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"Latar belakang: Sebagian besar pasien kanker usia lanjut terdiagnosis pada stadium lanjut dengan peningkatan risiko mortalitas. Identifikasi faktor prediktor yang memengaruhi terjadinya mortalitas satu tahun diharapkan dapat membantu stratifikasi risiko dan menjadi pertimbangan perencanaan pelayanan kesehatan, edukasi, serta persiapan advanced care planning.Tujuan: Mengetahui faktor prediktor mortalitas satu tahun pada lansia dengan kanker padat metastasis dan mengembangkan model prediksi mortalitas satu tahun.Metode: Studi kohort retrospektif dengan menelusuri rekam medis pasien berusia ≥60 tahun dengan kanker padat metastasis berdasarkan pemeriksaan histopatologi atau radiologi yang berobat di poli onkologi RS Kanker Dharmais pada Januari 2020 hingga Desember 2021. Dilakukan analisis bivariat chi-square antara usia, jenis kelamin, ADL, ECOG-PS, jenis kanker, metastasis organ, jumlah metastasis, status nutrisi, komorbid, jumlah komorbid, polifarmasi, gangguan kognitif, gangguan mood, dan best supportive care dengan mortalitas satu tahun sesudah diagnosis kanker metastasis. Analisis multivariat dan model prediksi dilakukan dengan regresi logistik.Hasil: Terdapat 210 subjek dengan hasil analisis bivariat menunjukkan hubungan antara ECOG-PS, status nutrisi, dan pemberian best supportive care dengan mortalitas satu tahun (p<0,05). Hasil regresi logistik menunjukkan faktor prediktor independen mortalitas yaitu metastasis organ (OR 2,468 [IK 95%1,163-5,317]), status nutrisi (OR 1,943 [IK 95%1,048-3,604]), ECOG-PS (OR 2,302 [IK 95%1,241-4,271]), dan best supportive care (OR 3,157 [IK 95%1,288-7,738]). Model prediksi mortalitas satu tahun memiliki nilai AUC 0,705 (IK 95%95%: 0,629 – 0,781).Kesimpulan:Faktor prediktor independen terhadap mortalitas 1 tahun sesudah diagnosis metastasis yaitu metastasis organ, ECOG-PS, status nutrisi, dan best supportive care.

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Background: Identification of patients on their final year is important to help physicians to make personalized treatment plan according to life expectancy and to guide patients and families to prepare an advanced care planning.

Methods: We retrospectively included patients aged ≥60 years who had metastatic solid cancer and in whom geriatric assessment was performed in Dharmais National Cancer Center outpatient clinic. A total of 210 subjects were enrolled between January 2020 to December 2021. The primary analyses were performed from April to May 2023. Chi square analysis was performed between age, sex, ADL, ECOG-PS, type of cancer, visceral metastasis, number of metastatic sites, nutritional status, comorbidity, multimorbidity, polypharmacy, cognitive impairment, mood disorder, and best supportive care with one-year mortality. Variables with p value <0.25 were analysed further with logistic regression to develop a prediction model. The model’s discriminative ability was assessed with model’s area under the curve. Calibration was performed using bootstrap method.

Result: We collected 210 subjects, with median age, 66,5 years. Lung cancer was the most common malignancy (44.3%). Logistic regression results showed visceral metastasis (OR 2.468; 95% CI 1.163-5.317), nutritional status (OR 1.943; 95% CI 1.048-3.604), ECOG-PS (OR 2.302; 95% CI 1.241-4.271), and best supportive care (OR 3.157; 95% CI 1.288-7.738) were independent predictors of one year mortality. The one-year mortality prediction model has an AUC value of 0.705 (95% CI: 0.629-0.781).

