A new method of screening for diabetic neuropathy using laser Doppler and photoplethysmography

COMPARING STAGES OF DIABETIC RETINOPATHY WITH SYSTEMIC VASCULAR STATUS USING FINGER PHOTOPLETHYSMOGRAPHY

PURPOSE

To evaluate systemic vascular fitness measured by finger photoplethysmography in diabetic retinopathy (DR).

METHODS

This was a cross-sectional observational study on patients with Type II diabetes mellitus from October 2020 to May 2021. Data collected include systolic/diastolic blood pressure, visual acuity, glycated hemoglobin, and central macular thickness. Diabetic retinopathy severity was categorized using the Early Treatment Diabetic Retinopathy Study classification. Photoplethysmography signals were acquired using pulse-oximeter modules (OEM-60; Dolphin Medical, Inc) measured for 90 seconds at 275 Hz sampling rate and 16-bit resolution, which records photoplethysmography fitness index, vascular risk prediction index, and vascular age.

RESULTS

One hundred and forty-one patients were equally distributed into six DR categories. Mean age was 58.8 ± 9.9 years, with female-to-male ratio of 1.27. There were significant differences in mean systolic (125.5 ± 10.0 mmHg, P = 0.007) and diastolic blood pressure (80.0 ± 8.8 mmHg), mean glycated hemoglobin (7.6 ± 1.9%, P = 0.005), median log unit of minimal angle of resolution (0.3, interquartile range: 0.2-0.5, P < 0.001), and central macular thickness ( P = 0.003) across DR severity. Significant differences were also seen in photoplethysmography fitness index ( P = 0.001), vascular risk prediction index ( P < 0.001), and vascular age ( P = 0.001), with poorer values in severe compared with mild/moderate DR. After adjusting for age, blood pressure, and glycated hemoglobin, photoplethysmography fitness reduces by 3.3% (regression coefficient, b = -3.27, P < 0.001), vascular age increases by 2.5 years ( b = 2.54, P = 0.002), and vascular risk prediction index increases by 3.1 ( b = 3.08, P < 0.001) with every DR worsening.

CONCLUSION

More severe DR stages were associated with poorer photoplethysmography vascular markers.

Investigating the Effectiveness of Electroacupuncture for Diabetic Peripheral Neuropathy and Exploring the Feasibility of Infrared Thermography as an Efficacy Assessment Tool: Study Protocol for a Randomized Controlled Trial

Introduction

Diabetic peripheral neuropathy (DPN) affects patients' quality of life significantly. To date, selecting the appropriate treatment remains challenging. While electroacupuncture (EA) has shown promise as an effective adjunct therapy for DPN, and infrared thermography (IRT) has been considered as a potential predictor of treatment efficacy, the evidence for both remains inconclusive. As such, the objectives of this trial are twofold: to ascertain the efficacy of EA for DPN, and to explore the feasibility of IRT as an adjunctive objective tool for efficacy assessment.

Methods

The study was designed as a randomized, parallel, controlled trial. It spanned over 6 weeks of treatment and an additional 4 weeks of follow-up. 104 eligible participants will be stratified for severity of disease: mild with Toronto clinical scoring system(TCSS) score 6-8, moderate (TCSS score 9-11), and severe (TCSS score 12-19), and each level will be randomised in a 1:1 ratio into a EA group and waiting-list group. The waiting-list group received only the current conventional medication, while the EA group received an additional 12 EA sessions on top of the conventional medication. The primary outcome indicators is nerve conduction velocity (NCV), which will be tested at the baseline and week 6. Total clinical efficiency, TCSS, Clinical symptoms score of Traditional Chinese Medicine (TCM), Patient global impression of change(PGIC), Temperature of regions of interest (ROIs), and Physico chemical examination will be used as secondary outcome indicators. In addition, safety assessment will be determined based on adverse events during the trial.

Conclusion

The expected results of this study will determine whether EA improves efficacy in the treatment of DPN with an acceptable safety profile, and investigating variations in the efficacy of EA across different levels of DPN severity. Furthermore, it will explore the viability of IRT as an objective measure for evaluating treatment effectiveness for DPN.

Clinical Trial Registration

ClinicalTrials.gov identifier, NCT06054087.

