scholarly journals Changes in SARS-CoV-2 viral load and mortality during the initial wave of the pandemic in New York City

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0257979
Author(s):  
Michael J. Satlin ◽  
Jason Zucker ◽  
Benjamin R. Baer ◽  
Mangala Rajan ◽  
Nathaniel Hupert ◽  
...  
Keyword(s):  
Public Health ◽  
New York ◽  
New York City ◽  
Viral Load ◽  
Hospital Mortality ◽  
York City ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Viral Loads ◽  
The Impact

Public health interventions such as social distancing and mask wearing decrease the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but it is unclear whether they decrease the viral load of infected patients and whether changes in viral load impact mortality from coronavirus disease 2019 (COVID-19). We evaluated 6923 patients with COVID-19 at six New York City hospitals from March 15-May 14, 2020, corresponding with the implementation of public health interventions in March. We assessed changes in cycle threshold (CT) values from reverse transcription-polymerase chain reaction tests and in-hospital mortality and modeled the impact of viral load on mortality. Mean CT values increased between March and May, with the proportion of patients with high viral load decreasing from 47.7% to 7.8%. In-hospital mortality increased from 14.9% in March to 28.4% in early April, and then decreased to 8.7% by May. Patients with high viral loads had increased mortality compared to those with low viral loads (adjusted odds ratio 2.34). If viral load had not declined, an estimated 69 additional deaths would have occurred (5.8% higher mortality). SARS-CoV-2 viral load steadily declined among hospitalized patients in the setting of public health interventions, and this correlated with decreases in mortality.

scholarly journals 840. Clinical Characteristics of Patients Living with HIV Hospitalized for COVID-19

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S511-S511
Author(s):  
Nimra Chaudhry ◽  
Eris Cani ◽  
Tae Park ◽  
Cosmina Zeana ◽  
Paul Kelly ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Hospital Mortality ◽  
York City ◽  
Average Length ◽  
Chronic Obstructive ◽  
Urban Hospital ◽  
Patient Disposition ◽  
The Impact ◽  
Hiv Negative

Abstract Background Limited data exists regarding the impact of coronavirus disease 2019 (COVID-19) on people living with human immunodeficiency virus (PLWH). The purpose of the study was to compare the clinical outcomes of patients hospitalized with COVID-19 and HIV versus those without HIV. Methods This was a retrospective, cohort study of adult patients admitted with confirmed COVID-19 from March 1st to May 30th 2020 at an urban hospital in New York City. Data collected included demographics, past medical history, HIV status, baseline laboratory values, treatment and outcomes such as length of stay, mechanical ventilation, patient disposition at discharge, and in-hospital mortality. Fisher’s exact test was used to compare categorical values and a t-test was used to compare continuous values. Results Out of 983 patients, 6.9% were PLWH and 93.1% were HIV-negative. The average age in both groups was 61 vs. 62 years, respectively. There were more male patients in the PLWH than the non-HIV group (76.8% vs. 58.6%). Majority of PLWH were Black (49.3%). Forty-seven percent of PLWH were mechanically ventilated versus 33.3% of the non-HIV group. The most common comorbidity in both groups was hypertension (82.4% vs. 72.6%). When compared to HIV-negative patients, PLWH had a higher rate of kidney disease (72.1% vs. 53.6%, p=0.0086), chronic obstructive pulmonary disease (41.2% vs. 14.5%, p=0.0001), liver disease (45.6% vs. 11.5%, p=0.0001) and current smoking (14.3% vs. 5.8%, p=0.0103). In PLWH, 70.6% of patients were on an integrase-based regimen. Fifty-three percent of PLWH had a CD4 count of > 200 cells/mm3 and 35.3% had an undetectable viral load (< 20 copies/mL). Unadjusted hospital mortality was 51.4% in PLWH and 36.2% in the non-HIV cohort (p=0.0089). The average length of hospital stay was 9.1 days vs. 8.4 days in PLWH versus the non-HIV group (p=0.4493). More patients were discharged to a nursing home in the non-HIV group vs. PLWH (37.8% vs. 14.3%, p=0.0001). Conclusion Hospitalized patients with COVID-19 and HIV had a higher in-hospital mortality compared to those without HIV during the first COVID wave in New York City. Disclosures All Authors: No reported disclosures

scholarly journals Impact of Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load on Risk of Intubation and Mortality Among Hospitalized Patients With Coronavirus Disease 2019

2020 ◽  
Author(s):  
Reed Magleby ◽  
Lars F Westblade ◽  
Alex Trzebucki ◽  
Matthew S Simon ◽  
Mangala Rajan ◽  
...  
Keyword(s):  
New York ◽  
Viral Load ◽  
Severe Acute Respiratory Syndrome ◽  
Hospital Mortality ◽  
Smoking Status ◽  
High Viral Load ◽  
Hospitalized Patients ◽  
Nasopharyngeal Swab ◽  
Viral Loads ◽  
The Impact

