Lower endoscopy, early-onset, and average-onset colon cancer among Medicaid beneficiaries with and without HIV

BACKGROUND

Studies suggest a lower colorectal cancer (CRC) risk and lower or similar CRC screening among people with HIV (PWH) compared with the general population. We evaluated the incidence of lower endoscopy and average-onset (diagnosed at ≥50) and early-onset (diagnosed at <50) colon cancer by HIV status among Medicaid beneficiares with comparable sociodemographic factors and access to care.

METHODS

We obtained Medicaid Analytic eXtract (MAX) data from 2001 to 2015 for 14 states. We included 41 727 243 and 42 062 552 unique individuals with at least 7 months of continuous eligibility for the endoscopy and colon cancer analysis, respectively. HIV and colon cancer diagnoses and endoscopy procedures were identified from inpatient and other nondrug claims. We used Cox proportional hazards regression models to assess endoscopy and colon cancer incidence, controlling for age, sex, race/ethnicity, calendar year and state of enrollment, and comorbidities conditions.

RESULTS

Endoscopy and colon cancer incidence increased with age in both groups. Compared with beneficiaries without HIV, PWH had an increased hazard of endoscopy; this association was strongest among those 18-39 years [hazard ratio: 1.85, 95% confidence interval (95% CI) 1.77-1.92] and attenuated with age. PWH 18-39 years also had increased hazard of early-onset colon cancer (hazard ratio: 1.66, 95% CI:1.05-2.62); this association was attenuated after comorbidity adjustment. Hazard ratios were null among all beneficiaries less than 50 years of age. PWH had a lower hazard of average-onset colon cancer compared with those without HIV (hazard ratio: 0.79, 95% CI: 0.66-0.94).

CONCLUSION

PWH had a higher hazard of endoscopy, particularly at younger ages. PWH had a lower hazard of average-onset colon cancer. Early-onset colon cancer was higher among the youngest PWH but not associated with HIV overall.

The reliability and validity of lung cancer and melanoma clinical quality survival measures

OBJECTIVE

To develop a risk adjustment approach and test reliability and validity for oncology survival measures.

DATA SOURCES AND STUDY SETTING

We used the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 2010 to 2013, with mortality data through 2015.

STUDY DESIGN

We developed 2-year risk-standardized survival rates (RSSR) for melanoma, non-small cell lung cancer (NSCLC), and small cell lung cancer (SCLC). Patients were attributed to group practices based on the plurality of visits. We identified the risk-adjustment variables via bootstrap and calculated the RSSRs. Reliability was tested via three approaches: (1) signal-to-noise ratio (SNR) reliability, (2) split-half, and (3) test-retest using bootstrap. We tested known group validity by stage at diagnosis using Cohen's d.

DATA COLLECTION/EXTRACTION METHODS

We selected all patients enrolled in Medicare and linked to SEER during the measurement period with an incident first primary diagnosis of stage I-IV melanoma, NSCLC, or SCLC. We excluded patients with missing data on month and/or stage of diagnosis.

PRINCIPAL FINDINGS

Results are based on patients with melanoma (n = 4344); NSCLC (n = 16,080); and SCLC (n = 2807) diagnosed between 2012 and 2013. The median (interquartile range) for the RSSRs at the group practice-level were 0.89 (0.83-0.87) for melanoma, 0.37 (0.30-0.43) for NSCLC, and 0.19 (0.11-0.25) for SCLC. C-statistics for the models ranged from 0.725 to 0.825. The reliability varied by approach with median SNR 0.20, 0.25, and 0.13; median test-retest 0.59, 0.57, and 0.56; median split-half reliability 0.21, 0.29, and 0.29 for melanoma, NSCLC, and SCLC, respectively. Cohen's d for stage I-IIIa and IIIb+ was 1.27, 0.86, 0.60 for melanoma, NSCLC, and SCLC, respectively.

CONCLUSIONS

Our results suggest that these cancer survival measures demonstrated adequate test-retest reliability and expected findings for the known-group validity analysis. If data limitations and feasibility challenges can be addressed, implementation of these quality measures may provide a survival metric used for oncology quality improvement efforts.

A comparison of cancer stage at diagnosis and treatment initiation between enrollees in an urban HIV clinic and SEER

PURPOSE

A comparison of stage at cancer diagnosis and cancer treatment rates between people with HIV (PWH) and the general US population is needed to identify any disparities by HIV status.

METHODS

We compared 236 PWH in clinical care diagnosed with cancer from 1997 to 2014 to a sample from NCI's Surveillance, Epidemiology and End Results (SEER) Program, presumed to be HIV negative. We performed G-computation using random forest methods to estimate stage and treatment percent differences (PD) by HIV. We conducted sensitivity analyses among non-AIDS-defining cancers (NADC), by sex and by CD4 ≤ 200 or > 200 cells/mm3.

