Fracture and plastering of distal left main stent during double-kissing Culotte technique: a case report.

Background: Acute fracture of a left main (LM) stent during angioplasty is a rare complication. Cardiologists should be aware of the risk of stent fracture (SF) following kissing balloon inflation (KBI) even if the effective diameter of the balloons does not exceed the recommended expansion limits of stents. Case summary: A 64-year-old female with hypertension and dyslipidaemia presented with crescendo angina since three months in spite of optimal medical therapy. Coronary angiogram showed a distal LM bifurcation lesion. The patient was admitted for LM bifurcation stenting by upfront two-stent technique (inverted double-kissing Culotte technique). Following first KBI of the stent placed from left circumflex artery (LCX) to LM, there was stent deformation in the LM shaft. As we had planned the Culotte technique, we decided to exclude the fractured segment by stenting from left anterior descending artery (LAD) to LM. The stent from LAD-LM successfully excluded the fractured part of the first stent from the lumen of LM. Optical coherence tomography done after final KBI from LCX-LM revealed successful exclusion of the deformed segment of the LCX stent with mild malapposition at the site of the deformed stent. A follow-up angiogram after six months showed normal in-stent flow with no evidence of restenosis or pseudoaneurysm. Discussion: Acute LM SF during coronary intervention can occur even if the effective cumulative diameter of the inflated balloons does not exceed the mentioned expansion limit of stents. Intravascular imaging is a helpful modality to define type of SF and its management.

Balloon mitral valvuloplasty in low gradient severe rheumatic mitral stenosis: Immediate and short-term outcomes.

Background: Efficacy of balloon mitral valvuloplasty (BMV) in low gradient severe rheumatic mitral stenosis (MS) is not very well defined. This study was undertaken to evaluate the outcomes of BMV in low gradient severe rheumatic MS. Methods: Severe MS was defined as mitral valve area < 1.5 cm2. Low gradient was defined as mean diastolic trans-mitral gradient (MG) < 10 mmHg and low flow as stroke volume index < 35 ml/m2 on echocardiography. Sixty patients were divided into normal-flow/low-gradient (NFLG) (40) and low-flow/low-gradient (LFLG) (20) groups. Post-BMV parameters were recorded after 72 h and at the end of one year. Results: Mean age was 36.2 ± 6.6 years in NFLG group and 40.6 ± 2.6 years in LFLG group (p < 0.01) and females were 75 % (n = 30) in NFLG group as compared to 60 % (n = 12) in LFLG group. Patients in the LFLG group had higher Wilkins score (p < 0.02) and prevalence of atrial fibrillation (n = 8, 40 %) as compared to NFLG group (n = 7, 17.5 %; p < 0.01). A greater decrease in MG was observed in NFLG group (p < 0.01), whereas increase in MVA was comparable in both the groups (p > 0.05). Ninety percent (n = 36) patients improved in NFLG group in comparison to 70 % (n = 14) in LFLG group (p < 0.01). At the end of one-year, symptomatic improvement persisted in all patients who became asymptomatic post-BMV. Conclusion: Symptomatic improvement following BMV was better seen in NFLG group because of greater decrease in MG in comparison to LFLG group. Results of BMV were suboptimal in LFLG group because of higher sub-valvular obstruction, increased age and higher prevalence of AF.

Efficacy of nicorandil and ranolazine in prevention of contrast-induced nephropathy in patients with mild-to-moderate renal dysfunction: a randomized controlled trial.

