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13.10.2022 | Original Article

PIRO-CIC model can predict mortality and futility of care in critically ill cirrhosis patients in the intensive care unit

verfasst von: Rakhi Maiwall, Samba Siva Rao Pasupuleti, Harsh Vardhan Tevethia, Shiv Kumar Sarin

Erschienen in: Hepatology International | Ausgabe 2/2023

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Abstract

Background

Dynamic assessment of critically ill patients with cirrhosis (CICs) is required for accurate prognostication.

Objective

Development of a dynamic model for prediction of mortality and decision on futility of care in CICs.

Design and setting

In a prospective cohort study, we developed the PIRO-CIC model (predisposition, injury, response, organ failure for critically ill cirrhotics)] in a derivative cohort (n = 360) and validated it (n = 240) for patients admitted to the Liver ICU.

Patients

Decompensated cirrhosis admitted to ICU. The model was developed using Cox-regression analysis, and futility was performed by decision-curve analysis.

Results

CICs aged 48 ± 11.5 years, 87% males, majority being alcoholics, were enrolled, of which 73.5% were alive at one month. Factors significant for P component were INR [hazard ratio 1.12, 95% confidence interval 1.07–1.18] and CystatinC [2.25, 1.70–2.97]; for I component were sepsis [4.69, 1.90–11.57], arterial lactate[1.40, 1.02–1.93] and alcohol as etiology [2.78, 1.85–4.18]; for R component-systemic inflammatory response syndrome [1.97, 1.14–3.42] and urine neutrophil-gelatinase-associated lipocalin [HR 2.37, 1.59–3.53]; for O component-low PaO2/FiO2 ratio and need of mechanical ventilation [7.41, 4.63–11.86]. The PIRO-CIC model predicted one-month mortality with a C-index of 0.83 in the derivation and 0.80 in the validation cohorts. It predicted futility of care better than other prognostic scores. The immediate risk of mortality increased by 39% with each unit increase in PIRO-CIC score.

Limitations

Not applicable for acute-on-chronic liver failure and patients requiring emergency liver transplant.

Conclusions

Assessment and stratification of CICs with the dynamic PIRO-CIC model could determine one-month mortality and futility in the first week. Targeted and aggressive management of coagulation, kidneys, sepsis, and severe systemic inflammation may improve outcomes of CICs.

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Metadaten
Titel
PIRO-CIC model can predict mortality and futility of care in critically ill cirrhosis patients in the intensive care unit
verfasst von
Rakhi Maiwall
Samba Siva Rao Pasupuleti
Harsh Vardhan Tevethia
Shiv Kumar Sarin
Publikationsdatum
13.10.2022
Verlag
Springer India
Erschienen in
Hepatology International / Ausgabe 2/2023
Print ISSN: 1936-0533
Elektronische ISSN: 1936-0541
DOI
https://doi.org/10.1007/s12072-022-10426-4

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