Marc A. Kowalkowski

Nonalcoholic fatty liver disease is underrecognized in the primary care setting.

OBJECTIVES:The prevalence and disease burden of nonalcoholic fatty liver disease (NAFLD) are increasing. Nonetheless, little is known about the processes related to identification, diagnosis, and referral of patients with NAFLD in routine clinical care.METHODS:Using automated data, we isolated a random sample of patients in a Veterans Administration facility who had ≥2 alanine transaminase (ALT) values >40 IU/ml >6 months apart in the absence of any positive results for hepatitis C RNA, hepatitis B surface antigen, or screens for excess alcohol use. We conducted a structured medical record review to confirm NAFLD and abstracted data from the primary care providers’ notes for (i) recognition of abnormal ALT levels, (ii) mention of NAFLD as a possible diagnosis, (iii) recommendations for diet or exercise, and (d) referral to a specialist for further NAFLD evaluation. Using a multilevel logistic regression model, we identified patient demographic, clinical, comorbidity, and health-care utilization factors associated with recognition and receipt of early NAFLD care.RESULTS:Of 251 patients identified with NAFLD by our methods, 99 (39.4%) had documentation in medical record notes of abnormal ALT, 54 (21.5%) had NAFLD mentioned as a possible diagnosis, 37 (14.7%) were counseled regarding diet and exercise, and 26 (10.4%) were referred to a specialist. Only the magnitude of ALT elevation (adjusted odds ratio (OR) for ALT >80 IU/ml vs. <80 IU/ml=4.4, 95% confidence interval (CI)=2.65–7.30) and proportion of elevation (adjusted OR for >50% vs. <50% of ALT values >40 IU/ml=1.8, 95% CI=1.03–3.14) were associated with receiving specified NAFLD care. Only 3% of patients at a high risk of fibrosis (NAFLD fibrosis score >0.675) were referred to specialists.CONCLUSIONS:Most patients in care who may have NAFLD are not being recognized and evaluated for this condition. Our data suggest that providers may be using an incorrect heuristic in delivering NAFLD care by concentrating on those with high ALT levels.

Perception of cancer and inconsistency in medical information are associated with decisional conflict: a pilot study of men with prostate cancer who undergo active surveillance.

Study Type – Therapy (case series)

Formal selection of measures for a composite index of NICU quality of care: Baby-MONITOR

Objective:To systematically rate measures of care quality for very low birth weight infants for inclusion into Baby-MONITOR, a composite indicator of quality.Study Design:Modified Delphi expert panelist process including electronic surveys and telephone conferences. Panelists considered 28 standard neonatal intensive care unit (NICU) quality measures and rated each on a 9-point scale taking into account pre-defined measure characteristics. In addition, panelists grouped measures into six domains of quality. We selected measures by testing for rater agreement using an accepted method.Result:Of 28 measures considered, 13 had median ratings in the high range (7 to 9). Of these, 9 met the criteria for inclusion in the composite: antenatal steroids (median (interquartile range)) 9(0), timely retinopathy of prematurity exam 9(0), late onset sepsis 9(1), hypothermia on admission 8(1), pneumothorax 8(2), growth velocity 8(2), oxygen at 36 weeks postmenstrual age 7(2), any human milk feeding at discharge 7(2) and in-hospital mortality 7(2). Among the measures selected for the composite, the domains of quality most frequently represented included effectiveness (40%) and safety (30%).Conclusion:A panel of experts selected 9 of 28 routinely reported quality measures for inclusion in a composite indicator. Panelists also set an agenda for future research to close knowledge gaps for quality measures not selected for the Baby-MONITOR.

