Investigation Patterns and the Apparent Epidemiology of Hypertension‐Mediated Organ Damage

Dear Editor, We read with great interest the recent article by Bui et al. evaluating the influence of diagnostic testing patterns on the detected burden of hypertension-mediated organ damage (HMOD) in hospitalized hypertensive patients 1. The authors should be acknowledged for simultaneously reporting investigation completion rates and detection yields across multiple organ systems, which represents an important contribution to understanding real-world implementation gaps in guideline-recommended HMOD screening. Their findings highlight that selective utilization of extended investigations may substantially shape the apparent epidemiology of organ damage in tertiary-care settings. An important issue that deserves further consideration concerns the interpretation of reported detection rates in the context of selective referral patterns. Because several investigations, including quantitative albuminuria testing, brain imaging, and vascular ultrasonography, were performed only in subsets of patients, the observed frequencies likely reflect diagnostic yield rather than population-level prevalence. This distinction is particularly relevant since albuminuria and subclinical vascular injury are established predictors of cardiovascular outcomes and should ideally be systematically evaluated rather than selectively assessed according to physician discretion 2. Consequently, incomplete implementation of recommended screening strategies may lead to underestimation of the true burden of microvascular and vascular injury in hospitalized hypertensive populations. Another methodological aspect relates to the absence of multivariable modeling to adjust for potential confounding clinical characteristics. Although the exploratory nature of the study was acknowledged, adjustment for age, diabetes, chronic kidney disease, and baseline cardiovascular disease status could have provided additional insight into independent determinants of organ-specific HMOD detection. Prior observational studies have demonstrated that multiple cardiometabolic variables interact to influence the prevalence and prognostic significance of target organ damage, underscoring the importance of multivariable approaches in cross-sectional analyses evaluating organ injury patterns 3. The reliance on admission blood pressure values as the principal hemodynamic parameter also warrants discussion. Single-time-point measurements obtained during hospitalization may not accurately reflect long-term blood pressure exposure and may therefore show limited correlation with structural and microvascular injury. Ambulatory blood pressure monitoring and longitudinal blood pressure indices have consistently demonstrated stronger associations with HMOD and cardiovascular risk compared with office-based measurements alone, suggesting that incorporation of out-of-office blood pressure parameters could further refine interpretation of organ damage burden in similar cohorts 4. Finally, the exclusive inclusion of hospitalized patients from a tertiary referral cardiology center may limit generalizability to outpatient or community-based hypertensive populations. Hospitalized individuals typically represent a higher-risk subgroup with a greater prevalence of comorbidities and more advanced disease stages, which may influence both investigation utilization patterns and detection rates of organ damage. Population-based data indicate that systematic screening strategies across broader hypertensive cohorts reveal substantially different distributions of HMOD phenotypes, emphasizing the importance of contextualizing findings within the studied clinical setting 5. Future prospective studies incorporating standardized screening protocols across diverse clinical environments may help clarify the true epidemiology of HMOD and optimize implementation strategies in routine hypertension care. Sincerely, All of the authors contributed planning, writing, and revision. This work did not receive any specific funding. The author declares no conflicts of interest. No new data was generated or analyzed in support of this letter to the editor.