Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG

Background

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death worldwide, driven primarily by coronary artery disease (CAD). ASCVD risk estimators such as the pooled cohort equations (PCE) facilitate risk stratification and primary prevention of ASCVD but their accuracy is still suboptimal.

Methods

Using deep electronic health record data from 7,116,209 patients seen at 70+ hospitals and clinics across 5 states in the USA, we developed an artificial intelligence-based electrocardiogram analysis tool (ECG-AI) to detect CAD and assessed the additive value of ECG-AI-based ASCVD risk stratification to the PCE. We created independent ECG-AI models using separate neural networks including subjects without known history of ASCVD, to identify coronary artery calcium (CAC) score ≥300 Agatston units by computed tomography, obstructive CAD by angiography or procedural intervention, and regional left ventricular akinesis in ≥1 segment by echocardiogram, as a reflection of possible prior myocardial infarction (MI). These were used to assess the utility of ECG-AI-based ASCVD risk stratification in a retrospective observational study consisting of patients with PCE scores and no prior ASCVD. The study period covered all available digitized EHR data, with the first available ECG in 1987 and the last in February 2023.

Findings

ECG-AI for identifying CAC ≥300, obstructive CAD, and regional akinesis achieved area under the receiver operating characteristic (AUROC) values of 0.88, 0.85, and 0.94, respectively. An ensembled ECG-AI identified 3, 5, and 10-year risk for acute coronary events and mortality independently and additively to PCE. Hazard ratios for acute coronary events over 3-years in patients without ASCVD that tested positive on 1, 2, or 3 versus 0 disease-specific ECG-AI models at cohort entry were 2.41 (2.14-2.71), 4.23 (3.74-4.78), and 11.75 (10.2-13.52), respectively. Similar stratification was observed in cohorts stratified by PCE or age.

Interpretation

ECG-AI has potential to address unmet need for accessible risk stratification in patients in whom PCE under, over, or insufficiently estimates ASCVD risk, and in whom risk assessment over time periods shorter than 10 years is desired.

Funding

Anumana.

Nasopharyngeal carriage of Streptococcus pneumoniae serotypes among sick and healthy children in northern India: A case-control study

BACKGROUND

Streptococcus pneumoniae is leading bacterial cause of community acquired pneumonia and according to World Health Organization, responsible for 14 % death in children. There is effective vaccine available against Streptococcus pneumoniae. Hence the primary objective was to isolate Streptococcus pneumoniae from nasopharyngeal swabs in children aged 2-59 months with and without community acquired pneumonia and to assess their serotypes.

METHODS

This case-control study was conducted in tertiary teaching institutes in northern India. Hospitalized children, aged 2-59 months, with World Health Organization-defined community acquired pneumonia were included as cases. Age matched healthy controls were recruited from immunization clinic. All enrolments were done after written informed parental consent. Nasopharyngeal swabs were taken from both cases and controls, and were cultured on 5 % sheep blood agar with gentamycin plate for growth of Streptococcus pneumoniae and incubated in a jar at 370 for 18-24 hrs. Quellung reaction test was used for serotyping.

RESULTS

From March 2017 to December 2022, 2693 children (1910 cases and 783 controls), were recruited. The median age of cases was 7 months and controls 10 months. Almost all the cases had received antibiotics prior to hospitalization. Streptococcus pneumoniae positivity in nasopharyngeal swab was 8.1 % in cases, of which 56.8 % were vaccine serotypes and 23.6 % in controls, of which 37.8 % were vaccine serotypes. Adjusted odds ratio of isolating vaccine serotypes among cases as compared to controls was 1.77 (95 % CI, 1.09-2.88).

CONCLUSION

Streptococcus pneumoniae isolation from nasopharyngeal was found to be in lower proportion in cases as compared to control, though colonization with vaccine serotypes was higher in cases as compared to control. Therefore, pneumococcal vaccine coverage must be increased to prevent community acquired pneumonia.

Development of Electronic Health Record-Based Machine Learning Models to Predict Barrett's Esophagus and Esophageal Adenocarcinoma Risk

INTRODUCTION

Screening for Barrett's esophagus (BE) is suggested in those with risk factors, but remains underutilized. BE/esophageal adenocarcinoma (EAC) risk prediction tools integrating multiple risk factors have been described. However, accuracy remains modest (area under the receiver-operating curve [AUROC] ≤0.7), and clinical implementation has been challenging. We aimed to develop machine learning (ML) BE/EAC risk prediction models from an electronic health record (EHR) database.

METHODS

The Clinical Data Analytics Platform, a deidentified EHR database of 6 million Mayo Clinic patients, was used to predict BE and EAC risk. BE and EAC cases and controls were identified using International Classification of Diseases codes and augmented curation (natural language processing) techniques applied to clinical, endoscopy, laboratory, and pathology notes. Cases were propensity score matched to 5 independent randomly selected control groups. An ensemble transformer-based ML model architecture was used to develop predictive models.

