Characterizing CRP dynamics during acute infections.

PURPOSE: C-reactive protein (CRP) is a common proxy of inflammation, but accurate characterizations of its dynamics during acute infections are scant. The goal of this study was to examine C-reactive protein (CRP) trajectories in hospitalized patients with viral infections, confirmed bacteremia (stratified by Gram-negative or Gram-positive bacteria), and non-bacteremic infections/inflammations, considering antibiotic treatment. METHODS: Electronic medical records from Tel Aviv Sourasky Medical Center (July 2007-May 2023) were analyzed. Patients with blood cultures or positive viral tests were included. CRP levels were modeled using generalized additive mixed-effects models (GAMMs) and observed up to 150 h after initial infection diagnosis. Patients with initial CRP levels > 31.9 were excluded, to remove individuals already in a highly active inflammatory process. The shapes of the CRP curves were characterized and peak CRP as well as area under the CRP curve were the primary variables of interest. RESULTS: Viral infections had the lowest and flattest CRP curves. Non-bacteremic infections showed intermediate levels, while bacteremia (especially Gram-negative under antibiotic treatment) had the highest CRP peaks. For instance, peak CRP ranged from 15.4 mg/L in viral infections without antibiotics to 140.9 mg/L in Gram-negative bacteremia with antibiotics. CONCLUSIONS: CRP trajectories significantly differ based on infection type and antibiotic treatment. Frequent CRP measurement could be a valuable diagnostic and risk stratification tool in hospitalized patients.

Transitioning from having no metabolic abnormality nor obesity to metabolic impairment in a cohort of apparently healthy adults.

INTRODUCTION: The global prevalence of metabolic syndrome and its association with increased morbidity and mortality has been rigorously studied. However, the true prevalence of "metabolic health", i.e. individuals without any metabolic abnormalities is not clear. Here, we sought to determine the prevalence of "metabolically healthy" individuals and characterize the "transition phase" from metabolic health to development of dysfunction over a follow-up period of 5 years. METHODS: We included 20,507 individuals from the Tel Aviv Sourasky Medical Center Inflammation Survey (TAMCIS) which comprises apparently healthy individuals attending their annual health survey. A second follow-up visit was documented after 4.8 (± 0.6) years. We defined a group of metabolically healthy participants without metabolic abnormalities nor obesity and compared their characteristics and change in biomarkers over time to participants who developed metabolic impairment on their follow-up visit. The intersections of all metabolic syndrome components and elevated high sensitivity C-reactive protein (hs-CRP) were also analyzed. RESULTS: A quarter of the cohort (5379 individuals, (26.2%) did not fulfill any metabolic syndrome criteria during their baseline visit. A total of 985 individuals (12.7% of returning participants) developed metabolic criteria over time with hypertension being the most prevalent component to develop among these participants. Individuals that became metabolically impaired over time demonstrated increased overlap between metabolic syndrome criteria and elevated hs-CRP levels. The group that became metabolically impaired over time also presented higher delta values of WBC, RBC, liver biomarkers, and uric acid compared with participants who were consistently metabolically impaired. LDL-C (low-density lipoprotein cholesterol) delta levels were similar. CONCLUSIONS: Roughly one-quarter of apparently healthy adults are defined as "metabolically healthy" according to current definitions. The transition from health to metabolic dysfunction is accompanied with active inflammation and several non-metabolic syndrome biomarkers. Aggressive screening for these biomarkers, blood pressure and hs-CRP might help identify apparently healthy individuals at increased risk of developing metabolic syndrome over time.

Extracellular Vesicles From Epicardial Fat Facilitate Atrial Fibrillation.

