Enfermedad pélvica inflamatoria: Análisis retrospectivo

Translated title of the contribution: Pelvic inflammatory disease: Retrospective analysis

Yelitza Álvarez-Pabón, Janer Sepúlveda-Agudelo, Luis Alfonso Díaz-Martínez

Research output: Articles / NotesScientific Articlepeer-review

3 Scopus citations

Abstract

OBJECTIVE: to describe the socio-demographic and clinical variables related to pelvic inflammatory disease cases of patientstreated in the Hospital Universitario de Santander, Bucaramanga, Colombia and explore the relationship of these variables with the need for surgery. MATERIALS AND METHODS: retrospective study and analysis of medical records of patients treated between 2013 and 2014 in the “Hospital Universitario de Santander”. Data analysis was performed with STATA 12.1. Evaluation between the need for surgery and other variables using the χ2 test or the Mann-Whitney U test. RESULTS: 212 patients were included: 136 (64.2%) hospitalized, 35 (25.7%) required surgical intervention. For the hospitalized patients, the main regimen was clindamycin and gentamicin (55 de 136: 41.4%); the patients with ambulatory treatment received: metronidazole and doxycycline (21 de 76: 27.6%). The variables significantly associated with the need for surgery were: ultrasound findings, the diagnostic value of white blood cells and of PCR and active comorbidities. CONCLUSION: pelvic inflammatory disease should be considered a differential diagnosis in any reproductive age female patient with abdominal pain; basic paraclinical parameters are a useful approach to determine the need for surgery in patients who present an acute picture.

Translated title of the contributionPelvic inflammatory disease: Retrospective analysis
Original languageSpanish
Pages (from-to)433-441
Number of pages9
JournalGinecologia y Obstetricia de Mexico
Volume85
Issue number7
StatePublished - 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Pelvic inflammatory disease: Retrospective analysis'. Together they form a unique fingerprint.

Cite this