Literature DB >> 24118399

Factors that predict poor clinical course among patients hospitalized with pelvic inflammatory disease.

Miyoko Terao1, Kaori Koga, Akihisa Fujimoto, Osamu Wada-Hiraike, Yutaka Osuga, Tetsu Yano, Shiro Kozuma.   

Abstract

AIM: The aim of this study was to identify factors that can predict clinical course among patients hospitalized with pelvic inflammatory disease (PID).
METHODS: Ninety-three patients who needed hospitalization with a diagnosis of PID were retrospectively studied. Patients who were discharged within 7 days by conservative treatment were defined as favorable course cases (n = 44). Patients who needed more than 7 days of hospitalization and/or surgery were defined as poor course cases (n = 49). Twenty variables were evaluated by univariate and logistic regression analysis: age, history of pregnancy/delivery, gynecological open/laparoscopic surgery, PID, oral contraceptives/intrauterine device use and intrauterine operation before onset, body temperature, signs of peritoneal irritation, vomiting/diarrhea, abnormal vaginal discharge, endometriosis/fibroid/adenomyosis/any cystic lesion detected by ultrasonography, white blood cell counts/C-reactive protein (CRP) levels . The cut-off value was calculated by receiver-operator curve (ROC) analysis.
RESULTS: Factors associated with poor clinical course were advanced age (P < 0.01), history of gynecological open surgery (P < 0.05), any cystic lesion detected by ultrasonography (P < 0.05) and high CRP levels (P < 0.05). High CRP levels and intrauterine operation before onset were independently associated with poor clinical course. The cut-off value for CRP was 4.4 mg/dL.
CONCLUSION: This study identified variables that can predict poor clinical course of PID. These results can assist gynecologists with identifying patients at risk and optimizing the choice of management.
© 2013 The Authors. Journal of Obstetrics and Gynaecology Research © 2013 Japan Society of Obstetrics and Gynecology.

Entities:  

Keywords:  C-reactive protein; pelvic inflammatory disease; risk factors; tubo-ovarian abscess; ultrasonography

Mesh:

Substances:

Year:  2013        PMID: 24118399     DOI: 10.1111/jog.12189

Source DB:  PubMed          Journal:  J Obstet Gynaecol Res        ISSN: 1341-8076            Impact factor:   1.730


  5 in total

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