Amelia, Dwirani
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Efficacy and Safety of Two Depo Medroxyprogesterone Acetate Injection Preparations as Contraception: An Open-Label, Randomized Controlled Study Rosdiana, Dewi Selvina; K. Suherman, Suharti; Affandi, Biran; Gunadi, E. Rusdianto; Amelia, Dwirani; Baharrudin, Mohammad
Cermin Dunia Kedokteran Vol 44, No 5 (2017): Gastrointestinal
Publisher : PT. Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.93 KB) | DOI: 10.55175/cdk.v44i5.794

Abstract

Latar belakang: Kontrasepsi hormonal injeksi masih banyak digunakan di berbagai negara berkembang, termasuk di Indonesia. Tujuan penelitian ini adalah untuk membandingkan efikasi dan keamanan kontrasepsi hormonal injeksi mengandung 150 mg/mL medroxyprogesterone acetate (DMPA) (obat A) yang akan digunakan untuk program Keluarga Berencana Nasional, dibandingkan dengan inovatornya (obat B). Metode: penelitian ini open-label, acak, multisenter, 2 kelompok, melibatkan 400 subjek usia produktif, yang diacak untuk mendapatkan obat A atau obat B. Injeksi diberikan sekali setiap 3 bulan, selama 1 tahun. Hasil: Setelah 4 kali injeksi kontrasepsi periode satu tahun, tidak didapatkan kehamilan pada kedua kelompok, nilai Pearl-Index masing-masing kelompok nol. Insidensi kejadian tidak diinginkan sebanding pada kedua kelompok dan dapat ditoleransi, dengan kejadian paling sering adalah amenore, spotting, sakit kepala dan menstruasi memanjang. Simpulan: Kontrasepsi hormonal injeksi yang akan digunakan untuk program KB nasional (obat A) memiliki efikasi dan keamanan yang sebanding dengan inovatornya (obat B).Backgroud: Injectable hormonal contraceptives remain in extensive use in many developing countries, including Indonesia. This study was intended to compare the efficacy and safety of injectable hormonal contraception contain 150 mg/mL DMPA injection (Drug A), that will be used for national Family Planning Program, versus the innovator product (Drug B). Methods: This study was an open-label, randomized, multicenter, 2-parallel group study, involving 400 women of childbearing age, who received Drug A or Drug B four times at 3-month intervals. Results: No pregnancies occur in both groups after 4 injections of Drug A or Drug B over a period of 12 months, the Pearl-Index value for each group was zero. The incidence of adverse events between groups were comparable and tolerable, the most common events were amenorrhea, spotting, headache, and prolonged menstruation. Conclusion: The efficacy and safety of injectable DMPA (Drug A) produced for National Family Planning program was comparable with the innovator DMPA drug (Drug B).
Machine Learning for Preeclampsia Prediction: Enhancing Screening in Primary Health Care Amelia, Dwirani; Adisasmita, Asri; Siregar, Kemal N; Nurdiati, Detty Siti
Kesmas Vol. 20, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Preeclampsia is a leading cause of maternal morbidity and mortality worldwide, with early detection being critical for reducing adverse outcomes. This study aimed to develop a machine learning model for predicting the risk of preeclampsia using readily available maternal characteristics such as body mass index, mean arterial pressure, and clinical history of hypertension or diabetes mellitus. Secondary data from 2,250 pregnancies were analyzed, addressing challenges such as missing data and class imbalance through preprocessing. Various algorithms, including support vector machines, random forest, and logistic regression, were evaluated. Herein, a support vector machines model with threshold adjustment showed the best performance, with a sensitivity of 67.5%, specificity of 57.23%, and an area under the curve of 0.68. These findings indicated the promising potential of scalable and interpretable prediction models for enhancing preeclampsia screening in primary health care settings. However, further refinement and validation of the proposed model are required for broader clinical integration to improve maternal and neonatal health outcomes.