The pain--suffering association, a review.

OBJECTIVE: This review wished to determine the reported prevalence of suffering in various patient diagnostic groups and examine the evidence for the association of pain and suffering. DESIGN/SETTING: Twenty-four studies fulfilled inclusion-exclusion criteria. They were divided into the following groups: advanced cancer/terminal illness/hospice patients (AC/TI/H) (7 studies); hastened death/assisted suicide/euthanasia patients (HD/AS/E) (14 studies); noncancer (NC) patients (3 studies). No chronic nonmalignant pain (CNMP) suffering studies fulfilled inclusion-exclusion criteria of this review. The reported prevalence of suffering for each study was abstracted and the overall percentage of sufferers in each grouping calculated. For those studies that provided a statistical relationship between pain and suffering information was abstracted for whether these studies supported/did not support the association of pain and suffering. A vote counting method was utilized to determine the overall percentage of studies supporting/not supporting this association. The consistency of this data for supporting this association was then rated by Agency for Health Care Research and Quality guidelines. RESULTS: The prevalence of suffering in each grouping was as follows: AC/IT/H 45.7%; HD/AS/E 81.9%; NC 19.2%; and all groupings combined 59.9%. AC/TI/H and all groupings combined received an A rating (consistent evidence multiple studies for a statistical relationship between suffering and pain). HD/AS/E received a C (evidence which is inconsistent). For NC there were not enough studies for a consistency rating. CONCLUSIONS: The above results indicate a consistent association between suffering and pain in some patient groups. Studies addressing suffering are needed in CNPM patients.

What is the evidence that neuropathic pain is present in chronic low back pain and soft tissue syndromes? An evidence-based structured review.

OBJECTIVES: The objectives of this evidence-based review were to review the evidence for whether neuropathic pain (NP) is associated with chronic low back pain (CLBP) and soft tissue syndromes (STS), and review the reported prevalence percentages for NP within these syndromes. METHODS: Of 816 reports, 11 addressed the diagnosis of NP in CLBP and five of NP in STS. Studies were grouped by the method of arrival at an NP diagnosis, e.g., physical examination, type of NP inventory utilized, etc. The reported prevalence of NP was determined by aggregating all the patients in all the studies in each grouping. Similarly, the reported prevalence of NP within CLBP and STS was determined by aggregating all the patients with NP from all the studies in those groups. Each study was independently rated by two raters according to 11 quality criteria generating a quality score. The strength and consistency (SAC) of the evidence represented by each grouping was rated according to Agency for Health Care Policy and Research guidelines. RESULTS: In each grouping, 100% of the studies reported some prevalence of NP (none reported zero prevalence). Aggregated NP prevalence for CLBP was 36.6% (SAC level A [consistent multiple studies]) and for STS 41.1% (SAC level A). There was significant variation in prevalence according to the method utilized to diagnose NP. CONCLUSION: There is consistent evidence by all methods that NP is present in CLBP and STS. Reported prevalence percentages by all methods are substantial. This has significant implications for the treatment of CLBP and STS.

The prevalence of smokers within chronic pain patients and highest pain levels versus comparison groups.

OBJECTIVES.: The objectives of this study were to (1) compare the prevalence of smoking within chronic pain patients (CPPs) to community non-patients without pain (CNPWP), community patients with pain (CPWP), and acute pain patients (APPs); and (2) compare smokers to nonsmokers within CPPs, APPs, and CPWP for highest pain level. DESIGN.: CNPWP, CPWP, APPs, and CPPs were compared to each other for smoking status (nonsmoker, less than one pack per day, one pack/day or more, any amount per day). Within CPWP, APPs, and CPPs, smokers were also compared to nonsmokers by t-test for highest reported pain level. For both analyses, sub-analyses were performed controlling for age or gender, or race or education. RESULTS.: Utilizing all available patients, the prevalence of smokers within CPPs was significantly greater vs each of the comparison groups (CNPWP, CPWP, APPs). In the sub-analyses, only CPPs who were 38 or younger or male or White, or had some college or above were at greater risk than CPWP for smoking one pack or greater per day. CPP smokers were not significantly more likely than nonsmokers to have higher pain, and this was confirmed in the sub-analyses. CONCLUSIONS.: The prevalence of smokers could be significantly greater within CPPs vs CPWP. CPPs who smoke do not have higher levels of pain than nonsmoking CPPs.