Contactless photoplethysmography for assessment of small fiber neuropathy

Chronic pain is a prevalent condition affecting approximately one-fifth of the global population, with significant impacts on quality of life and work productivity. Small fiber neuropathies are a common cause of chronic pain, and current diagnostic methods rely on subjective self-assessment or invasive skin biopsies, highlighting the need for objective noninvasive assessment methods. The study aims to develop a modular prototype of a contactless photoplethysmography system with three spectral bands (420, 540, and 800 nm) and evaluate its potential for assessing peripheral neuropathy patients via a skin topical heating test and spectral analyses of cutaneous flowmotions. The foot topical skin heating test was conducted on thirty volunteers, including fifteen healthy subjects and fifteen neuropathic patients. Four cutaneous nerve fiber characterizing parameters were evaluated at different wavelengths, including vasomotor response trend, flare area, flare intensity index, and the spectral power of cutaneous flowmotions. The results show that neuropathic patients had significantly lower vasomotor response (50%), flare area (63%), flare intensity index (19%), and neurogenic component (54%) of cutaneous flowmotions compared to the control group, independent of photoplethysmography spectral band. An absolute value of perfusion was 20%-30% higher in the 420 nm band. Imaging photoplethysmography shows potential as a cost-effective alternative for objective and non-invasive assessment of neuropathic patients, but further research is needed to enhance photoplethysmography signal quality and establish diagnostic criteria.

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects of human life. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines 2020. To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain. Along with consolidated research areas, recent topics that are growing in popularity are also discovered. We also highlight the potential impact of using PPG signals on an individual's quality of life and public health. The state-of-the-art studies suggest that in the years to come PPG wearables will become pervasive in many fields of medical practices, and the main domains include cardiology, respiratory, neurology, and fitness. Main operation challenges, including performance and robustness obstacles, are identified.

Abnormal photoplethysmography waveforms are associated with chemotherapy induced neuropathy

Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a dose-dependent adverse event of many chemotherapy agents that affects autonomic, motor, and sensory nerve fibers. The purpose of this study is to describe abnormal photoplethysmography waveforms (PPGs) in the setting of CIPN in cancer patients screened for peripheral arterial disease (PAD), which to our knowledge has not been previously described. Patients and methods: 147 patients who underwent vascular physiologic testing in evaluation for PAD with an ankle brachial index (ABI) or toe brachial index (TBI), segmental pressures, pulse volume recordings, and toe PPGs, in a tertiary cancer center's vascular lab between January 1, 2019 and January 31, 2021 were included in the study. Results: Odds ratio analysis demonstrates 3 times increased odds of abnormal PPGs in patients with PAD (OR 3.2256 95% CI 1.523-6.832, p=0.002), 7 times increased odds of abnormal PPGs in patients with CIPN (OR 7.802 95% CI 3.606-16.880, p<0.001), 9 times increased odds of abnormal PPGs in patients with both CIPN and PAD (9.895 95% CI 2.643-37.043, p=0.001), and 7 times increased odds of abnormal PPGs in patients with chemotherapy agent known to cause CIPN (7.821 95% CI 3.619-16.902, p<0.001). Logistic regression demonstrated that PAD (coefficient 1.171 std. error 0.383 wald 9.354 p=0.002), CIPN (coefficient 2.054 std. error 0.394 wald 27.227 p<0.001), and chemo agent known to cause CIPN (coefficient 2.057 std. error 0.393 wald 27.370 p<0.001) were all predictors of abnormal PPGs. Conclusions: CIPN had greater odds for abnormal PPGs than PAD. Additional larger studies are needed to assess if PPG analysis could be utilized to assess for early diagnosis of CIPN.

ATLS Hypovolemic Shock Classification by Prediction of Blood Loss in Rats Using Regression Models

In our previous study, our input data set consisted of 78 rats, the blood loss in percent as a dependent variable, and 11 independent variables (heart rate, systolic blood pressure, diastolic blood pressure, mean arterial pressure, pulse pressure, respiration rate, temperature, perfusion index, lactate concentration, shock index, and new index (lactate concentration/perfusion)). The machine learning methods for multicategory classification were applied to a rat model in acute hemorrhage to predict the four Advanced Trauma Life Support (ATLS) hypovolemic shock classes for triage in our previous study. However, multicategory classification is much more difficult and complicated than binary classification. We introduce a simple approach for classifying ATLS hypovolaemic shock class by predicting blood loss in percent using support vector regression and multivariate linear regression (MLR). We also compared the performance of the classification models using absolute and relative vital signs. The accuracies of support vector regression and MLR models with relative values by predicting blood loss in percent were 88.5% and 84.6%, respectively. These were better than the best accuracy of 80.8% of the direct multicategory classification using the support vector machine one-versus-one model in our previous study for the same validation data set. Moreover, the simple MLR models with both absolute and relative values could provide possibility of the future clinical decision support system for ATLS classification. The perfusion index and new index were more appropriate with relative changes than absolute values.

