To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription's maximum potential Sig-MEDD, we developed SQL code to determine a prescription's maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered over 1 year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all the prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient's risk for opioid exposure.

Background

Coinfection with HIV and hepatitis C virus (HCV) is common. HIV infection and treatment are associated with hypercoagulability; thrombosis in HCV is underinvestigated. Proposed markers of hemostasis in HIV include higher D-dimer, Factor VIII%, and plasminogen activator inhibitor-1 (PAI-1) antigen and lower total Protein S% (TPS) but have not been examined in HCV. We assessed the independent association of HCV with these 4 measures of hemostasis in a multicenter, prospective study of HIV: the Women's Interagency HIV Study.

Methods

We randomly selected 450 HCV-infected (anti-HCV+ with detectable plasma HCV RNA) and 450 HCV-uninfected (anti-HCV-) women. HCV was the main exposure of interest in regression models.

Results

Four hundred forty-three HCV+ and 425 HCV- women were included. HCV+ women had higher Factor VIII% (124.4% ± 3.9% vs. 101.8% ± 3.7%, P < 0.001) and lower TPS (75.7% ± 1.1% vs. 84.3% ± 1.1%, <0.001) than HCV- women, independent of HIV infection and viral load; there was little difference in PAI-1 or log10 D-dimer. After adjustment for confounders, these inferences remained. HIV infection was independently associated with higher Factor VIII% and log10 D-dimer and lower TPS.

Conclusions

HCV was independently associated with higher Factor VIII% and lower TPS consistent with hypercoagulability. Higher Factor VIII% and D-dimer and lower TPS were also strongly associated with HIV infection and levels of HIV viremia, independent of HCV infection. Further investigation is needed to determine if there is increased thrombotic risk from HCV. Studies examining hemostasis markers in HIV infection must also assess the contribution of HCV infection.

: In HIV negatives, markers of hemostasis, including D-dimer, factor VIII, plasminogen activator inhibitor-1 antigen (PAI-1), and total protein S are associated with all-cause and cardiovascular disease mortality. In HIV positives, studies of D-dimer and factor VIII with death were limited to short follow-up; associations of PAI-1 and total protein S with death have not been examined. In 674 HIV-infected women from the Women's Interagency HIV Study, markers from the first visit after enrollment were exposures of interest in multivariate analyses of death (AIDS and non-AIDS) in separate models at 5 and 16 years. There were 87 AIDS and 44 non-AIDS deaths at 5 years, and 159 AIDS and 113 non-AIDS deaths at 16 years. An inverse association of total protein S quartiles with non-AIDS deaths was observed at 5 (P trend = 0.002) and 16 years (P trend = 0.02); there was no association with AIDS deaths. The third quartile of PAI-1 was associated with AIDS deaths at 5 [hazard ratio (HR) = 4.0; 95% confidence interval (CI): 1.9 to 8.4] and 16 years (HR = 3.4; 95% CI: 1.9 to 5.9); and with non-AIDS deaths at 5 years (HR = 4.8; 95% CI: 1.6 to 13.9). D-dimer and factor VIII were not associated with AIDS or non-AIDS death at 5 or 16 years. Lower total Protein S was a consistent marker of non-AIDS death. We found no association between D-dimer with AIDS or non-AIDS death, in contrast to previous studies showing increased short-term (<5 years) mortality, which may represent sex differences or population heterogeneity. Given longer survival on highly active antiretroviral therapy, further studies of these markers are needed to determine their prognostic value.