INTRODUCTION: Contrast-induced nephropathy (CIN) is a common complication after percutaneous coronary intervention (PCI). There is conflicting evidence regarding efficacy of nicorandil in CIN prevention. With respect to ranolazine, there is physiological possibility as well as data in animal study regarding its protective effect against CIN; there is, however, no human data till date. AIM AND OBJECTIVES: To assess the efficacy of nicorandil and ranolazine in preventing CIN. The secondary endpoint was to measure difference in postprocedure acute kidney injury (AKI) incidence across groups. Also, patients were followed up till 6 months for major adverse events. MATERIAL AND METHODS: This single-center randomized controlled study included 315 patients of coronary artery disease with mild-to-moderate renal dysfunction undergoing elective PCI. Eligible patients were assigned to either nicorandil (n = 105), ranolazine (n = 105) or control group (n = 105) in 1 : 1 : 1 ratio by block randomization. All enrolled patients were given intravenous sodium chloride at rate of 1.0 mL/kg/h (0.5 mL/kg/h for patients with left ventricular ejection fraction <45%) from 6 h before procedure till 12 h after procedure. Iso-osmolar contrast agent (iodixanol) was used for all patients. In addition to hydration, patients in nicorandil group received oral nicorandil (10 mg, 3 times/d) and those in ranolazine group received oral ranolazine (1000 mg, 2 times/d) 1 day before procedure and for 2 days after PCI. Patients in control group received only hydration. RESULTS: Total number of CIN was 34 (10.7%), which included 19 (18.1%) in control, 8 (7.6%) in nicorandil and 7 (6.6%) in ranolazine group. There was significant association of CIN reduction across groups ( P  = 0.012). On pairwise comparison also, there was significant benefit across control and ranolazine as well as control and nicorandil ( P  < 0.025). There was numerically higher incidence of AKI in controls; the difference, however, did not reach statistical significance after applying Bonferroni correction ( P  = 0.044). Over 6-month follow-up, adverse events were similar across groups. CONCLUSION: While this study adds to existing literature that supports role for nicorandil in CIN prevention, the efficacy of ranolazine in protecting against CIN has been demonstrated in humans for the first time.

Impact of COVID-19 vaccination on mortality after acute myocardial infarction.

BACKGROUND: COVID-19 vaccines are highly immunogenic but cardiovascular effects of these vaccines have not been properly elucidated. OBJECTIVES: To determine impact of COVID-19 vaccination on mortality following acute myocardial infarction (AMI). METHODS: This was a single center retrospective observation study among patients with AMI enrolled in the the North India ST-Elevation Myocardial Infarction (NORIN-STEMI) registry. In all the enrolled patients, data regarding patient's vaccination status including details on type of vaccine, date of vaccination and adverse effects were obtained. All enrolled subjects were followed up for a period of six months. The primary outcome of the study was all-cause mortality both at one month and at six months of follow-up. Propensity-weighted score logistic regression model using inverse probability of treatment weighting was used to determine the impact of vaccination status on all-cause mortality. RESULTS: A total of 1578 subjects were enrolled in the study of whom 1086(68.8%) were vaccinated against COVID-19 while 492(31.2%) were unvaccinated. Analysis of the temporal trends of occurrence of AMI post vaccination did not show a specific clustering of AMI at any particular time. On 30-day follow-up, all-cause mortality occurred in 201(12.7%) patients with adjusted odds of mortality being significantly lower in vaccinated group (adjusted odds ratio[aOR]: 0.58, 95% CI: 0.47-0.71). Similarly, at six months of follow-up, vaccinated AMI group had lower odds of mortality(aOR: 0.54, 95% CI: 0.44 to 0.65) as compared to non-vaccinated group. CONCLUSIONS: COVID-19 vaccines have shown to decrease all-cause mortality at 30 days and six months following AMI.

Clinical Profiles, Outcomes, and Sex Differences of Patients With STEMI: Findings From the NORIN-STEMI Registry.

Background: Low- and middle-income countries account for most of the global burden of coronary artery disease. There is a paucity of data regarding epidemiology and outcomes for ST-segment elevation myocardial infarction (STEMI) patients in these regions. Objectives: The authors studied the contemporary characteristics, practice patterns, outcomes, and sex differences in patients with STEMI in India. Methods: NORIN-STEMI (North India ST-Segment Elevation Myocardial Infarction Registry) is an investigator-initiated prospective cohort study of patients presenting with STEMI at tertiary medical centers in North India. Results: Of 3,635 participants, 16% were female patients, one-third were <50 years of age, 53% had a history of smoking, 29% hypertension, and 24% diabetes. The median time from symptom onset to coronary angiography was 71 hours; the majority (93%) presented first to a non-percutaneous coronary intervention (PCI)-capable facility. Almost all received aspirin, statin, P2Y12 inhibitors, and heparin on presentation; 66% were treated with PCI (98% femoral access) and 13% received fibrinolytics. The left ventricular ejection fraction was <40% in 46% of patients. The 30-day and 1-year mortality rates were 9% and 11%, respectively. Compared with male patients, female patients were less likely to receive PCI (62% vs 73%; P < 0.0001) and had a more than 2-fold greater 1-year mortality (22% vs 9%; adjusted HR: 2.1; 95% CI: 1.7-2.7; P < 0.001). Conclusions: In this contemporary registry of patients with STEMI in India, female patients were less likely to receive PCI after STEMI and had a higher 1-year mortality compared with male patients. These findings have important public health implications, and further efforts are required to reduce these gaps.

