Assessing analgesic use in patients with advanced cancer: development of a new scale--the Analgesic Quantification Algorithm.

OBJECTIVE: Many patients with advanced cancer frequently use analgesic medications for their pain. Systematically assessing and quantifying changes in analgesic use remains challenging in the clinical trials setting. Currently, there is no sensitive scale for categorizing the intensity of analgesic medications to understand the reasons for changes in patient-reported pain. We assessed whether the Analgesic Quantification Algorithm (AQA) is more sensitive than the World Health Organization Analgesic Treatment Ladder (WHO-AL) for quantifying analgesic medication use among patients with advanced cancer. METHODS: An expanded equianalgesic potency conversion table was developed to establish oral morphine equivalents for use in the AQA. Categories of opioid use were selected to increase sensitivity within the higher dose range of opioids and to better capture increases in analgesic dose intensity. The resulting 8-point AQA scale corresponds to no analgesic use, non-opioid analgesics, weak opioids only, ≤75 mg, >75-150 mg, >150-300 mg, >300-600 mg, and >600 mg oral morphine equivalents per day. Baseline and 6-month analgesic data from a clinical trial of cancer patients were compared for each instrument. RESULTS: At both time points, the 4-point WHO-AL demonstrated a ceiling effect with a clustering of patients in the strong opioid category, whereas the AQA resulted in a distribution of scores throughout the eight categories, including the five strong opioid categories. CONCLUSIONS: The AQA represents a more sensitive measure of analgesic use than the WHO-AL, and may better determine whether changes in pain assessments in clinical trials are due to the intervention or changes in analgesic use.

Integrating pain metrics into oncology clinical trials.

Cancer-related pain is highly prevalent and often severe, and as a result is often one of the defining experiences for patients with malignancy. Patients and patients' families almost always live with the ever-present reality that cancer treatment and progression may be accompanied by pain. For patients nearing the end of life, most fear that their final days will be spent living with the terrible effects of the disease, the most important of which is pain. Despite this, there is far less systematic research on the mechanisms of cancer-related pain or on the development of new agents to reduce or eliminate pain in cancer patients compared with research to combat the disease itself. Further, even when the focus of research is treatment of the tumor, the effects of anticancer treatments on pain are often underreported in publications and other forums. To illustrate the relative drought in the cancer pain control area, there have been no new drugs approved for cancer-related pain in recent years. A number of methodologic and logistical challenges that hinder the ability to assess pain response in clinical trials are discussed in this article. Possible ways to address these challenges are also discussed.

Double-blind comparison of full and partial anemia correction in incident hemodialysis patients without symptomatic heart disease.

It is unclear whether physiologic hemoglobin targets lead to cardiac benefit in incident hemodialysis patients without symptomatic heart disease and left ventricular dilation. In this randomized, double-blind study, lower (9.5 to 11.5 g/dl) and higher (13.5 to 14.5 g/dl) hemoglobin targets were generated with epoetin alpha over 24 wk and maintained for an additional 72 wk. Major eligibility criteria included recent hemodialysis initiation and absence of symptomatic cardiac disease and left ventricular dilation. The primary outcome measure was left ventricular volume index (LVVI). The study enrolled 596 patients. Mean age, duration of dialysis therapy, baseline predialysis hemoglobin, and LVVI were 50.8 yr, 0.8 yr, 11.0 g/dl, and 69 ml/m2, respectively; 18% had diabetic nephropathy. Mean hemoglobin levels in the higher and lower target groups were 13.3 and 10.9 g/dl, respectively, at 24 wk. Percentage changes in LVVI between baseline and last value were similar (7.6% in the higher and 8.3% in the lower target group) as were the changes in left ventricular mass index (16.8 versus 14.2%). For the secondary outcomes, the only between-group difference was an improved SF-36 Vitality score in the higher versus the lower target group (1.21 versus -2.31; P = 0.036). Overall adverse event rates were similar in both target groups; higher (P < 0.05) rates of skeletal pain, surgery, and dizziness were seen in the lower target group, and headache and cerebrovascular events were seen in the higher target group. Normalization of hemoglobin in incident hemodialysis patients does not have a beneficial effect on cardiac structure, compared with partial correction.

Impact of epoetin alfa on clinical end points in patients with chronic renal failure: a meta-analysis.

BACKGROUND: Numerous randomized, controlled trials have demonstrated that recombinant human erythropoietin (rHuEPO, epoetin alfa) significantly raises hemoglobin levels, reduces transfusion requirements, and improves quality of life in anemic patients with chronic renal failure. However, this accumulation of data has yet to be systematically examined. The objectives of this meta-analysis were to quantify the effects of epoetin alfa on clinical efficacy, quality of life, hospitalizations, and transfusions by collecting and analyzing the published body of evidence. METHODS: Sixteen published studies fulfilled all inclusion criteria and were subjected to data extraction. Data specifically related to hemoglobin and/or hematocrit levels, quality-of-life measurements, number and length of hospitalizations, and number of blood transfusions were then pooled across studies using a random effects meta-analysis. Simple combined estimates of the preselected variables were calculated, and adjusted estimates were made using meta-regression. RESULTS: Baseline hemoglobin levels (<8 g/dL) increased substantially (40% to 50%) after epoetin alfa administration to a nonanemic state (Hb >11 g/dL) for the pooled study group. Substantial improvements (10% to 70%) were observed for all measures of quality of life. In addition, patients who received epoetin alfa had substantial reductions in hospitalization rate, hospital length of stay, transfusion rate, and number of units transfused. CONCLUSION: This meta-analysis strongly suggests that epoetin alfa therapy for patients with chronic renal failure provides important clinical and quality-of-life benefits while substantially reducing hospitalizations and transfusions.

