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BACKGROUND Regular medical care is important for people living with HIV. A no-show predictive model among people with HIV could improve clinical care by allowing providers to proactively engage patients at high risk of missing appointments. Epic, a major provider of electronic medical record systems, created a model that predicts a patient’s probability of being a no-show for an outpatient health care appointment; however, this model has not been externally validated in people with HIV. OBJECTIVE We examined the performance of Epic’s no-show model among people with HIV at an academic medical center and assessed whether the performance was impacted by the addition of demographic and HIV clinical information. METHODS We obtained encounter data from all in-person appointments among people with HIV from January 21 to March 30, 2022, at the University of Chicago Medicine. We compared the predicted no-show probability at the time of the encounter to the actual outcome of these appointments. We also examined the performance of the Epic model among people with HIV for only HIV care appointments in the infectious diseases department. We further compared the no-show model among people with HIV for HIV care appointments to an alternate random forest model we created using a subset of seven readily accessible features used in the Epic model and four additional features related to HIV clinical care or demographics. RESULTS We identified 674 people with HIV who contributed 1406 total scheduled in-person appointments during the study period. Of those, we identified 331 people with HIV who contributed 440 HIV care appointments. The performance of the Epic model among people with HIV for all appointments in any outpatient clinic had an area under the receiver operating characteristic curve (AUC) of 0.65 (95% CI 0.63-0.66) and for only HIV care appointments had an AUC of 0.63 (95% CI 0.59-0.67). The alternate model we created for people with HIV attending HIV care appointments had an AUC of 0.78 (95% CI 0.75-0.82), a significant improvement over the Epic model restricted to HIV care appointments (P200 copies per mL, lower CD4 T cell counts (both 50 to 3 and 200 to 3), and female sex. CONCLUSIONS For both models among people with HIV, performance was significantly lower than reported by Epic. The improvement in the performance of the alternate model over the proprietary Epic model demonstrates that, among people with HIV, the inclusion of demographic information may enhance the prediction of appointment attendance. The alternate model further reveals that the prediction of appointment attendance in people with HIV can be improved by using HIV clinical information such as CD4 count and HIV viral load test results as features in the model.

BACKGROUND Reducing care lapses for people living with HIV is critical to ending the HIV epidemic and beneficial for their health. Predictive modeling can identify clinical factors associated with HIV care lapses. Previous studies have identified these factors within a single clinic or using a national network of clinics, but public health strategies to improve retention in care in the United States often occur within a regional jurisdiction (eg, a city or county). OBJECTIVE We sought to build predictive models of HIV care lapses using a large, multisite, noncurated database of electronic health records (EHRs) in Chicago, Illinois. METHODS We used 2011-2019 data from the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN), a database including multiple health systems, covering the majority of 23,580 people with an HIV diagnosis living in Chicago. CAPriCORN uses a hash-based data deduplication method to follow people across multiple Chicago health care systems with different EHRs, providing a unique citywide view of retention in HIV care. From the database, we used diagnosis codes, medications, laboratory tests, demographics, and encounter information to build predictive models. Our primary outcome was lapses in HIV care, defined as having more than 12 months between subsequent HIV care encounters. We built logistic regression, random forest, elastic net logistic regression, and XGBoost models using all variables and compared their performance to a baseline logistic regression model containing only demographics and retention history. RESULTS We included people living with HIV with at least 2 HIV care encounters in the database, yielding 16,930 people living with HIV with 191,492 encounters. All models outperformed the baseline logistic regression model, with the most improvement from the XGBoost model (area under the receiver operating characteristic curve 0.776, 95% CI 0.768-0.784 vs 0.674, 95% CI 0.664-0.683; P CONCLUSIONS We used a real-world approach to leverage the full scope of data available in modern EHRs to predict HIV care lapses. Our findings reinforce previously known factors, such as the history of prior care lapses, while also showing the importance of laboratory testing, chronic comorbidities, sociodemographic characteristics, and clinic-specific factors for predicting care lapses for people living with HIV in Chicago. We provide a framework for others to use data from multiple different health care systems within a single city to examine lapses in care using EHR data, which will aid in jurisdictional efforts to improve retention in HIV care. CLINICALTRIAL

It is unknown how the COVID-19 pandemic impacted traditional measures of retention in HIV care. We calculated six different retention measures at an urban HIV care clinic for two time periods: pre-pandemic, and during the first year of the COVID-19 pandemic, with and without inclusion of telehealth appointments. Spearman rank correlation was used to assess correlation between different measures of retention. For both the pre-pandemic and pandemic time periods, there was strong correlation among measures of missed visits (range 0.857-0.957). More patients were considered retained in care during the pandemic when telehealth appointments were included in the analysis.

Background Routine opt-out HIV testing in healthcare settings is often not implemented to its fullest extent. We assessed factors contributing to missed HIV testing opportunities at an academic medical center in Chicago, Illinois, with a routine HIV screening program. Methods Retrospective analysis of HIV testing in clinical encounters was performed using multivariate regession models. Missed opportunities were defined as 1) an encounter during which an HIV test was not conducted on a patient later diagnosed with HIV, or 2) an encounter in which a bacterial STI test was performed without HIV testing. Results Of 122 people newly diagnosed with HIV from 2011-2018, 98 patients had 1215 prior encounters, of which 82.8% were missed opportunities. Female gender, persons not known to be men who have sex with men, and encounter location other than inpatient had higher odds of a missed opportunity. Nearly half (48.4%) of 104,678 bacterial STI testing encounters were missed opportunities. Female gender, older age, lack of syphilis testing, and location outside the emergency department had higher odds of a missed opportunity. Conclusions We found a high number of missed HIV testing opportunities, which could be reduced by strengthening routine screening and increasing targeted testing concurrent with STI screening.

