Incidence of Thrombosis and Associated Risk Factors in Hospitalized COVID-19 Patients in a New York City Hospital System

2021 ◽  
Author(s):  
P Theprungsirikul ◽  
SE Saith
Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 32-33
Author(s):  
Poy P. Theprungsirikul ◽  
Sunil E. Saith

Introduction: As of August 10, 2020, there have been over 5 million cases of the 2019 novel coronavirus disease (COVID-19) in the United States, resulting in 162,000 deaths. New York City became the first epicenter, with several case series based on over 56,000 hospitalizations and 18,900 deaths. These case series expanded our understanding of a broader clinical spectrum of COVID-19, extending beyond the initial descriptions of a viral pneumonia. This clinical spectrum has included arterial and venous thrombotic events. Factors upon admission, which are associated with development of thrombosis in hospitalized COVID-19 patients is less well defined. Our aim is to characterize the incidence of thrombosis and the associated clinical and demographic risk factors of patients hospitalized across a New York City hospital system. Methods: We conducted a retrospective observational study of all patients, age 18 and older, hospitalized with a reverse transcriptase-polymerase chain reaction (RT-PCR) confirming severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection between March 13 and April 4, 2020 in two hospitals in New York City. Clinical demographics, admission labs and medications prior to admission were collected. Thrombotic events were identified manually by chart review and were defined as experiencing arterial and/or venous thrombotic events, including pulmonary embolism (PE), deep vein thrombosis (DVT), cerebrovascular accident (CVA), myocardial infarction (MI), acute limb ischemia, and splenic infarct, among others. Results: There were 1,352 patients hospitalized during the study period. Overall median age was 62 years (IQR: 49-72), with 455 females (33.7%). There were 160 (11.8%) thrombotic events, including 102 with venous thromboembolism (VTE), 45 with PE, 69 with DVT, 32 with CVA and 55 with other thrombotic events (e.g. MI, acute limb ischemia, and splenic infarct). Females were 46% less likely than males to experience a thrombotic event (OR: 0.54 [CI: 0.36-0.79]). Patients who racially self-identify as Asian or Pacific Islander were observed to have a 2.06 odds compared to other races of having a thrombotic event with COVID-19 (95%[CI: 1.27-3.34]). Age, admission BMI, ethnicity, smoking status, and comorbidities were not associated with the incidence of thrombosis during hospitalization. Thrombotic events were associated with higher mortality in hospitalized COVID-19 patients (35% vs 25.3%, p = 0.009). Conclusion: Traditional risk factors (age, obesity, ethnicity, smoking status, and comorbidities) were not associated with an increased risk for thrombotic events in COVID-19 patients, while admission laboratory values (d-dimer, ESR, CRP, and ferritin) among patients experiencing an event were significantly different, highlighting the impact of the cytokine storm in mediating thrombotic events. Since the incidence of thrombosis associated with COVID-19 infection may vary according to clinical demographics, further investigation to identify high risk patients may enable us to consider the role of adjunctive treatment, such as therapeutic coagulation. Disclosures No relevant conflicts of interest to declare.


Diabetes Care ◽  
2012 ◽  
Vol 36 (1) ◽  
pp. e5-e5 ◽  
Author(s):  
N. S. Islam ◽  
L. C. Wyatt ◽  
S. B. Kapadia ◽  
M. J. Rey ◽  
C. Trinh-Shevrin ◽  
...  

1991 ◽  
Vol 164 (2) ◽  
pp. 603-608 ◽  
Author(s):  
Carla J. Syverson ◽  
Wendy Chavkin ◽  
Hani K. Atrash ◽  
Roger W. Rochat ◽  
Elizabeth S. Sharp ◽  
...  

