CACS, CCTA and mCAD-LT score in the pre-transplant assessment of coronary artery disease and the prediction of post-transplant cardiovascular events.

BACKGROUND: The optimal cardiovascular assessment of liver transplant (LT) candidates is unclear. We aimed to evaluate the performance of CT-based coronary tests (coronary artery calcium score [CACS] and coronary CT angiography [CCTA]) and a modification of the CAD-LT score (mCAD-LT, excluding family history of CAD) to diagnose significant coronary artery disease (CAD) before LT and predict the incidence of post-LT cardiovascular events (CVE). METHODS: We retrospectively analysed a single-centre cohort of LT candidates who underwent non-invasive tests; invasive coronary angiography (ICA) was performed depending on the results of non-invasive tests. mCAD-LT was calculated in all patients. RESULTS: Six-hundred-and-thirty-four LT candidates were assessed and 351 of them underwent LT. CACS, CCTA and ICA were performed in 245, 123 and 120 LT candidates, respectively. Significant CAD was found in 30% of patients undergoing ICA. The AUROCs of mCAD-LT (.722) and CCTA (.654) were significantly higher than that of CACS (.502) to predict the presence of significant CAD. Specificity of the tests ranged between 31% for CCTA and 53% for CACS. Among patients who underwent LT, CACS ≥ 400 and mCAD-LT were independently associated with the incidence of CVE; in patients who underwent CCTA before LT, significant CAD at CCTA also predicted post-LT CVE. CONCLUSION: In this cohort, mCAD-LT score and CT-based tests detect the presence of significant CAD in LT candidates, although they tend to overestimate it. Both mCAD-LT score and CT-based tests classify LT recipients according to their risk of post-LT CVE and can be used to improve post-LT risk mitigation.

Severe hypoglycemia and hypoglycemia awareness are associated with preclinical atherosclerosis in patients with type 1 diabetes without an estimated high cardiovascular risk.

AIMS: To explore the relationship between severe hypoglycemia (SH) and hypoglycemia awareness with preclinical atherosclerosis in type 1 diabetes (T1D). MATERIALS AND METHODS: Cross-sectional study in patients with T1D without cardiovascular disease (CVD), and with ≥1 of the following: ≥40 years, diabetic kidney disease, or ≥10 years of T1D duration with another risk factor. CVD risk was estimated with the Steno T1 Risk Engine (Steno-Risk). Carotid plaque was evaluated using standardised ultrasonography protocol. Logistic regression models adjusted for CVD risk factors were constructed to test the independent associations with SH or hypoglycemia awareness assessed by the Clarke questionnaire (Clarke). The inclusion of SH and Clarke in Steno-Risk was further evaluated. RESULTS: We included 634 patients (52.4% men, age 48.3 ± 10.8 years, T1D duration 27.4 ± 11.1 years, 39.9% harbouring plaque). A stepped increase in the presence of plaque according to Steno-Risk was observed (13.5%, 37.7%, and 68.7%, for low, moderate, and high risk, respectively; p < 0.001). SH history (OR 4.4 [1.3-14.6]) and Clarke score (OR 1.7 [1.2-2.2]) were associated with plaque in low-risk patients (n = 192). Clarke score was also associated with plaque burden in low-moderate-risk participants (n = 436; ≥2 plaques: OR 1.2 [1.0-1.5], p = 0.031; ≥3 plaques: OR 1.4 [1.1-2.0], p = 0.025). The inclusion of SH and Clarke scores in Steno-Risk significantly improved the identification of low-risk individuals with atherosclerosis (area under the curve: 0.658 vs. 0.576; p = 0.036). CONCLUSIONS: In patients with T1D without an estimated high CVD risk, SH and hypoglycemia awareness assessment score were independently associated with preclinical atherosclerosis and improved identification of patients who would benefit from an intensive approach.