Objective:To determine clinical characteristics associated with false-negative severe acute respiratory coronavirus virus 2 (SARS-CoV-2) test results to help inform coronavirus disease 2019 (COVID-19) testing practices in the inpatient setting.Design:A retrospective observational cohort study.Setting:Tertiary-care facility.Patients:All patients 2 years of age and older tested for SARS-CoV-2 between March 14, 2020, and April 30, 2020, who had at least 2 SARS-CoV-2 reverse-transcriptase polymerase chain reaction tests within 7 days.Methods:The primary outcome measure was a false-negative testing episode, which we defined as an initial negative test followed by a positive test within the subsequent 7 days. Data collected included symptoms, demographics, comorbidities, vital signs, labs, and imaging studies. Logistic regression was used to model associations between clinical variables and false-negative SARS-CoV-2 test results.Results:Of the 1,009 SARS-CoV-2 test results included in the analysis, 4.0% were false-negative results. In multivariable regression analysis, compared with true-negative test results, false-negative test results were associated with anosmia or ageusia (adjusted odds ratio [aOR], 8.4; 95% confidence interval [CI], 1.4–50.5; P = .02), having had a COVID-19–positive contact (aOR, 10.5; 95% CI, 4.3–25.4; P < .0001), and having an elevated lactate dehydrogenase level (aOR, 3.3; 95% CI, 1.2–9.3; P = .03). Demographics, symptom duration, other laboratory values, and abnormal chest imaging were not significantly associated with false-negative test results in our multivariable analysis.Conclusions:Clinical features can help predict which patients are more likely to have false-negative SARS-CoV-2 test results.

The association between patients’ confidence in their ability to attend appointments and future retention in care has not previously been studied in a general HIV clinic. A survey of potential and known risk factors for poor retention was developed using validated screening tools and administered to 105 patients at an HIV clinic. Retention in care was assessed prospectively using two definitions: (1) two appointments at least three months apart within one year (“HRSA/HAB retention”) and (2) no missed appointments within one year (“missed visits retention”). Most patients were African American (86%) and male (59%). Although most patients were confident they could keep their HIV appointments (89%), fewer were retained (HRSA/HAB: 73%; missed visits: 56%). Patients’ confidence in their ability to keep future appointments was not associated with retention. Employment was associated with lower odds of HRSA/HAB retention (aOR 0.26 [95% CI 0.09–0.77]), and childcare was a common barrier that was associated with lower odds of missed visits retention (aOR 0.06 [95% CI 0.006–0.62]). Other known risk factors for poor retention were inconsistently associated with retention in care.

Background Reducing care lapses for people living with HIV is critical to ending the HIV epidemic and beneficial for their health. Predictive modeling can identify clinical factors associated with HIV care lapses. Previous studies have identified these factors within a single clinic or using a national network of clinics, but public health strategies to improve retention in care in the United States often occur within a regional jurisdiction (eg, a city or county). Objective We sought to build predictive models of HIV care lapses using a large, multisite, noncurated database of electronic health records (EHRs) in Chicago, Illinois. Methods We used 2011-2019 data from the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN), a database including multiple health systems, covering the majority of 23,580 people with an HIV diagnosis living in Chicago. CAPriCORN uses a hash-based data deduplication method to follow people across multiple Chicago health care systems with different EHRs, providing a unique citywide view of retention in HIV care. From the database, we used diagnosis codes, medications, laboratory tests, demographics, and encounter information to build predictive models. Our primary outcome was lapses in HIV care, defined as having more than 12 months between subsequent HIV care encounters. We built logistic regression, random forest, elastic net logistic regression, and XGBoost models using all variables and compared their performance to a baseline logistic regression model containing only demographics and retention history. Results We included people living with HIV with at least 2 HIV care encounters in the database, yielding 16,930 people living with HIV with 191,492 encounters. All models outperformed the baseline logistic regression model, with the most improvement from the XGBoost model (area under the receiver operating characteristic curve 0.776, 95% CI 0.768-0.784 vs 0.674, 95% CI 0.664-0.683; P Conclusions We used a real-world approach to leverage the full scope of data available in modern EHRs to predict HIV care lapses. Our findings reinforce previously known factors, such as the history of prior care lapses, while also showing the importance of laboratory testing, chronic comorbidities, sociodemographic characteristics, and clinic-specific factors for predicting care lapses for people living with HIV in Chicago. We provide a framework for others to use data from multiple different health care systems within a single city to examine lapses in care using EHR data, which will aid in jurisdictional efforts to improve retention in HIV care.

Background HIV disproportionately affects Black/African American cisgender women (hereafter women) in the United States. Despite its proven effectiveness, pre-exposure prophylaxis (PrEP) for HIV prevention remains vastly under-prescribed to women based on their need. Increasing PrEP uptake and persistence among women is crucial to reducing HIV transmission; however, there have been few studies designed specifically for women. This article describes the study protocol used to assess the feasibility, acceptability, and effectiveness of implementation strategies to improve PrEP uptake and persistence among Black women in the Midwest and South. Methods PrEP Optimization among Women to Enhance Retention and Uptake (POWER Up) is an evidence-based, woman-focused set of five implementation science strategies that addresses barriers of PrEP utilization at the provider, patient, and clinic levels. POWER Up includes 1) routine PrEP education for patients, 2) standardized provider training, 3) electronic medical record (EMR) optimization, 4) PrEP navigation, and 5) PrEP clinical champions. These strategies will be adapted to specific clinics for implementation, tested via a stepped-wedge trial, and, if effective, packaged for further dissemination. Discussion We will utilize a stepped-wedge cluster randomized trial (SW-CRT) to measure change in PrEP utilization across diverse geographic areas. Preparation for adapting and implementing the bundle of strategies is needed to determine how to tailor them to specific clinics. Implementation challenges will include adapting strategies with the available resources at each site, maintaining stakeholder involvement and staff buy-in, adjusting the study protocol and planned procedures as needed, and ensuring minimal crossover. Additionally, strengths and limitations of each strategy must be examined before, during, and after the adaptation and implementation processes. Finally, the implementation outcomes of the strategies must be evaluated to determine the real-world success of the strategies. This study is an important step toward addressing the inequity in PrEP service delivery and increasing PrEP utilization among Black women in the U.S.

Background Regular medical care is important for people living with HIV. A no-show predictive model among people with HIV could improve clinical care by allowing providers to proactively engage patients at high risk of missing appointments. Epic, a major provider of electronic medical record systems, created a model that predicts a patient’s probability of being a no-show for an outpatient health care appointment; however, this model has not been externally validated in people with HIV. Objective We examined the performance of Epic’s no-show model among people with HIV at an academic medical center and assessed whether the performance was impacted by the addition of demographic and HIV clinical information. Methods We obtained encounter data from all in-person appointments among people with HIV from January 21 to March 30, 2022, at the University of Chicago Medicine. We compared the predicted no-show probability at the time of the encounter to the actual outcome of these appointments. We also examined the performance of the Epic model among people with HIV for only HIV care appointments in the infectious diseases department. We further compared the no-show model among people with HIV for HIV care appointments to an alternate random forest model we created using a subset of seven readily accessible features used in the Epic model and four additional features related to HIV clinical care or demographics. Results We identified 674 people with HIV who contributed 1406 total scheduled in-person appointments during the study period. Of those, we identified 331 people with HIV who contributed 440 HIV care appointments. The performance of the Epic model among people with HIV for all appointments in any outpatient clinic had an area under the receiver operating characteristic curve (AUC) of 0.65 (95% CI 0.63-0.66) and for only HIV care appointments had an AUC of 0.63 (95% CI 0.59-0.67). The alternate model we created for people with HIV attending HIV care appointments had an AUC of 0.78 (95% CI 0.75-0.82), a significant improvement over the Epic model restricted to HIV care appointments (P200 copies per mL, lower CD4 T cell counts (both 50 to Conclusions For both models among people with HIV, performance was significantly lower than reported by Epic. The improvement in the performance of the alternate model over the proprietary Epic model demonstrates that, among people with HIV, the inclusion of demographic information may enhance the prediction of appointment attendance. The alternate model further reveals that the prediction of appointment attendance in people with HIV can be improved by using HIV clinical information such as CD4 count and HIV viral load test results as features in the model.

