High-sensitivity c-reactive protein (hs-CRP) value with 90 days mortality in patients with heart failure

Nursyamsiah,; Hasan, Rumina

doi:10.1088/1755-1315/125/1/012124

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Terjadi karena sindrom klinis kompleks yang diakibatkan oleh kerusakan structural atau fungsional akibat pengisian vantrikel atau pemompa darah [2]. Serta gagal jantung itu sendiri yang dimana jantung gagal untuk memompa yang cukup dalam memenuhi kebutuhan tubuh [3].…”

Section: Pendahuluanunclassified

Algoritma Random Forest Untuk Prediksi Kelangsungan Hidup Pasien Gagal Jantung Menggunakan Seleksi Fitur Bestfirst

Yuliani

2022

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Heart failure is a global health problem that not only causes physical problems, other impacts such as psychological, social, and economic, as well as depression, which affects treatment, worsens functional status, and increases hospitalization rates to death. According to the World Health Organization (WHO), nearly 17.5 million people die from cardiovascular disease, which represents 31% of deaths in the world. Using machine learning to predict the survival of patients with heart failure so that they can take precautions from the start. The stages of the research carried out include the business understanding stage, the data understanding stage, the data preparation stage, the modeling stage, and the evaluation stage. In this study, using feature selection using best-first resulted in 4 very influential features, namely age, injection_fraction, serum_creatinene and time, and handling imbalance class using the class balancer model. Random forest algorithm with 80% percentage split method which produces 91.45% accuracy, mean absolute error 0.1874, incorrectly classified instances 8.55%, precision 0.915, recall 0.914, AUC 0.953.

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Section: Pendahuluanunclassified

Algoritma Random Forest Untuk Prediksi Kelangsungan Hidup Pasien Gagal Jantung Menggunakan Seleksi Fitur Bestfirst

Yuliani

2022

jit

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“…The importance of high-sensitive C-reactive protein (hs-CRP) measurements has also been reported. One small cohort study concluded that about 70% of patients with hs-CRP values above 4.25 mg/L at 90-day hospitalization died, compared to only 6.5% of patients with hs-CRP values below 4.25 mg/L [ 84 ]. Of note, Japanese people are characterized by lower mean CRP levels (one-third to one-fourth) compared to Westerners; however, a large cohort study revealed that higher levels of hs-CRP are associated with an increased risk of cardiovascular death and myocardial infarction, which may be useful in assessing cardiovascular disease risk [ 85 , 86 ].…”

Section: Established Cardiovascular Biomarkers Other Than Gal-3mentioning

confidence: 99%

Galectin-3: A Potential Prognostic and Diagnostic Marker for Heart Disease and Detection of Early Stage Pathology

et al. 2020

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The use of molecular biomarkers for the early detection of heart disease, before their onset of symptoms, is an attractive novel approach. Ideal molecular biomarkers, those that are both sensitive and specific to heart disease, are likely to provide a much earlier diagnosis, thereby providing better treatment outcomes. Galectin-3 is expressed by various immune cells, including mast cells, histiocytes and macrophages, and plays an important role in diverse physiological functions. Since galectin-3 is readily expressed on the cell surface, and is readily secreted by injured and inflammatory cells, it has been suggested that cardiac galectin-3 could be a marker for cardiac disorders such as cardiac inflammation and fibrosis, depending on the specific pathogenesis. Thus, galectin-3 may be a novel candidate biomarker for the diagnosis, analysis and prognosis of various cardiac diseases, including heart failure. The goals of heart disease treatment are to prevent acute onset and to predict their occurrence by using the ideal molecular biomarkers. In this review, we discuss and summarize recent developments of galectin-3 as a next-generation molecular biomarker of heart disease. Furthermore, we describe how galectin-3 may be useful as a diagnostic marker for detecting the early stages of various heart diseases, which may contribute to improved early therapeutic interventions.

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Biomarkers in heart failure: the past, current and future

et al. 2019

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High-sensitivity c-reactive protein (hs-CRP) value with 90 days mortality in patients with heart failure

Cited by 3 publications

References 9 publications

Algoritma Random Forest Untuk Prediksi Kelangsungan Hidup Pasien Gagal Jantung Menggunakan Seleksi Fitur Bestfirst

Algoritma Random Forest Untuk Prediksi Kelangsungan Hidup Pasien Gagal Jantung Menggunakan Seleksi Fitur Bestfirst

Galectin-3: A Potential Prognostic and Diagnostic Marker for Heart Disease and Detection of Early Stage Pathology

Biomarkers in heart failure: the past, current and future

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