Patients with chronic obstructive pulmonary disease and pulmonary hypertension (PH-COPD) have an increased risk of hospitalizations and death compared to COPD alone. Identifying PH in COPD is challenging because performing right heart catheterization, the gold standard for PH diagnosis, is invasive and not routinely performed. Clinical characterization of COPD patients at risk who are progressing toward PH will aid therapeutic development at earlier stages of progressively fatal PH-COPD. We studied the records of 5,45,086 patients in a large Veterans Affairs healthcare network (2000-2012) with a primary discharge diagnosis of COPD based on encounters' ICD-9 codes and further stratified into those who received an additional ICD-9 code for a PH diagnosis. Patients with PH-COPD were assigned to one of the four subgroups: those with (a) no history of exacerbation or hospital admissions, (b) history of exacerbations but no hospital admissions, (c) hospital admissions unrelated to COPD and (d) history of COPD exacerbation-related hospital admissions. We also examined the COPD and COPD-PH cohorts for associated comorbidities such as cardiac disease and the presence of obstructive sleep apnea (OSA). A regression analysis revealed that patients with COPD exacerbation-related hospital admissions had 7 × higher risk of having a concomitant clinical diagnosis of PH compared to non-hospitalized patients. COPD-PH patients had higher rates of cardiac comorbidities (89% vs. 66%) and OSA (34% vs. 16%) compared to COPD alone. We conclude that COPD patients hospitalized for COPD exacerbations are at a higher risk for developing PH, and hospitalized COPD patients with cardiac comorbidities and/or OSA should be screened as at-risk population for developing PH.
IntroductionThe provision of safe, effective, cost-efficient perioperative inpatient acute pain management is an important concern among clinicians and administrators within healthcare institutions. Overreliance on opioid monotherapy in this setting continues to present health risks for patients and increase healthcare costs resulting from preventable adverse events. The goal of this study was to model length of stay (LOS), potential opioid-related complications, and costs for patients reducing opioid use and adding intravenous acetaminophen (IV APAP) for management of postoperative pain.MethodsData for this study were de-identified inpatient encounters from The Advisory Board Company across 297 hospitals from 2012–2014, containing 2,238,433 encounters (IV APAP used in 12.1%). Encounters for adults ≥18 years of age admitted for cardiovascular, colorectal, general, obstetrics and gynecology, orthopedics, or spine surgery were included. The effects of reducing opioids and adding IV APAP were estimated using hierarchical statistical models. Costs were estimated by multiplying modeled reductions in LOS or complication rates by observed average volumes for medium-sized facilities, and by average cost per day or per complication (LOS: US$2383/day; complications: derived from observed charges).ResultsAcross all surgery types, LOS showed an average reduction of 18.5% (10.7–32.0%) for the modeled scenario of reducing opioids by one level (high to medium, medium to low, or low to none) and adding IV APAP, with an associated total LOS-related cost savings of $4.5 M. Modeled opioid-related complication rates showed similar improvements, averaging a reduction of 28.7% (5.4–44.0%) with associated cost savings of $0.2 M. In aggregate, costs decreased by an estimated $4.7 M for a medium-sized hospital. The study design demonstrates associations only and cannot establish causal relationships. The cost impact of LOS is modeled based on observed data.ConclusionsThis investigation indicates that reducing opioid use and including IV APAP for postoperative pain management has the potential to decrease LOS, opioid-related complication rates, and costs from a hospital perspective.FundingMallinckrodt Pharmaceuticals.
