Lois Lamerato

Henry Ford Health System, Detroit, Michigan, United States

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Publications (103)487.79 Total impact

  • Lisa H Gren · Lois E Lamerato · Patrick Wright · Pamela M Marcus
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    ABSTRACT: It is imperative to measure the degree of contamination throughout the course of randomized controlled trials, as contamination, the receipt of the intervention arm regimen by control arm participants, can affect trial power. In the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, contamination was estimated through use of the self-administered Health Status Questionnaire (HSQ) annually to a randomly-selected subset of control arm participants. We examined agreement of self-report of chest x-ray on the HSQ with clinic records at one of the 10 PLCO screening centers (Henry Ford Health System, or HFHS). We focus on HFHS participants covered by the Health Alliance Plan (HAP), a managed health care insurance plan owned and operated by HFHS, because population claims for care received both at HFHS and other facilities are available in HFHS databases. We examined agreement for the six years prior to HSQ completion, with HFHS clinic records considered to be the gold standard. For those who had complete HAP coverage during the six years, percent agreement was 0.69, sensitivity was 0.84, and positive predictive value was 0.76. Specificity and negative predicted value were low, however (0.28 and 0.38, respectively), and Cohen's kappa was 0.13. For groups with incomplete or no HAP coverage, and when timing of exam was considered, performance measures typically became lower, in some instances below 0.20. These data suggest that self-report of chest x-ray screening may not be accurate, although high prevalence of chest x-ray may make performance measures less interpretable.
    Reviews on Recent Clinical Trials 07/2015; · 1.07 Impact Factor
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    ABSTRACT: There is a paucity of published data on the prevalence of chronic pain conditions within large, integrated healthcare organizations in the U.S.A. Such data are essential to inform the development of appropriate treatment programs. Twenty-five selected pain conditions were used to identify patients receiving care within the Henry Ford Health System (HFHS) who were enrolled in the Health Alliance Plan (HAP), a subsidiary of HFHS. Patients aged ≥ 18 years, enrolled in HAP in 2010, and having ≥ 2 encounters, ≥ 30 days apart, with an ICD-9-CM diagnosis code for a pain condition of interest during 2010 were counted. Variables included in the study were as follows: age, gender, body mass index (BMI), and Charlson comorbidity conditions and index score. Altogether, 14,784 persons (11.6% of the total adult population) met the criteria for having a chronic pain condition. Overall, the study population was 64.4% female and had mean age (SD) of 61.2 (15.6) years and mean BMI of 31.4 (7.2) kg/m(2) . Musculoskeletal pain conditions were the most common diagnoses, comprising 75.4% of all pain diagnoses. Diabetes and chronic pulmonary disease were the most common medical comorbidities. In this comprehensive analysis of 2 years of data from a large, vertically integrated metropolitan health system, chronic pain was identified in 12% of adult patients. Approximately 75% of chronic pain conditions were musculoskeletal. The triad of age ≥ 60 years, BMI ≥ 30, and female sex were the most salient demographic characteristics of patients with chronic pain conditions. These diagnostic and demographic data may be used to inform treatment program development. © 2015 World Institute of Pain.
    Pain Practice 07/2015; DOI:10.1111/papr.12334 · 2.36 Impact Factor
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    ABSTRACT: The severity of liver disease in the hepatitis C virus (HCV)-infected population in the United States remains uncertain. We estimated the prevalence of cirrhosis in adults with chronic hepatitis C (CHC) using multiple parameters including liver biopsy, diagnosis/procedure codes, and a biomarker. Patients enrolled in the Chronic Hepatitis Cohort Study (CHeCS) who received health services during 2006-2010 were included. Cirrhosis was identified through liver biopsy reports, diagnosis/procedure codes for cirrhosis or hepatic decompensation, and Fibrosis-4 (FIB-4) scores ≥5.88. Demographic and clinical characteristics associated with cirrhosis were identified through multivariable logistic modeling. Among 9,783 patients, 2,788 (28.5%) were cirrhotic by at least one method. Biopsy identified cirrhosis in only 661 (7%) patients, whereas FIB-4 scores and diagnosis/procedure codes for cirrhosis and hepatic decompensation identified cirrhosis in 2,194 (22%), 557 (6%), and 482 (5%) patients, respectively. Among 661 patients with biopsy-confirmed cirrhosis, only 356 (54%) had an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code for cirrhosis. Older age, male gender, Asian race, Hispanic ethnicity, genotype 3 infection, HIV coinfection, diabetes, history of antiviral therapy, and history of alcohol abuse were independently associated with higher odds of cirrhosis (all, P<0.05). Conversely, private health insurance coverage, black race, and HCV genotype 2 were associated with lower odds of cirrhosis. A high proportion of patients with biopsy-confirmed cirrhosis are not assigned ICD-9 codes for cirrhosis. Consequently, ICD-9 codes may not be reliable as the sole indicator of the prevalence of cirrhosis in cohort studies. Use of additional parameters suggests a fourfold higher prevalence of cirrhosis than is revealed by biopsy alone. These findings suggest that cirrhosis in CHC patients may be significantly underdocumented and underdiagnosed.Am J Gastroenterol advance online publication, 28 July 2015; doi:10.1038/ajg.2015.203.