We previously developed an electronic medical record-based algorithm for identifying patients at risk for HIV in the emergency department (ED). The aim of this study was to evaluate the performance of the HIV risk algorithm for identifying cisgender women with a pre-exposure prophylaxis (PrEP) indication. To retrospectively evaluate the HIV risk algorithm, we identified cisgender women with HIV diagnosed in the ED and retrospectively calculated the HIV risk algorithm output. To prospectively validate the algorithm, we surveyed cisgender women seeking care in the ED regarding behavioral risks for HIV. We prospectively determined whether the algorithm identified them as PrEP candidates. In the retrospective evaluation, 9.4% (2/21) of women with incident HIV infection were identified as at risk for HIV by the algorithm. In the prospective evaluation, 24% (59/245) of women who completed the survey had a PrEP indication based on self-report of behavioral risk factors for HIV. The sensitivity of the algorithm for identifying cisgender female PrEP candidates was 10%, and the specificity was 96%. PrEP indications missed by the electronic algorithm included condomless sex in a high HIV prevalence area, multiple sex partners, male partners who have sex with men, and recent bacterial sexually transmitted infections diagnosed at outside clinics. An electronic algorithm to identify PrEP candidates in the ED has low sensitivity for identifying cisgender women with PrEP indications. More research is needed to identify electronic data that can improve the algorithm sensitivity among cisgender women.

With syphilis rates rising rapidly in the United States, novel means of reaching high-risk populations for screening and treatment are needed. Building on successful models for emergency department (ED) HIV screening, a routine opt-out syphilis screening program was implemented in a large, urban, tertiary care hospital ED in May 2019. This study aims to assess the prevalence of syphilis in this population and to evaluate the routine, opt-out syphilis screening model.A retrospective chart review was performed of all patients screened for syphilis in the ED from June to December 2019. Demographic information, HIV status, chief complaint, and follow-up visits were examined.During the study period, 9198 people aged 18 to 64 years were screened for syphilis. Of these, 97 (1.1%) had presumed active syphilis infection (PAI), 354 (3.8%) were presumed not to have active syphilis, and 8747 (95.1%) were negative for infection. Patients with PAI were more likely to be male (67%; adjusted odds ratio, 3.5; 95% confidence interval, 2.3-5.3; P0.001), although the percentage of women was considerably higher than the nationally reported rate, and most were non-Hispanic Black (93.8%). Among patients with PAI, 23 (23.7%) were HIV positive. Only 18.6% of patients with PAI presented with complaints related to sexually transmitted infections.Syphilis rates in this community are very high, and many infections were found in populations traditionally considered at lower risk by demographic or presenting complaint, indicating that universal screening is needed. Routine ED syphilis screening in high-prevalence communities will be critical to addressing the syphilis epidemic.

This study aimed to evaluate the impact of mail order pharmacy services and travel time to pharmacy on HIV viral suppression rates among people living with HIV. For adult patients receiving HIV care from 2010–2015 at an urban HIV care clinic, we collected demographics, pharmacy type, viral load, and patient home and pharmacy address. We geocoded addresses and measured travel time to pharmacy by car and public transportation. No difference was observed in recent viral suppression rates based on pharmacy type (p=0.41), distance to pharmacy (p= 0.16), or travel time to pharmacy by car (p= 0.20) or public transportation (p= 0.15). The only factors significantly associated with sustained viral suppression were number of doses per day of antiretroviral therapy, with patients prescribed twice daily regimens less likely to be virally suppressed than those prescribed once daily regimens (aOR 0.4, 95% CI, [0.1, 0.6]) and average household income in patients’ zip code, with patients living in zip codes with average household income $55,000 per year (aOR 0.2. 95% CI, [0.1, 0.7]).

The COVID-19 pandemic resulted in widespread telehealth expansion. To determine telehealth uptake and potential sociodemographic differences in utilization among people with HIV (PwH), we examined HIV care appointments at the University of Chicago Medicine, an urban tertiary hospital. Visits between March 15th and September 9th for 2019 and 2020 were categorized as in-person, telehealth, and within telehealth, video, and phone. Differences in visit types were modeled using logistic regression to examine associations with demographics, insurance type, and HIV risk transmission category. Telehealth appointments were more likely for those aged 46-60 versus those 31-45 [46-60; AOR 1.89 95% CI (1.14, 3.15)]. Black race and participants of other races were less likely to use telehealth compared to whites [Black: AOR 0.33 95% CI (0.16, 0.64), other: AOR 0.10 95% CI (0.02, 0.34)]. Future studies should continue to examine potential disparities in telehealth use among PwH, including age and racial differences.

Due to the gap between cisgender women eligible for and those accessing pre-exposure prophylaxis (PrEP) for HIV prevention, it is critical to understand knowledge of and attitudes toward PrEP among HIV-vulnerable women. PrEP utilization is particularly low among African American women in the USA. Family planning clinics provide key access points to reach HIV-vulnerable African American women as well as to translate research findings into clinical practice. Our study aimed to (1) describe the awareness of and interest in PrEP among African American cisgender women attending a family planning clinic and (2) document the barriers and facilitators to PrEP uptake among these women. A cross-sectional survey was conducted with sexually active African American women of reproductive age attending a family planning clinic. Descriptive statistics were used to characterize the sample, and bivariate analysis was used to detect difference between categorical and outcome variables. In our survey (N = 109), over 80% of participants listed not knowing PrEP was available as the primary reason for not currently taking PrEP. Seventy percent reported they would probably or definitely like to take PrEP - demonstrating that barriers to uptake might stem from knowledge deficits rather than attitudes toward prevention. Study findings have the potential to inform strategies to increase awareness of PrEP as an HIV prevention option as well as to equip women with greater self-efficacy to access PrEP in family planning settings.