Adherence to an energy-restricted Mediterranean diet is associated with the presence and burden of carotid atherosclerosis in people with type 1 diabetes.

AIMS: People with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD). The Mediterranean diet is associated with reduced CVD; however, the evidence in T1D is scarce. We aimed to analyse the relationships between adherence to the energy-restricted Mediterranean diet (erMEDd) and carotid atherosclerosis. MATERIALS AND METHODS: We included children with T1D without CVD, with ≥1 of the following: age ≥40 years, diabetic kidney disease, or ≥10 years of disease duration with another risk factor. Plaque presence (intima-media thickness ≥1.5 mm) was determined by ultrasonography. The PREDIMED-Plus 17-item questionnaire (PP-17) was used to assess adherence to the erMEDd. RESULTS: Four hundred one individuals were included (48% males, age 48.3 ± 11 years, diabetes duration 26.8 ± 11.4 years). Those harbouring plaques (42%) showed lower adherence to the erMEDd (PP-17: 8.9 ± 2.3 of a maximum of 17 vs. 9.8 ± 2.5, p < 0.001). Greater adherence to the erMEDd was correlated with an overall better metabolic profile. After adjusting for multiple confounders, adherence to the erMEDd was independently associated with carotid atherosclerosis (OR 0.86 [0.77-0.95] for plaque presence and OR 0.85 [0.75-0.97] for ≥2 plaques). The consumption of fruit and nuts and preference of white over red meat was higher in individuals without atherosclerosis (p < 0.05). Fruit and nut consumption was associated with lower plaque prevalence in the fully adjusted models (OR 0.38 [0.19-0.73] and 0.51 [0.29-0.93]). CONCLUSIONS: Greater adherence to the erMEDd is associated with less carotid atherosclerosis in children with T1D at high risk of CVD. Strategies to improve and implement healthy dietary patterns in this population should be encouraged.

Neutrophil-to-lymphocyte ratio is independently associated with carotid atherosclerosis burden in individuals with type 1 diabetes.

BACKGROUND AND AIMS: Recent studies have identified a relationship between innate versus. Adaptative immunity and cardiovascular disease (CVD) in the general population, but information on type 1 diabetes (T1D) is lacking. We aimed to study the relationship between inflammatory biomarkers and preclinical atherosclerosis in this population. METHODS AND RESULTS: Cross-sectional study in T1D individuals without CVD and with ≥1 of the following: ≥40 years, diabetic kidney disease, or ≥10 years of diabetes duration with classical CVD risk factors. Carotid plaques were evaluated by ultrasonography. C-reactive protein, total leukocyte count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and systemic immune-inflammation index were assessed as inflammatory markers. Multivariate-adjusted models including age, sex, and other CVD risk factors were constructed to test their independent associations with atherosclerosis burden. We included 602 subjects (52.8% men, 48.7 ± 10.2 years old and 27.0 ± 10.5 years of diabetes duration). Carotid plaques were found in 41.2% of the individuals (12.8%, ≥3 plaques). The number of carotid plaques (none, 1-2, ≥3 plaques), was directly associated with the leukocyte count (6570 [5445-8050], 6640 [5450-8470] and 7310 [5715-8935] per mm3, respectively; p for trend = 0.021) and the NLR (1.63 [1.28-2.13], 1.78 [1.38-2.25] and 2.14 [1.58-2.92], respectively; p for trend <0.001), but only the NLR remained directly associated in fully-adjusted models (presence of plaques; OR 1.285 [1.040-1.587]; ≥3 plaques, OR 1.377 [1.036-1.829]). CONCLUSIONS: The NLR was independently and directly associated with carotid plaque burden in T1D individuals. Our data support the role of innate versus. Adaptative immunity in atherosclerosis also among the T1D population.

Impact of preeclampsia and parity on sex-based discrepancies in subclinical carotid atherosclerosis in type 1 diabetes.