    The American Journal of Gastroenterology 07/2015; 110(8). DOI:10.1038/ajg.2015.203 · 10.76 Impact Factor
  • Cancer Research 05/2015; 75(9 Supplement):P1-11-09-P1-11-09. DOI:10.1158/1538-7445.SABCS14-P1-11-09 · 9.33 Impact Factor
  • Journal of Hepatology 04/2015; 62:S622. DOI:10.1016/S0168-8278(15)30981-8 · 11.34 Impact Factor
  • Journal of Hepatology 04/2015; 62:S598-S599. DOI:10.1016/S0168-8278(15)30933-8 · 11.34 Impact Factor
  • Journal of Hepatology 04/2015; 62:S618-S619. DOI:10.1016/S0168-8278(15)30973-9 · 11.34 Impact Factor
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    ABSTRACT: During the 2013-14 influenza season, we analyzed data from 6,004 outpatients aged ≥6 months with acute respiratory illness (ARI). Among the 2,786 ARI patients at higher risk for influenza complications, 835 (30%) presented to care ≤2 days from symptom onset; among those, 126 (15%) were prescribed an antiviral medication. Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.
    Clinical Infectious Diseases 02/2015; 60(11). DOI:10.1093/cid/civ146 · 8.89 Impact Factor
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    ABSTRACT: Chronic hepatitis C virus (HCV) infection causes cirrhosis and hepatocellular carcinoma but is also etiologically linked to several extrahepatic medical conditions including renal disorders. HCV is also associated with extrahepatic malignancies and may be oncogenic. Whether HCV confers an increased risk of renal cell carcinoma (RCC) remains controversial. Prospectively determine whether chronic HCV is associated with an increased risk of RCC. At an integrated medical center in Detroit, Michigan, adult patients with suspected RCC or newly diagnosed colon cancer (controls) were screened for hepatitis C antibody (HCAB) and HCV RNA. Renal or colon cancers were confirmed histologically. The proportion of patients with HCAB and HCV RNA in each group was compared, and risk factors for renal cell carcinoma were determined by multivariable logistic regression analysis. RCC patients had a higher rate of HCAB positivity (11/140, 8 %) than colon cancer patients (1/100, 1 %) (p < 0.01). Of the HCAB-positive patients, 9/11 RCC and 0/1 controls had detectable HCV RNA. HCV RNA positivity was a significant risk factor for RCC (OR 24.20; 95 % CL 2.4, >999.9; p = 0.043). Additionally, viremic RCC patients were significantly younger than RCC patients who were HCV RNA negative (p = 0.013). Patients with chronic HCV are at heightened risk of RCC.
