Stability of navigation in catheter-based endovascular procedures.

Endovascular procedures provide surgeons and other interventionalists with minimally invasive methods to treat vascular diseases by passing guidewires, catheters, sheaths and treatment devices into the vasculature to and navigate toward a treatment site. The efficiency of this navigation affects patient outcomes, but is frequently compromised by catheter "herniation", in which the catheter-guidewire system bulges out from the intended endovascular pathway so that the interventionalist can no longer advance it. Here, we showed herniation to be a bifurcation phenomenon that can be predicted and controlled using mechanical characterizations of catheter-guidewire systems and patientspecific clinical imaging. We demonstrated our approach in laboratory models and, retrospectively, in patients who underwent procedures involving transradial neurovascular procedures with an endovascular pathway from the wrist, up in the arm, around the aortic arch, and into the neurovasculature. Our analyses identified a mathematical navigation stability criterion that predicted herniation in all of these settings. Results show that herniation can be predicted through bifurcation analysis, and provide a framework for selecting catheter-guidewire systems to avoid herniation in specific patient anatomy.

Risk Factors for Postdischarge Major Thromboembolism and Mortality in Hospitalized Patients with COVID-19 with Cardiovascular Comorbidities: Insights from the CORE-19 Registry.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is associated with venous and arterial thromboembolism (VTE and ATE) and all-cause mortality (ACM) in hospitalized patients. High-quality data are needed on postdischarge outcomes in patients with cardiovascular disease. OBJECTIVES: To analyze outcomes and identify risk factors for ATE, VTE, and ACM in a high-risk subgroup of hospitalized COVID-19 patients with baseline cardiovascular disease. METHODS: We investigated postdischarge rates and associated risk factors of ATE, VTE, and ACM in 608 hospitalized COVID-19 patients with coronary artery disease, carotid artery stenosis (CAS), peripheral arterial disease (PAD), or ischemic stroke. RESULTS: Through 90 days postdischarge, outcome rates were: ATE 27.3% (10.2% myocardial infarction, 10.1% ischemic stroke, 13.2% systemic embolism, 12.7% major adverse limb event); VTE 6.9% (4.1% deep vein thrombosis, 3.6% pulmonary embolism); composite of ATE, VTE, or ACM 35.2% (214/608). Multivariate analysis showed significant association between this composite endpoint and age >75 years (odds ratio [OR]: 1.90, 95% confidence interval [CI]: 1.22-2.94, p = 0.004), PAD (OR: 3.23, 95% CI: 1.80-5.81, p ≤ 0.0001), CAS (OR: 1.74, 95% CI: 1.11-2.75, p = 0.017), congestive heart failure (CHF) (OR: 1.84, 95% CI: 1.02-3.35, p = 0.044), previous VTE (OR: 3.08, 95% CI: 1.75-5.42, p < 0.0001), and intensive care unit (ICU) admission (OR: 2.93, 95% CI: 1.81-4.75, p < 0.0001). CONCLUSION: COVID-19 inpatients with cardiovascular disease experience high rates of ATE, VTE, or ACM through 90 days postdischarge. Age >75 years, PAD, CAS, CHF, previous VTE, and ICU admission are independent risk factors.

Cannabis Use and Its Association With Thirty- and Ninety-Day Hospital Readmissions for Patients Admitted for an Inflammatory Bowel Disease Exacerbation.

