Predictors of inpatient admission likelihood and prolonged length of stay among cerebrovascular disease patients: A nationwide emergency department sample analysis.

PURPOSE: To examine the hospital- and patient-related factors associated with increased likelihood of inpatient admission and extended hospitalization. METHODS: We applied multivariate logistic regression to a subset of ED hospital and patient characteristics linearly extrapolated from the 2019 National Emergency Department Sample database (n=626,508). Patient characteristics with 10 or fewer ED visits after national extrapolation were not reported in the current study to maintain patient confidentiality, in accordance with the HCUP Data Use Agreement. All selected ED visits represented a primary diagnosis of CVD (ICD-10 codes 160-168). All reported hospital and patient characteristics were subject to adjustment for covariates. P-values < 0.05 were considered statistically significant. MAIN FINDINGS: Medicare beneficiaries report higher inpatient admission rates than uninsured OR 0.81 (0.73-0.91) and privately insured OR 0.86 (0.79-0.94) individuals. Black and Native-American patients were 37% and 55% more likely to be hospitalized long (>75th percentile) (OR 1.37 [1.25-1.50], OR 1.55 [1.14-2.10]). Northeast emergency departments reported an increased odds of admission compared to the Midwest OR (0.40-0.62), South OR 0.79 (0.63-0.98) and West OR 0.52 (0.39-0.69). Patients with multiple comorbidities (mCCI = 3+) were 226% more likely to have a longer stay OR 3.26 (3.09-3.45) than patients presenting with zero or few comorbidities. Level I, II, and III trauma centers report distinctly high odds of inpatient admission (OR 3.54 [2.84-4.42], OR 2.68 [2.14-3.35], OR 1.51 [1.25-1.84]). PRINCIPAL CONCLUSIONS: Likelihoods of inpatient admission and long hospital stays were observably stratified through multiple, independently acting hospital and patient characteristics. Significant associations were stratified by race/ethnicity, location, and clinical presentation, among others. Attention to the factors reported here may serve well to mitigate emergency department crowding and its sobering impact on United States healthcare systems and patients.

Stroke and HIV-associated neurological complications: A retrospective nationwide study.

There is an increased risk of stroke and other neurological complications in human immunodeficiency virus (HIV) infected patients with no large population-based studies in the literature. We aim to evaluate the prevalence of stroke, HIV-associated neurological complications, and identify risk factors associated with poor outcomes of stroke among HIV admissions in the United States. In the nationwide inpatient sample with adult HIV hospitalizations, patients with primary cerebrovascular disease (CeVDs) and HIV-associated neurological complications were identified by ICD-9-CM codes. We performed a retrospective study with weighted analysis to evaluate the prevalence of stroke and neurological complications and outcomes of stroke among HIV patients. We included 1,559,351 HIV admissions from 2003 to 2014, of which 22470 (1.4%) patients had CeVDs (transient ischemic attack [TIA]: 3240 [0.2%], acute ischemic stroke [AIS]: 14895 [0.93%], and hemorrhagic stroke [HS]: 4334 [0.27%]), 7781 (0.49%) had neurosyphilis, 29,925 (1.87%) meningitis, 39,190 (2.45%) cytomegalovirus encephalitis, 4699 (0.29%) toxoplasmosis, 9964 (0.62%) progressive multifocal leukoencephalopathy, and 142,910 (8.94%) epilepsy. There is increased overall prevalence trend for CeVDs (TIA: 0.17%-0.24%; AIS: 0.62%-1.29%; HS: 0.26%-0.31%; pTrend < .0001) from 2003 to 2014. Among HIV admissions, variables associated with AIS were neurosyphilis (odds ratio: 4.38; 95% confidence interval: 3.21-5.97), meningitis (4.87 [4.10-5.79]), and central nervous system tuberculosis (6.72 [3.85-11.71]). Toxoplasmosis [4.27 [2.34-7.76]), meningitis (2.91 [2.09-4.06)], and cytomegalovirus encephalitis (1.62 [1.11-2.37]) were associated with higher odds of HS compared to patients without HS. There was an increasing trend of CeVDs over time among HIV hospitalizations. HIV-associated neurological complications were associated with the risk of stroke, together with increased mortality, morbidity, disability, and discharge to long-term care facilities. Further research would clarify stroke risk factors in HIV patients to mitigate adverse outcomes.

Stroke-like migraine attacks after radiation therapy (SMART) syndrome-a case series and review.