Effect of prasugrel versus ticagrelor on coronary microcirculation in patients undergoing pharmacoinvasive strategy - acute and short-term results.

INTRODUCTION: Both ticagrelor and prasugrel are class I recommendations for treatment of ST-elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) [ 1 ]. But clinical outcomes with the two drugs are conflicting which might be due to differential effects on coronary microcirculation. No study to date had compared the effects of prasugrel or ticagrelor on coronary microcirculation in patients undergoing pharmacoinvasive PCI (pPCI). AIM AND OBJECTIVE: To compare the effects of prasugrel and ticagrelor on coronary microcirculation in STEMI patients undergoing pPCI as assessed by Myocardial Blush Grade (MBG). The secondary aim was to assess flow in the infarct-related artery by corrected thrombolysis in myocardial infarction (TIMI) frame count (cTFC) and whether a differential effect if detected on coronary microcirculation translated in improvement in left ventricular ejection fraction assessed at 6 months. MATERIAL AND METHODS: A total of 240 patients with STEMI were evaluated in this open-label randomized control trial who initially underwent thrombolysis and later PCI (from 24 to 48 h) post-successful thrombolysis. The study subjects were randomized to receive either ticagrelor ( n  = 120) or prasugrel ( n  = 120) in 1 : 1 ratio 2 h prior to elective PCI. Patients underwent PCI according to standard protocol and post-procedure cTFC and MBG were compared. Patients were also followed up for 6 months to compare ejection fractions in both groups. We also assessed the effect of the two drugs on bleeding complications during hospitalization and over 6-month follow-up period. RESULTS: There were no significant differences between the two groups with respect to baseline characteristics. Prasugrel administration resulted in higher MBG Grade 3 (50.86% vs 33.89%, P  = 0.012) and lower cTFC (17.14 ±â€…4.08 vs 19.3 ±â€…4.06, P  < 0.01). Improvement in ejection fraction was significantly higher with prasugrel compared to ticagrelor (10.29% ± 15.2 vs 4.66% ± 13.5, P  = 0.003). Bleeding events at 6 months follow-up according to TIMI classification were similar in both the groups (11.86% vs 6.9%, P  = 0.39). CONCLUSION: Prasugrel produces greater improvement in coronary microcirculation than Ticagrelor resulting in improved myocardial salvage in patients of STEMI undergoing pPCI.

Psychosocial stress and well-being in patients presenting with acute myocardial infarction in a tertiary care center.

BACKGROUND: Psychosocial factors such as stress have been previously implicated as a risk factor for cardiovascular diseases (CVDs). There is little evidence regarding the prevalence of stress among patients with acute myocardial infarction (AMI). METHODS: A total of 903 patients with AMI enrolled in the North Indian ST-Segment Elevation Myocardial Infarction (NORIN-STEMI) registry were included in this study. Perceived stress in these subjects was evaluated using the Perceived Stress Scale-10 questionnaire while the World health Organization (WHO-5) Well-being Index was used to evaluate psychological well-being. All these patients were followed up for one month and major adverse cardiac events (MACE) were determined. RESULTS: A majority of patients with AMI had either severe (478 [52.9%]) or moderate stress (347 [38.4%]) while low stress levels were observed in 78 [8.6%] patients. Additionally, most of the patients with AMI (478 [53%]) had WHO-5 well-being index <50%. Subjects with severe stress were younger (50.86 ± 13.31; P < 0.0001), more likely to be males (403 [84.30%]; P = 0.027), were less likely to have optimal level of physical activity (P < 0.0001) and had lower WHO-5 well-being score (45.54 ± 1.94%; P < 0.0001) as compared to those with low and moderate stress levels. On 30-days follow-up, subjects with moderate/severe stress had higher MACE however, the difference was non-significant (2.1% vs 1.04%; P = 0.42). CONCLUSION: A high prevalence of perceived stress and low well-being index was observed in patients presenting with AMI in India.

