scholarly journals Predicting Fever in Neutropenia with Safety Relevant Events in Children Undergoing Chemotherapy for Cancer: the Prospective Multicenter SPOG 2015 FN Definition Study

Author(s):  
Luana Lavieri ◽  
Christa Koenig ◽  
Nicole Bodmer ◽  
Philipp Agyeman ◽  
Katrin Scheinemann ◽  
...  

Background Fever in neutropenia (FN) remains a frequent complication in pediatric patients undergoing chemotherapy for cancer. There are only conflicting and weak recommendations for and against antibiotic prophylaxis during chemotherapy. Procedure Pediatric patients were observed in a prospective multicenter study (NCT02324231). A score predicting the risk to develop FN with safety relevant events (SRE; bacteremia, severe sepsis, intensive care unit admission, death) was developed using multivariate mixed Poisson regression. Its predictive performance was assessed by internal cross-validation and compared with the performance of published rules. Results In 238 patients, 318 FN episodes were recorded, including 53 (17%) with bacteremia and 68 (21%) with SRE. The risk prediction score used three variables: chemotherapy intensity, time since diagnosis and type of malignancy. Its cross-validated performance, assessed by the time needed to cover (TNC) one event, exceeded the performance of published rules. Two clinically useful score thresholds were found: a threshold of ≥11 resulted in 2.3% time at risk and 4.1 months TNC; a threshold of ≥8 in 24.9% time at risk and 12.1 months TNC. Using external information on efficacy and timing of intermittent antibiotic prophylaxis, 4.3 months of prophylaxis were needed to prevent one FN with bacteremia, and 5.2 months to prevent one FN with SRE, using a threshold of ≥11. Conclusions This score, based on three routinely accessible characteristics, accurately identifies pediatric patients at risk to develop FN with SRE during chemothearpy. The score can help to design clinical decision rules on targeted primary antibiotic prophylaxis and corresponding efficacy studies.

Author(s):  
Laura Fletcher ◽  
Tammy Pham ◽  
Maguire Herriman ◽  
Bridget Kiely ◽  
Ruth Milanaik

2017 ◽  
Vol 2 (1) ◽  
pp. 55-70
Author(s):  
Magda Mohsen ◽  
Omayma OKby ◽  
Reda Elfeshawy

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033374 ◽  
Author(s):  
Daniela Balzi ◽  
Giulia Carreras ◽  
Francesco Tonarelli ◽  
Luca Degli Esposti ◽  
Paola Michelozzi ◽  
...  

ObjectiveIdentification of older patients at risk, among those accessing the emergency department (ED), may support clinical decision-making. To this purpose, we developed and validated the Dynamic Silver Code (DSC), a score based on real-time linkage of administrative data.Design and settingThe ‘Silver Code National Project (SCNP)’, a non-concurrent cohort study, was used for retrospective development and internal validation of the DSC. External validation was obtained in the ‘Anziani in DEA (AIDEA)’ concurrent cohort study, where the DSC was generated by the software routinely used in the ED.ParticipantsThe SCNP contained 281 321 records of 180 079 residents aged 75+ years from Tuscany and Lazio, Italy, admitted via the ED to Internal Medicine or Geriatrics units. The AIDEA study enrolled 4425 subjects aged 75+ years (5217 records) accessing two EDs in the area of Florence, Italy.InterventionsNone.Outcome measuresPrimary outcome: 1-year mortality. Secondary outcomes: 7 and 30-day mortality and 1-year recurrent ED visits.ResultsAdvancing age, male gender, previous hospital admission, discharge diagnosis, time from discharge and polypharmacy predicted 1-year mortality and contributed to the DSC in the development subsample of the SCNP cohort. Based on score quartiles, participants were classified into low, medium, high and very high-risk classes. In the SCNP validation sample, mortality increased progressively from 144 to 367 per 1000 person-years, across DSC classes, with HR (95% CI) of 1.92 (1.85 to 1.99), 2.71 (2.61 to 2.81) and 5.40 (5.21 to 5.59) in class II, III and IV, respectively versus class I (p<0.001). Findings were similar in AIDEA, where the DSC predicted also recurrent ED visits in 1 year. In both databases, the DSC predicted 7 and 30-day mortality.ConclusionsThe DSC, based on administrative data available in real time, predicts prognosis of older patients and might improve their management in the ED.


