Sex and Racial Disparities in Proportionate Mortality of Premature Myocardial Infarction in the United States: 1999 to 2020.

BACKGROUND: The incidence of premature myocardial infarction (PMI) in women (<65 years and men <55 years) is increasing. We investigated proportionate mortality trends in PMI stratified by sex, race, and ethnicity. METHODS AND RESULTS: CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify PMI deaths within the United States between 1999 and 2020, and trends in proportionate mortality of PMI were calculated using the Joinpoint regression analysis. We identified 3 017 826 acute myocardial infarction deaths, with 373 317 PMI deaths corresponding to proportionate mortality of 12.5% (men 12%, women 14%). On trend analysis, proportionate mortality of PMI increased from 10.5% in 1999 to 13.2% in 2020 (average annual percent change of 1.0 [0.8-1.2, P <0.01]) with a significant increase in women from 10% in 1999 to 17% in 2020 (average annual percent change of 2.4 [1.8-3.0, P <0.01]) and no significant change in men, 11% in 1999 to 10% in 2020 (average annual percent change of -0.2 [-0.7 to 0.3, P=0.4]). There was a significant increase in proportionate mortality in both Black and White populations, with no difference among American Indian/Alaska Native, Asian/Pacific Islander, or Hispanic people. American Indian/Alaska Natives had the highest PMI mortality with no significant change over time. CONCLUSIONS: Over the last 2 decades, there has been a significant increase in the proportionate mortality of PMI in women and the Black population, with persistently high PMI in American Indian/Alaska Natives, despite an overall downtrend in acute myocardial infarction-related mortality. Further research to determine the underlying cause of these differences in PMI mortality is required to improve the outcomes after acute myocardial infarction in these populations.

Procedural and cardiovascular outcomes of geriatric vs non-geriatric patients undergoing permanent pacemaker implantation - a nationwide cohort analysis.

BACKGROUND: Permanent pacemaker implantation is increasing exponentially to treat atrio-ventricular block and symptomatic bradyarrhythmia. Despite being a minor surgery, immediate complications such as pocket infection, pocket hematoma, pneumothorax, hemopericardium, and lead displacement do occur. METHODS: The Nationwide Inpatient Sample was queried from 2016 to 2018 to identify patients with pacemakers using ICD-10 procedure code. The Chi-square test was used for statistical analysis. RESULTS: The sample size consisted of 443,460 patients with a pacemaker, 26% were <70 years (male 57%, mean age of (60.6±9.7) yr, Caucasian 70%) and 74% were ≥70 years (male 50%, mean age of (81.4±5.9) yr, Caucasian 79%). Upon comparison of rates in the young vs elderly: mortality (1.6% vs 1.5%; P<0.01), obesity (26% vs 13%; P<0.001), coronary artery disease (40% vs 49%; P<0.001), HTN (74% vs 87%; P<0.01), anemia (4% vs 5%; P<0.01), atrial fibrillation (34% vs 49%; P<0.01), peripheral artery disease (1.7% vs 3%; P<0.01), CHF (31% vs 39%; P<0.001), diabetes (31% vs 27.4%; P<0.01), vascular complications (1.1% vs 1.2%; P<0.01), pocket hematoma (0.5% vs 0.8%; P<0.01), AKI (16% vs 21%; P<0.01), hemopericardium (0.1% vs 0.1%; P = 0.1), hemothorax (0.3% vs 0.2%; P<0.01), cardiac tamponade (0.4% vs 0.5%; P<0.01), pericardiocentesis (0.4% vs 0.4%; P<0.01), cardiogenic shock (4% vs 2.3%; P<0.01), respiratory complications (1.9% vs 0.9%; P<0.01), mechanical ventilation (5.1% vs 2.9%; P<0.01); post-op bleed (0.5% vs 0.3%; P<0.01), need for transfusion (4.8% vs 3.8%; P<0.01), severe sepsis (0.6% vs 0.5%; P<0.01 ), septic shock (2% vs 1%; P<0.01), bacteraemia (0.8% vs 0.4%; P<0.01), lead dislodgement (1.4% vs 1.1%; P<0.01). CONCLUSIONS: Our study revealed that the overall complication rates were lower in the elderly despite higher co-morbidities. This aligns with previous studies which showed lower rates in the elderly. Hence providers should not hesitate to provide guideline driven pacemaker placement in the elderly especially in patients with good life expectancy.