CONTEXT: The excess risk of fatal and non-fatal cardiovascular events is roughly twice as high in women than in men with type 1 diabetes (T1D). OBJECTIVE: To evaluate the impact of preeclampsia and parity on sex-based discrepancies in preclinical atherosclerosis and on the diagnostic performance of a cardiovascular risk scale. DESIGN: Cross-sectional study. SETTING: Single tertiary hospital. PATIENTS: 728 T1D (48.5% women) without cardiovascular disease and age ≥40 years, nephropathy, and/or ≥10 years of diabetes duration with another risk factor. INTERVENTION: Standardized carotid ultrasonography. MAIN OUTCOME MEASURES: Carotid plaque determined by ultrasonography and cardiovascular risk estimated according to the Steno T1 Risk Engine (Steno-Risk). RESULTS: Nulliparous women and parous women without previous preeclampsia had a lower risk for carotid plaque than men (adjusted odds ratio [OR]: 0.48, 95% confidence interval [0.28-0.82]; adjusted OR: 0.51 [0.33-0.79], respectively), without differences in the preeclampsia group. The prevalence of carotid plaque increased as the estimated cardiovascular risk increased in all subgroups except for preeclampsia group. The area under the curve (AUC) of the Steno-Risk for identifying ≥2 carotid plaques was lower in the preeclampsia group (men: 0.7886, nulliparous women: 0.9026, women without preeclampsia: 0.8230, preeclampsia group: 0.7841; p between groups=0.042). Neither the addition of parity nor preeclampsia in the Steno-Risk led to a statistically significant increase in the AUC. CONCLUSIONS: The risk for carotid plaque in women compared to men decreased as exposure to obstetric factors diminished. However, the addition of these factors did not improve the prediction of the Steno-Risk.

Effectiveness of flash glucose monitoring in patients with type 1 diabetes and recurrent hypoglycemia between early and late stages after flash glucose monitoring initiation.

AIMS: Evaluate the effectiveness of reimbursed flash glucose monitoring with optional alarms (FGM) in preventing severe hypoglycemia (SH) and reducing hypoglycemia exposure in T1D patients prone to hypoglycemia. METHODS: Ambispective study in T1D patients treated with multiple daily injections (MDI) and prone to hypoglycemia, initiating reimbursed FGM (FreeStyle Libre 2). The primary outcome was the number of SH events (requiring third party assistance) and main secondary outcomes were time below range < 70 (TBR < 70) and < 54 mg/dL (TBR < 54), impaired awareness of hypoglycemia (IAH) and quality of life (QoL). Logistic regression models were constructed to explore variables associated with success of the intervention. RESULTS: We included 110 patients (52.7 % women, mean age 47.8 ± 17.0 years). SH events at 1-year follow-up decreased from 0.3 ± 0.6 to 0.03 ± 0.2 (p < 0.001). Significant reductions in patients presenting an SH (26.4 % vs. 2.9 %, p < 0.001) and IAH (47.1 % vs. 25.9 %, p = 0.002) were observed, as well as improvements in QoL. TBR < 70 and TBR < 54 were not significantly reduced. Baseline GMI was inversely associated with a decrease in TBR < 70 [OR 0.37 (0.15-0.93)] and directly with an increase in time in range 70-180 mg/dL [OR 2.10 (1.03-4.28)]. CONCLUSIONS: FGM decreased SH and improved hypoglycemia awareness and QoL. Initial tight glycemic control was associated with a decrease in hypoglycemia, while patients with suboptimal control reduced hyperglycemia.

Epidemiology of the first-ever cardiovascular event in people with type 1 diabetes: a retrospective cohort population-based study in Catalonia.

