Personalized Medicine and the Treatment of Hypertension

Single nucleotide polymorphism-based biomarker in primary hypertension

Primary hypertension is a multiplex and multifactorial disease influenced by various strong components including genetics. Extensive research such as Genome-wide association studies and candidate gene studies have revealed various single nucleotide polymorphisms (SNPs) related to hypertension, providing insights into the genetic basis of the condition. This review summarizes the current status of SNP research in primary hypertension, including examples of hypertension-related SNPs, their location, function, and frequency in different populations. The potential clinical implications of SNP research for primary hypertension management are also discussed, including disease risk prediction, personalized medicine, mechanistic understanding, and lifestyle modifications. Furthermore, this review highlights emerging technologies and methodologies that have the potential to revolutionize the vast understanding of the basis of genetics in primary hypertension. Gene editing holds the potential to target and correct any kind of genetic mutations that contribute to the development of hypertension or modify genes involved in blood pressure regulation to prevent or treat the condition. Advances in computational biology and machine learning enable researchers to analyze large datasets and identify complex genetic interactions contributing to hypertension risk. In conclusion, SNP research in primary hypertension is rapidly evolving with emerging technologies and methodologies that have the potential to transform the knowledge about genetic basis related to the condition. These advances hold promise for personalized prevention and treatment strategies tailored to an individual's genetic profile ultimately improving patient outcomes and reducing healthcare costs.

Clinicians' perspectives on race-specific guidelines for hypertensive treatment

Despite the general consensus that there is no biological basis to race, racial categorization is still used by clinicians to guide diagnosis and treatment plans for certain diseases. In medicine, race is commonly used as a rough proxy for unmeasured social, environmental, and genetic factors. The American College of Cardiology's Eighth Joint National Committee's (JNC 8) guidelines for the treatment of hypertension provide race-specific medication recommendations for Black versus non-Black patients, without strong evidence for race-specific physiological differences in drug response. Clinicians practicing family or geriatric medicine (n = 21) were shown a video of a mock hypertensive patient with genetic ancestry test results that could be viewed as discordant with their phenotype and self-identified race. After viewing the videos, we conducted in-depth interviews to examine how clinicians value and prioritize different cues about race -- namely genetic ancestry data, phenotypic appearance, and self-identified racial classifications - when making treatment decisions in the context of race-specific guidelines, particularly in situations when patients claim mixed-race or complex racial identities. Results indicate that clinicians inconsistently follow the race-specific guidelines for patients whose genetic ancestry test results do not match neatly with their self-identified race or phenotypic features. However, many clinicians also emphasized the importance of clinical experience, side effects, and other factors in their decision making. Clinicians' definitions of race, categorization of the patient's race, and prioritization of racial cues greatly varied. The existence of the race-specific guidelines clearly influences treatment decisions, even as clinicians' express uncertainty about how to incorporate consideration of a patient's genetic ancestry. In light of widespread debate about removal of race from medical diagnostics, researchers should revisit the clinical justification for maintaining these race-specific guidelines. Based on our findings and prior studies indicating a lack of convincing evidence for biological differences by race in medication response, we suggest removing race from the JNC 8 guidelines to avoid risk of perpetuating or exacerbating health disparities in hypertension.

Heterogeneity in response to treatment across tinnitus phenotypes

The clinical heterogeneity of chronic tinnitus poses major challenges to patient management and prompts the identification of distinct patient subgroups (or phenotypes) that respond more predictable to a particular treatment. We model heterogeneity in treatment response among phenotypes of tinnitus patients concerning their change in self-reported health burden, psychological characteristics, and tinnitus characteristics. Before and after a 7-day multimodal treatment, 989 tinnitus patients completed 14 assessment questionnaires, from which 64 variables measured general tinnitus characteristics, quality of life, pain experiences, somatic expressions, affective symptoms, tinnitus-related distress, internal resources, and perceived stress. Our approach encompasses mechanisms for patient phenotyping, visualizations of the phenotypes and their change with treatment in a projected space, and the extraction of patient subgroups based on their change with treatment. On average, all four distinct phenotypes identified at the pre-intervention baseline showed improved values for nearly all the considered variables following the intervention. However, a considerable intra-phenotype heterogeneity was noted. Five clusters of change reflected variations in the observed improvements among individuals. These patterns of treatment effects were identified to be associated with baseline phenotypes. Our exploratory approach establishes a groundwork for future studies incorporating control groups to pinpoint patient subgroups that are more likely to benefit from specific treatments. This strategy not only has the potential to advance personalized medicine but can also be extended to a broader spectrum of patients with various chronic conditions.