INTRODUCTION: Cranial irradiation is used both prophylactically and for the treatment of brain tumors. There are various complications associated with it. The rare complication of stroke-like migraine attacks after radiation therapy (SMART) syndrome usually occurs several years after radiation therapy but is a reversible phenomenon. It usually presents with headaches, seizures, or other focal neurological deficits concerning stroke or recurrence of the underlying disease. OBJECTIVES: We aim to present two cases of SMART syndrome highlighting the typical presentation, imaging findings, and differential diagnosis. We also conducted the literature review since the early recognition of this rare delayed onset complication is crucial, given its self-limited course and to avoid misinterpretations of the cases. CONCLUSION: Our extensive review favors MRI, CT, and prolonged EEG monitoring to rule out other differentials and showed that initiation of corticosteroid therapy and antiepileptic treatment were helpful in the resolution of symptoms and prevent recurrences. Therefore, future studies should be focused on early identification and management guidelines for SMART syndrome.

Sex and racial disparity in utilization and outcomes of t-PA and thrombectomy in acute ischemic stroke.

BACKGROUND/PURPOSE: Racial/ethnic and sex disparity may occur in stroke throughout the continuum of care. Endovascular therapy (EVT) became standard of care in 2015 for eligible patients with acute ischemic stroke (AIS). We evaluated for racial and sex differences in t-PA and EVT utilization and outcomes in 2016 in the National Inpatient Sample. METHODS: Treatment rates for t-PA, EVT, and t-PA+EVT and outcomes including home discharge, in-hospital mortality and prolonged length of stay (pLOS) were evaluated by sex and race. Multivariate survey-logistic regression was performed to evaluate outcomes. RESULTS: The study had 468,630 patients - 49.3% men, 50.7% women; 69.3% whites, and 30.7% non-whites. There was no difference in treatment utilization by sex, women vs men for t-PA (7.65% vs 7.76%; aOR:1.02; 95% CI:0.97-1.07), EVT (1.74% vs 1.67%; aOR:1.09; 95% CI:0.99-1.20) and t-PA+EVT (0.57% vs 0.57%; aOR:1.01; 95% CI:0.85-1.21); and by race, non-white vs white for t-PA (7.62% vs 7.74%; aOR:0.98; 95% CI:0.93-1.05), EVT (1.62% vs 1.74%; aOR:0.91; 95% CI:0.78-1.07), and t-PA+EVT(0.59% vs 0.56%; aOR:1.05; 95% CI:0.84-1.30). Compared to men, women treated with t-PA had less home discharge (37.2% vs 46.3%; aOR:0.81; 95% CI:0.72-0.90), more in-hospital mortality (5.7% vs 3.9%; aOR:1.37; 95% CI:1.06-1.77) and less pLOS (8.3% vs 9.6%; aOR:0.82; 95% CI:0.69-0.98); women treated with EVT had less home discharge (15.8% vs 23.7%; aOR:0.69; 95% CI:0.52-0.91). Compared to whites, non-whites treated with t-PA had lower odds of home discharge (42.1% vs 41.6%; aOR:0.79; 95% CI:0.69-0.90), less in-hospital mortality (3.7% vs 5.3%; aOR:0.65; 95% CI:0.49-0.87), and higher pLOS (11.4% vs 7.9%; aOR:1.3; 95% CI:1.07-1.56); non-whites treated with EVT had less home discharge (18%vs 20.2%; aOR:0.70; 95% CI:0.51-0.97) and higher pLOS (35.1% vs 24%; aOR:1.52; 95% CI:1.16-1.99). CONCLUSION: Sex and racial disparity exists for outcomes of t-PA and EVT despite no difference in utilization rates.

Trends in Volume and Charges of Retinal Tear Patients in the Emergency Department.

PURPOSE: To characterize retinal tears (RTs) and calculate the economic burden of RTs that present to the emergency department (ED) in the US. METHODS: We used a large national ED database to retrospectively analyze RTs that presented to the ED from 2006 to 2019. Using extrapolation methods, national of the RT patient ED volume, demographics, comorbidities, disposition, inpatient (IP) charges, and ED charges were calculated. RESULTS: During the period between 2006 and 2019, 15841 ED encounters had RT listed as the primary diagnosis. The average annual RT ED encounters was 2,640 ± 856 and comprised an average of 6.4 × 10-5% of all ED visits annually. The number and ED percentage of RT encounters did not change during this time period (p = .22, p = .67, respectively). Most patients were males, Caucasian, paid with private insurance, and admitted to EDs in the Northeast. The most common comorbidities were hypertension (19%), a history of cataracts (15%), and diabetes (7.2%). During this time period, RTs charges added up to more than $79 million and $33 million in the ED and IP settings, respectively. Mean per-encounter ED and IP charges increased by 145% (p = .0008) and 86% (p = .0047), respectively. CONCLUSION: Despite the stable number of RT patients presenting to the ED, RTs place a significant economic burden to the healthcare system, which increases yearly. We recommend physicians and policy makers to work together to pass laws that could prevent the increasing healthcare charges.

E-cigarette Use and Severe Coronavirus Disease 2019 (COVID-19) Outcomes: A Meta-Analysis.