2011 ◽  
Vol 108 (4) ◽  
pp. E155-E155
Author(s):  
James A. Stephenson ◽  
Christopher A. Green ◽  
Sayed S. Bukhari ◽  
T.R. Leyshon Griffiths

Circulation ◽  
2016 ◽  
Vol 134 (20) ◽  
pp. 1568-1578 ◽  
Author(s):  
Matthew Franklin ◽  
Allan Wailoo ◽  
Mark J. Dayer ◽  
Simon Jones ◽  
Bernard Prendergast ◽  
...  

2006 ◽  
Vol 13 (8) ◽  
pp. 840-847 ◽  
Author(s):  
N. Ewen Wang ◽  
Michaela Kiernan ◽  
Mana Golzari ◽  
Michael A. Gisondi

2017 ◽  
Vol 41 (4) ◽  
pp. 209-215 ◽  
Author(s):  
P. García-Soler ◽  
J.M. Camacho Alonso ◽  
J.M. González-Gómez ◽  
G. Milano-Manso

2014 ◽  
Vol 05 (02) ◽  
pp. 313-333 ◽  
Author(s):  
W.L. Spires ◽  
T.A. Mottes ◽  
J.K. Schaffzin ◽  
C. Barclay ◽  
S.L. Goldstein ◽  
...  

Summary Background: Nephrotoxic medication-associated acute kidney injury (NTMx-AKI) is a costly clinical phenomenon and more common than previously recognized. Prior efforts to use technology to identify AKI have focused on detection after renal injury has occurred. Objectives: Describe an approach and provide a technical framework for the creation of risk-stratifying AKI triggers and the development of an application to manage the AKI trigger data. Report the performance characteristics of those triggers and the refinement process and on the challenges of implementation. Methods: Initial manual trigger screening guided design of an automated electronic trigger report. A web-based application was designed to alleviate inefficiency and serve as a user interface and central workspace for the project. Performance of the NTMx exposure trigger reports from September 2011 to September 2013 were evaluated using sensitivity (SN), specificity (SP), positive and negative predictive values (PPV, NPV). Results: Automated reports were created to replace manual screening for NTMx-AKI. The initial performance of the NTMx exposure triggers for SN, SP, PPV, and NPV all were 0.78, and increased over the study, with all four measures reaching 0.95 consistently. A web-based application was implemented that simplifies data entry and couriering from the reports, expedites results viewing, and interfaces with an automated data visualization tool. Sociotechnical challenges were logged and reported. Conclusion: We have built a risk-stratifying system based on electronic triggers that detects patients at-risk for NTMx-AKI before injury occurs. The performance of the NTMx-exposed reports has neared 100% through iterative optimization. The complexity of the trigger logic and clinical work-flows surrounding NTMx-AKI led to a challenging implementation, but one that has been successful from technical, clinical, and quality improvement standpoints. This report summarizes the construction of a trigger-based application, the performance of the triggers, and the challenges uncovered during the design, build, and implementation of the system. Citation: Kirkendall ES, Spires WL, Mottes TA, Schaffzin JK, Barclay C, Goldstein SL. Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm. Appl Clin Inf 2014; 5: 313–333 http://dx.doi.org/10.4338/ACI-2013-12-RA-0102


Circulation ◽  
1997 ◽  
Vol 96 (8) ◽  
pp. 2641-2648 ◽  
Author(s):  
Steven E. Lipshultz ◽  
Nader Rifai ◽  
Stephen E. Sallan ◽  
Stuart R. Lipsitz ◽  
Virginia Dalton ◽  
...  

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