BACKGROUND: Knowledge of the characteristics of first-ever cardiovascular events in type 1 diabetes may impact primary prevention strategies. This study describes the first-ever manifestation of cardiovascular disease (CVD) in patients with type 1 diabetes (T1D) in Catalonia (Spain) and evaluates differences according to age and sex. METHODS: Retrospective cohort study of patients with T1D > 30 years without CVD before 2010 registered in the SIDIAP database. The occurrence of a first cardiovascular event up to the end of 2016, the type of CV event and associations with baseline characteristics were analysed. RESULTS: Of 8412 patients, 884 suffered a first CV event (incidence rate 1.62 per 100 persons-years). Overall, peripheral vascular disease (39.5%) was the most frequent event. We observed a higher proportion of heart failure in women (21.7%) than in men (10.1%). In women, heart failure was the most frequent event in those > 65 years (40.5%). Decreased glomerular filtration rate (hazard ratio [HR] 5.42 [95% CI 4.32;6.80]), elevated albumin/creatinine ratio (HR 3.39 [95% CI [2.47;4.66], microvascular complications (HR 3.27 [95% CI 2.85;3.75]), and hypertension (HR 3.21 [95% CI [2.80;3.67]) were most strongly associated with a first CV event. HbA1c > 7.0% was associated with incident CVD only in patients aged < 55/60 years. CONCLUSIONS: Peripheral artery disease in the whole cohort, and heart failure in elder subjects are the most frequent first-ever CVD events in T1D in our region. These findings deserve to be taken into account when considering primary prevention measures and when estimating CV risk in people with T1D.

Characteristics of people with type 1 diabetes who use technology in their treatment and who use frequently the technical assistance teleconsultation service.

INTRODUCTION: Technical issues related to continuous subcutaneous insulin infusion (CSII), associated or not with continuous glucose monitoring (SAP), are handled by tele-technical assistance from the manufacturer. We analyze the characteristics of the most demanding patients of technical teleassistance. MATERIAL AND METHODS: Patients with type 1 diabetes (T1D) in treatment with CSII or SAP, who made use of technical teleassistance from 01/01/2017 to 02/28/2021 (2298 consultations) were included. We selected the group of patients who made ≥10 calls (90th percentile, P90) and the one who made a single call (10th percentile, P10). The number and most frequent reasons for consultation, clinical characteristics and HbA1c were collected and both groups were compared. RESULTS: 51 patients (P90) made a total of 876 calls (38.1% of calls), 32 used SAP. The most frequent reason for consultation was related to continuous glucose monitoring (36.8%). 51 (P10) made 51 calls (2.2%), 3 used SAP. The most frequent reason for consultation was related to device damage (25.5%). The most demanding patients used SAP more frequently (62.7 vs. 5.9%, P < .001), had been in advanced treatment for less time (7.1 ±â€¯5.5 vs. 12.1 ±â€¯6.2 years, P < .001) and their HbA1c was lower (7.2 ±â€¯0.9 vs 7.6 ±â€¯0.8%). CONCLUSIONS: Most of the calls to the technical teleassistance service for ISCI/SAP devices come from a more demanding group of people with T1D. The greatest demand is concentrated in patients who use SAP, with a shorter time of use of advanced therapy and a better degree of glucose control.

Advanced lipoprotein profile identifies atherosclerosis better than conventional lipids in type 1 diabetes at high cardiovascular risk.