E-cigarettes have been known to cause varied poor health outcomes prior to coronavirus disease 2019 (COVID-19), but after the impact of COVID-19, evidence came out that was, in some instances, not as expected regarding the severity of COVID-19 among e-cigarette users (vapers). A meta-analysis was performed on the available evidence to comprehensively find the effect of COVID-19 on existing or past e-cigarette users (vapers). The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were used to perform this meta-analysis. PubMed was searched for observational studies that described outcomes after COVID-19 positivity from December 1, 2019, to December 2023. Medical Subject Headings (MeSH) keywords were used for searching the relevant studies highlighting the relationship between COVID-19 and e-cigarette users. Calculations for pooled prevalence, 95% confidence interval (95% CI), weights for current e-cigarette users and vapers, and outcomes (events) were made. To analyze the data, Review Manager V.5.4 was used. The I² statistic was used to assess statistical heterogeneity. The I² statistic of >50% was considered significant heterogeneity. The "leave-one-out" method was used for sensitivity analysis. Out of 3231 studies, four studies reported data on vaping and non-vaping status and composite outcomes, resulting in a sample size of 653 COVID-19-positive cases. The pooled prevalence of being COVID-19 positive, having symptoms, or visiting an emergency room was 7.78% (653/8392). COVID-19 patients with current vaping status had decreased odds of poor outcomes compared to non-smokers, with a pooled odds ratio (OR) of 0.09 (95% CI 0.00-2.42; p>0.05) with heterogeneity between studies (I²=99%, p=0.15). Because of difficulties related to data collection and other factors, this meta-analysis was unable to conclusively establish the correlation between e-cigarette usage and severe COVID-19 outcomes such as hospitalization, admission to the intensive care unit, and fatality. Additional research using more detailed data is necessary to fully understand this correlation.

Prevalence and Outcomes of Depression, Obstructive Sleep Apnea, and Concurrent Anxiety (DOCA) in Stroke Survivors: Insights From a Nationwide Study.

BACKGROUND: Many individuals will also experience psychological side effects after a stroke episode, such as symptoms of depression, anxiety (generalized anxiety disorder (GAD)), and/or specific phobias, considerably decreasing their quality of life (QOL). OBJECTIVE: This study aimed to evaluate the prevalence of depression, obstructive sleep apnea (OSA), and concurrent anxiety (DOCA) and their outcomes (morbidity, disability (All Patient Refined Diagnosis Related Group (APRDRG) - loss of function), and discharge disposition) among acute ischemic stroke (AIS) hospitalizations. METHODS: A cross-sectional study used the National Inpatient Sample (NIS) from 2003-2017. Adults with hospitalizations with AIS were extracted, and DOCA was identified using ICD-9/10-CM codes. Weighted analysis using a chi-square test and mixed-effect multivariable survey logistic regression was used to assess the prevalence and role of DOCA in predicting outcomes. RESULTS: Out of 5,690,773 AIS hospitalizations, 2.7%, 3.1%, and 4.4% had depression, OSA, and GAD, respectively. In AIS patients, females had a higher prevalence of depression (3.4% vs. 2.3%) and GAD (5.9% vs. 3.0%) and a quality of life lower prevalence of OSA (2.2% vs 4.4%) in comparison to males (p<0.0001). Caucasians had a higher prevalence of depression, OSA, and GAD in comparison to others (African Americans/Hispanics/Asians/Native Americans). Depressed patients had a higher prevalence of morbidity (9% vs. 8% vs 5% vs. 7%), disability (46% vs. 46% vs. 35% vs. 37%), transfer to non-home (69% vs. 58% vs. 61% vs. 63%) in comparison with OSA, GAD, and non-DOCA patients, respectively (p<0.0001). Depression was associated with a 40% higher chance of severe disability (aOR 1.40; 95% CI 1.38-41), morbidity (1.36; 1.33-1.38), and discharge to non-home (1.54; 1.52-1.56). OSA and GAD had higher odds of non-home discharge amongst post-AIS hospitalizations. CONCLUSION: DOCA is associated with poor outcomes among post-AIS patients. Prompt recognition by screening and timely management of DOCA may mitigate the adverse outcomes.

Epidemiology, Trends, Utilization Disparities, and Outcomes of Catheter Ablation and Its Association With Coronary Vasospasm Amongst Patients With Non-valvular Atrial Fibrillation: A Nationwide Burden of Last Decade.