RESULTS

PWH were less likely to be diagnosed at localized stage (PD = - 16%; 95% CI - 21, - 11) and more likely to be diagnosed at regional stage (PD = 14%; 95% CI 8, 19) than those in SEER. Cancer treatment rates were 13% lower among PWH as compared to SEER (95% CI - 18, - 8). The difference in percent receiving cancer treatment was more pronounced for those with lower CD4 at cancer diagnosis (PD -15%; 95% CI - 27, - 6). Lower treatment rates were observed among NADC, males, and women with CD4 ≤ 200.

CONCLUSION

Cancer care for PWH could be improved by diagnosis at earlier stages and increasing rates of cancer treatment.

Short Communication: Differences in 5-Year Survival After Cancer Diagnosis Between HIV Clinic Enrollees and the General U.S. Population

A total of 236 people with HIV (PWH) with cancer diagnosed between 1997 and 2014 in the Johns Hopkins HIV Clinical Cohort (JHHCC) were compared with a sample from NCI's Surveillance, Epidemiology, and End Results (SEER) Program, presumed to be HIV negative. Using G-computation with random survival forest methods, we estimated 5-year restricted mean survival time (RMST) differences by HIV status. Sensitivity analyses were performed among non-AIDS defining cancers, males, females, and stratifying PWH by CD4 ≤ 200 or >200 cells/mm3 at cancer diagnosis. PWH with CD4 ≤ 200 cells/mm3 had decreased survival compared with those in SEER (-7 months; 95% CI = -13 to -2). Women with HIV and CD4 ≤ 200 cells/mm3 at cancer diagnosis had lower survival than SEER women (-10 months; 95% CI = -18 to -2). In the total population, there was no significant difference in 5-year RMST; however, women with HIV and low CD4 had higher mortality despite accounting for stage at diagnosis and first course of cancer treatment.

Immune Status and Associated Mortality After Cancer Treatment Among Individuals With HIV in the Antiretroviral Therapy Era

Importance

Immunologic decline associated with cancer treatment in people with HIV is not well characterized. Quantifying excess mortality associated with cancer treatment-related immunosuppression may help inform cancer treatment guidelines for persons with HIV.

Objective

To estimate the association between cancer treatment and CD4 count and HIV RNA level in persons with HIV and between posttreatment CD4 count and HIV RNA trajectories and all-cause mortality.

Design, Setting, and Participants

This observational cohort study included 196 adults with HIV who had an incident first cancer and available cancer treatment data while in the care of The Johns Hopkins HIV Clinic from January 1, 1997, through March 1, 2016. The study hypothesized that chemotherapy and/or radiotherapy in people with HIV would increase HIV RNA levels owing to treatment tolerability issues and would be associated with a larger initial decline in CD4 count and slower CD4 recovery compared with surgery or other treatment. An additional hypothesis was that these CD4 count declines would be associated with higher mortality independent of baseline CD4 count, antiretroviral therapy use, and risk due to the underlying cancer. Data were analyzed from December 1, 2017, through April 1, 2018.

Exposures

Initial cancer treatment category (chemotherapy and/or radiotherapy vs surgery or other treatment).

Main Outcomes and Measures

Post-cancer treatment longitudinal CD4 count, longitudinal HIV RNA level, and all-cause mortality.

Results

Among the 196 participants (135 [68.9%] male; median age, 50 [interquartile range, 43-55] years), chemotherapy and/or radiotherapy decreased initial CD4 count by 203 cells/μL (95% CI, 92-306 cells/μL) among those with a baseline CD4 count of greater than 500 cells/μL. The decline for those with a baseline CD4 count of no greater than 350 cells/μL was 45 cells/μL (interaction estimate, 158 cells/μL; 95% CI, 31-276 cells/μL). Chemotherapy and/or radiotherapy had no detrimental association with HIV RNA levels. After initial cancer treatment, every 100 cells/μL decrease in CD4 count resulted in a 27% increase in mortality (hazard ratio, 1.27; 95% CI, 1.08-1.53), adjusting for HIV RNA level. No significant increase in mortality was associated with a unit increase in log10 HIV RNA after adjusting for CD4 count (hazard ratio, 1.24; 95% CI, 0.94-1.65).

Conclusions and Relevance

In this study, chemotherapy and/or radiotherapy was associated with significantly reduced initial CD4 count in adults with HIV compared with surgery or other treatment. Lower CD4 count after cancer treatment was associated with an increased hazard of mortality. Further research is necessary on the immunosuppressive effects of cancer treatment in adults with HIV and whether health care professionals must consider the balance of cancer treatment efficacy against the potential cost of further immunosuppression. Monitoring of immune status may also be helpful given the decrease in CD4 count after treatment and the already immunocompromised state of patients with HIV.

Do Symptoms of Depression Interact with Substance Use to Affect HIV Continuum of Care Outcomes?