Is smoking associated with alcohol-drug dependence in patients with pain and chronic pain patients? An evidence-based structured review.

OBJECTIVE: The objective of this study was to determine if there is consistent evidence for smoking to be considered a red flag for development of opioid dependence during opioid exposure in patients with pain and chronic pain patients (CPPs). METHODS: Six hundred and twenty-three references were found that addressed the areas of smoking, pain, and drug-alcohol dependence. Fifteen studies remained after exclusion criteria were applied and sorted into four groupings addressing four hypotheses: patients with pain and CPPs who smoke are more likely than their nonsmoking counterparts to use opioids, require higher opioid doses, be drug-alcohol dependent, and demonstrate aberrant drug-taking behaviors (ADTBs). Each study was characterized by the type of study it represented according to the Agency for Health Care Policy and Research (AHCPR) guidelines and independently rated by two raters according to 13 quality criteria to generate a quality score. The percentage of studies in each grouping supporting/not supporting each hypothesis was calculated. The strength and consistency of the evidence in each grouping was rated by the AHCPR guidelines. RESULTS: In each grouping, 100% of the studies supported the hypothesis for that grouping. The strength and consistency of the evidence was rated as A (consistent multiple studies) for the first hypothesis and as B (generally consistent) for the other. CONCLUSIONS: There is limited consistent indirect evidence that smoking status in patients with pain and CPPs is associated with alcohol-drug and opioid dependence. Smoking status could be a red flag for opioid-dependence development on opioid exposure.

What variables are associated with an expressed wish to kill a doctor in community and injured patient samples?

Working in a health care setting has been identified as a primary risk factor for violent assault, which is often perpetrated by patients. Patient dangerousness is a multidimensional phenomenon, which may include violent ideation, homicidal planning, a history of violent acts, or overt threatening behavior. Although the verbal report of thoughts of killing a doctor is only one of many risk factors for patient dangerousness, reports of homicidal ideation are widely regarded as being sufficient to warrant concern, and to indicate a need for further assessment of the patient. In this study, 2264 subjects (1329 healthy community subjects, 158 non-healthy community subjects, and 777 rehabilitation patients) were asked if they had a desire to kill a doctor that they had seen. Subjects responding positively to this item were compared to subjects responding negatively to the item using all available demographic variables and BHI 2 scales using chi-square or t-test. Significant variables (p<.01) were then utilized in a logistic regression to generate a model for this wish. Three variables significantly predicted this wish: the Doctor Dissatisfaction (p<.001) and Borderline (p<.001) scales of the BHI 2, and injury-related litigation status (p=.002). The presence of one of these variables, especially Doctor Dissatisfaction, should prompt a more thorough assessment of potential danger to healthcare workers.

Are chronic low back pain patients who smoke at greater risk for suicide ideation?

OBJECTIVES: There is significant psychiatric literature indicating that smoking is associated with all forms of suicidality, including suicide ideation. The goal of this study was to determine if smoking is associated with suicide ideation in chronic low back pain (CLBP) patients. DESIGN: CLBP patients identified themselves as either current smokers (N = 81) or nonsmokers (N = 140) and completed a number of evaluation instruments, which included the Beck Depression Inventory (BDI) and the Coping Strategies Questionnaire (CSQ). BDI question number 9 was utilized to define CLBP with suicide ideation and subsequently, in addition, items number 3 and number 6 from the CSQ were added to the BDI item number 9 in order to fully capture CLBP with suicide ideation. Utilizing this expanded definition of suicide ideation (BDI plus CSQ), CLBP smokers were compared with CLBP nonsmokers for the frequency of suicide ideation. Regression analysis was utilized to investigate the CLBP smoking suicide ideation group. Finally, we investigated whether heavy use of alcohol and coffee impacted on CLBP heavy smokers in terms of increasing suicide ideation risk. SETTING: CLBP patients were recruited from a pain facility. RESULTS: CLBP smokers were more likely to complain of suicide ideation, and this relationship correlated with the number of cigarettes smoked per day. Seventy-eight percent of the CLBP smokers were classified correctly in terms of the presence of suicide ideation by three variables: diagnosis of major depression, Function Assessment Questionnaire total score, and BDI total score. The relative risk of suicide ideation was increased by combining heavy smoking (greater than one pack per day) with heavy alcohol use. CONCLUSIONS: CLBP smokers appear to be at greater risk for suicide ideation than nonsmoking CLBP patients. The risk of suicide ideation is even greater if the CLBP patient is a heavy smoker and has problems with alcohol.