R wave peak time and no reflow following primary percutaneous coronary intervention: Immediate and short-term outcomes.

BACKGROUND: No reflow (NR) remains an important constraint in management of ST elevation myocardial Infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI). Most ECG parameters validated till date including ST resolution are postprocedural. R wave peak time (RWPT) is a dynamic parameter and reflects conduction delay in ischaemic myocardium in selected leads supplied by infarct related artery (IRA). The present study was undertaken to see whether preprocedural RWPT per se or RWPT following primary PCI can predict persistence of NR along with immediate and short-term clinical outcome. METHODS: 200 patients were enrolled after exclusion. Clinical, Biochemical, ECG parameters including RPWT and angiographic parameters (pre- and post-procedure) were recorded. ECG papers was analysed using digital image processing software (http://imagej.nih.gov/ij/). All patients were followed up for 6 months. RESULTS: NR was observed in 35% of the patients. Age, Diabetes, symptom to balloon time, higher thrombus burden, peak CPK-MB level (pre and post procedure) were significantly higher in NR group. On ECG analysis, baseline RWPT, QRS duration and pathological Q wave were significantly higher in NR group. On multivariate analysis, age (OR 1.10 CI 1.00-1.21 P = 0.04), thrombus grade ≥ 3 in IRA (OR 12.38 CI 2.08-73.58 P = 0.006), symptom to balloon time (OR 2.18 CI 1.6-3.0 P < 0.001) and baseline RWPT on ECG [OR 1.86 CI 1.24-2.78, P = 0.003] were found to be independent predictors of NR. Increase in RWPT following primary PCI was found to both highly sensitive and specific for diagnosing persistence of NR after primary PCI. Follow up at the end of 6 months has shown that patients with increased RWPT following primary PCI had worse short-term cardiovascular outcomes compared to those with decreased RWPT following primary PCI. CONCLUSION: Baseline RWPT is a significant predictor of NR in patients of STEMI undergoing primary PCI. A persistently increased RWPT following primary PCI is also a highly sensitive and specific ECG marker of persistence of NR which is associated with adverse short-term clinical outcome.

Heterogeneous recurrent spiking neural network for spatio-temporal classification.

Spiking Neural Networks are often touted as brain-inspired learning models for the third wave of Artificial Intelligence. Although recent SNNs trained with supervised backpropagation show classification accuracy comparable to deep networks, the performance of unsupervised learning-based SNNs remains much lower. This paper presents a heterogeneous recurrent spiking neural network (HRSNN) with unsupervised learning for spatio-temporal classification of video activity recognition tasks on RGB (KTH, UCF11, UCF101) and event-based datasets (DVS128 Gesture). We observed an accuracy of 94.32% for the KTH dataset, 79.58% and 77.53% for the UCF11 and UCF101 datasets, respectively, and an accuracy of 96.54% on the event-based DVS Gesture dataset using the novel unsupervised HRSNN model. The key novelty of the HRSNN is that the recurrent layer in HRSNN consists of heterogeneous neurons with varying firing/relaxation dynamics, and they are trained via heterogeneous spike-time-dependent-plasticity (STDP) with varying learning dynamics for each synapse. We show that this novel combination of heterogeneity in architecture and learning method outperforms current homogeneous spiking neural networks. We further show that HRSNN can achieve similar performance to state-of-the-art backpropagation trained supervised SNN, but with less computation (fewer neurons and sparse connection) and less training data.

Novel lipid biomarkers and associated gene polymorphism in young ST-segment elevation myocardial infarction.

