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      Prevalence of preterm birth and perinatal outcome: A rural tertiary teaching hospital-based study

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          Abstract

          Context:

          Preterm birth is defined as births before 37 weeks of gestational age. Preterm birth is a major challenge in obstetric health care and leading cause of perinatal mortality and long-term morbidity. Complications arising from preterm births are the leading cause of deaths among children less than 5 years of age. Seventy-five percent of them could be saved with current, cost-effective interventions. The rate of preterm births worldwide is 5–18% with the developing countries accounting for the maximum deaths.

          Aims:

          This study was undertaken to evaluate the prevalence of preterm births and risk factors associated with it among women delivered at a rural tertiary teaching hospital in Telangana and further assess its impact on perinatal outcome.

          Settings and design:

          This was a retrospective case control study conducted at Mediciti Institute of Medical Sciences from January 2019 to December 2019.

          Methods and material:

          Of the 1243 deliveries during the study period, 135 births that occurred at <37 weeks were taken as cases and 248 term neonates were taken as control group. Data were collected retrospectively through review of prenatal and hospital delivery records.

          Statistical analysis used:

          Data were collected and tabulated as shown in the results. Statistical analysis was done using Microsoft Excel. Frequency and percentage of each parameter were calculated and analyzed. The risk estimates were analyzed between the cases and controls by calculating the odds ratio, 95% confidence interval, and P value. P Value of <0.05 was considered significant.

          Results:

          The prevalence rate of preterm birth was 10.86%. History of previous preterm birth (OR = 4.88, C.I: 1.50–15.87, P = 0.0084), previous LSCS (OR = 2.16, C.I: 1.36–3.44, P = 0.001), inter-pregnancy interval <12 months (OR = 2.78, C.I: 1.13–6.84, P = 0.026), hypertension (OR = 3.10, C.I: 1.78–5.42, P = 0.0001), PROM (OR =0.73, C.I: 2.36–9.49, P < 0.0001), Oligohydramnios (OR = 3.58, C.I: 1.29–9.9, P = 0.01), and multiple pregnancy (OR = 24.09, C.I: 3.09–187.46, P = 0.0024) were found to be significant risk factors for preterm birth. Though the NICU admission rate was high (52%), neonatal outcome was found to be satisfactory.

          Conclusions:

          Some of the risk factors that contributed to preterm birth were modifiable. Preventive strategies addressing the risk factors such as hypertension, oligohydramnios, and also improving health care quality to pregnant women will reduce the prevalence of preterm births and outcomes.

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          Most cited references26

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          National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis

          Summary Background Reducing neonatal mortality is an essential part of the third Sustainable Development Goal (SDG), to end preventable child deaths. To achieve this aim will require an understanding of the levels of and trends in neonatal mortality. We therefore aimed to estimate the levels of and trends in neonatal mortality by use of a statistical model that can be used to assess progress in the SDG era. With these estimates of neonatal mortality between 1990 and 2017, we then aimed to assess how different targets for neonatal mortality could affect the burden of neonatal mortality from 2018 to 2030. Methods In this systematic analysis, we used nationally-representative empirical data related to neonatal mortality, including data from vital registration systems, sample registration systems, and household surveys, to estimate country-specific neonatal mortality rates (NMR; the probability of dying during the first 28 days of life) for all countries between 1990 (or the earliest year of available data) and 2017. For our analysis, we used all publicly available data on neonatal mortality from databases compiled annually by the UN Inter-agency Group for Child Mortality Estimation, which were extracted on or before July 31, 2018, for data relating to the period between 1950 and 2017. All nationally representative data were assessed. We used a Bayesian hierarchical penalised B-splines regression model, which allowed for data from different sources to be weighted differently, to account for variable biases and for the uncertainty in NMR to be assessed. The model simultaneously estimated a global association between NMR and under-5 mortality rate and country-specific and time-specific effects, which enabled us to identify countries with an NMR that was higher or lower than expected. Scenario-based projections were made at the county level by use of current levels of and trends in neonatal mortality and historic or annual rates of reduction that would be required to achieve national targets. The main outcome that we assessed was the levels of and trends in neonatal mortality and the global and regional NMRs from 1990 to 2017. Findings Between 1990 and 2017, the global NMR decreased by 51% (90% uncertainty interval [UI] 46–54), from 36·6 deaths per 1000 livebirths (35·5–37·8) in 1990, to 18·0 deaths per 1000 livebirths (17·0–19·9) in 2017. The estimated number of neonatal deaths during the same period decreased from 5·0 million (4·9 million–5·2 million) to 2·5 million (2·4 million–2·8 million). Annual NMRs vary widely across the world, but west and central Africa and south Asia had the highest NMRs in 2017. All regions have reported reductions in NMRs since 1990, and most regions accelerated progress in reducing neonatal mortality in 2000–17 versus 1990–2000. Between 2018 and 2030, we project that 27·8 million children will die in their first month of life if each country maintains its current rate of reduction in NMR. If each country achieves the SDG neonatal mortality target of 12 deaths per 1000 livebirths or fewer by 2030, we project 22·7 million cumulative neonatal deaths by 2030. More than 60 countries need to accelerate their progress to reach the neonatal mortality SDG target by 2030. Interpretation Although substantial progress has been made in reducing neonatal mortality since 1990, increased efforts to improve progress are still needed to achieve the SDG target by 2030. Accelerated improvements are most needed in the regions and countries with high NMR, particularly in sub-Saharan Africa and south Asia. Funding Bill & Melinda Gates Foundation, United States Agency for International Development.
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            Effects of birth spacing on maternal, perinatal, infant, and child health: a systematic review of causal mechanisms.

