Introduction:We utilized an eConsult program to assess the appropriateness and completeness of hematuria evaluation among one of the largest Medicaid networks in California, the Inland Empire Health Plan.Methods:We retrospectively reviewed all hematuria consults from May 2018 to August 2020. Patient demographic and clinical data were extracted from the electronic health record and dialogues between primary care provider and specialist including laboratory results and imaging. We calculated the proportions of imaging types and the outcome of the eConsults among patients. χ2 and Fisher’s exact tests were used for statistical analysis.Results:A total of 106 hematuria eConsults were submitted. Primary care provider evaluation for risk factors rates were low: 37% gross hematuria, 29% voiding symptoms/dysuria, 49% other urothelial risk factors or benign etiology, and 63% smoking. Only 50% of all referrals were deemed appropriate based on a history of gross hematuria or ≥3 red blood cells/high-power field on urinalysis without evidence of infection or contamination. Thirty-one percent of patients received a renal ultrasound, 2.8% received CT urography, 5.7% received other cross-sectional imaging, and 64% received no imaging. By the conclusion of the eConsult only 54% of patients were referred for a face-to-face visit.Conclusions:The use of eConsults allows for urological access in the safety-net population and presents a means to assess the urological needs in the community. Our findings suggest eConsults represent an opportunity to reduce the morbidity and mortality associated with hematuria among safety-net patients who are otherwise less likely to receive a proper evaluation.

The interior of cells is a highly complex medium, containing numerous organelles, a matrix of different fibers and a viscous, aqueous fluid of proteins and small molecules. The interior of cells is also a highly dynamic medium, in which many components move, either by active transport or passive diffusion. The mobility and localization of proteins inside cells can provide important insights into protein function and also general cellular properties, such as viscosity. Neoplastic transformation affects numerous cellular properties, and our goal was to investigate the diffusional and binding behavior of the important mismatch repair (MMR) protein MSH2 in live human cells at various stages of neoplastic transformation. Toward this end, noncancerous, immortal, tumorigenic, and metastatic mammary epithelial cells were transfected with EGFP and EGFP-tagged MSH2. MSH2 forms two MMR proteins (MutSα and MutSβ) and we assume MSH2 is in the complex MutSα, though our results are similar in either case. Unlike the MutS complexes that bind to nuclear DNA, EGFP diffuses freely. EGFP and MutSα-EGFP diffusion coefficients were determined in the cytoplasm and nucleus of each cell type using fluorescence recovery after photobleaching. Diffusion coefficients were 14–24 μm2/s for EGFP and 3–7 μm2/s for MutSα-EGFP. EGFP diffusion increased in going from noncancerous to immortal cells, indicating a decrease in viscosity, with smaller changes in subsequent stages. MutSα produces an effective diffusion coefficient that, coupled with the free EGFP diffusion measurements, can be used to extract a pure diffusion coefficient and a pseudo-equilibrium constant K*. The MutSα nuclear K* increased sixfold in the first stage of cancer and then decreased in the more advanced stages. The ratio of nuclear to cytoplasmic K*for MutSα increased almost two orders of magnitude in going from noncancerous to immortal cells, suggesting that this quantity may be a sensitive metric for recognizing the onset of cancer.

No abstract

No abstract

frequently (23% vs 22%, p <0.01) and dealt with more complex patients evidenced by higher Hierarchical Condition Category (HCC) risk adjustment scores (1.50 vs 1.40, p <0.01). Number of Medicare beneficiaries did not significantly differ between OCM and non-OCM urologists (504 vs 518, p[0.50). However, OCM urologists received higher median Medicare payments per beneficiary ($314vs $281, p <0.01) and per service ($60 vs $50, p <0.01). OCM urologists provided fewer services than non-OCM urologists (2534 vs 3101, p[0.06) (Table 1).CONCLUSIONS: Only small number of urologists are participating in the OCM. New York had above average participation of urologists in OCM. OCM urologists were more likely to provide care to patients with the diagnosis of cancer and higher HCC scores. They received higher payment per services provided and beneficiaries seen.