Anti-hypertensive and composition as well as pharmacokinetics and tissues distribution of active ingredients from Alpinia zerumbet

Alpinia zerumbet is a food flavor additive and a traditional medicine herb around the world. Several studies have reported that A. zerumbet has excellent effects on a variety of cardiovascular diseases, but its potential hypertensive applications, and pharmacokinetic features of main active substances have not been fully investigated. The mechanism of anti-hypertension with ethyl acetate extracts of A. zerumbet fruits (AZEAE) was evaluated by L-NNA-induced hypertensive rats and L-NAME-injured human umbilical vein endothelial cells (HUVECs). Blood pressure, echocardiographic cardiac index and H&E staining were used to preliminary evaluate the antihypertensive effect of AZEAE, the levels of TNF-α, IL-6, and IL-1β were evaluated by ELISA, and the proteins expression of IL-1β, IL-18, AGTR1, VCAM, iNOS, EDN1 and eNOS were also evaluated. In addition, isolation, identification, and activity screening of bioactive compounds were carried ou. Next, pharmacokinetics and tissues distribution of dihydro-5,6-dehydrokavain (DDK) in vivo were measured, and preliminary absorption mechanism was conducted with Caco-2 cell monolayers. AZEAE remarkably enhanced the state of hypertensive rats. Twelve compounds were isolated and identified, and five compounds were isolated from this plant for the first time. The isolated compounds also exhibited good resistance against injury of HUVECs. Moreover, pharmacokinetics and Caco-2 cell monolayers demonstrated AZEAE had better absorption capacity than DDK, and DDK exhibited differences in tissues distribution and gender difference. This study was the first to assess the potential hypertensive applications of A. zerumbet in vivo and vitro, and the first direct and concise study of the in vivo behavior of DDK and AZEAE.

CURATE.AI-assisted dose titration for anti-hypertensive personalized therapy: study protocol for a multi-arm, randomized, pilot feasibility trial using CURATE.AI (CURATE.AI ADAPT trial)

Aims

Artificial intelligence-driven small data platforms such as CURATE.AI hold potential for personalized hypertension care by assisting physicians in identifying personalized anti-hypertensive doses for titration. This trial aims to assess the feasibility of a larger randomized controlled trial (RCT), evaluating the efficacy of CURATE.AI-assisted dose titration intervention. We will also collect preliminary efficacy and safety data and explore stakeholder feedback in the early design process.

Methods and results

In this open-label, randomized, pilot feasibility trial, we aim to recruit 45 participants with primary hypertension. Participants will be randomized in 1:1:1 ratio into control (no intervention), home blood pressure monitoring (active control; HBPM), or CURATE.AI arms (intervention; HBPM and CURATE.AI-assisted dose titration). The home treatments include 1 month of two-drug anti-hypertensive regimens. Primary endpoints assess the logistical (e.g. dose adherence) and scientific (e.g. percentage of participants for which CURATE.AI profiles can be generated) feasibility, and define the progression criteria for the RCT in a 'traffic light system'. Secondary endpoints assess preliminary efficacy [e.g. mean change in office blood pressures (BPs)] and safety (e.g. hospitalization events) associated with each treatment protocol. Participants with both baseline and post-treatment BP measurements will form the intent-to-treat analysis. Following their involvement with the CURATE.AI intervention, feedback from CURATE.AI participants and healthcare providers will be collected via exit survey and interviews.

Conclusion

Findings from this study will inform about potential refinements of the current treatment protocols before proceeding with a larger RCT, or potential expansion to collect additional information. Positive results may suggest the potential efficacy of CURATE.AI to improve BP control.

Trial registration number

NCT05376683.

