Racial Disparities in Failure to Rescue after Pediatric Heart Surgeries in the US.

OBJECTIVE: To identify the trend in failure to rescue (FTR) and risk factors contributing to racial disparities in FTR after pediatric heart surgery using contemporary nationwide data. STUDY DESIGN: We identified 85 267 congenital heart surgeries in patients <18 years of age from 2009 to 2019 using the Kid's Inpatient Database. The primary outcome was FTR. A mixed-effect logistic regression model with hospital random intercept was used to identify independent predictors of FTR. RESULTS: Among 36 753 surgeries with postoperative complications, the FTR was 7.3%. The FTR decreased from 7.4% in 2009 to 6.3% in 2019 (P = .02). FTR was higher among Black than White children for all years. The FTR was higher among girls (7.2%) vs boys (6.6%), children aged <1 (9.6%) vs 12-17 years (2.4%), and those of Black (8.5%) vs White race (5.9%) (all P < .05). Black race was associated with a higher FTR odds (OR, 1.40; 95% CI, 1.20-1.65) after adjusting for demographics, medical complexity, nonelective admission, and hospital surgical volume. Higher hospital volume was associated with a lower odds of FTR for all racial groups, but fewer Black (19.7%) vs White (31%) children underwent surgery at high surgical volume hospitals (P < .001). If Black children were operated on in the same hospitals as White children, the racial differences in FTR would decrease by 47.3%. CONCLUSIONS: Racial disparities exist in FTR after pediatric heart surgery in the US. The racial differences in the location of care may account for almost half the disparities in FTR.

Minimally invasive procedures for right side infective endocarditis: A targeted literature review.

INTRODUCTION: Right-side infective endocarditis (RSIE) is caused by microorganisms and develops into intracardiac and extracardiac complications with high in-hospital and 1-year mortality. Treatments involve antibiotic and surgical intervention. However, those presenting with extremes e.g. heart failure, or septic shock who are not ideal candidates for conventional medical therapy might benefit from minimally invasive procedures. OBJECTIVE: This review summarizes existing observational studies that reported minimally invasive procedures to debulk vegetation due to infective endocarditis either on valve or cardiac implantable electronic devices. METHODS: A targeted literature review was conducted to identify studies published in PubMed/MEDLINE, EMBASE, and Cochrane Central Database from January 1, 2015 to June 5, 2023. The efficacy and/or effectiveness of minimally invasive procedural interventions to debulk vegetation due to RSIE were summarized following PRISMA guidelines. RESULTS: A total of 11 studies with 208 RSIE patients were included. There were 9 studies that assessed the effectiveness of the AngioVac system and 2 assessed the Penumbra system. Overall procedure success rate was 87.9%. Among 8 studies that reported index hospitalization, 4 studies reported no death, while the other 4 studies reported 10 deaths. CONCLUSIONS: This study demonstrates that multiple systems can provide minimally invasive procedure options for patients with RSIE with high procedural success. However, there are mixed results regarding complications and mortality rates. Further large cohort studies or randomized clinical trials are warranted to assess and/or compare the efficacy and safety of these systems.

Three reasons why parental burnout is more prevalent in individualistic countries: a mediation study in 36 countries.

PURPOSE: The prevalence of parental burnout, a condition that has severe consequences for both parents and children, varies dramatically across countries and is highest in Western countries characterized by high individualism. METHOD: In this study, we examined the mediators of the relationship between individualism measured at the country level and parental burnout measured at the individual level in 36 countries (16,059 parents). RESULTS: The results revealed three mediating mechanisms, that is, self-discrepancies between socially prescribed and actual parental selves, high agency and self-directed socialization goals, and low parental task sharing, by which individualism leads to an increased risk of burnout among parents. CONCLUSION: The results confirm that the three mediators under consideration are all involved, and that mediation was higher for self-discrepancies between socially prescribed and actual parental selves, then parental task sharing, and lastly self-directed socialization goals. The results provide some important indications of how to prevent parental burnout at the societal level in Western countries.

Development of a prediction model of postpartum hospital use using an equity-focused approach.