BACKGROUND: There is an increasing prevalence of coronary artery disease (CAD) in younger individuals. Lipid biomarkers such as lipoprotein-a (Lp-a), Apo A1, Apo B and Paraoxonase-1 (PON1) serve as important risk predictors for development of CAD. There is little evidence regarding the role of lipid biomarkers and their genetic polymorphisms in young (<50 years) ST-segment elevation myocardial infarction (STEMI) patients. METHODS: This study included 110 young (18-50 years) STEMI patients and 110 healthy controls. Serum levels of Apo A1, Apo B, Paraoxonase-1 (PON-1) and Lipoprotein-associated phospholipase A2 (Lp-PLA2) were estimated for both patients as well as controls. Additionally, genetic polymorphisms in the Apo A1 (75G/A) and the PON1 (Q192R) genes were evaluated. RESULTS: Serum levels of apo B (101.31 ± 27.58 vs 75.31 ± 18.77 mg/dl; p < 0.0001), Lp(a) [87.56 ± 74.28 vs 25.81 ± 24.66 mg/dl, p < 0.0001] and Lp-PLA2 [5.97 ± 1.39 vs 3.49 ± 1.27 ng/mL, p < 0.0001] were significantly higher in patients as compared to controls. Serum levels of Apo A1 [44.76 ± 35.65 vs 95.97 ± 29.89; p < 0.0001] and PON1 [2.63 ± 1.5 vs 3.87 ± 1.47 ng/mL, p < 0.0001] were significantly lower in cases as compared with controls. Additionally, patients with genetic polymorphisms in the Apo A1 (75G/A) and the PON1 (Q192R) gene had an increased risk of STEMI. CONCLUSION: Lipid biomarkers such as Apo A1, Apo B and PON1 and their genetic polymorphism are associated with the susceptibility for STEMI in young individuals.

Management of diabetic dyslipidemia in Indians: Expert consensus statement from the Lipid Association of India.

In 2021 an estimated 74 million individuals had diabetes in India, almost all type 2 diabetes. More than half of patients with diabetes are estimated to be undiagnosed and more 90% have dyslipidemia that is associated with accelerated development of atherosclerotic cardiovascular disease (ASCVD). Patients of Indian descent with diabetes have multiple features that distinguish them from patients with diabetes in Western populations. These include characteristics such as earlier age of onset, higher frequency of features of the metabolic syndrome, more prevalent risk factors for ASCVD, and more aggressive course of ASCVD complications. In light of the unique features of diabetes and diabetic dyslipidemia in individuals of Indian descent, the Lipid Association of India developed this expert consensus statement to provide guidance for management of diabetic dyslipidemia in this very high risk population. The recommendations contained herein are the outgrowth of a series of 165 webinars conducted by the Lipid Association of India across the country from May 2020 to July 2021, involving 155 experts in endocrinology and cardiology and an additional 2880 physicians.

Machine learning approaches for ray-based ocean acoustic tomography.

Underwater sound propagation is primarily driven by a nonlinear forward model relating variability of the ocean sound speed profile (SSP) to the acoustic observations (e.g., eigenray arrival times). Ocean acoustic tomography (OAT) methods aim at reconstructing SSP variations (with respect to a reference environment) from changes of the acoustic measurements between multiple source-receiver pairs. This article investigates the performance of three different OAT methods: (1) model-based methods (i.e., classical ray-based OAT using a linearized forward model), (2) data-driven methods (such as deep learning) to directly learn the inverse model, and (3) a hybrid solution [i.e., the neural adjoint (NA) method], which combines deep learning of the forward model with a standard recursive optimization to estimate SSPs. Additionally, synthetic SSPs were generated to augment the variability of the training set. These methods were tested with modeled ray arrivals calculated for a downward refracting environment with mild fluctuations of the thermocline. Idealized towed and fixed source configurations are considered. Results indicate that merging data-driven and model-based methods can benefit OAT predictions depending on the selected sensing configurations and actual ray coverage of the water column. But ultimately, the robustness of OAT predictions depends on the dynamics of the SSP variations.

Matrix metalloproteinases and their gene polymorphism in young ST-segment elevation myocardial infarction.

