1. Demographics results
One hundred thirty-nine CTS-diagnosed hands of 96 patients were enrolled electively in the study.
Table 1 displays the descriptive analysis findings of the patients’ sociodemographic characteristics and disease. The analysis findings showed that most of the patients (67.7%) were female and the remaining patients were male (32.3%).
The mean age for the sample of patients was equal to 49.84 years (SD, 12.23 years). However, when considering their categorized age groups, most patients were between 41 and 60 years old. The right hand was affected in 54.7%, and most patients had mild severity CTS according to NCS.
3. The results of Boston Carpal Tunnel Questionnaire
Table 3 displays the descriptive analysis of the patients’ perceptions of their CTS symptoms and dysfunction as measured with the BCTQ. The findings showed that the top four perceived CTS symptoms were as follows: nightly hand numbness and tingling that wakens the patients, followed by severe hand and wrist pains at night, then hand and wrist pain during the daytime, and having hand numbness as well as severe nightly hand numbness. However, the patients’ least perceived symptoms of the CTS were hand weakness, difficulty grasping small objects, and typically daytime hand and wrist pains.
Regarding the patients’ perception of their CTS-associated dysfunctions, the analysis findings showed that the patients’ top perceived dysfunctions were difficulty doing housekeeping followed by difficulty handling the telephone handset, difficulty opening a glass jar, and difficulty buttoning clothes. However, the lowest difficulty rating assigned by the patients was given to writing and holding a book while reading then bathing and self-dressing. In
Table 3, particularly the fourth column is displaying the mean rank of those difficulties sorted in ascending order.
4. Analytical results
For a better understanding of how the NCS and the patient’s subjective measures of CTS symptoms severity and dysfunctions converge on severity classification based on the NCS, the Pearson (r) correlation test was used to assess the bivariate associations between these metric measures of the patient symptoms and severity with the interim severity classification of NCS scores (
Table 4). The findings showed that the patients’ subjective BCTQ SSS was statistically significant and positively correlated with their NCS-based severity classification (r=0.634, p<0.010), denoting that as the patients’ self-rated symptom score tended to rise; their corresponding NCS-based severity score tended to rise incrementally, too.
Furthermore, the patients’ subjective BCTQ FSS correlated significantly and positively with their NCS-based severity classification score (r=0.447, p<0.010), as the patients’ self-rated dysfunction mean score tended to rise; their corresponding NCS-based severity mean score tended to rise incrementally, too.
To clarify how the indicators of the CTS symptoms and dysfunction measured with the BCTQ had converged on the NCS-based severity classification, the Pearson bivariate test of correlation was applied between these indicators and the patient's NCS-based severity score (
Table 5). Additionally, the AUR ROC nonparametric test was utilized to assess each BCTQ indicator’s predictive accuracy for the patients’ NCS dichotomized severity when coded as follows: 0, moderate or below vs. 1, severe to very severe.
To unravel the findings, the analysis with the Pearson correlation test suggested that all the patients’ self-rated indicators of CTS symptom severity had correlated significantly and positively (r>0.390) using the Pearson (r) test indicating that; moderate to strong correlations exist between those subjective measured indicators of CTS symptoms with the nerve conduction-based severity score provided by the electrophysiological measures. However, the AUR ROC analysis showed also that all those indicators had great predictive accuracy (r>0.72) explaining the patients’ severe CTS states. Nonetheless, it was found that the symptom items (#6, #8, #9, #10, #2, and #4) had a substantial predictive accuracy for the patients’ severe CTS state measured with NCS. Even so, by considering the content of these indicators, it becomes clear that they had measured the extent of nightly and daytime hand numbness and pain associated with the CTS disease. The patients’ overall SSS had a substantive predictive accuracy for the patients’ CTS severe states measured with the NCS (AUR ROC, 0.91%).
By considering the patients rated indicators of CTS dysfunction, it was found that only dysfunctionality items (#2, buttoning of clothes; #4, gripping the telephone handle; #5, housekeeping; #6, opening a glass vial cap; and #8, bathing and dressing) had a statistically significant bivariate correlation with the patient’s NCS-based severity score, but the other dysfunctionality indicators of holding a book, writing, and carrying market bags had not correlated significantly with the patients mean NCS-based severity.
The AUR ROC analysis also was congruent with the Pearson correlation test findings; most of the items had a significant predictive accuracy (AUR ROC, >0.74) of the patient’s NCS-based carpal tunnel severity score. However, the patient’s self-rated writing and holding a book dysfunctions were found to have poor predictive power in explaining the CTS-diagnosed patient’s NCS-based severe state. The remainder of the CTS dysfunctions indicators accurately explained the actual severity state of the CTS patients measured with NCS. Last but not least importantly, the patient’s overall mean BCTQ FSS had a great predictive accuracy (AUR ROC, 0.828) explaining the CTS patient’s severe state identified by NCS.
Finally, the multivariate generalized linear mixed model was used to test whether the CTS-diagnosed patients' subjective self-rated severity and dysfunction scores might not be used as an interim and comparative assessment tool to predict the patient’s severity measured with NCS. The findings (
Table 6) showed that the patients’ sexes, ages, and affected extremities did not converge statistically significantly on their NCS-based severity score (p>0.050 each). The patients’ self-rated mean BCTQ SSS correlated significantly and positively with their mean NCS-based severity score (r=0.634, p<0.010), indicating that as the patients’ mean BCTQ SSS tended to rise by 1 point; their corresponding mean NCS-based severity scores tended to rise by 0.96 points on average accordingly (
Fig. 1). Similarly, the patients’ BCTQ FSS converge significantly and positively on NCS-based CTS severity (r=0.447, p<0.010) (
Fig. 2).