Prediction of ATLS hypovolemic shock class in rats using the perfusion index and lactate concentration

It is necessary to quickly and accurately determine Advanced Trauma Life Support (ATLS) hemorrhagic shock class for triage in cases of acute hemorrhage caused by trauma. However, the ATLS classification has limitations, namely, with regard to primary vital signs. This study identified the optimal variables for appropriate triage of hemorrhage severity, including the peripheral perfusion index and serum lactate concentration in addition to the conventional primary vital signs. To predict the four ATLS classes, three popular machine learning algorithms with four feature selection methods for multicategory classification were applied to a rat model of acute hemorrhage. A total of 78 anesthetized rats were divided into four groups for ATLS classification based on blood loss (in percent). The support vector machine one-versus-one model with the Kruskal-Wallis feature selection method performed best, with 80.8% accuracy, relative classifier information of 0.629, and a kappa index of 0.732. The new hemorrhage-induced severity index (lactate concentration/perfusion index), diastolic blood pressure, mean arterial pressure, and the perfusion index were selected as the optimal variables for predicting the four ATLS classes by support vector machine one-versus-one with the Kruskal-Wallis method. These four variables were also selected for binary classification to predict ATLS classes I and II versus III and IV for blood transfusion requirement. The suggested ATLS classification system would be helpful to first responders by indicating the severity of patients, allowing physicians to prepare suitable resuscitation before hospital arrival, which could hasten treatment initiation.

Investigation of photoplethysmographic signals and blood oxygen saturation values on healthy volunteers during cuff-induced hypoperfusion using a multimode PPG/SpO₂ sensor

Photoplethysmography (PPG) is a technique widely used to monitor volumetric blood changes induced by cardiac pulsations. Pulse oximetry uses the technique of PPG to estimate arterial oxygen saturation values (SpO₂). In poorly perfused tissues, SpO₂ readings may be compromised due to the poor quality of the PPG signals. A multimode finger PPG probe that operates simultaneously in reflectance, transmittance and a combined mode called "transreflectance" was developed, in an effort to improve the quality of the PPG signals in states of hypoperfusion. Experiments on 20 volunteers were conducted to evaluate the performance of the multimode PPG sensor and compare the results with a commercial transmittance pulse oximeter. A brachial blood pressure cuff was used to induce artificial hypoperfusion. Results showed that the amplitude of the transreflectance AC PPG signals were significantly different (p < 0.05) than the AC PPG signals obtained from the other two conventional PPG sensors (reflectance and transmittance). At induced brachial pressures between 90 and 135 mmHg, the reflectance finger pulse oximeter failed 25 times (failure rate 42.2 %) to estimate SpO₂ values, whereas the transmittance pulse oximeter failed 8 times (failure rate 15.5 %). The transreflectance pulse oximeter failed only 3 times (failure rate 6.8 %) and the commercial pulse oximeter failed 17 times (failure rate 29.4 %).

Management strategies for gastrointestinal, erectile, bladder, and sudomotor dysfunction in patients with diabetes

There are substantial advances in understanding disordered gastrointestinal autonomic dysfunction in diabetes. It occurs frequently. The underlying pathogenesis is complex involving defects in multiple interacting cell types of the myenteric plexus as well. These defects may be irreversible or reversible. Gastrointestinal symptoms represent a major and generally underestimated source of morbidity for escalating health care costs in diabetes. Acute changes in glycaemia are both determinants and consequences of altered gastrointestinal motility. 35-90% of diabetic men have moderate-to-severe erectile dysfunction (ED). ED shares common risk factors with CVD. Diagnosis is based on medical/sexual history, including validated questionnaires. Physical examination and laboratory testing must be tailored to patient's complaints and risk factors. Treatment is based on PDE5-inhibitors (PDE5-I). Other explorations may be useful in patients who do not respond to PDE5-I. Patients at high cardiovascular risk should be stabilized by their cardiologists before sexual activity is considered or ED treatment is recommended. Estimates on bladder dysfunction prevalence are 43-87% of type 1 and 25% of type 2 diabetic patients, respectively. Common symptoms include dysuria, frequency, urgency, nocturia and incomplete bladder emptying. Diagnosis should use validated questionnaire for lower urinary tract symptoms. The type of bladder dysfunction is readily characterized with complete urodynamic testing. Sudomotor dysfunction is a cause of dry skin and is associated with foot ulcerations. Sudomotor function can be assessed by thermoregulatory sweat testing, quantitative sudomotor axon reflex test, sympathetic skin response, quantitative direct/indirect axon reflex testing and the indicator plaster.