BACKGROUND: The role of epicardial fat (eFat)-derived extracellular vesicles (EVs) in the pathogenesis of atrial fibrillation (AF) has never been studied. We tested the hypothesis that eFat-EVs transmit proinflammatory, profibrotic, and proarrhythmic molecules that induce atrial myopathy and fibrillation. METHODS: We collected eFat specimens from patients with (n=32) and without AF (n=30) during elective heart surgery. eFat samples were grown as organ cultures, and the culture medium was collected every 2 days. We then isolated and purified eFat-EVs from the culture medium, and analyzed the EV number, size, morphology, specific markers, encapsulated cytokines, proteome, and microRNAs. Next, we evaluated the biological effects of unpurified and purified EVs on atrial mesenchymal stromal cells and endothelial cells in vitro. To establish a causal association between eFat-EVs and vulnerability to AF, we modeled AF in vitro using induced pluripotent stem cell-derived cardiomyocytes. RESULTS: Microscopic examination revealed excessive inflammation, fibrosis, and apoptosis in fresh and cultured eFat tissues. Cultured explants from patients with AF secreted more EVs and harbored greater amounts of proinflammatory and profibrotic cytokines, and profibrotic microRNA, as well, than those without AF. The proteomic analysis confirmed the distinctive profile of purified eFat-EVs from patients with AF. In vitro, purified and unpurified eFat-EVs from patients with AF had a greater effect on proliferation and migration of human mesenchymal stromal cells and endothelial cells, compared with eFat-EVs from patients without AF. Last, whereas eFat-EVs from patients with and without AF shortened the action potential duration of induced pluripotent stem cell-derived cardiomyocytes, only eFat-EVs from patients with AF induced sustained reentry (rotor) in induced pluripotent stem cell-derived cardiomyocytes. CONCLUSIONS: We show, for the first time, a distinctive proinflammatory, profibrotic, and proarrhythmic signature of eFat-EVs from patients with AF. Our findings uncover another pathway by which eFat promotes the development of atrial myopathy and fibrillation.

Exercise-induced albuminuria increases over time in individuals with impaired glucose metabolism.

BACKGROUND: Exercise induced albuminuria (EiA) is elevated in patients with metabolic dysfunction and diabetes, and may serve as an early biomarker for endothelial dysfunction and "kidney reserve". However, the change in EiA levels over time and its interaction with metabolic dysfunction and glucose metabolism has never been studied. Therefore, we sought to determine EiA levels over time in a cohort of individuals attending a routine annual health survey. METHODS: We prospectively enrolled 412 patients attending an annual healthy survey at our Medical Center. We collected urine samples for albumin and creatinine measurements before and immediately after completing an exercise stress test, along with multiple physiologic and metabolic parameters. Participants returned to a second follow up visit after a mean follow up period of 3 years (± 1.7 SD). RESULTS: Patients with diagnosed diabetes and subjects with HbA1c ≥ 6.5% significantly increased their EiA over time (median [IQR] change between visits = 19.5 [- 10.4-56.1] vs. - 1.1 [- 12.7-4.9] (p = 0.049) for diabetics vs non-diabetics respectively). Moreover, a diabetes diagnosis was significantly associated with a high increase in EiA over time (top 10th percentile) even after adjusting for age, BMI, eGFR, METs, self-reported history of heart disease, systolic and diastolic blood pressure; OR = 4.4 (1.01-19.3 95% CI) (p = 0.049). Finally, elevated fasting blood glucose (≥ 100 mg/dl) was the strongest and only significant predictor for a greater increase in EiA over time after adjusting for all five metabolic syndrome components; blood glucose, waist circumference, blood triglycerides, HDL cholesterol, and BP criteria; OR = 4.0 (1.6-9.8 95% CI) (p < 0.01). CONCLUSIONS: Patients with diabetes and/or elevated fasting blood glucose increase their exercise-induced urinary albumin excretion over time. The ability of EiA to predict major clinical outcomes in patients with and without diabetes needs to be determined in future studies.

The yield of immediate post lung biopsy CT in predicting iatrogenic pneumothorax.

BACKGROUND: The most prevalent complication of percutaneous lung biopsy is pneumothorax (PNX). A routine immediate post-procedure CT scan (ICT) to spot PNX is done in many centers. However, the diagnostic yield of this practice has not been studied broadly. We sought to evaluate whether an ICT could replace the routine follow-up chest X-ray (CXR) in detecting procedure related PNX. METHODS: We examined case-records of 453 patients who underwent lung biopsy at our medical center. We analyzed findings from CXR performed 2-h after biopsy and from CT images at the site of biopsy acquired immediately after the procedure (ICT). Multivariate analysis was used to identify the risk factors for PNX, and we examined the concordance between ICT and CXR-2-h post-procedure. RESULTS: A total of 87 patients (19%) were diagnosed with PNX on CXR-2-h post-procedure. ICT detected 80.5% of diagnosed PNX (p <  0.01). However, ICT demonstrated a negative predictive value of only 94%, meaning 17 patients (6%) with a negative ICT did eventually develop PNX seen on CXR. Furthermore, bleeding surrounding the puncture area spotted on ICT negatively predicted the development of PNX (OR = 0.4 95% CI; 0.2-0.7). CONCLUSIONS: We conclude that a CT scan performed immediately after percutaneous lung biopsy cannot replace the routine follow-up CXR in predicting iatrogenic PNX. Bleeding in the needle's tract may lower the risk for procedure-related PNX.