            This systematic review of 58 observational studies identified hypothetical causal mechanisms explaining the effects of short and long intervals between pregnancies on maternal, perinatal, infant, and child health, and critically examined the scientific evidence for each causal mechanism hypothesized. The following hypothetical causal mechanisms for explaining the association between short intervals and adverse outcomes were identified: maternal nutritional depletion, folate depletion, cervical insufficiency, vertical transmission of infections, suboptimal lactation related to breastfeeding-pregnancy overlap, sibling competition, transmission of infectious diseases among siblings, incomplete healing of uterine scar from previous cesarean delivery, and abnormal remodeling of endometrial blood vessels. Women's physiological regression is the only hypothetical causal mechanism that has been proposed to explain the association between long intervals and adverse outcomes. We found growing evidence supporting most of these hypotheses.
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              ACOG Practice bulletin no. 134: fetal growth restriction.

              (2013)
              Fetal growth restriction, also known as intrauterine growth restriction, is a common complication of pregnancy that has been associated with a variety of adverse perinatal outcomes. There is a lack of consensus regarding terminology, etiology, and diagnostic criteria for fetal growth restriction, with uncertainty surrounding the optimal management and timing of delivery for the growth-restricted fetus. An additional challenge is the difficulty in differentiating between the fetus that is constitutionally small and fulfilling its growth potential and the small fetus that is not fulfilling its growth potential because of an underlying pathologic condition. The purpose of this document is to review the topic of fetal growth restriction with a focus on terminology, etiology, diagnostic and surveillance tools, and guidance for management and timing of delivery.
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                Author and article information

                Journal
                J Family Med Prim Care
                J Family Med Prim Care
                JFMPC
                J Family Med Prim Care
                Journal of Family Medicine and Primary Care
                Wolters Kluwer - Medknow (India )
                2249-4863
                2278-7135
                July 2022
                22 July 2022
                : 11
                : 7
                : 3909-3914
                Affiliations
                [1] Department of Obstetrics and Gynecology, Mediciti Institute of Medical Sciences, Ghanpur, Medchal, Malkajgiri, Telangana, India
                Author notes
                Address for Correspondence: Dr. Kalpana Betha, Department of Obstetrics & Gynecology, Mediciti Institute of Medical Sciences, Ghanpur, Medchal, Malkajgiri District – 501 401, Telangana, India. E-mail: kalpanabasany@ 123456gmail.com
                Article
                JFMPC-11-3909
                10.4103/jfmpc.jfmpc_1440_21
                9648210
                36387651
                c8ee9802-2ef0-488f-b48c-2764b82e2846
                Copyright: © 2022 Journal of Family Medicine and Primary Care

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 18 July 2021
                : 11 December 2021
                : 22 December 2021
                Categories
                Original Article

                perinatal outcome,preterm birth,prevalence,risk factors
                perinatal outcome, preterm birth, prevalence, risk factors

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