Search Results (5,480)

Marine envenomations are common non-infectious hazards for travelers. Lionfish, venomous fish native to Indo-Pacific waters, have become an invasive species in the Atlantic Ocean and threat to native marine ecosystems. Various control measures have been implemented in response to rapidly expanding lionfish populations, including licensed culling by recreational divers. We herein review lionfish envenomation through framing with a case that occurred during a diving trip to Curacao for the purpose of lionfish spearfishing. Following initial management in Curacao with hot water immersion, wound care, and antibiotic prophylaxis, the patient continued to have persistent swelling, bruising, and pain to the puncture site and was referred to our outpatient clinic for further evaluation. In addition to reviewing clinical syndromes and approach to management for common marine envenomations that may be encountered in the post-travel setting, we situate this case within the broader ecological context of expanding invasive species ranges with climate change and rising sea temperatures. Pre-travel providers should counsel patients at high risk for marine envenomations on preventative measures, along with how and when to seek care following exposure. Post-travel providers should be familiar with the immediate and long-term sequelae of non-infectious envenomations and intoxications, including marine exposures. Larger national and multinational collaborations are required to mitigate the effects of climate change and international marine movement on invasive species, especially those that incur risk to marine and human health alike. Full article

Background/Objectives: Corneal confocal microscopy (CCM) quantifies subbasal corneal nerve fibers noninvasively and may inform peripheral neuroaging. PhenoAge is a validated clinical measure of biological aging linked to morbidity and mortality risk and therefore provides a geriatric-relevant index of systemic aging. We aimed to assess corneal nerve morphology in clinically healthy adults and determine whether CCM-derived parameters are associated with biological age (PhenoAge) beyond chronological age. Methods: Eighty-four healthy volunteers (22–89 years) underwent CCM. PhenoAge was calculated using the Levine algorithm. Associations with chronological age and PhenoAge were tested using Spearman correlations (eye-specific and participant-level mean of both eyes). Paired inter-eye differences were assessed, and linear mixed-effects models (random intercept for participant; fixed effects for age/PhenoAge and eye) were fitted. Results: Mean chronological age was 50.8 ± 15.5 years, and mean PhenoAge was 47.1 ± 16.3 years. No systematic inter-eye differences were detected (all p > 0.05). Across analyses, older age and higher PhenoAge were associated with lower main corneal nerve fiber measures, most consistently for main-fiber density. Participant-level sensitivity analysis (mean of both eyes) confirmed inverse associations of both chronological age and PhenoAge with main-fiber length and density (all p ≤ 0.035). In mixed-effects models, main-fiber density was associated with chronological age (β = −0.020/year, p = 0.032) and PhenoAge (β = −0.019/year, p = 0.037). Conclusions: CCM-derived corneal nerve morphology demonstrates aging-related patterns in clinically healthy adults. The association between PhenoAge and main-fiber density may suggest a systemic biological aging component and warrants longitudinal validation. Full article

This study presents the development of a photoplethysmography (PPG)-based system for detecting muscle contractions. Utilizing a non-invasive approach, the system measures blood volume variations in tissues, which correlate with muscle activity. A photodiode connected to a National Instruments data acquisition system captures PPG signals, which are then analyzed using signal processing software. The processed signals generate control commands for a motor integrated into rehabilitation devices. This innovative method facilitates the monitoring and stimulation of muscle activity, enhancing the efficacy of rehabilitation technologies while ensuring a non-invasive experience for patients. Full article

