Neoplastic and non‐neoplastic complications of solid organ transplantation in patients with preexisting monoclonal gammopathy of undetermined significance

Monoclonal gammopathy of undetermined significance (MGUS) occurs in 3–7% of the elderly population, with higher prevalence in renal failure patients, and is associated with a 25‐fold increased lifetime risk for plasma cell myeloma (PCM), also known as multiple myeloma. Using the California State Inpatient, Emergency Department, and Ambulatory Surgery Databases components of the Healthcare Cost and Utilization Project (HCUP), we sought to determine whether patients with MGUS who undergo solid organ allograft (n = 22 062) are at increased adjusted relative risk (aRR) for hematologic malignancy and other complications. Among solid organ transplant patients, patients with preexisting MGUS had higher aRR of PCM (aRR 19.46; 95% CI 7.05, 53.73; p < 0.001), venous thromboembolic events (aRR 1.66; 95% CI 1.15, 2.41; p = 0.007), and infection (aRR 1.24; 95% CI 1.06, 1.45; p = 0.007). However, when comparing MGUS patients with and without solid organ transplant, there was decreased aRR for PCM with transplant (aRR 0.34; 95% CI 0.13, 0.88; p = 0.027), and increased venous thromboembolic events (aRR 2.33; 95% CI 1.58, 3.44; p < 0.001) and infectious risks (aRR 1.44; 95% CI 1.23, 1.70; p < 0.001). While MGUS increased the risk of PCM overall following solid organ transplantation, there was lower risk of PCM development compared to MGUS patients who did not receive a transplant. MGUS should not preclude solid organ transplant.     

Measuring anxiety after spinal cord injury: Development and psychometric characteristics of the SCI-QOL Anxiety item bank and linkage with GAD-7

ObjectiveTo develop a calibrated item bank and computer adaptive test to assess anxiety symptoms in individuals with spinal cord injury (SCI), transform scores to the Patient Reported Outcomes Measurement Information System (PROMIS) metric, and create a statistical linkage with the Generalized Anxiety Disorder (GAD)-7, a widely used anxiety measure.DesignGrounded-theory based qualitative item development methods; large-scale item calibration field testing; confirmatory factor analysis; graded response model item response theory analyses; statistical linking techniques to transform scores to a PROMIS metric; and linkage with the GAD-7.SettingFive SCI Model System centers and one Department of Veterans Affairs medical center in the United States.ParticipantsAdults with traumatic SCI.ResultsSeven hundred sixteen individuals with traumatic SCI completed 38 items assessing anxiety, 17 of which were PROMIS items. After 13 items (including 2 PROMIS items) were removed, factor analyses confirmed unidimensionality. Item response theory analyses were used to estimate slopes and thresholds for the final 25 items (15 from PROMIS). The observed Pearson correlation between the SCI-QOL Anxiety and GAD-7 scores was 0.67.ConclusionsThe SCI-QOL Anxiety item bank demonstrates excellent psychometric properties and is available as a computer adaptive test or short form for research and clinical applications. SCI-QOL Anxiety scores have been transformed to the PROMIS metric and we provide a method to link SCI-QOL Anxiety scores with those of the GAD-7.     

Factors associated with switching between low and super utilization in the surgical population: A study in medicare expenditure

BackgroundConsidered the top 5% of healthcare utilizers, “super-utilizers” are estimated to consume as much as 40–55% of all healthcare costs. The aim of this study was to identify factors associated with switching between low- and super-utilization.MethodsLow and super-utilizers who underwent abdominal aortic aneurysm (AAA) repair, coronary artery bypass graft (CABG), colectomy, total hip arthroplasty (THA), total knee arthroplasty (TKA), or lung resection between 2013 and 2015 were identified from 100% Medicare Inpatient Standard Analytic Files.ResultsAmong 1,049,160 patients, 788,488 (75.1%) and 21,700 (2.1%) patients were low- or super-utilizers prior to surgery, respectively. Among patients who were super-utilizers before surgery, 23% remained super-utilizers post-operatively, yet 26.8% patients became low-utilizers after surgery. Factors associated with moving from low-to super-utilization in the pre-versus post-operative setting included AAA repair, higher Charlson, and pulmonary failure. In contrast, pre-operative super-utilizers who became low-utilizers in the post-operative setting were less likely to be African American or have undergone CABG.ConclusionWhile 3% of pre-operative low-utilizers became super-utilizers likely due to complications, nearly one quarter of all pre-operative super-utilizers became low-utilizers following surgery suggesting success of the surgery to resolve underlying conditions associated with preoperative super-utilization.     

The impact of the affordable care act (ACA) Medicaid Expansion on access to minimally invasive surgical care

IntroductionThis study aims to evaluate the effect of the ACA Medicaid expansion on the utilization of minimally invasive (MIS) approaches to common general surgical procedures.MethodsWe queried five Healthcare Cost and Utilization Project State Inpatient Databases to evaluate rates of utilization and costs of MIS and open approaches pre and post Medicaid expansion.Results117,241 patients met the inclusion criteria. Following the enactment of the ACA, use of both laparoscopic gastric bypass (IRR 1.08; 95% CI: [1.02, 1.15]) and Nissen fundoplication (IRR 1.17; 95% CI [1.09, 1.26]) increased in Medicaid patients treated in expansion states than in those treated in non-expansion states. Simultaneously, the costs reported for self-pay patients increased in expansion states more than in non-expansion states (+$1669; 95% CI [$655, $2682]).ConclusionsMedicaid expansion was associated with increased rates of utilization of MIS approaches to several surgical procedures and a shifting of costs toward patients who were self-insured.     

A two-step approach for mining patient treatment pathways in administrative healthcare databases

Clustering electronic medical records allows the discovery of information on healthcare practices. Entries in such medical records are usually composed of a succession of diagnostics or therapeutic steps. The corresponding processes are complex and heterogeneous since they depend on medical knowledge integrating clinical guidelines, the physician's individual experience, and patient data and conditions. To analyze such data, we are first proposing to cluster medical visits, consultations, and hospital stays into homogeneous groups, and then to construct higher-level patient treatment pathways over these different groups. These pathways are then also clustered to distill typical pathways, enabling interpretation of clusters by experts. This approach is evaluated on a real-world administrative database of elderly people in Québec suffering from heart failures.