Real-Time Surveillance of Influenza Morbidity: Tracking Intensive Care Unit Resource Utilization

Baker, Arthur W.; Edmond, Michael B.; Herwaldt, Loreen A.; Chen, Luke F.; Srikantaswamy, Sudha; Sexton, Daniel J.

doi:10.1513/annalsats.201609-721oc

Cited by 8 publications

(9 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pathogen-specific disease burden has been examined by a number of other groups 13 14. However, our finding that the majority of critically ill patients with SARI have no diagnosed microbial aetiology reinforces the need for syndrome-based, in addition to pathogen-based, surveillance for critically ill patients.…”

Section: Severe Acute Respiratory Infection Pathogensmentioning

confidence: 56%

Using research to prepare for outbreaks of severe acute respiratory infection

investigators.¹

2019

BMJ Glob Health

View full text Add to dashboard Cite

Severe acute respiratory infections (SARI) remain one of the leading causes of mortality around the world in all age groups. There is large global variation in epidemiology, clinical management and outcomes, including mortality. We performed a short period observational data collection in critical care units distributed globally during regional peak SARI seasons from 1 January 2016 until 31 August 2017, using standardised data collection tools. Data were collected for 1 week on all admitted patients who met the inclusion criteria for SARI, with follow-up to hospital discharge. Proportions of patients across regions were compared for microbiology, management strategies and outcomes. Regions were divided geographically and economically according to World Bank definitions. Data were collected for 682 patients from 95 hospitals and 23 countries. The overall mortality was 9.5%. Of the patients, 21.7% were children, with case fatality proportions of 1% for those less than 5 years. The highest mortality was in those above 60 years, at 18.6%. Case fatality varied by region: East Asia and Pacific 10.2% (21 of 206), Sub-Saharan Africa 4.3% (8 of 188), South Asia 0% (0 of 35), North America 13.6% (25 of 184), and Europe and Central Asia 14.3% (9 of 63). Mortality in low-income and low-middle-income countries combined was 4% as compared with 14% in high-income countries. Organ dysfunction scores calculated on presentation in 560 patients where full data were available revealed Sequential Organ Failure Assessment (SOFA) scores on presentation were significantly associated with mortality and hospital length of stay. Patients in East Asia and Pacific (48%) and North America (24%) had the highest SOFA scores of >12. Multivariable analysis demonstrated that initial SOFA score and age were independent predictors of hospital survival. There was variability across regions and income groupings for the critical care management and outcomes of SARI. Intensive care unit-specific factors, geography and management features were less reliable than baseline severity for predicting ultimate outcome. These findings may help in planning future outbreak severity assessments, but more globally representative data are required.

show abstract

Section: Severe Acute Respiratory Infection Pathogensmentioning

confidence: 56%

Using research to prepare for outbreaks of severe acute respiratory infection

investigators.¹

2019

BMJ Glob Health

View full text Add to dashboard Cite

show abstract

“…Based on the median LOS of 4.9 days, these hospitalizations accounted for 21,624 hospital bed days ( Table 1) 2017 proposed an approach for tracking influenza intensive care unit bed utilization to monitor severity of the influenza season (Baker, 2017). However, many states are not reporting hospitalizations reliably or at all, let alone intensive care beds to provide usual information that can be aggregated.…”

Section: Resultsmentioning

confidence: 99%

“…In the absence of wide spread testing prior to or at the initial onset of the epidemic, Hospitalization Tracking Project, and our work expands upon the efforts of UM by incorporating hospital capacity and providing a means to assess the ongoing epidemic. Baker et al 2017 proposed an approach for tracking influenza intensive care unit bed utilization to monitor severity of the influenza season (Baker, 2017). However, many states are not reporting hospitalizations reliably or at all, let alone intensive care beds to provide usual information that can be aggregated.…”

Section: Discussionmentioning

confidence: 99%

When Second Best Might be the Best: Using Hospitalization Data to Monitor the Novel Coronavirus Pandemic

Mallow¹,

Jones

2020

Preprint

View full text Add to dashboard Cite

The novel coronavirus' high rate of asymptomatic transmission combined with a lack of testing kits call for a different approach to monitor its spread and severity. We proposed the use of hospitalizations and hospital utilization data to monitor the spread and severity. A proposed threshold of a declining 7-day moving average over a 14-day period, "7&14" was set to communicate when a wave of the novel coronavirus may have passed. The state of Ohio was chosen to illustrate this threshold. While not the ideal solution for monitoring the spread of the epidemic, the proposed approach is an easy to implement framework accounting for limitations of the data inherent in the current epidemic. Hospital administrators and policy makers may benefit from incorporating this approach into their decision making.

show abstract

“…The UM initiated a COVID-19 Hospitalization Tracking Project, and our work expands upon the efforts of UM by incorporating hospital capacity and providing a means to assess the ongoing epidemic. Baker et al ( 20 ) proposed an approach for tracking influenza intensive care unit bed utilization to monitor severity of the influenza season ( 20 ). However, many states are not reporting hospitalizations reliably or at all, let alone intensive care beds to provide usual information that can be aggregated.…”

Section: Discussionmentioning

confidence: 99%

When Second Best Might Be the Best: Using Hospitalization Data to Monitor the Novel Coronavirus Pandemic

Mallow

Jones

2020

Front. Public Health

View full text Add to dashboard Cite

The novel coronavirus' high rate of asymptomatic transmission combined with a lack of testing kits call for a different approach to monitor its spread and severity. We proposed the use of hospitalizations and hospital utilization data to monitor the spread and severity. A proposed threshold of a declining 7-day moving average over a 14-day period, “7&14” was set to communicate when a wave of the novel coronavirus may have passed. The state of Ohio was chosen to illustrate this threshold. While not the ideal solution for monitoring the spread of the epidemic, the proposed approach is an easy to implement framework accounting for limitations of the data inherent in the current epidemic. Hospital administrators and policy makers may benefit from incorporating this approach into their decision making.

show abstract

Real-Time Surveillance of Influenza Morbidity: Tracking Intensive Care Unit Resource Utilization

Cited by 8 publications

References 18 publications

Using research to prepare for outbreaks of severe acute respiratory infection

Using research to prepare for outbreaks of severe acute respiratory infection

When Second Best Might be the Best: Using Hospitalization Data to Monitor the Novel Coronavirus Pandemic

When Second Best Might Be the Best: Using Hospitalization Data to Monitor the Novel Coronavirus Pandemic

Contact Info

Product

Resources

About