Impact of Social Vulnerability on Cardiac Arrest Mortality in the United States, 2016 to 2020.

BACKGROUND: Cardiac arrest is 1 of the leading causes of morbidity and mortality, with an estimated 340 000 out-of-hospital and 292 000 in-hospital cardiac arrest events per year in the United States. Survival rates are lower in certain racial and socioeconomic groups. METHODS AND RESULTS: We performed a county-level cross-sectional longitudinal study using the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple causes of death data set between 2016 and 2020 among individuals of all ages whose death was attributed to cardiac arrest. The Social Vulnerability Index is a composite measure that includes socioeconomic vulnerability, household composition, disability, individuals from racial and ethnic minority groups status and language, and housing and transportation domains. We examined the impact of social determinants on cardiac arrest mortality stratified by age, race, ethnicity, and sex in the United States. All age-adjusted mortality rate (cardiac arrest AAMRs) are reported as per 100 000. Overall cardiac arrest AAMR during the study period was 95.6. The cardiac arrest AAMR was higher for men compared with women (119.6 versus 89.9) and for the Black population compared with the White population (150.4 versus 92.3). The cardiac arrest AAMR increased from 64.8 in counties in quintile 1 of Social Vulnerability Index to 141 in quintile 5, with an average increase of 13% (95% CI, 9.8%-16.9%) in AAMR per quintile increase. CONCLUSIONS: Mortality from cardiac arrest varies widely, with a >2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the United States based on social determinants of health.

Takotsubo cardiomyopathy and psychiatric illness- insight from National Inpatient Sample (NIS) and National Re-admission Database (NRD) 2016 to 2018.

BACKGROUND: Emotional stress is a common precipitating cause of takotsubo cardiomyopathy (TC). Preexisting psychiatric disorder (PD) was linked to worsening outcomes in patients with TC1,2. However, there is limited data in literature to support this. This study aimed to determine the differences in outcomes in TC patients with and without PD. METHODS: We identified all patients with a diagnosis of TC using the National Inpatient Sample (NIS) and the National Readmission Database (NRD) data from 2016 to 2018. The patients were separated into TC with PD group and TC without PD group. Multiple variable logistic regression was then performed. RESULTS: Using NIS 2016-2018, we identified 23,220 patients with TC, and 43.11% had PD. The mean age was 66.73 ± 12.74 years, with 90.42% being female sex. The TC with PD group had a higher 30-readmission rate 1.25 (95% CI:1.06-1.47), Cardiogenic shock [aOR = 7.3 (95%CI 3.97-13.6), Mechanical ventilation [aOR = 4.2 (95%CI 2.4-7.5), Cardiac arrest [aOR = 2.6 (95%CI 1.1-6.3), than TC without PD group. CONCLUSION: Psychiatric disorders were found in up to 43% of patients with TC. The concomitant PD in TC patients was not associated with increased mortality, AKI, but had higher rates of cardiogenic shock, use of mechanical ventilation and cardiac arrest. The TC group with PD was also associated with increased 30-day readmission, LOS and total charges compared to TC patients without PD.

Cardiovascular Challenges Beyond Earth: Investigating the Impact of Space Travel on Astronauts' Cardiovascular Health.

In the coming decades, as humanity aims to establish a presence on Mars, there is a growing significance in comprehending, monitoring, and controlling the diverse health challenges arising from space exploration. The extended exposure to microgravity during space missions leads to various physical alterations in astronauts, such as shifts in bodily fluids, reduced plasma volume, loss of bone density, muscle wasting, and cardiovascular deconditioning. These changes can ultimately lead to orthostatic intolerance, underscoring the increasing importance of addressing these health risks. Astronauts are exposed to cosmic radiation consisting of high-energy particles from various sources, including solar cosmic rays and galactic cosmic rays. These radiations can impact the electrical signals in the heart, potentially causing irregular heart rhythms. Understanding the risks to the heart and blood circulation brought on by exposure to space radiation and the overall stress of spaceflight is essential and this article reviews the cardiovascular effects of space travel on astronauts.

Trends in Premature Mortality from Acute Myocardial Infarction in American Indians/Alaska Natives in the United States from 1999 to 2020.

