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Presenting hemodynamic phenotypes in ED patients with confirmed sepsis.
Nowak, Richard M; Reed, Brian P; Nanayakkara, Prabath; DiSomma, Salvatore; Moyer, Michele L; Millis, Scott; Levy, Phillip.
Afiliação
  • Nowak RM; Department of Emergency Medicine, Henry Ford Health System, Detroit, MI, USA. Electronic address: rnowak1@hfhs.org.
  • Reed BP; Department of Biostatistics, Wayne State University, Detroit, MI, USA. Electronic address: bpreed@med.wayne.edu.
  • Nanayakkara P; Section of Acute Medicine, Department of Internal Medicine, VU Medical Center, Amsterdam, Netherlands. Electronic address: P.Nanayakkara@vumc.nl.
  • DiSomma S; Department of Medical-Surgery Sciences and Translational Medicine, University Sapienza, Rome, Italy. Electronic address: Salvatore.Disomma@uniroma1.it.
  • Moyer ML; Department of Emergency Medicine, Henry Ford Health System, Detroit, MI, USA. Electronic address: mmoyer1@hfhs.org.
  • Millis S; Department of Biostatistics, Wayne State University, Detroit, MI, USA. Electronic address: smillis@med.wayne.edu.
  • Levy P; Departments of Emergency Medicine and Physiology and Cardiovascular Research Institute, Wayne State University, Detroit, MI, USA. Electronic address: plevy@med.wayne.edu.
Am J Emerg Med ; 34(12): 2291-2297, 2016 Dec.
Article em En | MEDLINE | ID: mdl-27613360
OBJECTIVES: To derive distinct clusters of septic emergency department (ED) patients based on their presenting noninvasive hemodynamic (HD) measurements and to determine if any clinical parameters could identify these groups. METHODS: Prospective, observational, convenience study of individuals with confirmed systemic infection. Presenting, pretreatment noninvasive HD parameters were compiled using Nexfin (Bmeye/Edwards LifeSciences) from 127 cases. Based on normalized parameters, k-means clustering was performed to identify a set of variables providing the greatest level of intercluster discrimination and intracluster cohesion. RESULTS: Our best HD clustering model used 2 parameters: the cardiac index (CI [L/min per square meter]) and systemic vascular resistance index (SVRI [dynes·s/cm5 per square meter]). Using this model, 3 different patient clusters were identified. Cluster 1 had high CI with normal SVRI (CI, 4.03 ± 0.61; SVRI, 1655.20 ± 348.08); cluster 2 low CI with increased vascular tone (CI, 2.50 ± 0.50; SVRI, 2600.83 ± 576.81); and cluster 3 very low CI with markedly elevated SVRI (CI, 1.37 ± 0.81; SVRI, 5951.49 ± 1480.16). Cluster 1 patients had the lowest 30-day overall mortality. Among clinically relevant variables available during the initial patient evaluation in the ED age, heart rate and temperature were significantly different across the 3 clusters. CONCLUSIONS: Emergency department patients with confirmed sepsis had 3 distinct cluster groupings based on their presenting noninvasively derived CI and SVRI. Further clinical studies evaluating the effect of early cluster-specific therapeutic interventions are needed to determine if there are outcome benefits of ED HD phenotyping in these patients.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Hemodinâmica Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Am J Emerg Med Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Hemodinâmica Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Am J Emerg Med Ano de publicação: 2016 Tipo de documento: Article