BACKGROUND: Genetic polymorphism in MMPs are associated with multiple adverse CV events. There is little evidence regarding role of MMPs and their genetic polymorphisms in young (<50 years) ST-segment elevation myocardial infarction (STEMI) patients. METHODS: This study included 100 young (18-50 years) STEMI patients and 100 healthy controls. Serum levels of MMP-3, MMP-9 and TIMP were estimated for both patients as well as controls. Additionally, genetic polymorphisms in the MMP-9 gene (-1562 C/T and R279Q) & MMP-3 gene (5A/6A-1612) was evaluated. All these patients were followed up for one year and major adverse cardiac events (MACE) were determined. RESULTS: Serum levels of MMP-3 (128.16 ± 115.81 vs 102.3 ± 57.28 ng/mL; P = 0.04), MMP-9 (469.63 ± 238.4 vs 188.88 ± 94.08 pg/mL; P < 0.0001) and TIMP (5.84 ± 1.93 vs 2.28 ± 1.42 ng/mL; P < 0.0001) were significantly higher in patients as compared to controls. Additionally, patients with genetic polymorphisms in the MMP genes (5A/5A, 6A/6A and the AG genotypes) had an increased risk of STEMI. Patients with MACE had significantly higher levels of MMP-9 (581.73 ± 260.93 vs 438.01 ± 223.38 pg/mL; P = 0.012). A cutoff value of 375.5 pg/mL of MMP-9 was best able to discriminate patients with STEMI and MACE with sensitivity of 77.3% and specificity of 57%. CONCLUSION: Novel biomarkers such as MMP-3, MMP-9 and TIMP and their genetic polymorphism are associated with the susceptibility for STEMI in young individuals. Higher MMP-9 levels in STEMI patients with MACE suggests its potential role in predicting cardiac remodeling and left ventricular dysfunction.

Gender differences in genotypic distribution of endothelin-1 gene and endothelin receptor A gene in pulmonary hypertension associated with rheumatic mitral valve disease.

INTRODUCTION: The female gender is a risk factor for idiopathic pulmonary arterial hypertension. However, it is unknown whether females with rheumatic mitral valve disease are more predisposed to develop pulmonary hypertension compared to males. AIM: We aimed to investigate whether there was a difference in genotypic distribution of endothelin-1 (ET-1) and endothelin receptor A (ETA) genes between female and male patients of pulmonary hypertension associated with rheumatic mitral valve disease (PH-MVD). METHODS: We compared prevalence of ET-1 gene (Lys198Asn) and ETA gene (His323His) polymorphisms according to gender in 123 PH-MVD subjects and 123 healthy controls. RESULTS: The presence of mutant Asn/Asn and either mutant Asn/Asn or heterozygous Lys/Asn genotypes of Lys198Asn polymorphism when compared to Lys/Lys in females showed significant association with higher risk (odds ratio [OR] 4.5; p =0.007 and OR 2.39; p =0.02, respectively). The presence of heterozygous C/T and either mutant T/T or heterozygous C/T genotypes of His323His polymorphism when compared to wild C/C genotype in females showed a significant association with higher risk (OR 1.96; p =0.047 and OR 2.26; p =0.01, respectively). No significant difference was seen in genotypic frequencies in males between PH-MVD subjects and controls. Logistic regression analysis showed that mutant genotype Asn/Asn (p =0.007) and heterozygous genotype Lys/Asn of Lys198Asn polymorphism (p =0.018) were independent predictors of development of PH in females. CONCLUSIONS: ET-1 and ETA gene polymorphisms were more prevalent in females than males in PH-MVD signifying that females with rheumatic heart disease may be more susceptible to develop PH.

Missed Opportunities for Screening and Management of Dysglycemia among Patients Presenting with Acute Myocardial Infarction in North India: The Prospective NORIN STEMI Registry.

