Abstract

In this observational study, we analysed a cohort of 164 subarachnoid haemorrhage survivors (until discharge from intensive care) with the aim to detect factors that influence the length of stay (LOS) in intensive care with multiple linear regression methods. Moreover, binary logistic regression methods were used to examine whether the time in intensive care is a predictor of outcome after 1 year. The clinical 1-year outcome was measured prospectively in a 12-month follow-up by telephone interview and categorised by the modified Rankin Scale (mRS). Patients who died during their stay in intensive care were excluded. Complications like pneumonia (β = 5.11; 95% CI = 1.75–8.46; p = 0.0031), sepsis (β = 9.54; 95% CI = 3.27–15.82; p = 0.0031), hydrocephalus (β = 4.63; 95% CI = 1.82–7.45; p = 0.0014), and delayed cerebral ischemia (DCI) (β = 3.38; 95% CI = 0.19–6.56; p = 0.038) were critical factors depending the LOS in intensive care as well as decompressive craniectomy (β = 5.02; 95% CI = 1.35–8.70; p = 0.0077). All analysed comorbidities such as hypertension, diabetes, hypothyroidism, cholesterinemia, and smoking history had no significant impact on the LOS in intensive care. LOS in intensive care (OR = 1.09; 95% CI = 1.03–1.15; p = 0.0023) as well as WFNS grade (OR = 3.72; 95% CI = 2.23–6.21; p < 0.0001) and age (OR = 1.06; 95% CI = 1.02–1.10; p = 0.0061) were significant factors that had an impact on the outcome after 1 year. Complications in intensive care but not comorbidities are associated with higher LOS in intensive care. LOS in intensive care is a modest but significant predictor of outcomes after subarachnoid haemorrhage.

Highlights

  • Some nosocomial infections in SAH are known to determine prolonged LOS3,7

  • We evaluated the direct impact of the length of stay (LOS) in intensive care on the outcome after suffering from SAH

  • 164 of 203 patients were available for the analysis regarding prediction of LOS in ICU by complications and interventions

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Summary

Introduction

Some nosocomial infections in SAH are known to determine prolonged LOS3,7. Galea et al reported that patients who had significantly longer LOS after SAH had unfavourable outcomes at discharge[8]. It is uncertain whether the total LOS in ICU is a direct predictor of outcome. This study aimed to investigate factors that determine the LOS in intensive care like complications, comorbidities, and interventions after SAH.

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