ARB might be superior to ACEI for treatment of hypertensive COVID-19 patients

A retrospective prognostic evaluation using unsupervised learning in the treatment of COVID-19 patients with hypertension treated with ACEI/ARB drugs

Introduction

This study aimed to evaluate the prognosis of patients with COVID-19 and hypertension who were treated with angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor B (ARB) drugs and to identify key features affecting patient prognosis using an unsupervised learning method.

Methods

A large-scale clinical dataset, including patient information, medical history, and laboratory test results, was collected. Two hundred patients with COVID-19 and hypertension were included. After cluster analysis, patients were divided into good and poor prognosis groups. The unsupervised learning method was used to evaluate clinical characteristics and prognosis, and patients were divided into different prognosis groups. The improved wild dog optimization algorithm (IDOA) was used for feature selection and cluster analysis, followed by the IDOA-k-means algorithm. The impact of ACEI/ARB drugs on patient prognosis and key characteristics affecting patient prognosis were also analysed.

Results

Key features related to prognosis included baseline information and laboratory test results, while clinical symptoms and imaging results had low predictive power. The top six important features were age, hypertension grade, MuLBSTA, ACEI/ARB, NT-proBNP, and high-sensitivity troponin I. These features were consistent with the results of the unsupervised prediction model. A visualization system was developed based on these key features.

Conclusion

Using unsupervised learning and the improved k-means algorithm, this study accurately analysed the prognosis of patients with COVID-19 and hypertension. The use of ACEI/ARB drugs was found to be a protective factor for poor clinical prognosis. Unsupervised learning methods can be used to differentiate patient populations and assess treatment effects. This study identified important features affecting patient prognosis and developed a visualization system with clinical significance for prognosis assessment and treatment decision-making.

Long-term oral ACEI/ARB therapy is associated with disease severity in elderly COVID-19 omicron BA.2 patients with hypertension

OBJECTIVE

To explore the effects of long-term oral ACEIs/ARBs on the incidence of exacerbation and in-hospital mortality in elderly COVID-19 Omicron BA.2 patients with hypertension, especially patients aged 80 years or older.

MATERIALS AND METHODS

In this retrospective study, patients suffering mild and rcommon COVID-19 with hypertension who were hospitalized in the Shanghai Fourth People's Hospital between April 2022 and June 2022 were enrolled. Primary outcomes included the incidence of exacerbation and in-hospital mortality. Secondary outcomes included the incidence of respiratory failure of patients, use of mechanical ventilation, nucleic acid conversion time (NCT), hospitalization costs, and the temporal trend of the incidence of exacerbations and in-hospital mortality in different age groups. The data were analysed using propensity score weighting (PSW).

RESULTS

In the entire cohort, there were 298 ACEI/ARB users and 465 non-ACEI/ARB users. The ACEI/ARB group showed a lower incidence of exacerbation (OR = 0.64, 95% CI for OR: 0.46-0.89, P = 0.0082) and lower in-hospital mortality (OR = 0.49, 95% CI for OR: 0.27-0.89, P = 0.0201) after PSW. Sensitivity analysis obtained the same results. The results of the subgroup of patients aged 80 years and older obtained a similar conclusion as the whole cohort. Most of the study indicators did not differ statistically significantly in the subgroup of patients aged 60 to 79 years except for rates of mechanical ventilation and respiratory failure.

CONCLUSION

Antihypertensive therapy with ACEIs/ARBs might reduce the incidence of exacerbation and in-hospital mortality. The findings of this study support the use of ACEIs/ARBs in COVID-19 patients infected by Omicron BA.2, especially in patients aged 80 years or older with hypertension.