Alleged breaches of "standards of medical care" in a patient overdose death possibly related to chronic opioid analgesic therapy, application of the controlled substances model guidelines: case report.

OBJECTIVES: The objectives of this medicolegal case report are the following: 1) to present details of a chronic pain patient (CPP) who was placed on chronic opioid analgesic therapy (COAT), and subsequently overdosed on multiple drugs, some of which were not prescribed by his COAT physician; 2) to present both the plaintiff's and defendant's (the COAT prescriber) expert witnesses' opinions as to the allegation that COAT prescribing was the cause of death; and 3) based on these opinions, to develop some recommendations on how pain physicians can utilize the use of Controlled Substances Model Guidelines in order to protect the patient and themselves from such an occurrence. METHODS: This is a case report of a CPP treated by a pain physician. RESULTS: Differences between the plaintiff's and defendant's expert's opinions are explained utilizing the Controlled Substances Model Guidelines. CONCLUSIONS: Some CPPs may withhold information critical to their COAT treatment. Application of the Controlled Substances Model Guidelines and the newer Federation of State Medical Boards' policy on opioid prescribing can be helpful in improving patient care and may be helpful in protecting the physician medicolegally.

Does smoking status affect multidisciplinary pain facility treatment outcome?

OBJECTIVES: Smoking may be a major problem in chronic low back pain (LBP) patients. The goal of this study was to determine whether smoking status affected multidisciplinary pain facility treatment outcome. DESIGN: As part of a grant study, chronic LBP patients identified themselves as either current smokers (N = 81) or current nonsmokers (N = 140), and were compared by chi-square for employment status at 1, 6, 12, and 24 months after multidisciplinary pain facility treatment. Smokers who were unemployed at each time interval were then compared with employed smokers for a large number of assessment scales and clinical variables of interest by chi-square or Student's t-test. The significant independent variables from these analyses were then utilized in a logistic regression to determine predictors for smoker nonemployment. SETTING: Pain facility. RESULTS: Current smokers were less likely to be employed at each follow-up time point. Pain levels over the previous 24 hours predicted employment status for current smokers at 1-, 12-, and 24-month follow-up, while worker compensation status predicted employment status at 6 months. CONCLUSIONS: Current smoking status appears to be associated with poorer treatment outcome after multidisciplinary pain facility treatment. Return to work within smokers is predicted by pain and worker compensation status. Pain facilities should target current smokers with significant perceived pain for close treatment monitoring in an attempt to improve treatment outcome.

Pharmacotherapeutic management of breakthrough pain in patients with chronic persistent pain.

Breakthrough pain (BTP) is experienced by many patients being treated with opioids for the management of chronic persistent pain. Control of BTP has been problematic since, until recently, the pharmacokinetics of older treatments was largely incompatible with the onset and duration of these pain episodes. Newer agents are now available that better approximate the timing of BTP episodes, and their use is increasingly being integrated into opioid-based pain management strategies. Successful management of BTP can improve treatment satisfaction and the quality of life of patients with chronic persistent pain of both cancer and noncancer origins. This article reviews the types of BTP, the therapeutic options available to manage BTP, and the tools designed to detect and minimize the risk of aberrant drug-related behaviors potentially associated with opioid medications.

Can the neuropathic pain scale discriminate between non-neuropathic and neuropathic pain?