Objective As electronic medical record (EMR) data are increasingly used in HIV clinical and epidemiologic research, accurately identifying people with HIV (PWH) from EMR data is paramount. We sought to evaluate EMR data types and compare EMR algorithms for identifying PWH in a multicenter EMR database. Materials and Methods We collected EMR data from 7 healthcare systems in the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) including diagnosis codes, anti-retroviral therapy (ART), and laboratory test results. Results In total, 13 935 patients had a positive laboratory test for HIV; 33 412 patients had a diagnosis code for HIV; and 17 725 patients were on ART. Only 8576 patients had evidence of HIV-positive status for all 3 data types (laboratory results, diagnosis code, and ART). A previously validated combination algorithm identified 22 411 patients as PWH. Conclusion EMR algorithms that combine laboratory results, administrative data, and ART can be applied to multicenter EMR data to identify PWH.

PurposeHIV in the United States disproportionately affects young Black women. Pre-exposure prophylaxis (PrEP) is an effective HIV prevention option that has the potential to reduce HIV incidence among HIV-vulnerable populations. However, data regarding women's awareness, interest in starting, and feelings of acceptability or stigma about PrEP remains limited, particularly among adolescent and young Black women.Materials and methodsA cross-sectional survey was conducted with 100 sexually active young Black women ages 13–24 years attending women's health clinics in Chicago, IL. Descriptive statistics were used to characterize the sample and determine more about what the PrEP needs and barriers are in this community. Associations were modeled using logistic regression and 95% confidence intervals for both bivariate and multivariable models.ResultsIn our survey (N = 100), half of study participants (50%) expressed interest in starting PrEP in the next three months and a majority (80%) of young women were confident they could obtain PrEP. Pregnant young women were significantly more interested in starting PrEP than non-pregnant women [OR 2.3 95% CI (1.0, 5.4)], p = 0.05), however, this association did not remain significant in adjusted models.ConclusionsThis study provides a more complete understanding of awareness, interest in, and acceptability of PrEP among adolescent and young Black women attending women's health clinics. Findings indicate sustained interest in starting PrEP, reduced stigma, and increased awareness of PrEP among young Black women. These findings suggest that integrating PrEP into women's health clinics is a promising strategy to increase awareness and utilization of PrEP and decrease HIV transmission among youth at highest risk.

Since the onset of the COVID-19 pandemic, it has been unclear how vulnerable people with HIV (PwH) are to SARS-CoV-2 infection. We sought to determine if PwH are more likely to test positive for SARS-CoV-2 than people without HIV, and to identify risk factors associated with SARS-CoV-2 positivity among PwH. We conducted a cross-sectional study in which we collected electronic medical record data for all patients who underwent SARS-CoV-2 PCR testing at an academic medical center. Presence of HIV and other chronic diseases were based on the presence of ICD-10 diagnosis codes. We calculated the percent positivity for SARS-CoV-2 among PwH and among people without HIV. Among PwH, we compared demographic factors, comorbidities, HIV viral load, CD4 T-cell count, and antiretroviral therapy (ART) regimens between those who tested positive for SARS-CoV-2 and those who tested negative. Comparisons were made using chi squared tests or Wilcoxon rank sum tests. Multivariate models were created using logistic regression. Among 69,763 people tested for SARS-CoV-2, 0.6% (431) were PwH. PwH were not significantly more likely to test positive for SARS-CoV-2 than people without HIV (7.2% (31/431) vs 8.4% (5820/69763), p = 0.35), but were more likely to be younger, Black, and male (p-values < .0001). There were no significant differences in HIV clinical factors, chronic diseases, or ART regimens among PwH testing positive for SARS-CoV-2 versus those testing negative. In our sample, PwH were not more likely to contract SARS-CoV-2, despite being more likely to be members of demographic groups known to be at higher risk for infection. Differences between PwH who tested positive for SARS-CoV-2 and those who tested negative were only seen in Hispanic/Latino ethnicity (non-Hispanic or Latino vs unknown Hispanic or Latino ethnicity (OR 0.2 95% CI (0.6, 0.9)) and site of testing(inpatient vs outpatient OR 3.1 95% CI (1.3, 7.4)).

Background The COVID-19 pandemic has negatively impacted routine HIV screening in healthcare settings. This has serious implications, especially for patients with acute HIV infection (AHI) presenting with symptoms suggesting COVID-19 infection. This is a high priority population for rapid linkage to care (LTC) and initiation of HAART. Methods We reviewed data from our eXpanded HIV Testing and LTC (X-TLC) Program, a collaboration effort between 13 healthcare centers on the South and West Sides of Chicago. Since 2016, most sites had 4th or 5th generation HIV Ag/Ab testing available. Results Most sites experienced reductions in HIV screens during the COVID-19 pandemic. Advanced planning by our ED incorporated blood draws for HIV screens as part of COVID-19 evaluations. UCM performed 19,111 HIV screens (11,133 in the ED) between 1/1/20 and 8/17/20, along with 100,635 COVID PCRs (14,754 in ED) between 3/17/20 and 8/17/20. Nine patients were diagnosed with AHI after the first case of COVID-19 in Chicago (1/24/20), and 7 were diagnosed after the first case of community transmission in Cook County (3/8/20). All cases of AHI were diagnosed in the ED. The rate of AHI was significantly higher in 2020 versus the prior 4 years (14.4 vs 6.8 per year, p < 0.05). AHI patients comprised 25.7 % (9/35) of all new diagnoses, the highest percent ever. There were 7 men (6 identified as MSM) and 2 cis-gender women, median age of 25 years (21 to 28 years). The median viral load was 6 million (115,000 to > 6 million) copies/mL. Eight of 9 patients presented with an illness indistinguishable from COVID-19, including 1co-infected patient. All were LTC and started on HAART from time of PCR result within a median of 1 day (0–38), but 3 days (range 1–41) from sample collection as a result of delayed reflex PCR confirmatory testing due to high demands on lab personnel and scarcity of reagents due to COVID-19 PCR volumes (since resolved). HIV Screening and COVID-19 Testing in the ED During COVID-19 Conclusion Continued HIV screening in our ED during the COVID-19 pandemic identified an increased number of patients with AHI. These individuals may be more likely to present for care due to fear of COVID-19 infection. We achieved rapid LTC and initiation of HAART without any incremental increases in resources. All HIV screening programs should incorporate blood-based HIV screening into their COVID-19 testing programs. Disclosures Moira McNulty, MD, MS, Gilead Sciences (Grant/Research Support)