BACKGROUND: Racial inequities in maternal morbidity and mortality persist into the postpartum period, leading to a higher rate of postpartum hospital use among Black and Hispanic people. Delivery hospitalizations provide an opportunity to screen and identify people at high risk to prevent adverse postpartum outcomes. Current models do not adequately incorporate social and structural determinants of health, and some include race, which may result in biased risk stratification. OBJECTIVE: This study aimed to develop a risk prediction model of postpartum hospital use while incorporating social and structural determinants of health and using an equity approach. STUDY DESIGN: We conducted a retrospective cohort study using 2016-2018 linked birth certificate and hospital discharge data for live-born infants in New York City. We included deliveries from 2016 to 2017 in model development, randomly assigning 70%/30% of deliveries as training/test data. We used deliveries in 2018 for temporal model validation. We defined "Composite postpartum hospital use" as at least 1 readmission or emergency department visit within 30 days of the delivery discharge. We categorized diagnosis at first hospital use into 14 categories based on International Classification of Diseases-Tenth Revision diagnosis codes. We tested 72 candidate variables, including social determinants of health, demographics, comorbidities, obstetrical complications, and severe maternal morbidity. Structural determinants of health were the Index of Concentration at the Extremes, which is an indicator of racial-economic segregation at the zip code level, and publicly available indices of the neighborhood built/natural and social/economic environment of the Child Opportunity Index. We used 4 statistical and machine learning algorithms to predict "Composite postpartum hospital use", and an ensemble approach to predict "Cause-specific postpartum hospital use". We simulated the impact of each risk stratification method paired with an effective intervention on race-ethnic equity in postpartum hospital use. RESULTS: The overall incidence of postpartum hospital use was 5.7%; the incidences among Black, Hispanic, and White people were 8.8%, 7.4%, and 3.3%, respectively. The most common diagnoses for hospital use were general perinatal complications (17.5%), hypertension/eclampsia (12.0%), nongynecologic infections (10.7%), and wound infections (8.4%). Logistic regression with least absolute shrinkage and selection operator selection retained 22 predictor variables and achieved an area under the receiver operating curve of 0.69 in the training, 0.69 in test, and 0.69 in validation data. Other machine learning algorithms performed similarly. Selected social and structural determinants of health features included the Index of Concentration at the Extremes, insurance payor, depressive symptoms, and trimester entering prenatal care. The "Cause-specific postpartum hospital use" model selected 6 of the 14 outcome diagnoses (acute cardiovascular disease, gastrointestinal disease, hypertension/eclampsia, psychiatric disease, sepsis, and wound infection), achieving an area under the receiver operating curve of 0.75 in training, 0.77 in test, and 0.75 in validation data using a cross-validation approach. Models had slightly lower performance in Black and Hispanic subgroups. When simulating use of the risk stratification models with a postpartum intervention, identifying high-risk individuals with the "Composite postpartum hospital use" model resulted in the greatest reduction in racial-ethnic disparities in postpartum hospital use, compared with the "Cause-specific postpartum hospital use" model or a standard approach to identifying high-risk individuals with common pregnancy complications. CONCLUSION: The "Composite postpartum hospital use" prediction model incorporating social and structural determinants of health can be used at delivery discharge to identify persons at risk for postpartum hospital use.

Association of hospital volume with postoperative outcomes in Crohn's disease.

AIM: Most patients diagnosed with Crohn's disease (CD) require surgery during their lifetime. While the literature has shown that certain cancer patients have superior postoperative outcomes at high-volume hospitals, there remains a paucity of data on the hospital volume-outcome relationship in CD. Given the complexities in both medical and surgical management, this study aims to determine whether patients with CD have superior postoperative outcomes at high-volume hospitals. METHOD: A retrospective analysis of patients undergoing abdominal surgery for CD in New York hospitals between 2012 and 2018 was performed using data from the Statewide Planning and Research Cooperation System. Outcomes included postoperative mortality, 30-day readmission and postoperative complications. Using a penalized B-spline plot, high-volume centres were defined as those performing more than 160 abdominal surgeries for CD each year. RESULTS: A total of 13,221 surgeries were performed across 176 hospital centres in New York State. Of these, 73.9% of procedures occurred at low-volume centres. High-volume hospitals had lower in-hospital mortality (0.5% vs. 1.5%; p < 0.001) and 30-day readmission rates (8.3% vs. 10.4%; p < 0.001) than low-volume centres. Major postoperative complications and reoperation rates did not differ by hospital volume. On multivariate analysis, patients at high-volume hospitals had lower odds of in-hospital mortality (OR 0.54, 95% CI 0.38-0.75) and 30-day readmission (OR 0.79, 95%CI 0.64-0.98). Hospital volume remained an independent predictor of 30-day readmission for emergent admissions (OR 0.72, 95% CI 0.61-0.85) and in-hospital mortality for nonemergent admissions (OR 0.39, 95% CI 0.19-0.82). CONCLUSION: Patients undergoing abdominal surgery for CD have lower odds of postoperative mortality and 30-day readmission when the operation occurs at a high-volume hospital. These findings suggest that surgical patients with CD may benefit from care at specialized centres.

