Ethnic Differences Identified by Pain Sensitivity Questionnaire Correlate With Clinical Pain Responses.

BACKGROUND AND OBJECTIVES: The Pain Sensitivity Questionnaire, English version (PSQ-E), is predictive of pain-related responses to experimental stimuli. Ethnic differences have been noted in experimental measures of pain sensation using quantitative sensory testing. The present study sought to determine if the PSQ-E also identified similar ethnic differences. METHODS: Fifty-seven subjects who self-identified as African Americans (AAs) and who were scheduled to undergo a low-back interventional procedure completed the PSQ-E and other questionnaires. Their data were compared with an age-, sex-, and opioid usage-matched sample of 57 self-identified non-Hispanic white (NHW) subjects. Pain ratings on a visual analog scale (VAS) were obtained following 2 standardized injections of subcutaneous lidocaine (VAS1-infiltration in hand, VAS2-infiltration of procedural site). Correlations between PSQ-E scores, VAS measures, and other inventories were tested. RESULTS: The PSQ-E scores and clinical and experimental pain scores were all significantly elevated in AA compared with NHW patients (P < 0.05 for experimental pain scores, P < 0.001 for PSQ and clinical pain scores). Measures of pain interference, depression, anxiety, and pain catastrophizing were not different between groups. Similar to our previous study, PSQ-E scores significantly correlated with both experimental and clinical pain scores (eg, PSQ-E with Brief Pain Inventory pain score: r = 0.39, P < 0.001). CONCLUSIONS: The study demonstrated significantly elevated pain sensitivity in AA compared with NHW patients as measured by the PSQ-E and experimental and clinical pain intensity scores. This shows that the PSQ reflects the known elevation of pain sensitivity in AA subjects and suggests that it may be useful in assessing pain treatment disparities by identifying and standardizing differences in pain sensitivity.

Why do pregnant women die? A review of maternal deaths from 1990 to 2010 at the University of Alabama at Birmingham.

BACKGROUND: The number of reported pregnancy-related deaths in the United States steadily increased from 7.2 deaths per 100,000 live births in 1987 to a high of 17.8 deaths per 100,000 live births in 2009. Compared to Caucasian women, African American women were nearly 4 times as likely to die from childbirth. To better understand the reason for this trend, we conducted a case-control study at University of Alabama at Birmingham (UAB) Hospital. Our primary study hypothesis was that women who died at UAB were more likely to be African American than women in a control group who delivered an infant at UAB and did not die. We expected to find a difference in race proportions and other patient characteristics that would further help to elucidate the cause of a racial disparity in maternal deaths. METHODS: We reviewed all maternal deaths (cases) at UAB Hospital from January 1990 through December 2010 identified based on electronic uniform billing data and ICD-9 codes. Each maternal death was matched 2:1 with women who delivered at a time that most closely coincided with the time of the maternal death in 2-step selection process (electronic identification and manual confirmation). Maternal variables obtained were comorbidities, duration of hospital stay, cause of death, race, distance from home to hospital, income, prenatal care, body mass index, parity, insurance type, mode of delivery, and marital status. The strength of univariate associations of maternal variables and case/control status was calculated. The association of case/control status and race was also examined after controlling for residential distance from the hospital. RESULTS: There was insufficient evidence to suggest racial disparity in maternal death. The proportion of African American women was 57% (42 of 77) in the maternal death group and 61% (94 of 154) in the control group (P = 0.23). The univariate odds ratio for maternal death for African American to Caucasian race was 0.66 (95% confidence interval [CI], 0.37-1.19); the adjusted odds ratio was 1.46 (95% CI, 0.73-3.01). Longer compared with shorter distance of residence to the hospital was a highly significant predictor (P < 0.001) of maternal death. CONCLUSIONS: We did not observe a racial disparity in maternal deaths at UAB Hospital. We suggest that the next step toward understanding racial differences in maternal deaths reported in the United States should be directed at the health care delivery outside the tertiary care hospital setting, particularly at eliminating access barriers to health care for all women.

Validation of the English language pain sensitivity questionnaire.

BACKGROUND AND OBJECTIVES: The Pain Sensitivity Questionnaire (PSQ) is predictive of pain-related responses to experimental stimuli in German-speaking individuals. Here, we explored the validation of the English translation of the PSQ (PSQ-E). METHODS: One hundred thirty-six patients scheduled to undergo a low back interventional procedure completed the PSQ-E and other questionnaires including the Brief Pain Inventory. Pain ratings on a visual analog scale (VAS) were obtained following 2 standardized injections of subcutaneous lidocaine (VAS 1, infiltration in hand; VAS 2, infiltration of procedural site). The VAS measures were compared with the PSQ-E data and other inventories using linear regression analysis with stepwise selection of variables. RESULTS: The PSQ-E properties were in all respects similar to those of the original German PSQ. VAS 1 magnitude was predicted by PSQ-E-minor (r = 0.26, P < 0.01). VAS 2 magnitude was predicted by PSQ-E-minor (r = 0.34, P < 0.001), and the prediction was significantly enhanced by further inclusion of the Brief Pain Inventory interference score (total r = 0.40, P < 0.001). CONCLUSIONS: The study demonstrated that a significant correlation exists between the PSQ-E and clinically relevant pain ratings. This study validates the PSQ-E both in terms of measuring pain sensitivity and as possible means of recognizing patients with high pain sensitivity. Defining this subset of patients may have clinical utility in the future.