Cardiovascular disease is the leading cause of mortality in American Indian and Alaska Native (AI/AN) groups. They are disproportionately found to have a higher rate of premature myocardial infarction (MI). The Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research were queried to identify premature MI deaths (female <65 years and male <55 years) occurring within the United States between 1999 and 2020. We investigated proportionate mortality trends related to premature MI in AI/ANs stratified by gender. Deaths attributed to acute MI (AMI) were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes I21 to I22. We compared the proportional mortality rate because of premature MI with that of a non-AI/AN racial group, which comprised all other races (Blacks, Whites, and Asian/Pacific Islander populations). In AI/ANs, we analyzed a total of 14,055 AMI deaths, of which 3,211 were premature MI deaths corresponding to a proportionate mortality rate of 22.8% (male 20.8%, female 26.2%). The non-AI/AN population had a lower proportionate mortality of 14.8% (male 13.7%, female 16%), p <0.01). On trend analysis, there was no significant improvement over time in the proportionate mortality of AI/ANs (19.8% in 1999 to 21.7% in 2020, p = 0.09). Upon comparison of gender, proportionate mortality of premature MI in women showed a statistically nonsignificant increase from 21.6% in 1999 to 27.3% in 2020 [average annual percent change of 0.7, p = 0.06)]. However, men had a statistically significant decrease in proportionate mortality of premature MI from 18.5% in 1999 to 18.2% in 2020 [average annual percent change of -0.8, p = 0.01)]. AI/ANs have an alarmingly higher rate of proportionate mortality of premature MI than that of other races, with no improvement in the proportionate mortality rates over 20 years, despite an overall downtrend in AMI mortality. Further research to address the reasons for the lack of improvement in premature MI is needed to improve outcomes in this patient population.

Impact of social vulnerability on cardiac arrest mortality in the United States, 2016-2020.

Importance: Cardiac arrest is one of the leading causes of morbidity and mortality, with an estimated 340,000 out-of-hospital and 292,000 in-hospital cardiac arrest events per year in the U.S. Survival rates are lower in certain racial and socioeconomic groups. Objective: To examine the impact of social determinants on cardiac arrest mortality among adults stratified by age, race, and sex in the U.S. Design: A county-level cross-sectional longitudinal study using death data between 2016 and 2020 from the Centers for Disease Control and Prevention's (CDC) Wide-Ranging Online Data for Epidemiologic Research (WONDER) database. Setting: Using the multiple causes of death dataset from the CDC's WONDER database, cardiac arrests were identified using the International Classification of Diseases (ICD), tenth revision, clinical modification codes. Participants: Individuals aged 15 years or more whose death was attributed to cardiac arrest. Exposures: Social vulnerability index (SVI), reported by the CDC, is a composite measure that includes socioeconomic vulnerability, household composition, disability, minority status and language, and housing and transportation domains. Main outcomes and measures: Cardiac arrest mortality per 100,000 adults. Results: Overall age-adjusted cardiac arrest mortality (AAMR) during the study period was 95.6 per 100,000 persons. The AAMR was higher for men as compared with women (119.6 vs. 89.9 per 100,000) and for Black, as compared with White, adults (150.4 vs. 92.3 per 100,000). The AAMR increased from 64.8 per 100,000 persons in counties in Quintile 1 (Q1) of SVI to 141 per 100,000 persons in Quintile 5, with an average increase of 13% (95% CI: 9.8-16.9) in AAMR per quintile increase. Conclusion and relevance: Mortality from cardiac arrest varies widely, with a more than 2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the U.S. based on social determinants of health.

Erroneous electrocardiographic interpretations and its clinical implications.

