Prediction of critical illness during out-of-hospital emergency care. - Wikidata - wikimedia - TriplyDB

Prediction of critical illness during out-of-hospital emergency care.

Prediction of critical illness during out-of-hospital emergency care.

http://www.wikidata.org/entity/Q30573848

about

Creating an infrastructure for comparative effectiveness research in emergency medical services A portable respiratory rate estimation system with a passive single-lead electrocardiogram acquisition module.Development and Psychometric Evaluation of the Pre-hospital Medical Emergencies Early Warning Scale Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).Nurses and physicians in a medical admission unit can accurately predict mortality of acutely admitted patients: a prospective cohort study Temperature and time stability of whole blood lactate: implications for feasibility of pre-hospital measurement External validation of the simple clinical score and the HOTEL score, two scores for predicting short-term mortality after admission to an acute medical unit.Prehospital intravenous access and fluid resuscitation in severe sepsis: an observational cohort study Using existing data to address important clinical questions in critical care.Pre-resuscitation lactate and hospital mortality in prehospital patients Influenza pneumonia surveillance among hospitalized adults may underestimate the burden of severe influenza disease.The epidemiology and outcome of prehospital respiratory distress Accuracy of prehospital transport time estimation Development and validation of a risk stratification score for ventral incisional hernia after abdominal surgery: hernia expectation rates in intra-abdominal surgery (the HERNIA Project).Seven-day mortality can be predicted in medical patients by blood pressure, age, respiratory rate, loss of independence, and peripheral oxygen saturation (the PARIS score): a prospective cohort study with external validation.Intravenous access during out-of-hospital emergency care of noninjured patients: a population-based outcome study Intensive care unit scoring systems outperform emergency department scoring systems for mortality prediction in critically ill patients: a prospective cohort study.A clinical prediction model to identify patients at high risk of death in the emergency department.Understanding of sepsis among emergency medical services: a survey study.Predicting cardiac arrest on the wards: a nested case-control study Regionalized Critical Care May Be Feasible, But Will It Improve Outcomes?Derivation of a cardiac arrest prediction model using ward vital signs*Identification of adults with sepsis in the prehospital environment: a systematic review.The burden of influenza-associated critical illness hospitalizations Near infrared spectroscopy (NIRS) of the thenar eminence in anesthesia and intensive care Accuracy of Prehospital Intravenous Fluid Volume Measurement by Emergency Medical Services.Developing a Referral Protocol for Community-Based Occupational Therapy Services in Taiwan: A Logistic Regression Analysis.Severe sepsis in pre-hospital emergency care: analysis of incidence, care, and outcome.Estimating the receiver operating characteristic curve in studies that match controls to cases on covariates.Identifying admitted patients at risk of dying: a prospective observational validation of four biochemical scoring systems.Improving risk classification of critical illness with biomarkers: a simulation study.Prediction of critical illness in elderly outpatients using elder risk assessment: a population-based study Comparing early and delayed repair of common bile duct injury to identify clinical drivers of outcome and morbidity.External validation of a prehospital risk score for critical illness County-Level Effects of Prehospital Regionalization of Critically Ill Patients: A Simulation Study.Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.The methodology of the Australian Prehospital Outcomes Study of Longitudinal Epidemiology (APOStLE) Project.Robust respiration detection from remote photoplethysmography Delays From First Medical Contact to Antibiotic Administration for Sepsis.Prediction of serious infection during prehospital emergency care.

P2860

Q28659451-D39B8A52-3147-43D8-89B3-FDD96F0FA704 Q33447296-DE69C258-024C-4286-9B37-139FB75D0227 Q33635851-55F90BC3-C538-4D55-A636-C44958D0C5D3 Q33692899-7539C7D4-7526-4D3F-9DAD-5A0CE9A84BD8 Q33895986-E20CAA27-B575-49E8-8AB3-8E057E99C78C Q33915705-E95D4534-3D75-487F-B1F0-594FF0637C6B Q34075726-E0C3E96E-6551-48DC-AC88-D3DA9B8E751C Q34416937-3BDEE980-80B7-421E-A5C1-EC8E9D98964C Q34553058-AAC587FD-BF15-4F7C-95FB-6DBC4D85F300 Q34555748-9294A242-C1F9-4526-9628-13C0EE84FE16 Q34572169-075A4715-05F8-4DE5-852F-D4A565823BA8 Q34587605-AC12F7DD-6076-4A2F-82AA-9278CBB253DC Q34610072-18EC092C-CAAB-4CBC-9984-EF0F509C6169 Q35214014-F698F762-EA1B-4469-ADD8-7B396E4461D8 Q35389695-C0E947A3-E58A-4FDA-9001-01800CFF5352 Q35583170-EC6D2E0A-B7B5-433E-BD5D-D03B5F77DE02 Q35584514-1CAF765E-A3A7-43DF-877B-1A3DD1CFB036 Q35770901-8ECDEC23-8B18-4DA4-9605-F57DA716DE85 Q35784252-C5D4513A-E3C0-48B5-A801-BECB0076F2DE Q35929920-F8012EF1-9307-4B13-A9EA-1BDEB961F6DD Q35962428-C901DC85-4DD5-4399-956F-0B8800EE000F Q36044394-C766176A-6E32-49AF-B0E5-B7C2E69727DD Q36096565-7D39CC98-5CD3-4328-92D9-EE58953A5498 Q36204702-83903FFF-383F-4E0F-88AD-E995BD08D926 Q36369704-0A181B0E-9095-4C9F-B70E-576572348E02 Q36430898-4A7E94EB-A676-4EB7-9B72-3640A5B1ECB3 Q36567782-F18DF435-5189-4689-8D1F-DCDF1A45053E Q36755085-131C56E5-8F20-41CD-9C7F-C3A6E02CD8A9 Q36920209-3C6F27AD-7C45-4572-A4FB-5FAE67F1930C Q36956673-68154E31-1643-49BE-B677-0FD8F0197EA0 Q37001346-5969EE29-0EDA-4E9E-B705-7609B910069F Q37036384-1DA5F7CE-95E3-45B5-A244-B4A121B279E4 Q37231468-23590DF2-87FE-479F-A27E-27A73A268264 Q37311162-D10BF1FF-4D78-478E-A465-6A1463AE5A64 Q37373466-4A26BAA0-E0AB-4E56-A7D4-51AC1D682703 Q37970127-220DE2C0-6684-4D5D-B196-EC5D095B8EA3 Q38567061-AE4ADECE-98F1-48FF-B5C8-887C29DF9E52 Q38778085-C6F17005-E225-4DC0-B32C-314CFF7943AB Q38943734-5D684A8B-04A3-4041-BFAB-AAE7DA80B0F9 Q39756711-38EBED3B-40A3-448E-8BBC-DE8EF7AF2272

