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"Stress proof the heart presents a general picture of behavioral cardiology while focusing in depth on critical specifics. Leading experts in the field explore the psychological aspects of living with arrhythmia, intracardiac device, heart failure, and heart transplant, relating them to psychological characteristics such as pessimism and the feeling of overcommitment. Mainstream treatments, such as stress management and smoking cessation, and emerging interventions, such as computer-based therapies and personality-based techniques."

"The textbook will describe the relationship between human cardiopulmonary system and exercise in a format that is related to the mode of exercise, health status and aging. It will include data regarding exercise training principles and the adaptations of the cardiopulmonary following, anaerobic, resistance and aerobic training. A more in-depth presentation of the cardiopulmonary system adaptations in pressing environments such as: warm, cold and altitude. Therefore, students will experience a depth and extent of content balanced with unique and effective learning features: It will help students find the way by both the text and subject matter. Knowing cardiopulmonary exercise function in health and disease will allow understand new research and findings relevant to cardiovascular status as assessed by cardiopulmonary exercise indices. It will bring together investigational exercise physiologists, cardiologists and scientists who share a wealth of experience needed to judge the cardiovascular status and function, and the impairments of patients with a variety of cardiac dysfunction. This book will provide a comprehensive, updated presentation of the information of the cardiovascular system as a whole, and its individual components."

"Summary:This comprehensive text explains how to interpret chest radiographs and how to report that information in day-to-day practice using case examples, over 400 radiographs, drawings and specimen photographs, straightforward explanations of findings, and the collective experience of its expert authors"

"Since the first case was reported at the end of 2019, COVID-19 has spread throughout the world and has become a pandemic. The high transmission rate of the virus has made it a threat to public health globally. Viral infections may trigger acute coronary syndromes, arrhythmias, and exacerbation of heart failure, due to a combination of effects including significant systemic inflammatory responses and localized vascular inflammation at the arterial plaque level. Indonesian clinical practice guideline stated that (hydroxy)chloroquine alone or in combination with azithromycin may be used to treat for COVID-19. However, chloroquine, hydroxychloroquine, and azithromycin all prolong the QT interval, raising concerns about the risk of arrhythmic death from individual or concurrent use of these medications. To date, there is still no vaccine or specific antiviral treatment for COVID-19. Therefore, prevention of infection in people with cardiovascular risk and mitigation of the adverse effects of treatment is necessary."

"Latar Belakang : Major Adverse Cardiac Events (MACE) adalah penyebab penting morbiditas dan mortalitas perioperatif pasien usia lanjut yang menjalani operasi non kardiak. Geriatric Sensitive Cardiac Risk Index diketahui memiliki akurasi yang baik dalam memprediksi kejadian henti jantung dan infark miokardium pada usia lanjut yang menjalani operasi non kardiak. Namun, belum pernah dilakukan uji performa index tersebut di Indonesia dengan perbedaan karakteristik usia dan komorbiditas yang berbeda.Tujuan: Mengetahui performa index GSCRI dalam memprediksi kejadian MACE (Major Adverse Cardiac Event) pada pasien usia lanjut yang menjalani operasi non kardiak dengan karakteristik usia lanjut pada populasi geriatri Indonesia.Metode : Studi retrospektif berbasis uji prognostik dengan data rekam medis pasien usia > 60 tahun yang menjalani operasi non kardiak di poliklinik perioperatif dan rawat Inap Gedung A yang menjalani operasi pada tahun 2021-2022 di RSCM dengan memasukkan data-data determinan sesuai kalkulator GSCRI dengan luaran berupa persentase kejadian dan dilihat luaran berupa henti jantung dan infark miokardium pasca operasi. Studi ini dianalisa dengan uji diskriminasi dengan Area Under the Curve (AUC).Hasil : Analisa dilakukan pada 225 subjek dengan median usia 65 tahun dengan proporsi MACE sebesar 3.1% (7 subjek) yang mengalami kejadian MACE pasca pembedahan non kardiak. Performa diskriminasi yang baik (AUC 0.888, IK95% 0.831-0.944).Kesimpulan : Index GSCRI memiliki performa diskriminasi baik dalam memprediksi kejadian MACE pasien usia lanjut yang menjalani pembedahan non kardiak.

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Background : Major Adverse Cardiac Events (MACEs) is an important cause of perioperative morbidity and mortality in elderly patients undergoing non-cardiac surgery. The Geriatric Sensitive Cardiac Risk Index is known to have good accuracy in predicting cardiac arrest and myocardial infarction in the elderly undergoing non-cardiac surgery. However, this performance index has never been tested in Indonesia with different age characteristics and different comorbidities.

Objective: We aimed to determine the performance of the GSCRI index predicting the incidence of MACE (Major Adverse Cardiac Event) in elderly patients undergoing non-cardiac surgery with elderly characteristics in the Indonesian geriatric population.

Methods : Retrospective study based on prognostic test with medical record data of patients aged > 60 years who underwent non-cardiac surgery at the perioperative outpatient and inpatient who underwent surgery in 2021-2022 at RSCM by entering determinant data according to the GSCRI calculator with outcomes form of cardiac arrest and myocardial infarction postoperative. This study was analyzed by discrimination test with Area Under the Curve (AUC).

Results : The analysis was carried out on 225 subjects with an median age of 65 years with a proportion of MACE of 3.1% (7 subjects) who experienced MACE events after non-cardiac surgery. GSCRI had good discrimination performance (AUC 0.888, CI95% 0.831-0.944).

