scholarly journals Lessons from Epidemiologic Research about Risk Factors, Modifiers, and Progression of Late Onset Alzheimer's Disease in New York City at Columbia University Medical Center

2012 ◽  
Vol 33 (s1) ◽  
pp. S447-S455 ◽  
Author(s):  
Devangere Devanand ◽  
Joseph Lee ◽  
Jose Luchsinger ◽  
Jennifer Manly ◽  
Karen Marder ◽  
...  
1996 ◽  
Vol 8 (2) ◽  
pp. 157-158
Author(s):  
Barry Reisberg

This issue is a product of a special meeting ofthe International Psychogeriatric Association (IPA). The meeting, entitled “Outcome Methodologies for Pharmacologic Trials in Mild, Moderate, and Severe Alzheimer's Disease,” was held under the auspices of the IPA's Pharmacy and Therapeutics Comniittee on July 26, 1994, at the New York University Medical Center in New York City. The purpose of the meeting was to bring together leading scientists, clinicians, and regulatory personnel to address issues surrounding assessment of treatment efficacy in Alzheimer's disease (AD).


2008 ◽  
Vol 9 (1) ◽  
pp. 4-10 ◽  
Author(s):  
Robin C. Fenley ◽  
Sarah J. Bober ◽  
Mebane E. Powell ◽  
Jacquelin Berman ◽  
Barbara N. Altman

This article reports on the first 2 years of an ongoing project that examined the efficacy of a 10-hour dementia training provided to entry-level personal care aide (PCA) trainees from the Hispanic, White, African American, and Asian communities in New York City. Participants were enrolled in a 90-hour PCA training program offered by the New York City Department for the Aging and were either recipients of public assistance, displaced employees from September 11, or recent immigrants to the United States from China. Classes were conducted in Spanish, English, and Mandarin/Cantonese. An 11-item Knowledge of Alzheimer’s Disease instrument was developed for the purposes of this project and administered before and after the dementia training and at 3 months following graduation. All groups, regardless of language, showed a significant increase in knowledge of Alzheimer’s disease at the conclusion of the training and retention of this knowledge at 3 months follow-up. Age was strongly correlated with an increase in knowledge, while gender and education were not.


2021 ◽  
pp. 1-12
Author(s):  
Amro A. Harb ◽  
RuiJun Chen ◽  
Herbert S. Chase ◽  
Karthik Natarajan ◽  
James M. Noble

Background: Patients with dementia are vulnerable during the coronavirus disease 2019 (COVID-19) pandemic, yet few studies describe their hospital course and outcomes. Objective: To describe and compare the hospital course for COVID-19 patients with dementia to an aging cohort without dementia in a large New York City academic medical center. Methods: This was a single-center retrospective cohort study describing all consecutive patients age 65 or older with confirmed COVID-19 who presented to the emergency department or were hospitalized at New York-Presbyterian/Columbia University Irving Medical Center between March 6 and April 7, 2020. Results: A total of 531 patients were evaluated, including 116 (21.8%) with previously diagnosed dementia, and 415 without dementia. Patients with dementia had higher mortality (50.0%versus 35.4%, p = 0.006); despite similar comorbidities and complications, multivariate analysis indicated the association was dependent on age, sex, comorbidities, and code status. Patients with dementia more often presented with delirium (36.2%versus 11.6%, p <  0.001) but less often presented with multiple other COVID-19 symptoms, and these findings remained after adjusting for age and sex. Conclusion: Hospitalized COVID-19 patients with dementia had higher mortality, but dementia was not an independent risk factor for death. These patients were approximately 3 times more likely to present with delirium but less often manifested or communicated other common COVID-19 symptoms. For this high-risk population in a worsening pandemic, understanding the unique manifestations and course in dementia and aging populations may help guide earlier diagnosis and optimize medical management.


2020 ◽  
Vol 37 (10) ◽  
pp. 1005-1014 ◽  
Author(s):  
Nigel Madden ◽  
Ukachi N. Emeruwa ◽  
Alexander M. Friedman ◽  
Janice J. Aubey ◽  
Aleha Aziz ◽  
...  

Objective This study aimed to (1) determine to what degree prenatal care was able to be transitioned to telehealth at prenatal practices associated with two affiliated hospitals in New York City during the novel coronavirus disease 2019 (COVID-19) pandemic and (2) describe providers' experience with this transition. Study Design Trends in whether prenatal care visits were conducted in-person or via telehealth were analyzed by week for a 5-week period from March 9 to April 12 at Columbia University Irving Medical Center (CUIMC)-affiliated prenatal practices in New York City during the COVID-19 pandemic. Visits were analyzed for maternal-fetal medicine (MFM) and general obstetrical faculty practices, as well as a clinic system serving patients with public insurance. The proportion of visits that were telehealth was analyzed by visit type by week. A survey and semistructured interviews of providers were conducted evaluating resources and obstacles in the uptake of telehealth. Results During the study period, there were 4,248 visits, of which approximately one-third were performed by telehealth (n = 1,352, 31.8%). By the fifth week, 56.1% of generalist visits, 61.5% of MFM visits, and 41.5% of clinic visits were performed via telehealth. A total of 36 providers completed the survey and 11 were interviewed. Accessing technology and performing visits, documentation, and follow-up using the telehealth electronic medical record were all viewed favorably by providers. In transitioning to telehealth, operational challenges were more significant for health clinics than for MFM and generalist faculty practices with patients receiving public insurance experiencing greater difficulties and barriers to care. Additional resources on the patient and operational level were required to optimize attendance at in-person and video visits for clinic patients. Conclusion Telehealth was rapidly implemented in the setting of the COVID-19 pandemic and was viewed favorably by providers. Limited barriers to care were observed for practices serving patients with commercial insurance. However, to optimize access for patients with Medicaid, additional patient-level and operational supports were required. Key Points


Stroke ◽  
2020 ◽  
Vol 51 (9) ◽  
Author(s):  
Steven A. Sparr ◽  
Phyllis L. Bieri

Background and Purpose: Ischemic infarction of the corpus callosum is rare and infarction isolated to the corpus callosum alone rarer still, accounting for much <1% of ischemic stroke in most stroke registries. About half of callosal infarctions affect the splenium. Methods: During a 2-week period, at the height of the coronavirus disease 2019 (COVID-19) pandemic in New York City, 4 patients at Montefiore Medical Center in the Bronx were found to have ischemic lesions of the splenium of the corpus callosum, 2 with infarction isolated to the corpus callosum. Results: All patients tested positive for COVID-19 and 3 had prolonged periods of intubation. All had cardiovascular risk factors. Clinically, all presented with encephalopathy and had evidence of coagulopathy and raised inflammatory markers. Conclusions: Infarction of the splenium of the corpus callosum is exceedingly rare and a cluster of such cases suggests COVID-19 as an inciting agent, with the mechanisms to be elucidated.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wil Lieberman-Cribbin ◽  
Naomi Alpert ◽  
Raja Flores ◽  
Emanuela Taioli

Abstract Background New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC. Methods A cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020–07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors. Results The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (βadj = − 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (βadj = 0.90, SE = 0.38, p = 0.0200), median age (βadj = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (βadj = 5.84, SE = 0.82, p <  0.001) were statistically significantly positively associated with death rates. Conclusions Disparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality.


Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points


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