Uric acid levels are associated with microvascular endothelial dysfunction in patients with Type 1 diabetes

AIMS

Recent data identified uric acid as an independent risk factor for cardiovascular disease. The aim of the present study was to assess the association between uric acid and endothelial dysfunction in 57 patients with Type 1 diabetes and 53 healthy control subjects.

METHODS

Microvascular endothelial function was evaluated using laser Doppler perfusion monitoring coupled with pharmacological (iontophoretic administration of acetylcholine and sodium nitroprusside) and physiological (post-occlusive reactive hyperaemia and thermal hyperaemia) stimuli.

RESULTS

Uric acid was higher in subjects without diabetes than in those with diabetes (P = 0.03). Microvascular vasodilator response to acetylcholine was significantly reduced in Type 1 diabetes (P = 0.002) and was correlated to disease duration (r = -0.3, P = 0.01), triglyceride (r = -0.37, P = 0.005), insulin dose (r = -0.28, P = 0.03), fasting plasma glucose levels (r = -0.3, P = 0.02), HbA(1c) (r = -0.34, P = 0.001) and uric acid (r = -0.3, P = 0.005). On stepwise multivariate analysis, age, HbA(1c) and uric acid were the most important independent variables that were associated with the endothelium-dependent response in Type 1 diabetes (P = 0.02).

CONCLUSIONS

Glycaemic control and uric acid in the normal range were the most important contributing factors to the decreasing endothelium-dependent responses associated with Type 1 diabetes. Consequently, uric acid could be a new potential marker of microvascular endothelial dysfunction in these patients. Further studies are required to explore the clinical relevance of the relationship between uric acid levels, oxidative stress and endothelial dysfunction in patients with Type 1 diabetes, as well as whether treatment with uric acid-lowering drugs for slight elevations in uric acid would benefit these patients.

Time domain algorithm for accelerated determination of the first order moment of photo current fluctuations in high speed laser Doppler perfusion imaging

Advances in optical array sensor technology allow for the real time acquisition of dynamic laser speckle patterns generated by tissue perfusion, which, in principle, allows for real time laser Doppler perfusion imaging (LDPI). Exploitation of these developments is enhanced with the introduction of faster algorithms to transform photo currents into perfusion estimates using the first moment of the power spectrum. A time domain (TD) algorithm is presented for determining the first-order spectral moment. Experiments are performed to compare this algorithm with the widely used Fast Fourier Transform (FFT). This study shows that the TD-algorithm is twice as fast as the FFT-algorithm without loss of accuracy. Compared to FFT, the TD-algorithm is efficient in terms of processor time, memory usage and data transport.

Peripheral photoplethysmography variability analysis of sepsis patients

Sepsis is associated with impairment in autonomic regulatory function. This work investigates the application of heart rate and photoplethysmogram (PPG) waveform variability analysis in differentiating two categories of sepsis, namely systemic inflammatory response syndrome (SIRS) and severe sepsis. Electrocardiogram-derived heart period (RRi) and PPG waveforms, measured from fingertips (Fin-PPG) and earlobes (Ear-PPG), of Emergency Department sepsis patients (n = 28) with different disease severity, were analysed by spectral technique, and were compared to control subjects (n = 10) in supine and 80° head-up tilted positions. Analysis of covariance (ANCOVA) was applied to adjust for the confounding factor of age. Low-frequency (LF, 0.04-0.15 Hz), mid-frequency (MF, 0.09-0.15 Hz) and high-frequency (HF, 0.15-0.60 Hz) powers were computed. The normalised MF power in Ear-PPG (MFnu(Ear)) was significantly reduced in severe sepsis patients with hyperlactataemia (lactate > 2 mmol/l), compared to SIRS patients (P < 0.05). Moreover, in a group of normal controls, MFnu(Ear) was not altered by head-up tilting (P > 0.05), suggesting that there may be a link between 0.1 Hz ear blood flow oscillation and tissue metabolic changes in sepsis, in addition to autonomic factors. The study highlighted the value of PPG spectral analysis in the non-invasive assessment of peripheral vascular regulation in sepsis patients, with potential implications in monitoring the progression of sepsis.