Estudio de la mortalidad post-UCI durante 4 años (2006-2009). Análisis de factores en relación con el fallecimiento en planta tras el alta de UCI

Campos, R. Abizanda; Altaba-Tena, Susana; Muncharaz, A. Belenguer; Font, Silvia; Sellés, A. Ferrándiz; Campos, L. Mateu; Belmar, Javier de León

doi:10.1016/j.medin.2010.12.012

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…For example, providing step-down units (e.g., respiratory or intermediate care units), for ICU-discharged patients who need more intensive monitoring and rehabilitation care than can be provided in a general medical ward, might be a good way to avoid unexpected clinical deterioration in some patients following ICU discharge [ 26 ]. Perhaps we are focusing too much on patient characteristics and ICU needs, and forgetting the type of hospital care required after discharge from the ICU [ 27 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study

et al. 2015

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PurposeEarly discharge from the intensive care unit (ICU) may constitute a strategy of resource consumption optimization; however, unplanned readmission of hospitalized patients to an ICU is associated with a worse outcome. We aimed to compare the effectiveness of the Stability and Workload Index for Transfer score (SWIFT), Sequential Organ Failure Assessment score (SOFA) and simplified Therapeutic Intervention Scoring System (TISS-28) in predicting unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU.MethodsWe conducted a prospective cohort study in a single tertiary hospital in southern Brazil. All adult patients admitted to the ICU for more than 24 hours from January 2008 to December 2009 were evaluated. SWIFT, SOFA and TISS-28 scores were calculated on the day of discharge from the ICU. A stepwise logistic regression was conducted to evaluate the effectiveness of these scores in predicting unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU. Moreover, we conducted a direct accuracy comparison among SWIFT, SOFA and TISS-28 scores.ResultsA total of 1,277 patients were discharged from the ICU during the study period. The rate of unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU was 15% (192 patients). In the multivariate analysis, age (P = 0.001), length of ICU stay (P = 0.01), cirrhosis (P = 0.03), SWIFT (P = 0.001), SOFA (P = 0.01) and TISS-28 (P<0.001) constituted predictors of unplanned ICU readmission or unexpected death. The SWIFT, SOFA and TISS-28 scores showed similar predictive accuracy (AUC values were 0.66, 0.65 and 0.74, respectively; P = 0.58).ConclusionsSWIFT, SOFA and TISS-28 on the day of discharge from the ICU have only moderate accuracy in predicting ICU readmission or death. The present study did not find any differences in accuracy among the three scores.

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Section: Discussionmentioning

confidence: 99%

Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study

et al. 2015

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“…However, other patients die unexpectedly on the ward, and these death could potentially be avoided with a better process of care. (13)…”

Section: Discussionmentioning

confidence: 99%

Hidden hospital mortality in patients with sepsis discharged from the intensive care unit

Aguiar-Ricardo¹,

Mateus²,

Gonçalves-Pereira³

2019

Revista Brasileira De Terapia Intensiva

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Objective To evaluate the impact of the presence of sepsis on in-hospital mortality after intensive care unit discharge. Methods Retrospective, observational, single-center study. All consecutive patients discharged alive from the intensive care unit of Hospital Vila Franca de Xira (Portugal) from January 1 to December 31, 2015 (N = 473) were included and followed until death or hospital discharge. In-hospital mortality after intensive care unit discharge was calculated for septic and non-septic patients. Results A total of 61 patients (12.9%) died in the hospital after being discharged alive from the intensive care unit. This rate was higher among the patients with sepsis on admission, 21.4%, whereas the in-hospital, post-intensive care unit mortality rate for the remaining patients was nearly half that, 9.3% (p < 0.001). Other patient characteristics associated with mortality were advanced age (p = 0.02), male sex (p < 0.001), lower body mass index (p = 0.02), end-stage renal disease (p = 0.04) and high Simplified Acute Physiology Score II (SAPS II) at intensive care unit admission (p < 0.001), the presence of shock (p < 0.001) and medical admission (p < 0.001). We developed a logistic regression model and identified the independent predictors of in-hospital mortality after intensive care unit discharge. Conclusion Admission to the intensive care unit with a sepsis diagnosis is associated with an increased risk of dying in the hospital, not only in the intensive care unit but also after resolution of the acute process and discharge from the intensive care unit.

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Risk factors for readmission to ICU and analysis of intra-hospital mortality

Álvarez

Mediavilla

Solís

et al. 2022

Medicina Clínica (English Edition)

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Estudio de la mortalidad post-UCI durante 4 años (2006-2009). Análisis de factores en relación con el fallecimiento en planta tras el alta de UCI

Cited by 9 publications

References 28 publications

Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study

Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study

Hidden hospital mortality in patients with sepsis discharged from the intensive care unit

Risk factors for readmission to ICU and analysis of intra-hospital mortality

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