Background: Though viewed as a potentially safer palliative alternative to opioids, studies of cannabis use for inflammatory bowel disease (IBD) are limited. The impact of opioids on hospital readmissions for IBD has been extensively examined, but cannabis has not been similarly studied. Our goal was to examine the relationship between cannabis use and the risk of 30- and 90-day hospital readmissions. Methods: We conducted a review of all adults admitted for an IBD exacerbation from January 1, 2016 to March 1, 2020 within the Northwell Health Care system. Patients with an IBD exacerbation were identified by primary or secondary ICD10 code (K50.xx or K51.xx) and administration of intravenous (IV) solumedrol and/or biologic therapy. Admission documents were reviewed for the terms "marijuana", "cannabis", "pot" and "CBD". Results: A total of 1,021 patient admissions met inclusion criteria, of whom 484 (47.40%) had Crohn's disease (CD) and 542 (53.09%) were female. Pre-admission cannabis use was reported by 74 (7.25%) patients. Factors found to be associated with cannabis use included younger age, male gender, African American/Black race, current tobacco and former alcohol use, anxiety, and depression. Cannabis use was found to be associated with 30-day readmission among patients with ulcerative colitis (UC), but not among patients with CD, after respectively adjusting each final model by other factors (odds ratio (OR): 2.48, 95% confidence interval (CI): 1.06 - 5.79 and OR: 0.59, 95% CI: 0.22 - 1.62, respectively). Cannabis use was not found to be associated with 90-day readmission on univariable analysis (OR: 1.11, 95% CI: 0.65 - 1.87) nor in the final multivariable model after adjusting for other factors (OR: 1.19, 95% CI: 0.68 - 2.05). Conclusion: Pre-admission cannabis use was found to be associated with 30-day readmission among patients with UC, but not with 30-day readmission for patients with CD nor with 90-day readmission, following an IBD exacerbation.

Nudging Health Care Providers' Adoption of Clinical Decision Support: Protocol for the User-Centered Development of a Behavioral Economics-Inspired Electronic Health Record Tool.

BACKGROUND: The improvements in care resulting from clinical decision support (CDS) have been significantly limited by consistently low health care provider adoption. Health care provider attitudes toward CDS, specifically psychological and behavioral barriers, are not typically addressed during any stage of CDS development, although they represent an important barrier to adoption. Emerging evidence has shown the surprising power of using insights from the field of behavioral economics to address psychological and behavioral barriers. Nudges are formal applications of behavioral economics, defined as positive reinforcement and indirect suggestions that have a nonforced effect on decision-making. OBJECTIVE: Our goal is to employ a user-centered design process to develop a CDS tool-the pulmonary embolism (PE) risk calculator-for PE risk stratification in the emergency department that incorporates a behavior theory-informed nudge to address identified behavioral barriers to use. METHODS: All study activities took place at a large academic health system in the New York City metropolitan area. Our study used a user-centered and behavior theory-based approach to achieve the following two aims: (1) use mixed methods to identify health care provider barriers to the use of an active CDS tool for PE risk stratification and (2) develop a new CDS tool-the PE risk calculator-that addresses behavioral barriers to health care providers' adoption of CDS by incorporating nudges into the user interface. These aims were guided by the revised Observational Research Behavioral Information Technology model. A total of 50 clinicians who used the original version of the tool were surveyed with a quantitative instrument that we developed based on a behavior theory framework-the Capability-Opportunity-Motivation-Behavior framework. A semistructured interview guide was developed based on the survey responses. Inductive methods were used to analyze interview session notes and audio recordings from 12 interviews. Revised versions of the tool were developed that incorporated nudges. RESULTS: Functional prototypes were developed by using Axure PRO (Axure Software Solutions) software and usability tested with end users in an iterative agile process (n=10). The tool was redesigned to address 4 identified major barriers to tool use; we included 2 nudges and a default. The 6-month pilot trial for the tool was launched on October 1, 2021. CONCLUSIONS: Clinicians highlighted several important psychological and behavioral barriers to CDS use. Addressing these barriers, along with conducting traditional usability testing, facilitated the development of a tool with greater potential to transform clinical care. The tool will be tested in a prospective pilot trial. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42653.

Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning.

Acute Respiratory Distress Syndrome (ARDS) is associated with high morbidity and mortality. Identification of ARDS enables lung protective strategies, quality improvement interventions, and clinical trial enrolment, but remains challenging particularly in the first 24 hours of mechanical ventilation. To address this we built an algorithm capable of discriminating ARDS from other similarly presenting disorders immediately following mechanical ventilation. Specifically, a clinical team examined medical records from 1263 ICU-admitted, mechanically ventilated patients, retrospectively assigning each patient a diagnosis of "ARDS" or "non-ARDS" (e.g., pulmonary edema). Exploiting data readily available in the clinical setting, including patient demographics, laboratory test results from before the initiation of mechanical ventilation, and features extracted by natural language processing of radiology reports, we applied an iterative pre-processing and machine learning framework. The resulting model successfully discriminated ARDS from non-ARDS causes of respiratory failure (AUC = 0.85) among patients meeting Berlin criteria for severe hypoxia. This analysis also highlighted novel patient variables that were informative for identifying ARDS in ICU settings.

