COMPARATIVE PERFORMANCE AND EXTERNAL VALIDATION OF THREE DIFFERENT SCORES IN PREDICTING INADEQUATE BOWEL PREPARATION AMONG INPATIENTS UNDERGOING COLONOSCOPY

Aims Predictive scores aim to predict bowel preparation adequateness among hospitalized patient undergoing colonoscopy. We evaluated the comparative efficacy of these scores for inadequate bowel cleansing in a cohort of Caucasian inpatients.

Methods We performed a post-hoc analysis of data from a cohort of inpatients undergoing colonoscopy in 4 tertiary Greek centers to validate the three models currently available (Model A, B and C). We used the Akaike Information Criterion (AIC) to quantify performance of each model, while Harrell’s c-index, as area under the receiver operating characteristics (ROC) curve (AUC), verified the discriminative ability to predict inadequate bowel prep. Primary endpoint was comparison of performance among models for predicting inadequate bowel cleansing.

Results Overall, 261 patients [121 (46.4%) female, 100 (38.3%) bedridden, mean age 70.7±15.4 years] were included in the analysis. Model B showed the highest performance (Harrel’s c-index: AUC 77.2% vs. 72.6% and 57.5%) compared to Models A and C, respectively; [Figure 1]). It also achieved higher performance (Harrel’s c-index: AUC 72.21% vs. 64.97% and 59.66%) compared to Models A and C, respectively) for the subgroup of mobilized inpatients. Finally, Model B performed better in predicting patients with incomplete colonoscopy due to inadequate bowel preparation (Harrel’s c-index: AUC 74.23% vs. 69.07% and 52.76% compared to Models A and C, respectively).

Fig. 1

Conclusions Predictive Model B outperforms its comparators regarding prediction of inpatients with inadequate bowel preparation. This model is particularly advantageous when used to evaluate mobilized inpatients.

Publication History

Article published online:
14 April 2022