RESUMEN
A prospective cohort study was conducted to determine whether an increased uterine artery pulsatility index (UtA-PI) in the second trimester of pregnancy is a risk factor for neurodevelopmental outcomes in children 2-3 years of age. A group of pregnant women with a UtA-PI below the 90th percentile (P90) and a second group with a UtA-PI ≥ P90 in the second trimester were included in this study. The children of these women were evaluated during their second or third year of life using the Bayley III Screening Test. A total of 858 pregnancies with UtA-PI < P90 and 96 pregnancies with UtA-PI ≥ 90 were studied. The differences between the groups related to UtA-PI ≥ 90 were detected in relation to the variables of the Caucasian ethnicity, hypertension, newborn weight and stay in the intensive care unit after birth. However, adjusted neurodevelopmental outcomes did not differ between the groups: OR 0.53 (95% CI 0.27-1.04%). This study failed to demonstrate that the UtA-PI is a risk factor for adverse neurodevelopment in children.Impact statementWhat is already known on this subject? Early interventions in children at high risk for neurodevelopmental deficiency have proved to be beneficial. The complications associated with gestation and delivery negatively influence neurodevelopment. Several studies have shown that some adverse pregnancy outcomes such as preeclampsia, foetal growth restriction and foetal death can be predicted by increased resistance to flow in the uterine artery in the second trimester. However, there are no studies evaluating the association of the uterine artery with neurodevelopmental results.What do the results of this study add? This study concludes that neurodevelopment is influenced by multiple environmental and intrinsic factors and cannot be predicted by only one variable, such as the uterine artery blood flow. The brain has repair mechanisms to attenuate insults that occur during gestation and delivery.What are the implications of these findings for clinical practice and/or further research? This study was unable to demonstrate that blood flow in the uterine artery is a risk factor for neurodevelopment. Different, larger studies should be conducted by combining other factors with the uterine artery in an algorithm to allow the early identification of children at risk for neurodevelopmental impairment.
Asunto(s)
Trastornos del Neurodesarrollo/epidemiología , Segundo Trimestre del Embarazo/fisiología , Efectos Tardíos de la Exposición Prenatal/epidemiología , Flujo Pulsátil/fisiología , Arteria Uterina/fisiopatología , Adulto , Peso al Nacer , Preescolar , Femenino , Humanos , Recién Nacido , Exposición Materna/efectos adversos , Trastornos del Neurodesarrollo/etiología , Oportunidad Relativa , Embarazo , Efectos Tardíos de la Exposición Prenatal/etiología , Estudios Prospectivos , Factores de Riesgo , Ultrasonografía Prenatal , Arteria Uterina/diagnóstico por imagenRESUMEN
OBJECTIVE: To generate a global reference for caesarean section (CS) rates at health facilities. DESIGN: Cross-sectional study. SETTING: Health facilities from 43 countries. POPULATION/SAMPLE: Thirty eight thousand three hundred and twenty-four women giving birth from 22 countries for model building and 10,045,875 women giving birth from 43 countries for model testing. METHODS: We hypothesised that mathematical models could determine the relationship between clinical-obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three-step approach to generate the global benchmark of CS rates at health facilities: creation of a multi-country reference population, building mathematical models, and testing these models. MAIN OUTCOME MEASURES: Area under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate. RESULTS: According to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C-Model, with summary estimates ranging from 0.832 to 0.844. The C-Model was able to generate expected CS rates adjusted for the case-mix of the obstetric population. We have also prepared an e-calculator to facilitate use of C-Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/). CONCLUSIONS: This article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C-Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS. TWEETABLE ABSTRACT: The C-Model provides a customized benchmark for caesarean section rates in health facilities and systems.
Asunto(s)
Cesárea/estadística & datos numéricos , Modelos Estadísticos , Adulto , Estudios Transversales , Femenino , Humanos , Internacionalidad , Embarazo , Valores de ReferenciaRESUMEN
OBJECTIVE: To study the types of delivery according to the category of patient admission and the most frequently reported indications for cesarean sections. METHODS: In a retrospective survey of deliveries performed in the municipality of Ribeirão Preto, São Paulo, Brazil, from 1986 to 1995, the type of delivery, category of admission and recorded diagnoses were assessed. Data were obtained from the Center of Hospital Data Processing of the Department of Social Medicine in the University of São Paulo, Ribeirão Preto. RESULTS: A total of 86,120 deliveries were registered during the study period; 5.4% were allocated in the private category, 28.7% in the prepayment category, and 65.9% in the public health system (SUS). It was observed a decrease in the private and SUS categories and an increase in the prepayment category. During the study period, the percentage of cesarean deliveries increased from 68.3% to 81.8% in the private category and from 69.1% to 77.9% in the prepayment category, and decreased from 38.7% to 32.1% in the SUS category. The major indications for cesarean section were fetal distress, with the incidence of 9.5%, 10.9% and 9.0% in the private, prepayment and SUS categories, respectively; and cephalopelvic dystocia, at the rates of 5.8%, 6.5% and 3.9%, respectively. CONCLUSION: The incidence of cesarean section varied according to admission category, with a rising trend as the pregnant woman's social status increased, but without a correlation with the obstetrical risk.