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Original Research

The prevalence of probable neuropathic pain in the US: results from a multimodal general-population health survey

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Pages 2525-2538 | Published online: 01 Nov 2017

Figures & data

Table 1 Demographic characteristics of the study sample (n=24,925)

Figure 1 Study flowchart.

Notes: *Weighted data represent the frequency of the sample data after applying sampling weights, which were calculated by incorporating the age, sex, and race/ethnicity of the respondents. The US population is based on the most recent Current Population Survey (June 2015) conducted by the US Census Bureau. **Based on the self-reported question, “Have you experienced any physical pain in the last 12 months?” Patients who responded “Yes” were categorized as having pain for this study. Uppercase N refers to the US population, while lowercase n refers to the sample.
Abbreviation: NeP, neuropathic pain.
Figure 1 Study flowchart.

Figure 2 Distribution of PainDetect scores among those with pain (n=15,749).

Notes: Higher scores indicate increased likelihood of neuropathic pain. Respondents who did not self-report experiencing any pain in the past 12 months did not complete the PainDetect (n=9,174). Two respondents with pain in the past 12 months did not complete the PainDetect, and were not included in the PainDetect analyses.
Figure 2 Distribution of PainDetect scores among those with pain (n=15,749).

Figure 3 Heat map of the weighted prevalence of probable neuropathic pain, based on the PainDetect, among those with pain by demographic strata.

Figure 3 Heat map of the weighted prevalence of probable neuropathic pain, based on the PainDetect, among those with pain by demographic strata.

Table 2 Prevalence of NeP based on the PainDetect among all respondents and all respondents with pain by survey modality

Figure 4 Weighted comorbidity-prevalence estimates among respondents with probable NeP and respondents with pain but unlikely NeP.

Notes: Error bars indicate 95% confidence intervals.
Abbreviations: COPD, chronic obstructive pulmonary disease; GERD, gastroesophageal reflux disease; IBS, irritable bowel syndrome; MS, multiple sclerosis; NeP, neuropathic pain; RLS, restless leg syndrome; RA, rheumatoid arthritis; TIA, transient ischemic attack.
Figure 4 Weighted comorbidity-prevalence estimates among respondents with probable NeP and respondents with pain but unlikely NeP.

Table 3 Weighted demographic characteristics among respondents with probable NeP and respondents with pain but unlikely NeP

Figure 5 Weighted pain-type prevalence among respondents with probable NeP and respondents with pain but unlikely NeP.

Notes: Percentage based on those who self-reported having diabetes. Error bars indicate 95% confidence intervals. All pain types were significantly different between groups, with the exception of “Other” (P=0.062).
Abbreviation: NeP, neuropathic pain.
Figure 5 Weighted pain-type prevalence among respondents with probable NeP and respondents with pain but unlikely NeP.

Table 4 Respondents’ duration of pain by pain type

Table 5 Current NeP-medication use by respondents who self-reported experiencing nerve pain for at least 3 months

Table S1 Medications participants reported for nerve pain, categorized by class