Obtaining the Best Possible Medication History at Hospital Admission: Description of a Pharmacy Technician-Driven Program to Identify Medication Discrepancies.

PURPOSE: Describe the process of obtaining the best possible medication history (BPMH) by Certified Pharmacy Technicians (CPhTs) on hospital admission to identify medication discrepancies. METHODS: Cross-sectional, descriptive study conducted between December 2016 and June 2017 at a quaternary center in New York, including all patients 18 years and older admitted to the medicine service through the Emergency Department (ED) and seen by a CPhT. CPhTs obtained the BPMH using a systematic approach involving a standardized interview, checking medications with secondary sources and updating the electronic health record (EHR). Medication discrepancies were identified and categorized by type and risk. Summary statistics were provided as average and standard deviation (SD) for continuous variables, and as frequencies and percentages for categorical variables. Multivariable regression was used to test for associations between patient factors and presence of a medication discrepancy. RESULTS: Of the 3,087 patient visits, the average age was 69 (SD 17.8), 54% were female (n = 1652) and 65% white (n = 2017); comorbidity score breakdown was: 0 (25%, n = 757), 1-2 (33%, n = 1023), 3-4 (23%, n = 699), > 4 (20%, n = 608). The average number of home and discharge medications were 10 (SD 6.1) and 10 (SD 5.4), respectively. The average time spent obtaining the BPMH was 30.6 minutes (SD 12.9). 69% of patients (n = 2130) had at least 1 discrepancy with an average of 4.2 (SD 4.6), of which 43% (n = 920) included high-risk medications. Having a medication discrepancy was associated with a higher number of home medications (p < 0.0001) comorbidities (p < 0.0001), and source of information (p < 0.04). CONCLUSION: Obtaining the BPMH by CPhTs on hospital admission frequently identifies medication discrepancies. Further studies are needed to evaluate the association between obtaining the BPMH and clinical outcomes.

Quantification of the flexural rigidity of endovascular surgical devices using three-point bending tests.

Endovascular surgical procedures require the navigation of catheters and wires through the vasculature to reach distal target sites. Quantitative frameworks for device selection hold the potential to improve the tracking of endovascular devices through vascular anatomy by personalizing the device flexural rigidity to an individual's anatomy. However, data are lacking to facilitate this technology, in part because typical endovascular devices have intricate spatial variations in mechanical properties that are challenging and tedious to quantify repeatably. We therefore developed a three-point bend test methodology using a custom rig and applied it to measure lengthwise flexural rigidity profiles of endovascular devices that are used to target the cerebral vasculature. The methodology demonstrated high repeatability and was able to characterize transition zones. We applied the methodology to generate the first comprehensive, quantitative library of device flexural rigidities, spanning guidewires, intermediate guides, and long sheaths. We observed that these three classes of device have properties that fall into distinct ranges. Additional plots examining relationships between flexural rigidity, device diameter, and length revealed application-specific trends in flexural properties. This methodology and the data allow for standardized characterization and comparisons to aid device selection, and have the potential to both enhance surgical planning and inform future innovation.

Hospital practices and clinical outcomes associated with behavioral symptoms in persons with dementia.

