Background: Hypertension (HTN) and coronary artery disease (CAD), two common cardiovascular diseases, are often comorbid and interacted. The patients with comorbid CAD and HTN have worse outcomes and prognosis, however, the prevalence remains unclear. In the cross-sectional study, we aimed to explore the prevalence and influence factors of patients with comorbid CAD and HTN in the USA. Methods: Adult patients with comorbid CAD and HTN derived from the National Health and Nutrition Examination Survey (NHANES) database in the 1999-2000 and 2017-2018 cycles were included. Demographic data, physical examination results, laboratory data, and questionnaire data were collected and compared in the two cycles. Subgroup analyses were performed between the elder (≥65 years of age) and middle-young (18-65 years of age) populations. Results: The age-adjusted prevalence of patients with comorbid CAD and HTN increased from 4.22% [1999-2000] to 5.40% [2017-2018] (P=0.006) and the age decreased from 71 [63-79] to 69 [61-77] years (P=0.008). The HTN control rate, the low-density lipoprotein cholesterol (LDL-C) control rate, systolic blood pressure (SBP), and the levels of blood lipids, as well as the use of angiotensin converting enzyme inhibitors/angiotensin receptor blockers (ACEIs/ARBs), β-blockers and statins improved in the 2017-2018 cycle as compared with the 1999-2000 (all P<0.05). On the other hand, the proportions complicated with diabetes mellitus (DM), obesity and chronic kidney disease (CKD), as well as the levels of serum glucose, glycohemoglobin and creatinine increased from the 1999-2000 to 2017-2018 (all P<0.01).Subgroup analyses revealed that the prevalence of middle-young patients with comorbid CAD and HTN increased more than their elder counterparts, while diastolic blood pressure (DBP), pulse, blood lipids and oral medication rates were inferior to the latter. Conclusions:The recent prevalence of patients with comorbid CAD and HTN increased than 20 years ago, mainly caused by more morbid middle-young population. For another, the control of blood pressure (BP) and lipids were favorably affected by increased use of statins, ACEIs/ARBs and β-blockers in these patients.Nevertheless, there is still much room for strengthening medication utilization and intervention of risk factors in future.

Background: Hypertension is a rather common comorbidity among critically ill patients and hospital mortality might be higher among critically ill patients with hypertension (SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg). This study aimed to explore the association between ACEI/ARB medication during ICU stay and all-cause in-hospital mortality in these patients.Methods: A retrospective cohort study was conducted based on data from Medical Information Mart for Intensive Care IV (MIMIC-IV) database, which consisted of more than 40,000 patients in ICU between 2008 and 2019 at Beth Israel Deaconess Medical Center. Adults diagnosed with hypertension on admission and those had high blood pressure (SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg) during ICU stay were included. The primary outcome was all-cause in-hospital mortality. Patients were divided into ACEI/ARB treated and non-treated group during ICU stay. Propensity score matching (PSM) was used to adjust potential confounders. Nine machine learning models were developed and validated based on 37 clinical and laboratory features of all patients. The model with the best performance was selected based on area under the receiver operating characteristic curve (AUC) followed by 5-fold cross-validation. After hyperparameter optimization using Grid and random hyperparameter search, a final LightGBM model was developed, and Shapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance of each feature. The features closely associated with hospital mortality were presented as significant features.Results: A total of 15,352 patients were enrolled in this study, among whom 5,193 (33.8%) patients were treated with ACEI/ARB. A significantly lower all-cause in-hospital mortality was observed among patients treated with ACEI/ARB (3.9 vs. 12.7%) as well as a lower 28-day mortality (3.6 vs. 12.2%). The outcome remained consistent after propensity score matching. Among nine machine learning models, the LightGBM model had the highest AUC = 0.9935. The SHAP plot was employed to make the model interpretable based on LightGBM model after hyperparameter optimization, showing that ACEI/ARB use was among the top five significant features, which were associated with hospital mortality.Conclusions: The use of ACEI/ARB in critically ill patients with hypertension during ICU stay is related to lower all-cause in-hospital mortality, which was independently associated with increased survival in a large and heterogeneous cohort of critically ill hypertensive patients with or without kidney dysfunction.