Pharmacogenomic panel testing provides insight and enhances medication management in people with HIV.

OBJECTIVE: Our study aimed to assess the impact of pharmacogenomic panel testing in people with HIV (PWH). DESIGN: Prospective, observational intervention assessment. METHODS: One hundred PWH were provided a comprehensive pharmacogenomic panel during routine care visits within the HIV specialty clinic of a large academic medical center. The panel determined the presence of specific genetic variants that could predict response or toxicity to commonly prescribed antiretroviral therapy (ART) and non-ART medications. An HIV specialty pharmacist reviewed the results with participants and the care team. The pharmacist (1) recommended clinically actionable interventions based on the participants' current drug therapy, (2) assessed for genetic explanations for prior medication failures, adverse effects, or intolerances, and (3) advised on potential future clinically actionable care interventions based on individual genetic phenotypes. RESULTS: Ninety-six participants (median age 53 years, 74% white, 84% men, 89% viral load <50 copies/ml) completed panel testing, yielding 682 clinically relevant pharmacogenomic results (133 major, 549 mild-moderate). Ninety participants (89 on ART) completed follow-up visits with 65 (72%) receiving clinical recommendations based on current medication profiles. Of the 105 clinical recommendations, 70% advised additional monitoring for efficacy or toxicity, and 10% advised alteration of drug therapy. Panel results offered explanation for prior ART inefficacy in one participant and ART intolerance in 29%. Genetic explanation for non-ART toxicity was seen in 21% of participants, with genetic contributors to inefficacy of non-ART therapy identified in 39% of participants. CONCLUSION: Preliminary data in a small cohort of PWH demonstrates benefit of routine pharmacogenomic panel testing.

Influence of Human Immunodeficiency Virus Infection on the Management and Outcomes of Acute Myocardial Infarction With Cardiogenic Shock.

BACKGROUND: There are limited data on the outcomes of acute myocardial infarction-cardiogenic shock (AMI-CS) in patients with HIV infection and AIDS. SETTING: Twenty percent sample of all US hospitals. METHODS: A retrospective cohort of AMI-CS during 2000-2017 from the National Inpatient Sample was evaluated for concomitant HIV and AIDS. Outcomes of interest included in-hospital mortality and use of cardiac procedures. A subgroup analysis was performed for those with and without AIDS within the HIV cohort. RESULTS: A total 557,974 AMI-CS admissions were included, with HIV and AIDS in 1321 (0.2%) and 985 (0.2%), respectively. The HIV cohort was younger (54.1 vs. 69.0 years), more often men, of non-White race, uninsured, from a lower socioeconomic status, and with higher comorbidity (all P < 0.001). The HIV cohort had comparable multiorgan failure (37.8% vs. 39.0%) and cardiac arrest (28.7% vs. 27.4%) (P > 0.05). The cohorts with and without HIV had comparable rates of coronary angiography (70.2% vs. 69.0%; P = 0.37) but less frequent early coronary angiography (hospital day zero) (39.1% vs. 42.5%; P < 0.001). The cohort with HIV had higher unadjusted but comparable adjusted in-hospital mortality compared with those without [26.9% vs. 37.4%; adjusted odds ratio 1.04 (95% confidence interval: 0.90 to 1.21); P = 0.61]. In the HIV cohort, AIDS was associated with higher in-hospital mortality [28.8% vs. 21.1%; adjusted odds ratio 4.12 (95% confidence interval: 1.89 to 9.00); P < 0.001]. CONCLUSIONS: The cohort with HIV had comparable rates of cardiac procedures and in-hospital mortality; however, those with AIDS had higher in-hospital mortality.

Evaluating clinicians' user experience and acceptability of LearnTB, a smartphone application for tuberculosis in India.