The association between famotidine and in-hospital mortality of patients with COVID-19.

Famotidine has been considered to be a potential treatment for COVID-19 but the current data is conflicting. This retrospective study was conducted by utilizing data of 9565 COVID-19 hospitalized patients. Patients treated with and without famotidine were matched by propensity score using a 1:1 matching scheme. A total of 1593 patients (16.7%) received famotidine. In-hospital mortality was similar in patients treated with and without famotidine in the propensity-matched cohorts (28.3% vs. 28.2%, p = 0.97), which remains similar irrespective of severity or concomitant treatment by steroids. Famotidine treatment was not associated with a lower risk of in-hospital mortality of COVID-19 patients.

Prediction of in-hospital mortality with machine learning for COVID-19 patients treated with steroid and remdesivir.

We aimed to create the prediction model of in-hospital mortality using machine learning methods for patients with coronavirus disease 2019 (COVID-19) treated with steroid and remdesivir. We reviewed 1571 hospitalized patients with laboratory confirmed COVID-19 from the Mount Sinai Health System treated with both steroids and remdesivir. The important variables associated with in-hospital mortality were identified using LASSO (least absolute shrinkage and selection operator) and SHAP (SHapley Additive exPlanations) through the light gradient boosting model (GBM). The data before February 17th, 2021 (N = 769) was randomly split into training and testing datasets; 80% versus 20%, respectively. Light GBM models were created with train data and area under the curves (AUCs) were calculated. Additionally, we calculated AUC with the data between February 17th, 2021 and March 30th, 2021 (N = 802). Of the 1571 patients admitted due to COVID-19, 331 (21.1%) died during hospitalization. Through LASSO and SHAP, we selected six important variables; age, hypertension, oxygen saturation, blood urea nitrogen, intensive care unit admission, and endotracheal intubation. AUCs using training and testing datasets derived from the data before February 17th, 2021 were 0.871/0.911. Additionally, the light GBM model has high predictability for the latest data (AUC: 0.881) (https://risk-model.herokuapp.com/covid). A high-value prediction model was created to estimate in-hospital mortality for COVID-19 patients treated with steroid and remdesivir.

Measuring severe neonatal morbidity using hospital discharge data in France.

BACKGROUND: Measuring infant health at birth is key for surveillance and research in obstetrics and neonatology, but there is no international consensus on morbidity indicators. The Neonatal Adverse Outcome Indicator (NAOI) is a composite indicator, developed in Australia, which measures the burden of severe neonatal morbidity using hospital discharge data. OBJECTIVE: To evaluate the applicability of the NAOI in France for surveillance and research. METHODS: We constituted a cohort of live births ≥24 weeks' gestational age in Metropolitan France from 2014 to 2015 using hospital discharge, insurance claims and cause of death data. Outlier hospitals were identified using funnel plots of standardised morbidity ratios (SMR), and their coding patterns were assessed. We compared the NAOI and its component codes with published Australian and English data and estimated unadjusted and adjusted risk ratios for known risk factors for neonatal morbidity. RESULTS: We included 1,459,123 births (511 hospitals). Twenty-eight hospitals had SMR above funnel plot control limits. Newborns with NAOI morbidities in these hospitals had lower mortality and shorter stays than in other hospitals. Amongst within-limit hospitals, NAOI prevalence was 4.8%, comparable to Australia (4.6%) and England (5.4%). Most individual components had a similar prevalence, with the exception of respiratory support, intravenous fluid procedures and infection. NAOI was lowest at 39 weeks (2.2%) with higher risks for maternal age ≥40 (relative risk [RR] 1.47, 95% confidence interval [CI] 1.42, 1.51), state medical insurance (RR 1.60, 95% CI 1.52, 1.68), male sex (RR 1.21, 95% CI 1.19, 1.23) and birthweight <3rd percentile (RR 4.60, 95% CI 4.51, 4.69). CONCLUSIONS: The NAOI provides valuable information on population prevalence of severe neonatal morbidity and its risk factors. Whilst the prevalence was similar in high-income countries with comparable neonatal mortality levels, ensuring valid comparisons between countries and hospitals will require further work to harmonize coding procedures, especially for infection and respiratory morbidity.