Personalized Medicine in Kidney Disease

The Special Issue "Personalized Medicine in Kidney Disease" is focused on the importance of customized medicine in nephrology as it represents one of the main characteristics of successful therapeutic results [...].

Study on the application effect of the family doctor contract service mode of 'basic package+personalised package' in elderly hypertension management in Chengdu, China: a retrospective observational study

OBJECTIVES

We conducted this study to assess the application effect of the family doctor contract service mode of 'basic package+personalised package' in the management of hypertension patients.

DESIGN

Observational study.

SETTING

The study was conducted at a community health centre in Southwest China. Data were collected from 1 January 2018 to 31 December 2020.

PARTICIPANTS

From 1 January 2018 to 31 December 2020, hypertensive patients (age ≥65 years) who participated in the contract services of family doctors at a community health service centre in Chengdu, Southwest China, were selected as the study subjects.

MAIN OUTCOME MEASURES

The primary outcomes included mean blood pressure (systolic, diastolic) and the rate of blood pressure control, secondary outcomes included the level of cardiovascular disease risk and self-management ability. Assessments of baseline and 6 months after signing up were conducted on all outcomes. The major statistical analysis methods included two independent sample t-tests, paired t-tests, Pearson's χ² test, McNemar's test, two independent sample Mann-Whitney U tests and paired sample marginal homogeneity tests.

RESULTS

Of the 10 970 patients screened for eligibility, 968 (8.8%) were separated into an observation group (receiving 'basic package+personalised package (hypertension)' service) (n=403) and a control group (receiving 'basic package' service) (n=565) according to the type of service package they received. In comparison to the control group, the observation group had lower mean systolic blood pressure (p=0.023), higher blood pressure control rate (p<0.001), lower cardiovascular disease risk level (p<0.001) and higher self-management ability level (p<0.001) at 6 months after signing up. The mean diastolic blood pressure of the two groups was not significantly different (p=0.735).

CONCLUSIONS

The family doctor contract service model of 'basic package+personalised package (hypertension)' has a good application effect in the management of elderly hypertension, which can improve the average blood pressure, the rate of blood pressure control, the level of cardiovascular disease risk and self-management ability of the elderly with hypertension.

The link between immunity and hypertension in the kidney and heart

Hypertension is the primary cause of cardiovascular disease, which is a leading killer worldwide. Despite the prevalence of this non-communicable disease, still between 90% and 95% of cases are of unknown or multivariate cause ("essential hypertension"). Current therapeutic options focus primarily on lowering blood pressure through decreasing peripheral resistance or reducing fluid volume, but fewer than half of hypertensive patients can reach blood pressure control. Hence, identifying unknown mechanisms causing essential hypertension and designing new treatment accordingly are critically needed for improving public health. In recent years, the immune system has been increasingly implicated in contributing to a plethora of cardiovascular diseases. Many studies have demonstrated the critical role of the immune system in the pathogenesis of hypertension, particularly through pro-inflammatory mechanisms within the kidney and heart, which, eventually, drive a myriad of renal and cardiovascular diseases. However, the precise mechanisms and potential therapeutic targets remain largely unknown. Therefore, identifying which immune players are contributing to local inflammation and characterizing pro-inflammatory molecules and mechanisms involved will provide promising new therapeutic targets that could lower blood pressure and prevent progression from hypertension into renal or cardiac dysfunction.

Personalized hypertension treatment recommendations by a data-driven model

BACKGROUND

Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a richer set of patient characteristics.

METHODS

Records from 1/1/2012 to 1/1/2020 at the Boston Medical Center were used, selecting patients with either a hypertension diagnosis or meeting diagnostic criteria (≥ 130 mmHg systolic or ≥ 90 mmHg diastolic, n = 42,752). Models were developed to recommend a class of antihypertensive medications for each patient based on their characteristics. Regression immunized against outliers was combined with a nearest neighbor approach to associate with each patient an affinity group of other patients. This group was then used to make predictions of future Systolic Blood Pressure (SBP) under each prescription type. For each patient, we leveraged these predictions to select the class of medication that minimized their future predicted SBP.

