scholarly journals 932. Clinical Characteristics of Persistent and Relapsing Babesiosis at an Academic Medical Center in New York City, 2015-2020

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S558-S559
Author(s):  
Wesley Rogers ◽  
Laura Kirkman ◽  
Matthew Simon ◽  
Lars Westblade

Abstract Background Current guidelines recommend at least 6 weeks of therapy for immunocompromised babesiosis patients; however, limited data exists to guide management in this population. We describe our institutional experience with immunocompromised babesiosis patients. Methods We reviewed all adult patients reported to the New York City Department of Health and Mental Hygiene with a diagnosis of babesiosis at New York-Presbyterian (NYP)/Weill Cornell Medical Center and NYP/Lower Manhattan Hospital between 2015 and 2020. We compared characteristics and outcomes between patients receiving prolonged treatment (≥ 6 weeks; “cases”) and standard treatment (7-10 days; “controls”). Variables were compared using Fishers exact test or Wilcoxon Rank Sum test. Results Among 35 patients diagnosed with babesiosis, 10 (29%) received at least 6 weeks of therapy. 5/10 (50%) received extended treatment due to persistent and/or relapsing parasitemia, evidence of hemolysis and/or clinical symptoms at 6 weeks from diagnosis (Table 1). The median age was 67 years and immunocompromising conditions included: anti-CD 20 therapy (40%), history of stem cell transplant (20%), anti-TNF alpha (10%), beta-thalassemia (10%), Waldenstrom’s macroglobulinemia (10%). Among case patients, the median treatment duration was 53 days (IQR 42-153) and 100% of patients received azithromycin/atovaquone based regimens with adjunctive agents including doxycycline (60%), clindamycin (20%) and proguanil (20%). Compared to control patients, case patients had higher frequency of blood transfusions (50% vs 12%; p=0.03), however, there was no difference in median peak parasitemia (1.13% vs 0.6%), rates of hospital admission (80% vs 88%), length of stay (6 vs 4 days), organ dysfunction (10% vs 4%) and mortality (0% vs 0%) (Table 2). Conclusion We found a high frequency (29%) of babesiosis patients at our medical center received at least a 6-week treatment course due to immunocompromising conditions. Although immunocompromised patients received longer treatment courses and had more severe anemia, in contrast to prior studies, we found other complications such as hospitalization rates, length of stay, organ dysfunction and mortality were comparable between both patient groups. Disclosures Lars Westblade, PhD, Accelerate Diagnostics Inc (Grant/Research Support)BioFire Diagnostics (Grant/Research Support)Hardy Diagnostics (Grant/Research Support)Roche (Consultant, Advisor or Review Panel member)Shionogi Inc (Advisor or Review Panel member)Talis Biomedical (Advisor or Review Panel member)

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Matthew S. Simon ◽  
Angela Loo ◽  
Michael Satlin ◽  
Harjot Singh ◽  
Christina Chai ◽  
...  

CHEST Journal ◽  
2021 ◽  
Vol 160 (4) ◽  
pp. A553-A554
Author(s):  
Maan El Halabi ◽  
James Feghali ◽  
Jeeyune Bahk ◽  
Paulino Tallón de Lara ◽  
Bharat Narasimhan ◽  
...  

2021 ◽  
Author(s):  
Maan El Halabi ◽  
James Feghali ◽  
Paulino Tallon de Lara ◽  
Bharat Narasimhan ◽  
Kam Ho ◽  
...  

Background: Coronavirus disease 2019 (COVID-19) has evolved into a true global pandemic infecting more than 30 million people worldwide. Predictive models for key outcomes have the potential to optimize resource utilization and patient outcome as outbreaks continue to occur worldwide. We aimed to design and internally validate a web-based calculator predictive of hospitalization and length of stay (LOS) in a large cohort of COVID-19 positive patients presenting to the Emergency Department (ED) in a New York City health system. Methods The study cohort consisted of consecutive adult (>18 years) patients presenting to the ED of one of the Mount Sinai Health System hospitals between March, 2020 and April, 2020 who were diagnosed with COVID-19. Logistic regression was utilized to construct predictive models for hospitalization and prolonged (>3 days) LOS. Discrimination was evaluated using area under the receiver operating curve (AUC). Internal validation with bootstrapping was performed, and a web-based calculator was implemented. Results The cohort consisted of 5859 patients with a hospitalization rate of 65% and a prolonged LOS rate of 75% among hospitalized patients. Independent predictors of hospitalization included older age (OR=6.29; 95% CI [1.83-2.63], >65 vs. 18-44), male sex (OR=1.35 [1.17-1.55]), chronic obstructive pulmonary disease (OR=1.74; [1.00-3.03]), hypertension (OR=1.39; [1.13-1.70]), diabetes (OR=1.45; [1.16-1.81]), chronic kidney disease (OR=1.69; [1.23-2.32]), elevated maximum temperature (OR=4.98; [4.28-5.79]), and low minimum oxygen saturation (OR=13.40; [10.59-16.96]). Predictors of extended LOS included older age (OR=1.03 [1.02-1.04], per year), chronic kidney disease (OR=1.91 [1.35-2.71]), elevated maximum temperature (OR=2.91 [2.40-3.53]), and low minimum percent oxygen saturation (OR=3.89 [3.16-4.79]). AUCs of 0.881 and 0.770 were achieved for hospitalization and LOS, respectively. A calculator was made available under the following URL: https://covid19-outcome-prediction.shinyapps.io/COVID19_Hospitalization_Calculator/ Conclusion The prediction tool derived from this study can be used to optimize resource allocation, guide quality of care, and assist in designing future studies on the triage and management of patients with COVID-19.


Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 534 ◽  
Author(s):  
Li Pang ◽  
Eric P. Stahl ◽  
Kana Fujikura ◽  
Michelle Chen ◽  
Weijia Li ◽  
...  

(1) Background: This study sought to explore how the novel coronavirus (COVID-19) pandemic affected the echocardiography (TTE) laboratory operations at a high volume medical center in New York City. Changes in cardiac imaging study volume, turn-around time, and abnormal findings were analyzed and compared to a pre-pandemic period. (2) Methods: Volume of all cardiac imaging studies and TTE reports between 11 March 2020 to 5 May 2020 and the same calendar period in 2019 were retrospectively identified and compared. (3) Results: During the pandemic, our center experienced a 46.72% reduction in TTEs, 82.47% reduction in transesophageal echocardiograms, 83.16% reduction in stress echo, 70.32% reduction in nuclear tests, 46.25% reduction in calcium score, 73.91% reduction in coronary computed tomography angiography, and 87.23% reduction in cardiac magnetic resonance imaging. TTE findings were overall similar between 2020 and 2019 (all p ≥ 0.05), except for a significantly higher right ventricular systolic pressure in 2020 (39.8 ± 14.2 vs. 34.6 ± 11.2 mmHg, p = 0.012). (4) Conclusions: Despite encountering an influx of critically ill patients, our hospital center experienced a reduction in the number of cardiac imaging studies, which likely represents a change in both patient mindset and physician management approach.


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