SUCCESS RATE OF IMAGE-GUIDED PERCUTANEOUS DRAINAGE OF INTRA ABDOMINAL FLUID COLLECTIONS / ABSCESSES AT A TERTIARY CARE HOSPITAL

Abstract

Objective: To determine the frequency of successful image guided percutaneous drainage among patients with intra-abdominal fluid collections and abscesses at tertiary care hospital.

Study Design: cross-sectional Study.

Study Setting: Department of General Surgery, Jinnah Post Graduate Medical Centre, Karachi

Study Duration: January to June 2025.

Methodology: Total 177 cases aged 20-75 years of either gender with imaging evidence of intra-abdominal fluid collections requiring drainage were enrolled. All pregnant females, with coagulopathy, cardiac disease, or who refused the procedure were excluded from this trial. After obtaining informed consent, demographic and clinical data were recorded and image-guided percutaneous drainage was performed under local anesthesia and aseptic precautions using ultrasound or CT guidance. Following diagnostic aspiration, a catheter (12F–16F) was inserted via the Seldinger technique for continuous drainage. Samples were analyzed microbiologically, and antibiotics were adjusted according to sensitivity results. Patients were monitored clinically and radiologically until recovery. Procedural success was defined as complete resolution without surgical intervention.

Results: Of 177 patients, the mean age was 44.46 ± 11.10 years (range 20–75), with most (72.9%) aged 20–50 years. Males constituted 57.1% of cases. The overall procedural success rate was 85.9%, while 14.1% required surgical drainage. No significant association was found between demographic or clinical factors and procedural success except for diarrhea (p = 0.004), which was linked to lower success rates.

Conclusion: Image-guided percutaneous drainage proved to be a safe, effective, and minimally invasive technique with an 85.9% success rate. Its efficacy, independent of clinical or demographic factors, underscores its value as a first-line option for intra-abdominal collections, especially in low-resource settings