Advances in Biomarkers for Diagnosis and Treatment of ARDS

Acute respiratory distress syndrome (ARDS) is a common and fatal disease, characterized by lung inflammation, edema, poor oxygenation, and the need for mechanical ventilation, or even extracorporeal membrane oxygenation if the patient is unresponsive to routine treatment. In this review, we aim to explore advances in biomarkers for the diagnosis and treatment of ARDS. In viewing the distinct characteristics of each biomarker, we classified the biomarkers into the following six categories: inflammatory, alveolar epithelial injury, endothelial injury, coagulation/fibrinolysis, extracellular matrix turnover, and oxidative stress biomarkers. In addition, we discussed the potential role of machine learning in identifying and utilizing these biomarkers and reviewed its clinical application. Despite the tremendous progress in biomarker research, there remain nonnegligible gaps between biomarker discovery and clinical utility. The challenges and future directions in ARDS research concern investigators as well as clinicians, underscoring the essentiality of continued investigation to improve diagnosis and treatment.

Beneficial Effects of Angiotensin II Receptor Blockers on Mortality in Patients with COVID-19: A Retrospective Study from 2019 to 2020 in China

BACKGROUND

The COVID-19 pandemic has become a serious global public health problem. Although the use of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor type 1 blockers (ARBs) has been recommended in patients with COVID-19 and cardiovascular diseases (CVDs), according to the results of some small-sample retrospective analyses, there remains a lack of sufficient evidence to validate their efficacy. This multicenter retrospective study investigated whether ACEI/ARB administration was beneficial in patients with COVID-19 and CVDs.

METHODS

A total of 11,231 patients with confirmed COVID-19 and CVDs, from 138 hospitals in Hubei Province, were included in this multicenter retrospective study. We compared the clinical characteristics and outcomes between the ARB and non-ARB groups and analyzed the risk factors for in-hospital death using univariate and multivariate Cox regression analyses and Kaplan-Meier curves.

RESULTS

In the multivariate Cox regression model, after adjusting for age, gender, comorbidities, and in-hospital medications, ARB use was associated with lower all-cause mortality (adjusted HR, 0.53; 95% CI, 0.38-0.73; P < 0.001). After propensity score-matched analysis, the adjusted HR for the use of ARB associated with all-cause mortality was 0.62 (95% CI, 0.40-0.88; P = 0.02). Further subgroup analyses found that the adjusted HRs for the use of ARB associated with all-cause mortality were 0.52 (95% CI, 0.30-0.89; P = 0.016), 0.37 (95% CI, 0.21-0.64; P < 0.001), 0.42 (95% CI, 0.28-0.64; P < 0.001), and 0.55 (95% CI, 0.37-0.84; P = 0.005) in patients with heart failure, diabetes, and hypercholesterolemia, and severe COVID-19, respectively.

CONCLUSIONS

ARB administration was significantly associated with a lower risk of all-cause mortality in patients with COVID-19 and CVDs.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05615792. https://www.

CLINICALTRIALS

gov/ct2/show/NCT05615792.

The Renin-Angiotensin System in COVID-19: Can Long COVID Be Predicted?

(1) Background: Co-morbidities such as hypertension and cardiovascular disease are major risk factors for severe COVID-19. The renin-angiotensin system (RAS) is critically involved in their pathophysiology and is counter-balanced by both angiotensin-converting enzyme 2 (ACE2), the functional receptor of SARS-CoV-2, and the kallikrein-kinin system (KKS). Considerable research interest with respect to COVID-19 treatment is currently being directed towards the components of these systems. In earlier studies, we noticed significantly reduced carboxypeptidase N (CPN, KKS member) activity and excessive angiotensin-converting enzyme (ACE, RAS member) activity in the sera of both hospitalized COVID-19 patients and a subgroup of convalescent patients. The data had been obtained using labeled bradykinin (BK) as a reporter peptide, which is a target of both CPN and ACE. The data were supplemented with mass-spectrometry-based serum proteomic analysis. Here, we hypothesize that the degree of BK serum degradation could be indicative of Long COVID. (2) Review and Discussion: The recent literature is briefly reviewed. The fact that the levels of the BK serum degradation products did not reach normal concentrations in almost half of the patients during convalescences could have been partially due to a dysregulated RAS. (3) Conclusions: Standard tests for routine patient care in Long COVID come often back normal. We suggest that the measurement of selected members of the RAS such as ACE and angiotensin II or the use of our BK degradation assay could identify Long COVID candidates. Clinical studies are required to test this hypothesis.