Background Although black cisgender women in Chicago continue to disproportionally account for new HIV diagnoses, few are on pre-exposure prophylaxis (PrEP). We used concurrent mixed-methods to understand women's PrEP knowledge, attitudes, experience, and preferences in Chicago. Setting and methods We surveyed 370 HIV(-) cisgender women visiting a sexually transmitted infection clinic (n = 120) or emergency department (n = 250). Two focus groups were conducted with PrEP-naive women, and interviews were conducted with 7 PrEP-experienced women. Quantitative data were analyzed using descriptive statistics and multivariable logistic regression, and qualitative data using thematic analysis. Results Majority of women identified as black (83.0%) and had a regular source of health care (70.0%). In the past 6 months, 84.1% had vaginal or anal sex, most with inconsistent condom use (94.2%). Only 30.3% had heard of PrEP, but once explained, one-quarter considered starting PrEP, with protecting health (76.4%) and reducing HIV worry (58.1%) the most common reasons. Factors associated with considering PrEP included being Latina [adjusted odds ratio (aOR): 3.30, 95% confidence interval (CI): (1.21 to 8.99)], recent sexually transmitted infection [aOR: 2.39, 95% CI: (1.25 to 4.59)], and higher belief in PrEP effectiveness [aOR: 1.85, 95% CI: (1.22 to 2.82)]. Most (81.1%) had concerns about taking PrEP with side effects a common concern. Qualitative themes aligned with survey results, revealing a disconnection from current PrEP marketing, need for community-level PrEP education/outreach, and importance of provider trust. Lessons learned Despite significant PrEP implementation work in Chicago, less than one-third of women in our study had heard of PrEP. Once informed, PrEP attitudes and interest were positive. Translating these results into interventions reflecting women's preferences and barriers is critical to increase PrEP uptake by cisgender women in Chicago and elsewhere.

Objectives:Social determinants of health (SDHs) are the complex, structural, and societal factors that are responsible for most health inequities. Since 2003, the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP) has researched how SDHs place communities at risk for communicable diseases and poor adolescent health. We described the frequency and types of SDHs discussed in articles authored by NCHHSTP.Methods:We used the MEDLINE/PubMed search engine to systematically review the frequency and type of SDHs that appeared in peer-reviewed publications available in PubMed from January 1, 2009, through December 31, 2014, with a NCHHSTP affiliation. We chose search terms to identify articles with a focus on the following SDH categories: income and employment, housing and homelessness, education and schooling, stigma or discrimination, social or community context, health and health care, and neighborhood or built environment. We classified articles based on the depth of topic coverage as “substantial” (ie, one of ≤3 foci of the article) or “minimal” (ie, one of ≥4 foci of the article).Results:Of 862 articles authored by NCHHSTP, 366 (42%) addressed the SDH factors of interest. Some articles addressed >1 SDH factor (366 articles appeared 568 times across the 7 categories examined), and we examined them for each category that they addressed. Most articles that addressed SDHs (449/568 articles; 79%) had a minimal SDH focus. SDH categories that were most represented in the literature were health and health care (190/568 articles; 33%) and education and schooling (118/568 articles; 21%).Conclusions:This assessment serves as a baseline measurement of inclusion of SDH topics from NCHHSTP authors in the literature and creates a methodology that can be used in future assessments of this topic.

Emergency Departments (EDs) have the potential to play a crucial role in HIV prevention by identifying and linking high-risk HIV-negative clients to preexposure prophylaxis (PrEP) care, but it is difficult to perform HIV risk assessment for all ED patients. We aimed to develop and implement an electronic risk score to identify ED patients who are potential candidates for PrEP. Using electronic medical record (EMR) data, we used logistic regression to model the outcome of PrEP eligibility. We converted the model into an electronic risk score and incorporated it into the EMR. The risk score is automatically calculated at triage. For patients whose risk score is above a given threshold, an automated electronic alert is sent to an HIV prevention counselor who performs real time HIV prevention counseling, risk assessment, and PrEP linkage as appropriate. The electronic risk score includes the following EMR variables: age, gender, gender of sexual partner, chief complaint, and positive test for sexually transmitted infection in the prior 6 months. A risk score ≥21 has specificity of 80.6% and sensitivity of 50%. In the first 5.5 months of implementation, the alert fired for 180 patients, 34.4% (62/180) of whom were women. Of the 51 patients who completed risk assessment, 68.6% (35/51) were interested in PrEP, 17.6% (9/51) scheduled a PrEP appointment, and 7.8% (4/51) successfully initiated PrEP. The measured number of successful PrEP initiations is likely an underestimate, as it does include patients who initiated PrEP with outside providers or referred acquaintances for PrEP care.

Introduction Incident HIV infections persist in the United States (U.S.) among marginalized populations. Targeted and cost‐efficient testing strategies can help in reaching HIV elimination. This analysis compares the effectiveness and cost of three HIV testing strategies in a high HIV burden area in the U.S. in identifying new HIV infections. Methods We performed a cost analysis comparing three HIV testing strategies in Chicago: (1) routine screening (RS) in an inpatient and outpatient setting, (2) modified partner services (MPS) among networks of the recently HIV infected and diagnosed, and (3) a respondent drive sampling (RDS)‐based social network (SN) approach targeting young African‐American men who have sex with men. All occurred at the same academic medical centre during the following times: routine testing, 2011 to 2016; MPS, 2013 to 2016; SN: 2013 to 2014. Costs were in 2016 dollars and included personnel, HIV testing, training, materials, overhead. Outcomes included cost per test, HIV‐positive test and new diagnosis. Sensitivity analyses were performed to assess the impact of population demographics. Results The RS programme completed 57,308 HIV tests resulting in 360 (0.6%) HIV‐positive tests and 165 new HIV diagnoses (0.28%). The MPS completed 146 HIV tests, resulting in 79 (54%) HIV‐positive tests and eight new HIV diagnoses (5%). The SN strategy completed 508 HIV tests, resulting in 210 (41%) HIV‐positive tests and 37 new HIV diagnoses (7.2%). Labour accounted for the majority of costs in all strategies. The estimated cost per new HIV diagnosis was $16,773 for the RS programme, $61,418 for the MPS programme and $15,683 for the SN testing programme. These costs were reduced for the RS and MPS strategies in sensitivity analyses limiting testing efficacy to the highest prevalence patient populations ($2,841 and $33,233 respectively). Conclusions The SN strategy yielded the highest proportion of new diagnoses, followed closely by the MPS programme. Both the SN strategy and RS programme were comparable in the cost per new diagnosis. A simultaneous approach that consists of RS in combination with SN testing may be most effective for identifying new HIV infections in settings with heterogeneous epidemics with both high rates of HIV prevalence and HIV testing.