BACKGROUND AND AIMS: People with type 1 diabetes (T1D) present lipoprotein disturbances that could contribute to their increased cardiovascular disease (CVD) risk. We evaluated the relationship between lipoprotein alterations and atherosclerosis in patients with T1D. METHODS AND RESULTS: Cross-sectional study in subjects with T1D, without previous CVD, but high-risk (≥40 years, nephropathy, or ≥10 years of evolution of diabetes with another risk factor). The presence of plaque (intima-media thickness ≥1.5 mm) in the different carotid segments was determined by ultrasound. The advanced lipoprotein profile was analysed by magnetic resonance imaging (1H NMR). We included 189 patients (42% women, 47.8 ± 10.7 years, duration of diabetes 27.3 ± 10.1 years, HbA1c 7.5% [7-8]). Those with carotid plaques (35%) were older, with longer diabetes duration, had a higher prevalence of hypertension, and showed lower and smaller LDL particles (LDL-P) and HDL particles (HDL-P), but higher VLDL particles (VLDL-P). Some LDL, HDL and VLDL-related parameters were associated with atherosclerosis in sex, age and statin use adjusted models (p < 0.05), but after adjusting for multiple confounders, including conventional lipid parameters, only HDL-P (OR 0.440 [0.204-0.951]; p = 0.037), medium HDL-P (OR 0.754 [0.590-0.963]; p = 0.024), HDL-P cholesterol content (OR 0.692 [0.495-0.968]; p = 0.032), 1H NMR LDL-P number/conventional LDL-cholesterol (OR 1.144 [1.026-1.275]; p = 0.015), and 1H NMR non-HDL particle number/conventional non-HDL-cholesterol ratios (OR 1.178 [1.019-1.361], p = 0.026) remained associated with atherosclerosis. CONCLUSIONS: In adults with T1D at high-risk, variables related to HDL, LDL and total atherogenic particle number are independently associated with preclinical atherosclerosis. Advanced lipoprotein profiling could be used to identify those at the highest risk of CVD.

Nuclear Magnetic Resonance-Based Lipidomics in the Assessment of Cardiometabolic Risk in Type 1 Diabetes: An Exploratory Analysis.

INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of mortality in type 1 diabetes (T1D). However, there is a need for daily practice tools for identifying those more prone to suffer from these events. We aimed to assess the relationships between nuclear magnetic resonance (1H NMR)-based lipidomic analysis and several CVD risk variables (including preclinical carotid atherosclerosis) in individuals with T1D at high risk. METHODS: We included patients with T1D without CVD, with at least one of the following: age ≥ 40 years, diabetic kidney disease, or ≥ 10 years of evolution with another risk factor. The presence of plaque (intima-media thickness > 1.5 mm) was determined by standardized ultrasonography protocol. Lipidomic analysis was performed by 1H NMR. Bivariate and multivariate-adjusted differences in 1H NMR lipidomics were evaluated. RESULTS: We included n = 131 participants (49.6% female, age 46.4 ± 10.3 years, diabetes duration 27.0 ± 9.5 years, 47.3% on statins). Carotid plaques were present in 28.2% of the individuals (n = 12, with ≥ 3 plaques). Glucose (HbA1c), anthropometric (body mass index and waist circumference), and insulin resistance-related (fatty liver index and estimated glucose disposal rate) variables were those most associated with 1H NMR-derived lipidomic analysis (p < 0.01 for all). Regarding preclinical atherosclerosis, sphingomyelin was independently associated with carotid plaque presence (for 0.1 mmol/L increase, OR 0.50 [0.28-0.86]; p = 0.013), even after adjusting for age, sex, hypertension, statin use, mean 5-year HbA1c and diabetes duration. Furthermore, linoleic acid and ω-6 fatty acids remained independently associated with higher plaque burden (≥ 3 plaques) in multivariate models (0.17 [0.03-0.93] and 0.27 [0.07-0.97], respectively; p < 0.05 for both). CONCLUSION: In our preliminary study of individuals with T1D at high risk, several 1H NMR-derived lipidomic parameters were independently associated with preclinical atherosclerosis. Specifically, ω-6 fatty acids and linoleic acid seem promising for identifying those with higher plaque burden.

Use of the Steno T1 Risk Engine Identifies Preclinical Atherosclerosis Better Than Use of ESC/EASD-2019 in Adult Subjects With Type 1 Diabetes at High Risk.

