Literature DB >> 6128269

Ectopic pregnancy early diagnosis limitations.

J A Portuondo, M J Remacha, M R Llaguno.   

Abstract

A series of 219 surgically and pathologic proven ectopic gestations are reviewed to emphasize the ectopic pregnancy early diagnosis limitations. A childbearing age, low parity woman is typical of having an ectopic pregnancy. Risk factors in their past history were absent in 52% of patients. Fertility investigations, IUD, PID, and abdominal surgery are often found in their past. Six per cent of patients had a previous ectopic pregnancy. Sixty-one per cent of patients were admitted with a definite ruptured ectopic pregnancy and 37% were admitted to rule out this condition. At surgery 58% had ruptured ectopic pregnancy with intraabdominal hemorrhage. Only 12% were unruptured. The obstetric outcome after surgery was available in 74 patients. Out of these, 40.5% had term pregnancies with live children, repeat ectopic pregnancy occurred in 8.2%, spontaneous first trimester abortion in 4.1%, and subsequent infertility in 16%. Postoperative pelvic adhesions were more frequently seen, at laparoscopy, when the patients were diagnosed at the stage of ruptured ectopic pregnancy with intraabdominal hemorrhage. A diagnostic protocol based on the screening of the patients at risk, correct evaluation of symptom and signs, and liberal use of beta-hCG pregnancy tests, culdocentesis, ultrasound and laparoscopy, is finally proposed.

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Year:  1982        PMID: 6128269     DOI: 10.1016/0020-7292(82)90196-5

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  3 in total

1.  Emergency medicine: diagnosing cases of ectopic pregnancy.

Authors:  R S Hockberger
Journal:  West J Med       Date:  1985-03

2.  Ectopic pregnancy--an analysis of the etiology, diagnosis and treatment in 552 cases.

Authors:  L Tuomivaara; A Kauppila; J Puolakka
Journal:  Arch Gynecol       Date:  1986

3.  Predictive analytical model for ectopic pregnancy diagnosis: Statistics vs. machine learning.

Authors:  Ploywarong Rueangket; Kristsanamon Rittiluechai; Akara Prayote
Journal:  Front Med (Lausanne)       Date:  2022-09-23
  3 in total

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