Reduction In Variability Research Articles

Impact of replacing dune sand with ground date palm on the performance of cement mortar: dispersion analysis

This study investigates the effects of substituting dune sand with ground date palm at varying proportions of 0.5% to 2% on the mechanical and thermal properties of cement mortar. The findings indicate that this substitution enhances both the thermal and mechanical performance of the mortar, thereby improving its insulation capabilities. Notably, significant variations in compressive strength are observed, particularly at an early age of 7 days, with a reduction in variability as the mortar matures. Additionally, a high dispersion in measurement results is recorded. The application of the Weibull model facilitates the quantification of this variability and the assessment of material reliability, emphasizing the necessity of considering these fluctuations in the evaluation of sustainable construction materials. This approach not only underscores the potential of utilizing ecological resources but also paves the way for innovative practices in the construction sector. Overall, the study highlights the promising implications of incorporating alternative materials for enhancing the performance and sustainability of cement-based composites.

Information provision and financial incentives in Catalonia's public primary care (2010–2019): an interrupted time series analysis

The relative efficacy of information provision versus financial incentives in improving primary care quality remains a critical, unresolved question. We investigated these two strategies in Catalonia's public primary care system from 2010 to 2019: an innovative online platform providing real-time quality indicator information and targeted economic incentives for achieving indicator goals. We conducted a comprehensive interrupted time series regression analysis on data from 272 primary care practices (5,628,080 patients). This analysis used linear regression models with Newey-West standard errors, and a sensitivity analysis including logit transformations to address ceiling effects. We evaluated 1) immediate post-intervention changes (step changes) in indicator results and inter-practice variability (coefficient of variation, CV), and 2) shifts in pre-intervention trends (slopes). We scrutinized 39 indicators after rigorous quality control: 23 novel (12 informed, 11 incentivized) and 16 derived from existing incentivized indicators. Robustness checks included 14 consistently incentivized and 10 non-intervened indicators. Overall, we assessed 63 indicators: 18 control, 13 follow-up, 9 quaternary prevention, 7 treatment, 7 diagnosis, 6 screening and 3 vaccination indicators. Informed indicators showed positive impacts in 75% (9/12) of cases, and incentivized indicators in 64% (7/11) of cases. Incentivized indicators displayed improvements in annual trends ranging from 6.66 to 1.25 percentage points, with step changes up to 8.87 percentage points. Information led to step changes ranging from 19.67 to 1.07 percentage points, along with trend improvements between 1.09 and 0.34 percentage points annually. Both interventions were associated with step reductions in variability (up to-0.18 CV reduction) and significant trend improvements. Derived indicators showed limited improvements in results or variability (31%, 5/16), with minor step increases up to 2.22 percentage points. Our findings reveal that information provision alone can match or even surpass the impact of financial incentives in improving care quality and reducing practice variability. This challenges conventional wisdom and offers a cost-effective, scalable approach to primary care quality enhancement, with far-reaching implications for global health policy. European Union, Horizon Europe.

Simultaneous implementation of unrelated tumour sites on the MR Linac: A review of the commissioning process from a radiographer perspective and lessons learned

IntroductionThis work reports on a systematic approach to select MRI sequences, quantify inter-observer image registration variation and determine patient positioning for the clinical implementation of MR-guided adaptive radiotherapy (MRgRT) in patients with oropharyngeal (H&N) and lung cancer. MethodsA total of 30 participants (N=10 H&N and N=10 lung cancer patients and N=10 healthy participants) were scanned on the Elekta Unity Magnetic Resonance Linear Accelerator (MRL). Participant experience questionnaires were used to determine the most appropriate positioning device for lung treatments and tolerability of H&N immobilization devices within the confined MR Linac environment. Visual guided assessments (VGAs) completed by three observers (one oncologist and two radiographers) were used to determine the most suitable tissue weighting (using vendor-provided 3D T1w and T2w sequences) for online image registration. Offline MRI to CT and MRI to MRI rigid registrations were undertaken by nine radiographers using bony and soft tissue matching. Single-factor ANOVA and paired t-tests were utilized to determine the interobserver variation. ResultsBased on oncologist and patient feedback, lung cancer patients would be treated in a vac-bag with their arms by their sides, while H&N cancer patients would be immobilized using a 5-point fixation device and 5-point personalized thermoplastic shell. There was no clear preference for T1w or T2w images in the H&N cohort. However, observers preferred T2w sequences for tumour and organ at risk (OAR) visualization in the lung images. When a bony match was conducted, single-factor ANOVA tests showed no statistically significant differences between all H&N image registration types (p=0.09). For the soft-tissue registrations, T1w-CT and T1w-T1w registrations showed a statistically significant (p=0.01) reduction in inter-observer variability over T2w-CT registrations. Paired t-tests showed no statistically significant differences for bony or soft tissue matches using T1w or T2w sequences to the planning CT in the lung cohorts (p=0.63 and p=0.52, respectively). ConclusionWe describe the systematic approach to the selection of strategies for imaging, immobilization, and online image registration we used for H&N and lung cancer treatments on the MRL. This has facilitated the selection of the most appropriate adaptive MRgRT strategies for treating these sites at our institution.