    Digestive Diseases and Sciences 01/2015; 60(6). DOI:10.1007/s10620-015-3521-3 · 2.61 Impact Factor
  • International journal of radiation oncology, biology, physics 09/2014; 90(1):S650-S651. DOI:10.1016/j.ijrobp.2014.05.1924 · 4.26 Impact Factor
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    ABSTRACT: Background and aims: The Chronic Hepatitis Cohort Study (CHeCS) is a longitudinal observational study of risks and benefits of treatments and care in patients with chronic hepatitis B (HBV) and C (HCV) infection from four US health systems. We hypothesized that comparative effectiveness methods-including a centralized data management system and an adaptive approach for cohort selection-would improve cohort selection while controlling data quality and reducing the cost. Methods: Cohort selection and data collection were performed primarily via the electronic health record (EHR); cases were confirmed via chart abstraction. Two parallel sources fed data to a centralized data management system: direct EHR data collection with common data elements, and chart abstraction via electronic data capture. An adaptive Classification and Regression Tree (CART) identified a set of electronic variables to improve case ascertainment accuracy. Results: Over 16 million patient records were collected on 23 case report forms in 2006-2008. The vast majority of data (99.2%) were collected electronically from EHR; only 0.8% was collected via chart abstraction. Initial electronic criteria identified 12,144 chronic hepatitis patients; 10,098 were confirmed via chart abstraction with positive predictive values (PPV) 79 and 83% for HBV and HCV, respectively. CART-optimized models significantly increased PPV to 88 for HBV and 95% for HCV. Conclusions: CHeCS is a comparative effectiveness research project that leverages electronic centralized data collection and adaptive cohort identification approaches to enhance study efficiency. The adaptive CART model significantly improved the positive predictive value of cohort identification methods.
    Digestive Diseases and Sciences 07/2014; 59(12). DOI:10.1007/s10620-014-3272-6 · 2.61 Impact Factor
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    ABSTRACT: Objective: Identify predictors of non-compliance with first round screening exams in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. Method: The PLCO was conducted from 1993 to 2011 at 10 US institutions. A total of 154,897 healthy men and women ages 55-74 years were randomized. Intervention arm participants were invited to receive gender-appropriate screening exams for prostate, lung, colorectal and ovarian cancer. Using intervention-arm data (73,036 participants), non-compliance percentages for 13 covariates were calculated, as were unadjusted and adjusted odds ratios (ORs), and 95% confidence intervals. Covariates included demographic factors as well as factors specific to PLCO (e.g., method of consent, distance from screening center). Results: The rate of non-compliance was 11% overall but varied by screening center. Significant associations were observed for most covariates but indicated modest increases or decreases in odds. An exception was the use of a two-step consent process (consented intervention arm participants for exams after randomization) relative to a one-step process (consented all participants prior to randomization) (OR: 2.2, 95% CI: 2.0-2.5). Non-compliance percentages increased with further distance from screening centers, but ORs were not significantly different from 1. Conclusions: Many factors modestly influenced compliance. Consent process was the strongest predictor of compliance.
    Preventive Medicine 07/2014; 67. DOI:10.1016/j.ypmed.2014.07.013 · 3.09 Impact Factor
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    ABSTRACT: One year of trastuzumab therapy is recommended for women with HER2-positive breast cancer ≥1.0 cm in size to increase survival and is considered for women with tumors 0.5-0.9 cm in size. We analyzed compliance with trastuzumab among women with HER2-positive breast cancer in a prospective cohort study. Of 1145 recruited patients with breast cancer, 152 were HER2-positive (13.2 %), of whom 126 had tumors ≥1.0 cm; 110/126 (87.3 %) of these initiated trastuzumab. Non-receipt was associated with older age, better prognosis tumors, and with non-receipt of adjuvant chemotherapy. Of the 110 who initiated treatment, 18 (15 %) did not complete treatment, 15 (83 %) of them because of cardiotoxicity. Of 20 women with tumors 0.5-0.9 cm, 5 (25 %) initiated trastuzumab. Compliance with trastuzumab was very high among those with HER2-positive breast cancer, as was the completion of the recommended therapy.
    Breast Cancer 06/2014; 21(6). DOI:10.1007/s12282-014-0543-1 · 1.59 Impact Factor
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    ABSTRACT: Objectives:: The purpose of this study was to analyze the prognostic significance of sociodemographic factors on biochemical control (bNED) and overall survival (OS) in patients with prostate cancer. Methods:: Prostate cancer patients treated with definitive external beam radiation therapy (EBRT)±hormone therapy from 1997 to 2006 were analyzed in this IRB-approved study. Patient demographics, treatment (Tx), and clinical outcome were obtained from electronic medical records. Median household income (mHHI) at the census block group level was obtained from the 2000 census data. Data on disease and Tx parameters included Gleason score, pre-Tx prostate-specific antigen (PSA), T stage, year of Tx, EBRT dose, and use of hormone therapy. Patients were categorized as having low-risk, intermediate-risk, or high-risk disease. Sociodemographic factors included age, race, marital status, and mHHI. Biochemical failure was defined as nadir PSA+2 ng/mL. OS was based on death from any cause. Results:: A total of 788 consecutive patients were studied with a median follow-up of 7 years (range, 0.4 to 15 y). African Americans comprised 48% of the patients, whereas 46% of patients were white and 6% were other races. Whites had an average mHHI of $60,190 compared with $36,917 for African Americans (P<0.001). After multivariable modeling, only radiation dose was predictive for bNED (P=0.004) or OS (P=0.008). No sociodemographic factors were predictive for either outcome. Higher radiation dose predicted for better biochemical control and OS. Conclusions:: This analysis suggests that sociodemographic factors are not important prognostic factors in determining outcome after EBRT for prostate cancer.