BACKGROUND: Catheter ablation (CA) is an important curative treatment for non-valvular atrial fibrillation (NVAF), however, nationwide data on its utilization and disparities is limited. Coronary vasospasm is a rare, life-threatening, peri-operative complication of CA with limited literature in Caucasians. METHODS: We performed a retrospective study on adult hospitalizations in the USA from 2007 to 2017 by obtaining the data from National Inpatient Sample. The primary endpoints of our study were to identify the utilization rate of CA, disparities in utilization, and study the outcomes associated with CA. The secondary endpoints of the study were to identify the incidence of coronary vasospasm amongst patients who underwent CA, evaluate their association, and identify the predictors of coronary vasospasm. RESULTS: From 35,906,946 patients with NVAF, 343641 (0.96%) underwent CA. Its utilization decreased from 1% in 2007 to 0.71% in 2017. Patients who underwent CA, compared to those without CA, fared better in terms of hospital length of stay, mortality rate, disability rate, and discharge to the non-home facility. Patients in the 50-75 years age group, Native Americans, those with private insurance, and median household income of 76-100th percentile were associated with higher odds of CA utilization. Urban teaching hospitals and large-bedded hospitals performed more ablations, while the Mid-West region fared lower than the South, the West, and the Northeast. The prevalence of coronary vasospasm was higher amongst CA in comparison without CA, however, in regression analysis, no significant association was demonstrated between CA and coronary vasospasm. CONCLUSION: CA is an important treatment modality that is associated with improved clinical outcomes. Identification of factors associated with lower utilization of CA and its disparities will help to mitigate the burden associated with NVAF.

Substance Use Disorders (SUDs) and Risk of Cardiovascular Disease (CVD) and Cerebrovascular Disease (CeVD): Analysis of the Nationwide Inpatient Sample (NIS) Database.

BACKGROUND:  Substance use continues to be on the rise in the United States and has been linked to new onset cardiovascular diseases (CVDs) and cerebrovascular disorders (CeVDs). We aimed to study the association between the types of substance use disorders (SUDs) with specific subtypes of CVDs and CeVDs among hospitalized patients using the National Inpatient Sample (NIS) Database. METHODS:  A retrospective study of the NIS database (2016-2017) using the ICD-10-CM codes was performed. The hospitalizations with a secondary diagnosis of SUDs were identified. Weighted univariate analysis using the Chi-square test and multivariate survey logistic regression analysis was performed to evaluate for the incidence, prevalence, and odds of association between vascular events and SUDs. RESULTS:  There were a total of 58,259,589 hospitalizations, out of which 21.42% had SUDs. SUDs were more common in the younger age group of 18-50, males, and the lower median household income group. We found a significant association of acute ischemic stroke (AIS) with amphetamine dependence (adjusted odds ratio, aOR 1.23, 95% confidence interval, CI 1.14-1.33), cocaine-related disorders (1.17, 1.12-1.23), and nicotine dependence (1.42, 1.40-1.43). There was a significant association between intracerebral hemorrhage with amphetamine dependence (2.58, 2.26-2.93), cocaine-related disorders (1.62, 1.46-1.79), and alcohol-related disorders (1.35, 1.01-1.82). The association of subarachnoid hemorrhage (SAH) was noted to be higher with amphetamine dependence (1.82, 1.48-2.24) and nicotine dependence (1.47, 1.39-1.55). The patients with nicotine dependence had greater odds of having a myocardial infarction (1.85, 1.83-1.87), those with cocaine-related disorders had higher odds of having angina pectoris (2.21, 1.86-2.62), and patients with alcohol-related disorders had higher odds of developing atrial fibrillation (1.14, 1.11-1.17) in comparison to non-SUDs. CONCLUSION:  Our study demonstrates the variability of CVD and CeVD in patients hospitalized for SUD. Findings from our study may help promote increased awareness and early management of these events. Further studies are needed to evaluate the specific effects of frequency and dose on the incidence and prevalence of CVD and CeVD in patients with SUD.

Gastrointestinal Manifestations and Outcomes of COVID-19: A Comprehensive Systematic Review and Meta-analysis.

Introduction Pulmonary symptoms are the most prominent manifestations of Coronavirus disease 2019 (COVID-19). However, gastrointestinal (GI) symptoms have been reported widely as well. Literature describing the relation of these symptoms with outcomes of COVID-19 patients is limited in terms of sample size, geographic diversity, and the spectrum of GI symptoms included. We aim to evaluate the association of GI symptoms with outcomes of hospitalized COVID-19 patients. Methods A systematic review and meta-analysis of observational studies assessing GI symptoms and outcomes in COVID-19 patients were undertaken using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) checklist. Details on outcomes included ICU vs. non-ICU admission, severe vs. non-severe disease, invasive mechanical ventilation (IMV) vs. no-IMV use, oxygen saturation <90% vs. >90%, in-hospital mortality vs. discharged alive and survivors. We obtained the odds ratio (OR), 95% confidence interval (95%CI), and forest plots. Sensitivity analysis was used to analyze publication bias and heterogeneity. Results In 35 studies with 7931 confirmed COVID-19 patients, we found that anorexia (pooled OR:2.05; 95%CI: 1.36-3.09, p=0.0006) and abdominal pain (OR 2.80; 95%CI: 1.41-5.54, p=0.003) were associated with a higher risk of poor outcomes and no such association was found for diarrhea (OR 1.04; 95%CI: 0.85-1.26, p=0.71), nausea (OR 0.73; 95%CI: 0.38-1.39, p=0.34) and vomiting (OR 1.24; 95%CI 0.86-1.79, p=0.25). Conclusion The meta-analysis concludes that anorexia and abdominal pain are associated with poor outcomes in hospitalized COVID-19 patients, while diarrhea, nausea, and vomiting have no association. Future research should focus on whether detecting GI invasion in conjunction with fecal polymerase chain reaction (PCR) testing can aid in the early triage of high-risk individuals and improve outcomes.

