Dataset Information

Risk Factors for Multiple Organ Dysfunction Syndrome in Severe Stroke Patients.

ABSTRACT:

Background

Severe stroke patients have poor clinical outcome which may be associated with development of multiple organ dysfunction syndrome (MODS). Therefore, the aim of our study was to investigate independent risk factors for development of MODS in severe stroke patients.

Methods

Ninety seven severe stroke patients were prospective recruited from Jan 2011 to Jun 2015. The development of MODS was identified by Sequential Organ Failure Assessment (SOFA) score (score ? 3, at least two organs), which was assessed on day 1, 4, 7, 10 and 14 after admission. Baseline characteristics, Acute Physiology and Chronic Health Evaluation (APACHE) II score, Glasgow coma score (GCS) and cerebral imaging parameters were collected at admission. Cox regression was performed to determine predictors for the development of MODS. Medical complications after admission and in-hospital mortality were also investigated.

Results

33 (34%) patients were in MODS group and 64 (66%) were in non-MODS group within 14 days after admission. Patients in MODS group had more smoker (51.5% vs 28.1%, p = 0.023), higher NIHSS score (23.48 ± 6.12 vs 19.81 ± 4.83, p = 0.004), higher APACHE II score (18.70 ± 5.18 vs 15.64 ± 4.36, p = 0.003) and lower GCS score (6.33 ± 2.48 vs 8.14 ± 2.73, p = 0.002). They also had higher rate of infarction in multi vascular territories (36.4% vs 10.9%, p = 0.003). The most common complication in all patients was pulmonary infection, while complication scores were comparable between two groups. Patients with MODS had higher in-hospital mortality (69.7% vs 9.4%, p = 0.000). In Cox regression, NIHSS score (RR = 1.084, 95% CI 1.019-1.153) and infarction in multi vascular territories (RR = 2.345 95% CI 1.105-4.978) were independent risk factors for development of MODS.

Conclusions

In acute phase of stroke, NIHSS score and infarction in multi vascular territories predicted MODS in severe stroke patients. Moreover, patients with MODS had higher in-hospital mortality, suggesting that early identification of MODS is critical important.

SUBMITTER: Qin W

PROVIDER: S-EPMC5125686 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Risk Factors for Multiple Organ Dysfunction Syndrome in Severe Stroke Patients.

Qin Wei W Zhang Xiaoyu X Yang Shuna S Li Yue Y Yuan Junliang J Yang Lei L Li Shujuan S Hu Wenli W

PloS one 20161128 11

<h4>Background</h4>Severe stroke patients have poor clinical outcome which may be associated with development of multiple organ dysfunction syndrome (MODS). Therefore, the aim of our study was to investigate independent risk factors for development of MODS in severe stroke patients.<h4>Methods</h4>Ninety seven severe stroke patients were prospective recruited from Jan 2011 to Jun 2015. The development of MODS was identified by Sequential Organ Failure Assessment (SOFA) score (score ≥ 3, at least ...[more]

PMID: 27893797

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Project description:BackgroundShock and organ damage occur in critically ill patients in the emergency department because of biological responses to invasion, and cytokines play an important role in their development. It is important to predict early multiple organ dysfunction (MOD) because it is useful in predicting patient outcomes and selecting treatment strategies. This study examined the accuracy of biomarkers, including interleukin (IL)-6, in predicting early MOD in critically ill patients compared with that of quick sequential organ failure assessment (qSOFA).MethodsThis was a multicenter observational sub-study. Five universities from 2016 to 2018. Data of adult patients with systemic inflammatory response syndrome who presented to the emergency department or were admitted to the intensive care unit were prospectively evaluated. qSOFA score and each biomarker (IL-6, IL-8, IL-10, tumor necrosis factor-α, C-reactive protein, and procalcitonin [PCT]) level were assessed on Days 0, 1, and 2. The primary outcome was set as MOD on Day 2, and the area under the curve (AUC) was analyzed to evaluate qSOFA scores and biomarker levels.ResultsOf 199 patients, 38 were excluded and 161 were included. Patients with MOD on Day 2 had significantly higher qSOFA, SOFA, and Acute Physiology and Chronic Health Evaluation II scores and a trend toward worse prognosis, including mortality. The AUC for qSOFA score (Day 0) that predicted MOD (Day 2) was 0.728 (95% confidence interval [CI]: 0.651-0.794). IL-6 (Day 1) showed the highest AUC among all biomarkers (0.790 [95% CI: 0.711-852]). The combination of qSOFA (Day 0) and IL-6 (Day 1) showed improved prediction accuracy (0.842 [95% CI: 0.771-0.893]). The combination model using qSOFA (Day 1) and IL-6 (Day 1) also showed a higher AUC (0.868 [95% CI: 0.799-0.915]). The combination model of IL-8 and PCT also showed a significant improvement in AUC.ConclusionsThe addition of IL-6, IL-8 and PCT to qSOFA scores improved the accuracy of early MOD prediction.

Project description:OBJECTIVES:To describe the epidemiology, morbidity, and mortality of new or progressive multiple organ dysfunction syndrome in children with severe sepsis. DESIGN:Secondary analysis of a prospective, cross-sectional, point prevalence study. SETTING:International, multicenter PICUs. PATIENTS:Pediatric patients with severe sepsis identified on five separate days over a 1-year period. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:Of 567 patients from 128 PICUs in 26 countries enrolled, 384 (68%) developed multiple organ dysfunction syndrome within 7 days of severe sepsis recognition. Three hundred twenty-seven had multiple organ dysfunction syndrome on the day of sepsis recognition. Ninety-one of these patients developed progressive multiple organ dysfunction syndrome, whereas an additional 57 patients subsequently developed new multiple organ dysfunction syndrome, yielding a total proportion with severe sepsis-associated new or progressive multiple organ dysfunction syndrome of 26%. Hospital mortality in patients with progressive multiple organ dysfunction syndrome was 51% compared with patients with new multiple organ dysfunction syndrome (28%) and those with single-organ dysfunction without multiple organ dysfunction syndrome (10%) (p < 0.001). Survivors of new or progressive multiple organ dysfunction syndrome also had a higher frequency of moderate to severe disability defined as a Pediatric Overall Performance Category score of greater than or equal to 3 and an increase of greater than or equal to 1 from baseline: 22% versus 29% versus 11% for progressive, new, and no multiple organ dysfunction syndrome, respectively (p < 0.001). CONCLUSIONS:Development of new or progressive multiple organ dysfunction syndrome is common (26%) in severe sepsis and is associated with a higher risk of morbidity and mortality than severe sepsis without new or progressive multiple organ dysfunction syndrome. Our data support the use of new or progressive multiple organ dysfunction syndrome as an important outcome in trials of pediatric severe sepsis although efforts are needed to validate whether reducing new or progressive multiple organ dysfunction syndrome leads to improvements in more definitive morbidity and mortality endpoints.

Dataset Information

Risk Factors for Multiple Organ Dysfunction Syndrome in Severe Stroke Patients.

Background

Methods

Results

Conclusions

Publications

Risk Factors for Multiple Organ Dysfunction Syndrome in Severe Stroke Patients.

Similar Datasets

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