Identification of subclasses of sepsis that showed different clinical outcomes and responses to amount of fluid resuscitation: a latent profile analysis
Zhongheng Zhang; Gensheng Zhang; Hemant Goyal; Lei Mo; Yucai Hong · 2018 · Critical Care
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND AND OBJECTIVE: Sepsis is a heterogeneous disease and identification of its subclasses may facilitate and optimize clinical management. This study aimed to identify subclasses of sepsis and its responses to different amounts of fluid resuscitation. METHODS: This was a retrospective study conducted in an intensive care unit at a large tertiary care hospital. The patients fulfilling the diagnostic criteria of sepsis from June 1, 2001 to October 31, 2012 were included. Clinical and laboratory variables were used to perform the latent profile analysis (LPA). A multivariable logistic regr
Abstract by Zhongheng Zhang; Gensheng Zhang; Hemant Goyal; Lei Mo; Yucai Hong, Critical Care (2018) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s13054-018-2279-3