RESULTS

We identified 8,476 BE cases, 1,539 EAC cases, and 252,276 controls. The BE ML transformer model had an overall sensitivity, specificity, and AUROC of 76%, 76%, and 0.84, respectively. The EAC ML transformer model had an overall sensitivity, specificity, and AUROC of 84%, 70%, and 0.84, respectively. Predictors of BE and EAC included conventional risk factors and additional novel factors, such as coronary artery disease, serum triglycerides, and electrolytes.

DISCUSSION

ML models developed on an EHR database can predict incident BE and EAC risk with improved accuracy compared with conventional risk factor-based risk scores. Such a model may enable effective implementation of a minimally invasive screening technology.

Clinical Administration Characteristics of Subcutaneous and Intravenous Administration of Daratumumab in Patients With Multiple Myeloma at Mayo Clinic Infusion Centers

PURPOSE

Median duration of daratumumab (DARA) administration for treatment of multiple myeloma is 3-7 hours for the intravenous formulation (DARA IV) and 3-5 minutes for the subcutaneous formulation (DARA SC). Here, we describe clinical administration characteristics of DARA using a novel method for data extraction from electronic health records.

METHODS

Time-based measurements were extracted using a scheduling/pharmacy software program that tracked patient movement through appointments for patients initiating DARA in Mayo Clinic infusion centers from April 5, 2017, to October 14, 2021. Cohorts included patients who received DARA IV or DARA SC, or converted from DARA IV to DARA SC. The DARA SC cohort was further analyzed before (DARA SC initial) and after (DARA SC shortened) a reduction in the postadministration observation time mandated by the treatment plan. Events associated with administration-related reactions (ARRs) were also identified.

RESULTS

Median total clinic times were 2.7-3.0 hours shorter for DARA SC versus DARA IV. Median clinic times were highest at dose 1 and decreased with subsequent doses. Median total chair times were 2.7-2.8 hours shorter for DARA SC versus DARA IV. Incidences of ARR-related events with DARA SC were low across doses.

CONCLUSION

Reduced clinic times were observed with DARA SC, indicating that use of DARA SC as a treatment option results in time savings that may free clinic resources. Furthermore, novel methods of electronic health record data extraction can provide insights that may help inform clinic resource optimization.

Nasopharyngeal Carriage of Streptococcus pneumoniae Serotypes Among Healthy Children in Northern India

Streptococcus pneumoniae (SP) infections cause morbidity and mortality among children worldwide. Hence India introduced 13-valent pneumococcal conjugate vaccine (PCV-13) in 2017 in a phased manner. The primary objective of this study was to assess the proportion of healthy children having nasopharyngeal colonization (NP) with SP. Secondary objective was to determine prevalent serotype of SP among the PCV13 vaccinated and non-vaccinated children. This cross-sectional study was conducted in 4 hospitals of Lucknow District, Northern India. Three hundred healthy children (2-59 months) were recruited between July and August 2019 from vaccination-clinics of hospitals. NP specimen was cultured using 5% sheep blood agar plate containing gentamicin. Pneumococcal isolates were identified by optochin sensitivity and bile-solubility tests. Serotyping was done using Quellung Method. Of the 300 healthy children, 56.7% (170/300) were males and 59.3% (181/300) had received at least one dose of PCV13 vaccine. The NP carriage rate of SP among healthy children was 37.7% (113/300). Vaccine serotypes were found in 33.3% (22/66) in PCV vaccinated children and 48.9% (23/47) in non-vaccinated children (p 0.09). Common vaccine serotypes that isolated were: 18C, 19A, 19F, 23F, 3, 4, 6A, 6B, 9 V. Thus more than one-third of healthy children had NP colonization with SP. Adjusting for age, there was a trend for significant reduction in vaccine serotypes in the NP with one doses versus two or more doses (ptrend = 0.04).

Cerebral Venous Sinus Thrombosis is not Significantly Linked to COVID-19 Vaccines or Non-COVID Vaccines in a Large Multi-State Health System

Objective

To assess the association of COVID-19 vaccines and non-COVID-19 vaccines with cerebral venous sinus thrombosis (CVST).

Materials and method

We retrospectively analyzed a cohort of 771,805 vaccination events across 266,094 patients in the Mayo Clinic Health System between 01/01/2017 and 03/15/2021. The primary outcome was a positive diagnosis of CVST, identified either by the presence of a corresponding ICD code or by an NLP algorithm which detected positive diagnosis of CVST within free-text clinical notes. For each vaccine we calculated the relative risk by dividing the incidence of CVST in the 30 days following vaccination to that in the 30 days preceding vaccination.