Prophylactic versus therapeutic anticoagulation for survival of patients with COVID-19 on steroid.

Previous observational and randomized studies suggested potential benefit of therapeutic anticoagulation during hospitalization, but this treatment remains controversial. As of June 30th 2021, steroids is the standard treatment of COVID patients. We aimed to investigate the association of prophylactic and therapeutic anticoagulation with mortality for patients with COVID-19 who were treated with steroids. We retrospectively reviewed the medical records of 2533 patients discharged between March 1st, 2020 and March 30th, 2021, with laboratory-confirmed COVID-19 in the Mount Sinai Health System and treated with steroids. We evaluated the effect of therapeutic versus prophylactic anticoagulation on the outcomes using propensity score analyses. Subgroup analyses were conducted by stratification of patients by endotracheal intubation. Among the 2533 eligible patients, 465 (18.4%) received therapeutic anticoagulation. After 1:1 propensity score matching (N = 383 pairs), in-hospital mortality was similar between those with therapeutic versus prophylactic anticoagulation (36.0% versus 30.0%, P = 0.091). In-hospital mortality regardless of endotracheal intubation were not significantly different between the two groups. Therapeutic anticoagulation was not associated with reduced or increased risk of in-hospital mortality in patients with COVID-19 treated with steroids.

U shape association of hemoglobin level with in-hospital mortality for COVID-19 patients.

Our hypothesis was that high hemoglobin (Hb) level might be associated with hypercoagulable state and death due to COVID-19. Of the 9467 hospitalized COVID-19 patients, patients were subdivided into 5 groups based on the level of Hb; Hb < 10 g/dL, 10 g/dL ≤ Hb < 12 g/dL, 12 g/dL ≤ Hb < 14 g/dL, 14 g/dL ≤ Hb < 16 g/dL, and Hb ≥ 16 g/dL. Compared to patients with 12 g/dL ≤ Hb < 14 g/dL, patients with Hb ≥ 16 g/dL had significantly higher adjusted in-hospital mortality (OR [95% CI] 1.62 [1.15-2.27], P = 0.005).

Hospital factor and prognosis of COVID-19 in New York City, the United States of America: insights from a retrospective cohort study.

BACKGROUND: April 22nd, 2020, New York City (NYC) was the epicenter of the pandemic of Coronavirus disease 2019 (COVID-19) in the US with differences of death rates among its 5 boroughs. We aimed to investigate the difference in mortality associated with hospital factors (teaching versus community hospital) in NYC. DESIGN: Retrospective cohort study. METHODS: We obtained medical records of 6509 hospitalized patients with laboratory confirmed COVID-19 from the Mount Sinai Health System including 4 teaching hospitals in Manhattan and 2 community hospitals located outside of Manhattan (Queens and Brooklyn) retrospectively. Propensity score analysis using inverse probability of treatment weighting (IPTW) with stabilized weights was performed to adjust for differences in the baseline characteristics of patients initially presenting to teaching or community hospitals, and those who were transferred from community hospitals to teaching hospitals. RESULTS: Among 6509 patients, 4653 (72.6%) were admitted in teaching hospitals, 1462 (22.8%) were admitted in community hospitals, and 293 (4.6%) were originally admitted in community and then transferred into teaching hospitals. Patients in community hospitals had higher mortality (42.5%) than those in teaching hospitals (17.6%) or those transferred from community to teaching hospitals (23.5%, P < 0.001). After IPTW-adjustment, when compared to patients cared for at teaching hospitals, the hazard ratio (HR) and 95% confidence interval (CI) of mortality were as follows: community hospitals 2.47 (2.03-2.99); transfers 0.80 (0.58-1.09)). CONCLUSIONS: Patients admitted to community hospitals had higher mortality than those admitted to teaching hospitals.

Sex differences in outcomes after coronary artery bypass grafting: a pooled analysis of individual patient data.