Extended-Release Lithium Sulfate in Adolescents with Bipolar Disorder: Results from a Longitudinal Prospective Cohort Study.

Objectives: Bipolar disorder (BD) in adolescence often associates with risky conducts, nonsuicidal self-injury (NSSI), and suicidal ideation. Lithium salts represent the first-line choice for BD in youth to manage manic symptoms and prevent both manic and depressive relapses. Our study aimed to assess efficacy and tolerability of extended-release lithium sulfate (ERLS) in youths with BD. Methods: A longitudinal perspective intervention study was thus conducted on a single cohort of 36 patients with BD aged 12-17 years treated with ERLS and followed up for 1 year. ERLS was titrated up to reach optimal plasma concentrations during the 3 months before baseline visit (T0). Then, patients underwent five follow-up visits after 1, 2, 3, 5, and 11 months and were administered with a battery of self- and parent-rated questionnaires and interviews to evaluate, at each timepoint, ERLS-related side effects, manic and depressive symptoms, emotional dysregulation (ED), NSSI and suicidality, and aggressiveness. Regular clinical assessments were also conducted, as well as blood tests, urinalysis, and EKG. Regression models were applied to examine the time course of outcome variables. Results: Twenty-four patients completed the follow-up. Regressions showed a significant reduction of most dependent variables included in the models, including depressive symptoms (β = -0.0006; adj-p = 0.0007), aggressiveness (β = -0.0031; adj-p < 0.0001), ED (β = -0.0002; adj-p = 0.0497), and unstructured suicidal ideation (β = -0.0058; adj-p = 0.0340). Fine distal tremor, increased thirst, and diuresis were among the most frequently reported side effects. Conclusions: Findings from the present study support the use of ERLS as an effective and well-tolerated agent for the management of BD in youth, with a beneficial effect on associated severe symptoms, including NSSI and suicidality.

Defining the Cost of Arthroscopic Rotator Cuff Repair

Background: Rotator cuff repair (RCR) is a frequently performed outpatient orthopaedic surgery, with substantial financial implications for health-care systems. Time-driven activity-based costing (TDABC) is a method for nuanced cost analysis and is a valuable tool for strategic health-care decision-making. The aim of this study was to apply the TDABC methodology to RCR procedures to identify specific avenues to optimize cost-efficiency within the health-care system in 2 critical areas: (1) the reduction of variability in the episode duration, and (2) the standardization of suture anchor acquisition costs. Methods: Using a multicenter, retrospective design, this study incorporates data from all patients who underwent an RCR surgical procedure at 1 of 4 academic tertiary health systems across the United States. Data were extracted from Avant-Garde Health’s Care Measurement platform and were analyzed utilizing TDABC methodology. Cost analysis was performed using 2 primary metrics: the opportunity costs arising from a possible reduction in episode duration variability, and the potential monetary savings achievable through the standardization of suture anchor costs. Results: In this study, 921 RCR cases performed at 4 institutions had a mean episode duration cost of $4,094 ± $1,850. There was a significant threefold cost variability between the 10th percentile ($2,282) and the 90th percentile ($6,833) (p &lt; 0.01). The mean episode duration was registered at 7.1 hours. The largest variability in the episode duration was time spent in the post-acute care unit and the ward after the surgical procedure. By reducing the episode duration variability, it was estimated that up to 640 care-hours could be saved annually at a single hospital. Likewise, standardizing suture anchor acquisition costs could generate direct savings totaling $217,440 across the hospitals. Conclusions: This multicenter study offers valuable insights into RCR cost as a function of care pathways and suture anchor cost. It outlines avenues for achieving cost-savings and operational efficiency. These findings can serve as a foundational basis for developing health-economics models. Level of Evidence: Economic and Decision Analysis Level III. See Instructions for Authors for a complete description of levels of evidence.