We used the 2013 Medicaid Analytic eXtract (MAX) database to estimate chlamydia testing rates separately for sexually active women aged 15-25 years who had, or had not, given birth in 2013. Approximately 9.2% of sexually active women aged 15-25 years gave birth in 2013. The Healthcare Effectiveness Data Information Set (HEDIS) annual chlamydia testing rate was significantly higher among women who had given birth than women who had not in 2013 (59.7 vs 29.4%, P

Objectives To examine sociodemographic factors and chronic health conditions of people living with HIV (PLWHIV/HIV+) at least 65 years old and compare their chronic disease prevalence with beneficiaries without HIV. Design National fee-for-service Medicare claims data (parts A and B) from 2006 to 2009 were used to create a retrospective cohort of beneficiaries at least 65 years old. Methods Beneficiaries with an inpatient or skilled nursing facility claim, or outpatient claims with HIV diagnosis codes were considered HIV+. HIV+ beneficiaries were compared with uninfected beneficiaries on demographic factors and on the prevalence of hypertension, hyperlipidemia, ischemic heart disease, rheumatoid arthritis/osteoarthritis, and diabetes. Odds ratios (OR), 95% confidence intervals (CIs), and P values were calculated. Adjustment variables included age, sex, race/ethnicity, end stage renal disease (ESRD), and dual Medicare-Medicaid enrollment. Chronic conditions were examined individually and as an index from zero to all five conditions. Results Of 29 060 418 eligible beneficiaries, 24 735 (0.09%) were HIV+. HIV+ beneficiaries were more likely to be Hispanic, African-American, male, and younger (P > 0.0001) and were 1.5-2.1 times as likely to have a chronic disease [diabetes (adjusted OR) 1.51, 95% CI (1.47, 1.55): rheumatoid arthritis/osteoarthritis 2.14, 95% CI (2.08, 2.19)], and 2.4-7 times as likely to have 1-5 comorbid chronic conditions [1 condition (adjusted OR) 2.38, 95% CI (2.21, 2.57): 5 conditions 7.07, 95% CI (6.61, 7.56)]. Conclusion Our results show that PLWHIV at least 65 years old are at higher risk of comorbidities than other fee-for-service Medicare beneficiaries. This finding has implications for the cost and health management of PLWHIV 65 years and older.

Growing evidence suggests that rapid initiation of antiretroviral therapy for HIV improves care continuum outcomes. We evaluated process and clinical outcomes for rapid initiation in acute HIV infection within a multisite health care–based HIV testing and linkage to care program in Chicago. Through retrospective analysis of HIV testing data (2016-2017), we assessed linkage to care, initiation of antiretroviral therapy, and viral suppression. Of 334 new HIV diagnoses, 33 (9.9%) individuals had acute HIV infection. Median time to linkage was 11 (interquartile range [IQR]: 5-19.5) days, with 15 days (IQR 5-27) to initiation of antiretroviral therapy. Clients achieved viral suppression at a median of 131 (IQR: 54-188) days. Of all, 69.7% were retained in care, all of whom were virally suppressed. Sites required few additional resources to incorporate rapid initiation into existing processes. Integration of rapid initiation of antiretroviral therapy into existing HIV screening programs is a promising strategy for scaling up this important intervention.

Objectives: In the United States, universal screening for latent tuberculosis (TB) infection among people with HIV is recommended, but the percentage receiving screening is unknown. This study assessed screening for latent TB infection among people with HIV enrolled in Medicaid during 2006-2010. Methods: We used nationwide fee-for-service Medicaid records to identify people with HIV, measure screening for latent TB infection, and examine associated demographic, social, and clinical factors. We used logistic regression analysis to calculate odds ratios (ORs) and 95% confidence intervals (CIs). We created 2 multivariate models to prevent collinearity between variables for length of HIV infection. Results: Of 152 831 people with HIV, 26 239 (17.2%) were screened for latent TB infection. The factor most strongly associated with screening was TB exposure or suspected TB (OR = 3.78; 95% CI, 3.27-4.37). Significant demographic characteristics associated with screening included being African American (OR = 1.28; 95% CI, 1.24-1.32) or ≤20 years of age (OR = 1.35; 95% CI, 1.28-1.42). Significant clinical and social factors associated with screening included poor housing conditions, low body mass index, chemotherapy treatment, and use of certain substances (ORs ranged from 1.24 [95% CI, 1.20-1.27] to 1.47 [95% CI, 1.22-1.76]). The screening rate for latent TB infection was higher among people with newly diagnosed HIV infection than among those with established infection (OR = 1.37; 95% CI, 1.32-1.41) and among people with a longer established HIV infection than among those with shorter HIV infection (OR = 1.24; 95% CI, 1.23-1.26 for each additional year). Conclusion: Screening for latent TB infection among fee-for-service Medicaid beneficiaries with HIV was suboptimal, despite the presence of demographic, social, or clinical characteristics that should have increased the likelihood of screening. The lack of certain data in Medicaid may have resulted in an underestimation of screening.

Background Individuals with acute HIV infection (AHI) are a priority for public health due to higher viral loads and greater risk of transmission. Despite potential clinical and public health benefits, rapid or immediate ART can be resource-intensive, with programmatic implications. We measured the contribution of AHI to our programs community viral load (VL) to inform our expanded testing and linkage to care program. Methods We calculated the contribution to the community VL for 3 HIV-positive groups from January 1, 2016 to September 1, 2018; (1) AHI (p24 antigen-positive, negative or indeterminate supplemental antibody testing), (2) new diagnoses (ND), and (3) existing diagnoses (ED). Persons who were AHI or ND were ART naïve at first VL. The contribution of each group to community VL was calculated at the first and second VL assays. Group contributions were characterized as (1) percentage of the total HIV-positive population, and (2) group contribution to community VL. Results 217 persons tested positive for HIV and had an initial VL, and 69 persons linked to our program had a second VL. Time intervals between first and second VL measurements were similar between groups (Kruskal–Wallis P = 0.55). Initial VL medians were significantly different by group (Kruskal–Wallis P < 0.001), partly due to the large number of ED in care and virally suppressed ( Conclusion Patients with AHI are small proportion of our cohort compared with ND and ED, but account for the greatest portion of our community VL. These data quantifies the benefit of rapid initiation of ART for AHI to reduce community VL, a priority for prevention efforts. Disclosures All authors: No reported disclosures.

