Predicting cardiac arrest on the wards: a nested case-control study
about
The effect of adult Early Warning Systems education on nurses' knowledge, confidence and clinical performance: A systematic review.Multicenter Study Validating Accuracy of a Continuous Respiratory Rate Measurement Derived From Pulse Oximetry: A Comparison With CapnographyFlash mob research: a single-day, multicenter, resident-directed study of respiratory rate.Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.The prognostic significance of respiratory rate in patients with pneumonia: a retrospective analysis of data from 705,928 hospitalized patients in Germany from 2010-2012.Relationship between ICU bed availability, ICU readmission, and cardiac arrest in the general wards.Multicenter development and validation of a risk stratification tool for ward patients.Differences in vital signs between elderly and nonelderly patients prior to ward cardiac arrest.Modified Early Warning System improves patient safety and clinical outcomes in an academic community hospitalModified Early Warning Score Changes Prior to Cardiac Arrest in General Wards.Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards.Derivation of a cardiac arrest prediction model using ward vital signs*Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the WardsPredicting clinical deterioration in the hospital: the impact of outcome selection.Risk stratification of hospitalized patients on the wards.A prospective study of nighttime vital sign monitoring frequency and risk of clinical deterioration.Early warning system scores for clinical deterioration in hospitalized patients: a systematic review.Attitudes of nursing staff towards a Modified Early Warning System.Is everyone really breathing 20 times a minute? Assessing epidemiology and variation in recorded respiratory rate in hospitalised adults.Application of the National Early Warning Score (NEWS) as a stratification tool on admission in an Italian acute medical ward: A perspective study.Real-Time Risk Prediction on the Wards: A Feasibility Study.Analysis of the Proportional Hazards Model with Sparse Longitudinal Covariates.Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients.Effect of a Real-Time Electronic Dashboard on a Rapid Response System.Association Between Survival and Time of Day for Rapid Response Team Calls in a National Registry.Emergency care within hospitals: can it be done more efficiently?Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in the Netherlands: a clinical validation study.Validation of Factors Affecting the Outcome of Cardiopulmonary Arrest in a Large, Urban, Academic Medical Center
P2860
Q30234671-972FFDAE-398F-47CF-BF6D-A68E922DA9FBQ30359202-7D39BB6B-7869-42E7-84DE-CDD6F6AD3959Q30412729-5CDA9E3D-CB00-4F54-9A44-EC273755CB74Q30697388-76E46D4B-B727-445E-B346-83089531BCADQ30843824-4FB0252B-2628-4035-AE4B-B39104B6A874Q34052720-D0E14A93-0481-4C7E-BC2C-490DB8647FE4Q34425920-07A2FEB9-157B-4529-9CDF-5754AA1EFFAFQ35177486-4C4B302D-FC79-48FF-9DB9-791B42FDCDA8Q35289743-07DFAB33-892A-44DC-8DB8-5FFAB790BFE6Q35670514-E7FD1ECD-5CFC-4B4A-AC20-71F828AE4549Q36030863-C26C877D-97AA-490F-8C41-F21EA6420F71Q36044394-68A271E2-B9EC-473A-9720-7468DD5BAE88Q36530613-59E4308D-A698-448A-B79D-61917BF3F9B6Q36598573-FE3051D1-81D0-482D-8329-47E56DA08AD8Q36905358-4EE4B4A7-57FA-4B8F-84DC-B9BE9D7C6AB8Q37171324-B12CFF14-7B4E-4748-AB1D-7E41FFBDC8CDQ38258149-8A7CE4DC-BD16-4946-A224-80687A3388D5Q38583965-4AC27568-6C9A-4A90-8E41-E830041C305EQ38708093-7B469275-B3EB-4B3A-B192-95EA98B48968Q38919012-976D1B19-AC00-4EE3-8CCF-795BD3FFF235Q39853384-5BD3F165-DF8C-4BA4-9342-DDA1E6532B69Q40313700-67A370BA-A07E-461E-8D68-A01D7B2E0DDBQ40475484-8CE1989D-E2E2-4150-966A-8EAD25C85640Q45073528-063FEED8-8EF2-4181-8ED6-FA58C7C3AF2DQ47822165-D91EFB4A-CC2E-4F75-82DD-5675F194C5C4Q48010960-6376A6E0-385C-4346-9F74-24101253AAA6Q52682545-FF18C96C-056A-407B-8F8E-3C140F8CC8B7Q59048709-979A5D9E-1245-4D47-9317-B0155232D087
P2860
Predicting cardiac arrest on the wards: a nested case-control study
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Predicting cardiac arrest on the wards: a nested case-control study
@ast
Predicting cardiac arrest on the wards: a nested case-control study
@en
type
label
Predicting cardiac arrest on the wards: a nested case-control study
@ast
Predicting cardiac arrest on the wards: a nested case-control study
@en
prefLabel
Predicting cardiac arrest on the wards: a nested case-control study
@ast
Predicting cardiac arrest on the wards: a nested case-control study
@en
P2093
P2860
P356
P1433
P1476
Predicting cardiac arrest on the wards: a nested case-control study
@en
P2093
Dana P Edelson
Jesse B Hall
Matthew M Churpek
Michael T Huber
Seo Young Park
Trevor C Yuen
P2860
P304
P356
10.1378/CHEST.11-1301
P407
P577
2011-11-03T00:00:00Z