Conclusion: GSCRI index has good discriminatory performance in predicting the incidence of MACE in elderly patients undergoing non-cardiac surgery."

"Psychotic disorders are the most severe form of mental illness. The family is the primary supporter of patients with psychosis; as such, the family is likely to experience stress when caring for psychotic patients and assisting in their recovery. Data analysis regarding stress within families could inform the types of support that family members receive. This study aimed to determine stress within families of psychotic patients in Garut, Indonesia. A descriptive study was carried out using a quantitative approach. The samples collected were of the families who visited an outpatient clinic in Garut. A purposive sample of 70 respondents using the Slovin formula (10%) was recruited. Data were collected using the 42 Depression Anxiety Stress Scale (DASS) questionnaire, and univariate analysis was conducted. Results showed that 5.7% of the respondents experienced medium stress, 54.4% experienced mild stress, 41.4% did not experience stress, and only one person (1.4%) experienced severe stress. The findings suggest that families with psychotic patients experience stress. Further research is recommended to examine the factors and levels of stress within families of long-term acute psychotic patients."

"This innovative textbook introduces a new pattern-based approach to learning proof methods in the mathematical sciences. Readers will discover techniques that will enable them to learn new proofs across different areas of pure mathematics with ease. The patterns in proofs from diverse fields such as algebra, analysis, topology and number theory are explored. Specific topics examined include game theory, combinatorics, and Euclidean geometry, enabling a broad familiarity.The author, an experienced lecturer and researcher renowned for his innovative view and intuitive style, illuminates a wide range of techniques and examples from duplicating the cube to triangulating polygons to the infinitude of primes to the fundamental theorem of algebra. Intended as a companion for undergraduate students, this text is an essential addition to every aspiring mathematician’s toolkit."

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

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

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

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

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

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

"Latar belakang: Sindrom curah jantung rendah (low cardiac output syndrome, LCOS) merupakan salah satu morbiditas yang terjadi pascaoperasi jantung terbuka. Angka kejadian LCOS pada pasien pascaoperasi sebanyak 25–65%, sehingga diperlukannya suatu penanda biologis praoperatif untuk menilai keadaan pembedahan yang optimal. NT-proBNP merupakan suatu biomarker yang berpotensi digunakan dalam diagnosis, tata laksana dan prognosis pada populasi pediatrik. Penelitian ini bertujuan untuk mengevaluasi peran NT-proBNP sebagai faktor prediktor terhadap kejadian LCOS pascabedah jantung terbuka.Metode: Studi longitudinal dilakukan di Rumah Sakit Jantung dan Pembuluh Darah Harapan Kita dalam periode November 2018 hingga Maret 2020 dengan merekrut subjek di bawah usia 18 tahun yang menjalani operasi korektif kelainan jantung bawaan. Kadar NT-proBNP prabedah diambil dan dianalisis terhadap kejadian LCOS pascaoperasi.Hasil: Terdapat 159 subjek dilibatkan sebagai subjek penelitian. Angka kejadian LCOS pascaoperasi sebanyak 23,9%. Median NT-proBNP prabedah berbeda bermakna antara pasien yang mengalami LCOS dengan pasien yang tidak mengalami LCOS (1592 pg/mL vs. 227 pg/mL; p = 0,001). Nilai cut-off NT-proBNP prabedah terhadap kejadian LCOS pascaoperasi adalah 400 pg/mL, dengan sensitivitas 78,95%, spesifisitas 64,46%, positive predictive value 41,10%, negative predictive value 90,70% dan diagnostic accuracy 67,92%.Simpulan: NT-proBNP prabedah dapat dijadikan faktor prediktor terhadap kejadian LCOS pascaoperasi jantung terbuka. Nilai cut-off NT-proBNP prabedah terhadap luaran LCOS pascaoperasi adalah 400 pg/mL.

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Background: Low cardiac output syndrome (LCOS) is a common morbidity following open heart surgery in pediatric population. The incidence of postoperative LCOS range from 25 to 65%, indicating the needs for preoperative tool to evaluate optimum condition prior to surgery. NT-proBNP is a biomarker that has potential in diagnosis, management, and prognosis in pediatric population. This study aims to evaluate the role of NT-proBNP as predictive factor for LCOS following cardiac surgery.

Methods: A longitudinal study was conducted in Harapan Kita National Heart Center between November 2018 and March 2020. We recruited subjects below 18 years old who underwent corrective cardiac surgery. NT-proBNP was obtained preoperatively and analyzed for postoperative LCOS.

Results: A total of 159 subjects were enrolled. The incidence of postoperative LCOS was 23.9%. The median of preoperative NT-proBNP was found to be significantly higher in patients experiencing LCOS compared to that of patients without LCOS (1592 pg/mL vs. 227 pg/mL; p = 0.001). The cut-off value for preoperative NT-proBNP to determine postoperative LCOS was 400 pg/mL with sensitivity of 78.95%, specificity of 64.46%, positive predictive value of 41.10%, negative predictive value of 90.70% and diagnostic accuracy of 67.92%.

Conclusions: Preoperative NT-proBNP can be used as predictor for postoperative LCOS following cardiac surgery. The cut-off value of preoperative NT-proBNP in determining postoperative LCOS was found to be 400 pg/mL."