Computed Tomography-Guided Lung Biopsy: Does a Rural Hospital Do Better?

BACKGROUND: Lung percutaneous needle biopsy (PNB) is routinely used to diagnose lung cancer. The most prevalent complications of PNB are pneumothorax and bleeding. Differences in characteristics of medical procedures between rural and urban hospitals are well known. OBJECTIVES: To compare characteristics of patients and lesions between two hospitals and to evaluate whether lung PNB complications differ in rural vs. urban settings. METHODS: The authors examined case records of 561 patients who underwent lung biopsy at two different medical centers in Israel: Tel Aviv Sourasky Medical Center (urban) and Barzilai Medical Center (rural). To evaluate the complication rates, the authors analyzed findings from chest X-ray performed 2 hours after biopsy and computed tomography (CT) images at the site of biopsy. RESULTS: The study comprised 180 patients who underwent lung biopsy at Barzilai and 454 at Sourasky. The rate of pneumothorax did not differ between centers (12% at Barzilai and 19% at Sourasky, P = 0.08). Distance from pleura was positively correlated to pneumothorax occurrence in both centers; however, neither lesion size nor lesion locus was found to be a risk factor for pneumothorax. Mild bleeding at the biopsy site occurred equally at Barzilai and Sourasky (32% vs. 36%, P = 0.3, respectively). Furthermore, immediate CT post-biopsy at Barzilai showed 95% negative predictive value, showing that a CT scan performed immediately after lung biopsy cannot replace the routine follow-up chest X-ray in predicting iatrogenic pneumothorax. CONCLUSIONS: CT-guided percutaneous lung biopsies are comparable between rural and urban hospitals regarding procedure characteristics and complication rates.

Increase of body mass index and waist circumference predicts development of metabolic syndrome criteria in apparently healthy individuals with 2 and 5 years follow-up.

BACKGROUND: The metabolic syndrome (MetS) is associated with overweight and abdominal obesity. Our aim was to use longitudinal measurements to provide clinically relevant information on the relative influence of changes in body mass index (BMI), waist circumference (WC), and weekly physical exercise duration on the development of each of the MetS components. METHODS: We analyzed data collected at the Tel-Aviv Medical Center Inflammation Survey (TAMCIS). Apparently healthy individuals with two consecutive visits that were not treated for any metabolic criteria were included in this study. We analyzed the influence of changes in BMI, WC, and time engaged in physical exercise on the change in each of the components of the metabolic syndrome using linear regressions. RESULTS: Included were 7532 individuals (5431 men, 2101 women) with 2 years follow-up. Participants who gained two BMI points, had the mean number of criteria increase from 1.07 to 1.52, while participants who lost two BMI points, decreased from 1.64 to 1.16. A long-term analysis over 5 years showed similar results. Furthermore, an increase in WC was independently associated with increased severity of each of the other components, when controlling for increase in BMI. Increase in weekly exercise duration had a small but statistically significant favorable effect on blood triglycerides and HDL levels, but not on blood pressure or HbA1C. CONCLUSIONS: Changes in BMI and WC are highly associative with the likelihood and severity of the MetS independently of the baseline levels, suggesting that obese individuals can substantially improve their MetS prognosis by losing both body weight and abdominal fat.

Metabolic syndrome is associated to high-sensitivity cardiac troponin T elevation.