Results

We identified vaccination events for all FDA-approved COVID-19 vaccines including Pfizer-BioNTech (n = 94,818 doses), Moderna (n = 36,350 doses) and Johnson & Johnson - J&J (n = 1,745 doses). We also identified vaccinations events for 10 common FDA-approved non-COVID-19 vaccines (n = 771,805 doses). There was no statistically significant difference in the incidence rate of CVST in 30-days before and after vaccination for any vaccine in this population. We further found the baseline CVST incidence in the study population between 2017 and 2021 to be 45 to 98 per million patient years.

Conclusions

This real-world evidence-based study finds that CVST is rare and is not significantly associated with COVID-19 vaccination in our patient cohort. Limitations include the rarity of CVST in our dataset, a relatively small number of J&J COVID-19 vaccination events, and the use of a population drawn from recipients of a SARS-CoV-2 PCR test in a single health system.

Real-time analysis of a mass vaccination effort confirms the safety of FDA-authorized mRNA COVID-19 vaccines

Background

As the coronavirus disease 2019 (COVID-19) vaccination campaign unfolds, it is important to continuously assess the real-world safety of Food and Drug Administration (FDA)-authorized vaccines. Curation of large-scale electronic health records (EHRs) enables near-real-time safety evaluations that were not previously possible.

Methods

In this retrospective study, we deployed deep neural networks over a large EHR system to automatically curate the adverse effects mentioned by physicians in over 1.2 million clinical notes between December 1, 2020 and April 20, 2021. We compared notes from 68,266 individuals who received at least one dose of BNT162b2 (n = 51,795) or mRNA-1273 (n = 16,471) to notes from 68,266 unvaccinated individuals who were matched by demographic, geographic, and clinical features.

Findings

Individuals vaccinated with BNT162b2 or mRNA-1273 had a higher rate of return to the clinic, but not the emergency department, after both doses compared to unvaccinated controls. The most frequently documented adverse effects within 7 days of each vaccine dose included myalgia, headache, and fatigue, but the rates of EHR documentation for each side effect were remarkably low compared to those derived from active solicitation during clinical trials. Severe events, including anaphylaxis, facial paralysis, and cerebral venous sinus thrombosis, were rare and occurred at similar frequencies in vaccinated and unvaccinated individuals.

Conclusions

This analysis of vaccine-related adverse effects from over 1.2 million EHR notes of more than 130,000 individuals reaffirms the safety and tolerability of the FDA-authorized mRNA COVID-19 vaccines in practice.

Funding

This study was funded by nference.

This is a study of the mRNA COVID-19 vaccines developed by Pfizer/BioNTech and Moderna. Although these vaccines have been shown to be safe and tolerated in clinical trials, it is important to confirm their safety profiles in practice. The results from this study show that individuals receiving these vaccines are likely to experience muscle and joint soreness, but they are not more likely to seek out emergent clinical care or experience severe medical events than unvaccinated individuals. As one of the largest real-world safety studies of COVID-19 vaccines to date, these data reinforce that we should continue expanding efforts to deliver more vaccines with high confidence in their safety.

Plasma IL-6 levels following corticosteroid therapy as an indicator of ICU length of stay in critically ill COVID-19 patients

Intensive care unit (ICU) admissions and mortality in severe COVID-19 patients are driven by "cytokine storms" and acute respiratory distress syndrome (ARDS). Interim clinical trial results suggest that the corticosteroid dexamethasone displays better 28-day survival in severe COVID-19 patients requiring ventilation or oxygen. In this study, 10 out of 16 patients (62.5%) that had an average plasma IL-6 value over 10 pg/mL post administration of corticosteroids also had worse outcomes (i.e., ICU stay >15 days or death), compared to 8 out of 41 patients (19.5%) who did not receive corticosteroids (p-value = 0.0024). Given this potential association between post-corticosteroid IL-6 levels and COVID-19 severity, we hypothesized that the glucocorticoid receptor (GR or NR3C1) may be coupled to IL-6 expression in specific cell types that govern cytokine release syndrome (CRS). Examining single-cell RNA-seq data from BALF of severe COVID-19 patients and nearly 2 million cells from a pan-tissue scan shows that alveolar macrophages, smooth muscle cells, and endothelial cells co-express NR3C1 and IL-6, motivating future studies on the links between the regulation of NR3C1 function and IL-6 levels.

The bed nucleus of the stria terminalis and functionally linked neurocircuitry modulate emotion processing and HPA axis dysfunction in posttraumatic stress disorder

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Task-based functional cooccurrence (tbFC) elucidates role of BNST in human PTSD neurocircuitry.

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The BNST is hyperactive during the processing of trauma-related words in PTSD.

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BNST activity correlates to PTSD symptom severity and reduced diurnal cortisol index.