BACKGROUND: Hospitalized persons living with dementia (PLWD) often experience behavioral symptoms that challenge medical care. OBJECTIVE: This study aimed to identify clinical practices and outcomes associated with behavioral symptoms in hospitalized PLWD. DESIGN: A retrospective cross-sectional study. SETTINGS AND PARTICIPANTS: The study included PLWD (65+) admitted to one of severe health system hospitals in 2019. INTERVENTION: Behavioral symptoms were defined as the presence of (1) a psychoactive medication for behavioral symptoms; (2) an order for physical restraints or constant observation; and/or (3) physician documentation of delirium, encephalopathy, or behavioral symptoms. MAIN OUTCOME AND MEASURES: Associations between behavioral symptoms and patient characteristics and hospital practices (e.g., bladder catheter) were examined. Multivariable logistic/linear regression was used to evaluate the association between behavioral symptoms and clinical outcomes (e.g., mortality). RESULTS: Of hospitalized PLWD (N = 8637), the average age was 84.5 years (IQR = 79-90), 61.7% were female, 60.1% were white, and 9.4% (n = 833) were Hispanic. Behavioral symptoms were identified in 40.6% (N = 3606) of individuals. Behavioral symptoms were significantly associated with male gender (40.3% vs. 36.9%, p = .001), white race (62.7% vs. 58.3%, p < .001), and residence in a facility prior to admission (26.6% vs. 23.7%, p < .001). Regarding hospital practices, indwelling bladder catheters (11.2% vs. 6.0%, p < .001) and dietary restriction (41.9% vs. 33.8%, p < .001) were associated with behavioral symptoms. In multivariable models, behavioral symptoms were associated with increased hospital mortality (odds ratio [OR]: 1.90, CI95%: 1.57-2.29), length of stay (parameter estimate: 2.10, p < .001), 30-day readmissions (OR: 1.14, CI95%: 1.014-1.289), and decreased discharge home (OR: 0.59, CI95%: 0.53-0.65, p < .001). CONCLUSIONS: Given the association between behavioral symptoms and poor clinical outcomes, there is an urgent need to improve the provision of care for hospitalized PLWD.

Post-COVID-19 Infection With Meticillin-Sensitive Staphylococcus aureus (MSSA) Bacteremia, Discitis/Osteomyelitis, and Diffuse Abscesses: A Case Report.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), has been associated with a plethora of symptoms weeks after the acute infection. While many reports have investigated the novel syndrome of post-acute sequelae of COVID-19, fewer studies have examined post-COVID-19 secondary infections, which may be distinct from typical post-viral bacterial infections due to the multiorgan involvement of COVID-19. This case report aims to highlight a presentation in which a 65-year-old man had COVID-19 and subsequently developed methicillin-sensitive Staphylococcus aureus (MSSA) bacteremia with widespread seeding of secondary infections, including abscesses in the hand and paravertebral regions as well as discitis/osteomyelitis of the cervical spine. Further studies are needed to investigate whether an increased susceptibility to unusual secondary bacterial infections is present in post-COVID-19 patients.

Early DNR in Older Adults Hospitalized with SARS-CoV-2 Infection During Initial Pandemic Surge.

The role of early Do Not Resuscitate (DNR) in hospitalized older adults (OAs) with SARS-CoV-2 infection is unknown. The objective of the study was to identify characteristics and outcomes associated with early DNR in hospitalized OAs with SARS-CoV-2. We conducted a retrospective chart review of older adults (65+) hospitalized with COVID-19 in New York, USA, between March 1, 2020, and April 20, 2020. Patient characteristics and hospital outcomes were collected. Early DNR (within 24 hours of admission) was compared to non-early DNR (late DNR, after 24 hours of admission, or no DNR). Outcomes included hospital morbidity and mortality. Of 4961 patients, early DNR prevalence was 5.7% (n = 283). Compared to non-early DNR, the early DNR group was older (85.0 vs 76.8, P < .001), women (51.2% vs 43.6%, P = .012), with higher comorbidity index (3.88 vs 3.36, P < .001), facility-based (49.1% vs 19.1%, P < .001), with dementia (13.3% vs 4.6%, P < .001), and severely ill on presentation (57.9% vs 32.3%, P < .001). In multivariable analyses, the early DNR group had higher mortality risk (OR: 2.94, 95% CI: 2.10-4.11), less hospital delirium (OR: 0.55, 95% CI: 0.40-.77), lower use of invasive mechanical ventilation (IMV, OR: 0.37, 95% CI: .21-.67), and shorter length of stay (LOS, 4.8 vs 10.3 days, P < .001), compared to non-early DNR. Regarding early vs late DNR, while there was no difference in mortality (OR: 1.12, 95% CI: 0.85-1.62), the early DNR group experienced less delirium (OR: 0.55, 95% CI: .40-.75), IMV (OR: 0.53, 95% CI: 0.29-.96), and shorter LOS (4.82 vs 10.63 days, OR: 0.35, 95% CI: 0.30-.41). In conclusion, early DNR prevalence in hospitalized OAs with COVID-19 was low, and compared to non-early DNR is associated with higher mortality but lower morbidity.