Past and Present of Point-of-Care Ultrasound (PoCUS): A Narrative Review.

This article aims to conduct a literature review to gain insight into point-of-care ultrasound (PoCUS). PoCUS is a rapid, accurate, non-invasive, and radiation-free imaging modality that can be used in stable and unstable patients. PoCUS can be performed parallel to physical examination, resuscitation, and stabilization; repeated exams in critical patients are essential for improving sensitivity. The review highlights how PoCUS, which was initially used to detect free intraperitoneal fluid in trauma patients, has developed into a life-saving diagnostic tool that could be utilized by treating physicians during various stages of diagnosis, resuscitation, operation, and postoperative critical care when managing sick patients. The review also notes the barriers to the widespread uptake of PoCUS in general internal medicine and the recent commercial availability of "pocket" or handheld probes that have made PoCUS more readily available. This review concludes that adopting a focused binary decision-making approach can maximize PoCUS's value in many clinical settings, including emergency departments, intensive care units, and operation theatres. Overall, the review emphasizes the importance of awareness of common indications, limitations, and strengths of this evolving and promising technology to determine its future trajectory: Providing comprehensive PoCUS training within internal medicine curriculums and supporting trainers to do so.

Using Ethereum Smart Contracts to Store and Share COVID-19 Patient Data.

Introduction The emergence and rapid spread of the coronavirus disease 2019 (COVID-19) pandemic have revealed the limitations in current healthcare systems to handle patient records securely and transparently, and novel protocols are required to address these shortcomings. An attractive option is the use of Ethereum smart contracts to secure the storage of medical records and concomitant data logs. Ethereum is an open-source platform that can be used to construct smart contracts, which are collections of code that allow transactions under certain parameters and are self-executable. Methods The present study developed a proof-of-concept smart contract that stores COVID-19 patient data such as the patient identifier (ID), variant, chest CT grade, and significant comorbidities. A sample, fictitious patient data for the purpose of testing was configured to a private network. A smart contract was created in the Ethereum state and tested by measuring the time to insert and query patient data. Results Testing with a private, Proof of Authority (PoA) network required only 191 milliseconds and 890 MB of memory per insertion to insert 50 records while inserting 350 records required 674 milliseconds and similar memory per insertion, as memory per insertion was nearly constant with the increasing number of records inserted. Retrieving required 912 MB for a query involving all three fields and no wildcards in a 350-record database. Only 883 MB was needed to procure a similar observation from a 50-record database. Conclusion This study exemplifies the use of smart contracts for efficient retrieval/insertion of COVID-19 patient data and provides a case use of secure and efficient data logging for sensitive COVID-19 data.

An Analysis of Epidemiological Factors in Heart Failure Outcomes.

Background Various socioeconomic and demographic factors play a role in determining treatment outcomes across numerous conditions. Different studies have shown that certain demographic factors, such as income status, directly correlate with treatment outcomes. In this study, we analyze the effect of some of these variables, namely, insurance and age, on various endpoints, including length of stay and discharge status, among heart failure patients. Methodology The data used in this project were retrieved from the HealthCare Utilization Project. We sorted the data by insurance, age, length of stay, and discharge status. To compare discharge status between different insurance types and age groups, we used Stata to compute odds ratios and 95% confidence intervals. To compare the length of stay among different age groups and insurance types, we conducted an unpaired two-tailed Student's t-test. Results Across all age groups, we found that younger patients with heart failure are more likely to discharge against medical advice compared to older patients. The average length of stay for heart failure patients was the same across all age groups except those 85 and older. Moreover, patients with a lower socioeconomic status, as determined by insurance type, were more likely to discharge against medical advice and less likely to die within hospitals. Conclusions Our results speak to the socioeconomic inequalities seen in medicine today. Studies have shown that those with a lower socioeconomic status tend to have worse outcomes across various conditions. Our analysis shows this phenomenon holds true for heart failure as well. In addition, our study helps to determine which groups are at higher risk of making medical decisions, such as discharging against medical advice, that will negatively affect their condition. Identifying these high-risk groups is a key first step to counteracting such behavior.

Carpal Tunnel Syndrome: Pathophysiology and Comprehensive Guidelines for Clinical Evaluation and Treatment.