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The BNST has positive tbFC with negative emotion- and stress-related neurocircuitry.

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The BNST has negative tbFC with executive function and stress regulation neurocircuitry.

Background

The bed nucleus of the stria terminalis (BNST) plays an important role in rodent posttraumatic stress disorder (PTSD), but evidence to support its relevance to human PTSD is limited. We sought to understand the role of the BNST in human PTSD via fMRI, behavioral, and physiological measurements.

Methods

29 patients with PTSD (childhood sexual abuse) and 23 healthy controls (HC) underwent BOLD imaging with an emotional word paradigm. Symptom severity was assessed using the Clinician-Administered PTSD Scale and HPA-axis dysfunction was assessed by measuring the diurnal cortisol amplitude index (DCAI). A data-driven multivariate analysis was used to determine BNST task-based functional co-occurrence (tbFC) across individuals.

Results

In the trauma-versus-neutral word contrast, patients showed increased activation compared to HC in the BNST, medial prefrontal cortex (mPFC), posterior cingulate gyrus (PCG), caudate heads, and midbrain, and decreased activation in dorsolateral prefrontal cortex (DLPFC). Symptom severity positively correlated with activity in the BNST, caudate head, amygdala, hippocampus, dorsal anterior cingulate gyrus (dACG), and PCG, and negatively with activity in the medial orbiotofrontal cortex (mOFC) and DLPFC. Patients and HC showed marked differences in the relationship between the DCAI and BOLD activity in the BNST, septal nuclei, dACG, and PCG. Patients showed stronger tbFC between the BNST and closely linked limbic and subcortical regions, and a loss of negative tbFC between the BNST and DLPFC.

Conclusions

Based upon novel data, we present a new model of dysexecutive emotion processing and HPA-axis dysfunction in human PTSD that incorporates the role of the BNST and functionally linked neurocircuitry.

Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis

Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVIDpos; n = 2,317) versus COVID-19-negative (COVIDneg; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVIDpos over COVIDneg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVIDpos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.

Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis

Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVID_pos; n = 2,317) versus COVID-19-negative (COVID_neg; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVID_pos over COVID_neg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVID_pos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.

Refractive Error Prevalence among School Children in Dadeldhura District of Nepal

Background Uncorrected refractive error is the major cause of visual impairment worldwide. There is no data on refractive error prevalence among school children in hilly region of Far West Nepal. Objective The prevalence of refractive error has been found to vary among children of different caste/ethnic groups and geographical regions. The purpose of this study is to determine the prevalence of refractive error among school children from different caste/ethnic groups in Dadeldhura district of Far West Nepal. Method This is a cross sectional study of refractive error among secondary school children from 2 schools in Dadeldhura district. All children underwent a vision screening consisting of visual acuity, ocular examination and refraction. Myopia was diagnosed for an eye with spherical equivalent refraction (SER) ≤ -0.5 D whereas an eye with SER ≥ +2.0 D was diagnosed as hyperopic. Ethnicity was reported through self administered questionnaire. Result Among children aged 12 to 16 years (14.07 ± 1.4) prevalence of myopia was 3.5%, hyperopia 0.33% and astigmatism 1%. All except three children had spherical equivalent refraction (SER) within ±2 D. Caste/ethnicity was not associated significantly with myopia in either eye (χ2 = 0.27, df= 2, p= 0.87). Conclusion The prevalence of refractive error among secondary school children in Dadeldhura district of Far West Nepal is very low in comparison to myopia prevalence reported in studies from other parts of the world, but slightly lower than myopia prevalence found in other, eastern parts of Nepal.

Abstract P4-16-06: Incidence of interstitial lung disease in patients with HER2-positive advanced breast cancer treated with everolimus and trastuzumab: A combined analysis of two phase 3 randomized controlled trials

Background: The human epidermal growth factor receptor 2 (HER2) protein is overexpressed in approximately one fourth of breast tumors. Trastuzumab resistance has been demonstrated via aberrant PI3K/AKT/mTOR signaling due to PTEN loss. To circumvent this resistance mechanism, everolimus, an oral mTOR inhibitor, has been employed in treatment of HER2-positive advanced breast cancer (ABC). Lung toxicity due to everolimus is well established and has been reported with trastuzumab. Yet, the incidence of interstitial lung disease (ILD), when everolimus was added to trastuzumab, has never been reported. We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) to determine the incidence of ILD in patients with HER2-positive ABC treated with both everolimus and trastuzumab.

Methods: We systematically conducted a comprehensive literature search using MEDLINE, EMBASE databases and meeting abstracts through January 2018. Phase 3 RCTs that mention ILD as an adverse effect were incorporated in the analysis. The primary meta- analytic approach was a fixed effects model using the Mantel-Haenszel (MH) method. It was used to calculate the estimated pooled risk ratio (RR), and risk difference (RD) with 95% confidence interval (CI).