Background: Dysglycemia is a major and increasingly prevalent cardiometabolic risk factor worldwide, but is often undiagnosed even in high-risk patients. We evaluated the impact of protocolized screening for dysglycemia on the prevalence of prediabetes and diabetes among patients presenting with ST-segment elevation myocardial infarction (STEMI) in North India. Methods: We conducted a prospective NORIN STEMI registry-based study of patients presenting with STEMI to two government-funded tertiary care medical centers in New Delhi, India, from January to November 2019. Hemoglobin A1c (HbA1c) was collected at presentation as part of the study protocol, irrespective of baseline glycemic status. Results: Among 3,523 participants (median age 55 years), 855 (24%) had known diabetes. In this group, baseline treatment with statins, sodium-glucose cotransporter 2 inhibitors, or glucagon-like peptide-1 receptor agonists was observed in 14%, <1%, and 1% of patients, respectively. For patients without known diabetes, protocolized inpatient screening identified 737 (28%) to have prediabetes (HbA1c 5.7-6.4%) and 339 (13%) to have newly detected diabetes (HbA1c ≥ 6.5%). Patients with prediabetes (49%), newly detected diabetes (53%), and established diabetes (48%) experienced higher rates of post-MI LV dysfunction as compared to euglycemic patients (42%). In-hospital mortality (5.6% for prediabetes, 5.1% for newly detected diabetes, 10.3% for established diabetes, 4.3% for euglycemia) and 30-day mortality (8.1%, 7.6%, 14.4%, 6.6%) were higher in patients with dysglycemia. Compared with euglycemia, prediabetes (adjusted odds ratio (aOR) 1.44 [1.12-1.85]), newly detected diabetes (aOR 1.57 [1.13-2.18]), and established diabetes (aOR 1.51 [1.19-1.94]) were independently associated with higher odds of composite 30-day all-cause mortality or readmission. Conclusions: Among patients presenting with STEMI in North India, protocolized HbA1c screening doubled the proportion of patients with known dysglycemia. Dysglycemia was associated with worse clinical outcomes at 30 days, and use of established pharmacotherapeutic risk-reduction strategies among patients with known diabetes was rare, highlighting missed opportunities for screening and management of dysglycemia among high-risk patients in North India.

Unmet Need for Further LDL-C Lowering in India despite Statin Therapy: Lipid Association of India Recommendations for the Use of Bempedoic Acid.

Lipid-lowering therapy plays a crucial role in reducing adverse cardiovascular (CV) events in patients with established atherosclerotic cardiovascular disease (ASCVD) and familial hypercholesterolemia. Lifestyle interventions along with high-intensity statin therapy are the first-line management strategy followed by ezetimibe. Only about 20-30% of patients who are on maximally tolerated statins reach recommended low-density lipoprotein cholesterol (LDL-C) goals. Several factors contribute to the problem, including adherence issues, prescription of less than high-intensity statin therapy, and de-escalation of statin dosages, but in patients with very high baseline LDL-C levels, including those with familial hypercholesterolemia and those who are intolerant to statins, it is critical to expand our arsenal of LDL-C-lowering medications. Moreover, in the extreme risk group of patients with an LDL-C goal of ≤30 mg/dL according to the Lipid Association of India (LAI) risk stratification algorithm, there is a significant residual risk requiring the addition of non-statin drugs to achieve LAI recommended targets. This makes bempedoic acid a welcome addition to the existing non-statin therapies such as ezetimibe, bile acid sequestrants, and PCSK9 inhibitors. A low frequency of muscle-related side effects, minimal drug interactions, a significant reduction in high-sensitivity C-reactive protein (hsCRP), and a lower incidence of new-onset or worsening diabetes make it a useful adjunct for LDL-C lowering. However, the CV outcomes trial results are still pending. In this LAI consensus document, we discuss the pharmacology, indications, contraindications, advantages, and evidence-based recommendations for the use of bempedoic acid in clinical practice.

Unravelled multilevel transformation networks for predicting sparsely observed spatio-temporal dynamics.

In this paper, we address the problem of predicting complex, nonlinear spatio-temporal dynamics when available data are recorded at irregularly spaced sparse spatial locations. Most of the existing deep learning models for modelling spatio-temporal dynamics are either designed for data in a regular grid or struggle to uncover the spatial relations from sparse and irregularly spaced data sites. We propose a deep learning model that learns to predict unknown spatio-temporal dynamics using data from sparsely-distributed data sites. We base our approach on the radial basis function (RBF) collocation method which is often used for meshfree solution of partial differential equations. The RBF framework allows us to unravel the observed spatio-temporal function and learn the spatial interactions among data sites on the RBF-space. The learned spatial features are then used to compose multilevel transformations of the raw observations and predict its evolution in future time steps. We demonstrate the advantage of our approach using both synthetic and real-world climate data. This article is part of the theme issue 'Data-driven prediction in dynamical systems'.

Evidence for intensive LDL-C lowering for acute coronary syndrome: Recommendations from the Lipid Association of India.