Background: Invasive physiologic assessment is often needed for moderately stenotic coronary lesions, although it remains underused in routine practice. It remains unknown whether GPT-based large language models (LLMs) can estimate coronary physiology from coronary angiographic images, and whether retrieval augmentation can improve this task. Methods: We performed a retrospective pilot study of consecutive cases undergoing coronary angiography with invasive instantaneous wave-free ratio (iFR) assessment between 2023 and 2025. Eligible cases required invasive iFR and two orthogonal end-diastolic still frames of the target vessel at maximal opacification. We compared a baseline GPT-5.2 model without retrieval-augmented generation (RAG), termed No-RAG, with the same GPT-5.2 model using RAG, termed RAG. Both conditions received identical angiographic frames and structured clinical text. The RAG modification added the top five case-specific text chunks retrieved from four coronary physiology/revascularization documents to provide physiologic thresholds, guideline context, and uncertainty framing; no additional angiographic images or lesion-specific iFR information were provided. Frame-level predictions were averaged to derive a case-level predicted iFR. The primary endpoint was agreement between predicted and measured iFR. Results: Of 34 eligible cases screened, 32 vessels were included. The cohort comprised 25/32 cases (78.1%) with significant disease (iFR ≤ 0.89) and 7 cases classified as non-ischemic. Without RAG, mean absolute error (MAE) was 0.064 and the root mean square error (RMSE) was 0.083, with weak correlation with invasive iFR (r = 0.205, p = 0.259). With RAG, point estimates favored improved continuous agreement, with MAE decreasing to 0.029, RMSE to 0.038, and correlation increasing to r = 0.830 (p < 0.001). Threshold-based classification also yielded higher point estimates for accuracy, increasing from 0.750 to 0.906. Conclusions: In this small pilot study, improved point estimates for agreement between LLM-predicted and invasively measured iFR were seen after adding RAG to a GPT-based model for estimating iFR from angiographic imaging. These findings suggest that functionally classifying coronary stenoses is limited by overestimating severity in less severe stenoses, and that a scaling correction is needed. The results, however, require validation in larger, more balanced cohorts. Full article

The evaluation of stents in coronary computed tomography angiography (CCTA) is still a major topic in cardiovascular imaging. Using Photon-Counting Detector CT (PCCT) may improve the assessment of coronary stents and make on-site CT-FFR analysis feasible for ruling out in-stent restenosis (ISR). In this study, patients with previous coronary stent implantation who underwent CCTA using PCCT and subsequent invasive catheter angiography (ICA) were included. Stent characteristics such as location and length were reported. CT-FFR measurements were taken 1.8 cm before and after the stent, with a value of ≤0.80 defined as hemodynamically significant under respecting the diagnostic accuracy drop in the gray zone between 0.76 and 0.80. Delta CT-FFR with a cut-off value of ≥0.06, indicating hemodynamic significance, was determined. Any ISR and interventional treatment during the following ICA was recorded. Diagnostic performance metrics, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were calculated for post-stent CT-FFR and Delta CT-FFR in detecting ISR. Patients were followed up to evaluate the rate of major adverse cardiovascular events (MACE) 6 months after CCTA. A total of 19 patients (5 female, 14 male, median age 69 years) were enrolled in this study. In most cases, coronary stents were located in the proximal LAD with a median stent length of 70.2 mm. Pathological CT-FFR < 0.76 distal to the stent was detected in 6 cases (31.6%), while pathological Delta CT-FFR ≥ 0.06 occurred in 14 cases (73.7%). ICA was performed in three of these patients, with ISR confirmed in two cases. These findings yield sensitivity and NPV of 100% for both post-stent CT-FFR and Delta CT-FFR for excluding ISR with a superior specificity (76.5% vs. 29.4%) and overall diagnostic accuracy (78.9% vs. 36.8%) for post-stent CT-FFR. Two patients reported a myocardial infarction in follow-up; however, neither of them was located in the territory of the stented coronary artery. This study outlines the feasibility of on-site CT-FFR analysis using PCCT in excluding ISR in coronary stents with a high diagnostic accuracy. These findings highlight the need to extend the benefits of CT-FFR analysis for non-invasive assessment of possible ISR regarding personalized risk stratification and therapy planning. Full article

In intensive aquaculture, non-invasive real-time monitoring of morphological traits and body weight of largemouth bass (Micropterus salmoides) is essential for precision feeding and yield estimation. Manual measurement is laborious and stressful, whereas vision-based methods are challenged by insufficient dual-view feature fusion, poor robustness to underwater noise, and over-parameterized models unsuitable for edge deployment. To address these issues, a lightweight framework, MECT-MobileViT, is proposed based on MobileViT-xxs. A Morphometric-Guided Multi-Scale Fusion module is designed to couple physical priors with dual-branch visual features, strengthening shape–weight association. An ECA-NL attention block employing instance normalization, GLU gating, and threshold filtering is embedded to enhance feature robustness against visual disturbances typical in aquaculture and to accentuate critical morphological features. A three-stage synergistic pruning strategy—attention head pruning, structured channel pruning, and depthwise separable attention substitution—is applied to achieve substantial compression while preserving representational capacity. Experiments on a self-built lateral–dorsal dual-view dataset show that the proposed model significantly outperforms mainstream benchmarks. The pruned version attains an R² of 0.8266 and an RMSE of 16.4201, with less than 2% accuracy degradation relative to the best unpruned model, and contains only 7.34 M parameters. This study demonstrates a promising prototype for contactless, stress-free weight estimation in largemouth bass and offers new technical insights into feature fusion, noise suppression, and collaborative model compression for aquaculture visual perception. Full article