Background Persons with acute HIV infection have high viral loads and are highly infectious compared with those with chronic infection. Rapid linkage to care and initiation of therapy, facilitated by new testing algorithms, allows for immunologic preservation and rapid virologic control, which benefits the individual and decreases transmission events. Methods We analyzed testing data (2016–2017) from the xTLC Program, a collaborative effort between 13 healthcare centers on the South and West sides of Chicago. For acute HIV infections, we assessed linkage to care, initiation of antiretroviral therapy (ART) and viral suppression across sites. Results Of 334 new HIV diagnoses in xTLC, 33 (9.9%) had acute infection across six sites (five acute care hospitals/emergency departments, one clinic). Baseline viral load (VL) was 2.19 million copies/mL (IQR 0.47–5.00) and baseline CD4 count was 440.5/µL (IQR 287.5–568.5). Table 1 shows care continuum outcomes for patients with acute HIV infection. Table 1: Care Continuum Outcomes for Acute HIV Infections Diagnosed Through X-TLC Site (N) Days to Linkage* (IQR) Days to ART* (IQR) Days to ≥2 Log Reduction in VL* (IQR) Days to VL ≤ 200* (IQR) Retained in Care** (%) Virally Suppressed (%) A (1) 27 (27–27) 9 (9–9) 55 (55–55) 55 (55–55) 1 (100.0) 1 (100.0) B (6) 11 (6–58) 21.5 (7–58) 48 (34–62) 132.5 (48–321) 4 (66.7) 4 (100.0) C (2) 39 (39–39) 53 (53–53) 95 (95–95) 162 (162–162) 1 (50.0) 1 (100.0) D (4) 3.5 (1.5–4.5) 4 (3–6) 31 (29–33) 31 (29–33) 3 (75.0) 3 (100.0) E (14) 8.5 (4–18) 5.5 (4–21) 55 (47–131) 124 (55–162) 10 (71.4) 10 (100.0) F (6) 14 (13–21) 25.5 (23–34) 92.5 (62–471) 329.5 (186–643) 4 (66.7) 4 (100.0) Total (33) 11 (5–19.5) 15 (5–27) 58.5 (42–117) 131 (54–188) 23 (69.7) 23 (100.0) *Median. **Currently in care. Conclusion Patients with acute HIV infection can be successfully managed in existing programs for HIV screening and linkage to care. The xTLC program had a high linkage to care rate, timely initiation of ART, and relatively quick reduction in viral loads. Our outcomes approach those seen for intensive immediate therapy programs, but without additional costs beyond those of the xTLC program. This will likely create similar public health benefits as dedicated programs for rapid initiation of therapy. Disclosures B. Hunt, Gilead: supported by Gilead FOCUS grant, Salary. A. Tobin, Gilead: supported by Gilead FOCUS grant, Salary. A. B. Maheswaran, Gilead: supported by Gilead FOCUS grant, Salary. J. Lin, Gilead: Grant Investigator, Grant recipient. R. Novak, Gilead: Scientific Advisor, Consulting fee. Viiv: Scientific Advisor, Consulting fee. Theratech: Scientific Advisor, Consulting fee. B. Sha, Gilead Sciences: Grant Investigator and Investigator, Grant recipient and Research grant. Viiv Healthcare: Investigator, Research grant. D. Pitrak, Gilead: Grant Investigator, Grant recipient and Research grant. N. Glick, Gilead: Grant Investigator and Scientific Advisor, Grant recipient

Objective To determine whether dengue epidemics are associated with an increase in adverse obstetrical outcomes. Methods Semi-ecological study combining individual data on obstetrical events from the perinatal registry and aggregated exposure data from the epidemiologic surveillance of dengue in Cayenne, French Guiana between 2004 and 2007. Results After adjustment for individual risk factors, analysis showed that an epidemic level of dengue transmission during the first trimester was associated with an increased risk of post-partum haemorrhage and preterm birth. The associated risks seemed to depend on the epidemic level. Conclusions Despite its limitations, this study suggests that dengue in the first trimester may be related to preterm birth and to post-partum bleeding, thus leading to specific hypotheses that should be tested in prospective studies. Objectif Determiner si les epidemies de dengue sont associees a une augmentation des resultats obstetricaux adverses. Methodes Etude semi-ecologique combinant les donnees individuelles sur les evenements obstetricaux du registre perinatal et les donnees d'exposition cumulees, provenant de la surveillance epidemiologique de la dengue a Cayenne, en Guyane francaise entre 2004 et 2007. Resultats Apres ajustement pour les facteurs de risque individuels, l'analyse a montre qu'un niveau epidemique de transmission de la dengue au cours du premier trimestre etait associe a un risque accru d'hemorragie postpartum et de prematurite. Les risques associes semblaient dependre de l'ampleur de l’epidemie. Conclusions Malgre ses limitations, la presente etude suggere que la dengue au cours du premier trimestre peut etre liee a la prematurite et a des saignements postpartum, ce qui conduit a des hypotheses specifiques qui devraient etre testees dans des etudes prospectives. Objetivo Determinar si las epidemias de dengue estan asociadas con un aumento en los resultados obstetricos adversos. Metodos Estudio semiecologico que combina datos individuales sobre eventos obstetricos desde el registro perinatal y datos agregados de exposicion de la vigilancia epidemiologica del dengue en Cayenne, Guayana Francesa entre 2004 y 2007. Resultados Despues de ajustar para factores de riesgo individuales, el analisis mostro que un nivel epidemico de transmision de dengue durante el primer trimestre estaba asociado con un aumento en el riesgo de hemorragias posparto y nacimientos prematuros. El riesgo asociado parece depender del nivel epidemico. Conclusiones A pesar de sus limitaciones, este estudio sugiere que el dengue, en el primer trimestre, podria estar relacionado con el nacimiento prematuro y el sangrado postparto, conllevando a la hipotesis especifica de que deberia evaluarse en estudios prospectivos.

