Algoritmo para la asignación etiológica de la prematuridad / Algorithm for an etiological classification of prematurity

Ante la dificultad para clasificar etiológicamente la prematuridad, en la práctica se ha impuesto una división en 3 subtipos según la presentación clínica: prematuridad médicamente indicada, rotura prematura de membranas (RPM) y espontánea o idiopática. Sin embargo, esta categorización es discutible, resulta poco precisa y admite criterios diversos a la hora de su aplicación. Objetivo: Elaborar una clasificación causal de la prematuridad y diseñar un sistema que facilite la asignación de cada caso concreto en el período perinatal. Métodos: Revisión sistematizada de la literatura médica, técnica cualitativa de consenso mediante grupo nominal, y cuantitativa, mediante estudio piloto con la versión inicial del algoritmo. Resultados: Se elaboró una clasificación que estableció una división general entre causa «próxima principal» y «causas asociadas», lo que permitió incluir concausas e, incluso, factores de riesgo más remotos. La causa principal incluyó 7 grandes categorías: inflamatorias (RPM y afines), vasculares (restricción del crecimiento intrauterino y afines), maternas locales, maternas generales, enfermedad fetal, pérdida de bienestar fetal e idiopáticas. La prematuridad de causa electiva o «por indicación médica» se estableció como categoría previa e independiente y, por tanto, compatible con las otras causas consideradas. Para facilitar el establecimiento de la causa principal, se diseñó un algoritmo con formato de diagrama de flujo unidireccional. Conclusiones: Se propone una clasificación pragmática de la prematuridad que facilite un cierto grado de precisión y la concordancia entre los clínicos (AU)

Due to the difficulty in classifying the etiology of preterm birth, it has been dicided into three subtypes according to its clinical presentation: medically indicated, ruptured membranes, and spontaneous or idiopathic. Nevertheless, this classification is controversial, imprecise and can result in multiple interpretations when applied. Objective: To design an etiologically based classification of preterm birth, and to design a system to easily assign each case during the perinatal period. Methods: Review of literature, qualitative analysis using consensus methods through nominal group technique, and quantitative analysis of a pilot study using a first version of the algorithm. Results: A classification is made to establish a general division between the “primary cause” and “associated causes” of preterm birth, that allows remote causes or risk factors to be included. The primary cause includes seven categories: inflammatory (ruptured membranes and related); vascular (intrauterine growth restriction and related); maternal–local; maternal–systemic; fetal pathology; fetal distress; idiopathic. The medically indicated preterm birth is defined as a previous or independent category and so is compatible with the other, previously mentioned causes. An algorithm was designed to make it easier to classify the primary cause of preterm birth usinf a flowchart. Conclusions: A pragmatic classification of preterm birth is proposed that may help to achieve better precision and agreement between clinicians (AU)

[Algorithm for an etiological classification of prematurity]. / Algoritmo para la asignación etiológica de la prematuridad.

UNLABELLED: The etiology of preterm birth is difficult to classify. It is usually divided into three clinical types according to its clinical presentation: medically indicated; caused by ruptured membranes; and spontaneous or idiopathic. However, this classification is controversial, imprecise and can result in multiple interpretations when applied. OBJECTIVE: To design an etiologically based classification of preterm birth, and to design a system to easily assign each case during the perinatal period. METHODS: Review of literature, qualitative analysis using consensus methods through nominal group technique, and quantitative analysis of a pilot study using a first version of the algorithm. RESULTS: A classification is made to establish a general division between the "primary cause" and "associated causes" of preterm birth, that allows remote causes or risk factors to be included. The primary cause includes seven categories: inflammatory (ruptured membranes and related); vascular (intrauterine growth restriction and related); maternal-local; maternal-systemic; fetal pathology; fetal distress; idiopathic. The medically indicated preterm birth is defined as a previous or independent category and so is compatible with the other, previously mentioned causes . An algorithm was designed to make it easier to classify the primary cause of preterm birth using a flowchart. CONCLUSIONS: A pragmatic classification of preterm birth is proposed that may help to achieve better precision and agreement between clinicians.