INTRODUCTION: The advancement of artificial intelligence (AI) has aided clinicians in the interpretation of electrocardiograms (ECGs) serving as an essential tool to provide rapid triage and care. However, in some cases, AI can misinterpret an ECG and may mislead the interpreting physician. Therefore, we aimed to describe the rate of ECG misinterpretation and its potential clinical impact in patient's management. METHODS: We performed a retrospective descriptive analysis of misinterpreted ECGs and its clinical impact from May 28, 2020 to May 9, 2021. An electrophysiologist screened ECGs with confirmed diagnosis of atrial fibrillation (AF), sinus tachycardia (ST), sinus bradycardia (SB), intraventricular conduction delay (IVCD), and premature atrial contraction (PAC) that were performed in the emergency department. We then classified the misinterpreted ECGs as wrongly diagnosed AF, ST, SB, IVCD, or PAC into the correct diagnosis and reviewed the misinterpreted ECGs and medical records to evaluate inappropriate use of antiarrhythmic drugs (AAD), beta-blockers (BB), calcium channel blockers (CCB), anticoagulation, or resource utilization of cardiology and/or electrophysiology (EP) consultation. RESULTS: A total of 4969 ECGs were screened with diagnoses of AF (2282), IVCD (296), PAC (972), SB (895), and ST (638). Among these, 101 ECGs (2.0%) were misinterpreted. Wrongly diagnosed AF (58.4%) was the most common followed by wrongly diagnosed PAC (14.9%), wrongly diagnosed ST (12.9%), wrongly diagnosed IVCD (7.9%), and wrongly diagnosed SB (6.0%). Patients with misinterpreted ECGs were aged 76.6 ± 11.6 years with male (52.5%) predominance and hypertension being the most prevalent (83.2%) comorbid condition. The misinterpretation of ECGs led to the inappropriate use of BB (19.8%), CCB (5.0%), AAD therapy (7.9%), anticoagulation (6.9%) in patients with wrongly diagnosed AF, as well as inappropriate resource utilization including cardiology (41.6%) and EP (8.9%) consultations. CONCLUSIONS: Misinterpretation of ECGs may lead to inappropriate medical therapies and increased resource utilization. Therefore, it is essential to encourage physicians to carefully examine AI interpreted ECG's, especially those interpreted as having AF.

Association Between Social Vulnerability Index and Mortality Following Acute Myocardial Infarction in the US Counties.

Social determinants of health (SDOH) play a major role in cardiovascular outcomes. The social vulnerability index (SVI) is a tool designed by the Center for Disease Control (CDC) to measure a community's vulnerability to respond and recover from disasters. The parameters of SVI can be used to gauge social disparities amongst different US counties and its association with acute myocardial infarction (AMI) related to age- adjusted mortality rate (AAMR) by using the multiple causes of death database from CDC, Prevention's Wide-Ranging Online Data for Epidemiological Research (WONDER 2016-2020) and Agency for Toxic Substances and Disease Registry (ATSDR). We used segmented regression models to evaluate the association between quintiles of SVI scores and AAMR using STATA. A total of 2908 of 3289 US counties were used in the analysis. The mean AAMR was 89.3 per 100,000 (95% CI: 87.1-91.5) from 2016 to 2020. US counties with higher SVI were associated with higher AMI-related age-adjusted mortality when compared to counties with lower SVI. Counties with the highest SVI and AAMR were in the mid-western and southern states The findings of our study can guide focused care for a uniform upliftment of CV health across the nation by identifying the distribution of socio-economically disadvantaged counties.

Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks.

This work aims to classify normal and carcinogenic cells in the oral cavity using two different approaches with an eye towards achieving high accuracy. The first approach extracts local binary patterns and metrics derived from a histogram from the dataset and is fed to several machine-learning models. The second approach uses a combination of neural networks as a backbone feature extractor and a random forest for classification. The results show that information can be learnt effectively from limited training images using these approaches. Some approaches use deep learning algorithms to generate a bounding box that can locate the suspected lesion. Other approaches use handcrafted textural feature extraction techniques and feed the resultant feature vectors to a classification model. The proposed method will extract the features pertaining to the images using pre-trained convolution neural networks (CNN) and train a classification model using the resulting feature vectors. By using the extracted features from a pre-trained CNN model to train a random forest, the problem of requiring a large amount of data to train deep learning models is bypassed. The study selected a dataset consisting of 1224 images, which were divided into two sets with varying resolutions.The performance of the model is calculated based on accuracy, specificity, sensitivity, and the area under curve (AUC). The proposed work is able to produce a highest test accuracy of 96.94% and an AUC of 0.976 using 696 images of 400× magnification and a highest test accuracy of 99.65% and an AUC of 0.9983 using only 528 images of 100× magnification images.

The safety of carotid stenosis during vasodilator pharmacologic stress testing.