AIMS: Data suggest that women have worse outcomes than men after coronary artery bypass grafting (CABG), but results have been inconsistent across studies. Due to the large differences in baseline characteristics between sexes, suboptimal risk adjustment due to low-quality data may be the reason for the observed differences. To overcome this limitation, we undertook a systematic review and pooled analysis of high-quality individual patient data from large CABG trials to compare the adjusted outcomes of women and men. METHODS AND RESULTS: The primary outcome was a composite of all-cause mortality, myocardial infarction (MI), stroke, and repeat revascularization (major adverse cardiac and cerebrovascular events, MACCE). The secondary outcome was all-cause mortality. Multivariable mixed-effect Cox regression was used. Four trials involving 13 193 patients (10 479 males; 2714 females) were included. Over 5 years of follow-up, women had a significantly higher risk of MACCE [adjusted hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.04-1.21; P = 0.004] but similar mortality (adjusted HR 1.03, 95% CI 0.94-1.14; P = 0.51) compared to men. Women had higher incidence of MI (adjusted HR 1.30, 95% CI 1.11-1.52) and repeat revascularization (adjusted HR 1.22, 95% CI 1.04-1.43) but not stroke (adjusted HR 1.17, 95% CI 0.90-1.52). The difference in MACCE between sexes was not significant in patients 75 years and older. The use of off-pump surgery and multiple arterial grafting did not modify the difference between sexes. CONCLUSIONS: Women have worse outcomes than men in the first 5 years after CABG. This difference is not significant in patients aged over 75 years and is not affected by the surgical technique.

Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities.

Diffusion MRI has provided the neuroimaging community with a powerful tool to acquire in-vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude smaller than typical voxel sizes. The key to extracting such valuable information lies in complex modelling techniques, which form the link between the rich diffusion MRI data and various metrics related to the microstructural organization. Over time, increasingly advanced techniques have been developed, up to the point where some diffusion MRI models can now provide access to properties specific to individual fibre populations in each voxel in the presence of multiple "crossing" fibre pathways. While highly valuable, such fibre-specific information poses unique challenges for typical image processing pipelines and statistical analysis. In this work, we review the "Fixel-Based Analysis" (FBA) framework, which implements bespoke solutions to this end. It has recently seen a stark increase in adoption for studies of both typical (healthy) populations as well as a wide range of clinical populations. We describe the main concepts related to Fixel-Based Analyses, as well as the methods and specific steps involved in a state-of-the-art FBA pipeline, with a focus on providing researchers with practical advice on how to interpret results. We also include an overview of the scope of all current FBA studies, categorized across a broad range of neuro-scientific domains, listing key design choices and summarizing their main results and conclusions. Finally, we critically discuss several aspects and challenges involved with the FBA framework, and outline some directions and future opportunities.

The association of remdesivir and in-hospital outcomes for COVID-19 patients treated with steroids.

BACKGROUND: Remdesivir has been shown to decrease SARS-CoV-2 viral loads and the duration of COVID-19 symptoms. However, current evidence regarding the association between remdesivir and in-hospital mortality for patients with COVID-19 steroid treatments is limited. We aimed to investigate whether remdesivir reduces in-hospital mortality among patients with COVID-19 treated with steroids. METHODS: In this retrospective multicentre study, we reviewed the medical records of 3372 patients discharged between 1 March 2020 and 30 March 2021, with laboratory confirmed COVID-19 in the Mount Sinai Health System and treated with steroids. We evaluated the effect of remdesivir on the outcomes using propensity score analyses. Subgroup analyses were conducted by stratification of patients by endotracheal intubation and COVID-19 antibody status. Acute kidney injury (AKI) was defined as an absolute serum creatinine increase of 0.3 mg/dL or a relative increase of 50%. RESULTS: Of the 3372 eligible patients, 1336 (39.6%) received remdesivir. After 1:1 propensity score matching (N = 999 pairs), in-hospital mortality was similar between those with and without remdesivir (21.4% versus 21.6%, respectively, P = 0.96). Remdesivir was not significantly associated with in-hospital mortality regardless of endotracheal intubation or COVID-19 antibody status. However, there was a signal that remdesivir was associated with a reduced risk of AKI in the propensity matched analysis (17.5% versus 23.4%, respectively, P = 0.001). CONCLUSIONS: Remdesivir was not associated with reduced risk of in-hospital mortality in patients with COVID-19 treated with steroids but potentially associated with decreased risk of AKI. These findings should be confirmed in prospective studies focusing on COVID-19 patients treated with steroids.