The Effect of HIV Viral Control on the Incidence of Hepatocellular Carcinoma in Veterans with Hepatitis C and HIV Coinfection

Background:HIV increases the risk of progression to hepatic fibrosis and cirrhosis among individuals coinfected with hepatitis C virus (HCV). However, the impact of HIV-related immune suppression on the risk of hepatocellular carcinoma (HCC) is currently unknown. Methods:We used the Veterans Affairs HIV Clinical Case Registry to identify patients with HIV infection between 1985 and 2010 and HCV coinfection (positive HCV RNA or genotype test) between 1995 and 2010. The outcome was incident HCC as indicated by International Classification of Diseases, 9th revision, Clinical Modification code (87% positive predictive value). Patients with HCV monoinfection were included as a comparison group for HCC incidence. Age-adjusted HCC incidence rates were calculated for the coinfected cohort and HCV monoinfected cohort. Cox proportional hazard models were used to determine hazard ratios (HRs) and 95% confidence intervals (CIs) for each risk factor on the time to HCC diagnosis in the coinfected cohort. Results:There were 66,991 veterans with HIV; 8563 had at least 1 positive HCV RNA test, and 234 of these developed HCC. The overall age-adjusted incidence rate of HCC in monoinfected patients was 2.99/1000 person-years vs. 4.44/1000 person-years in coinfected patients. In patients with coinfection, presence of cirrhosis (HR = 4.88; 95% CI: 3.30 to 7.21), HIV diagnosis >2002 (HR = 4.65; 95% CI: 2.70 to 8.02), and a recent low CD4+ cell count <200 (HR = 1.71; 95% CI: 1.20 to 2.45) were associated with an increased risk for HCC. Conclusions:The risk of HCC in HCV- and HIV-coinfected veteran men was higher than HCV monoinfection. Diagnosis of cirrhosis and low recent CD4+ cell count were the most important predictors of developing HCC in this group.

Baby-MONITOR: A Composite Indicator of NICU Quality

BACKGROUND AND OBJECTIVES: NICUs vary in the quality of care delivered to very low birth weight (VLBW) infants. NICU performance on 1 measure of quality only modestly predicts performance on others. Composite measurement of quality of care delivery may provide a more comprehensive assessment of quality. The objective of our study was to develop a robust composite indicator of quality of NICU care provided to VLBW infants that accurately discriminates performance among NICUs. METHODS: We developed a composite indicator, Baby-MONITOR, based on 9 measures of quality chosen by a panel of experts. Measures were standardized, equally weighted, and averaged. We used the California Perinatal Quality Care Collaborative database to perform across-sectional analysis of care given to VLBW infants between 2004 and 2010. Performance on the Baby-MONITOR is not an absolute marker of quality but indicates overall performance relative to that of the other NICUs. We used sensitivity analyses to assess the robustness of the composite indicator, by varying assumptions and methods. RESULTS: Our sample included 9023 VLBW infants in 22 California regional NICUs. We found significant variations within and between NICUs on measured components of the Baby-MONITOR. Risk-adjusted composite scores discriminated performance among this sample of NICUs. Sensitivity analysis that included different approaches to normalization, weighting, and aggregation of individual measures showed the Baby-MONITOR to be robust (r = 0.89–0.99). CONCLUSIONS: The Baby-MONITOR may be a useful tool to comprehensively assess the quality of care delivered by NICUs.

Trends in Resource Utilization for Hospitalized Children With Skin and Soft Tissue Infections

OBJECTIVE: To describe trends in national resource utilization for pediatric skin and soft tissue infection (SSTI) hospitalizations. METHODS: This was a cross-sectional analysis of hospital discharges from 1997 to 2009 within the Healthcare Cost and Utilization Project Kids’ Inpatient Database for children with isolated SSTIs. Outcomes examined included patient and hospital characteristics, number of hospitalizations, and resource utilization including length of stay (LOS), hospital charges, and performance of incision and drainage (I&D). Trends in resource utilization were assessed by using linear regression in a merged data set with survey year as the primary independent variable. Multivariate logistic regression was conducted for 2009 data to assess factors associated with increased I&D. RESULTS: The weighted proportion of SSTI hospitalizations among all hospitalizations doubled (0.46% vs 1.01%) from 1997 to 2009. During the same period, patient demographic trends included a shift to increased hospitalizations in infant and preschool-age groups as well as publicly insured children. Mean LOS decreased from 3.11 to 2.71 days. Increased resource utilization included changes in mean charges from

The relationship of reported neighborhood conditions with child mental health.

