.99 - 1,41). Besar persentase beban KVP tidak berhubungan terhadap disfungsi ventrikel kanan melalui parameter FWLS ventrikel kanan dari analisis bivariat dan multivariat.Kesimpulan: Tidak terdapat hubungan antara persentase beban KVP terhadap disfungsi ventrikel kanan pada populasi pasien KVP idiopatik aksis inferior beban tinggi di RSJPD Harapan Kita.

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Background: Previous studies have proved that high burden premature ventricular contractions (PVC) can be a risk factor for right ventricular dysfunction as similar to left ventricular dysfunction or PVC-induced cardiomyopathy (PIC) in general. There has been no previous specific study that analyzed how large percentage of idiopathic inferior axis PVC burden that could lead to right ventricular dysfunction.

Aim: To evaluate the association between idiopathic inferior axis PVC burden percentage and right ventricular dysfunction using speckle tracking echocardiography examination.

Methods: A cross-sectional observational study on 24 patients with high burden of idiopathic inferior axis PVC underwent right ventricular global longitudinal strain (GLS) and free wall longitudinal strain (FWLS) using speckle tracking echocardiography in outpatient clinic of National Cardiovascular Center Harapan Kita (NCCHK) from January 1st - March 31st, 2023. Statistical analysis performed to find out the association between the percentage of idiopathic inferior axis PVC burden and right ventricular dysfunction using right ventricular GLS and FWLS.

Results: From the 24 study subjects, the proportion of female sex was higher than male (17 people compared to 7 people), with the majority of PVC morphology was inferior axis and left bundle branch block (LBBB) pattern as much as 83.3%. The average of the percentage of PVC burden in this study population is 18.6 ± 9.6%. The percentage of PVC burden was found to be associated bivariately with right ventricular dysfunction through the right ventricular GLS parameter (p = 0.031), but there is no independent association with right ventricular dysfunction from multivariate analysis (p = 0.063, OR 1.18, 95% CI 0.99 – 1.41). The percentage of PVC burden had no association to right ventricular dysfunction through right ventricular FWLS parameters from both bivariate and multivariate analysis.

Conclusion: There is no independent association between the percentage of PVC burden and right ventricular dysfunction in patients with high burden of idiopathic inferior axis PVC"

"Latar Belakang : Deteksi infark pada populasi sindroma koroner akut non elevasi segmen ST (SKA-NEST) pada praktik klinis sulit dan menyebabkan kegagalan stratifikasi risiko yang tepat. Pemeriksaan enzim jantung tidak tersedia secara luas, memiliki waktu tunggu yang lama, dan membutuhkan biaya yang tidak sedikit.Tujuan : Mengetahui akurasi dasar dan akurasi paska training kecerdasan buatan Learning Intelligent for Effective Sonography (LIFES) dalam mendeteksi infark miokard pada populasi SKA-NEST berdasarkan gambaran ekokardiografiMetode : Penelitian ini merupakan studi diagnostik yang mengevaluasi kemampuan kecerdasan buatan berbasis deep learning LIFES dalam mendeteksi infark miokard pada pasien SKA-NEST di RSJPDHK pada tahun 2019-2023 berdasarkan gambaran ekokardiografi. Dilakukan transfer learning menggunakan dataset penelitian dan cross validation untuk mengetahui tingkat akurasi model baru paska transfer learning.Hasil : Sebanyak 721 subjek memenuhi kriteria inklusi dan eksklusi dari tahun 2019-2023. 310 diantaranya adalah pasien infark miokard non elevasi segmen ST (IMA-NEST). Sebanyak 67,8 % subjek adalah laki-laki dengan median usia 61 tahun. Median waktu dilakukan ekokardiografi dari admisi adalah tiga hari. Terdapat perbedaan signifikan pada beberapa parameter ekokardiografi pada kelompok infark vs non infark berupa median FEVKi 53% vs 63 % (p < 0,001), median LVEDD 48,8 mm vs 44,6 mm (p < 0,001), median rerata E/E’ 12,0 vs 9,8 (p < 0,001) dan median LAVI 30 ml/m2 vs 26 ml/m2 (p < 0,001). Performa diagnostik LIFES terhadap infark didapatkan paling baik pada tampilan PLAX dengan sensitivitas 88,7 % dan spesifisitas 20,4 % AUC 0,55 pada LIFES fase 2 model 1. Paska transfer learning, model LIFES-MI menghasilkan akurasi terbaik pada tampilan A4C dengan sensitivitas 41,3 % dan spesifisitas 83,7% AUC 0,61.Kesimpulan Model kecerdasan buatan LIFES fase 2 model 1 memiliki sensitivitas yang baik untuk deteksi infark miokard, sedangkan model LIFES-MI memiliki spesifisitas yang baik dalam mendeteksi infark miokard berdasarkan gambaran ekokardiografi pada populasi SKA-NEST.

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Background: Detecting myocardial infarction in the non-ST segment elevation acute coronary syndrome (NSTEACS) population in clinical practice is challenging and leads to failure in appropriate risk stratification. Cardiac enzyme assays are not widely available, have long waiting times, and incur significant costs.

Objective: To determine the baseline accuracy and post-training accuracy of the Learning Intelligent for Effective Sonography (LIFES) artificial intelligence in detecting myocardial infarction in the NSTEACS population based on echocardiographic findings.