Psychotropic Medication Use Is Associated With Greater 1-Year Incidence of Dementia After COVID-19 Hospitalization.

Background: COVID-19 has been associated with an increased risk of incident dementia (post-COVID dementia). Establishing additional risk markers may help identify at-risk individuals and guide clinical decision-making. Methods: We investigated pre-COVID psychotropic medication use (exposure) and 1-year incidence of dementia (outcome) in 1,755 patients (≥65 years) hospitalized with COVID-19. Logistic regression models were used to examine the association, adjusting for demographic and clinical variables. For further confirmation, we applied the Least Absolute Shrinkage and Selection Operator (LASSO) regression and a machine learning (Random Forest) algorithm. Results: One-year incidence rate of post-COVID dementia was 12.7% (N = 223). Pre-COVID psychotropic medications (OR = 2.7, 95% CI: 1.8-4.0, P < 0.001) and delirium (OR = 3.0, 95% CI: 1.9-4.6, P < 0.001) were significantly associated with greater 1-year incidence of post-COVID dementia. The association between psychotropic medications and incident dementia remained robust when the analysis was restricted to the 423 patients with at least one documented neurological or psychiatric diagnosis at the time of COVID-19 admission (OR = 3.09, 95% CI: 1.5-6.6, P = 0.002). Across different drug classes, antipsychotics (OR = 2.8, 95% CI: 1.7-4.4, P < 0.001) and mood stabilizers/anticonvulsants (OR = 2.4, 95% CI: 1.39-4.02, P = 0.001) displayed the greatest association with post-COVID dementia. The association of psychotropic medication with dementia was further confirmed with Random Forest and LASSO analysis. Conclusion: Confirming prior studies we observed a high dementia incidence in older patients after COVID-19 hospitalization. Pre-COVID psychotropic medications were associated with higher risk of incident dementia. Psychotropic medications may be risk markers that signify neuropsychiatric symptoms during prodromal dementia, and not mutually exclusive, contribute to post-COVID dementia.

A Novel Method to Improve the Identification of Time of Intubation for Retrospective EHR Data Analysis During a Time of Resource Strain, the COVID-19 Pandemic.

Accurate determinations of the time of intubation (TOI) are critical for retrospective electronic health record (EHR) data analyses. In a retrospective study, the authors developed and validated an improved query (Ti) to identify TOI across numerous settings in a large health system, using EHR data, during the COVID-19 pandemic. Further, they evaluated the affect of Ti on peri-intubation patient parameters compared to a previous method-ventilator parameters (Tv). Ti identified an earlier TOI for 84.8% (n = 1666) of cases with a mean (SD) of 3.5 hours (15.5), resulting in alternate values for: partial pressure of arterial oxygen (PaO 2 ) in 18.4% of patients (mean 43.95 mmHg [54.24]); PaO 2 /fractional inspired oxygen (FiO 2 ) in 17.8% of patients (mean 48.29 [69.81]), and oxygen saturation/FiO 2 in 62.7% (mean 16.75 [34.14]), using the absolute difference in mean values within the first 4 hours of intubation. Differences in PaO 2 /FiO 2 using Ti versus Tv resulted in the reclassification of 7.3% of patients into different acute respiratory distress syndrome (ARDS) severity categories.

Electrocardiogram Monitoring Practices for Hospitalized Adults Receiving Antipsychotics: A Retrospective Cohort Study.