Altered parasympathetic outflow and central sensitization response to continuous pain in cyclic vomiting syndrome: a functional magnetic resonance imaging study.

Cyclic vomiting syndrome (CVS) is a disorder of brain-gut interaction characterized by recurrent episodes of nausea and vomiting interspersed with asymptomatic periods and associated with autonomic nervous system dysfunction. We examined the dysautonomic response to noxious stimuli seen in CVS patients using our previously validated approach to integrate peripheral autonomic outflow metrics, temporal summation of pain, and brain fMRI. BOLD fMRI and ECG were acquired from CVS patients and healthy adults during a rest condition and a sustained cuff pressure pain stimulus at the leg. After the latter scan, participants rated pain for the full 6-minute pain stimulus as well as first, middle, and last two-minutes to calculate temporal summation. During sustained pain, patients (n=13) exhibited greater reduction in heart rate variability within the high-frequency range (HF-HRV) and reduced anticorrelation between HF-HRV and fMRI signal in the anterior insula, pregenual anterior cingulate cortex, and ventrolateral and dorsolateral prefrontal cortex relative to healthy adults (n=13). Compared to healthy adults (n=14), patients (n=14) exhibited increasing pain intensity over the course of sustained cuff pressure. Seed-based functional connectivity analysis revealed for healthy adults (n=13), pain sensitization correlated with pain-induced increases in connectivity between primary somatosensory cortex and regions of interest in both left anterior insula/posterior orbitofrontal cortex and right pre-supplementary motor area, while this correlation was disrupted in CVS (n=10). Our results support altered central coding of nociceptive stimuli and autonomic responsivity of CVS patients in key brain regions implicated in autonomic control and interoception.

Trend and Instability Analysis of Milk Prices in Major Markets of India

The growth rate of production and per capita availability of milk and growth rate, variability and convergence/divergence of retail prices of milk in the major consuming markets of India has been examined in this article using annual production and per capita availability of milk data for the period from 1980-81 to 2022-23 and deseasonalised monthly milk retail prices from 1975-76 to 2022-23 was utilized to study the growth rate, variability and convergence/divergence of retail prices of milk. The entire period was further divided into two sub-periods and Compound Annual Growth Rate (CAGR), Coefficient of Variation around the trend and Bandyopadhyay (1989) methodology were applied to examine the growth rate, variability, instability and convergence/divergence of milk retail prices. The study concluded that the production and per capita availability of milk was increasing continuously. The highest average milk retail price was recorded in Delhi market during TE2022. The growth rate of milk retail prices were increased in Delhi and Kolkata markets while in Mumbai and Chennai markets, it was reduced from sub-period I to sub-period II. The variability of milk retail prices were reduced from sub-period I to sub-period II in all the selected markets. The Mumbai market exhibited highest reduction in variability in milk retail prices while the Chennai market showed lowest reduction in retail price of milk from sub-period I to sub-period II. The positive and negative deviation trend lines were diverging during sub-period I while they were converging during sub-period II. This indicated that instability of milk retail price was reducing during sub-period II. The reduction of variability and instability in milk retail prices was caused by the increased production and per capita availability of milk, increased milk processing capacity and improvement in marketing infrastructure in the recent time.

Improving the non-ST-segment elevation acute coronary syndrome (NSTEACS) pathway using quality improvement methodology

BackgroundThe National Institute for Health and Care Excellence (NICE) guideline quality standard for non-ST-segment elevation acute coronary syndrome (NSTEACS) pathway states that adults who have an intermediate or higher risk...

Word order change in German infinitival complementation

Abstract The present article discusses whether processing factors might play a role in the reduction of word order variability in German infinitival complements of control verbs, connecting evidence from a diachronic corpus study to processing considerations and psycholinguistic findings. We show that intraposition, a linearization pattern that has been claimed to be costly in comprehension due to both center-embedding and temporary ambiguity, became less frequent in language use over time. Findings from language production experiments show that present-day German speakers avoid producing intraposition patterns even following repeated exposure to this pattern. Taken together, our findings are consistent with the hypothesis that processing factors can influence the distribution of word order variants. Looking at the diachronic dimension, however, reveals that the effect of processing factors can be modulated by sociolinguistic factors and the impact of language modality.

Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study

The sizing of solar energy power plants is usually made using typical meteorological years, which disregards the inter-annual variability of the solar resource. Nevertheless, such variability is crucial for the bankability of these projects because it impacts on the production goals set at the time of the supply agreement. For that reason, this study aims to fill the gap in the existing literature and analyse the impact that solar resource variability has on solar power plant production as applied to the case of Portugal (southern Europe). To that end, 17 years (2003–2019) of meteorological data from a network of 90 ground stations hosted by the Portuguese Meteorological Service is examined. Annual capacity factor regarding photovoltaic (PV) and concentrating solar power (CSP) plants is computed using the System Advisor Model, used here for solar power performance simulations. In terms of results, while a long-term trend for increase in annual irradiation is found for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI), 0.4148 and 3.2711 kWh/m2/year, respectively, consistent with a solar brightening period, no corresponding trend is found for PV or CSP production. The latter is attributed to the long-term upward trend of 0.0231 °C/year in annual average ambient temperature, which contributes to PV and CSP efficiency reduction. Spatial analysis of inter-annual relative variability for GHI and DNI shows a reduction in variability from the north to the south of the country, as well as for the respective power plant productions. Particularly, for PV, inter-annual variability ranges between 2.45% and 12.07% in Faro and Santarém, respectively, while higher values are generally found for CSP, 3.71% in Faro and 16.04% in São Pedro de Moel. These results are a contribution to future instalments of PV and CSP systems in southern Portugal, a region with very favourable conditions for solar energy harvesting, due to the combination of high production capacity and low inter-annual variability.

Variability Reduction in NIRS Measurements for Reliable TBI Patient Monitoring

Variability Reduction in NIRS Measurements for Reliable TBI Patient Monitoring

Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Background/Objectives: Clinical trials frequently employ diverse terminologies and definitions to describe similar outcomes, leading to ambiguity and inconsistency in data interpretation. Addressing the variability in clinical outcome reports and integrating semantically similar outcomes is important in healthcare and clinical research. Variability in outcome reporting not only hinders the comparability of clinical trial results but also poses significant challenges in evidence synthesis, meta-analysis, and evidence-based decision-making. Methods: This study investigates variability reduction in outcome measures reporting using rule-based and large language-based models. It aims to mitigate the challenges associated with variability in outcome reporting by comparing these two models. The first approach, which is rule-based, will leverage well-known ontologies, and the second approach exploits sentence-bidirectional encoder representations from transformers (SBERT) to identify semantically similar outcomes along with Generative Pre-training Transformer (GPT) to refine the results. Results: The results show that the relatively low percentages of outcomes are linked to established rule-based ontologies. Analysis of outcomes by word count highlighted the absence of ontological linkage for three-word outcomes, which indicates potential gaps in semantic representation. Conclusions: Employing large language models (LLMs), this study demonstrates its ability to identify similar outcomes, even with more than three words, suggesting a crucial role in outcome harmonization efforts, potentially reducing redundancy and enhancing data interoperability.

Decreased variability in the site-specific results during participation in the External Quality Assurance Program Oversight Laboratory (EQAPOL) proficiency program for IFN-gamma enzyme-linked immunospot (IFN-γ ELISpot) assay

The NIAID DAIDS-sponsored External Quality Assurance Program Oversight Laboratory (EQAPOL) manages an interferon-gamma (IFN-γ) enzyme-linked immunospot (ELISpot) external proficiency program. The ELISpot program evaluates the accuracy and variability of results across laboratories. The variability in the program is quantified via the dispersion, which is the ratio of the variance over the mean of the background-corrected spot-forming cells (SFC) replicates obtained under stimulation with different peptide pools (CMV, CEF). This report includes the longitudinal analysis of the ELISpot program cohort composed of 22 laboratories from 2011 to 2022 to assess whether the within-lab variability has improved over time. Random intercept models of the dispersion over time showed a significant decrease in overall dispersion from an average of approximately 1.8 in 2011 to approximately 1.25 in 2022. Out of the 21 sites, 16 sites (4 being statistically significant) had a negative trend for dispersion over time. Our finding of a reduction of overall within-lab variability demonstrates the need for and benefit of proficiency testing programs.