OBJECTIVE: To evaluate the concordance between the 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD (ESC/EASD-2019) and the Steno T1 Risk Engine (Steno-Risk) cardiovascular risk scales for individuals with type 1 diabetes (T1D) without cardiovascular disease (CVD) and to analyze the relationships of their use with identification of preclinical atherosclerosis. RESEARCH DESIGN AND METHODS: We consecutively selected patients with T1D, without CVD, age ≥40 years, with nephropathy, and/or with ≥10 years of T1D evolution with another risk factor. The presence of plaque at different carotid segments was determined by ultrasonography. Cardiovascular risk was estimated in accord with ESC/EASD-2019 risk groups (moderate/high/very high) and the Steno-Risk (<10%, low; 10-20%, moderate; ≥20%, high), as T1D-specific scores. In an exploratory analysis, we also evaluated the non-T1D-specific 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk (ACC/AHA-2013) pooled cohort equation for individuals between 40 and 79 years of age. RESULTS: We included 501 patients (53% men, mean age 48.8 years, median T1D duration 26.5 years, 41.3% harboring plaques). Concordance between T1D-specific scales was poor (κ = 0.19). A stepped increase in the presence of plaques according to Steno-Risk category was seen (18.4%, 38.2%, and 64.1%, for low, moderate, and high risk, respectively; P for trend <0.001), with no differences according to ESC/EASD-2019 (P = 0.130). Steno-Risk identified individuals with plaques, unlike ESC/EASD-2019 (area under the curve [AUC] 0.691, P < 0.001, vs. AUC 0.538, P = 0.149). Finally, in polynomial regression models (with adjustment for lipid parameters and cardioprotective treatment), irrespective of the ESC/EASD-2019 category, high risk by Steno-Risk was directly associated with atherosclerosis (in moderate/high-risk by ESC/EASD-2019 odds ratio 2.91 [95% CI 1.27-6.72] and 4.94 [2.35-10.40] for the presence of plaque and two or more plaques). Similar results were obtained with discordant higher Steno-Risk versus ACC/AHA-2013 (P < 0.001). CONCLUSIONS: Among T1D patients undergoing primary prevention, use of Steno-Risk seems to result in better recognition of individuals with atherosclerosis in comparison with ESC/EASD-2019. Notwithstanding, carotid ultrasound could improve the categorization of cardiovascular risk.

Carotid ultrasonography as a strategy to optimize cardiovascular risk management in type 1 diabetes: a cohort study.

BACKGROUND AND AIMS: Although cardiovascular disease (CVD) remains the leading cause of mortality in type 1 diabetes (T1D), the use of cardioprotective drugs is scarce. We aimed to evaluate the impact of carotid ultrasonography (US) on the improvement in cardiovascular risk factors (CVRFs) in T1D. METHODS AND RESULTS: T1D patients without CVD meeting criteria for lipid treatment according to guidelines (age ≥ 40 years, nephropathy and/or ≥ 10 years of diabetes duration with ≥ 1 additional CVRFs) were included. The carotid-US group (US-G) underwent a standardized US protocol and CVRF assessment; recommendations were made according to subclinical atherosclerosis status. The control group (CG) followed usual clinical practice. Changes in CVRFs, specially statin use and LDL cholesterol levels, at 1 year were analysed. A total of 318 patients were included (51.3% female, mean age of 49.1 years and 25.5 years of diabetes duration): 211 in the US-G and 107 in the CG. Participants in the US-G had a higher baseline LDL cholesterol than controls (114 vs. 102 mg/dL; p < 0.001). Lipid-lowering treatment was modified in 38.9% in the US-G and 6.5% in the CG (p < 0.001). At 1 year, the US-G was more frequently on statins, had lower LDL cholesterol and 27% had stopped smoking (p < 0.001 for all). Changes were more pronounced in those with plaques (p < 0.001). In multivariate analyses adjusted for age, sex and other CVRFs, belonging to the US-G was independently associated with the intensification of lipid-lowering treatment (OR 10.47 [4.06-27.01]). Propensity score-matching analysis yielded similar results (OR 20.09 [7.86-51.37]). CONCLUSION: Carotid-US is independently associated with an intensification of lipid-lowering therapy in a high-risk T1D population.