    American Journal of Clinical Oncology 05/2014; DOI:10.1097/COC.0000000000000093 · 3.06 Impact Factor
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    ABSTRACT: Objectives: To estimate all-cause healthcare resource utilization and costs among chronic pain patients within an integrated healthcare delivery system in the United States. Methods: Electronic medical records and health claims data from the Henry Ford Health System were used to determine healthcare resource utilization and costs for patients with 24 chronic pain conditions. Patients were identified by ≥ 2 ICD-9-CM codes ≥ 30 days apart from January to December, 2010; the first ICD-9 code was the index event. Continuous coverage for 12 months pre- and postindex was required. All-cause direct medical costs were determined from billing data. Results: A total of 12,165 patients were identified for the analysis. After pharmacy, the most used resource was outpatient visits, with a mean of 18.8 (SD 13.2) visits per patient for the postindex period; specialty visits accounted for 59.0% of outpatient visits. Imaging was utilized with a mean of 5.2 (SD 5.5) discrete tests per patient, and opioids were the most commonly prescribed medication (38.7%). Annual direct total costs for all conditions were $386 million ($31,692 per patient; a 40% increase from the pre-index). Pharmacy costs comprised 14.3% of total costs, and outpatient visits were the primary cost driver. Conclusions: Chronic pain conditions impose a substantial burden on the healthcare system, with musculoskeletal conditions associated with the highest overall costs. Costs appeared to be primarily related to use of outpatient services. This type of research supports integrated delivery systems as a source for assessing opportunities to improve patient outcomes and lower the costs for chronic pain patients.
    Value in Health 05/2014; 17(3):A131-A132. DOI:10.1016/j.jval.2014.03.763 · 3.28 Impact Factor
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    ABSTRACT: Background. The number of deaths in hepatitis C virus (HCV)-infected persons recorded on US death certificates has been increasing, but actual rates and causes of death in these individuals have not been well elucidated.Methods. Disease-specific, liver-related, and non-liver-related mortality data for HCV-infected patients in an observational cohort study, the Chronic Hepatitis Cohort Study (CHeCS) at 4 US healthcare systems, were compared with multiple cause of death (MCOD) data in 12 million death certificates in 2006-2010. Premortem diagnoses, liver biopsies, and FIB-4 scores (a noninvasive measure of liver damage) were examined.Results. Of 2 143 369 adult patients seen at CHeCS sites in 2006-2010, 11 703 (0.5%) had diagnosed chronic HCV infection, and 1590 (14%) died. The majority of CHeCS decedents were born from 1945 to 1965 (75%), white (50%), and male (68%); mean age of death was 59 years, 15 years younger than MCOD deaths. The age-adjusted mortality rate for liver disease in CHeCS was 12 times higher than the MCOD rate. Before death, 63% of decedents had medical record evidence of chronic liver disease, 76% had elevated FIB-4 scores, and, among those biopsied, 70% had moderate or worse liver fibrosis. However, only 19% of all CHeCS decedents and only 30% of those with recorded liver disease had HCV listed on their death certificates.Conclusions. HCV infection is greatly underdocumented on death certificates. The 16 622 persons with HCV listed in 2010 may represent only one-fifth of about 80 000 HCV-infected persons dying that year, at least two-thirds of whom (53 000 patients) would have had premortem indications of chronic liver disease. © 2014 Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.