Hygrothermal and mechanical characterization of novel hemp-lime composites with enhanced consistency

Hemp-lime composites have captured attention in the construction industry due to their sustainability and excellent hygrothermal performance. However, variability and inconsistent performance have hindered their widespread adoption. This research introduces a novel approach to improve the uniformity and hygrothermal characteristics, aiming for reproducibility and consistency comparable to traditional insulation materials. This method included (1) reducing hemp particle size to coarse (1.33 mm), medium (0.92 mm), and fine (0.72 mm) particles; (2) maximizing the hemp proportion to 70 % by weight; and (3) standardizing dry density using vibration techniques. The findings indicate dry density variability reduction in all samples, with a coefficient of variation ranging from 0.16 % to 2.36 %. The hygrothermal analysis demonstrates enhanced insulation and moisture-buffering properties, along with reduced directional disparity in thermal conductivity (1.2–6.8 %) compared to the control sample, particularly in samples with fine particle sizes. Thermal conductivity was within the range of 0.0535–0.0667 W/m K, considerably lower than previously reported values. Also, a positive correlation is observed between moisture-buffering and hemp ratio, indicating that higher hemp ratios in the composite lead to increased moisture capacity, with moisture buffer values of 2.47, 2.28, and 2.12 g/m² RH corresponding to the binder-to-hemp ratio of 30:70, 40:60, and 50:50 by weight, respectively.

Leveraging belief uncertainty for informed decision making in software product line evolution

Software Product Lines (SPL) are not static software artifacts, but they evolve over time. The planning, realization, and release of a SPL requires many high-level decisions involving many different stakeholders with different expertise. Taking their opinions into account to make the right decisions is not trivial. Currently there are no mechanisms to assist stakeholders in the decision making process in an informed manner. In this paper, we propose the use of belief uncertainty in conjunction with feature models to assist in the evolution of SPLs by explicitly quantifying opinions and their associated uncertainty. We present a novel approach in which subjective logic is used to represent the opinions of stakeholders in three evolution scenarios, namely feature model evolution, next release problem and variability reduction. We apply our approach to the evolution of the Xiaomi MiBand SmartWatch SPL over the time period from July 2014 to October 2023. We present an implementation of our approach and evaluate its scalability.

Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery

The increasing complexity of modern mechanical systems, especially rotating machinery, demands effective condition monitoring techniques, particularly deep learning, to predict potential failures in a timely manner and enable preventative maintenance strategies. Health monitoring data analysis, a widely used approach, faces challenges due to data randomness and interpretation difficulties, highlighting the importance of robust data quality analysis for reliable monitoring. This paper presents a two-part approach to address these challenges. The first part focuses on comprehensive data preprocessing using only feature scaling and selection via random forest (RF) algorithm, streamlining the process by minimizing human intervention while managing data complexity. The second part introduces a Recurrent Expansion Network (RexNet) composed of multiple layers built on recursive expansion theories from multi-model deep learning. Unlike traditional Rex architectures, this unified framework allows fine tuning of RexNet hyperparameters, simplifying their application. By combining data quality analysis with RexNet, this methodology explores multi-model behaviors and deeper interactions between dependent (e.g., health and condition indicators) and independent variables (e.g., Remaining Useful Life (RUL)), offering richer insights than conventional methods. Both RF and RexNet undergo hyperparameter optimization using Bayesian methods under variability reduction (i.e., standard deviation) of residuals, allowing the algorithms to reach optimal solutions and enabling fair comparisons with state-of-the-art approaches. Applied to high-speed bearings using a large wind turbine dataset, this approach achieves a coefficient of determination of 0.9504, enhancing RUL prediction. This allows for more precise maintenance scheduling from imperfect predictions, reducing downtime and operational costs while improving system reliability under varying conditions.

Characterization of the Anisotropic Electrical Properties of Additively Manufactured Structures Made from Electrically Conductive Composites by Material Extrusion.

Additive manufacturing (AM) of components using material extrusion (MEX) offers the potential for the integration of functions through the use of multi-material design, such as sensors, actuators, energy storage, and electrical connections. However, there is a significant gap in the availability of electrical composite properties, which is essential for informed design of electrical functional structures in the product development process. This study addresses this gap by systematically evaluating the resistivity (DC, direct current) of 14 commercially available filaments as unprocessed filament feedstock, extruded fibers, and fabricated MEX-structures. The analysis of the MEX-structures considers the influence of anisotropic electrical properties induced by the selective material deposition inherent to MEX. The results demonstrate that composites containing fillers with a high aspect ratio, such as carbon nanotubes (CNT) and graphene, significantly enhance conductivity and improve the reproducibility of MEX structures. Notably, the extrusion of filaments into MEX structures generally leads to an increase in resistivity; however, composites with CNT or graphene exhibit less reduction in conductivity and lower variability compared to those containing only carbon black (CB) or graphite. These findings underscore the importance of filler selection and composition in optimizing the electrical performance of MEX structures.