Background: Early and objective identification of cognitive decline in aging populations remains a clinical challenge. Pupillary light reflex (PLR) and eye movement parameters represent non-invasive, quantitative biomarkers of autonomic and central nervous system integrity, yet their diagnostic utility for cognitive impairment in community-dwelling older adults, particularly in those with mild or borderline impairment (predominantly GDS-Stage 2), remains underexplored. Methods: This cross-sectional study analyzed 383 community-dwelling older adults (mean age 69.78 ± 6.29 years; 68.7% female). Ten PLR parameters (n = 202 with complete PLR measurements) and ten eye movement parameters were measured. Associations with cognitive decline (deterioration grade, GDS 2–4) were evaluated using Spearman correlation analysis and multivariate linear regression (adjusted for age, sex, BMI, and hypertension). Stratified analyses and ordinal logistic regression sensitivity analysis were performed to assess robustness. FDR correction (Benjamini–Hochberg) was applied for multiple comparisons. Predictive modeling was conducted using ElasticNet regression with 5-fold cross-validation. Results: After FDR correction, resting pupil diameter (ρ = −0.47, q < 0.001), constriction amplitude (ρ = −0.40, q < 0.001), mean constriction velocity (ρ = −0.36, q < 0.001), mean dilation velocity (ρ = −0.36, q < 0.001), and all eye movement velocity parameters (ρ = −0.22 to −0.41, q < 0.001) demonstrated significant negative correlations with cognitive decline. Multivariate regression confirmed resting pupil diameter (β = −0.286, q < 0.001) and constriction amplitude (β = −0.223, q < 0.001) as independent predictors. Sensitivity analysis using ordinal logistic regression yielded consistent results. Predictive modeling yielded modest performance for the primary outcome (PLR-only cross-validated R² = 0.184), whereas models using eye movement features alone or in combination with PLR features performed near chance (R² ≤ 0.04) or showed instability, indicating that these parameters are not yet suitable as standalone diagnostic tools. Exploratory analyses of depression and anxiety were limited by floor effects (≥89% zero scores). Conclusions: PLR and eye movement parameters show significant negative associations with cognitive decline in older adults, particularly in a sample skewed toward mild impairment (predominantly GDS-Stage 2). These findings provide preliminary, hypothesis-generating signals that warrant validation in clinical samples with broader cognitive impairment distributions, and these parameters should not yet be considered standalone diagnostic biomarkers. Full article

This study evaluated infrared thermography (IRT) as a dual-purpose, non-invasive tool for detecting limb pathology and subclinical mastitis in dairy cows. Surface temperatures were measured at the coffin, pastern, and fetlock regions of all limbs and at the teat surface of all udder quarters. Limb health status was determined by orthopedic clinical examination, and mastitis status was assessed using the California Mastitis Test (CMT). Hindlimbs were significantly warmer than forelimbs in healthy cows (p < 0.001), with confirmed bilateral symmetry (r = 0.524–0.569). Limbs with pathology showed significantly higher temperatures at all anatomical sites, with particularly large effect sizes in the hindlimbs (r around 0.80). Additional lesion-specific analyses demonstrated that both infectious and claw horn lesions exhibited significantly higher temperatures than healthy limbs. In the hindlimbs, infectious lesions showed higher thermographic values than claw horn lesions. CMT-positive quarters showed teat temperatures of 30.0–30.2 °C compared with 25.2–25.8 °C in CMT-negative quarters (p < 0.001). Receiver operating characteristic (ROC) analysis demonstrated excellent diagnostic performance for teat surface temperature in identifying CMT-positive quarters, with an area under the ROC curve (AUC) of 0.956. The optimal threshold was 29.5 °C, corresponding to a sensitivity of 0.992 and a specificity of 0.838. Each 1 °C increase in teat temperature increased the odds of CMT positivity by 5.3-fold (p < 0.001). A practical three-zone thermographic framework was established: <27 °C (healthy), 27–29.5 °C (monitoring recommended), and ≥29.5 °C (mastitis likely). Teat temperature was not associated with composite milk somatic cell count, but hindlimb pathology was independently associated with elevated teat temperatures (partial r = 0.23–0.26, p ≤ 0.001). These findings demonstrate that IRT has strong potential as an integrated screening tool for dairy cow limb health and udder health monitoring. Full article