OBJECTIVE: Antipsychotics are frequently used for managing both acute and chronic neuropsychiatric disorders. While antipsychotics are known to be associated with increased mortality due to cardiac arrhythmia, there is a lack of consensus on the timing and frequency of electrocardiogram (ECG) monitoring.  The goal of this study was to examine current ECG monitoring practices for adults receiving antipsychotics, specifically during hospital admission. METHODS: The study involved a multisite retrospective chart review of adults admitted across 8 hospitals between January 2010 and December 2015 who received antipsychotics during hospitalization. The primary outcome was the presence of an ECG after receiving an antipsychotic. RESULTS: During the study period, there were 26,353 hospitalizations during which adults received antipsychotic medication; the average age of the patients was 61.4 years, 50.1% were female, and 64.8% were white. The average comorbidity score was 1.4 with a median length of stay of 8.3 days. Of the 26,353 patients who were hospitalized, 60.6% (n=15,977) of patients in the sample had an ECG during their hospitalization, and 41.2% (n=10,865) had the ECG following antipsychotic administration. Patients who received a follow-up ECG had a longer length of stay (median: 11.3 d) compared with those who did not receive a follow-up ECG (median: 7.0 d). Follow-up ECGs were more likely among patients who had a history of heart failure [odds ratio (OR)=1.17, 95% confidence interval (CI): 1.06-1.30, P=0.002], who were receiving multiple antipsychotics (OR=1.3, 95% CI: 1.24-1.36, P<0.001) or other QT-prolonging medications (OR=1.09, 95% CI: 1.07-1.1, P<0.001), who were receiving risperidone (OR=1.12, 95% CI: 1.004-1.25, P=0.04), and who showed an increase in QTc duration (OR per 10 ms increase=1.02, 95% CI: 1.01-1.04, P=0.003). Follow-up ECGs were less likely to be administered to patients who were receiving antipsychotics before admission (OR=0.93, 95% CI: 0.87-0.997, P=0.04). CONCLUSIONS: This study demonstrated that, in a large health system, ECG monitoring is not routinely practiced for hospitalized patients receiving antipsychotics. Further studies are needed to identify patients who would most benefit from ECG monitoring in the acute care setting.

Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset.

BACKGROUND: Understanding heterogeneity seen in patients with COVIDARDS and comparing to non-COVIDARDS may inform tailored treatments. METHODS: A multidisciplinary team of frontline clinicians and data scientists worked to create the Northwell COVIDARDS dataset (NorthCARDS) leveraging over 11,542 COVID-19 hospital admissions. The data was then summarized to examine descriptive differences based on clinically meaningful categories of lung compliance, and to examine trends in oxygenation. FINDINGS: Of the 1536 COVIDARDS patients in the NorthCARDS dataset, there were 531 (34.6%) who had very low lung compliance (< 20 ml/cmH2O), 970 (63.2%) with low-normal compliance (20-50 ml/cmH2O), and 35 (2.2%) with high lung compliance (> 50 ml/cmH2O). The very low compliance group had double the median time to intubation compared to the low-normal group (107.3 h (IQR 25.8, 239.2) vs. 39.5 h (IQR 5.4, 91.6)). Overall, 68.8% (n = 1057) of the patients died during hospitalization. In comparison to non-COVIDARDS reports, there were less patients in the high compliance category (2.2% vs. 12%, compliance ≥ 50 mL/cmH20), and more patients with P/F ≤ 150 (59.8% vs. 45.6%). There is a statistically significant correlation between compliance and P/F ratio. The Oxygenation Index is the highest in the very low compliance group (12.51, SD(6.15)), and lowest in high compliance group (8.78, SD(4.93)). CONCLUSIONS: The respiratory system compliance distribution of COVIDARDS is similar to non-COVIDARDS. In some patients, there may be a relation between time to intubation and duration of high levels of supplemental oxygen treatment on trajectory of lung compliance.

Factors and Outcomes Associated With Dysphagia in Hospitalized Persons With Dementia.

