Deaneva, Almira Muthia
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The Correlation between Sleep Pattern and Mentruation cycle for Interns in RSUD Dr. Moewardi Surakarta Deaneva, Almira Muthia; Hidayati, Rosalia Sri; Sumardiyono, .
Nexus Kedokteran Komunitas Vol 4, No 2 (2015): Nexus Kedokteran Komunitas
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (142.022 KB)

Abstract

Background: Interns often have a poor sleep quality due to assignments, uncertain shift duty, and preparation for academical tasks. This poor sleep quality can impact organ system in our body, including metabolic system, endocrine, and immune system. One of the impact from poor sleep quality is menstruation cycle disorder. This study aimed to know the correlation between poor sleep quality and menstruation cycle for interns in RSUD Dr. Moewardi Surakarta. Methods: This study was observational analytic research with cross sectional approach. The subjects of this research were 40 female interns and conducted at RSUD Dr. Moewardi. The sampling method used was purposive sampling after selected based on inclusion and exclusion criteria of the study. The dependent variable in this study was menstruation cycle, while the independent variable was sleep quality. Research subjects completed (1) informed consent, (2) L-MMPI questionnaire to determine the honesty of respondents in filling out the questionnaire, (3) Pittsburgh Sleep Quality Index (PSQI), (4) menstruation cycle questionnaire. The data obtained was analyzed using SPSS 16 program with Chi-Square and Contingency Coefisien Results: The results using Chi square was X2= 4.912. Based on the data analysis with number of significance ? = 0.05 obtained value of p = 0.027 (p <0.05), whereas Contingency Coefisien correlation was 0.331. Conclusion: There is significant relationship and weak correlation about sleep quality and menstruation cycle for interns in RSUD Dr. Moewardi Surakarta. Keywords: menstruation cycle, sleep quality 
Delta Neutrophil Index and C-Reactive Protein as Predictors of Mortality in Early Onset Neonatal Sepsis at Dr. Moewardi Hospital Deaneva, Almira Muthia; Siregar, Rustam; Martuti, Sri
Journal of Maternal and Child Health Vol. 9 No. 2 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2024.09.02.08

Abstract

Background: Neonatal sepsis is an infection disease in newborns that still be a major problem in developing countries such as Indonesia. Early onset sepsis has higher mortality and morbidity. A simple and applicable biomarkers are needed to predict mortality in early onset neonatal sepsis. This study aimed to investigate whether Delta Neutrophil Index (DNI) and C-Reactive Protein (CRP) can be used as predictors of mortality in early onset neonatal sepsis. Subjects and Method: A cohort study that was conducted at neonatal HCU and NICU at Dr. Moewardi Hospital from March to June 2023. Total of 30 neonates aged 0-72 hours which met the inclusion criteria and became research subjects. The dependent variable was the mortality of neonatal sepsis. The independent variable were levels of DNI and CRP values.  The instruments were flowcytometry to measure levels of DNI and Enzyme Linked Immunoassay (ELISA) for determining CRP values. Data were analyzed using SPSS 25.0. Bivariate analysis was using Chi square and Fisher exact followed by multivariate analysis using logistic regression with p<0.05. Results: Thirty early onset septic neonates were included in study, of whom 17 children died and 13 children survived. Both DNI and CRP had significant correlation with mortality of neonatal sepsis (p<0.001). The DNI cut-off value of ≥ 5.4% (OR = 10.83; 95% CI 1.96 to 59.63; p = 0.004) can predict mortality in early onset neonatal sepsis. The CRP cut-off values of ≥5.75 mg/L (OR = 15.56;  95%CI 2.59 to 93.57; p = 0.001) could predict early onset neonatal sepsis mortality. Other factors such as gender, gestational age, birth weight and blood culture couldn’t be used as predictors of mortality in neonatal sepsis, with p value >0.05. Conclusion: DNI and CRP could be used as predictors of mortality in early onset neonatal sepsis.