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. 2015 May;13(5):884-91.
doi: 10.1016/j.cgh.2014.08.029. Epub 2014 Aug 23.

Parameters on esophageal pH-impedance monitoring that predict outcomes of patients with gastroesophageal reflux disease

Affiliations

Parameters on esophageal pH-impedance monitoring that predict outcomes of patients with gastroesophageal reflux disease

Amit Patel et al. Clin Gastroenterol Hepatol. 2015 May.

Abstract

Background & aims: pH-impedance monitoring detects acid and nonacid reflux events, but little is known about which parameters predict outcomes of different management strategies. We evaluated a cohort of medically and surgically managed patients after pH-impedance monitoring to identify factors that predict symptom improvement after therapy.

Methods: In a prospective study, we followed up 187 subjects undergoing pH-impedance testing from January 2005 through August 2010 at Washington University in St. Louis, Missouri (mean age, 53.8 ± 0.9 y; 70.6% female). Symptom questionnaires assessed dominant symptom intensity (DSI) and global symptom severity (GSS) at baseline and at follow-up evaluation. Data collected from pH impedance studies included acid exposure time (AET), reflux exposure time (RET) (duration of impedance decrease 5 cm above lower esophageal sphincter, reported as the percentage of time similar to AET), symptom reflux correlation (symptom index and symptom association probability [SAP]), and the total number of reflux events. Univariate and multivariate analyses were performed to determine factors associated with changes in DSI and GSS after therapy.

Results: Of the study subjects, 49.7% were tested on proton pump inhibitor (PPI) therapy and 68.4% were managed medically. After 39.9 ± 1.3 months of follow-up, DSI and GSS scores decreased significantly (P < .05). On univariate analysis, an abnormal AET predicted decreased DSI and GSS scores (P ≤ .049 for each comparison); RET and SAP from impedance-detected reflux events (P ≤ .03) also were predictive. On multivariate analysis, abnormal AET consistently predicted symptomatic outcome; other predictors included impedance-detected SAP, older age, and testing performed off PPI therapy. Abnormal RET, acid symptom index, or SAP, and numbers of reflux events did not independently predict a decrease in DSI or GSS scores.

Conclusions: Performing pH-impedance monitoring off PPI therapy best predicts response to antireflux therapy. Key parameters with predictive value include increased AET, and correlation between symptoms and reflux events detected by impedance.

Keywords: Esophageal pH-Impedance Monitoring; GERD; PPI; Response to Therapy; Symptom-Reflux Correlation.

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Figures

Figure 1
Figure 1
Improvement in symptom burden, as measured by change in dominant symptom intensity (DSI) and global symptom severity (GSS) (*p<0.05).
Figure 2
Figure 2
Independent predictors of symptom improvement following management of reflux disease. A. Prediction of linear change is depicted as risk ratios and 95% confidence intervals, values not crossing the zero axis are significant (*p=0.027 for DSI and p=0.002 for GSS; **p=0.026 for GSS). B. Prediction of ≥50% improvement is depicted as odds ratios and 95% confidence intervals, values not crossing the value of 1 are significant (*p=0.014, **p=0.05). In both instances, abnormal AET independently predicted symptom response following antireflux therapy; impedance-SAP complemented prediction, especially when GSS was used as the outcome measure.
Figure 2
Figure 2
Independent predictors of symptom improvement following management of reflux disease. A. Prediction of linear change is depicted as risk ratios and 95% confidence intervals, values not crossing the zero axis are significant (*p=0.027 for DSI and p=0.002 for GSS; **p=0.026 for GSS). B. Prediction of ≥50% improvement is depicted as odds ratios and 95% confidence intervals, values not crossing the value of 1 are significant (*p=0.014, **p=0.05). In both instances, abnormal AET independently predicted symptom response following antireflux therapy; impedance-SAP complemented prediction, especially when GSS was used as the outcome measure.

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