Predicting pain in physical rehabilitation is challenging due to subjectivity, patient variability, and self-report bias, especially in telerehabilitation. This study aims to determine whether machine-learning models based on heart rate (HR), heart rate variability (HRV), and peripheral oxygen saturation (SpO₂) can reliably detect clinically meaningful pain during real rehabilitation sessions, including home-based settings where self-report is least reliable; we hypothesized that these low-cost, non-invasive markers carry sufficient information to flag low-to-moderate pain episodes without relying on self-report. We combined these markers with machine-learning models. These markers were selected for their association with autonomic pain responses and ease of measurement with only two low-cost, non-invasive sensors (a wearable band providing HR and HRV, and a fingertip oximeter providing SpO₂) suitable for clinical and home-based rehabilitation. We evaluated linear regression (LR), random forest (RF), and artificial neural networks (ANNs) using data from 25 participants (aged 20–50) undergoing lower-limb rehabilitation. Signals acquired at 1 Hz were processed via temporal filtering, quality screening, and three missing-value strategies (interpolation, zero imputation, deletion) before normalization and training. LR showed limited predictive power. RF achieved 97.77% accuracy in detecting low-pain episodes, and balanced per-class performance under deletion (76.64%). ANN models contributed a more balanced three-class profile on interpolated data but remained sensitive to class imbalance. Given high-pain scarcity in supervised therapy and underreporting at home, reliable detection of low-to-moderate pain enables timely therapy adjustments. Unlike prior studies using experimentally induced pain, this work captured naturally occurring pain during real rehabilitation, making findings applicable to clinical and telerehabilitation contexts. Physiology-based models with low-cost sensors show promise for personalized rehabilitation, improving adherence and enabling proactive adjustments without added complexity. Full article

Background and Clinical Significance: Odontogenic myxoma (OM) is a rare benign neoplasm of the jawbones characterized by spindle-shaped cells embedded in a myxoid stroma. Despite its benign histological nature, it demonstrates locally aggressive behavior, significant invasiveness, and a high risk of recurrence. OM ranks as the third most common odontogenic tumor after odontoma and ameloblastoma. It affects both sexes and occurs more frequently in the mandible than in the maxilla, typically during the second to fourth decades of life. Macroscopically, OM is non-encapsulated, whitish-gray, and gelatinous. Radiographically, it usually presents as a radiolucent lesion with fine bony trabeculae, producing a characteristic “tennis racket” appearance. Case Presentation: We report a case of a 27-year-old male diagnosed with maxillary odontogenic myxoma measuring 2.3 × 1.7 cm. Clinical, radiographic, and histopathological findings were evaluated, and the lesion was treated conservatively by surgical enucleation and curettage. Results: The surgical procedure was completed without complications. Histopathological analysis confirmed the diagnosis of odontogenic myxoma. The patient showed satisfactory postoperative healing, and no evidence of recurrence was observed during a 10-month follow-up period. Conclusions: Although odontogenic myxoma is benign, its locally aggressive nature and recurrence potential require accurate diagnosis and appropriate management. Conservative treatment by enucleation and curettage may be effective for small, well-defined lesions, provided that careful long-term follow-up is maintained to monitor for recurrence. Full article

Background: Neurovascular coupling (NVC) is a fundamental mechanism that dynamically matches retinal blood flow to neuronal metabolic demand. While dynamic vessel analysis (DVA) has been established for assessing NVC through flicker-light stimulation, the potential of optical coherence tomography angiography (OCTA) to detect NVC during physiological stimuli, such as dark-to-light adaptation, remains unexplored. Methods: In this prospective cross-sectional study, OCTA imaging was performed in both eyes of 22 healthy participants under dark-adapted (scotopic) and light-adapted (photopic) conditions. Each condition was measured three times consecutively. Macular and peripapillary vessel density (VD) were quantified. Results: After adjustment for measurement order and scan quality, light adaptation significantly increased peripapillary small VD (Δ = +1.30%, p = 0.046; 95% CI: 0.03–2.56%). Peripapillary all VD demonstrated a similar trend but remained borderline significant (Δ = +1.19%, p = 0.069). In contrast, macular VD showed no significant association with light adaptation (Δ = −0.91%, p = 0.11; 95% CI: −2.02 to 0.21%), but was significantly affected by scan quality (Δ = 1.62%, p < 0.001, 95% CI: 1.23–2.02%). Conclusions: In healthy older adults, OCTA detected an increase in peripapillary VD associated with dark-to-light adaptation, reflecting retinal vascular reactivity consistent with neurovascular coupling. The pronounced influence of scan quality and measurement order underscores their importance as critical confounding factors that must be carefully controlled in functional and longitudinal OCTA studies. Together, these findings highlight OCTA’s promise as a non-invasive tool for assessing retinal neurovascular reactivity, while emphasizing the need for scan quality standardization and order correction to ensure reliable interpretation. Full article

