Informatics Infrastructure for Syndrome Surveillance, Decision Support, Reporting, and Modeling of Critical Illness

Herasevich, Vitaly; Pickering, Brian; Dong, Yue; Peters, Steve G.; Gajic, Ognjen

doi:10.4065/mcp.2009.0479

Cited by 213 publications

(152 citation statements)

References 23 publications

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“…Subjective escalation to the 10-plex panel and liberal utilization of the second-tier tests produced no additional benefit. On the other hand, perceivable limitations of the proposed approach are the higher reagent cost of the 6-plex profile as primary screening, instead of a repeat analysis; the reluctance to forsake cutoff values and break away from established procedures, as often happens in diverse medical fields, 33 and an anecdotal concern that results matched to four covariates may breach anonymization and therefore data could not be shared without infringement of existing policies. Furthermore, daily publichealth practice cannot depend on manual data entry.…”

Section: Discussionmentioning

confidence: 99%

Precision newborn screening for lysosomal disorders

Baerg

Stoway

Hart

et al. 2018

Genetics in Medicine

100

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Section: Discussionmentioning

confidence: 99%

Precision newborn screening for lysosomal disorders

Baerg

Stoway

Hart

et al. 2018

Genetics in Medicine

100

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“…Data were electronically abstracted from the electronic health record using validated search algorithms as previously described 20, 21. Laboratory, imaging, and physiological parameters closest to ICU admission were abstracted.…”

Section: Methodsmentioning

confidence: 99%

Role of Admission Troponin‐T and Serial Troponin‐T Testing in Predicting Outcomes in Severe Sepsis and Septic Shock

Vallabhajosyula

Sakhuja

Geske

et al. 2017

JAHA

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BackgroundTroponin‐T elevation is seen commonly in sepsis and septic shock patients admitted to the intensive care unit. We sought to evaluate the role of admission and serial troponin‐T testing in the prognostication of these patients.Methods and ResultsThis was a retrospective cohort study from 2007 to 2014 on patients admitted to the intensive care units at the Mayo Clinic with severe sepsis and septic shock. Elevated admission troponin‐T and significant delta troponin‐T were defined as ≥0.01 ng/mL and ≥0.03 ng/mL in 3 hours, respectively. The primary outcome was in‐hospital mortality. Secondary outcomes included 1‐year mortality and lengths of stay. During this 8‐year period, 944 patients met the inclusion criteria with 845 (90%) having an admission troponin‐T ≥0.01 ng/mL. Serial troponin‐T values were available in 732 (78%) patients. Elevated admission troponin‐T was associated with older age, higher baseline comorbidity, and severity of illness, whereas significant delta troponin‐T was associated with higher severity of illness. Admission log10 troponin‐T was associated with unadjusted in‐hospital (odds ratio 1.6; P=0.003) and 1‐year mortality (odds ratio 1.3; P=0.04), but did not correlate with length of stay. Elevated delta troponin‐T and log10 delta troponin‐T were not significantly associated with any of the primary or secondary outcomes. Admission log10 troponin‐T remained an independent predictor of in‐hospital mortality (odds ratio 1.4; P=0.04) and 1‐year survival (hazard ratio 1.3; P=0.008).ConclusionsIn patients with sepsis and septic shock, elevated admission troponin‐T was associated with higher short‐ and long‐term mortality. Routine serial troponin‐T testing did not add incremental prognostic value in these patients.

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“…[15][16] Patients administered naloxone in the operating room, procedural room or postanesthesia care unit were excluded. Patients who remained intubated following dismissal from anesthetic care and transferred to an intensive care unit were also excluded.…”

Section: Population Studiedmentioning

confidence: 99%

Predictors of Delayed Postoperative Respiratory Depression Assessed From Naloxone Administration

Weingarten

Herasevich

McGlinch

et al. 2016

Survey of Anesthesiology

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Informatics Infrastructure for Syndrome Surveillance, Decision Support, Reporting, and Modeling of Critical Illness

Abstract: Extraction of essential ICU data from a hospital EMR into an open, integrative database facilitates process control, reporting, syndrome surveillance, decision support, and outcome research in the ICU.

Cited by 213 publications

References 23 publications

Precision newborn screening for lysosomal disorders

Precision newborn screening for lysosomal disorders

Role of Admission Troponin‐T and Serial Troponin‐T Testing in Predicting Outcomes in Severe Sepsis and Septic Shock

Predictors of Delayed Postoperative Respiratory Depression Assessed From Naloxone Administration

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