    Clinical Infectious Diseases 04/2014; 58(8):1055-1061. DOI:10.1093/cid/ciu077 · 8.89 Impact Factor
  • H.C. Gonzalez · L. Lamerato · C.G. Rogers · S.C. Gordon
    Journal of Hepatology 04/2014; 60(1):S320. DOI:10.1016/S0168-8278(14)60909-0 · 11.34 Impact Factor
  • Journal of Hepatology 04/2014; 60(1):S419-S420. DOI:10.1016/S0168-8278(14)61194-6 · 11.34 Impact Factor
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    ABSTRACT: African American (AA) women are known to have poorer breast cancer survival than whites, and the differences may be related to underlying disparities in their clinical presentation or access to care. This study evaluated the relationship between demographic, treatment, and socioeconomic factors and breast cancer survival among women in southeast Michigan. The population included 2387 women (34% AA) with American Joint Committee on Cancer stage I to III breast cancer who were treated at the Henry Ford Health System (HFHS) from 1996 through 2005. Linked data sets from the HFHS, the Metropolitan Detroit Cancer Surveillance System, and the US Census Bureau were used to obtain demographic and clinical information. Comorbidities were classified with the modified Charlson comorbidity index (CCI). Economic deprivation was categorized with a census tract-based deprivation index (DI), which was stratified into 5 quintiles of increasing socioeconomic disadvantage. Compared with whites, AA women were significantly more likely to have larger, hormone receptor-negative tumors and more comorbidities and to reside in an economically deprived area. In an unadjusted analysis, AAs had a significantly higher risk of death (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.16-1.59); however, after adjustments for clinical (age, stage, hormone receptor, and CCI) and societal factors (DI), the effect of race was not significant (HR, 1.13 [95% CI, 0.96-1.34] , and HR, 0.97 [0.80-1.19] respectively). Racial differences in breast cancer survival can be explained by clinical and socioeconomic factors. Nonetheless, AA women with breast cancer remain disproportionately affected by unfavorable tumor characteristics and economic deprivation, which likely contribute to their increased overall mortality. Cancer 2015. © 2015 American Cancer Society. © 2015 American Cancer Society.
    Cancer Research 03/2014; 73(24 Supplement):P5-12-03-P5-12-03. DOI:10.1158/0008-5472.SABCS13-P5-12-03 · 9.33 Impact Factor
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    ABSTRACT: We evaluated whether prior infection with the hepatitis B virus (HBV) influences the development of pancreatic cancer or hepatocellular carcinoma (HCC). Prior infection with HBV may predispose patients to developing pancreatic cancer or HCC. We conducted a retrospective cohort study using administrative data from an integrated health care system. We identified all patients who had HBV testing over a 13-year period. These patients were divided into 1 of 3 cohorts based on HBV status: negative infection (n=28,719), previous exposure (n=5141), or active infection (n=404). Pancreatic cancer and HCC data were obtained from pathology reports in the health system's cancer registry. In a multivariable model, age [hazards ratio (HR), 1.08; confidence interval (CI), 1.06-1.09; P<0.001)] and presence of diabetes (HR, 1.88; CI, 1.27-2.80; P=0.002) were identified to have significant influence on pancreatic cancer development, whereas previous HBV exposure did not have a significant influence (HR, 1.41; CI, 0.88-2.27; P=0.16). In a separate multivariable model, male sex (HR, 2.05; CI, 1.35-3.11; P<0.001), age (HR, 1.08; CI, 1.06-1.09; P<0.001), being hepatitis C positive (HR, 5.40; CI, 3.51-8.33; P<0.001), and presence of cirrhosis (HR, 27.84; CI, 17.43-44.46, P<0.001) were all significant predictors of HCC. However, previous HBV exposure was not associated with HCC development (HR, 1.03; CI, 0.68-1.56; P=0.88). Data from this study indicate that previous HBV exposure is not a risk factor for the development of either pancreatic cancer or HCC.
    Journal of clinical gastroenterology 03/2014; 48(8). DOI:10.1097/MCG.0000000000000111 · 3.50 Impact Factor

Publication Stats

1k Citations
487.79 Total Impact Points


  • 2001–2015
    • Henry Ford Health System
      • Department of Public Health Sciences
      Detroit, Michigan, United States
  • 2013
    • University of Michigan
      Ann Arbor, Michigan, United States
  • 2012
    • Columbia University
      • Department of Sociomedical Sciences
      New York City, NY, United States
  • 2001–2011
    • Henry Ford Hospital
      Detroit, Michigan, United States
  • 2010
    • Tulane University
      • Department of Medicine
      New Orleans, LA, United States