Results: A total of 1272 patients with HER-2 positive ABC from two phase 3 RCTs were eligible. Studies compared everolimus + paclitaxel + trastuzumab vs paclitaxel + trastuzumab and everolimus + vinorelbine + trastuzumab vs vinorelbine + trastuzumab. The initial dose of everolimus in BOLERO-1 was 10mg per day and in BOLERO-3, 5mg per day was used. The median relative dose intensity of everolimus was reduced to 0.54 in BOLERO-1 due to toxicity related dose reductions and dose interruptions. The randomization ratio of everolimus to placebo was 2 to 1 in BOLERO-1 and 1 to 1 in BOLERO-3. Everolimus was utilized in trastuzumab-resistant ABC after prior taxane therapy in the BOLERO-3 study (n= 562) and as first-line treatment in the BOLERO-1 study (n= 710). The I2 statistic for heterogeneity was 0, and the heterogeneity X2 (Cochran's Q) was 1 (P= 0), suggesting homogeneity among RCT. The incidence of all-grade ILD was 31 (4.122%) in the everolimus group vs 3 (0.577%) in control group and of high-grade ILD was 11 (1.463%) in everolimus arm vs 0 (0%) in the control arm. The pooled RR for all-grade ILD was significant at 7.258 (95% CI: 2.130 – 24.733, p = 0.002) and the absolute RD was 0.035 (95% CI: 0.019 – 0.050, P < 0.001). The pooled RR for high-grade ILD was noted at 7.930 (95% CI: 0.997 – 63.044, p = 0.050) and the absolute RD was 0.014 (95% CI: 0.004 – 0.024, P = 0.004).

Conclusions: Approximately 0.46 and 0.61% of patients on trastuzumab alone have been reported to develop ILD in previous studies. Our study showed that the addition of reduced dose of everolimus to trastuzumab, significantly contributed a higher incidence in all grades of ILD with a relative risk of 7.93 for grade 3 and 4 ILD. More randomized trials are required to determine the definitive incidence and actual relation of ILD as well as the optimal dose of everolimus, when combined with trastuzumab or other chemotherapy.

Citation Format: Thein KZ, Swarup S, Sultan A, Tijani L, D'Cunha N, Hardwicke FT, Awasthi S, Jones C. Incidence of interstitial lung disease in patients with HER2-positive advanced breast cancer treated with everolimus and trastuzumab: A combined analysis of two phase 3 randomized controlled trials [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P4-16-06.

Abstract P1-16-04: Risk of venous thromboembolism with abemaciclib based regimen versus other CDK 4/6 inhibitor containing regimens in patients with hormone receptor-positive HER2-negative metastatic breast cancer

Background: Approximately 70% of patients with metastatic breast cancer (MBC) are hormone receptor (HR) - positive and the cyclin dependent kinases (CDK) along with their D-type cyclin catalysts, have been shown to play a role in mediating the resistance to endocrine therapy. Several CDK-targeted agents have been recently approved by FDA. Nevertheless, the risk of venous thromboembolism (VTE) with the use of different CDK 4/6 inhibitors has never been reported. We undertook a systematic review and meta-analysis of randomized controlled trials (RCT) to determine the risk of VTE with abemaciclib based regimens versus other CDK 4/6 inhibitor containing regimens in patients with HR-positive HER2-negative MBC.

Methods: We systematically conducted a comprehensive literature search using MEDLINE, EMBASE databases and meeting abstracts through February 2018. The randomized controlled trials that mention deep vein thrombosis and pulmonary embolism as adverse effects of CDK 4/6 inhibitor therapy were incorporated in the analysis. The primary meta- analytic approach was a fixed effects model using the Mantel-Haenszel (MH) method. It was used to calculate the estimated pooled risk ratio (RR) and risk difference (RD) with 95% confidence interval (CI).

Results: Five phase 3 studies and one phase 2 study with a total of 3,159 patients with HR-positive HER2-negative MBC were eligible for analysis. The study arms used palbociclib-letrozole, palbociclib-fulvestrant, ribociclib-letrozole, abemaciclib-fulvestrant, and abemaciclib-nonsteroidal aromatase inhibitors (either letrozole or anastrozole) while the control arms utilized placebo in combination with letrozole or anastrozole or fulvestrant. The randomization ratio was 2 to 1 in PALOMA-2, PALOMA-3, MONARCH-2 and MONARCH-3 studies and 1 to 1 in PALOMA-1 and MONALEESA-2 trials. CDK 4/6 inhibitors were utilized as first line treatment in PALOMA-1, PALOMA-2, MONALEESA-2 and MONARCH-3. The I2 statistic for heterogeneity was 0, and the heterogeneity X2 (Cochran's Q) was 1 (P= 0.707), suggesting homogeneity among RCTs. The VTE incidence was 25 (3.255%) in the abemaciclib group vs 2 (0.520%) in the control group. The pooled relative risk for VTE was 6.222 (95% CI: 1.481 – 26.145, P = 0.013) and the absolute RD was 0.027 (95% CI: 0.013 – 0.042, P < 0.0001). In other CDK 4/6 inhibitor containing regimens, the VTE incidence was reported at 15 (1.243%) vs 2 (0.374%) in the control arm. The pooled RR for VTE was 2.312 (95% CI: 0.852 –6.272, P = 0.100) and the absolute RD was 0.008 (95% CI: - 0.000 – 0.017, P = 0.259).