RESULTS

The proposed model, built with a distributionally robust learning procedure, leads to a reduction of 14.28 mmHg in SBP, on average. This reduction is 70.30% larger than the reduction achieved by the standard-of-care and 7.08% better than the corresponding reduction achieved by the 2nd best model which uses ordinary least squares regression. All derived models outperform following the previous prescription or the current ground truth prescription in the record. We randomly sampled and manually reviewed 350 patient records; 87.71% of these model-generated prescription recommendations passed a sanity check by clinicians.

CONCLUSION

Our data-driven approach for personalized hypertension treatment yielded significant improvement compared to the standard-of-care. The model implied potential benefits of computationally deprescribing and can support situations with clinical equipoise.

Effects of amlodipine combined with atorvastatin on Th17/Treg imbalance and vascular microcirculation in hypertensive patients with atherosclerosis: A double-blind, single-center randomized controlled trial

OBJECTIVE

Helper T cells 17 (Th17) and regulatory T cells (Treg), as CD4+T lymphocyte subsets, play an important role in the process of atherosclerosis. However, there are few studies on the regulation and efficacy of atorvastatin combined with amlodipine on Th17/Treg balance in hypertension combined with carotid atherosclerosis. Therefore, this study aims to verify the efficacy and immunomodulatory effects of atorvastatin combined with amlodipine in the treatment of hypertension combined with carotid atherosclerosis.

METHODS

A total of 260 patients with hypertension and carotid atherosclerosis were randomly divided into atorvastatin or combined treatment group. Inflammatory factors and Th17 and Treg levels were detected by enzyme-linked immunosorbent assay and flow cytometry. The messenger ribonucleic acid expression of retinoic acid receptor-related orphan receptor gamma and forkhead spiral transcription factor were detected by real-time quantitative polymerse chain reaction.

RESULTS

We found that the total effective rate in the treatment group was significantly higher than that in the control group. The levels of whole blood high shear viscosity, whole blood low shear viscosity, plasma specific viscosity and fibrin content in the 2 groups were significantly decreased after treatment, and the combined group was significantly lower than the control group (all P < .05). The improvement of endothelial function in the treatment group was also significantly higher than that in the control group (all P < .05). In addition, we found that there were statistically significant differences in Th17 percentage, Treg percentage and Treg/Th17 between the treatment group and the control group (P < .05). The messenger ribonucleic acid levels of retinoic acid receptor-related orphan receptor gamma and forkhead spiral transcription factor showed the same trend. Further detection of Th17-related inflammatory factors showed that the expression of interleukin (IL)-17, IL-6, IL-23 and tumor necrosis factor-α in the treatment group was significantly decreased, which was better than that in the control group (all P < .05).

CONCLUSION

These data indicate that amlodipine combined with atorvastatin can improve Th17/Treg imbalance, vascular endothelial function and efficacy in patients with hypertension and atherosclerosis.

Material basis and integrative pharmacology of danshen decoction in the treatment of cardiovascular diseases

BACKGROUND

Cardiovascular diseases (CVDs) are among the primary and predominant threats to human health with increasing incidence. Danshen Decoction (DSD) as an adjuvant therapy can benefit CVDs patients by improving clinical efficacy.

PURPOSE

The purpose of this study was to identify the active components and potential pharmacological mechanisms of DSD by combining mass spectrometry with a network pharmacology strategy and to review the use of DSD in the treatment of CVDs.

METHOD

First, the composition of DSD was analyzed by ultrahigh-performance liquid chromatography/tandem mass spectrometry (UHPLC-MS/MS). Second, the network pharmacology method was used to elucidate the underlying material basis and possible pharmacological mechanism of DSD for the treatment of CVDs. Finally, clinical and experimental studies on DSD in the past ten years were retrieved from the PubMed and CNKI database, and the content of these studies was used to summarize the latest progress in DSD treatment of CVDs.

