Prediction of risk of adverse events related to percutaneous endoscopic gastrostomy: a retrospective study

Ann Gastroenterol. 2019 Sep-Oct;32(5):469-475. doi: 10.20524/aog.2019.0409. Epub 2019 Jul 25.

Abstract

Background: Percutaneous endoscopic gastrostomy (PEG) is a popular method for long-term enteral feeding. Our aim was to determine potential risk factors for adverse events related to PEG, as well as consequent prolonged hospitalization.

Methods: Data were retrospectively collected from the admission records of a tertiary center between July 2015 and June 2018. Possible predictors of the 3 following outcomes were evaluated: minor PEG-related adverse events, major PEG-related adverse events, and length of hospital stay. Data were tested for correlation using the Spearman coefficient and for association using Kruskal-Wallis tests for significance.

Results: A total of 362 admissions involving 146 patients were included in the study. Of the admissions, 221 (61.0%) had only minor adverse events, 100 (27.6%) had only major adverse events, and 41 (11.3%) had both. Eighty (22.1%) had PEG-site infection and 128 (35%) had aspiration pneumonia. Serum albumin levels at presentation were negatively correlated with the length of hospitalization (P<0.001), which also differed between patients presenting with major and minor adverse events (P<0.001 and P=0.026). The Charlson comorbidity index was positively correlated with the duration of hospitalization (P<0.001). Higher index scores were found more among patients presenting with aspiration pneumonia (P=0.004) and lower scores were found among patients presenting with PEG site infection and inadvertent PEG removal compared with those presenting with a major complication (P<0.001).

Conclusion: The patient's general medical condition and nutritional status are the greatest risk predictors for developing adverse events related to their PEG feeding, as well as a consequent extended hospital stay.

Keywords: Charlson comorbidity index; Percutaneous endoscopic gastrostomy; albumin; risk prediction.