Hyperglycemia and hypoglycemia exposure are differentially associated with micro- and macrovascular complications in adults with Type 1 Diabetes.

AIMS: Evaluate the relationship between high and low exposure continuous glucose monitoring (CGM)-derived glucometrics and micro- and macrovascular complications in type 1 diabetes (T1D). METHODS: Cross-sectional study in T1D without cardiovascular disease (CVD) and with ≥ 1 of the following: ≥40 years, diabetic nephropathy, or ≥ 10 years of diabetes duration with CVD risk factors. Glucometrics were obtained over 14 consecutive days: glucose management indicator (GMI) and proportion of time < 54 (TBR < 54), <70, 70-180 (TIR), >180 (TAR). Carotid plaque was evaluated by ultrasonography. Logistic regression models adjusted for age, sex, and other risk factors were constructed to test the independent associations with chronic complications. RESULTS: We included 152 patients (54.6% men, 48.7 ± 10.0 years-old). Sixty-seven patients had plaque and n = 71 microvascular complications. TAR (OR 1.28 [1.09-1.51]) and GMI (OR 3.05 [1.46-6.36]) were directly associated with the presence of microvascular complications, while TIR had an inverse relationship (OR 0.79 [0.66-0.93]). TBR < 54 was directly associated with the presence of plaque, even after adjusting for 5-year mean HbA1c (OR 1.51 [1.07-2.13]). CONCLUSIONS: High-glucose glucometrics were independently associated with microvascular complications. Only low-glucose exposure glucometrics was significantly associated with preclinical atherosclerosis. Our data support the role of hypoglycemia in the development of CVD in this population.

Results of a multidisciplinary strategy to improve the management of cardiovascular risk factors after liver transplantation.

Although liver transplantation (LT) recipients are at high cardiovascular risk (CVR), the management of CVR factors (CVRF) after LT is far from optimal and needs to be improved. For this reason, we developed a multidisciplinary protocol to standardize the identification, risk stratification, management, and targets of therapy of CVRF during the first post-LT year. The grade of identification and control of CVRF 12 months after LT in the postintervention cohort (LT January 2018-January 2020, n = 150) were compared with a control cohort who underwent LT between July 2015 and December 2016 (n = 100). Before LT, the prevalence of metabolic-associated fatty liver disease as the indication of LT and the presence of obesity were significantly higher in the postintervention cohort, whereas the prevalence of other CVRF and renal dysfunction tended to be higher. Cyclosporine A was used less frequently in the postintervention cohort, whereas everolimus tended to increase. At 12 months after LT, the proportion of patients with measured blood pressure (88% vs. 56%), glycosilated hemoglobin (HbA1c; 96% vs. 72%), and high-density lipoprotein/low-density lipoprotein cholesterol (67% vs. 33%) was higher in the postintervention than in the control cohort (all p < 0.001). Blood pressure (64% vs. 36%, p = 0.02) and HbA1c (85% vs. 70%, p = 0.1) were within target in more individuals with hypertension and diabetes mellitus, respectively, in the postintervention cohort. Median total cholesterol levels were lower in the postintervention (184 mg/dl; interquartile range [IQR], 160-210 mg/dl) than in the control cohort (212 mg/dl; IQR, 186-240 mg/dl; p = 0.02). At 2 years after LT, the incidence of cardiovascular events was 14% in the control cohort and 6% in the postintervention cohort (p = 0.063). In conclusion, a multidisciplinary, multiprofessional strategy can achieve a higher grade of assessment and management of post-LT CVR despite a worsening metabolic profile of LT recipients.

A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin.

