Study design, materials and methods
Subjects were prospectively enrolled into an observational LUTS cohort from a functional urology clinic and answered questionnaires. Each patient answered the 2 questionnaires and data were analyzed in SAS to correlate and cross validate gender matching items from the ICIQ MLUTS / FLUTS against same domain AUASI items using Spearman’s correlation.
Results
A total of 304 patients (126 males, 178 females) were enrolled. Mean age was 58±17 years. 540 clinic visits occurred between May 2019 and November 2020. Response rates were 93% (500/540) for AUASI, and 91% (490/540) for ICIQ. A correlation model stratified by gender (Table 1) found significant correlation between gender for all matching items of each instrument (p values < 0.0001). Correlation plots were stratified by gender accounting for number of observations within each item strata (Figure 2). In Males, nocturia also had the best correlation (r=0.95), followed by intermittency (r=0.76), incomplete emptying (r=0.75), weak stream (r=0.73), straining (r=0.61), daytime frequency (r=0.61) and urgency (r=0.6) respectively. In Females, the best correlation was seen in nocturia (r=0.92), followed by straining (r=0.82), Intermittency (r=0.76), urgency (r=0.65) and daytime frequency (r=0.56) respectively. Nocturia had the best correlation in both genders while daytime frequency had the least correlation in the female group (r=0.56) and urgency in the male group (r=0.60).
Interpretation of results
Items of the AUASI and the ICIQ questionnaires demonstrated significant gender correlations; however, there were specific differences in the strength of association for common questions (e.g., urgency, frequency). There are several factors that might play a role in these differences and such factors can include difference in the wording of each question stem for each of the items in the questionnaires, and psychological factors such as mental fatigue from answering the larger sum of questions in the ICIQ. Additionally, differences in correlation varied between the female and male gender, suggesting that LUTS questions are interpreted differently among genders.