OUTCOME

A total of 35 compounds were found in DSD by manual identification from the analysis of MS, which may be the material basis for the therapeutic effect of DSD. After taking the intersection of 2086 targets related to CVDs, these 35 compounds are considered to play a role in the treatment of CVDs through 210 targets including signal transducer and activator of transcription 3 (STAT3), sarcoma (SRC) and phosphoinositide-3-kinase regulatory subunit (PIK3R), and a total of 168 signaling pathways were involved in the regulation of CVDs by DSD, including PI3K-AKT signaling pathway, Alzheimer disease, and Rap1 signaling pathway. A total of 29 clinical studies using DSD in the treatment of CVDs were included in the literature review, and these studies showed the positive significance of DSD as adjuvant therapy, while 14 experimental studies included in the literature review also demonstrated the effectiveness of DSD in the treatment of CVDs.

CONCLUSION

DSD plays a role in the treatment of CVDs through a variety of active ingredients. Large-scale clinical research and more in-depth experimental research will help to further reveal the mechanism of DSD in the treatment of CVDs.

CYP2C9 gen polimorfizmlerinin losartan kullanan hipertansif hastalarda tedavi yanıtı üzerine etkisi

Amaç: Bu çalışmada, anti-hipertansif olarak losartan kullanan hastalarda CYP2C9 polimorfizmlerinin tedavi yanıtı üzerine etkileri incelenmiştir. Yöntemler: Araştırmaya yeni tanı almış, evre 1 esansiyel hipertansiyonu olan 74 hasta dahil edildi. Bu hastalara tedavi öncesi ve losartan başlandıktan altı hafta sonra kan basıncı ölçümleri yapılarak elde edilen kan basıncı düşüşleri kaydedildi. Hastalardan ilk tanı sırasında alınmış olan kan örneklerinden DNA izolasyonu yapılarak CYP2C9 *2 ve *3 polimorfik alelleri için genetik analizler yapıldı. Polimorfik alelleri taşıyan bireyler ile yabanıl tip (wild-type) genotip taşıyıcılarının anti-hipertansif tedavi yanıtları karşılaştırıldı. Bulgular: CYP2C9*1*2 genotipine sahip hastalar, yabanıl tip genotipe sahip hastalar ile kıyaslandığında diyastolik kan basıncı için gruplar arasında istatistiksel açıdan anlamlı fark saptanmazken, sistolik kan basıncındaki düşüşün yabanıl tip genotipe sahip hastalarda daha belirgin olma eğiliminde olduğu görüldü. CYP2C9*1*3 genotipi ise tedavi sonuçlarında anlamlı bir değişikliğe neden olmadı. Sonuç: Bulgularımız, CYP2C9*1*2 polimorfizminin hipertansif hastaların losartan ile tedavisinde sistolik kan basıncı yanıtını etkileyebileceğini düşündürmektedir. Öte yandan, CYP2C9*1*3 genotipinin sistolik veya diyastolik kan basıncı yanıtlarıyla ilişkisi gösterilememiştir. Anahtar kelimeler: Hipertansiyon, losartan, CYP2C9, genetik polimorfizm, farmakogenetik

Response variation as a result of tai chi on resting blood pressure in hypertensive adults: An aggregate data meta-analysis

PURPOSE

Determine if inter-individual response differences (IIRD) are present with respect to tai chi as a treatment for high blood pressure in adults with hypertension.

METHODS

Using the aggregate data meta-analytic approach, seven randomized controlled trials (RCTs) representing 503 hypertensive participants from a recent meta-analysis of tai chi on resting systolic blood pressure (SBP) and diastolic blood pressure (DBP) were included. Tai chi and control group change outcome standard deviations treated as point estimates for both resting SBP and DBP were used to calculate true IIRD from each study. The inverse variance heterogeneity (IVhet) model was used to pool results.

RESULTS

Among adults with hypertension, statistically and clinically significant reductions in resting SBP (X‾, -8.68 mmHg, 95% CI, -9.55 to -7.81) and DBP (X‾, -4.42 mmHg, 95% CI, -5.71 to -3.13) were observed as an effect of practicing tai chi. In the same population, neither statistically nor clinically significant true IIRD was observed for resting SBP (X‾, -0.47 mmHg, 95% CI -5.13 to 5.08) while statistically, but not clinically significant differences were observed for resting DBP (X‾, 1.97 mmHg, 95% CI, 1.02 to 2.60).