Attention improvement to transcranial alternating current stimulation at gamma frequency over the right frontoparietal network: a preliminary report.

Applying transcranial alternating current stimulation (tACS) at 40 Hz to the frontal and parietal regions, either unilaterally (left or right) or bilaterally, can improve cognitive dysfunctions. This study aimed to explore the influence of tACS at gamma frequency over right fronto-parietal (FP) region on attention. The analysis is based on retrospective data from a clinical intervention. We administered test of variables of attention (TOVA; visual mode) to 44 participants with various neuropsychiatric diagnoses before and after 12 sessions of tACS treatment. Alternating currents at 2.0 mA were delivered to the electrode positions F4 and P4, following the 10-20 EEG convention, for 20 mins in each session. We observed significant improvement across 3 indices of the TOVA, including reduction of variability in reaction time (p = 0.0002), increase in d-Prime (separability of targets and non-targets; p = 0.0157), and decrease in commission error rate (p = 0.0116). The mean RT and omission error rate largely remained unchanged. Artificial injection of tACS at 40 Hz over right FP network may improve attention function, especially in the domains of consistency in performance, target/non-target discrimination, and inhibitory control.

Stochastic hazard assessment framework of landslide blocking river by depth-integrated continuum method and random field theory

AbstractLandslide-induced barrier dams pose a threat to the safety of humans, livestock and nearby infrastructures. The efficient assessment of landslide blocking river is crucial for disaster prevention and mitigation solutions. This study proposes a novel stochastic assessment framework to evaluate the landslide blocking river through the prediction of their deposition depths and considering the heterogeneity of shear strength parameters on the potential sliding surface. The depth-integrated continuum method (DICM) is used to simulate the landslide runout process. Using an enhanced Karhunen-Loève expansion (KLE) method, the spatial variations in soil's shear strength parameters are modeled by random fields to incorporate the effects of soil's spatial heterogeneity on the landslide deposition pattern. Subsequently, the multi-response surrogate model is constructed to relate the random field variables to the deposition depths based on extreme gradient boosting (XGBoost). To improve the performance of the surrogate model, principal component analysis (PCA) and sliced inverse regression (SIR) methods are employed for the dimension reduction of output and input variables, respectively. Furthermore, the algorithm for river blockage identification is developed to search for the deposition ridges. To demonstrate the capability of the stochastic assessment framework, an example of the first Baige landslide in Tibet, China is simulated, and the affected region and deposition depths of the landslide are predicted to calculate the probability of river damming. The presented methodology provides a practical means for improving the landslide blocking river prediction and new insights for early warning and risk mitigation.

EFFECT OF TRANSCUTANEOUS IRRADIATION UNDER THE RADIAL ARTERY ON HEMODYNAMIC VARIABLES OF HYPERTENSIVE PATIENTS: DOUBLE BLIND CLINICAL STUDY

Systemic arterial hypertension (SAH) is a multifactorial clinical condition with a high morbidity and mortality rate and low control rates. Although photobiomodulation (PBM) is capable of inducing a photobiological interaction within cells and modifying the micro and macrovascular response in situ, there is a lack of studies demonstrating its systemic effect, especially clinical and placebo-controlled studies. Thus, this study aimed to evaluate the modulatory effects on blood pressure control in hypertensive patients after transcutaneous photobiomodulation of the radial artery. For this purpose, 44 participants were randomly divided into 4 groups, one group irradiated for 60 minutes daily for 5 days, repeating after 20 days with a total of 3 cycles (Group A), and its respective placebo (Group B); The third group was irradiated for 30 minutes daily for 10 days, repeating after 20 days, also totaling 3 cycles (Group C), and its respective placebo (Group D). All participants remained with conventional drug treatment previously instituted. Before the interventions, after each cycle and at the end of them, blood pressure and heart rate were measured. Before and at the end of the interventions, blood samples were collected to measure interleukins 6 and 1beta. Statistical analysis was performed to compare the groups in each phase of the treatment, with α = 0.05. Modulatory effects were evidenced in the control of blood pressure in hypertensive patients after photobiomodulation. Group A showed a better response to the reduction of hemodynamic variables than group C. Multidisciplinary care may have increased adherence to treatment of all participants, including the placebo groups, which also showed a decrease in the values ​​of hemodynamic variables.