Background Dengue is a mosquito-borne disease that is common in many tropical and subtropical areas. Dengue infections can occur at any age and time in the lifespan, including during pregnancy. Few large scale studies have been conducted to determine the risk of preterm birth (PTB) and low birthweight (LBW) for infants born to women who had symptomatic dengue infection during pregnancy. Methodology/Principal Findings This study is a retrospective cohort study using medical records from 1992–2010 from pregnant women who attended a public regional referral hospital in western French Guiana. Exposed pregnancies were those with laboratory confirmed cases of dengue fever during pregnancy. Each of the 86 exposed infants was matched to the three unexposed births that immediately followed them to form a stratum. Conditional logistic regression was used to analyze these matched strata. Three groups were examined: all infants regardless of gestational age, only infants> = 17 weeks of gestational age and their strata, and only infants> = 22 weeks of age and their strata. Odds ratios were adjusted (aOR) for maternal age, maternal ethnicity, maternal gravidity, interpregnancy interval and maternal anemia. There was an increased risk of PTB among women with symptomatic dengue; (aOR all infants: 3.34 (1.13, 9.89), aOR 17 weeks: 1.89 (0.61, 5.87), aOR 22 weeks: 1.41 (0.39, 5.20)) but this risk was only statistically significant when all infants were examined (p value = 0.03). Adjusted results for LBW were similar, with an increased risk in the exposed group (aOR All infants: 2.23 (1.01, 4.90), aOR 17 weeks: 1.67 (0.71, 3.93), aOR 22 weeks: 1.43 (0.56, 3.70)) which was only statistically significant when all infants were examined (p value = 0.05). Conclusions/Significance Symptomatic dengue infection during pregnancy may increase the risk of PTB and LBW for infants. More research is needed to confirm these results and to examine the role of dengue fever in miscarriage., Author Summary Previous studies have reported that dengue fever during pregnancy may be related to preterm birth and low birthweight among infants. However, few studies have used an appropriate control group to compare the risk of these outcomes for infants whose mothers had dengue fever to infants whose mothers did not. We designed this study to provide information on the amount of risk (odds ratios) and the stability of this risk (confidence intervals) of being born preterm or with low birthweight to a mother with documented dengue infection during the pregnancy. In this study there was an increased risk among pregnant women with symptomatic dengue to deliver infants who are preterm or low birthweight, but both the amount of risk and the stability of this risk were affected by the inclusion or exclusion of miscarriages (infants born before 22 weeks of gestational age) This suggests that women who are pregnant should take extra precautions to avoid dengue infections during pregnancy, since it may cause an early delivery, or the birth of a small infant.

Background Up to 40% of the world's population has been diagnosed with an allergic disease. The most prevalent allergy is to house dust mites. Impermeable mattress covers are often the first treatment in the prevention and decrease of symptoms of allergic disease. Objective To perform a meta-analysis evaluating the effectiveness of impermeable mattress covers in the primary prevention of allergic disease and as a single intervention in the tertiary prevention of allergic disease symptoms. Methods MEDLINE, Embase, Web of Science, and CINAHL were systematically searched for relevant publications. Seven primary prevention trials (n = 3,461) and 17 tertiary prevention trials (n = 1,671) met the inclusion criteria and were included in the review. All article reviews and abstractions were performed in duplicate. Results No significant pooled relative risks were found for the prevention of allergic disease. The pooled relative risks were 0.97 (95% confidence interval [CI] 0.62–1.51) for house dust mite sensitization, 0.92 (95% CI 0.81–1.05) for wheeze, 0.85 (95% CI 0.70–1.02) for asthma, 1.03 (95% CI 0.90–1.19) for allergic rhinitis, and 1.05 (95% CI 0.84–1.32) for allergic dermatitis. Likewise, no significant pooled standardized mean differences were found in the tertiary prevention of symptoms. The pooled standardized mean differences were −0.03 (95% CI −0.15 to 0.09) for peak flow, −0.06 (95% CI –0.32 to 0.20) for asthma symptom score, and −0.39 (95% CI −0.88 to 0.11) for nasal symptom score. A significant effect was seen in the decrease of house mite dust level in the mattress (−0.79, 95% CI −0.98 to −0.60). Conclusion No evidence was found to support the use of impermeable mattress covers in the primary prevention of allergic disease or in the tertiary prevention of allergic disease symptoms.

The authors conducted a meta-analysis of randomized controlled trials to evaluate the association of dietary protein intake with blood pressure. To identify articles published before April 2011, the authors searched electronic databases, conducted a manual bibliography review, and consulted experts in the field. Forty trials (including 3,277 participants in total) met the eligibility criteria and were included. Using a standardized form, 2 investigators independently abstracted data on study design, participant characteristics, and treatment outcomes. Net change estimates were pooled across trials using random-effects models. Compared with carbohydrate, dietary protein intake was associated with significant changes in mean systolic and diastolic blood pressure of -1.76 mm Hg (95% confidence interval (CI): -2.33, -1.20) and -1.15 mm Hg (95% CI: -1.59, -0.71), respectively (both P 's < 0.001). Both vegetable protein and animal protein were associated with significant blood pressure changes of -2.27 mm Hg (95% CI: -3.36, -1.18) and -2.54 mm Hg (95% CI: -3.55, -1.53), respectively, for systolic blood pressure (both P 's < 0.001) and -1.26 mm Hg (95% CI: -2.26, -0.26) and -0.95 mm Hg (95% CI: -1.72, -0.19), respectively, for diastolic blood pressure (both P 's = 0.014). Blood pressure reduction was not significantly different when vegetable protein was compared directly with animal protein. These findings indicate that partially replacing dietary carbohydrate with protein may be important for the prevention and treatment of hypertension.

Lifestyle modifications such as weight loss, increasing physical activity, and reducing alcohol consumption and salt intake have been consistently shown to decrease blood pressure. Less well understood is whether increased dietary protein intake may also reduce blood pressure and the risk of hypertension. We conducted a meta-analysis of randomized controlled trials to assess the hypothesis that increased dietary protein intake decreases systolic and diastolic blood pressure in adults. MEDLINE, EMBASE, Cochrane Library, Web of Science, a registry of soy research trials, bibliography review, and expert consultation were the sources of English and non-English articles published before April 2011. Search terms included randomized controlled trial, blood pressure, dietary proteins, dietary supplements, casein, soy, and meat. Forty randomized controlled trials including 3,277 participants in which amount or source of protein was the only difference between the intervention and comparison groups and that examined blood pressure were included. Using a standardized protocol and data extraction form, two investigators independently abstracted data on study design, participant characteristics, intervention, and treatment outcomes. Net effects of protein on blood pressure were pooled across trials and weighted by the inverse of the variance using random-effects models. Compared to carbohydrate, dietary protein was associated with significant decreases in mean systolic and diastolic blood pressure (95% confidence intervals) of -1.75 (-2.31, -1.19) and -1.16 (-1.60, -0.72) mmHg, respectively (all P