Baseline and early treatment factors are not clinically useful for predicting individual response to erythropoietin in anemic cancer patients.

Recombinant human erythropoietin (rHuEPO) is an effective treatment for anemia in patients with cancer, and recent studies show that over two-thirds of patients can be expected to respond with a large increase (>2 g/dl) in hemoglobin concentration. However, it would be helpful to identify likely responders and nonresponders before initiating treatment. Previous studies have suggested that high pretreatment endogenous erythropoietin levels are associated with a lower response to erythropoietin, especially in certain patient groups, such as patients with hematological malignancies, non-chemotherapy patients, or patients with myelodysplastic syndrome. Various algorithms have therefore been developed to predict patient response to rHuEPO using baseline serum erythropoietin levels and other baseline factors. We performed an analysis of data pooled from four randomized clinical trials of 604 patients with non-myeloid malignancies, examining the clinical usefulness of pretreatment and early treatment factors for predicting response to erythropoietin. The analysis confirms several other reports that the most predictive models combined pretreatment and early treatment factors, including change in hemoglobin at 4 weeks, but even these models did not increase sensitivity above 85% (total response in unselected patients was 68.1%), while specificity remained poor. We conclude that clinically useful prediction of response to erythropoietin is not possible using baseline or early response variables because of poor sensitivity and specificity of prediction compared with generally accepted clinical tests.

Epoetin alfa treatment results in clinically significant improvements in quality of life in anemic cancer patients when referenced to the general population.

PURPOSE: Anemia, highly common among cancer patients, is often an underlying cause of cancer-related fatigue and other quality-of-life (QOL) deficits. Although randomized clinical trials have shown that treatment with epoetin alfa increases hemoglobin levels, reduces fatigue, lessens transfusion requirements, and improves overall QOL, cancer-related anemia and fatigue remain undertreated. This is, in part, because scales and measures of QOL are still relatively unfamiliar to most clinicians and because population-based reference ranges are lacking, thus making clinical trial results difficult to interpret. METHODS: To aid in the interpretation of QOL results from clinical trials, we administered the Functional Assessment of Cancer Therapy-Anemia (FACT-An) QOL instrument to a nationally representative sample of 1,400 people using an Internet survey panel in the United States. We then compared the FACT-An data from the Internet survey with the QOL data of a 375-patient randomized, double-blind clinical trial evaluating epoetin alfa versus placebo in anemic cancer patients. RESULTS: FACT-An, as administered to the survey population, displayed good psychometric properties and was able to discriminate between respondents with histories of specified illnesses, including anemia and cancer, and those without. Comparison of the population norm and clinical trial data showed that treatment with epoetin alfa resulted in clinically meaningful as well as statistically significant improvements in QOL (P <.01). CONCLUSION: Reliable population norm data are now available to aid in the interpretation of clinical trial results where the FACT-An questionnaire is administered. In the clinical trial, treatment with epoetin alfa overcame much of the QOL deficit seen in anemic cancer patients compared with the norm population sample.

Age, anemia, and fatigue.

Many conditions that would not be considered normal in a younger population are routinely accepted in older people as a part of so-called "normal" aging. Among these conditions are many chronic and debilitating conditions such as chronic pain, insomnia, weakness, fatigue, and anemia. This article reviews current evidence regarding the relationships among age, fatigue, weakness, anemia, and erythropoiesis. Anemia in the elderly is important because it can lead to weakness, fatigue, limitations in activity, and may increase cardiovascular risk. Recent studies of the effect of erythropoietin in an aging population support the hypothesis that anemia is associated with pathologic factors and not with normal aging. While older individuals admitted to hospitals are more likely to be anemic, these same individuals have a bone marrow mass and numbers of cultured progenitor cells that are similar to that of the younger population; therefore, the predicted response to erythropoietin, and thus the function of the bone marrow and cellular progenitors, is maintained. Thus, we can conclude that anemia is a correctable pathologic finding in elderly people. A number of studies have shown a strong relationship between fatigue and anemia, but few studies investigate to what degree age is a factor in weakness and fatigue. In a study of 375 anemic cancer patients with a median age of 61 years, age as a covariate in multiple linear regression analysis failed to reach significance for most measures of function and quality of life (QOL), including measures of energy, activities, mental health, general cancer-related QOL, and overall QOL. Additional analysis suggests that other factors, including cancer progression, hemoglobin change, and baseline hemoglobin levels, are much more important in determining change in functional and quality-of-life scores. In another set of 2,000 cancer patients and 1,000 controls, cancer patients experienced significantly more fatigue compared with controls. There was no correlation between cancer patient age and fatigue, while in controls the cohort aged 65 or more reported more fatigue than did younger subjects. Finally, measurement of QOL in the general population demonstrated, for both the Short-Form 36 and Functional Assessment of Cancer Therapy - Anemia questionnaires, that age alone is not significantly correlated with QOL. We suggest that chronic conditions such as fatigue and anemia are no more "normal" in an aging population than in a general population, and that all patients with chronic conditions be adequately treated and counseled for their condition.