Abstract Background Patients hospitalized with coronavirus disease 2019 (COVID-19) frequently require mechanical ventilation and have high mortality rates. However, the impact of viral burden on these outcomes is unknown. Methods We conducted a retrospective cohort study of patients hospitalized with COVID-19 from 30 March 2020 to 30 April 2020 at 2 hospitals in New York City. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load was assessed using cycle threshold (Ct) values from a reverse transcription-polymerase chain reaction assay applied to nasopharyngeal swab samples. We compared characteristics and outcomes of patients with high, medium, and low admission viral loads and assessed whether viral load was independently associated with intubation and in-hospital mortality. Results We evaluated 678 patients with COVID-19. Higher viral load was associated with increased age, comorbidities, smoking status, and recent chemotherapy. In-hospital mortality was 35.0% (Ct <25; n = 220), 17.6% (Ct 25–30; n = 216), and 6.2% (Ct >30; n = 242) with high, medium, and low viral loads, respectively (P < .001). The risk of intubation was also higher in patients with a high viral load (29.1%) compared with those with a medium (20.8%) or low viral load (14.9%; P < .001). High viral load was independently associated with mortality (adjusted odds ratio [aOR], 6.05; 95% confidence interval [CI], 2.92–12.52) and intubation (aOR, 2.73; 95% CI, 1.68–4.44). Conclusions Admission SARS-CoV-2 viral load among hospitalized patients with COVID-19 independently correlates with the risk of intubation and in-hospital mortality. Providing this information to clinicians could potentially be used to guide patient care.

scholarly journals Evolution of disease transmission during the COVID-19 pandemic: patterns and determinants

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jie Zhu ◽  
Blanca Gallego
Keyword(s):  
Public Health ◽  
Disease Transmission ◽  
Clustering Algorithm ◽  
Health Interventions ◽  
Transmission Model ◽  
Model Parameters ◽  
Public Health Interventions ◽  
Forecasting Accuracy ◽  
Time Lagged ◽  
The Impact

AbstractEpidemic models are being used by governments to inform public health strategies to reduce the spread of SARS-CoV-2. They simulate potential scenarios by manipulating model parameters that control processes of disease transmission and recovery. However, the validity of these parameters is challenged by the uncertainty of the impact of public health interventions on disease transmission, and the forecasting accuracy of these models is rarely investigated during an outbreak. We fitted a stochastic transmission model on reported cases, recoveries and deaths associated with SARS-CoV-2 infection across 101 countries. The dynamics of disease transmission was represented in terms of the daily effective reproduction number ($$R_t$$ R t ). The relationship between public health interventions and $$R_t$$ R t was explored, firstly using a hierarchical clustering algorithm on initial $$R_t$$ R t patterns, and secondly computing the time-lagged cross correlation among the daily number of policies implemented, $$R_t$$ R t , and daily incidence counts in subsequent months. The impact of updating $$R_t$$ R t every time a prediction is made on the forecasting accuracy of the model was investigated. We identified 5 groups of countries with distinct transmission patterns during the first 6 months of the pandemic. Early adoption of social distancing measures and a shorter gap between interventions were associated with a reduction on the duration of outbreaks. The lagged correlation analysis revealed that increased policy volume was associated with lower future $$R_t$$ R t (75 days lag), while a lower $$R_t$$ R t was associated with lower future policy volume (102 days lag). Lastly, the outbreak prediction accuracy of the model using dynamically updated $$R_t$$ R t produced an average AUROC of 0.72 (0.708, 0.723) compared to 0.56 (0.555, 0.568) when $$R_t$$ R t was kept constant. Monitoring the evolution of $$R_t$$ R t during an epidemic is an important complementary piece of information to reported daily counts, recoveries and deaths, since it provides an early signal of the efficacy of containment measures. Using updated $$R_t$$ R t values produces significantly better predictions of future outbreaks. Our results found variation in the effect of early public health interventions on the evolution of $$R_t$$ R t over time and across countries, which could not be explained solely by the timing and number of the adopted interventions.

The Impact of Customer Loyalty and Restaurant Sanitation Grades on Revisit Intention and the Importance of Narrative Information: The Case of New York Restaurant Sanitation Grading System

2017 ◽  
Vol 59 (3) ◽  
pp. 275-284 ◽  
Author(s):  
Min Gyung Kim ◽  
Hyunjoo Yang ◽  
Anna S. Mattila
Keyword(s):  
New York ◽  
New York City ◽  
Customer Loyalty ◽  
York City ◽  
Letter Grades ◽  
The Difference ◽  
Revisit Intentions ◽  
Using Data ◽  
The Impact ◽  
Loyal Customers

New York City launched a restaurant sanitation letter grade system in 2010. We evaluate the impact of customer loyalty on restaurant revisit intentions after exposure to a sanitation grade alone, and after exposure to a sanitation grade plus narrative information about sanitation violations (e.g., presence of rats). We use a 2 (loyalty: high or low) × 4 (sanitation grade: A, B, C, or pending) between-subjects full factorial design to test the hypotheses using data from 547 participants recruited from Amazon MTurk who reside in the New York City area. Our study yields three findings. First, loyal customers exhibit higher intentions to revisit restaurants than non-loyal customers, regardless of sanitation letter grades. Second, the difference in revisit intentions between loyal and non-loyal customers is higher when sanitation grades are poorer. Finally, loyal customers are less sensitive to narrative information about sanitation violations.

scholarly journals The Impact of Covid‐19 on Certified Nursing Assistants in New York City: A Cross‐Sectional Study

2021 ◽  
Vol 56 (S2) ◽  
pp. 41-42
Author(s):  
Sanjay Pinto ◽  
Madeline Sterling ◽  
Faith Wiggins ◽  
Rebecca Hall ◽  
Chenjuan Ma
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Cross Sectional Study ◽  
Nursing Assistants ◽  
Certified Nursing Assistants ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact

The Impact of Public Health Interventions on Delaying and Mitigating against Replacement by SARS-CoV-2 Variants of Concern

2021 ◽  
Author(s):  
Jianhong Wu ◽  
Francesca Scarabel ◽  
Bushra Majeed ◽  
Nicola Luigi Bragazzi ◽  
James Orbinski
Keyword(s):  
Public Health ◽  
Health Interventions ◽  
Public Health Interventions ◽  
The Impact
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