Showing 4 results for Neonatal
R Chaman , M Yunesian , B Golestan , K Holakouie Naieni ,
Volume 3, Issue 3 (2-2008)
Abstract
Background and Objectives: A pregnancy can be considered high-risk if there are conditions that put the mother or the baby at higher-than-average risk of morbidity or mortality. Neonatal mortality rate is one of the most important indices of children's health status. The present study was conducted to evaluate the effects of high-risk states on neonatal mortality.
Methods: We performed a nested case-control study in the rural areas of Kohgiluyeh and Boyerahmad province. Within the study cohort, 97 cases and 97 controls were selected by a risk-set sampling method. Data were analyzed with univariate and multivariate conditional logistic regression models.
Results: Neonatal mortality was shown to increase significantly in high-risk pregnancies. There were no substantial differences between crude odds ratios and those adjusted for the presence of other risk factors (crude odds ratio decreased from 5.5 to an adjusted figure of 3.25 for pregnancies with one risk factor and from 5.21 to adjusted level of 4.80 for pregnancies with more than one risk factor).
Conclusions: High-risk pregnancies need great attention in family health and prenatal care programs, especially in remote rural areas. Within our rural health network there are potential cohorts for use in nested case-control studies, especially in the evaluation of neonatal mortality risk factors.
M Kandi Kele , M Kadivar, H Zeraati, E Ahmadnezhad, K Holakoui Naini,
Volume 10, Issue 1 (6-2014)
Abstract
Background & Objectives : The length of stay (LOS) is a useful indicator that can be used according to the objective to improve hospital care performance. The purpose of our study was to find factors affecting infants LOS in NICU at Children's Medical Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, using the Cox multiple hazards regression model.
Methods : This historical cohort study reviewed 369 medical records of all NICU admitted newborns at Children's Medical Center in 2009. The required data were collected through a data collection form. The Cox multiple hazards regression model was used to determine the factors affecting LOS in infants who were discharged on the physician‘s order.
Results: The median of stay in NICU was 9 days. Of 369 infants, 272 were discharged with improvement. The results of multiple Cox proportional hazards regression model showed the following factors were associated with LOS in the NICU: prematurity, referral from other hospitals, gastrointestinal diseases and infections, central venous catheterization, mechanical ventilation, and antibiotic therapy (P < 0.05).
Conclusion : Cox proportional hazards regression model should be used when the dependent variable is time and we have censored data. Improving prenatal health care, constructing NICU in hospitals with high risk labor, reduction of preterm birth risk factors, and improving primary health-care services can help us to reduce LOS in NICU.
Am Mosadeghrad, A Pour Reza , N Abolhasan Beigi Galezan , Sh Shahebrahimi,
Volume 14, Issue 4 (3-2019)
Abstract
Background and Objectives: Human Development Index (HDI) is an important indicator of a country’s development. On the other hand, mortality indicators are the most important indicators of the health of a society. This study aimed to examine the association between HDI and maternal, neonatal, infant, and under-five mortality rates in Iran between 2005 and 2016.
Methods: This longitudinal study was conducted using data collected from Iran Statistics Center, World Health Organization, and United Nations Development Program. SPSS software version 22 was used for data analysis. Pearson correlation test was applied to examine the correlation between HDI and mortality rates. Regression analysis was used to measure the effect of HDI on mortality rates.
Results: HDI increased from 0.690 in 2005 to 0.774 in 2016 (12% rise). Maternal, neonatal, infant, and under-five mortality rates decreased by 26, 41, 52, and 42% in 2016 compared to 2005, respectively. HDI had a significant indirect association with maternal (-0.973), neonatal (-0.983), infant (-0.739), and under-five mortality (-0.987). An increase of 0.01 in HDI reduced 1 maternal death per 100,000 births. An increase of 0.014, 0.009, and 0.008 in HDI decreased one neonatal, infant, and under-five death per 1000 births.
Conclusion: The results showed that increased HDI correlated with decreased mortality rates. Therefore, policy-makers should pay more attention to socio
N Azh, H Pakniat, M Rajabi, F Ranjkesh,
Volume 16, Issue 5 (3-2021)
Abstract
Background and Objectives: The coronavirus disease 2019 (COVID-19) pandemic has raised concerns about high-risk groups in community. Due to physiologic changes in pregnancy, these women are prone to this infection; therefore, this study was conducted to evaluate Covid-19 infection and pregnancy outcomes in Qazvin Province.
Methods: This longitudinal study was done in Qazvin Province from March to October 2020. The participants included 133 pregnant women who with a definitive diagnosis of COVID-19 using CT scan and PCR test. A four-section questionnaire was used to collect demographic data, COVID-19 symptoms, and pregnancy outcomes. The mothers were followed up until six months after delivery. Data were analyzed using the SPSS software version 24 and descriptive statistics.
Results: The mean age of the mothers was 27.09 ± 5.67 years. Fever, cough, and body pain were the most common symptoms of Covid-19 in the mothers. The majority (87.96%) of the mothers were in second and third trimester of pregnancy. Maternal outcomes included preterm labor (9%), Cesarean section (51.1%) and maternal death (11.28% or 5 cases). Perinatal outcomes were abortion (6%) and fetal death (3%).
Conclusion: Based on the results of the present study, Covid-19 increased the rate of maternal mortality and preterm delivery in pregnant women. Attention should be paid to support the expecting mothers, and more emphasis should be placed on health protocols in this group of patients.