OBJECTIVES: Dysphagia is prevalent in older adults with dementia, particularly in the acute care setting. The objective of this study was to use an innovative approach to extract a more representative sample of patients with dysphagia from the electronic health record (EHR) to determine patient characteristics, hospital practices, and outcomes associated with dysphagia in hospitalized persons with dementia. DESIGN: A retrospective study of hospitalized adults (aged ≥65 years) with dementia was conducted in 7 hospitals across the greater New York metropolitan area. SETTING AND PARTICIPANTS: Data were obtained from the inpatient EHR with the following inclusion criteria: age ≥65 years; admitted to one of 7 health system hospitals between January 1, 2019, and December 31, 2019; and documented past medical diagnosis of dementia (based on International Classification of Diseases, Ninth Revision). METHODS: A diagnosis of dysphagia was defined as nurse documentation of a positive bedside swallow screening, nurse documentation of "difficulty swallowing" as reason for not performing bedside swallow screening, and physician documentation of a dysphagia diagnosis. RESULTS: Of adults with dementia (N = 8637), the average age was 84.5 years, 61.6% were female, and 18.1% were Black and 9.3% Hispanic. Dysphagia was identified in 41.8% (n = 3610). In multivariable models, dysphagia was associated with invasive mechanical ventilation [odds ratio (OR) 4.53, 95% CI 3.55-5.78], delirium (OR 1.53, 95% CI 1.40-1.68), increased length of stay (B = 3.29, 95% CI 2.98-3.60), and mortality (OR 4.44, 95% CI 3.54-5.55). CONCLUSIONS AND IMPLICATIONS: Given its high prevalence, underrecognition, and associated poor outcomes, improving large-scale dysphagia identification can impact clinical care and advance research in hospitalized persons with dementia.

A Geriatrics-Focused Hospitalist Trauma Comanagement Program Improves Quality of Care for Older Adults.

This study aimed to determine whether a geriatrics-focused hospitalist trauma comanagement program improves quality of care. A pre-/post-implementation study compared older adult trauma patients who were comanaged by a hospitalist with those prior to comanagement at a level 1 trauma center. One-to-one propensity score matching was performed based on age, gender, Injury Severity Score, comorbidity index, and critical illness on admission. Outcomes included orders for geriatrics-focused quality indicators, as well as hospital mortality and length of stay. Wilcoxon rank-sum test (continuous variables) and chi-square or Fisher exact test (categorical variables) were used to assess differences. Propensity score matching resulted in 290 matched pairs. The intervention group had decreased use of restraints (P = 0.04) and acetaminophen (P = 0.01), and earlier physical therapy (P = 0.01). Three patients died in the intervention group compared with 14 in the control (P = 0.0068). This study highlights that a geriatrics-focused hospitalist trauma comanagement program improves quality of care.

Patient Factors and Hospital Outcomes Associated With Atypical Presentation in Hospitalized Older Adults With COVID-19 During the First Surge of the Pandemic.

BACKGROUND: Literature indicates an atypical presentation of COVID-19 among older adults (OAs). Our purpose is to identify the frequency of atypical presentation and compare demographic and clinical factors, and short-term outcomes, between typical versus atypical presentations in OAs hospitalized with COVID-19 during the first surge of the pandemic. METHODS: Data from the inpatient electronic health record were extracted for patients aged 65 and older, admitted to our health systems' hospitals with COVID-19 between March 1 and April 20, 2020. Presentation as reported by the OA or his/her representative is documented by the admitting professional and includes both symptoms and signs. Natural language processing was used to code the presence/absence of each symptom or sign. Typical presentation was defined as words indicating fever, cough, or shortness of breath; atypical presentation was defined as words indicating functional decline or altered mental status. RESULTS: Of 4 961 unique OAs, atypical presentation characterized by functional decline or altered mental status was present in 24.9% and 11.3%, respectively. Atypical presentation was associated with older age, female gender, Black race, non-Hispanic ethnicity, higher comorbidity index, and the presence of dementia and diabetes mellitus. Those who presented typically were 1.39 times more likely than those who presented atypically to receive intensive care unit-level care. Hospital outcomes of mortality, length of stay, and 30-day readmission were similar between OAs with typical versus atypical presentations. CONCLUSION: Although atypical presentation in OAs is not associated with the same need for acute intervention as respiratory distress, it must not be dismissed.

Geriatrics-focused indicators predict mortality more than age in older adults hospitalized with COVID-19.