Non-invasive Electrical Impedance Tomography (EIT) and Electrical Impedance Spectroscopy (EIS) are emerging as promising techniques for real-time monitoring and quality assessment in food processing and agri-food applications. This study reviews recent advances in impedance-based sensing for fruit characterization and investigates the experimental implementation of multi-electrode impedance measurements for tomographic imaging. Particular attention is devoted to electrode configurations, electrode polarization effects, and equivalent circuit modeling. Experimental measurements were performed on yellow honeydew melon samples using a four-electrode configuration and a impedance analyzer Keysight E4990 (Keysight Technologies, Santa Rosa, USA) over the frequency range from 20 Hz to 1 MHz. The impedance spectra were validated through Kramers–Kronig consistency tests and interpolated using several fractional-order equivalent circuit models, including single-Cole, double-Cole, and Hayden-based models. The results show that four-electrode measurements are less sensitive to electrode-sample interface artifacts than conventional two-electrode approaches, thereby providing a more reliable estimate of the sample impedance, particularly at low frequencies. Among the tested models, the double-Cole model provided the best interpolation accuracy, while the fractional Hayden models effectively described the temporal evolution of extracellular resistance and membrane-related parameters. Preliminary EIT reconstructions further demonstrate the feasibility of non-destructive tomographic imaging for fruit monitoring. These findings support the potential of EIS and EIT as low-cost, portable, and non-invasive tools for smart food quality assessment and precision agriculture applications. Full article

Background: Small animal models are essential for atrial fibrillation (AF) research. Researchers in AF use an electrocardiogram (ECG), echocardiography and invasive electrophysiology study (EPS) to assess atrial structural and electrical remodeling. In relatively smaller cardiac structures and rapid heart rates, the examination can be challenging without special tools designed for animal study. Moreover, conventional invasive EPSs often cause significant trauma, alter autonomic tone, and limit longitudinal evaluations. This study aimed to evaluate the feasibility of repurposing hospital-grade medical devices for the non-invasive, multi-modality assessment of atrial myopathy in a rat model of metabolic syndrome (MetS). Methods: A total of 12 male Sprague-Dawley rats underwent the multi-modality assessment. Structural remodeling was evaluated using hospital-grade echocardiography (8–12 MHz) to measure left atrial (LA) dimensions and volume. Surface ECG was used to determine P-wave duration. Electrical remodeling and AF inducibility were assessed using transesophageal pacing (TEP)-based EPS, evaluating the atrial effective refractory period (AERP), sinus node recovery time (SNRT), and response to rapid atrial burst pacing. Results: The protocols showed high procedural safety (survival rate 91.67%) and successfully characterized atrial myopathy. Surface ECG showed marked intra-atrial conduction delay with prolonged P-wave duration in the MetS group (30.17 ± 4.62 vs. 22.33 ± 1.86 ms, p < 0.05). Echocardiography revealed signs of structural remodeling in the MetS group, evidenced by marked prolonged Isovolumic Relaxation Time (IVRT: 35.602 ± 3.043 vs. 19.187 ± 3.631 ms; p < 0.001) and increased Left Atrial Area (0.223 ± 0.0556 vs. 0.134 ± 0.033; p = 0.007). Furthermore, TEP-based EPS quantified electrical remodeling. The MetS group had shorter AERP (73.33 ± 10.33 ms vs. 120.00 ± 34.06 ms; p = 0.010) and Corrected SNRT (100.67 ± 53.98 ms) versus controls (208.33 ± 76.97 ms; p = 0.018). The MetS group exhibited a higher absolute AF inducibility rate (50%, three out of six rats) compared to the SH group (33.3%, two out of six rats). Conclusions: The integration of surface ECG, echocardiography, and TEP-based EPS provides a safe, highly reproducible, and comprehensive method for evaluating both structural and electrical components of atrial myopathy in small animal models, allowing for robust longitudinal studies. Full article

