Prediktor Respons Tolvaptan Sebagai Strategi Optimalisasi Terapi pada Pasien Gagal Jantung: Kajian Naratif
Abstract
Gagal jantung (GJ) merupakan kondisi tahap akhir dari semua penyakit jantung dan dikaitkan dengan mortalitas, morbiditas, dan pengeluaran kesehatan yang signifikan. Tolvaptan, antagonis reseptor V2, telah digunakan di berbagai negara sebagai terapi tambahan pada terapi diuretik untuk GJ. Walaupun tolvaptan telah terbukti efektif dan aman digunakan, masih terdapat beberapa pasien yang tidak merespons tolvaptan dengan baik. Terdapat indikasi bahwa efek optimal tolvaptan dapat dicapai oleh populasi yang spesifik sehingga identifikasi responder dan prediktor respons tolvaptan menjadi penting dalam mengembangkan rencana pengobatan individu. Tujuan kajian naratif ini adalah memberikan ulasan mengenai efektivitas tambahan tolvaptan serta prediktor-prediktor respons yang dapat digunakan sebagai strategi dalam optimalisasi terapi GJ. Pencarian artikel dilakukan melalui PubMed, Google Scholar, dan Scopus dengan kata kunci predictors, heart failure, dan tolvaptan. Prediktor status respons yang ditemukan dalam penelitian, yaitu osmolalitas urin, U-AQP2/PAVP, usia, kreatinin serum, BUN, BUN/Cr, UUN/BUN, UNa/UCr, BNP, AVP/PAC, CKD dan HFpEF, serta berbagai parameter ekokardiografik. Variasi temuan prediktor dapat disebabkan oleh adanya perbedaan definisi respons dan karakteristik pasien, serta jenis variabel yang dianalisis. Beberapa prediktor yang ditemukan sulit untuk diimplementasikan di beberapa negara dengan fasilitas rumah sakit dan cakupan asuransi kesehatan yang belum memadai. Pada akhirnya, penggunaan prediktor respons diharapkan dapat membantu tenaga kesehatan dalam mempertimbangkan risiko-manfaat suatu terapi individu pada pasien GJ.
Kata kunci: Gagal jantung, prediktor, respons, tolvaptan
Predictors of Tolvaptan Response as a Therapy Optimization Strategy in Heart Failure Patients: A Narrative Review
Abstract
Heart failure (HF) is an end-stage condition of all heart disease and is associated with significant mortality, morbidity, and health expenses. Tolvaptan, a V2 receptor antagonist, is being used in many countries as an adjunct to the diuretic therapy of HF. Although it has been proven effective and safe, some patients do not respond well to the medication. Since there are indications that a specific population can achieve this therapy’s optimal effect, it is essential to identify responders and predictors to develop individual treatment plans. Therefore, this study provides an overview of the effect of tolvaptan and predictors of response that can be used as a strategy in optimizing the treatment of HF. The article searching process was conducted through PubMed, Google Scholar, and Scopus, including predictors, heart failure, and tolvaptan. The predictors identified in the study were urine osmolality, U-AQP2/PAVP, age, serum creatinine, BUN, BUN/Cr, UUN/BUN, UNa/UCr, BNP, AVP/PAC, CKD, HFpEF, and echocardiographic parameters. The variation in results is caused by differences in response definition, patient characteristics, and the types of variables analyzed. Implementing some of these predictors in countries with inadequate hospital facilities and health insurance coverage is complicated. Therefore, the use of response predictors, at any rate, is expected to assist health professionals in considering the risks and benefits of HF therapy.
Keywords: Heart failure, predictor, response, tolvaptan
Keywords
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DOI: https://doi.org/10.15416/ijcp.2022.11.1.66
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