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Background: Ovarian cancer is one of the top three most common cancers in women. Most are detected at an advanced stage, so early detection is essential. A scoring system can easily predict an ovarian malignancy. IOTA Simple Rules and RMI-4 are easy-to-implement scoring systems. This study aimed to evaluate the comparison between the accuracy of the IOTA simple rules scoring system and RMI-4 as a predictor of malignancy in ovarian tumor cases at Prof. Dr. IGNG Ngoerah general hospital. Methods: This study used a diagnostic trial design involving 120 ovarian tumor patients undergoing surgery at Prof. Dr. IGNG Ngoerah general hospital, with 100 patients meeting the inclusion criteria. The collected data were tabulated and analyzed using SPSS for Windows ver. 22. Results were considered significant if p?0.05. Results: From 100 patient samples who met the inclusion criteria, 60 subjects (60%) were ovarian tumors with benign histopathologic results, and 40 (40%) subjects were tumors with malignant histopathology. The majority of ovarian tumors with malignant histopathology were found in the age group >50 years (52.5%), the menopausal group (57.5%), and multiparity (70%). CA-125 levels above 35 U/ml are found in 90% of the population, with details of 92.5% found in populations with malignant histopathological tumors. The AUC values for RMI-4 and IOTA simple rules are 0.846 and 0.925, with the p value for each scoring system being <0.001. Conclusions: This study found that the IOTA simple rules scoring method has a better diagnostic value than RMI-4 scoring.
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Background: More than 70% of maternal deaths are caused by preeclampsia and eclampsia. This study aimed to evaluate the characteristics of pregnant women with preeclampsia in the obstetrics emergency room of Prof. Dr. I. Gusti Ngoerah Gede (I.G.N.G.) Ngoerah General Hospital, Denpasar, in 2022. Methods: This study was conducted with a high level of thoroughness and detail. Data obtained include age data, gestational age, parity, employment, education, history of hypertension, history of pregnancy with preeclampsia before, blood pressure measurement results, body mass index (BMI), laboratory examination results, NST picture, complications, mode of delivery, APGAR, and birth weight. The collected data was meticulously tabulated, analyzed, and presented as tables and narratives. Results: The findings of this study are significant for the field of obstetrics and gynecology. The incidence of preeclampsia in the obstetrics emergency room of Prof. Dr. I.G.N.G. Ngoerah General Hospital reached 15.75% in 2022 with a 0% case fatality rate. The average age was 31 years. Sixty-one subjects (62.89%) were primiparous, 41 subjects (42.27%) had a history of hypertension, and 23 subjects (23.71%) had a history of pregnancy with preeclampsia. The median BMI reached 22.3 kg/m2. The mean platelet of 354 103/µl, creatinine of 0.7 mg/dl, and 93 subjects (95.88%) were positive for proteinuria. Based on the NST picture obtained, 37 (38.14%) patients had reactive non-stress test pictures. APGAR score >7 of 76 subjects (78.35%) with a median birth weight of 1,850 grams. Conclusions: This study is expected to be a reference for further research. Further research is needed to assess the relationship between demographic characteristics and the risk factors of preeclampsia.
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Background: Neutrophil-to-lymphocyte ratio has been extensively studied as a prognostic factor for various diseases based on systemic inflammation. Premature rupture of membranes is an obstetric problem that does not only occur in term pregnancies but can also occur in preterm pregnancies. One of the main etiologies for premature rupture of membranes is inflammation. Knowing the difference in the NLR between preterm premature rupture of membranes and without PPROM is important to increase understanding of the crucial role of NLR in predicting the incidence of PPROM. Methods: This analytic case-control study compared NLR values ??in maternal blood serum between PPROM and without PPROM. This research was conducted in the emergency delivery room and obstetrics and gynecology outpatient clinic at Prof. dr. I.G.N.G. Ngoerah Hospital Denpasar from February to June 2022. Results: A high NLR in maternal blood serum may be a risk factor for PPROM. Patients with a high NLR had a 4.5 times greater likelihood of experiencing PPROM than those with a low NLR (OR=4.5; 95% CI=1.4-13.83; p=0.007). Conclusions: A high NLR in maternal blood serum is a marker of inflammation with an increased risk of 4.5 times for the occurrence of PPROM.