BACKGROUND: Tuberculosis (TB) is the leading infectious killer, and India accounts for 2.8 of the 10.4 million TB cases that occur each year, making it the highest TB burden country worldwide. Poor quality of TB care is a major driver of the epidemic in India. India's large private, unregulated sector manages over 50% of the TB patients, with studies showing suboptimal diagnosis and treatment in the private sector. Better education of doctors using mobile applications (apps) is a possible solution. While India has seen an explosion of mobile phone services, and while the use of mobile health interventions has been gaining interest, little is known about mHealth around tuberculosis in India. METHODS: Our study aimed to understand the user experience and acceptability of a smartphone application, LearnTB, amongst private sector academic clinicians in India. This study was conducted amongst 101 clinicians at Kasturba Hospital, Manipal, India. The user experience of participants (part 1) and acceptability (part 2) were evaluated with the use of two valid, English, paper-based questionnaires. The first questionnaire was based on the System Usability Scale (SUS); the second questionnaire was based on the Technology Acceptance Model (TAM). Data were collected during February and March 2017 and were analyzed using descriptive statistics, multiple linear regression as well as logistic regression analysis. RESULTS: A response rate of 99% was achieved; 100 participants responded to the second questionnaire and 100% of the participants responded to the first questionnaire. User experience was very high [mean SUS score =94.4 (92.07-96.76)]. Perceived usefulness (PU) was significantly correlated to intention to use (IU) (r=0.707, P<0.0001), and perceived ease of use (PEU) was significantly correlated to PU (r=0.466, P<0.0001). Path analysis confirmed the direct relationship between PU and IU (0.936, P<0.0001), and the indirect relationship between PEU and IU (0.5102, P<0.0001). Logistic regression analysis helped target items strongly influencing IU, such as "The use of the LearnTB application is compatible with my work habits" [OR =3.20 (1.04-9.84), P=0.004] and "The use of the LearnTB application could promote good clinical practice" [OR =5.23 (1.35-20.29); P=0.016]. CONCLUSION: The first part of the study indicated high user experience of the LearnTB application. The TAM questionnaire (second part) explained a significant portion of the variance in clinicians' IU the LearnTB application. The PU of the application has the highest impact on the clinicians' IU the Learn TB application. This study provides a preliminary analysis of mobile health interventions for tuberculosis in India, and emphasizes the need for future research in this domain.

Digital health for the End TB Strategy: developing priority products and making them work.

In 2014, the World Health Organization (WHO) developed the End TB Strategy in response to a World Health Assembly Resolution requesting Member States to end the worldwide epidemic of tuberculosis (TB) by 2035. For the strategy's objectives to be realised, the next 20 years will need novel solutions to address the challenges posed by TB to health professionals, and to affected people and communities. Information and communication technology presents opportunities for innovative approaches to support TB efforts in patient care, surveillance, programme management and electronic learning. The effective application of digital health products at a large scale and their continued development need the engagement of TB patients and their caregivers, innovators, funders, policy-makers, advocacy groups, and affected communities.In April 2015, WHO established its Global Task Force on Digital Health for TB to advocate and support the development of digital health innovations in global efforts to improve TB care and prevention. We outline the group's approach to stewarding this process in alignment with the three pillars of the End TB Strategy. The supplementary material of this article includes target product profiles, as developed by early 2016, defining nine priority digital health concepts and products that are strategically positioned to enhance TB action at the country level.

SARS: epidemiology, clinical presentation, management, and infection control measures.

Severe acute respiratory syndrome (SARS) is a recently recognized febrile respiratory illness that first appeared in southern China in November 2002, has since spread to several countries, and has resulted in more than 8000 cases and more than 750 deaths. The disease has been etiologically linked to a novel coronavirus that has been named the SARS-associated coronavirus. It appears to be spread primarily by large droplet transmission. There is no specific therapy, and management consists of supportive care. This article summarizes currently available information regarding the epidemiology, clinical features, etiologic agent, and modes of transmission of the disease, as well as infection control measures appropriate to contain SARS.