ABSTRACT
The Weill Cornell Medical College Pain Registry database contains patient characteristics, treatments, and outcomes for a prospective cohort of 1,159 chronic pain patients who were seen at the Weill Cornell Medical College Pain Medicine outpatient clinic from July 8, 2011 to December 10, 2014. Patients aged 45 to 64 years comprised 43% followed by age ≥ 65 years at 37%. Fifty-eight percent were female. Average pain intensity (Brief Pain Inventory) was reported as mild by 22.3% of patients, moderate by 34.7%, and severe by 43.0%. For each pain intensity category, patient's report of average percent pain relief and health state (EuroQOL 5 Dimensions) was inversely related to average pain intensity category, whereas measures of pain interference, number of worst pain locations, and physical and psychological distress were directly related to pain intensity category. Seventy-seven percent of patients received an opioid at 1 or more clinic encounters. Median daily opioid dose in morphine equivalents was 55 with a range from 2 to 1,145 morphine equivalents. Regression analysis revealed that being male was associated with greater likelihood of an opioid ordered and higher average dosage than being female. The registry can identify patient characteristics and treatments that provide new insights into chronic pain management. PERSPECTIVE: This article describes results of analyses of patient-reported outcomes and patient-related electronic health record data collected under standard of care from a prospective cohort of chronic pain outpatients at a New York City pain management clinic. The registry provides an opportunity to learn how to improve individualized chronic pain management.
Subject(s)
Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Self Report , Treatment Outcome , Adult , Age Factors , Aged , Chronic Pain/psychology , Female , Humans , Logistic Models , Male , Middle Aged , Outpatients , Pain Measurement , Retrospective Studies , Young AdultABSTRACT
Pathogens are common and diverse in natural communities and have been implicated in the success of host invasions. Yet few studies have experimentally measured how pathogens impact native versus exotic hosts, particularly when individual hosts are simultaneously coinfected by diverse pathogens. To estimate effects of interactions among multiple pathogens within host individuals on both transmission of pathogens and fitness consequences for hosts, we conducted a greenhouse experiment using California grassland species: the native perennial grass Nassella (Stipa) pulchra, the exotic annual grass Bromus hordeaceus, and three virus species, Barley yellow dwarf virus-PAV, Barley yellow dwarf virus-MAV, and Cereal yellow dwarf virus-RPV. In terms of virus transmission, the native host was less susceptible than the exotic host to MAV. Coinfection of PAV and MAV did not occur in any of the 157 co-inoculated native host plants. In the exotic host, PAV infection most strongly reduced root and shoot biomass, and coinfections that included PAV severely reduced biomass. Infection with single or multiple viruses did not affect biomass in the native host. However, in this species the most potentially pathogenic coinfections (PAV + MAV and PAV + MAV + RPV) did not occur. Together, these results suggest that interactions among multiple pathogens can have important consequences for host health, which may not be predictable from interactions between hosts and individual pathogens. This work addresses a key empirical gap in understanding the impact of multiple generalist pathogens on competing host species, with potential implications for population and community dynamics of native and exotic species. It also demonstrates how pathogens with relatively mild impacts independently can more substantially reduce host performance in coinfection.