CONCLUSIONS

The current findings suggest that while reductions in resting SBP and DBP were observed, a search for potential moderators and mediators for tai-chi-associated changes in resting DBP but not SBP may be warranted. However, a need exists for additional well-designed RCTs, including those from other countries, before a greater level of certainty can be established.

Clinical Network for Big Data and Personalized Health: Study Protocol and Preliminary Results

The use of secondary hospital-based clinical data and electronical health records (EHR) represent a cost-efficient alternative to investigate chronic conditions. We present the Clinical Network Big Data and Personalised Health project, which collects EHRs for patients accessing hospitals in Central-Southern Italy, through an integrated digital platform to create a digital hub for the collection, management and analysis of personal, clinical and environmental information for patients, associated with a biobank to perform multi-omic analyses. A total of 12,864 participants (61.7% women, mean age 52.6 ± 17.6 years) signed a written informed consent to allow access to their EHRs. The majority of hospital access was in obstetrics and gynaecology (36.3%), while the main reason for hospitalization was represented by diseases of the circulatory system (21.2%). Participants had a secondary education (63.5%), were mostly retired (25.45%), reported low levels of physical activity (59.6%), had low adherence to the Mediterranean diet and were smokers (30.2%). A large percentage (35.8%) were overweight and the prevalence of hypertension, diabetes and hyperlipidemia was 36.4%, 11.1% and 19.6%, respectively. Blood samples were retrieved for 8686 patients (67.5%). This project is aimed at creating a digital hub for the collection, management and analysis of personal, clinical, diagnostic and environmental information for patients, and is associated with a biobank to perform multi-omic analyses.

Walking and resting blood pressure: An inter-individual response difference meta-analysis of randomized controlled trials

While walking is associated with reductions in resting SBP and DBP, a lack of true IIRD exists, suggesting that factors other than training response variation (random variation, physiological responses associated with behavioral changes that are not the result of walking) are responsible for the observed variation in resting SBP and DBP.

Inter-individual Response Differences on Resting Blood Pressure as a Result of Qigong in Adults: An Ancillary Meta-Analysis of Randomized Trials

OBJECTIVE

Conduct an ancillary meta-analysis to determine whether true IIRD exist with respect to the effects of qigong on resting SBP and DBP in adults.

METHODS

Data from a meta-analysis representing 370 participants (181 qigong, 189 control) from 7 randomized trials on qigong and resting SBP and DBP in men and women were included. Qigong and control group change outcome standard deviations treated as point estimates for both resting SBP and DBP were used to calculate true IIRD from each study and the inverse variance heterogeneity (IVhet) model was used to pool results.

RESULTS

For participants with essential hypertension, statistically significant and clinically important reductions in resting SBP (X̅, -18.2mmHg, 95% CI, -21.3 to -15.2mmHg) and DBP (X̅, -11.7mmHg, 95% CI, -17.0 to -6.3mmHg) were found. However, true IIRD were neither significant or clinically important for either SBP (X̅, -6.0mmHg, 95% CI, -9.1 to 3.5mmHg) or DBP (X̅, 2.8mmHg, 95% CI, -3.4 to 5.2mmHg). The 95% prediction interval for true IIRD was -11.9 to 8.4mmHg for SBP and -5.8 to 7.0mmHg for DBP.

CONCLUSIONS

While qigong is associated with reductions in resting SBP and DBP in adults with essential hypertension, a lack of true IIRD exists, suggesting that other external factors are responsible for any variation.

Application of vascular endothelial cells in stem cell medicine

Stem cell medicine is gaining momentum in the development of therapy for various end-stage diseases. The search for new seed cells and exploration of their application prospects are topics of interest in stem cell medicine. In recent years, vascular endothelial cells (VECs) have attracted wide attention from scholars. VECs, which form the inner lining of blood vessels, are critically involved in many physiological functions, including permeability, angiogenesis, blood pressure regulation, immunity, and pathological development, such as atherosclerosis and malignant tumors. VECs have significant therapeutic effects and broad application prospects in stem cell medicine for the treatment of various refractory diseases, including atherosclerosis, myocardial infarction, diabetic complications, hypertension, coronavirus disease 2019, and malignant tumors. On the one hand, VECs and their extracellular vesicles can be directly used for the treatment of these diseases. On the other hand, VECs can be used as therapeutic targets for some diseases. However, there are still some obstacles to the use of VECs in stem cell medicine. In this review, advances in the applications and challenges that come with the use of these cells are discussed.

