Development of a prediction rule for diagnosing postoperative meningitis: a cross-sectional study.

@article{Ortiz2018DevelopmentOA,
  title={Development of a prediction rule for diagnosing postoperative meningitis: a cross-sectional study.},
  author={Olga Helena Hern{\'a}ndez Ortiz and H{\'e}ctor Iv{\'a}n Garc{\'i}a Garc{\'i}a and Fabi{\'a}n Mu{\~n}oz Ram{\'i}rez and Juan Sebasti{\'a}n Cardona Fl{\'o}rez and Bladimir Alejandro Gil Valencia and Salvador Ernesto Medina Mantilla and Mar{\'i}a Juliana Moreno Ochoa and Jorge Eli{\'e}cer Sar{\'a} Ochoa and Fabi{\'a}n Alberto Jaimes},
  journal={Journal of neurosurgery},
  year={2018},
  volume={128 1},
  pages={262-271}
}
OBJECTIVE Diagnosing nosocomial meningitis (NM) in neurosurgical patients is difficult. The standard CSF test is not optimal and when it is obtained, CSF cultures are negative in as many as 70% of cases. The goal of this study was to develop a diagnostic prediction rule for postoperative meningitis using a combination of clinical, laboratory, and CSF variables, as well as risk factors (RFs) for CNS infection. METHODS A cross-sectional study was performed in 4 intensive care units in Medellín… CONTINUE READING