Korelasi MR Spektroskopi Dengan Hasil Histopatologi Pada Tumor Intrakranial Anak Pengamatan Di RSUD Dr. Soetomoo Surabaya Periode Januari 2013-Desember 2015

Latar belakang dan tujuan: Tumor intrakranial merupakan keganasan pada anak yang terbesar ke 2 setelah leukemia dan merupakan penyebab kematian akibat keganasan yang utama pada anak. Akurasi diferensiasi histopatologi tumor intracranial anak sangat penting dalam strategi tatalaksana yang optimal. MRI konvensional dan advanced MRI dapat membedakan tumor high-grade dan low-grade, atau lesi neoplastik dan non neoplastik. Tujuan dari penelitian ini untuk mengetahui korelasi MR spektroskopi dengan tipe jaringan dan grading tumor intrakranial anak. Materi dan metode: Dilakukan studi retrospektif pada 33 sampel tumor intracranial anak di kriteria inklusi di RSUD dr. Soetomo Surabaya Periode Januari 2013 - Desember 2015. Dilakukan evaluasi gambaran MR spektroskopi dengan ROI pada daerah yang solid atau yang paling menyangat. Kemudian dilakukan uji korelasi Eta untuk mengetahui korelasi dari parameter tersebut. Hasil: Pada studi ini didapatkan peningkatan nilai Cho, rasio Cho/Cr, ChoINAA, dan penurunan nilai NAA dan Cr serta rasio NAAlCr. Dan semakin ganas tumor tersebut akan semakin tinggi nilai Cho dan semakin rendah nilai NAA dan Cr pada tumor high grade tampak puncak Lac. Kesimpulan: Tidak didapatkan korelasi antara gambaran MR spektroskopi dengan tipe jaringan, grading histopatologi berdasarkan WHO dan tingkat keganasan tumor intrakranial anak

Age, neutrophil lymphocyte ratio, and radiographic assessment of the quantity of lung edema (RALE) score to predict in-hospital mortality in COVID-19 patients: a retrospective study

Background: Available data suggest that case fatality rate of COVID-19 patients in Surabaya is higher than global cases. Thus, it is important to identify risk factors to prevent the mortality. This study aimed to assess the factors associated with hospital mortality of COVID-19 patients, and develop a prediction score based on these findings. Methods: We analyzed 111 patients, who were diagnosed with COVID-19 based on reverse-transcriptase polymerase chain reaction. The following patient characteristics were obtained from records: age, gender, type of symptoms, onset of symptoms, neutrophil lymphocyte ratio (NLR), absolute lymphocyte count, chest x-ray abnormalities, lung involvement, type of lesion, radiographic assessment of the quantity of lung edema (RALE) score, and mortality. Data were analyzed using SPSS 25.0. Results Multivariate analysis showed that age >50 years (p=0.043), NLR score >5.8 (p=0.016) and RALE score >2 (p=0.002) can predict the mortality of COVID-19 patients in the hospital. ROC curve analysis of the score ability to predict mortality showed an area under the curve of 0.794. The cut-off point is 4.5, with a sensitivity of 96.7% and specificity of 49.4% to predict the mortality of COVID-19 patient in the hospital. Conclusions Age, NLR score and RALE score were associated with mortality of COVID-19 patients in the hospital and might be used as a predictor for mortality of COVID-19 patients in health care centre where radiologists are available. The prediction score may be useful for frontline physicians to effectively manage patients with a higher score to prevent mortality

Age, neutrophil lymphocyte ratio, and radiographic assessment of the quantity of lung enema (RALE) score to predict in-hospital mortality in COVID-19 patients: a retrospective study

Abstract Background: Available data suggest that case fatality rate of COVID-19 patients in Surabaya is higher than global cases. Thus, it is important to identify risk factors to prevent the mortality. This study aimed to assess the factors associated with hospital mortality of COVID-19 patients, and develop a prediction score based on these findings. Methods: We analyzed 111 patients, who were diagnosed with COVID-19 based on reverse-transcriptase polymerase chain reaction. The following patient characteristics were obtained from records: age, gender, type of symptoms, onset of symptoms, neutrophil lymphocyte ratio (NLR), absolute lymphocyte count, chest x-ray abnormalities, lung involvement, type of lesion, radiographic assessment of the quantity of lung edema (RALE) score, and mortality. Data were analyzed using SPSS 25.0. Results Multivariate analysis showed that age >50 years (p=0.043), NLR score >5.8 (p=0.016) and RALE score >2 (p=0.002) can predict the mortality of COVID-19 patients in the hospital. ROC curve analysis of the score ability to predict mortality showed an area under the curve of 0.794. The cut-off point is 4.5, with a sensitivity of 96.7% and specificity of 49.4% to predict the mortality of COVID-19 patient in the hospital. Conclusions Age, NLR score and RALE score were associated with mortality of COVID-19 patients in the hospital and might be used as a predictor for mortality of COVID-19 patients in health care centre where radiologists are available. The prediction score may be useful for frontline physicians to effectively manage patients with a higher score to prevent mortality