INTRODUCTION: Metabolic syndrome (MetS) and high-sensitivity cardiac troponin T (hs-TnT) are associated with higher risk for cardiovascular diseases (CVD). Our aim was to assess the relation between hs-TnT elevation and MetS in a general population sample. MATERIALS AND METHODS: Individuals participating in an annual health survey program between 2010 and 2016 were included in the study. Blood samples including hs-TnT levels were collected. The study population was divided into three groups based on hs-TnT levels - undetectable (<5 ng/L), intermediate (5-14 ng/L) and elevated (>14 ng/L). RESULTS: A total of 5994 subjects were included in the study, the mean age was 48.5 and 4336 (72%) were males. Compared with subjects with undetectable hs-TnT the prevalence of MetS was higher in those with detectable and elevated levels - 392 (10%) vs. 270 (15%) and 51 (33%), respectively (p < 0.001). In a multivariate model adjusted for age, gender and multiple co-morbidities, the number of MetS components and presence of MetS were significantly associated with an increased risk for detectable hs-TnT levels (OR = 1.02 {for each component}; 95% CI [1.00-1.05], p = 0.04) and (OR = 1.13; 95% CI [1.07-1.2], p < 0.001) respectively. Only the waist, glucose and hypertension components of the MetS were significantly associated with elevated troponin. CONCLUSIONS: The MetS and its distinct components have a cumulative impact on hs-TnT levels in apparently healthy subjects.

Total serum cholinesterase activity predicts hemodynamic changes during exercise and associates with cardiac troponin detection in a sex-dependent manner.

BACKGROUND: Imbalanced autonomic nervous system (ANS) activity is associated with poor cardiovascular outcome. However, clinically validated biomarkers to assess parasympathetic function are not yet available. We sought to evaluate parasympathetic dysfunction by measuring serum cholinesterase activity and to determine its relationship to high sensitive cardiac troponin T (hs-cTnT) as well as traditional non-invasive parameters of ANS function during exercise in apparently healthy individuals. METHODS: We enrolled 1526 individuals (mean age 49 ± 11 yr., 75% men) from the Tel Aviv Medical Center Inflammation Survey (TAMCIS). We used the acetylcholine (ACh) analog acetylthiocholine (ATCh) as a substrate that is hydrolyzed by both ACh degrading enzymes and reflects the total serum capacity for acetylcholine hydrolysis, referred to as cholinergic status (CS). All subjects performed a cardiac stress test reviewed on the spot by a cardiologist and multiple physiological and metabolic parameters including hs-cTnT were measured. RESULTS: CS values at rest predicted multiple exercise-hemodynamic changes. Heart rate recovery after exercise was inversely correlated to CS values (p < 0.01 and p = 0.03 for women and men respectively), and a hypertensive reaction during exercise was associated with elevated CS levels in women. Most importantly, women with detectable hs-cTnT (> 5 ng/L) presented with elevated CS levels compared to women with undetectable levels; 1423 ± 272.5 vs 1347 ± 297.9 (p = 0.02). An opposite trend was observed in men. Metabolic dysfunction parameters were also associated with CS elevation in both men and women. CONCLUSIONS: Parasympathetic dysfunction assessed by total serum cholinesterase activity predicts hemodynamic changes during exercise. CS is also associated with hs-cTnT detection in women and inversely so in men. Future studies to assess the potential clinical use of this new sex-specific biomarker in cardiovascular disease risk stratification are warranted.

Elevated high-sensitive troponin T in negative stress test individuals.

BACKGROUND: The exercise ECG stress test (EST) is still the first step of work-up in intermediate risk patients in many clinical scenarios. High-sensitive cardiac troponin T (hs-cTnT) elevation is related to future cardiovascular events in the general population and in patients with ischaemic heart disease. The relation between these 2 tests is not well described. MATERIALS AND METHODS: A total of 2780 participants from the Tel-Aviv Medical Center Inflammation Survey cohort (mean age 49 years, 79% men) were analysed. Multiple physiologic and metabolic parameters including hs-cTnT were collected. All participants completed an EST manually reviewed by a cardiologist. RESULTS: A positive EST was documented in 224 subjects (8%). The majority (91%) of participants with hs-cTnT levels of 5-14 ng/L had a negative EST as well as 89.3% of subjects with levels >14 ng/L. The proportion of subjects with a positive EST and detectable hs-cTnT levels (>5 ng/L) was not significantly greater compared to those with a negative EST (53.1% vs 46.2%, respectively, P = .09). CONCLUSION: Among subjects referred for EST as part of an annual health survey, we found no significant association between EST results to hs-cTnT detection.