Traditional Chinese Medicine Injections Combined With Antihypertensive Drugs for Hypertensive Nephropathy: A Network Meta-Analysis

Background: Hypertension, a risk factor for cardiovascular events, is often associated with chronic kidney disease. This is called hypertensive nephropathy (HN), which negatively affects physical fitness and body mass, leading to economic burden. Traditional Chinese medicine injections (TCMIs) are common traditional Chinese-patent medicine preparations in China. There was a lack of evidence to prove which TCMIs combine with ADs (TCMIs+ADs) may be a therapeutic option for HN. Thus, we systematically reviewed the efficacy and safety of various TCMIs + ADs in patients with HN.

Methods: We conducted a comprehensive search of PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and VIP information resource integration service platform databases for relevant Chinese- and English-language randomized controlled trials (RCTs) published from database inception until May 2021. Literature screening, data extraction, and quality assessment was performed by two reviewers independently but using the same criteria. We performed the effect modeling to analyze the data for all outcomes and ranked each intervention using the P-score. Furthermore, sensitivity analysis, meta-regression, and funnel plots were used to test the stability, heterogeneity, and publication bias, respectively.

Results: We included 69 RCTs with 6373 patients and including six TCMIs + ADs. Network analysis indicated that the ginkgo leaf extract and dipyridamole combined with ADs (GLED + ADs) was the most efficacious in terms of 24-h urinary protein excretion [mean difference (MD) = −0.70, 95% confidence interval (CI): −0.82 to −0.58; P-score = 1] and systolic blood pressure (MD = −12.95, 95% CI: −21.03 to −4.88; P-score = 0.88), whereas the salvianolate combined with ADs (SA + ADs) showed the highest effectiveness for diastolic blood pressure (MD = −6.88, 95% CI: −10.55 to −3.21; P-score = 0.9). Based on the combined P-score of network meta-analysis results (88% and 85.26%) and sensitivity analysis results (72% and 71.54%), the biplots showed that the GLED + ADs was the most efficacious intervention in all TCMIs + ADs for primary outcomes, followed by the SA + ADs and sodium tanshinone IIA sulfonate combined with ADs (STS + ADs). There was no significant difference in terms of safety between TCMIs + ADs and ADs alone.

Conclusion: Of all the TCMIs + ADs, GLED + ADs, SA + ADs, and STS + ADs may demonstrate a higher efficacy than ADs alone for HN. Weighing with the potential benefits and limitations in methodology, potential heterogeneity and outcomes, we should use various TCMIs with caution in clinical practice. Nevertheless, additional high-quality RCTs are warranted and future research should focus on the clinical value of core outcomes to confirm the effectiveness and safety of TCMIs for HN.

Systematic Review Registration: clinicaltrials.gov, identifier CRD42020205358

Effect of Serum Albumin Changes on Mortality in Patients with Peritoneal Dialysis: A Joint Modeling Approach and Personalized Dynamic Risk Predictions