OBJECTIVES: 1) To determine if the neuropathic pain scale (NPS) can be used to classify chronic pain patients (CPPs) as having primarily neuropathic vs non-neuropathic pain, and furthermore; 2) to determine what, if any, cut-off score can be used to reliably make this determination. DESIGN: A total of 305 CPPs consecutive admissions to The Rosomoff Pain Center were administered the NPS and were assigned a diagnosis according to the physical examination and all available test results. CPPs with a diagnosis of chronic radiculopathy and spondylolysis/degenerative arthritis were segregated into two groups for the purposes of having a group representative of neuropathic pain (chronic radiculopathy) and non-neuropathic pain (spondylolysis/degenerative arthritis). Applying neuropathic pain criteria to each "of these two groups": a neuropathic pain "subtype" was identified within the chronic radiculopathy group; and, a non-neuropathic pain "subtype" was identified within the spondylolysis/degenerative arthritis group. This step was performed in order to assure that the CPPs selected for further analysis were truly representative of neuropathic and non-neuropathic pain. Discriminant function analysis was then employed to determine if NPS scoring could differentiate between these two "subtypes." Results from the discriminant function analysis model were utilized to derive an NPS cut-off score above which CPPs would be classified as having neuropathic pain. For the diagnoses of myofascial pain syndromes, spinal stenosis, epidural fibrosis, fibromyalgia, complex regional pain syndromes 1 and 2, and failed back surgery syndrome, a predicted NPS score was calculated and compared with the cut-off score. SETTING: Multidisciplinary pain facility. PATIENTS: Chronic pain patients. RESULTS: The NPS appeared to be able to separate CPPs into neuropathic pain vs non-neuropathic pain subtypes. The derived cut-off score from the model was 5.53. Myofascial pain syndrome and spinal stenosis had predictive scores lower than this cut-off score at 3.81 and 4.26, respectively. Epidural fibrosis, fibromyalgia, complex regional pain syndromes 1 and 2, and failed back surgery syndrome had predictive scores higher than the cut-off score at 6.15, 6.35, 6.87, 9.34, and 7.19, respectively. CONCLUSIONS: The NPS appears to be able to discriminate between neuropathic and non-neuropathic pain. A debate is currently raging as to whether diagnoses, such as fibromyalgia and complex regional pain syndrome 1, can be classified as neuropathic. Our NPS cut-off score results suggest that these diagnoses may have a neuropathic pain component. The reliability and validity of our NPS method will need to be tested further in other neuropathic pain models, such as diabetic peripheral neuropathic pain.

Variables associated with current smoking status in chronic pain patients.

OBJECTIVES: Smokers may report more pain and may be at greater risk for psychiatric comorbidity. Smoking may be a major problem in chronic pain patients (CPPs). The goal of this study was to determine if pain and psychiatric comorbidity are associated with smoking status in CPPs. DESIGN: As part of a return-to-work grant study CPPs who could potentially return to work identified themselves as either current smokers (N=81) or nonsmokers (N=140). These two groups were compared on a large number of demographic, function, pain, disability, behavior, and psychiatric diagnoses variables gathered at admission into the grant study. The incidence of smoking was tested with either the student's t-test or chi-square to detect differences in continuous and categorical variables, respectively. Logistic regression was utilized to determine the predictive variables for smoking status by inputting significant independent variables (P<0.01) from the prior analyses. SETTING: Pain facility. RESULTS: Five variables were found to explain 38.8% of the variance for smoking status. These were education; race (Caucasian); cups of coffee per day; a diagnosis of current alcohol abuse/dependence; and personality disorder. CONCLUSIONS: Smoking status in CPPs is associated with some variables that are similar for smoking in the general and psychiatric populations (education, race, alcoholism). However, a number of variables expected to be relevant (e.g., mood disorders) were not associated with smoking status in CPPs. These results may not be generalizable to all CPPs as they are derived from CPPs who are return-to-work candidates.

What patient attributes are associated with thoughts of suing a physician?