Nocturnal hypoglycemia (NH) is one of the most challenging events for multiple dose insulin therapy (MDI) in people with type 1 diabetes (T1D). The goal of this study is to design a method to reduce the incidence of NH in people with T1D under MDI therapy, providing a decision-support system and improving confidence toward self-management of the disease considering the dataset used by Bertachi et al. Different machine learning (ML) algorithms, data sources, optimization metrics and mitigation measures to predict and avoid NH events have been studied. In addition, we have designed population and personalized models and studied the generalizability of the models and the influence of physical activity (PA) on them. Obtaining 30 g of rescue carbohydrates (CHO) is the optimal value for preventing NH, so it can be asserted that this is the value with which the time under 70 mg/dL decreases the most, with almost a 35% reduction, while increasing the time in the target range by 1.3%. This study supports the feasibility of using ML techniques to address the prediction of NH in patients with T1D under MDI therapy, using continuous glucose monitoring (CGM) and a PA tracker. The results obtained prove that BG predictions can not only be critical in achieving safer diabetes management, but also assist physicians and patients to make better and safer decisions regarding insulin therapy and their day-to-day lives.

Biomarkers of fatty acid intake are independently associated with preclinical atherosclerosis in individuals with type 1 diabetes.

PURPOSE: Information on the association between diet and cardiovascular disease (CVD) in type 1 diabetes (T1D) is scarce. We assessed the association between biomarkers of fatty acid (FA) intake and the presence of carotid plaques (a surrogate marker of future CVD events) in this high-risk population. METHODS: Cross-sectional study in 167 consecutive T1D patients without CVD and with at least one of the following: ≥ 40 years, diabetic nephropathy, or ≥ 10 years of T1D duration with another CVD risk factor. The FA profile of erythrocyte membranes was determined by gas chromatography, and the number of carotid plaques (intima-media thickness ≥ 1.5 mm) was assessed by ultrasonography. Regression models were constructed adjusting for classical (age, gender, blood pressure, smoking habit, LDL-cholesterol, body mass index and statins) and T1D-specific risk factors (diabetes duration, HbA1c and chronic complications). RESULTS: A total of 58.7% were men (mean age 48.3 ± 10.3 years, T1D duration 27.2 ± 10.1 years). Sixty-one patients (36.5%) showed carotid plaque. Linoleic acid decreased and all-C18:1trans increased with the number of carotid plaques (none, 1-2, ≥ 3 plaques; p for trend < 0.05). In multivariate regression models, linoleic acid remained inversely associated with the presence of plaque [1% increase of total FAs; OR 0.71 (0.53-0.95), p = 0.021] and ≥ 2 plaques [OR 0.70 (0.51-0.98), p = 0.039]; whereas, all-C18:1trans was positively associated with ≥ 3 plaques (0.1% increase of total FAs; OR 1.51 [1.05-2.16], p = 0.026). CONCLUSIONS: Erythrocyte FA composition, as a biomarker of FA intake, was independently associated with preclinical atherosclerosis in T1DM. Our data support the potential role of an unfavorable pattern of fat intake and CVD risk in this population.

Secondary hypertriglyceridemia. / Hipertrigliceridemias secundarias.

Secondary hypertriglyceridemia (HTG) are the most common cause of excess triglyceride rich particles in plasma. Faced with HTG, the first thing to do is rule out if there is a secondary cause since it can interact with genetic susceptibility and further aggravate the HTG. The most common causes are diet with high fat and high glycemic index, obesity, diabetes mellitus, alcohol consumption, renal disease like nephrotic syndrome, hepatic disorders and medications. The most important medications that can influence in HTG are oestrogen, isotretinoin, immunosuppressant therapy, L-asparaginase and with less effect thiazides, beta blockers, atypical antipsychotics and glucocorticoids. Other causes less frequent are endocrinological diseases such as Cushing's syndrome, acromegaly, hypothyroidism; pregnancy, lipodystrophies and autoimmune diseases. Lastly, the identifications and treatment or correction of secondary causes is a corner stone in the treatment of this disease.