Racial and Economic Neighborhood Segregation, Site of Delivery, and Morbidity and Mortality in Neonates Born Very Preterm.

OBJECTIVE: To assess the influence of racial and economic residential segregation of home or hospital neighborhood on very preterm birth morbidity and mortality in neonates born very preterm. STUDY DESIGN: We constructed a retrospective cohort of n = 6461 infants born <32 weeks using 2010-2014 New York City vital statistics-hospital data. We calculated racial and economic Index of Concentration at the Extremes for home and hospital neighborhoods. Neonatal mortality and morbidity was defined as death and/or severe neonatal morbidity. We estimated relative risks for Index of Concentration at the Extremes measures and neonatal mortality and morbidity using log binomial regression and the risk-adjusted contribution of delivery hospital using Fairlie decomposition. RESULTS: Infants whose mothers live in neighborhoods with the greatest relative concentration of Black residents had a 1.6 times greater risk of neonatal mortality and morbidity than those with the greatest relative concentration of White residents (95% CI 1.2-2.1). Delivery hospital explained more than one-half of neighborhood differences. Infants with both home and hospital in high-concentration Black neighborhoods had a 38% adjusted risk of neonatal mortality and morbidity compared with 25% of those with both home and hospital high-concentration White neighborhoods (P = .045). CONCLUSIONS: Structural racism influences very preterm birth neonatal mortality and morbidity through both the home and hospital neighborhood. Quality improvement interventions should incorporate a framework that includes neighborhood context.

The association of COVID-19 antibody with in-hospital outcomes in COVID-19 infected patients.

We aimed to investigate whether hospitalizations of patients who tested positive for coronavirus disease 2019 (COVID-19) antibodies are associated with reduced in-hospital mortality. Of the 2459 patients admitted due to COVID-19 and tested for antibodies, 937 (38.1%) had positive tests. After adjustment for patient characteristics and treatments, patients with positive COVID-19 antibody test had lower in-hospital mortality compared with those with negative test results (odds ratio [OR]: 0.62; 95% confidential interval [95% CI] 0.46-0.83, p = 0.001). In conclusion, positive COVID-19 antibody test results were associated with the reduced risk of in-hospital mortality for COVID-19 patients.

Substance Use Disorders and Diabetes Care: Lessons From New York Health Homes.

BACKGROUND: Individuals that have both diabetes and substance use disorder (SUD) are more likely to have adverse health outcomes and are less likely to receive high quality diabetes care, compared with patients without coexisting SUD. Care management programs for patients with chronic diseases, such as diabetes and SUD, have been associated with improvements in the process and outcomes of care. OBJECTIVE: The aim was to assess the impact of having coexisting SUD on diabetes process of care metrics. RESEARCH DESIGN: Preintervention/postintervention triple difference analysis. SUBJECTS: Participants in the New York State Medicaid Health Home (NYS-HH) care management program who have diabetes and a propensity-matched comparison group of nonparticipants (N=37,260). MEASURES: Process of care metrics for patients with diabetes: an eye (retinal) exam, HbA1c test, medical attention (screening laboratory measurements) for nephropathy, and receiving all 3 in the past year. RESULTS: Before enrollment in NYS-HH, individuals with comorbid SUD had fewer claims for eye exams and HbA1c tests compared with those without comorbid SUD. Diabetes process of care improvements associated with NYS-HH enrollment were larger among those with comorbid SUD [eye exam: adjusted odds ratio (AOR)=1.08; 95% confidence interval (CI): 1.01-1.15]; HbA1c test: AOR=1.20 (95% CI: 1.11-1.29); medical attention for nephropathy: AOR=1.21 (95% CI: 1.12-1.31); all 3: AOR=1.09 (95% CI: 1.02-1.16). CONCLUSIONS: Individuals with both diabetes and SUD may benefit moderately more from care management than those without comorbid SUD. Individuals with both SUD and diabetes who are not enrolled in care management may be missing out on crucial diabetes care.

The characteristics and outcomes of critically Ill patients with COVID-19 who received systemic thrombolysis for presumed pulmonary embolism: an observational study.

