| P50 | author | Stig Lønberg Nielsen | Q47545838 |
| | Henrik Carl Schønheyder | Q47546378 |
| P2093 | author name string | Christian Østergaard | |
| | Annmarie Touborg Lassen | |
| | Court Pedersen | |
| | Magnus Arpi | |
| | Thøger Gorm Jensen | |
| | Mette Søgaard | |
| | Jenny Dahl Knudsen | |
| | Hans Jørn Kolmos | |
| | Danish Collaborative Bacteraemia Network (DACOBAN) | |
| | Stig Lønberg Nielsen | |
| | Kim Oren Gradel | |
| | Danish Observational Registry of Infectious Syndromes (DORIS) | |
| P2860 | cites work | Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine | Q22306067 |
| | Epidemiology of sepsis in Norway in 1999 | Q24800567 |
| | Population-based epidemiology and microbiology of community-onset bloodstream infections | Q27013639 |
| | Severe sepsis and septic shock | Q27026614 |
| | Overall burden of bloodstream infection and nosocomial bloodstream infection in North America and Europe | Q27027680 |
| | Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care | Q27860820 |
| | Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012 | Q28284276 |
| | A new method of classifying prognostic comorbidity in longitudinal studies: development and validation | Q29547376 |
| | The epidemiology of sepsis in the United States from 1979 through 2000 | Q29547760 |
| | 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference | Q29618757 |
| | Accuracy of hospital administrative data in reporting central line-associated bloodstream infections in newborns. | Q30596572 |
| | Accuracy of administrative code data for the surveillance of healthcare-associated infections: a systematic review and meta-analysis | Q30692742 |
| | Administrative data fail to accurately identify cases of healthcare-associated infection | Q31037012 |
| | Diagnosis-dependent misclassification of infections using administrative data variably affected incidence and mortality estimates in ICU patients. | Q31090304 |
| | Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections | Q31150814 |
| | Can hospital discharge diagnosis be used for surveillance of bacteremia? A data quality study of a Danish hospital discharge registry | Q32067008 |
| | Administrative coding data and health care-associated infections | Q33491748 |
| | Existing data sources for clinical epidemiology: The North Denmark Bacteremia Research Database | Q33701678 |
| | Classification of sepsis, severe sepsis and septic shock: the impact of minor variations in data capture and definition of SIRS criteria. | Q34220502 |
| | The Danish Collaborative Bacteraemia Network (DACOBAN) database. | Q34229737 |
| | Classification of positive blood cultures: computer algorithms versus physicians' assessment--development of tools for surveillance of bloodstream infection prognosis using population-based laboratory databases. | Q34413046 |
| | Systematic review of validation studies of the use of administrative data to identify serious infections | Q34555474 |
| | The clinical significance of positive blood cultures: a comprehensive analysis of 500 episodes of bacteremia and fungemia in adults. I. Laboratory and epidemiologic observations. | Q34713453 |
| | Two decades of mortality trends among patients with severe sepsis: a comparative meta-analysis*. | Q35038284 |
| | How well do discharge diagnoses identify hospitalised patients with community-acquired infections?--a validation study. | Q35129370 |
| | Computer algorithms to detect bloodstream infections | Q35872835 |
| | The Danish Civil Registration System. | Q50554185 |
| | The Danish National Patient Register. | Q50554196 |
| | Incidence, clinical characteristics and 30-day mortality of enterococcal bacteraemia in Denmark 2006-2009: a population-based cohort study. | Q50558960 |
| | National estimates of severe sepsis in United States emergency departments. | Q51102763 |
| | Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. | Q53238938 |
| | Coding UTI to sepsis in ICD-9-CM and ICD-10-CM. | Q54365207 |
| | Accuracy of reporting nosocomial infections in intensive-care-unit patients to the National Nosocomial Infections Surveillance System: a pilot study | Q64133062 |
| | Is sepsis accurately coded on hospital bills? | Q77834883 |
| | Comparisons of health care-associated infections identification using two mechanisms for public reporting | Q80157881 |
| | Coding sepsis and SIRS | Q80208727 |
| | [Diagnosis and diagnostic coding of severe sepsis and septic shock. ICD-10 should be completed with additional codes] | Q84011523 |
| | Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis | Q36598596 |
| | Central line-associated infections as defined by the Centers for Medicare and Medicaid Services' Hospital-acquired condition versus standard infection control surveillance: why hospital compare seems conflicted. | Q36773083 |
| | Computerized definitions showed high positive predictive values for identifying hospitalizations for congestive heart failure and selected infections in Medicaid enrollees with rheumatoid arthritis | Q36884059 |
| | Severe sepsis cohorts derived from claims-based strategies appear to be biased toward a more severely ill patient population | Q37261296 |
| | Administrative codes combined with medical records based criteria accurately identified bacterial infections among rheumatoid arthritis patients. | Q37286386 |
| | The Danish Civil Registration System as a tool in epidemiology | Q38223251 |
| | The Danish Microbiology Database (MiBa) 2010 to 2013. | Q42232603 |
| | Characteristics of patients with community-acquired bacteremia who have low levels of C-reactive protein (≤20 mg/L). | Q42232799 |
| | Veteran's affairs hospital discharge databases coded serious bacterial infections accurately | Q43879445 |
| | Can administrative data be used to consistently measure the burden of sepsis?*. | Q44525927 |
| | Does C-reactive protein independently predict mortality in adult community-acquired bacteremia patients with known sepsis severity? | Q44699477 |
| | Assessment of incidence of severe sepsis in Sweden using different ways of abstracting International Classification of Diseases codes: difficulties with methods and interpretation of results | Q44815850 |
| | Finding pure and simple truths with administrative data | Q45189665 |
| | Benchmarking the incidence and mortality of severe sepsis in the United States | Q45240119 |
| | Placing the burden of bacteraemia in perspective. | Q45899164 |
| | A comparison of 3 metrics to identify health care-associated infections | Q47585790 |
| | Accuracy of International classification of diseases, 10th revision codes for identifying severe sepsis in patients admitted from the emergency department. | Q47623139 |
| | Population-based burden of bloodstream infections in Finland | Q47889002 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 6 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | e0131682 | |
| P577 | publication date | 2015-06-29 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | Low Completeness of Bacteraemia Registration in the Danish National Patient Registry | |
| P478 | volume | 10 | |