Sex difference in the risk for exercise-induced albuminuria correlates with hemoglobin A1C and abnormal exercise ECG test findings.

BACKGROUND: Albuminuria is an established marker for endothelial dysfunction and cardiovascular risk in diabetes and prediabetes. Exercise induced albuminuria (EiA) appears earlier and may be a more sensitive biomarker for renal endothelial damage. We sought to examine the association between EiA, parameters of the metabolic syndrome, A1C levels, exercise ECG test results and sex related differences in a large cohort of healthy, pre-diabetic and diabetic subjects. METHODS: A total of 3029 participants from the Tel-Aviv Medical Center Inflammation Survey cohort (mean age 46 years, 73% men) were analyzed. Multiple physiologic and metabolic parameters including A1C were collected and albuminuria was measured in all subjects before and immediately after completing an exercise ECG test. RESULTS: Exercise increased urinary albumin to creatinine ratio (ΔEiA) by 2.8 (0-13.6) mg/g for median (IQR) compared to rest albuminuria (p < 0.001). An increase in ΔEiA was observed with accumulating parameters of the metabolic syndrome. ΔEiA showed significant interaction with sex and A1C levels; i.e. women with A1C > 6.5% had an increased risk of higher ΔEiA (p < 0.001). Using a cutoff of ΔEiA > 13 mg/g (top quartile) we found that women with ΔEiA > 13 mg/g were at greater risk for abnormal exercise ECG findings, (OR = 2.7, p = 0.001). CONCLUSION: Exercise promotes excessive urinary albumin excretion in dysmetabolic patients. In women, a significant correlation exists between ΔEiA and A1C levels. A cutoff of ΔEiA > 13 mg/g in women may be used to identify populations at risk for abnormal exercise ECG test findings and perhaps increased cardiovascular risk. Future studies will be needed to further validate the usefulness of ΔEiA as a biomarker for cardiovascular risk in women with and without diabetes.

An Exploratory Analysis of Routine Ferritin Measurement Upon Admission and the Prognostic Implications of Low-Grade Ferritinemia During Inflammation.

BACKGROUND: Serum ferritin is usually measured in the presence of anemia or in suspected iron overload syndromes. Ferritin is also an acute-phase protein that is elevated during systemic inflammation. However, the prognostic value of routinely measuring ferritin upon admission to a medical facility is not clear. Therefore, we examined the association between ferritin concentrations measured at the time of hospital admission with 30-day and long-term mortality. METHODS: We obtained routine ferritin measurements taken within 24 hours of admission in 2859 patients hospitalized in an internal medicine department. Multiple clinical and laboratory parameters were used to assess the association between ferritin and overall mortality during a median follow-up of 15 months (interquartile range [IQR] 8-22). RESULTS: Ferritin levels were associated with increased 30-day mortality rates (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.03-1.06) for each 100 ng/mL increase. Patients with intermediate (78-220 ng/mL) and high (>221 ng/mL) ferritin concentrations (2nd and 3rd tertiles) had higher 30-day mortality rates even after adjustment for age, sex, and existing comorbidities (OR 2.05, 95% CI 1.70-2.5). Long-term overall mortality rates demonstrated a similar pattern across ferritin tertiles (hazard ratio [HR] 1.54, 95% CI 1.39-1.71). CONCLUSIONS: Routine admission ferritin concentrations are linearly and independently correlated with excess mortality risk in hospitalized patients, even those with apparently "normal" ferritin concentrations (<300 mg/mL). Thus, low-grade ferritinemia might not be an innocent finding in the context of the inflammatory response. Its potential biological and therapeutic implications warrant future research.

The CRP troponin test (CTT) stratifies mortality risk in patients with non-ST elevation myocardial infarction (NSTEMI).