In carpal tunnel syndrome (CTS), the median nerve is compressed at the level of the carpal tunnel in the wrist. This entrapment manifests as unpleasant symptoms, such as burning, tingling, or numbness in the palm that extends to the fingers. As the disease progresses, afflicted individuals also report decreased grip strength accompanied by hand weakness and restricted movement. The first half of this review elaborates on CTS pathology by providing readers with a comprehensive understanding of the etiology, relevant anatomy, and disease mechanism. CTS is considered the most common entrapment neuropathy, affecting around 3-6% of the adult population. Further, CTS prevalence has seen a dramatic increase in the last few decades paralleling the growth of everyday technology usage. Despite how common it is to have CTS, it can be quite challenging for physicians to make a definite diagnosis due to differentials that present with overlapping symptoms. Even more difficult can be deciding on a course of treatment that is the most effective and considerate of patient needs. Thus arises the need for clear clinical direction, and hence we end with a discussion around such guidelines that serve as a starting point toward effective diagnoses and patient treatment.

Programmed Death-Ligand 1 (PD-L1) Positivity and Factors Associated with Poor Prognosis in Patients with Gastric Cancer: An Umbrella Meta-Analysis.

Gastric cancer (GC) is one of the most common malignancies throughout the world with late diagnosis and poor prognosis. The expression of programmed death-ligand 1 (PD-L1) in GC is attributed to immune evasion and tumor progression. PD-L1 positivity has both predictive and prognostic biomarker potential. Aiming to summarize a large amount of research and to provide a definitive conclusion to the conflicting results on the prognostic significance of PD-L1 expression in GC, we performed an umbrella review based on existing meta-analyses which were published recently (2016-2021) and indexed in the PubMed database. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used in August 2021 to screen articles, and data extraction with quality assessment was performed on the selected meta-analyses. Review Manager (RevMan) 5.3 software was used to analyze the HR and OR with a 95% confidence interval (CI) among PD-L1 positive GC patients. We also assessed the between-study heterogeneity (I 2). Forest and Funnel plots were obtained, and a P-value of <0.05 was considered statistically significant. A total of 567 articles were screened, and we selected three meta-analyses with a total of 40 studies conducted over a period of 14 years. In our umbrella review, a total of 8,419 GC patients with an average PD-L1 positivity of 39% were analyzed. We found that PD-L1 positivity in GC patients is associated with poor prognosis (pooled HR =1.44, 95% CI: 1.24-1.68, P<0.00001) having higher mortality reducing the chances of overall survival (OS). However, there are no significant differences in PD-L1 expression among different lymph node (LN) metastases (OR=1.31, 95% CI: 0.98-1.74, P=0.07) and tumor, node, and metastasis (TNM) stages (OR=1.13, 95% CI: 0.80-1.58, P=0.50). Early identification of PD-L1 expression may help tailor cost-effective and targeted immunotherapy among GC patients. More research is needed to further understand how PD-L1 affects LN metastasis and tumor invasion.

Long-Term Neurological Sequelae Among Severe COVID-19 Patients: A Systematic Review and Meta-Analysis.

Few studies have thoroughly evaluated the neuro-invasive effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which may contribute to a wide range of sequelae from mild long-term effects like headaches and fatigue to severe events like stroke and arrhythmias. Our study aimed to evaluate the long-term neurological effects of coronavirus disease 2019 (COVID-19) among patients discharged from the hospital. In this systematic review and meta-analysis, we assessed the long-term neurocognitive effects of COVID-19. Post-COVID-19 neurological sequelae were defined as persistent symptoms of headache, fatigue, myalgia, anosmia, dysgeusia, sleep disturbance, issues with concentration, post-traumatic stress disorder (PTSD), suicidality, and depression long after the acute phase of COVID-19. Data from observational studies describing post-COVID-19 neurocognitive sequelae and severity of COVID-19 from September 1, 2019, to the present were extracted following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol with a consensus of three independent reviewers. A systematic review was performed for qualitative evaluation and a meta-analysis was performed for quantitative analysis by calculating log odds of COVID-19 neurocognitive sequelae. The odds ratio (OR) and 95% confidence interval (CI) were obtained and forest plots were created using random effects models.  We found seven studies, out of which three were used for quantitative synthesis of evidence. Of the 3,304 post-COVID-19 patients identified, 50.27% were male with a mean age of 56 years; 20.20% had post-COVID-19 symptoms more than two weeks after the acute phase of infection. Among persistence symptoms, neurocognitive symptoms like headache (27.8%), fatigue (26.7%), myalgia (23.14%), anosmia (22.8%), dysgeusia (12.1%), sleep disturbance (63.1%), confusion (32.6%), difficulty to concentrate (22%), and psychiatric symptoms like PTSD (31%), feeling depressed (20%), and suicidality (2%) had a higher prevalence. In meta-analysis, COVID-19 patients with severe symptoms had higher odds of headache (pooled OR: 4.53; 95% CI: 2.37-8.65; p<0.00001; I2: 0%) and myalgia (pooled OR: 3.36; 95% CI: 2.71-4.17; p<0.00001; I2: 0%). Anosmia, fatigue, and dysgeusia had higher but non-significant odds following COVID-19. Although we had sufficient data for headache and fatigue to identify higher rates and associations following COVID-19, we could not establish relationships with other post-COVID-19 neurocognitive séqueles. Long-term follow-up may mitigate the neurocognitive effects among COVID-19 patients as these symptoms are also associated with a poor quality of life.

