Predictive ability of clinical parameters of bacteremia in hemodialysed patients
DOI:
https://doi.org/10.31053/1853.0605.v69.n3.21119Keywords:
bacteremia, hemodialysis, sensitivity, specificity, clinical variablesAbstract
Background: No clinical events to differentiate bacteteremia from other pathologies in hemodialysis patients therefore the physicians makes diagnosis and treatment decisions based on clinical evidence an local epidemiologyObjective: the aim of this work was to study the frequency of microorganism isolated from blood culture of hemodialysis patients with suspected bacteraemia and evaluate Sensitivity (S) and Specificity (E) of medical diagnostic orientation in this cases of suspected Materials and methods: we performed an observational and prospective study for one year in hemodialysis patient with suspected bacteremia. We evaluated blood pressure, temperature (Tº), altered conscious state (AEC), respiratory frequency (FR), chills (ESC),diarrhea (DIARR), blood culture results and microbiological identification. We work with the mean ± standar desviation for continuous variables and frequencies for categorical variables We analyzed S, E, negative predictive value (VPN), positive predictive value (VPP) Resultados: a total of 87 events with suspected bacteremia 34 (39%) were confirmed with positive blood culture the most common microorganisms were cocci Gram positive (CGP) 65%,Most relevant clinical variables were PCP ? 2 (VPN 81%), Tº ? 38 (VPN 76%) and AEC (E 98% y VPP 80%). Conclusions: CGP were the most prevalent microorganisms None of the clinical variables shows high S and E indicating low usefulness as a predictive tool of bacteremia Excepting AEC with E98% and VPP 80% but it would be necessary to evaluate this variable with a more number patient. Results justify to routine HC use like diagnostic tool.
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Barefanger J, Drake C, Kacich G: Clinical and Financial Benefits or Rapid Bacterial Identification and Antimicrobial Susceptibility Testing. J. Clinical Microbiology;1999, 37: 1415- 1418. Full Text
Bennett I. L. Jr., and Beeson P B.: Bacteremia: a consideration of some experimental and clinical aspects Yale J. Biol. Med.; 1954, 26:241-262. Full Text
Epstein D, Raveh D, Schlesinger Y, Rudensky B, Gottehrer N, and. Yinnon A. M.: Adult Patients with Occult Bacteremia Discharged from the Emergency Department: Epidemiological and Clinical Characteristics. Clin Infect Dis.; 2001 32: 559-565. Full Text
Laupacis A, Sekar N, Stiell I. Clinical Prediction Rules. Journal of American Medical Association;1997, 277: 488-494
SARNAK, M and JABER, B.: Mortality caused by sepsis in patients with end-stage renal disease compared with the general population. Kidney International; 2000, 58: 1758–1764. Full Text
Astor B, Eustace J, Powe N, Klag M, Fink N, Coresh J.: The Choice Study. Type of vascular access and survival among incident hemodialysis patients: the Choices for helthy outcomes in caring for ESRD (CHOICE) Study. J. Am. Soc Nephrol.; 2005, 16:1449- 1455. Full Text
Bates D, Sands K, Miller E, Lanken P, Hibberd P, Graman P, et al. Predicting bacteremia in patients with sepsis syndrome: J Infect Dis., 1997:176:1538-51. Full text
Martínez P, Odriozola, N. García Jiménez, A. Gutiérrez Macías, Lizarralde Palacios, Vicario R: Bacteriemia adquirida en la comunidad: elaboración de un modelo de predicción clínica en pacientes ingresados en un servicio de medicina interna. Medicina Clínica 2004;123: 241-246. Abstract
Shmuely H, Pitlik S, Yahav Samra Z, Leibovici L. Seven-year study of bacteremia in hospitalized patients on chronic hemodialysis in a single tertiary hospital. Renal Fail; 2003: 25 579-588. Abstract
Stevenson K, Hannah E, Lowder C, Adcox M, Davidson R, Mallea M, et al. Epidemiology of hemodialysis vascular access infections from longitudinal infection surveillance data: predicting the impact of NKFDOQI clinical practice guidelines for vascular access. Am.J. Kidney Dis.2002; 29: 549-555. Abstract
Taylor G, Gravel D, Johnston L, Embil J, Holton D, Paton S. Incidence of bloodstream infection in multicenter inception cohorts of hemodialysis patients.American Journal Infect Control. 2004; 32:155-60. Full Text
Hoen B, Paul-Dauphin A, Hestin D, Kessel M. EPIBACDIAL: a multicenter prospective study of risk factor bacteremia in chronic hemodialysis patients. J. American. Soc. Nephrol.1998; 9: 869-876. Full Text
Liu J, Su Y, Liu C, Chen J. Nosocomial bloodstream infection in patients with end-stage renal disease: excess length of hospital stay, extra cost and attributable mortality. Journal . Hosp. Infect. 2002; 50: 224-227. Abstract
Zárate MS, Jorda Vargas L, Lanza A, Relloso S, Diaz C, Smayevsky. J. Estudio microbiológico de bacteriemias y fungemias en pacientes en hemodiálisis crónica Revista Argentina de Microbiología. 2005; 37: 145-149. Full Text
Cisneros-Herrerosa J, Cobo-Reinosob J, Pujol-Rojoc M, Rodríguez-Bañod J y Salavert-Lletíe M. Guía para el diagnóstico y tratamiento del paciente con bacteriemia. Guías de la Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica (SEIMC) 2007 Enfermedades Infecciosas Microbiología Clínica 2007; 25 :111-30.
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