Background: Transient elastography (TE) is widely used for noninvasive assessment of liver fibrosis. In patients undergoing hemodialysis, however, liver stiffness measurements (LSM) may be affected by rapid intradialytic changes in volume status, venous congestion, and other non-fibrotic determinants. We prospectively evaluated peridialytic variability in liver stiffness and the concordance of serum fibrosis indices with elevated LSM in patients receiving maintenance hemodialysis. Methods: In this prospective paired pilot study, 45 adults on maintenance hemodialysis underwent LSM and controlled attenuation parameter (CAP) assessments immediately before and after a dialysis session; paired data were available for 41 patients. The Fibrosis-4 index (FIB-4) and the aspartate aminotransferase-to-platelet ratio index (APRI) were calculated from routine laboratory values. Paired comparisons, correlation analyses, and receiver operating characteristic curves were used to assess within-patient changes and the ability of serum indices to identify elevated pre-dialysis liver stiffness (LSM ≥ 8 kPa). Because no histologic or imaging reference standard for fibrosis was available, these analyses were interpreted as evidence of concordance with elevated LSM rather than as diagnostic accuracy for liver fibrosis. Results: Median LSM was 7.1 kPa (interquartile range [IQR] 5.2–12.1) pre-dialysis and 7.7 kPa (IQR 5.8–12.2) post-dialysis, with no significant paired change (median ΔLSM −0.2 kPa [IQR −1.1 to 1.2]; p = 0.898). However, the proportion with LSM ≥ 8 kPa increased from 36.6% to 46.3%, with 4 of 41 patients (9.8%) newly exceeding the threshold. CAP values showed no significant paired change (p = 0.511). Intradialytic weight loss was not associated with ΔLSM (rho = −0.13, p = 0.44). FIB-4 and APRI showed poor correlation with LSM and limited concordance with elevated LSM (area under the curve 0.553 and 0.578, respectively, with wide confidence intervals). Conclusions: In this exploratory hemodialysis cohort, cohort-level median LSM did not change significantly after dialysis, but clinically relevant individual-level reclassification occurred in approximately 10% of patients. Measurement timing may alter LSM-based classification, underscoring the need for dialysis-specific validation of LSM thresholds and noninvasive assessment strategies. Full article

Background/Objectives: Cardiac troponin I (TnI) is the reference biomarker for detecting myocardial injury. Saliva has recently emerged as a potential non-invasive diagnostic fluid; however, evidence regarding the clinical utility of salivary TnI remains limited. This study aimed to compare serum and salivary TnI concentrations in patients undergoing cardiac surgery and to evaluate their relationship during the perioperative period. Methods: A prospective longitudinal observational study included 54 adult patients undergoing elective cardiac surgery with cardiopulmonary bypass and cardioplegic arrest. Serum and unstimulated saliva samples were collected 18–20 h before surgery, 18–20 h after surgery, and 42–44 h after surgery. TnI concentrations were measured using a high-sensitivity chemiluminescent immunoassay. Salivary pH, salivary flow rate, renal function, and fluid balance were also recorded. Results: Significant perioperative changes in TnI concentrations were observed in both serum and saliva (p < 0.001). Median salivary TnI increased from 3.0 ng/L preoperatively to 9.2 ng/L at 18–20 h postoperatively and decreased to 6.4 ng/L at 42–44 h. Median serum TnI increased from 10.2 ng/L to 2593.1 ng/L and subsequently decreased to 1204.5 ng/L. Despite similar temporal trends, no significant correlation was found between serum and salivary TnI concentrations at any time point. Ischemic time was positively associated with postoperative serum TnI concentrations (ρ = 0.347, p = 0.01), whereas no such association was observed for salivary TnI. Salivary TnI concentrations were not significantly associated with salivary flow rate or pH. Conclusions: Salivary TnI concentrations increased significantly following cardiac surgery, indicating measurable perioperative changes within the salivary compartment. However, no significant association was observed between salivary and serum TnI concentrations under the conditions investigated in this study. Therefore, the present findings do not support the use of salivary TnI as a surrogate marker of circulating troponin concentrations. Further analytical validation of high-sensitivity troponin assays in saliva and additional clinical studies are required before definitive conclusions regarding the biological significance and potential clinical utility of salivary troponin measurements can be made. Full article