INTRODUCTION: The C-reactive protein (CRP)-troponin-test (CTT) comprises simultaneous serial measurements of CRP and cardiac troponin and might reflect the systemic inflammatory response in patients with acute coronary syndrome. We sought to test its ability to stratify the short- and long-term mortality risk in patients with non-ST elevation myocardial infarction (NSTEMI). METHODS: We examined 1,675 patients diagnosed with NSTEMI on discharge who had at least two successive measurements of combined CRP and cardiac troponin within 48 h of admission. A tree classifier model determined which measurements and cutoffs could be used to best predict mortality during a median follow-up of 3 years [IQR 1.8-4.3]. RESULTS: Patients with high CRP levels ( > 90th percentile, >54 mg/L) had a higher 30-day mortality rate regardless of their troponin test findings (16.7% vs. 2.9%, p < 0.01). However, among patients with "normal" CRP levels ( < 54 mg/L), those who had high troponin levels ( > 80th percentile, 4,918 ng/L) had a higher 30-day mortality rate than patients with normal CRP and troponin concentrations (7% vs. 2%, p < 0.01). The CTT test result was an independent predictor for overall mortality even after adjusting for age, sex, and comorbidities (HR = 2.28 [95% CI 1.56-3.37], p < 0.01 for patients with high troponin and high CRP levels). CONCLUSIONS: Early serial CTT results may stratify mortality risk in patients with NSTEMI, especially those with "normal" CRP levels. The CTT could potentially assess the impact of inflammation during myocardial necrosis on the outcomes of patients with NSTEMI and identify patients who could benefit from novel anti-inflammatory therapies.

Routine Ankle-Brachial Index (ABI) measurement: a window into atherosclerosis and early left ventricular dysfunction in patients diagnosed with cancer.

BACKGROUND: Cancer therapy is considered to cause accelerated ischemia. Ankle-Brachial Index (ABI) measurement is an inexpensive, simple, available test for the early diagnosis of peripheral artery disease (PAD); however, it is not performed routinely. We aimed to evaluate the role of routine ABI measurement for the diagnosis of PAD among patients diagnosed with cancer and whether it correlates with left ventricular (LV) dysfunction. METHODS: A retrospective, single-center study including patients diagnosed with cancer at Tel Aviv Sourasky Medical Center. The cohort included patients performing routine ABI and LV global longitudinal strain (GLS) echocardiography. The primary endpoint was the prevalence of PAD and whether it correlates with LV dysfunction, defined by LV GLS absolute value < 19%. The secondary composite endpoint evaluated the association between reduced ABI to LV dysfunction and all-cause mortality. RESULTS: Among 226 patients, PAD was diagnosed in 14 patients (6%). We revealed a positive correlation between ABI and LV GLS (r = 0.22, p < 0.01) with a reduced mean ABI score among patients with reduced LV GLS. A reduced mean ABI was observed among the positive composite endpoint group; however, it was not statistically significant (p = 0.35). CONCLUSIONS: We report, for the first time to our knowledge, the routine use of ABI testing among patients diagnosed with cancer. ABI showed a significant correlation to LV GLS, implying a potential tool in the early diagnosis of atherosclerosis and cardiotoxicity. Considering its low cost and availability, future prospective trials are needed to integrate its role in routine assessment.

Sodium-glucose co-transporter-2 inhibitors in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the prognosis of cancer. Diabetes mellitus (DM) has been shown to have a negative effect on patients treated with ICIs. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are effective antidiabetic therapies associated with reduced all-cause mortality and cardiovascular (CV) outcomes. OBJECTIVE: To evaluate the prognostic value of SGLT2i on all-cause mortality and cardiotoxicity among patients treated with ICIs. METHODS: We performed a retrospective analysis of patients diagnosed with cancer and type 2 DM (DM2) and treated with ICIs at our center. Patients were divided into two groups according to baseline treatment with or without SGLT2i. The primary endpoint was all-cause mortality and the secondary endpoint was MACE, including myocarditis, acute coronary syndrome, heart failure, and arrhythmia. RESULTS: The cohort included 119 patients, with 24 (20%) patients assigned to the SGLT2i group. Both groups exhibited a comparable prevalence of cardiac risk factors, although the SGLT2i group displayed a higher incidence of ischemic heart disease. Over a median follow-up of 28 months, 61 (51%) patients died, with a significantly lower all-cause mortality rate in the SGLT2i group (21% vs. 59%, p = 0.002). While there were no significant differences in MACE, we observed zero cases of myocarditis and atrial fibrillation in the SGLT2i, compared to 2 and 6 cases in the non-SGLT2i group. CONCLUSIONS: SGLT2i therapy was associated with a lower all-cause mortality rate in patients diagnosed with cancer and DM2 and treated with ICIs. Further studies are needed to understand the mechanism and evaluate its benefit on cardiotoxicity.

Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning algorithm.

COVID-19-related pneumonia is typically diagnosed using chest x-ray or computed tomography images. However, these techniques can only be used in hospitals. In contrast, thermal cameras are portable, inexpensive devices that can be connected to smartphones. Thus, they can be used to detect and monitor medical conditions outside hospitals. Herein, a smartphone-based application using thermal images of a human back was developed for COVID-19 detection. Image analysis using a deep learning algorithm revealed a sensitivity and specificity of 88.7% and 92.3%, respectively. The findings support the future use of noninvasive thermal imaging in primary screening for COVID-19 and associated pneumonia.

Incorporating artificial intelligence in portable infrared thermal imaging for the diagnosis and staging of nonalcoholic fatty liver disease.

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is one of the most prevalent chronic liver diseases worldwide. Thermal imaging combined with advanced image-processing and machine learning analysis accurately classified disease status in a study on mice; this study aimed to develop this tool for humans. This prospective study included 46 patients who underwent liver biopsy. Liver thermal imaging was performed on the same day as liver biopsy. We developed an image-processing algorithm that measured the relative spatial thermal variation across the skin covering the liver. The texture parameters obtained from the thermal images were input into the machine learning algorithm. Patients were diagnosed with MASLD and stratified according to nonalcoholic fatty liver disease activity score (NAS) and fibrosis stage using the METAVIR score. Twenty-one of 46 patients were diagnosed with MASLD. Using thermal imaging followed by processing, detection accuracy for patients with NAS >4 was 0.72.

Automated thermal imaging monitors the local response to cervical cancer brachytherapy.

Malignant tumors have high metabolic and perfusion rates, which result in a unique temperature distribution as compared to healthy tissues. Here, we sought to characterize the thermal response of the cervix following brachytherapy in women with advanced cervical carcinoma. Six patients underwent imaging with a thermal camera before a brachytherapy treatment session and after a 7-day follow-up period. A designated algorithm was used to calculate and store the texture parameters of the examined tissues across all time points. We used supervised machine learning classification methods (K Nearest Neighbors and Support Vector Machine) and unsupervised machine learning classification (K-means). Our algorithms demonstrated a 100% detection rate for physiological changes in cervical tumors before and after brachytherapy. Thus, we showed that thermal imaging combined with advanced feature extraction could potentially be used to detect tissue-specific changes in the cervix in response to local brachytherapy for cervical cancer.

Automatized Detection of Crohn's Disease in Intestinal Ultrasound Using Convolutional Neural Network.

INTRODUCTION: The use of intestinal ultrasound (IUS) for the diagnosis and follow-up of inflammatory bowel disease is steadily growing. Although access to educational platforms of IUS is feasible, novice ultrasound operators lack experience in performing and interpreting IUS. An artificial intelligence (AI)-based operator supporting system that automatically detects bowel wall inflammation may simplify the use of IUS by less experienced operators. Our aim was to develop and validate an artificial intelligence module that can distinguish bowel wall thickening (a surrogate of bowel inflammation) from normal bowel images of IUS. METHODS: We used a self-collected image data set to develop and validate a convolutional neural network module that can distinguish bowel wall thickening >3 mm (a surrogate of bowel inflammation) from normal bowel images of IUS. RESULTS: The data set consisted of 1008 images, distributed uniformly (50% normal images, 50% abnormal images). Execution of the training phase and the classification phase was performed using 805 and 203 images, respectively. The overall accuracy, sensitivity, and specificity for detection of bowel wall thickening were 90.1%, 86.4%, and 94%, respectively. The network exhibited an average area under the ROC curve of 0.9777 for this task. CONCLUSIONS: We developed a machine-learning module based on a pretrained convolutional neural network that is highly accurate in the recognition of bowel wall thickening on intestinal ultrasound images in Crohn's disease. Incorporation of convolutional neural network to IUS may facilitate the use of IUS by inexperienced operators and allow automatized detection of bowel inflammation and standardization of IUS imaging interpretation.

We developed a machine-learning module based on a pretrained convolutional neural network that is highly accurate in the recognition of bowel wall thickening on intestinal ultrasound images in Crohn's disease.