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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/223861
Algoritmo para la asignación etiológica de la prematuridad
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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.
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ÁLVAREZ SERRA, Javier amadeo, BALAGUER SANTAMARÍA, Albert, IRIONDO SANZ, Martín, MARTÍN ANCEL, Ana, GÓMEZ ROIG, Ma. dolores, IGLESIAS PLATAS, Isabel, KRAUEL, Xavier. Algoritmo para la asignación etiológica de la prematuridad. _Anales de Pediatria_. 2009. Vol. 71, núm. 4, pàgs. 284-290. [consulta: 24 de gener de 2026]. ISSN: 1695-4033. [Disponible a: https://hdl.handle.net/2445/223861]