ISSN ONLINE: 2558-815X
ISSN PRINT: 1584-9244
ISSN-L: 1584-9244

Obstetric haemorrhages, a reality in spite of modern obstetrics!


Background: In obstetrics no condition is more dramatic through gravity, faster through the events development and attitudes expediency than the occurrence of bleeding. Its occurence is variable, depending on the definition used and its severity, with a growing trend even in developed countries. Knowing that there is no clear definition of obstetrical haemorrhage, there is a hypothesis of a statistical increase based only on this terminology heterogeneity and not on clinical reality (1).

Material and Methods: A group of 94 patients was analyzed retrospectively. In this clinical study were included all patients with obstetric hemorrhage, classified in three degrees of gravity, hospitalized in the obstetrics and gynecology Hospital, Saint Panteleimon ‘in the period January 2014 – December 2014.

Results: From the total vaginal births performed in our clinic in 2014, 3.7% patients had obstetrical hemorrhage, out of which 16% represented severe bleeding, 16% moderate bleeding and 66% reduced bleeding. Out of the total caesarean cases in 2014,7.03% presented obstetric hemorrhage, out of which 36.8% presented severe bleeding, 42.1% moderate bleeding and 21.05% reduced bleeding. Out of the total patients included in the study, diagnosed with ectopic pregnancy in 2014, 48.8% presented haemorrhage, out of whom 27.27%presented severe bleeding, 27.27% moderate bleeding and 45.45% reduced bleeding. Out of the total patients with miscarriages included in the study, 46.66% had severe bleeding and 53.33% had moderate bleeding.

Conclusions: Out of the total of 94 patients included in our study, 34% were classified as severe bleeding, 37, 2% of patients had moderate bleeding, while 28.8% presented reduced bleeding. The study of etiology, the classification without difficulty of gravity groups, with the final result representing a better therapeutic attitude, represent stages of the approach through a modern diagnostic algorithm.

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