Method: This study is a diagnostic study that evaluates the ability of deep learning-based artificial intelligence LIFES in detecting myocardial infarction in NSTEACS patients at RSJPDHK from 2019 to 2023 based on echocardiographic videos.. Transfer learning was performed using the research dataset and cross-validation to determine the accuracy level of the new model post-transfer learning.

Results: A total of 721 subjects met the inclusion and exclusion criteria from 2019 to 2023. Among them, 310 were non-ST segment elevation myocardial infarction (NSTEMI) patients. 67.8% of the subjects were male with a median age of 61 years. The median time from admission to echocardiography was three days. There were significant differences in several echocardiographic parameters between the infarct and non-infarct groups, including median EF% 53% vs 63% (p < 0.001), median LVEDD 48.8 mm vs 44.6 mm (p < 0.001), median mean E/E' 12.0 vs 9.8 (p < 0.001), and median LAVI 30 ml/m2 vs 26 ml/m2 (p < 0.001). LIFES diagnostic performance for infarction was best achieved in the PLAX view with sensitivity of 88.7% and specificity of 20.4%, AUC 0.55 in LIFES phase 2 model 1. Post-transfer learning, the LIFES-MI model produced the best accuracy in the A4C view with sensitivity of 41.3% and specificity of 83.7%, AUC 0.61.

Conclusion: The Learning Intelligent for Effective Sonography (LIFES) phase 2 model 1 has good sensitivity for detecting myocardial infarction, while the LIFES-MI model has good specificity in detecting myocardial infarction based on echocardiographic findings in the NSTEACS population."

"Endokarditis Infektif (EI) merupakan masalah kesehatan serius dengan angka insidensi, morbiditas dan mortalitas yang tinggi. Perburukan fungsi ginjal terkait antibiotik intraperawatan terjadi cukup sering dan dikaitkan dengan luaran klinis yang lebih buruk. Tujuan penelitian ini adalah mengetahui hubungan antara perburukan fungsi ginjal terkait antibiotik dengan mortalitas intraperawatan pada pasien EI sisi jantung kiri. Dilakukan studi kohort retrospektif terhadap 315 pasien dengan EI aktif sisi jantung kiri pada periode 1 Januari 2013–31 Mei 2023. Dilakukan analisis bivariat dan multivariat untuk mengetahui prediktor mortalitas intraperawatan, mortalitas jangka panjang, lama rawat dan kebutuhan terapi pengganti ginjal. Terdapat 315 pasien dengan EI aktif sisi jantung kiri dimana 169 pasien dengan perburukan fungsi ginjal terkait antibiotik dan 146 pasien tanpa perburukan fungsi ginjal. Angka mortalitas intraperawatan sebesar 20,3% sedangkan pada pasien dengan perburukan fungsi ginjal terkait antibiotik mortalitas intraperawatan sebesar 34,9%. Dari analisis multivariat didapatkan faktor yang berhubungan dengan mortalitas intraperawatan adalah perburukan fungsi ginjal terkait antibiotik (OR 8,6), kejadian sepsis (OR 11,16), penggunaan antibiotik inkomplit (OR 10,49), lama perawatan <21 hari (OR 5,16), ukuran vegetasi >10 mm (OR 5,04) dan penggunaan terapi pengganti ginjal (OR4,74). Dilakukan perhitungan untuk skoring prediktor mortalitas intraperawatan. Hasil analisis kurva ROC untuk perhitungan skor prediktor mortalitas intraperawatan didapatkan AUC 0,927; IK 95% 0,886 – 0,968; p < 0,001; H-L 0,610) dengan sensitivitas 89,1%, spesifisitas 84,5%. Kejadian perburukan fungsi ginjal terkait antibiotik berhubungan dengan mortalitas intraperawatan dengan OR 8,6.

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Infective endocarditis (IE) is a serious health problem with high incidence, morbidity, and mortality rates. Intrahospital antibiotic-related worsening of renal function occurs quite frequently and is associated with worse clinical outcomes. The objective of this study was to determine the relationship between antibiotic-related worsening of kidney function and intrahospital mortality in left-sided IE patients. A retrospective cohort study was conducted on 315 patients with active IE on the left side of the heart from January 1, 2013 to May 31, 2023. Bivariate and multivariate analyses were conducted to determine predictors of intrahospital mortality, long-term mortality, length of stay, and the need for renal replacement therapy. There were 315 patients with active IE on the left side of the heart, of whom 169 had antibiotic-related worsening of kidney function, and 146 did not. The intrahospital mortality rate was 20.3%, whereas the intrahospital mortality rate was 34.9% in patients with worsening kidney function due to antibiotics. According to multivariate analysis, factors associated with intra-treatment mortality were antibiotic-related worsening of kidney function (OR 8.6, p=0.001), incidence of sepsis (OR 11.16, p=<0.001), incomplete use of antibiotics (OR 10.49, p=<0.001), length of stay <21 days (OR 5.16, p=0.003), vegetation size >10 mm (OR 5.04, p=0.006), and use of renal replacement therapy (OR 4.74, p=0.008). We obtained the predictor score for intrahospital mortality. The results of the ROC curve analysis for calculating intrahospital mortality predictor scores showed an AUC of 0.927 (95% CI 0.886–0.968; p < 0.001; H-L 0.610) with a sensitivity of 89.1% and a specificity of 84.5%. Worsening kidney function related to antibiotics was associated with intrahospital mortality."