Several studies have indicated that fluoroquinolone use may be associated with an increased risk of aortic aneurysm or dissection (AAD). Because patients with AAD or Marfan syndrome are at increased risk for aortic rupture, we performed a retrospective cohort study to determine the prevalence of systemic fluoroquinolone exposure and predictors of fluoroquinolone use in these patients. Data were obtained from the advisory board billing and administrative database, which contained information on 22 million adult hospitalizations in the United States for the study period (2009 to 2015). International Classification of Diseases (9/10) and Current Procedural Terminology codes were used to identify patients who had AAD or Marfan syndrome or underwent aortic repair. We identified 136,789 admissions for AAD, which involved 99,818 unique patients, 20% of whom received fluoroquinolone during a hospital admission. Of the 7,045 patients with dissection, 18% were exposed to fluoroquinolone. Of the 27,876 AAD patients who underwent aortic repair, 19% received fluoroquinolone during a hospitalization before the repair. In the AAD patients, having a diagnosis of pneumonia or urinary tract infection increased the likelihood of receiving fluoroquinolone during admission by 46% and 40%, respectively (P < 0.001). Additionally, we identified 2,871 admissions for Marfan syndrome, which involved 1,872 patients, 14% of whom received fluoroquinolone during an admission. In these patients, pneumonia and urinary tract infections also increased the risk of fluoroquinolone exposure. If the deleterious effects of fluoroquinolone on aortic integrity are substantiated, reducing fluoroquinolone use in hospitalized patients with aortic disorders will become an urgent safety issue for antibiotic stewardship programs.
It is unclear whether concurrent pneumonia and chronic obstructive pulmonary disease (COPD) have a higher mortality than either condition alone. Further, it is unknown how this interaction changes over time. We explored the effect of pneumonia and COPD on inpatient, 30-day and overall mortality. We used a Veterans Health Affairs database to compare patients who were hospitalized for a COPD exacerbation without pneumonia (AECOPD), patients hospitalized for pneumonia without COPD (PNA) and patients hospitalized for pneumonia who had a concurrent diagnosis of COPD (PCOPD). We studied records of 15,065 patients with the following primary discharge diagnoses: (a) AECOPD cohort (7,154 individuals); (b) PNA cohort (4,433 individuals); and (c) PCOPD (3,478 individuals), comparing inpatient, 30-day and overall mortality in the three study cohorts. We observed a stepwise increase in inpatient mortality for AECOPD, PNA and PCOPD (4.8%, 9.5% and 13.2%, respectively). These differences persisted at 30 days post-discharge (AECOPD = 6.7%, PNA = 12.4% and PCOPD = 14.6%; p < 0.0001), but not throughout the study period (median follow-up: 37 months). With time, the death rate rose disproportionally in patients who had been admitted for AECOPD (AECOPD = 64.5%; PNA = 57.4% and PCOPD 66.2%; p < 0.001). In multivariate analysis, PCOPD predicted the greatest inpatient mortality (p < 0.001). The data showed a progression in inpatient and 30-day mortality from AECOPD to PNA to PCOPD. Pneumonia and COPD differentially affected inpatient, 30-day and overall mortality with pneumonia affecting predominantly inpatient and 30-day mortality while COPD affecting the overall mortality.
The aim of this study was to validate a novel technique that predicts stopping of disease-modifying anti-rheumatic drugs (DMARDs) and biologic agents (BA) from the Veterans Affairs (VA) database and compare infection risks of rheumatoid arthritis patients who stopped versus continued DMARDs/BA perioperatively. We identified 6,024 patients on 1 DMARD or BA in the perioperative period between 1999 and 2009. Time gap between medication stop date and the next start date predicted drug stoppage (X). Time gap between surgery date and stop date predicted whether stoppage was before surgery (Y). Chart review from Houston VA was used for validation. ROC analyses were performed on chart review data to obtain X and Y cutoffs. The primary endpoints were wound infections and other infections within 30 days. ROC analyses found X ≥ 33 (AUC = 0.954) and Y ≥ -11 (AUC = 0.846). Risk of postoperative infections was not different when stopping and continuing DMARDs/BA preoperatively. Stopping BA after surgery was associated with higher odds of postoperative wound (OR 14.15, 95 % CI 1.76-113.76) and general infection (OR 9.2, 95 % CI 1.99-42.60) compared to not stopping. Stopping DMARDs after surgery was associated with increased risk of postoperative general infection (OR 1.84, 95 % CI 1.07-3.16) compared with not stopping. There was positive association between stopping DMARDs after surgery and postoperative wound infection but failed to achieve statistical significance (OR 1.67, 95 % CI 0.96-2.91). There was no significant difference in postoperative infection risk when stopping or continuing DMARD/BA. Our new validated method can be utilized in the VA and other databases to predict drug stoppage.
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