Patients with acute coronary syndrome (ACS) have a high risk of subsequent adverse cardiovascular outcomes, particularly within the first 30 days. Although it is well documented that initiation of statin therapy in the setting of ACS improves short- and long-term cardiovascular outcomes, and achievement of lower levels of low density lipoprotein cholesterol (LDL-C) incrementally improves outcomes, many patients with ACS have persistent hypercholesterolemia after discharge from the hospital. This is a missed opportunity that prompted the Lipid Association of India to develop recommendations for earlier initiation of more aggressive LDL-C lowering treatment, particularly for patients of South Asian descent who are well-documented to have earlier onset of more aggressive atherosclerotic cardiovascular disease. The Lipid Association of India recommends individualized aggressive LDL-C goals after ACS, which can be rapidly achieved with high intensity statin therapy and subsequent goal-directed adjunctive treatment with ezetimibe and PCSK9 inhibitors. Improved treatment of hypercholesterolemia achieved within weeks after ACS has the potential to reduce the high rate of morbidity and mortality in these high risk patients.

MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning.

We present a processing-in-memory (PIM)-based hardware platform, referred to as MONETA, for on-chip acceleration of inference and learning in hybrid convolutional spiking neural network. MONETAuses 8T static random-access memory (SRAM)-based PIM cores for vector matrix multiplication (VMM) augmented with spike-time-dependent-plasticity (STDP) based weight update. The spiking neural network (SNN)-focused data flow is presented to minimize data movement in MONETAwhile ensuring learning accuracy. MONETAsupports on-line and on-chip training on PIM architecture. The STDP-trained convolutional neural network within SNN (ConvSNN) with the proposed data flow, 4-bit input precision, and 8-bit weight precision shows only 1.63% lower accuracy in CIFAR-10 compared to the STDP accuracy implemented by the software. Further, the proposed architecture is used to accelerate a hybrid SNN architecture that couples off-chip supervised (back propagation through time) and on-chip unsupervised (STDP) training. We also evaluate the hybrid network architecture with the proposed data flow. The accuracy of this hybrid network is 10.84% higher than STDP trained accuracy result and 1.4% higher compared to the backpropagated training-based ConvSNN result with the CIFAR-10 dataset. Physical design of MONETAin 65 nm complementary metal-oxide-semiconductor (CMOS) shows 18.69 tera operation per second (TOPS)/W, 7.25 TOPS/W and 10.41 TOPS/W power efficiencies for the inference mode, learning mode, and hybrid learning mode, respectively.

Heart rate variability as a marker of cardiovascular dysautonomia in post-COVID-19 syndrome using artificial intelligence.

INTRODUCTION: Cardiovascular dysautonomia comprising postural orthostatic tachycardia syndrome (POTS) and orthostatic hypotension (OH) is one of the presentations in COVID-19 recovered subjects. We aim to determine the prevalence of cardiovascular dysautonomia in post COVID-19 patients and to evaluate an Artificial Intelligence (AI) model to identify time domain heart rate variability (HRV) measures most suitable for short term ECG in these subjects. METHODS: This observational study enrolled 92 recently COVID-19 recovered subjects who underwent measurement of heart rate and blood pressure response to standing up from supine position and a 12-lead ECG recording for 60 s period during supine paced breathing. Using feature extraction, ECG features including those of HRV (RMSSD and SDNN) were obtained. An AI model was constructed with ShAP AI interpretability to determine time domain HRV features representing post COVID-19 recovered state. In addition, 120 healthy volunteers were enrolled as controls. RESULTS: Cardiovascular dysautonomia was present in 15.21% (OH:13.04%; POTS:2.17%). Patients with OH had significantly lower HRV and higher inflammatory markers. HRV (RMSSD) was significantly lower in post COVID-19 patients compared to healthy controls (13.9 ± 11.8 ms vs 19.9 ± 19.5 ms; P = 0.01) with inverse correlation between HRV and inflammatory markers. Multiple perceptron was best performing AI model with HRV(RMSSD) being the top time domain HRV feature distinguishing between COVID-19 recovered patients and healthy controls. CONCLUSION: Present study showed that cardiovascular dysautonomia is common in COVID-19 recovered subjects with a significantly lower HRV compared to healthy controls. The AI model was able to distinguish between COVID-19 recovered patients and healthy controls.