[ABSTRAK
Latar Belakang. Mortalitas keganasan dengan tromboemboli vena lebih tinggidaripada keganasan tanpa tromboemboli vena. Jenis dan/atau histopatologikeganasan, stadium, terapi keganasan berisiko tinggi trombosis vena dalam, lokasitrombus, usia, imobilisasi, kateter vena sentral, D-dimer, infeksi, dan IndeksKomorbiditas Charlson berpengaruh terhadap mortalitas pasien keganasan dengantrombosis vena dalam. Belum ada data insiden kumulatif mortalitas pasienkeganasan dengan trombosis vena dalam di Indonesia dan belum ada modelprediksi yang mudah untuk memprediksi mortalitas pasien keganasan dengantrombosis vena dalam.Tujuan. Mengetahui insiden kumulatif mortalitas dan membuat model prediksiberupa sistem skor prediktor mortalitas 3 bulan pertama pasien keganasan dengantrombosis vena dalam.Metode. Penelitian kohort, 223 pasien keganasan dengan trombosis vena dalam diRSCM, Januari 2011-Agustus 2013, diamati 3 bulan. Variabel bebas: usia, jenisdan/atau histopatologi keganasan, stadium keganasan, terapi risiko tinggi terjaditrombosis vena dalam, lokasi trombus, imobilisasi, penggunaan kateter venasentral, D-dimer awal saat diagnosis trombosis vena dalam, infeksi, dan IndeksKomorbiditas Charlson. Variabel dependen: mortalitas karena semua penyebab.Regresi logistik digunakan untuk mendapatkan sistem skor.Hasil. 61,4% pasien meninggal. Prediktor yang bermakna terhadap mortalitas 3bulan pertama adalah stadium III-IV, imobilisasi, dan infeksi; dengan masingmasingskor 2-3-2. Total skor risiko rendah (0), risiko sedang (2-4), dan risikotinggi (5-7) mempunyai mortalitas berturut-turut 10%, 43%, 72%.Simpulan. Insiden kumulatif mortalitas 3 bulan pertama pasien keganasan dengantrombosis vena dalam adalah 61,4%. Telah ditemukan model prediksi mortalitas 3bulan pertama pasien keganasan dengan trombosis vena dalam.
ABSTRACT
Background. Mortality risk among malignancy with venous thromboembolism(VTE) patients is higher than malignancy patients without VTE. The type and/orhistopathology of malignancy, cancer stage, high risk cancer therapy for deep veinthrombosis (DVT), thrombus location, age, immobilization, central venouscatheter, D-dimer, infection, and Charlson Comorbidity Index influence themortality of malignancy patients with DVT. There is no cumulative incidence dataand an easy prediction model to predict mortality among malignancy patients withDVT.Objective. To know the cumulative incidence of mortality and to make aprediction model (scoring system) to predict the first 3-month mortality amongmalignancy patients with DVT.Methods. A cohort study of 223 malignancy patients with DVT at CiptoMangunkusumo National Hospital between January 2011-August 2013, with 3months of follow-up. Independent variables: age, cancer’s type and/orhistopathology, cancer stage, high risk cancer therapy for DVT, thrombuslocation, immobilization, central venous catheter, D-dimer when the patients werediagnosed with DVT, infection, and Charlson Comorbidity Index. Dependentvariable: all-caused mortality. Logistic regression was used to make a scoringsystem.Results. 61.4% patients died. The significant predictors were stage III-IV cancer,immobilization, and infection; with the scores 2-3-2, respectively. Total score forlow risk patients (0), intermediate risk patients (2-4), and high risk patients (5-7)with the mortality 10%, 43%, 72%, respectively.Conclusions. The cumulative incidence of the first 3-month mortality inmalignancy patients with DVT was 61.4%. There is an applicable predictionmodel to predict the first 3-month mortality among malignancy patients withDVT., Background. Mortality risk among malignancy with venous thromboembolism(VTE) patients is higher than malignancy patients without VTE. The type and/orhistopathology of malignancy, cancer stage, high risk cancer therapy for deep veinthrombosis (DVT), thrombus location, age, immobilization, central venouscatheter, D-dimer, infection, and Charlson Comorbidity Index influence themortality of malignancy patients with DVT. There is no cumulative incidence dataand an easy prediction model to predict mortality among malignancy patients withDVT.Objective. To know the cumulative incidence of mortality and to make aprediction model (scoring system) to predict the first 3-month mortality amongmalignancy patients with DVT.Methods. A cohort study of 223 malignancy patients with DVT at CiptoMangunkusumo National Hospital between January 2011-August 2013, with 3months of follow-up. Independent variables: age, cancer’s type and/orhistopathology, cancer stage, high risk cancer therapy for DVT, thrombuslocation, immobilization, central venous catheter, D-dimer when the patients werediagnosed with DVT, infection, and Charlson Comorbidity Index. Dependentvariable: all-caused mortality. Logistic regression was used to make a scoringsystem.Results. 61.4% patients died. The significant predictors were stage III-IV cancer,immobilization, and infection; with the scores 2-3-2, respectively. Total score forlow risk patients (0), intermediate risk patients (2-4), and high risk patients (5-7)with the mortality 10%, 43%, 72%, respectively.Conclusions. The cumulative incidence of the first 3-month mortality inmalignancy patients with DVT was 61.4%. There is an applicable predictionmodel to predict the first 3-month mortality among malignancy patients withDVT.] |
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