Epidemiology, Burden, and Association of Substance Abuse Amongst Patients With Cardiovascular Disorders: National Cross-Sectional Survey Study.

BACKGROUND: Substance use disorders (SUDs) are considered to be a major risk factor for cardiovascular disorders (CVDs). In 2019, as per the National Drug Use and Health Survey (NSDUH), 20.4 million American adults suffered from a substance use disorder. The main purpose of this study is to determine the prevalence of several SUDs (cigarette smoking, cigar, smokeless tobacco, marijuana, cocaine/heroin/methamphetamine, and injectable illegal drug) amongst patients diagnosed with various CVDs (angina pectoris, myocardial infarction, and coronary heart disease). METHODS: This is a retrospective cross-sectional study carried out using the National Health and Nutrition Examination Survey (NHANES) database from 2013 to 2018, and respondents with CVDs were recognized using questionnaires. Different SUDs (active history) were identified amongst the adult population with a history of CVDs and without CVDs. Univariate analysis was performed using chi-square and unpaired t-test/Mann-Whitney test to identify characteristics of respondents with CVDs and mix effect multivariable logistic regression models were generated to find the prevalence of SUDs amongst the CVD population. Datasets were analyzed using Statistical Analysis System (SAS) software, and the p-value of < 0.05 was considered statistically significant. RESULTS: Of the 263465 respondents, 7.90% respondents were diagnosed with CVDs and were noted to be in older age group (median age: 69 years). CVDs were more prevalent amongst 66-years and above (19.36% vs. 45-64 years: 6.81% vs. 18-44 years: 1.17%), male (10.40% vs. female: 5.66%), Non-Hispanic White race (10.92%), and lower annual household income population (<$25000 vs. >$100,000:12.21% vs. 4.01%) (p<0.0001). When compared with respondents without a history of CVDs, respondents with a history of CVDs were noted to be more prevalent with a concurrent diagnosis of hypertension (85.98% vs. 79.53%), hypercholesterolemia (68.78% vs. 34.54%), diabetes (37.86% vs. 12.70%), stroke (17.4% vs. 2.71%), and congestive heart failure (28.80% vs. 1.31%) (p<0.0001). History of CVDs were more prevalent amongst the respondents using marijuana (overall 53.14%; CVD vs. no-CVD 65.42% vs. 52.81%; p<0.0001), cigarette smoking (60.47% vs. 40.41%; p<0.0001), cigar-smoking (47.05% vs. 35.58%; p<0.0001), methamphetamine/cocaine/heroin (23.82% vs. 16.71%; p<0.0001), smokeless tobacco use (18.53% vs. 14.59%; p<0.0001), and injectable illegal drug use (4.67% vs. 2.43%; p<0.0001). Additionally, prevalence of history of CVDs was almost double in respondents using cigarettes without filters (2.28% vs. 1.10%; p<0.0001) when compared with respondents using cigarettes with filters. CONCLUSION: Respondents who used marijuana or hashish, injectable illegal drugs, and e-cigars were at elevated risk for cardiovascular disorders. Providing situational awareness and offering a good support system can be a strategy to prevent the development of cardiovascular disorders among substance users.

Prevalence of Cerebrovascular Accidents Among the US Population With Substance Use Disorders: A Nationwide Study.

Introduction Globally, stroke is one of the top ten causes of death. The incidence of stroke in patients aged 44 years and younger was noted to have risen over the past three decades. This rise in stroke diagnosis among young adults could be attributed to multiple reasons, including the rising prevalence of comorbidities like diabetes, hypertension, substance use disorders (SUDs), etc. Aim & objectives This study's primary aim was to evaluate the prevalence of stroke in the US population and the prevalence of SUDs amongst patients with a prior history of stroke. The secondary aim was to evaluate the association between Stroke and SUDs. Methods Our population was obtained from the National Health and Nutrition Examination Survey (NHANES) between the years 2013 to 2018. We identified respondents diagnosed with stroke using the questionnaire and the history of various SUDs amongst this population. The data were analyzed using SAS software (Version 9.4). We performed univariate analysis using the chi-square and Mann-Whitney test, and a p-value of <0.05 was considered statistically significant. Results Two hundred sixty-four thousand seven hundred forty (264,740) respondents were included in this study, and 10435 (3.94%) respondents were noted to have a history of stroke. The population subset with a stroke diagnosis was older (68 years vs. 51 years). Higher prevalence was noted among the female sex (52.14% females vs. 47.86% males), Non-Hispanic white ethnicity, followed by Non-Hispanic black & then other Hispanics (47.56% vs.25.47% vs. 7.82%), and those belonging to a lower annual household income of $0-$25,000 and $25,000-$65,000 ( 46.61% vs. 35.93% ). (p<0.0001). After adjusting for socio-demographics and coexisting comorbidities, e-cigarette [OR: 2.03; 95% CI: 2.03-2.03], cocaine [OR: 1.54; 95%CI:1.54-1.54], heroin [OR: 1.83; 95%CI: 1.83-1.83], marijuana or hashish [OR: 1.01; 95% CI: 1.01-1.01], were observed to have an association with higher odds of stroke than the population without a history of using these illicit drugs.  Conclusion Among respondents with a history of stroke, the use of cocaine was most prevalent, followed by marijuana/hashish, heroin, e-cigarettes, and injecting illegal drugs. The odds of having a stroke were two times higher in the population using an e-cigarette and higher among those using heroin, cocaine, and marijuana/ hashish. The Government should plan policy changes to treat SUDs in the USA, which could help reduce the stroke burden. Recall that bias and geographic variations in response rate by participants of the study were the limitations of our survey-based study.