Conclusion: Model developed from this study can assist clinicians to identify patients in their last year of life who need palliative care and to prepare an advance care planning. "

"Latar Belakang. Hemodialisis (HD) menjadi pilihan utama terapi pengganti ginjal di Indonesia. Pada tahun 2016, Indonesia memiliki angka mortalitas satu tahun pasien dengan penyakit ginjal kronik (PGK) yang diterapi dengan HD (PGK-HD) lebih tinggi dibandingkan dengan negara lain. Saat ini, Indonesia belum memiliki banyak data terkait insidens dan faktor-faktor yang memengaruhi mortalitas pasien HD kronik.Tujuan. Mengetahui insidens dan faktor-faktor yang memengaruhi mortalitas satu tahun pasien HD kronik.Metode. Penelitian dilakukan dengan desain studi kohort prospektif di Rumah Sakit Dr. Cipto Mangunkusumo (RSCM) sejak 2020 hingga Desember 2021 dengan mengikuti 193 pasien yang masih hidup setelah tiga bulan dilakukan HD inisiasi. Pasien kemudian diobservasi selama sembilan bulan untuk mengetahui insidens mortalitas satu tahun dan faktor-faktor yang berkaitan. Data dianalisis menggunakan analisis bivariat diikuti dengan analisis multivariat cox regresi untuk mengetahui faktor-faktor yang memengaruhi mortalitas.Hasil. Rerata usia pasien penelitian adalah 52 tahun dan etiologi terbanyak pasien PGK-HD yaitu diabetes melitus (DM). Selama observasi, terdapat tiga pasien loss to follow up, dan terdapat 55 pasien meninggal. Insidens satu tahun mortalitas pada penelitian ini adalah 28,49% (IK 95% 22,25-35,42%). Setelah dilakukan analisis multivariat pada penelitian ini didapatkan tiga variabel yang secara signifikan memengaruhi mortalitas yaitu interdialytic weight gain (IDWG) ≥5% (OR 3,58, IK 95% 1,16-10,91), kadar hemoglobin <10 g/dL (OR 3,4, IK 95% 1,79-7,15), dan serum kalsium <8,5 mg/dL (OR 3,79, IK 95% 1,75-8,23).Kesimpulan. Insidens mortalitas satu tahun pasien HD kronik sebesar 28,49%. IDWG ≥5%, kadar hemoglobin <10 g/dL, dan serum kalsium <8,5 mg/dL merupakan faktor-faktor yang memengaruhi mortalitas satu tahun.

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Background. Hemodialysis (HD) is the main kidney replacement therapy in Indonesia. In 2016, Indonesia had a higher one-year mortality rate of chronic kidney disease (CKD) patients treated with hemodialysis (CKD-HD) compared to other countries. Currently, HD centers in Indonesia lack data related to the incidence and factors related to mortality in CKD-HD patients.

Aims. To determine the incidence and factors related to one-year mortality in Chronic HD patients.

Methods. This prospective cohort study was conducted at Dr. Cipto Mangunkusumo Hospital (RSCM) from January 2020 to December 2021, following 193 patients who survived three months after initial dialysis. Patients were observed for nine months to know the one-year mortality incidence and related factors. The data were analyzed using bivariate analysis followed by multivariate cox regression analysis to review factors related to mortality.

Results. The mean age was 52 years-old and the most common etiology of CKD-HD was diabetes mellitus (DM). During follow-up, three patients dropped out due to loss to follow up and 55 patients died. One-year mortality incidence was 28.49% (95% CI 22,25-35,42%) in this study. After multivariate analyses, we found three significant variables for one-year mortality: interdialytic weight gain (IDWG) ≥5% (OR: 3.58, 95% CI: 1.16.88-10.91), hemoglobin level <10 g/dL variables, (OR: 3.4, 95%CI 1.79-7.15), and calcium serum <8.5 mg/dL (OR: 3,79, 95% CI 1.75-8.23).  

Conclusion. The incidence of one-year mortality in CKD-HD patients was 28.49%. IDWG ≥5%, hemoglobin <10 g/dL, and calcium serum <8.5 mg/dL are significant factors related to one-year mortality."