Conclusion: VTE is a major cause of morbidity and mortality and is particularly common in patients with breast cancer. Our meta-analysis demonstrated that the addition of abemaciclib to endocrine therapy notably contributed to a higher incidence of VTE with a relative risk of 6.22. However, no significant increase in the risk of VTE was noted in other CDK 4/6 inhibitor-based regimen. More randomized trials are required to determine the actual relation and definitive incidence of VTE among different CDK-targeted agents when added to endocrine therapy.

Citation Format: Thein KZ, Ball S, Zaw MH, Quirch M, Hardwicke F, Awasthi S, Oo TH, Jones C. Risk of venous thromboembolism with abemaciclib based regimen versus other CDK 4/6 inhibitor containing regimens in patients with hormone receptor-positive HER2-negative metastatic breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-16-04.

Abstract P1-17-08: Efficacy of lapatinib and capecitabine combination therapy in brain metastases from HER-2 positive metastatic breast cancer: A systematic review and meta- analysis

Background:

Brain metastases contribute to significant morbidity and mortality in breast cancer. Approximately one fourth of breast tumors overexpress the human epidermal growth factor receptor 2 (HER2) protein and are twice as likely to develop brain metastases. There are currently no systemic therapies approved. We undertook a systematic review and pooled analysis of trials to determine the efficacy of lapatinib and capecitabine combination therapy in brain metastases from HER-2 positive metastatic breast cancer (MBC).

Methods:

We performed a comprehensive literature search using MEDLINE, EMBASE databases, and meeting abstracts through December 31, 2016. Trials that utilized lapatinib and capecitabine combination therapy in brain metastases from HER-2 positive MBC were incorporated in the analysis. The pooled estimated rates were calculated using random effects model. Heterogeneity was assessed using I2 statistic.

Results:

A total of 513 patients with brain metastases from HER-2 positive MBC from 6 trials and a subgroup of another 4 trials were included in our analysis. Lapatinib and capecitabine therapy was used as second-line treatment in 9 studies (n= 468) and as first-line treatment in the LANDSCAPE study (n= 45). Three studies were retrospective evaluations of randomized trials and the rest were phase 2 trials. CNS objective response rate (ORR) was 26% (95% CI: 19 – 33, I2: 65.9%). Complete response (CR) rate was 1% (95% CI: 0 - 2, I2: 0.0%) and partial response (PR) rate was noted at 24% (95% CI: 17- 31, I2: 66.1%). Stable disease (SD) occurred in 37% (95% CI: 29- 45, I2: 66.6%) and progressive disease (PD) in 19% (95% CI: 12- 25, I2: 66.5%). The first line LANDSCAPE study had the highest PR (49%) and ORR (53%) without a significant impact on CR rate; PD was 7%.

Conclusion:

Brain metastases in breast cancer is an area of urgent unmet need. Our meta-analysis showed that lapatinib/capecitabine therapy had some first line or second line activity in brain metastases from HER-2 positive MBC. Nevertheless, further randomized controlled trials are required in this patient population.

Citation Format: Thein KZ, Zaw MH, Yendala R, Igid HP, Chai-Adisaksopha C, Hardwicke F, Awasthi S, Radhi S. Efficacy of lapatinib and capecitabine combination therapy in brain metastases from HER-2 positive metastatic breast cancer: A systematic review and meta- analysis [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-17-08.

Rapid analysis of pharmaceutical drugs using LIBS coupled with multivariate analysis

Type 2 diabetes drug tablets containing voglibose having dose strengths of 0.2 and 0.3 mg of various brands have been examined, using laser-induced breakdown spectroscopy (LIBS) technique. The statistical methods such as the principal component analysis (PCA) and the partial least square regression analysis (PLSR) have been employed on LIBS spectral data for classifying and developing the calibration models of drug samples. We have developed the ratio-based calibration model applying PLSR in which relative spectral intensity ratios H/C, H/N and O/N are used. Further, the developed model has been employed to predict the relative concentration of element in unknown drug samples. The experiment has been performed in air and argon atmosphere, respectively, and the obtained results have been compared. The present model provides rapid spectroscopic method for drug analysis with high statistical significance for online control and measurement process in a wide variety of pharmaceutical industrial applications.