Disparities in diagnosis of cerebral amyloid angiopathy based on hospital characteristics.

Cerebral amyloid angiopathy (CAA) categorized as a cerebral small vessel disease can cause lobar intracerebral hemorrhage (ICH), convexity subarachnoid hemorrhage (SAH) and ischemic stroke (IS). The purpose of this study was to evaluate the differences in the diagnosis of CAA based on hospital characteristics and to assess the discharge outcomes of patients with CAA admitted for IS, ICH and SAH. Adult patients admitted with secondary diagnosis of CAA were identified in National Inpatient Sample in 2016 and 2017. Multivariable logistic regression analysis was performed to evaluate outcomes. A total of 16,040 patients had a secondary diagnosis of CAA. Among CAA patients, 1810 (11.3%) patients were admitted for IS, 4765 (29.7%) for ICH and 490 (3.1%) for SAH. Diagnosis of CAA was five-fold higher among patients admitted to urban teaching hospitals (aOR = 5.4;95% CI = 4.1-7.2) compared to rural hospitals and two-fold higher in large bed size hospitals (aOR = 2.3;95% CI = 2.0-2.7) compared to small bed size hospitals. Compared to non-CAA group, patients with history of CAA had lower odds of in-hospital mortality among patients admitted for ICH (10% vs 23%, aOR = 0.35; 95%CI = 0.27-0.44) and SAH (6% vs 19%, aOR = 0.24; 95%CI = 0.10-0.55); and higher odds of discharge to home among patients admitted for ICH (17% vs 18%, aOR = 1.27; 95%CI = 1.05-1.53). CAA diagnosis is less common in rural and small bed size hospitals compared to urban and large bedside hospitals, respectively. Patients with CAA admitted for ICH have better discharge outcomes compared to non-CAA patients admitted for ICH.

Age differences in utilization and outcomes of tissue-plasminogen activator and mechanical thrombectomy in acute ischemic stroke.

BACKGROUND AND PURPOSE: U.S. demographics is shifting towards older population. Older stroke patients likely receive less tissue-plasminogen activator (t-PA) and mechanical thrombectomy (MT) compared to younger patients. The objective of this study is to evaluate extent of difference in utilization of t-PA and MT and outcomes of stroke between three age groups -18-45 (young adults), 46-80 (middle/old), and > 80 (oldest old) years. METHODS: It is a retrospective cross-sectional observational study. Primary outcomes were rates of stroke intervention and effect of age on stroke intervention. Secondary outcomes were in-hospital mortality, discharge to home, and prolonged length of stay. Multivariate survey-logistic regression was performed to evaluate outcomes. RESULTS: Among 487,105 patients in the study 4.8% were young adults, 66.6% middle/old, and 28.6% oldest old. Compared to young adults, middle/old received 19% (OR = 0.81; 95%CI = 0.72-0.91) less t-PA alone; and 33% (OR = 0.67; 95%CI = 0.53-0.83) less MT alone; oldest old received 25% less t-PA alone (OR = 0.75; 95%CI = 0.66-0.86) and 51% (OR = 0.49; 95%CI = 0.38-0.63) less MT alone. Compared to young adults, in-hospital mortality was three-fold higher among middle/old (OR = 3.5; 95%CI = 1.3-9.6), and seven-fold higher among oldest old (OR = 7.5; 95%CI = 2.8-20.5) for t-PA alone; discharge to home reduced by 40% in middle/old (OR = 0.6; 95%CI = 0.4-0.7) and by 80% in oldest old (OR = 0.2; 95%CI = 0.1-0.2) for t-PA alone and similarly for MT alone. CONCLUSIONS: Oldest old receive one-fourth less t-PA and half less MT compared to young adults. Oldest old patients who received t-PA alone or MT alone had remarkably worse outcomes for in-hospital mortality and discharge to home than young adults did.