Predictive value of the sequential organ failure assessment (SOFA) score for prognosis in patients with severe acute ischemic stroke: a retrospective study

Qin, Wei; Zhang, Xiaoyu; Yang, Lei; Li, Yue; Yang, Shuna; Li, Xuanting; Hu, Wenli

doi:10.1177/0300060520950103

Cited by 9 publications

(12 citation statements)

References 34 publications

(35 reference statements)

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“…prognosis. Nevertheless, the SOFA score has been shown to accurately predict the prognosis of severe acute ischemic stroke (25). OASIS, including ten assessments, facilitated clinical application and was excellent at predicting mortality in the neurological ICU (23).…”

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confidence: 99%

Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram

Jin

Zeng

et al. 2023

Front. Neurol.

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BackgroundThis study aimed to establish and validate an easy-to-use nomogram for predicting long-term mortality among ischemic stroke patients.MethodsAll raw data were obtained from the Medical Information Mart for Intensive Care IV database. Clinical features associated with long-term mortality (1-year mortality) among ischemic stroke patients were identified using least absolute shrinkage and selection operator regression. Then, binary logistic regression was used to construct a nomogram, the discrimination of which was evaluated by the concordance index (C-index), integrated discrimination improvement (IDI), and net reclassification index (NRI). Finally, a calibration curve and decision curve analysis (DCA) were employed to study calibration and net clinical benefit, compared to the Glasgow Coma Scale (GCS) and the commonly used disease severity scoring system.ResultsPatients who were identified with ischemic stroke were randomly assigned into developing (n = 1,443) and verification (n = 646) cohorts. The following factors were associated with 1-year mortality among ischemic stroke patients, including age on ICU admission, marital status, underlying dementia, underlying malignant cancer, underlying metastatic solid tumor, heart rate, respiratory rate, oxygen saturation, white blood cells, anion gap, mannitol injection, invasive mechanical ventilation, and GCS. The construction of the nomogram was based on the abovementioned features. The C-index of the nomogram in the developing and verification cohorts was 0.820 and 0.816, respectively. Compared with GCS and the commonly used disease severity scoring system, the IDI and NRI of the constructed nomogram had a statistically positive improvement in predicting long-term mortality in both developing and verification cohorts (all with p < 0.001). The actual mortality was consistent with the predicted mortality in the developing (p = 0.862) and verification (p = 0.568) cohorts. Our nomogram exhibited greater net clinical benefit than GCS and the commonly used disease severity scoring system.ConclusionThis proposed nomogram has good performance in predicting long-term mortality among ischemic stroke patients.

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confidence: 99%

Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram

Jin

Zeng

et al. 2023

Front. Neurol.

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“…Крайне важно, что на широком интервале тяжести ПОН на 5е сутки ИИ (29-49 баллов) при сопостави мых значениях по шкале SAPS II вероятная летальность на 28е сутки при кардиоэмболическом подтипе ИИ была статистически достоверно выше в сравнении с летально стью при атеротромботическом подтипе. Данные резуль таты согласуются с полученными в ходе предшествую щих отечественных и зарубежных исследований [15][16][17][18][19][20][21]. Кроме того, подтверждается неб лагоприятная прогно стическая значимость кардиоэмболического подтипа ИИ [3,22].…”

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Mathematical modeling of severe ischemic stroke with multiple organ failure: a retrospective observational study

Silkin

Ершов

Burdakov

et al. 2023

Annals of Critical Care

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INTRODUCTION: The development of organ dysfunctions and multiple organ failure (MOF) in patients with severe ischemic stroke (IS) is a factor in aggravating the clinical course and outcome. OBJECTIVE: To study the prognostic aspects of the clinical course and outcomes of severe IS with the development of MOF. MATERIALS AND METHODS: The study included 110 patients with severe IS (National Institutes of Health Stroke Scale ≥ 16 points). To assess the severity of MOF on days 1 and 5 of hospitalization, standard scales SAPS II, SOFA were used. The predictor significance of the indicators was determined by a comparative regression analysis using the least squares method. RESULTS: In patients with a fatal outcome compared to survivors, a higher severity of MOF on the SAPS II was observed both on the first (31 (25; 39) and 24 (21; 29) respectively, p < 0.0001) and fifth days of the disease (40 (33; 49.5) and 29 (25; 35) respectively, p < 0.0001). In the development of severe IS with MOF, an unfavorable outcome is significantly more often observed in the cardioembolic subtype compared to the atherothrombotic subtype of IS (50.75 and 29.85 % respectively, p = 0.0469). The probable mortality according to comparative regression analysis was significantly higher in cardioembolic stroke for patients with MOF severity from 29 to 49 points on the SAPS II (p = 0.0021). CONCLUSIONS: MOF is the most important predictor of death in severe IS. At the same time, the cardioembolic subtype of IS differ by a higher probable mortality in comparison with the atherothrombotic subtype with the MOF severity in the range of 29–49 points according to the SAPS II scale.

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“…material, see www.karger.com/doi/10.1159/000529184). Three scoring systems were used in this study: the Simplified Acute Physiology Score II (SAPS II) [20], Acute Physiology Score III (APS III) [21], and Sequential Organ Failure Assessment (SOFA) [22].…”

Section: Methodsmentioning

confidence: 99%

Red Cell Distribution Width-to-Platelet Count Ratio: A Promising Predictor of In-Hospital All-Cause Mortality in Critically Ill Patients with Acute Ischemic Stroke

Xie

Duan

et al. 2023

Cerebrovasc Dis

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Introduction: The red blood cell distribution width-to-platelet ratio (RPR), a novel inflammatory index, has already been proven as a prognostic factor in some other diseases, but its prognostic effect on critically ill patients with acute ischemic stroke (AIS) has been rarely investigated. This study aimed to investigate the association between RPR and in-hospital mortality in these patients. Methods: We extracted clinical data from the Medical Information Mart for Intensive Care IV 1.0 database. The primary outcome was in-hospital all-cause mortality of patients with critical AIS. The main independent variable was RPR. To investigate the association between RPR and in-hospital all-cause mortality in patients with critical AIS, multivariable logistic analyses, smooth curve fitting, and stratified analyses were conducted. Results: In total, 2,673 patients with AIS who were admitted to the intensive care unit were included in the study. In the multivariable analysis, in-hospital mortality was positively related to RPR (odds ratio [OR] 1.28, 95% confidence interval [CI] 1.02–1.59). According to the two-piecewise logistic regression model, we found that the inflection point of RPR was 1.89%. To the left of the inflection point (RPR ≤1.89%), we did not detect any relationship between RPR and in-hospital all-cause mortality (OR [95% CI]: 0.73 [0.41, 1.31], p = 0.2884). In contrast, to the right of the inflection point (RPR >1.89%), RPR was positively related to in-hospital all-cause mortality (OR [95% CI]: 1.61 [1.18, 2.19], p = 0.0027). Conclusions: RPR showed a nonlinear relationship with in-hospital all-cause mortality in patients with critical AIS.

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Predictive value of the sequential organ failure assessment (SOFA) score for prognosis in patients with severe acute ischemic stroke: a retrospective study

Cited by 9 publications

References 34 publications

Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram

Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram

Mathematical modeling of severe ischemic stroke with multiple organ failure: a retrospective observational study

Red Cell Distribution Width-to-Platelet Count Ratio: A Promising Predictor of In-Hospital All-Cause Mortality in Critically Ill Patients with Acute Ischemic Stroke

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