6722 to

Effect of Immune Reconstitution on the Incidence of HIV-Related Hodgkin Lymphoma

11 534 per hospitalization and a twofold increase in I&D (21% to 44%). Factors associated with I&D include young age, African American race, female gender, publicly or uninsured children, and southern region of the United States. CONCLUSIONS: SSTI is responsible for an emerging increase in health services utilization. Additional study is warranted to identify interventions that may effectively address this public health burden.

The medical home experience among children with sickle cell disease

OBJECTIVE Although in many studies authors have documented the relationship between neighborhood socioeconomic status and child mental health, few have examined the association between neighborhood conditions and mental health disorders. The objective of this study was to determine whether parent-reported neighborhood conditions are associated with common child mental health disorders. METHODS We analyzed data on children ages 6 to 17 (N = 64,076) collected through the 2007 National Survey of Childrens Health. Primary outcome variables were a child being reported to have a diagnosis of (1) anxiety and/or depression and (2) attention-deficit-hyperactivity disorder (ADHD) and/or disruptive behavior. Main independent variables were parent-reported neighborhood amenities (eg, recreation center), poor physical characteristics (eg, dilapidated housing), social support/trust, neighborhood safety, and school safety. Multivariate logistic regression analyses were conducted to examine associations between neighborhood conditions and (1) anxiety/depression and (2) ADHD/disruptive behavior. RESULTS Children living in a neighborhood with 3 poor physical characteristics had greater odds of anxiety/depression (adjusted odds ratio [AOR] 1.58, 95% confidence interval [95% CI] 1.01-2.46) and ADHD/disruptive behavior (AOR 1.44, 95% CI 1.04-1.99) compared with children living in a neighborhood with no poor physical characteristics. Children of parents who reported living in a neighborhood with low social support/trust had greater odds of depression/anxiety (AOR 1.71, 95% CI 1.28-2.30) and ADHD/disruptive behavior (AOR 1.47, 95% CI 1.19-1.81) than children living in a neighborhood with greater social support/trust. CONCLUSIONS Parent perception of neighborhood social support/trust and physical characteristics may be important to assess in clinical settings and should be examined in future study of child mental health burden.

Association of Care in a Medical Home and Health Care Utilization Among Children with Sickle Cell Disease

Background The incidence of Hodgkin lymphoma (HL) has increased since introduction of combined antiretroviral therapy (cART). While HIV-related HL is highly associated with EBV, the causes underlying the rising incidence remain unclear. The aim of this study was to evaluate the effect of immune reconstitution on HL incidence among a cohort of HIV-infected male veterans ever receiving cART. Methods We performed a retrospective cohort study utilizing data from the Veterans Affairs HIV Clinical Case Registry from 1985-2010. HL cases were identified using ICD-9 codes (201.4-9). Poisson regression was conducted to evaluate relationships between cART-related immunologic measures (e.g., nadir CD4 before cART, time-updated CD4, % time undetectable HIV RNA) and HL incidence. Additionally, we examined CD4 change after cART initiation. Results 31,056 cART users contributed 287,256 person-years and 196 HL cases (IR=6.8/10,000 person-years). Rate of CD4 increase after cART was worse among HL cases than non-cases (p<0.05). In multivariate regression, HL risk was elevated among veterans with recent CD4 200-350 cells/µL (IRR=1.67, 95%CI=1.16-2.40) and <200 cells/µL (IRR=1.61, 95%CI=1.09-2.39), compared to >350 cells/µL. HL risk was lower among veterans with >80% time undetectable HIV RNA (IRR=0.57, 95%CI=0.35-0.92) and 40-80% undetectable (IRR=0.68, 95%CI=0.47-0.99), compared to <40% undetectable. HL risk was higher in the first 12 months (IRR=2.02, 95%CI=1.32-3.10) and 12-24 months (IRR=1.75, 95%CI=1.16-2.64) after cART initiation, compared to >36 months. Conclusion These data highlight immunosuppression and poor viral control may increase HL risk, specifically during immune reconstitution in the interval post cART initiation. Findings suggest an immune reconstitution type mechanism in HIV-related HL development.