Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates.

ObjectiveMedical billing data are an attractive source of secondary analysis because of their ease of use and potential to answer population-health questions with statistical power. Although these datasets have known susceptibilities to biases, the degree to which they can distort the assessment of quality measures such as colorectal cancer screening rates are not widely appreciated, nor are their causes and possible solutions.MethodsUsing a billing code database derived from our institution's electronic health records, we estimated the colorectal cancer screening rate of average-risk patients aged 50-74 years seen in primary care or gastroenterology clinic in 2016-2017. 200 records (150 unscreened, 50 screened) were sampled to quantify the accuracy against manual review.ResultsOut of 4611 patients, an analysis of billing data suggested a 61% screening rate, an estimate that matches the estimate by the Centers for Disease Control. Manual review revealed a positive predictive value of 96% (86%-100%), negative predictive value of 21% (15%-29%) and a corrected screening rate of 85% (81%-90%). Most false negatives occurred due to examinations performed outside the scope of the database-both within and outside of our institution-but 21% of false negatives fell within the database's scope. False positives occurred due to incomplete examinations and inadequate bowel preparation. Reasons for screening failure include ordered but incomplete examinations (48%), lack of or incorrect documentation by primary care (29%) including incorrect screening intervals (13%) and patients declining screening (13%).ConclusionsBilling databases are prone to substantial bias that may go undetected even in the presence of confirmatory external estimates. Caution is recommended when performing population-level inference from these data. We propose several solutions to improve the use of these data for the assessment of healthcare quality

Spontaneous Bacterial Peritonitis due to Lactobacillus paracasei in Cirrhosis

Lactobacillus species colonize the human gastrointestinal tract and are rarely pathogenic. We present a case involving a cirrhotic patient who presented with sepsis and was found to have peritoneal cultures demonstrating Lactobacillus as the sole pathogen concerning for spontaneous bacterial peritonitis. Treatment was achieved with high-dose penicillin and clindamycin but the patient developed hepatorenal syndrome and died from acute renal failure. Intra-abdominal Lactobacillus infections are typically seen in patients undergoing peritoneal dialysis or who have recently had bowel perforation. There are few case reports of spontaneous Lactobacillus peritonitis in patients with cirrhosis. Our case report addresses the challenges of Lactobacillus treatment and suggests antibiotic coverage of commensal organisms in patients who do not improve with standard management

Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates.

Medical billing data are an attractive source of secondary analysis because of their ease of use and potential to answer population-health questions with statistical power. Although these datasets have known susceptibilities to biases, the degree to which they can distort the assessment of quality measures such as colorectal cancer screening rates are not widely appreciated, nor are their causes and possible solutions. Using a billing code database derived from our institution's electronic health records, we estimated the colorectal cancer screening rate of average-risk patients aged 50-74 years seen in primary care or gastroenterology clinic in 2016-2017. 200 records (150 unscreened, 50 screened) were sampled to quantify the accuracy against manual review. Out of 4611 patients, an analysis of billing data suggested a 61% screening rate, an estimate that matches the estimate by the Centers for Disease Control. Manual review revealed a positive predictive value of 96% (86%-100%), negative predictive value of 21% (15%-29%) and a corrected screening rate of 85% (81%-90%). Most false negatives occurred due to examinations performed outside the scope of the database-both within and outside of our institution-but 21% of false negatives fell within the database's scope. False positives occurred due to incomplete examinations and inadequate bowel preparation. Reasons for screening failure include ordered but incomplete examinations (48%), lack of or incorrect documentation by primary care (29%) including incorrect screening intervals (13%) and patients declining screening (13%). Billing databases are prone to substantial bias that may go undetected even in the presence of confirmatory external estimates. Caution is recommended when performing population-level inference from these data. We propose several solutions to improve the use of these data for the assessment of healthcare quality

Sustained MEK inhibition abrogates myeloproliferative disease in Nf1 mutant mice.

Children with neurofibromatosis type 1 (NF1) are predisposed to juvenile myelomonocytic leukemia (JMML), an aggressive myeloproliferative neoplasm (MPN) that is refractory to conventional chemotherapy. Conditional inactivation of the Nf1 tumor suppressor in hematopoietic cells of mice causes a progressive MPN that accurately models JMML and chronic myelomonocytic leukemia (CMML). We characterized the effects of Nf1 loss on immature hematopoietic populations and investigated treatment with the MEK inhibitor PD0325901 (hereafter called 901). Somatic Nf1 inactivation resulted in a marked expansion of immature and lineage-committed myelo-erythroid progenitors and ineffective erythropoiesis. Treatment with 901 induced a durable drop in leukocyte counts, enhanced erythropoietic function, and markedly reduced spleen sizes in mice with MPN. MEK inhibition also restored a normal pattern of erythroid differentiation and greatly reduced extramedullary hematopoiesis. Remarkably, genetic analysis revealed the persistence of Nf1-deficient hematopoietic cells, indicating that MEK inhibition modulates the proliferation and differentiation of Nf1 mutant cells in vivo rather than eliminating them. These data provide a rationale for performing clinical trials of MEK inhibitors in patients with JMML and CMML

Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/170277/1/apt16563.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/170277/2/apt16563_am.pd

Hematopoiesis and leukemogenesis in mice expressing oncogenic NrasG12D from the endogenous locus

NRAS is frequently mutated in hematologic malignancies. We generated Mx1-Cre, Lox-STOP-Lox (LSL)-NrasG12D mice to comprehensively analyze the phenotypic, cellular, and biochemical consequences of endogenous oncogenic Nras expression in hematopoietic cells. Here we show that Mx1-Cre, LSL-NrasG12D mice develop an indolent myeloproliferative disorder but ultimately die of a diverse spectrum of hematologic cancers. Expressing mutant Nras in hematopoietic tissues alters the distribution of hematopoietic stem and progenitor cell populations, and Nras mutant progenitors show distinct responses to cytokine growth factors. Injecting Mx1-Cre, LSL-NrasG12D mice with the MOL4070LTR retrovirus causes acute myeloid leukemia that faithfully recapitulates many aspects of human NRAS-associated leukemias, including cooperation with deregulated Evi1 expression. The disease phenotype in Mx1-Cre, LSL-NrasG12D mice is attenuated compared with Mx1-Cre, LSL-KrasG12D mice, which die of aggressive myeloproliferative disorder by 4 months of age. We found that endogenous KrasG12D expression results in markedly elevated Ras protein expression and Ras-GTP levels in Mac1+ cells, whereas Mx1-Cre, LSL-NrasG12D mice show much lower Ras protein and Ras-GTP levels. Together, these studies establish a robust and tractable system for interrogating the differential properties of oncogenic Ras proteins in primary cells, for identifying candidate cooperating genes, and for testing novel therapeutic strategies