Emerging areas of transcranial magnetic stimulation use in psychiatry

Transcranial magnetic stimulation (TMS) is most widely known clinically as a treatment for medication-refractory major depressive disorder, but it holds promise in a number of other areas. In addition to emerging neurologic areas of investigation such as in mild cognitive impairment, dementia, Parkinson's disease and stroke rehab, novel approaches to psychiatric conditions are also being explored. This review provides a critical condensation of the available data assessing the efficacy of TMS in the treatment of other psychiatric conditions, namely bipolar disorder, substance use, post-traumatic stress disorder and other anxiety disorders. Each section details the field's current accumulation of evidence of the respective condition's pathophysiology in the context of a discussion of the relevant therapeutic target(s) of TMS. Each section then reviews both positive and negative studies evaluating TMS in clinical practice. Given the relative tolerability and proven efficacy of TMS in treatment-resistant depression (TRD), further study to determine its therapeutic effect in other psychiatric entities is warranted.

Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia

Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.

Multimodal SHG-2PF Imaging of Microdomain Ca2+-Contraction Coupling in Live Cardiac Myocytes

RATIONALE

Cardiac myocyte contraction is caused by Ca(2+) binding to troponin C, which triggers the cross-bridge power stroke and myofilament sliding in sarcomeres. Synchronized Ca(2+) release causes whole cell contraction and is readily observable with current microscopy techniques. However, it is unknown whether localized Ca(2+) release, such as Ca(2+) sparks and waves, can cause local sarcomere contraction. Contemporary imaging methods fall short of measuring microdomain Ca(2+)-contraction coupling in live cardiac myocytes.

OBJECTIVE

To develop a method for imaging sarcomere level Ca(2+)-contraction coupling in healthy and disease model cardiac myocytes.

METHODS AND RESULTS

Freshly isolated cardiac myocytes were loaded with the Ca(2+)-indicator fluo-4. A confocal microscope equipped with a femtosecond-pulsed near-infrared laser was used to simultaneously excite second harmonic generation from A-bands of myofibrils and 2-photon fluorescence from fluo-4. Ca(2+) signals and sarcomere strain correlated in space and time with short delays. Furthermore, Ca(2+) sparks and waves caused contractions in subcellular microdomains, revealing a previously underappreciated role for these events in generating subcellular strain during diastole. Ca(2+) activity and sarcomere strain were also imaged in paced cardiac myocytes under mechanical load, revealing spontaneous Ca(2+) waves and correlated local contraction in pressure-overload-induced cardiomyopathy.

CONCLUSIONS

Multimodal second harmonic generation 2-photon fluorescence microscopy enables the simultaneous observation of Ca(2+) release and mechanical strain at the subsarcomere level in living cardiac myocytes. The method benefits from the label-free nature of second harmonic generation, which allows A-bands to be imaged independently of T-tubule morphology and simultaneously with Ca(2+) indicators. Second harmonic generation 2-photon fluorescence imaging is widely applicable to the study of Ca(2+)-contraction coupling and mechanochemotransduction in both health and disease.

Fallopian tube papilloma--case report of a rare tumor

Fallopian tube neoplasms are rare. We report a rare case of fallopian tube papilloma discovered incidentally in a 45 year old female, operated for procidentia. Right tube was dilated at the infundibular region, with friable grey white tissue in the lumen. Microscopy showed delicate branching papillae lined by a single layer of epithelium resembling tubal lining. There were no features to suggest a reactive hyperplasia in response to inflammation or of aggressive behaviour.

Regulation of tamoxifen sensitivity by a PAK1-EBP1 signalling pathway in breast cancer

Background:

EBP1, an ErbB3-binding protein, sensitises breast cancer cells to tamoxifen in part by decreasing ErbB2 protein levels. The p21-regulated serine/threonine kinase PAK1, implicated in tamoxifen resistance, phosphorylates EBP1 in vitro and in vivo at T261. Phosphorylation of EBP1 at this site induces tamoxifen resistance. We thus postulated that inhibition of PAK1 activity, by restoring EBP1 function, could ameliorate the hormone refractory phenotype of ErbB2-overexpressing breast cancer cells.

Methods:

Effects of EBP1 on ErbB2 levels were measured by western blotting. Effects of EBP1 and IPA-3 on tamoxifen sensitivity were measured using a tetrazolium based cell viability assay.