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S272-S272
Author(s):  
Tristan McPherson ◽  
Lisa Trieu ◽  
Jeanne Sullivan Meissner ◽  
Shama Ahuja ◽  
Joseph Burzynski

Abstract Background Tuberculosis (TB) recurrence has been difficult to determine due to diverse definitions. Without knowledge of recurrence rates or associated risk factors, patients with highest likelihood of recurrence may not be identified, contributing to continued morbidity and disease transmission. We aimed to determine the recurrence rate for TB cases, associated clinical findings and patient characteristics. Methods We conducted a retrospective study evaluating 7,755 New York City TB cases from 2005 to 2014 for recurrence after appropriate treatment completion through 2017. Demographic, clinical, drug susceptibility testing (DST), and genotype data were collected during routine care. Adjusted odds ratios (aOR) were calculated to estimate associated risk factors for recurrence. Results A total of 73 cases were identified with ≥ one recurrence, a rate of 0.9%. Median time to recurrence after treatment was 516 days (IQR 165–1,256). In univariate analysis, pulmonary or combination of pulmonary and extrapulmonary disease, human immunodeficiency virus (HIV) infection, culture positive disease, alcohol abuse, intravenous drug use, and homelessness in the 12 months prior to diagnosis were associated with recurrence (P < 0.05). In adjusted analysis, HIV infection (aOR 2.04 95% CI 1.13–3.67), pulmonary disease (aOR 9.03 95% CI 2.19–37.12), and having both pulmonary and extrapulmonary disease (aOR 17.19 95% CI 4.0–74.0) were independently associated with recurrence. Of 67 cases with positive culture and DST, 10 had additional drug resistance and 14 had new disease sites. Among 36 cases with complete genotyping information, data suggested relapse in 27 (75%) cases and re-infection in two (5.5%). Re-infection could not be ruled out in seven (19%) cases. Conclusion The recurrence rate for this period was lower than expected compared with other studies. HIV infection continues to be associated with recurrence despite availability of effective antiviral medication. Those with pulmonary or disseminated TB were more likely to have recurrence compared with only extrapulmonary TB. A notable number of recurrent cases demonstrated new drug resistance or disease manifestations, which should be considered in later treatment regimens and follow-up evaluation. Disclosures All authors: No reported disclosures.


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


2007 ◽  
Vol 84 (2) ◽  
pp. 212-225 ◽  
Author(s):  
Susan E. Manning ◽  
Lorna E. Thorpe ◽  
Chitra Ramaswamy ◽  
Anjum Hajat ◽  
Melissa A. Marx ◽  
...  

2021 ◽  
pp. 003335492110075
Author(s):  
Claudia Chernov ◽  
Lisa Wang ◽  
Lorna E. Thorpe ◽  
Nadia Islam ◽  
Amy Freeman ◽  
...  

Objectives Immigrant adults tend to have better health than native-born adults despite lower incomes, but the health advantage decreases with length of residence. To determine whether immigrant adults have a health advantage over US-born adults in New York City, we compared cardiovascular disease (CVD) risk factors among both groups. Methods Using data from the New York City Health and Nutrition Examination Survey 2013-2014, we assessed health insurance coverage, health behaviors, and health conditions, comparing adults ages ≥20 born in the 50 states or the District of Columbia (US-born) with adults born in a US territory or outside the United States (immigrants, following the National Health and Nutrition Examination Survey) and comparing US-born adults with (1) adults who immigrated recently (≤10 years) and (2) adults who immigrated earlier (>10 years). Results For immigrant adults, the mean time since arrival in the United States was 21.8 years. Immigrant adults were significantly more likely than US-born adults to lack health insurance (22% vs 12%), report fair or poor health (26% vs 17%), have hypertension (30% vs 23%), and have diabetes (20% vs 11%) but significantly less likely to smoke (18% vs 27%) (all P < .05). Comparable proportions of immigrant adults and US-born adults were overweight or obese (67% vs 63%) and reported CVD (both 7%). Immigrant adults who arrived recently were less likely than immigrant adults who arrived earlier to have diabetes or high cholesterol but did not differ overall from US-born adults. Conclusions Our findings may help guide prevention programs and policy efforts to ensure that immigrant adults remain healthy.


2021 ◽  
Author(s):  
Kiran Thakur ◽  
Victoria T. Chu ◽  
Christine Hughes ◽  
Carla Y. Kim ◽  
Shannon Fleck-Dardarian ◽  
...  

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