Peritoneal dialysis (PD) is a frequently used and growing therapy for end-stage renal diseases (ESRD). Survival analysis of PD patients is an ongoing research topic in the field of nephrology. Several biochemical parameters (e.g., serum albumin, creatinine, and blood urea nitrogen) are measured repeatedly in the follow-up period; however, baseline or averaged values are primarily associated with mortality. Although this strategy is not incorrect, it leads to information loss, resulting in erroneous conclusions and biased estimates. This retrospective study used the trajectory of common renal function indexes in PD patients and mainly investigated the association between serum albumin change and mortality. Furthermore, we considered patient-specific variability in serum albumin change and obtained personalized dynamic risk predictions for selected patients at different follow-up thresholds to investigate the effect of serum albumin trajectories on patient-specific mortality. We included 417 patients from the Erciyes University Nephrology Department whose data were retrospectively collected using medical records. A joint modeling approach for longitudinal and survival data was used to investigate the relationship between serum albumin trajectory and mortality of PD patients. Results showed that averaged serum albumin levels were not associated with mortality. However, serum albumin change was significantly and inversely associated with mortality (HR: 2.43, 95% CI: 1.48 to 4.16). Risk of death was positively associated with peritonitis rate, hemodialysis history, and the total number of comorbid and renal diseases with hazard ratios 1.74, 3.21, and 1.41. There was also significant variability between patients. The personalized risk predictions showed that overall survival estimates were not representative for all patients. Using the patient-specific trajectories provided better survival predictions within the follow-up period as more data become available in serum albumin levels. In conclusion, using the trajectory of risk predictors via an appropriate statistical method provided better predictive accuracy and prevented biased findings. We also showed that personalized risk predictions were much informative than overall estimations in the presence of significant patient variability. Furthermore, personalized estimations may play an essential role in monitoring and managing patients during the follow-up period.

Connected Health in Hypertension Management

e-health is defined as the use of communication and information technologies (ICT) to manage patients and their health in a more efficient way, with the aim of improving the overall quality of care. Healthcare services relying on telehealth (or telemedicine) and mobile health (m-health) are the most popular e-health tools used by healthcare professionals and consumers. These applications allow the exchange of medical data between patients and their doctors or among healthcare professionals, mainly through the Internet, and are used to provide healthcare services remotely (so-called "connected health"). The most popular telemedicine application in the field of hypertension is blood pressure telemonitoring (BPT), which enables transmission of BP and various clinical information from patients' homes or from the community to the doctor's surgery or the hospital. Numerous randomized controlled trials have documented a significant BP reduction combined with an intensification and optimization of the use of antihypertensive medications in patients making use of BPT plus remote counseling by a case manager, with the supervision of a doctor or a community pharmacist (telepharmacy). The major benefits of BPT are usually observed in high-risk patients. BPT can also be based on m-health wireless solutions, provided with educational support, medication trackers and reminders, and teleconsultation. In this context, BPT may favor patient's self-management, as an adjunct to the doctor's intervention, and foster patient's participation in medical decision making, with consequent improvement in BP control and increase in medication adherence. In conclusion, e-health solutions, and in particular telemedicine, are increasingly attaining a key position in the management of the hypertensive patient, with an enormous potential in terms of improvement of the quality of the delivered care, increase in the chance of a successful BP control and effective prevention of cardiovascular diseases.

Morphological and histopathological evaluation of autopsied patients with hypertensive cardiopathy

BACKGROUND

Physiopathological processes in hypertensive heart disease are controlled by complex interactions between cardiomyocytes, extracellular matrix, microvasculature and other cells present in the myocardium.

OBJECTIVE

To analyze morphological changes in hypertensive cardiopathy and to describe and compare findings in order to help clarify determinant factors.

METHODS

42 fragments of the left ventricular myocardium and circumflex branch of the left coronary artery were obtained from individuals autopsied at the Clinical Hospital of the Federal University of Triângulo Mineiro (UFTM) in the period ranging from 1984 to 2018. Groups were split into individuals with hypertensive heart disease (HD) and individuals without heart disease (ND). Wall thickness was measured with a digital caliper and Computed Tomography. Quantification of collagen fibers was conducted by computerized morphometry and mast cell density was assessed by immunohistochemical methods.

RESULTS

There was a significant increase of heart weight in the HD group compared to the ND group, (p = 0.0002). There was a significant increase of thickness of the middle third of the free wall in the HD group compared to the ND group, (p = 0.04). There was a significant increase of collagen fibers in the left ventricle in the HD group compared to the ND group, (p < 0.0001). Concerning mast cell density, there was a significant increase in the left ventricle of individuals with HD immuno-labeled by the set anti-chymase/anti-tryptase (p < 0.0001). There was a significant increase of mast cell density in the circumflex branch of the left coronary artery of individuals with HD immuno-labeled by the set anti-chymase/anti-tryptase (p = 0.01).

CONCLUSIONS

Mast cells are involved in the development of hypertensive heart disease, contributing to the remodeling of collagen fibers in this disease.