Results:

Transient transfection studies indicated that an EBP1 T261E mutant, which mimics EPB1 phosphorylated by PAK1, increased ErbB2 protein levels. An EBP1 T261A mutant, unable to be phosphorylated by PAK1, ameliorated PAK1-induced tamoxifen resistance, suggesting that phosphorylation of EBP1 by PAK1 contributes to tamoxifen resistance. We then tested if pharmacological inhibition of PAK1 activity might render hormone resistant cells, which endogenously overexpress PAK1, tamoxifen sensitive. IPA-3, a specific small MW PAK1 inhibitor, sensitised cells to tamoxifen only when EBP1 was ectopically expressed. IPA had no effect on tamoxifen resistance in T47D cells in which EBP1 protein had been ablated by shRNA. The IPA-induced increase in tamoxifen sensitivity was accompanied by a decrease in ErbB2 levels only in EBP1-overexpressing cells.

Conclusion:

These studies suggest that phosphorylation of EBP1 may be one mechanism of PAK1-induced hormone resistance and that PAK1 inhibitors may be useful in cells in which EBP1 is overexpressed.

Assessment of Health-Related Quality of Life in school-going adolescents: validation of PedsQL instrument and comparison with WHOQOL-BREF

BACKGROUND

Health-Related Quality of Life (HRQoL) studies are gaining importance. Yet there is a dearth of crossculturally validated generic HRQoL instruments for Indian adolescents. Two HRQoL instruments, namely World Health Organization Quality of Life-Brief (WHOQOL-BREF) and Pediatric Quality of Life inventory™ 4.0 (PedsQL), are widely used internationally, with both measuring four domains (physical, psychological/emotional, social relations and environment/school) but each having different questions with 26 in the former and 23 in the latter. This study was done among adolescents in the city of Lucknow to evaluate the psychometric properties of PedsQL and compare its performance with previously validated and culturally revised WHOQOL-BREF.

METHODS

This cross-sectional study was conducted in February 2010 after institutional ethical approval. Data were collected by a self-administered, redesigned questionnaire in which items of PedsQL and revised WHOQOL-BREF were intermingled. Reliability, content and construct validity were evaluated for PedsQL. Convergent validity of PedsQL with revised WHOQOL-BREF was calculated for domains with similar questions.

RESULTS

Parents of 76.5% adolescents (385/503) provided consent. Mean age of adolescents was 13.6 years (1.6 SD and 44.7% were girls). PedsQL showed substantial reliability (Cronbach alpha=0.82, p<0.00001) but poor to fair validity as compared to revised WHOQOL-BREF.

CONCLUSIONS

For Indian adolescents, PedsQL is a reliable and valid instrument. However, on comparison with revised WHOQOL-BREF, PedsQL has poor to fair validity. We conclude that revised WHOQOL-BREF is a better HRQoL instrument for Indian adolescents.

Label-free identification and characterization of human pluripotent stem cell-derived cardiomyocytes using second harmonic generation (SHG) microscopy

Pluripotent stem cell-derived cardiomyocytes (PSC-CMs) are a potentially unlimited source of cardiomyocytes (CMs) for cardiac transplantation therapies. The establishment of pure PSC-CM populations is important for this application, but is hampered by a lack of CM-specific surface markers suitable for their identification and sorting. Contemporary purification techniques are either non-specific or require genetic modification. We report a second harmonic generation (SHG) signal detectable in PSC-CMs that is attributable to sarcomeric myosin, dependent on PSC-CM maturity, and retained while PSC-CMs are in suspension. Our study demonstrates the feasibility of developing a SHG-activated flow cytometer for the non-invasive purification of PSC-CMs.

A cross-sectional pilot study to determine the prevalence of testosterone deficiency syndrome in working population of Indian men

Aim:

To determine the prevalence of testosterone deficiency syndrome (TDS) in healthy Indian men employed in a hospital aged above 40 years.

Materials and Methods:

A general medical health check-up camp was organized for all male employees above 40 years age working in surgical departments. After clinical history and systemic inquiry, subjects were requested to fill the St. Louis University's ADAM Questionnaire based on which the total and free-serum testosterone estimation was then done.

Results:

One hundred fifty seven healthy volunteers enrolled for the study (mean age 53.1 years; range 40–60). The androgen decline in the aging male (ADAM) Questionnaire detected 106 men (67.5%) to be symptomatic for TDS. Serum testosterone estimation in these subjects revealed 41/106 to have low free-serum testosterone levels and 32/106 to have low total-serum testosterone. In 11 and 6 cases, respectively, the serum free- and total-testosterone levels were found to be low although the subjects were asymptomatic for TDS.

Conclusions:

The prevalence of symptomatic biochemical hypogonadism was 26.1%. The higher prevalence of symptoms alone of TDS was unusual. It could be because of the nature of the questionnaire. Free-serum testosterone may be a better single test to diagnose symptomatic hypogonadism than total-serum testosterone.