Coronavirus disease 2019 (COVID-19) is associated with abnormal hemostasis, autopsy evidence of systemic microthrombosis, and a high prevalence of venous thromboembolic disease. Tissue plasminogen activator (tPA) has been used in patients with critically ill COVID-19 with high clinical suspicion of pulmonary embolism (PE). A retrospective cohort study of 6095 hospitalized COVID-19 patients at 5 acute care hospitals in New York was conducted. 57 patients received tPA for presumed PE during March 10th to April 27th. The mean age was 60.8 ± 10.8 years, and 71.9% (41/57) were male. We defined strongly suspected PE among 75.4% (43/57) of patients who had acute worsening of hypoxia and acute hypotension requiring pressors. The findings suggestive of PE included right ventricular (RV) strain in 15.8% (9/57), deep venous thrombosis (DVT) in 7.0% (4/57), increased dead space ventilation (Vd) in 31.6% (18/57) of patients, respectively. RV strain and RV thrombus were present in 3.5% (2/57), RV strain and DVT in 5.3% (3/57), RV strain and increased Vd in 8.8% (5/57), and DVT and increased Vd in 3.5% (2/57) of patients. Chest CT Angiography was not performed in any of the patients. Following tPA infusion, 49.1% (28/57) of patients demonstrated improvement. Six patients (10.5%) survived to discharge, of whom 2 received extracorporeal membrane oxygenation and were transferred to other facilities for lung transplant, 2 were discharged home, and 2 were discharged to a rehabilitation facility. However, overall mortality was 89.5%. The utility of tPA for critically ill patients with COVID-19 and presumed PE warrants further studies.

Dynamic Regional Brain Atrophy Rates in the First Year After Ischemic Stroke.

BACKGROUND AND PURPOSE: Brain atrophy can be regarded as an end-organ effect of cumulative cardiovascular risk factors. Accelerated brain atrophy is described following ischemic stroke, but it is not known whether atrophy rates vary over the poststroke period. Examining rates of brain atrophy allows the identification of potential therapeutic windows for interventions to prevent poststroke brain atrophy. METHODS: We charted total and regional brain volume and cortical thickness trajectories, comparing atrophy rates over 2 time periods in the first year after ischemic stroke: within 3 months (early period) and between 3 and 12 months (later period). Patients with first-ever or recurrent ischemic stroke were recruited from 3 Melbourne hospitals at 1 of 2 poststroke time points: within 6 weeks (baseline) or 3 months. Whole-brain 3T magnetic resonance imaging was performed at 3 time points: baseline, 3 months, and 12 months. Eighty-six stroke participants completed testing at baseline; 125 at 3 months (76 baseline follow-up plus 49 delayed recruitment); and 113 participants at 12 months. Their data were compared with 40 healthy control participants with identical testing. We examined 5 brain measures: hippocampal volume, thalamic volume, total brain and hemispheric brain volume, and cortical thickness. We tested whether brain atrophy rates differed between time points and groups. A linear mixed-effect model was used to compare brain structural changes, including age, sex, years of education, a composite cerebrovascular risk factor score, and total intracranial volume as covariates. RESULTS: Atrophy rates were greater in stroke than control participants. Ipsilesional hemispheric, hippocampal, and thalamic atrophy rates were 2 to 4 times greater in the early versus later period. CONCLUSIONS: Regional atrophy rates vary over the first year after stroke. Rapid brain volume loss in the first 3 months after stroke may represent a potential window for intervention. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02205424.

Pervasive White Matter Fiber Degeneration in Ischemic Stroke.

Background and Purpose- We examined if ischemic stroke is associated with white matter degeneration predominantly confined to the ipsi-lesional tracts or with widespread bilateral axonal loss independent of lesion laterality. Methods- We applied a novel fixel-based analysis, sensitive to fiber tract-specific differences within a voxel, to assess axonal loss in stroke (N=104, 32 women) compared to control participants (N=40, 15 women) across the whole brain. We studied microstructural differences in fiber density and macrostructural (morphological) changes in fiber cross-section. Results- In participants with stroke, we observed significantly lower fiber density and cross-section in areas adjacent, or connected, to the lesions (eg, ipsi-lesional corticospinal tract). In addition, the changes extended beyond directly connected tracts, independent of the lesion laterality (eg, corpus callosum, bilateral inferior fronto-occipital fasciculus, right superior longitudinal fasciculus). Conclusions- We conclude that ischemic stroke is associated with extensive neurodegeneration that significantly affects white matter integrity across the whole brain. These findings expand our understanding of the mechanisms of brain volume loss and delayed cognitive decline in stroke.