OBJECTIVE: To address a neglected research area: the attributes of rehabilitation patients associated with "thoughts of suing a physician" (S-MD). DESIGN: The S-MD statement "I am thinking about suing one of my doctors" was administered to 2264 people, along with the Battery for Health Improvement (BHI 2). Items predictive of S-MD were identified. SETTING: Acute physical therapy, work hardening programs, chronic pain programs, physician offices, and vocational rehabilitation programs. PARTICIPANTS: Participants included 777 rehabilitation patients and 1487 nonpatient community-dwellers. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: We used a multivariate analysis of variance to determine which of the 18 BHI 2 scales predicted the S-MD statement. Items from the scales found to be predictive, plus other variables, were then used in a chi-square analysis that compared people who wished to sue with those who did not. We then used a stepwise regression analysis with significant items from the prior analyses to build a model for predicting a potential S-MD patient. RESULTS: The highest percentage (11.5%) of patients affirming the S-MD statement were those involved in workers' compensation and personal injury litigation, compared with only 1.9% of community-living subjects. Stepwise regression of BHI 2 variables produced a 13-variable model explaining 38.04% of the variance. A logistic regression of demographic variables (eg, education, ethnicity, litigiousness) explained 20% of the variance. CONCLUSIONS: Anger (P<.001), mistrust (P<.001), a focus on compensation (P<.001), addiction (P<.001), severe childhood punishments (P<.001), having attended college (P<.001), and other patient variables were associated with thoughts of suing a physician.

Multidisciplinary pain facility treatment outcome for pain-associated fatigue.

OBJECTIVES: Fatigue is frequently found in chronic pain patients (CPPs) and may be etiologically related to the presence of pain. Fishbain et al. have recently demonstrated that chronic low back pain (LBP) and chronic neck pain patients are more fatigued than controls. The purpose of this study was to determine whether chronic LBP- and chronic neck pain-associated fatigue responded to multidisciplinary multimodal treatment not specifically targeted to the treatment of fatigue. DESIGN: A total of 85 chronic LBP and 33 chronic neck pain patients completed the Multidimensional Fatigue Inventory (MFI), Neuropathic Pain Scale (NPS), and Beck Depression Inventory on admission. In addition, an information tool was completed on each CPP by the senior author. This tool listed demographic information, primary and secondary pain diagnoses, Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) psychiatric diagnoses assigned, pain location, pain precipitating event, type of injury, years in pain, number of surgeries, type of surgery, type of pain pattern, opioids consumed per day in morphine equivalents, worker compensation status, and whether, according to the clinical examination, the CPP had a neuropathic pain component. At completion of the multidisciplinary multimodal treatment, each CPP again completed the MFI. Student's t-test was utilized to test for statistical changes on the MFI five scales from pre- to post-treatment. Pearson and point-biserial correlations were utilized to determine which variables significantly correlated with MFI change scores. Variables found significant at less than or equal to 0.01 were utilized in a stepwise aggression analysis to find variables predictive of change in MFI scores. SETTING: Multidisciplinary pain facility. PATIENTS: Chronic LBP and chronic neck pain patients. RESULTS: Multidisciplinary multimodal treatment significantly improved CPP fatigue as measured by the MFI. The available variables utilized to predict fatigue best explained only a small percentage (28.9%) of the variance. Improvement in fatigue was related to NPS-10 scale scores (neuropathic pain) and a previous diagnosis of fibromyalgia. CONCLUSIONS: Multidisciplinary multimodal pain facility treatment improves chronic LBP- and neck pain-associated fatigue. At the present time we cannot predict this improvement with significant accuracy.

Polypharmacy treatment approaches to the psychiatric and somatic comorbidities found in patients with chronic pain.

This review outlines the following: psychiatric and somatic comorbidities associated with chronic pain and their relationship to polypharmacy treatment, indications for polypharmacy in chronic pain, criteria for rational polypharmacy, basic principles of polypharmacy for pain-associated comorbidity, and, based on the above, psychopharmacologic polypharmacy treatment approaches to these chronic pain-associated comorbidities.

