Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1016/j.ajem.2021.05.047

http://scihub22266oqcxt.onion/10.1016/j.ajem.2021.05.047
suck pdf from google scholar
34111834!8555971!34111834
unlimited free pdf from europmc34111834    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid34111834      Am+J+Emerg+Med 2021 ; 49 (ä): 142-147
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Forecast modeling to identify changes in pediatric emergency department utilization during the COVID-19 pandemic #MMPMID34111834
  • Ramgopal S; Pelletier JH; Rakkar J; Horvat CM
  • Am J Emerg Med 2021[Nov]; 49 (ä): 142-147 PMID34111834show ga
  • OBJECTIVE: To identify trends in pediatric emergency department (ED) utilization following the COVID-19 pandemic. METHODS: We performed a cross-sectional study from 37 geographically diverse US children's hospitals. We included ED encounters between January 1, 2010 and December 31, 2020, transformed into time-series data. We constructed ensemble forecasting models of the most common presenting diagnoses and the most common diagnoses leading to admission, using data from 2010 through 2019. We then compared the most common presenting diagnoses and the most common diagnoses leading to admission in 2020 to the forecasts. RESULTS: 29,787,815 encounters were included, of which 1,913,085 (6.4%) occurred during 2020. ED encounters during 2020 were lower compared to prior years, with a 65.1% decrease in April relative to 2010-2019. In forecasting models, encounters for depression and diabetic ketoacidosis remained within the 95% confidence interval [CI]; fever, bronchiolitis, hyperbilirubinemia, skin/subcutaneous infections and seizures occurred within the 80-95% CI during the portions of 2020, and all other diagnoses (abdominal pain, otitis media, asthma, pneumonia, trauma, upper respiratory tract infections, and urinary tract infections) occurred below the predicted 95% CI. CONCLUSION: Pediatric ED utilization has remained low following the COVID-19 pandemic, and below forecasted utilization for most diagnoses. Nearly all conditions demonstrated substantial declines below forecasted rates from the prior decade and which persisted through the end of the year. Some declines in non-communicable diseases may represent unmet healthcare needs among children. Further study is warranted to understand the impact of policies aimed at curbing pandemic disease on children.
  • |*COVID-19[MESH]
  • |*Pediatrics[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Delivery of Health Care/*organization & administration[MESH]
  • |Emergency Service, Hospital/*statistics & numerical data[MESH]
  • |Facilities and Services Utilization/*statistics & numerical data[MESH]
  • |Female[MESH]
  • |Forecasting[MESH]
  • |Hospitalization/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Infant[MESH]
  • |Male[MESH]
  • |Models, Organizational[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box