P2860

Prediction of critical illness during out-of-hospital emergency care.

http://www.wikidata.org/entity/Q30573848

description

2010 nî lūn-bûn

@nan

2010 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

Prediction of critical illness during out-of-hospital emergency care.

@ast

Prediction of critical illness during out-of-hospital emergency care.

@en

type

label

Prediction of critical illness during out-of-hospital emergency care.

@ast

Prediction of critical illness during out-of-hospital emergency care.

@en

prefLabel

Prediction of critical illness during out-of-hospital emergency care.

@ast

Prediction of critical illness during out-of-hospital emergency care.

@en

P1433

Q30573848-6FB70091-D4AF-45B7-9B2B-135621C06152

P1476

Q30573848-40F91FDB-1230-4C45-A989-9B08DF444BB3

P2093

Q30573848-64323BB2-FC9E-475B-A96D-CF33153C5D8C

Q30573848-892701D8-50AF-4157-AC5D-FA0F30C06E4A

Q30573848-F7B90A3B-3F73-4359-A317-6B80ABA97B84

P2860

Q30573848-0A8045E0-6814-4E2C-BD26-82BF1635D6F8

Q30573848-0CBC7EBB-9C38-45E4-995B-20BADBF1893A

Q30573848-0D583212-E3DA-4012-858A-37A14F8FFE37

Q30573848-1458122C-9F40-4764-81E7-88A2356A0323

Q30573848-1DC0DE42-B314-4DAC-86FD-E36EC1CE5D03

Q30573848-23BFC8D0-9D41-43AC-8BE6-DFB76BEE63DA

Q30573848-2B7AC8D9-75BE-45D8-8FD1-6C04500271BB

Q30573848-2BC03FC3-E7FE-4541-A84E-CB9D8CBAC5DA

Q30573848-3579AD68-4486-4B42-93EA-E34AF347FDF1

Q30573848-3909E35E-6DC1-46CA-A014-5DA762F20981

P304

Q30573848-790FDDF3-A401-44DE-86CE-4C73D0E3C1DE

P31

Q30573848-95F475CD-42D0-46A4-9CA7-1D67742B8479

P356

Q30573848-66F507AC-D8BB-4A44-BD52-C6B5E388FD86

P407

Q30573848-4BCF9588-3F59-476A-B2C7-01D976689A93

P433

Q30573848-E7952A90-1EA5-474C-9406-1019100B5432

P478

Q30573848-BDC7DC08-4B77-49B0-812C-22B6825D3F3C

P50

Q30573848-2D6FA647-EBDD-4CBA-9FC7-E97802F2949E

Q30573848-C1A45CA3-24D0-4884-8DEA-8C1DAEB68B13

Q30573848-F5DE0E04-4226-48DA-A87D-1A28A3772A4A

P577

Q30573848-9A02587C-682C-49AA-BF4A-9E2FD9A6D897

P5875

Q30573848-B015E585-9CE0-4AF3-AEDE-AED74538A96B

P698

Q30573848-0E1FB021-63A7-4EBF-8A25-05F72192F0B7

P932

Q30573848-4C5C6C52-3553-45EC-9C96-A2FCA914F4CC

P356

P1433

Journal of the American Medical Association

P1476

Prediction of critical illness during out-of-hospital emergency care.

@en

P2093

Susan R Heckbert

http://www.w3.org/2001/XMLSchema#string

Thomas D Rea

http://www.w3.org/2001/XMLSchema#string

Timothy R Watkins

http://www.w3.org/2001/XMLSchema#string

P2860

Association between acute care and critical illness hospitalization and cognitive function in older adults

Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care

Identifying stroke in the field. Prospective validation of the Los Angeles prehospital stroke screen (LAPSS)

Hospital volume and the outcomes of mechanical ventilation

The meaning and use of the area under a receiver operating characteristic (ROC) curve

Validity of procedure codes in International Classification of Diseases, 9th revision, clinical modification administrative data.

The validity of using multiple imputation for missing out-of-hospital data in a state trauma registry.

The non-linear risk of mortality by income level in a healthy population: US National Health and Nutrition Examination Survey mortality follow-up cohort, 1988-2001.

Paramedic determinations of medical necessity: a meta-analysis.

Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study

P304

747-754

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1001/JAMA.2010.1140

http://www.w3.org/2001/XMLSchema#string

P407

P433

7

http://www.w3.org/2001/XMLSchema#string

P478

304

http://www.w3.org/2001/XMLSchema#string

P50

Christopher W Seymour

P577

2010-08-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

45694766

http://www.w3.org/2001/XMLSchema#string

P698

20716737

http://www.w3.org/2001/XMLSchema#string

P932

3949007

http://www.w3.org/2001/XMLSchema#string