BACKGROUND: While thousands of patients undergo stress testing annually, the risk of exercise and pharmacologic stress in patients with carotid artery disease has not been fully defined but is of concern as patients are at risk for cerebrovascular accidents and transient ischemic attacks. METHODS: All patients with either ultrasound or CTA evaluation of their carotid arteries from over a 10 year period who underwent stress testing within 180 days without intervening carotid intervention were reviewed for any adverse events within 24 hours of their stress test. The primary end point was any cerebrovascular event or syncope while the secondary endpoints included death, myocardial infarction, urgent angiography, urgent revascularization, or exaggerated hemodynamic response (systolic BP drop > 20 mmHg or systolic BP > 180 mmHg at peak stress). Patients were stratified into categories based on their level of carotid disease. Patients with severe carotid stenosis were propensity matched to those with mild or no stenosis. RESULTS: A total of 4457 patients underwent carotid ultrasound, 10,644 CTA, and 16,011 had stress testing during this time period with 514 having both a carotid evaluation and a stress test within 6 months. After propensity matching, 62 patients with severe carotid stenosis were matched to 170 patients with mild or no carotid stenosis. Incidentally, all patients with severe carotid stenosis underwent pharmacologic stress. There were no primary endpoints and only three secondary endpoints in two patients in the mild or no carotid stenosis group. The proportion of exaggerated hemodynamic response to stress was similar in both groups-21.0% in the carotid stenosis group vs 31.2% without (P = .17) having a significant drop in systolic BP, and 3.2% vs 4.7% (P = 1.0) having a significantly elevated systolic BP. CONCLUSION: In this study cohort there were few primary and secondary outcome events with no events occurring in patients with significant carotid stenosis. Additionally, there was no difference in exaggerated hemodynamic responses. While these results suggest that stress testing entails no demonstrable increased risk in patients with significant carotid stenosis, continued care should be taken given the limitations of the small size of this study.

Capecitabine-Associated Coronary Vasospasm and Cardiac Arrest.

Capecitabine is a prodrug of fluorouracil that specifically targets cancer cells, commonly used as monotherapy for metastatic breast and colorectal cancer. Its side effects include nausea, diarrhea, vomiting, abdominal pain, anorexia, palmar-plantar erythrodysesthesia, anemia, and hyperbilirubinemia. Rarely, this chemotherapy agent has been associated with cardiotoxicity, including cardiac arrest, likely secondary to coronary vasospasm. This case report serves to highlight the unfortunate case of a 32-year-old female who suffered a ventricular fibrillation cardiac arrest three days after initiating capecitabine therapy.

Slip-Ups in the Diagnosis of Cardiac Amyloidosis: A Case Fatality in Point.

This case report illustrates a tragic example of a "missed diagnosis" of amyloid light-chain (AL) amyloidosis with cardiac involvement that led to progressive heart failure and the ultimate death of the patient. It had a rather atypical presentation in terms of cardiac imaging, although there were certain highly suspicious clinical features, cardiac and otherwise. It also illustrates the importance of selecting the most appropriate assays to establish (or rule out) the presence of monoclonal immunoglobulin consistent with AL amyloidosis, which has a poor clinical prognosis, as unfortunately demonstrated in this case.

Automated Bone Marrow Cell Classification for Haematological Disease Diagnosis Using Siamese Neural Network.

The critical structure and nature of different bone marrow cells which form a base in the diagnosis of haematological ailments requires a high-grade classification which is a very prolonged approach and accounts for human error if performed manually, even by field experts. Therefore, the aim of this research is to automate the process to study and accurately classify the structure of bone marrow cells which will help in the diagnosis of haematological ailments at a much faster and better rate. Various machine learning algorithms and models, such as CNN + SVM, CNN + XGB Boost and Siamese network, were trained and tested across a dataset of 170,000 expert-annotated cell images from 945 patients' bone marrow smears with haematological disorders. The metrics used for evaluation of this research are accuracy of model, precision and recall of all the different classes of cells. Based on these performance metrics the CNN + SVM, CNN + XGB, resulted in 32%, 28% accuracy, respectively, and therefore these models were discarded. Siamese neural resulted in 91% accuracy and 84% validation accuracy. Moreover, the weighted average recall values of the Siamese neural network were 92% for training and 91% for validation. Hence, the final results are based on Siamese neural network model as it was outperforming all the other algorithms used in this research.

