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"Latar belakang : Bayi berat lahir rendah adalah bayi dengan berat badan <2500. Bayi BBLR berkontribusi terhadap 60 ? 80% kematian neonatal. Berat lahir harus diukur dengan baik, namun menurut WHO dan UNICEF 2004 separuh bayi yang lahir di negara berkembang tidak ditimbang, karena alat timbang tidak ada, rusak, atau bahkan tidak pernah dikalibarasi, sehingga perlu ukuran pengganti yang dapat mengidentifikasi BBLR. Tujuan dari penelitian ini adalah didapatkannya ukuran antropometri (lingkar kepala, lingkar lengan atas, lingkar dada, lingkar paha dan lingkar betis) alternatif pengganti yang paling akurat untuk mengidentifikasi BBLR pada bayi yang lahir dari perempuan Etnis Jawa di Kecamatan Bumiayu Kabupaten Brebes tahun 2014.Metode : Penelitian analitik dengan desain studi cross sectional. Variabel yang diukur adalah berat badan, lingkar kepala, lingkar lengan atas, lingkar dada, lingkar paha dan lingkar betis bayi baru lahir. Ukuran dilakukan dalam rentang waktu 0 hingga 24 jam setelah kelahiran bayi. Semua ukuran dilakukan pencatatan dengan ukuran 0,1 cm terdekat dan 0.1 gram untuk berat badan. Metode statistik standar diadopsi untuk kekuatan hubungan (r), penentuan nilai AUC, titik potong (cut of point) sensitivitas, spesifisitas, NDP dan NDN.Hasil penelitian menunjukan bahwa lingkar betis memiliki tingkat sensitivitas tertinggi (88.9%) dibandingkan dengan ukuran lainnya. Dengan nilai duga positif (NDP) dan nilai duga negatif (NDP) yang juga paling tinggi. Dengan cut of point 9.75 cm, yaitu jika lingkar betis bayi <9.75 cm maka, bayi dikatakan BBLR.

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Background: Low birth weight infants are those with birth weight less than 2500 grams. LBW infant cases contribute to 60-80% of neonatal deaths. In fact, every birth weight should be measured accurately. Still, according to WHO and UNICEF in 2004, half of those infants born in the developing countries were not weighed because of some reasons: the scales did not exist, damaged, or even never been calibrated. Thus, it is necessary to identify surrogate measurement of LBW. The purpose of this research is to collect anthropometric measurements (head, upper-arm, chest, thigh, and calf circumference) as an accurate alternative to identify LBW infants born of women at Sub-district of Bumiayu, Brebes Regency in 2014.Methods: This study was conducted through cross-sectional design. The variables measured were head, upper-arm, chest, thigh circumference, and calf circumference, and also weight of newborns. Measurements were made in a span of 0 to 24 hours after birth. All measurements were recorded to the nearest size of 0.1 cm and 0.1 gr for weight loss. The method of standard statistic was adopted for the strength of the relationship (r), the determination of the value of AUC, cut point (cut of point) sensitivity, specificity, NDP and NDN.The results : Showed that the calf circumference had the highest level of sensitivity (88.9%) compared with other measurements. Having cut of point 9.75 cm, calf circumference showed the highest positive predictive value (NDP) and negative predictive value (NDP). In other words, infants with calf circumference less than 9.75 cm are those born with LBW."

"Latar belakang: Model prediksi risiko operasi memiliki peranan penting pada tindakan operasi katup jantung. Perubahan karakter pasien dan fasilitas pembedahan dalam waktu tertentu dapat mempengaruhi nilai prediksi skor risiko operasi.Tujuan: Mengetahui perbandingan validasi EuroSCORE II, skor Ambler dan skor Harapan Kita dalam memprediksi mortalitas di rumah sakit pasca operasi katup jantung.Metode: Dilakukan studi kohort retrospektif terhadap 416 pasien yang menjalani operasi katup jantung pada periode November 2018 hingga Desember 2019. Data berasal dari rekam medis dengan metode sampling konsekutif. Didapatkan nilai kalibrasi dan diskriminasi EuroSCORE II, skor Ambler dan skor Harapan Kita.Hasil: Angka kematian yang diobservasi sebesar 6,7%. EuroSCORE II, skor Ambler and skor Harapan Kita memiliki kalibrasi yang baik (uji Hosmer-Lemeshow p=0,065, p=0,233 and p=0,314). Kemampuan diskriminasi skor dalam memprediksi kematian di rumah sakit EuroSCORE II (AUC 0,763; 95% IK;0.660-0.867), diikuti skor Ambler (AUC 0.748; 95% IK; 0.655-0.841) dan skor Harapan Kita (AUC 0,694; 95% IK; 0.584-0.804)Kesimpulan: EuroSCORE II, skor Ambler dan skor Harapan Kita memiliki validasi yang cukup baik. Kalibrasi ketiga skor baik dengan kalibrasi skor Harapan Kita relatif lebih baik dari dua skor lainnya, sedangkan nilai diskriminasi skor Harapan Kita di bawah EuroSCORE II dan skor Ambler.

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Background: Preoperative risk prediction models have important role in cardiac valve surgical management. Changing in patient characteristics and surgical facilities over time, might affect the predicting value of those scoring system.

Objective: This study aimed to compare the validation of EuroSCORE II, Ambler score and Harapan Kita score in predicting in-hospital mortality at patients underwent heart valve surgery

Methods: Cohort restrospective study was performed at 416 patients who underwent heart valve surgery from November 2018 to December 2019. Data was taken from the medical records by consecutive sampling method. The calibration and discrimination value of EuroSCORE II, Ambler score and Harapan Kita score were obtained.

Results: Observed in-hospital mortality was 6,7%. EuroSCORE II, Ambler score and Harapan Kita score have good calibration (Hosmer-Lemeshow test p=0,065, p=0,233 and p=0,314). The discriminative value of these three scores in predicting in-hospital mortality for EuroScore II AUC 0,763 (95% CI; 0.660-0.867), Ambler score AUC 0.748 (95% CI; 0.655-0.841) and Harapan Kita score AUC 0,694 (95% CI; 0.584-0.804)

Conclusion: EuroSCORE II, Ambler score and Harapan Kita score have fairly good validation. Those scoring system have good calibration with Harapan Kita score calibration relatively better than EuroSCORE and Ambler score, meanwhile Harapan Kita score has less discrimination value than EuroScore II and Ambler score."