Few studies examine how depression and substance use interact to affect HIV control. In 14,380 persons with HIV (PWH), we used logistic regression and generalized estimating equations to evaluate how symptoms of depression interact with alcohol, cocaine, opioid, and methamphetamine use to affect subsequent retention in care, maintaining an active prescription for ART, and consistent virologic suppression. Among PWH with no or mild depressive symptoms, heavy alcohol use had no association with virologic suppression (OR 1.00 [0.95-1.06]); among those with moderate or severe symptoms, it was associated with reduced viral suppression (OR 0.80 [0.74-0.87]). We found no interactions with heavy alcohol use on retention in care or maintaining ART prescription or with other substances for any outcome. These results highlight the importance of treating moderate or severe depression in PWH, especially with comorbid heavy alcohol use, and support multifaceted interventions targeting alcohol use and depression.

Plant-based sterols and stanols in health & disease: "Consequences of human development in a plant-based environment?"

Dietary plant sterols and stanols as present in our diet and in functional foods are well-known for their inhibitory effects on intestinal cholesterol absorption, which translates into lower low-density lipoprotein cholesterol concentrations. However, emerging evidence suggests that plant sterols and stanols have numerous additional health effects, which are largely unnoticed in the current scientific literature. Therefore, in this review we pose the intriguing question "What would have occurred if plant sterols and stanols had been discovered and embraced by disciplines such as immunology, hepatology, pulmonology or gastroenterology before being positioned as cholesterol-lowering molecules?" What would then have been the main benefits and fields of application of plant sterols and stanols today? We here discuss potential effects ranging from its presence and function intrauterine and in breast milk towards a potential role in the development of non-alcoholic steatohepatitis (NASH), cardiovascular disease (CVD), inflammatory bowel diseases (IBD) and allergic asthma. Interestingly, effects clearly depend on the route of entrance as observed in intestinal-failure associated liver disease (IFALD) during parenteral nutrition regimens. It is only until recently that effects beyond lowering of cholesterol concentrations are being explored systematically. Thus, there is a clear need to understand the full health effects of plant sterols and stanols.

An application of restricted mean survival time in a competing risks setting: comparing time to ART initiation by injection drug use

Background

Restricted mean survival time (RMST) is an underutilized estimand in time-to-event analyses. Herein, we highlight its strengths by comparing time to (1) all-cause mortality and (2) initiation of antiretroviral therapy (ART) for HIV-infected persons who inject drugs (PWID) and persons who do not inject drugs.

Methods

RMST to death was determined by integrating the Kaplan-Meier survival curve to 5 years of follow-up. To account for the competing risks of death and loss-to-clinic when estimating time to ART, we calculated RMST to ART initiation by estimating the area between the survival curve for ART initiation and the cumulative incidence curve for death or loss-to-clinic. We standardized all curves using inverse probability of exposure weights.

Results

We followed 3044 HIV-positive, ART-naive persons from enrollment into the Johns Hopkins HIV Clinical Cohort from 1996 to 2014. PWID had a − 0.19 year (95% confidence interval (CI): − 0.29, − 0.10) difference in survival over 5 years of follow-up compared to persons who did not inject drugs. There was no difference between the two groups in time not on ART while alive and in clinic (RMST difference = 0.08, 95% CI: -0.10, 0.36).

Conclusions

PWID have similar expected time to ART initiation after properly accounting for their greater risk of death and loss-to-clinic.

Electronic supplementary material

The online version of this article (10.1186/s12874-018-0484-z) contains supplementary material, which is available to authorized users.

Race-based differences in length of stay among patients undergoing pancreatoduodenectomy

BACKGROUND

Race-based disparities in operative morbidity and mortality have been demonstrated for various procedures, including pancreatoduodenectomy (PD). Race-based differences in hospital length-of-stay (LOS), especially related to provider volume at the surgeon and hospital level, remain poorly defined.

METHODS

Using the 2003-2009 Nationwide Inpatient Sample, we determined year-specific PD volumes for surgeons and hospitals and grouped them into terciles. Patient race (white, black, or Hispanic), age, sex, and comorbidities were examined. Median length of stay was calculated, and multivariable logistic regression was used to examine factors associated with increased LOS.

RESULTS

Among 4,319 eligible individuals, 3,502 (81.1%) were white, 423 (9.8%) were black, and 394 (9.1%) were Hispanic. Overall median LOS was 12 days (range, 0-234). Median annual surgeon volume was 8 (interquartile range [IQR], 2-19; range, 1-54). Annual hospital volume ranged from 1 to 129 (median, 19; IQR, 7-55). White patients were more likely to have been treated at medium- to high-volume hospitals (odds ratio [OR] 1.53, P < .001) and by medium- to high-volume surgeons (OR 1.62, P < .001) than black or Hispanic patients. After PD, white, black, and Hispanic patients demonstrated similar in-hospital mortality (5.1%, 5.7% and 7.2% respectively P = .250). After adjustment, black (OR 1.36, P = .010) and Hispanic (OR 1.68, P < .001) patients were more likely to have a greater LOS after PD.

CONCLUSION

Black and Hispanic PD patients were less likely than white patients to be treated at higher-volume hospitals and by higher-volume surgeons. Proportional mortality and LOS after PD were greater among black and Hispanic patients.