A nationwide cohort analysis to determine the prevalence of sinus node dysfunction and rates of pacemaker implantation in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) has been known to have various degrees of cardiac involvement. However, limited evidence exists on prevalence of heart rhythm disorders in patients with SLE who have subsequent pacemaker (PM) implantation. The purpose of this study was to examine the prevalence of sinus node dysfunction (SND) in patients with SLE. The data was retrospectively analysed from the National Inpatient Sample database for the years 2010 to 2014 using the International Classification of Disease-9 diagnosis codes for SLE and SND in patients 18 years or older. We analysed data of 158,368 patients with SLE that were admitted from 2010 to 2014. The sample of patients ranged between 18 and 101 years of age (M = 52.13 ± 17.61), were primarily female (88.2%), and were Caucasian (50.6%). The prevalence of SND was 4.3%. In patients with both SLE and SND, the prevalence of PM implantation over the five-year period of analysis was 3.6% and the majority of these patients had a dual-chamber PM (85.6%). Prevalence rates of SND in patients with SLE increased for females over this five-year period (p = 0.023). Prevalence estimates of complications associated with PM in patients with SLE and SND were venous thromboembolism (2.1%), cardiac tamponade (0.4%), sepsis and severe sepsis (0.4%), septic shock (0%), pneumothorax (0%) and PM site hematoma (1.7%). The findings of this study revealed that the prevalence of SND and the prevalence of PM in patients with both SLE and SND have remained relatively consistent over the five years that our study analysed.

Hearing Loss-a Camouflaged Manifestation of COVID 19 Infection.

The symptomatology of novel Severe Acute Respiratory Syndrome Corona virus type 2 infection runs the entire gamut of mild to moderate and serious illness among the affected individuals. As listed in recent literature, respiratory, cardiovascular, gastrointestinal, olfactory and gustatory systems are commonly involved. With the growing knowledge about the disease, varied manifestations have been identified and lately, otorhinolaryngology dysfunctions in COVID 19 have been described. Hearing loss in COVID era is one of the emerging areas of concern and calls for further research in the field for the better understanding and treatment of this entity. This study was designed to assess the audiological profile among 100 mild to moderately affected COVID-19 individuals, so as to make a contribution to the emerging literature on otologic manifestations in COVID 19. In our case series, high frequency hearing loss and referred OAE was noted among significant number of COVID 19 positive patients. This was even observed in patients without any otologic symptoms. Hence, early identification and intervention if required helps to give a better quality of life to the patient.

The absence of evidence is not the evidence of absence: A case report on the challenges in diagnosing ostial left main stenosis.

Because left main (LM) coronary artery stenosis is known to have higher mortality and morbidity compared to lesions in other territories, an early diagnosis and management are crucial to prevent worse outcomes. Due to limitations of coronary angiography (CA), the diagnosis of ostial LM stenosis solely based on CA may result in underdiagnosis of such lesions. Therefore, additional testing is often needed either by pressure wire or intravascular ultrasound (IVUS) to make appropriate diagnosis. We, hereby, present a case of left main ostial stenosis in a 56-year-old male that was missed on multiple coronary angiograms, and highlights many of the considerations in the diagnosis of LM disease.

Granulicatella Causing Infective Endocarditis and Glomerulonephritis.

Granulicatella is a type of nutritionally variant Streptococcus (NVS) that requires special medium for growth. It has shown to cause infective endocarditis which is associated with higher mortality and complications. We present a case of Granulicatella causing endocarditis and glomerulonephritis. There has only been one such prior case report. An adult male with a remote history of gastric bypass presented with shortness of breath with exertion, lower extremity swelling of 1-month duration. Blood cultures 4/4 bottles grew Granulicatella albicans with infected tooth being the source. Transesophageal echocardiogram revealed a vegetation on the mitral valve. He received intravenous vancomycin. He was found to have acute kidney injury requiring hemodialysis. Kidney biopsy revealed immune complex deposits in the mesangium and along the capillary basement membrane suggestive of post infectious glomerulonephritis. It is crucial to recognize NVS as potential cause for endocarditis in cultures that are slow growing. NVS require a special medium. Though it is rare, NSV can also cause glomerulonephritis. Early recognition is important to help with determining treatment options which may include immunosuppressive therapy along with treatment of underlying infection.