Khera, Rohan

Hypertension presents the largest modifiable public health challenge due to its high prevalence, its intimate relationship to cardiovascular diseases, and its complex pathogenesis and pathophysiology. Low awareness of blood pressure elevation and suboptimal hypertension diagnosis serve as the major hurdles in effective hypertension management. Advances in artificial intelligence in hypertension have permitted the integrative analysis of large data sets including omics, clinical (with novel sensor and wearable technologies), health-related, social, behavioral, and environmental sources, and hold transformative potential in achieving large-scale, data-driven approaches toward personalized diagnosis, treatment, and long-term management. However, although the emerging artificial intelligence science may advance the concept of precision hypertension in discovery, drug targeting and development, patient care, and management, its clinical adoption at scale today is lacking. Recognizing that clinical implementation of artificial intelligence–based solutions need evidence generation, this opinion statement examines a clinician-centric perspective of the state-of-art in using artificial intelligence in the management of hypertension and puts forward recommendations toward equitable precision hypertension care.

Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for improving the diagnosis and management of hypertension. AI technologies, including machine learning tools, could alter the way we diagnose and manage hypertension, with potential impacts for improving individual and population health. The development of successful AI tools in public health and health care systems requires diverse types of expertise with collaborative relationships between clinicians, engineers, and data scientists. Unbiased data sources, management, and analyses remain a foundational challenge. From a diagnostic standpoint, machine learning tools may improve the measurement of blood pressure and be useful in the prediction of incident hypertension. To advance the management of hypertension, machine learning tools may be useful to find personalized treatments for patients using analytics to predict response to antihypertension medications and the risk for hypertension-related complications. However, there are real-world implementation challenges to using AI tools in hypertension. Herein, we summarize key findings from a diverse group of stakeholders who participated in a workshop held by the National Heart, Lung, and Blood Institute in March 2023. Workshop participants presented information on communication gaps between clinical medicine, data science, and engineering in health care; novel approaches to estimating BP, hypertension risk, and BP control; and real-world implementation challenges and issues.

Introduction: Neutropenic diets are commonly prescribed to cancer patients with neutropenia with the intention of reducing rates of infection. These diets are restrictive and are associated with lower patient satisfaction and possibly malnutrition. Further, it is unclear if these restrictive diets are effective in reducing infection. We performed a meta-analysis on the rates of infection reported in trials comparing the neutropenic diet to unrestricted diets in cancer patients with neutropenia. Methods and Materials: A comprehensive database search for all published randomized controlled trials comparing infection rates in cancer patients receiving a neutropenic diet versus an unrestricted diet was performed for all publications in English language from database’s inception until September 12, 2017. The search strategy, study selection, and subsequent analysis adhered to PRISMA guidelines. Random effects modeling was used to obtain pooled relative risks. The primary outcome measure was the rate of infection. Results: Five randomized controlled trials with a total of 388 patients were included in the final analysis. Patients mostly had acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), or sarcoma. Infection was noted in 53.7% patients in the neutropenic diet group, as compared with 50% in the unrestricted diet group. No significant difference in infection rate was observed between the neutropenic diet versus unrestricted diet groups, pooled risk ratio (RR) 1.13 (95% CI, 0.98-1.30; P=0.10). Conclusions: This meta-analysis of randomized controlled trials suggests that the use of neutropenic diet was not associated with decreased risk of infection in neutropenic cancer patients. The continued use of neutropenic diets should be questioned.

We performed a Bayesian network meta‐analysis combining direct and indirect treatment comparisons to assess the comparative effectiveness of pharmacological agents for the treatment of nonalcoholic steatohepatitis (NASH). Through systematic literature review, we identified nine randomized, controlled trials (RCTs) including 964 patients with biopsy‐proven NASH, comparing vitamin E, thiazolidinediones (TZDs), pentoxifylline, or obeticholic acid to one another or placebo. The primary outcome was improvement in fibrosis stage; secondary outcomes were improvement in ballooning degeneration, lobular inflammation, and steatosis. We reported relative risks (RRs) and 95% confidence intervals (CIs) from direct meta‐analysis and 95% credible intervals (CrIs) from Bayesian network meta‐analysis, and used Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria to appraise quality of evidence. Moderate‐quality evidence supports the use of pentoxifylline (RR, 0.26; 95% CrI: 0.05‐1.00) and obeticholic acid (RR, 0.81; 95% CI: 0.70‐0.95) over placebo in improving fibrosis. High‐quality evidence supports the effect of vitamin E, TZDs, and obeticholic acid over placebo in improving ballooning degeneration. All four interventions seemed to have at least moderate‐quality evidence over placebo to improve steatosis. Moderate‐quality evidence supports that TZDs, pentoxifylline, and obeticholic acid decrease lobular inflammation. All the head‐to‐head comparisons were supported by very‐low‐quality evidence except for superiority of TZDs over vitamin E on improving steatosis and lobular inflammation, which had moderate‐quality evidence. Conclusions : Based on direct and network meta‐analysis, pentoxifylline and obeticholic acid improve fibrosis, and vitamin E, TZDs, and obeticholic acid improve ballooning degeneration in patients with NASH. Future comparative trials of combination therapies targeting distinct histological features are warranted. (H epatology 2015;62:1417–1432)