Are patients with chronic low back pain or chronic neck pain fatigued?

OBJECTIVES: The objectives of this study were the following: to determine if fatigue is present in chronic low back pain (LBP) and chronic neck pain patients to a greater extent than in controls (nonpatients); to determine which variables are associated with the presence of fatigue; and to determine which of the above chronic pain patient (CPP) groups is more fatigued. To the authors' knowledge, this is the first such study in the literature. DESIGN: Totals of 175 chronic LBP and 33 chronic neck pain patients completed the Multidimensional Fatigue Inventory (MFI), Neuropathic Pain Scale (NPS), and Beck Depression Inventory rating scales on admission. In addition, an information tool was completed on each CPP and contained the following information: demographics, primary and secondary pain diagnoses, DSM-IV psychiatric diagnoses assigned, pain location, pain precipitating event, type of injury, years in pain, number of surgeries, types of surgery, type of pain pattern, opioids consumed per day in morphine equivalents, workers' compensation status, and whether, according to the clinical examination, the pain did or did not have a neuropathic component. Scores on the MFI were then compared with published norms for controls (nonpatients) via chi-squared tests. Bivariate analyses were conducted between the MFI subscales and the variables selected for analysis. Pearson correlations, analyses of variance, and t-tests were used to test for relationships between MFI scale scores and the appropriate variables. In the next step of the analysis, stepwise regression analyses were used to predict each of the MFI subscale scores using the variables that were found to be significantly (P < 0.05) related to fatigue by the preceding analysis. In the final analysis, the variables that were significant predictors of the fatigue subscales were controlled for as covariates in an analysis of variance in order to determine if chronic LBP patients had scores on the MFI subscales that were significantly different from those of chronic neck pain patients. SETTING: Multidisciplinary pain facility. PATIENTS: Chronic LBP and chronic neck pain patients. RESULTS: Chronic LBP and chronic neck pain patients were found to be significantly more fatigued than controls (nonpatients). Most of the MFI subscale scores could be predicted by four major variables: presence of neuropathic pain, female gender, presence of depression, and total number of DSM-IV diagnoses. Chronic LBP patients were as fatigued as chronic neck pain patients. CONCLUSIONS: The complaint of fatigue appears to be a significant problem for chronic LBP and chronic neck pain patients. This complaint may be associated with neuropathic pain, female gender, and psychiatric comorbidities.

Physical findings in patients with chronic intractable benign pain of the neck and/or back.

Chronic intractable benign pain (CIBP) is defined as non-neoplastic pain of greater than 6 months duration without objective physical findings and known nociceptive peripheral input. To test the CIBP concept, 283 consecutive chronic pain patients were examined independently by a neurosurgeon and physiatrist and only congruent physical findings were coded. Because they did not fit the CIBP definition, patients with the following primary treatment diagnoses were eliminated: degenerative disease of the spine and spinal stenosis; degenerative disease of the hips; radiculopathy; malignancy; deafferentation pain; and miscellaneous. Eliminated, also, were patients with any one finding indicative of a root compression syndrome, leaving 90 low back and 34 neck patients. These patients had abnormal physical findings in 7 categories: tender points/trigger points; decreased ranges of motion in back or neck; non-anatomical sensory loss; rigid musculature; decreased range of hip motion; gait disturbance; and miscellaneous non-neurologic signs. Low back CIBP patients had the following distribution among the 7 categories: 0% had findings of all 7; 1.1% had 6; 13.3% had 5; 24.4% had 4; 25.6% had 3; 26.7% had 2; 8.9% had 1; and 0% had none. Neck CIBP patients, in which only the first 4 categories of physical findings were applicable had the following distribution: 2.9% had 4; 41.2% had 3; 35.3% had 2; 20.6% had 1; and 0% had none. It was concluded that CIBP patients do have abnormal physical findings indicative of musculoskeletal disease: possibly fibrositis and/or specific myofascial syndromes, as sources of peripheral nociception. These findings question the validity of the CIBP concept and point to the need for a careful, all-inclusive physical examination as a basic initial requirement in the classification of chronic pain patients.