BACKGROUND: Age has been implicated as the main risk factor for COVID-19-related mortality. Our objective was to utilize administrative data to build an explanatory model accounting for geriatrics-focused indicators to predict mortality in hospitalized older adults with COVID-19. METHODS: Retrospective cohort study of adults age 65 and older (N = 4783) hospitalized with COVID-19 in the greater New York metropolitan area between 3/1/20-4/20/20. Data included patient demographics and clinical presentation. Stepwise logistic regression with Akaike Information Criterion minimization was used. RESULTS: The average age was 77.4 (SD = 8.4), 55.9% were male, 20.3% were African American, and 15.0% were Hispanic. In multivariable analysis, male sex (adjusted odds ration (adjOR) = 1.06, 95% CI:1.03-1.09); Asian race (adjOR = 1.08, CI:1.03-1.13); history of chronic kidney disease (adjOR = 1.05, CI:1.01-1.09) and interstitial lung disease (adjOR = 1.35, CI:1.28-1.42); low or normal body mass index (adjOR:1.03, CI:1.00-1.07); higher comorbidity index (adjOR = 1.01, CI:1.01-1.02); admission from a facility (adjOR = 1.14, CI:1.09-1.20); and mechanical ventilation (adjOR = 1.52, CI:1.43-1.62) were associated with mortality. While age was not an independent predictor of mortality, increasing age (centered at 65) interacted with hypertension (adjOR = 1.02, CI:0.98-1.07, reducing by a factor of 0.96 every 10 years); early Do-Not-Resuscitate (DNR, life-sustaining treatment preferences) (adjOR = 1.38, CI:1.22-1.57, reducing by a factor of 0.92 every 10 years); and severe illness on admission (at 65, adjOR = 1.47, CI:1.40-1.54, reducing by a factor of 0.96 every 10 years). CONCLUSION: Our findings highlight that residence prior to admission, early DNR, and acute illness severity are important predictors of mortality in hospitalized older adults with COVID-19. Readily available administrative geriatrics-focused indicators that go beyond age can be utilized when considering prognosis.

Quality-of-Care Implications of Antimicrobial Prescription Patterns for Acute Respiratory Tract Infections.

ABSTRACT: The Centers for Disease Control and Prevention estimates that half of the antibiotic prescriptions for acute respiratory tract infections (ARTIs) in ambulatory care settings are unnecessary. To better understand the quality-of-care implications of prescription patterns for ARTIs, we conducted a retrospective chart review of outpatient ARTI visits, across a large integrated health system, and examined the association of patient characteristics with receiving antimicrobials, as well as the association between receiving antimicrobials and healthcare utilization (outpatient and emergency department visits). We found that 55.4% of all ARTI outpatients were treated with antimicrobials. There was no association between patient demographics and antimicrobial prescriptions on either the first (p < .0771) or follow-up (p < .6316) visits. A lower comorbidity score was significantly associated with receiving antimicrobials (p < .0022). Patients who received antimicrobials at the first visit had significantly higher number of follow-up visits (p < .005) and more follow-up antimicrobial prescriptions (p < .0066) as compared with patients who did not receive antimicrobials at the first visit. Our results highlight the potential for clinicians to improve quality of care in ARTI management.

External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19.

There is a need to discriminate which COVID-19 inpatients are at higher risk for venous thromboembolism (VTE) to inform prophylaxis strategies. The IMPROVE-DD VTE risk assessment model (RAM) has previously demonstrated good discrimination in non-COVID populations. We aimed to externally validate the IMPROVE-DD VTE RAM in medical patients hospitalized with COVID-19. This retrospective cohort study evaluated the IMPROVE-DD VTE RAM in adult patients with COVID-19 admitted to one of thirteen Northwell Health hospitals in the New York metropolitan area between March 1, 2020 and April 27, 2020. VTE was defined as new-onset symptomatic deep venous thrombosis or pulmonary embolism. To assess the predictive value of the RAM, the receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Of 9407 patients who met study criteria, 274 patients developed VTE with a prevalence of 2.91%. The VTE rate was 0.41% for IMPROVE-DD score 0-1 (low risk), 1.21% for score 2-3 (moderate risk), and 5.30% for score ≥ 4 (high risk). Approximately 45.7% of patients were classified as high VTE risk, 33.3% moderate risk, and 21.0% low risk. Discrimination of low versus moderate-high VTE risk demonstrated sensitivity 0.971, specificity 0.215, PPV 0.036, and NPV 0.996. ROC AUC was 0.703. In this external validation study, the IMPROVE-DD VTE RAM demonstrated very good discrimination to identify hospitalized COVID-19 patients at low, moderate, and high VTE risk.